The 100 most-cited articles in International Journal for Research in Applied Science and Engineering Technology, 2022

Abstract: The field of machine learning has taken a dramatic twist in re- cent times, with the rise of the Artificial Neural Network (ANN). These biologically inspired computational models can far exceed the per- performance of previous forms of artificial intelligence in common machine-learning tasks. One of the most impressive forms of ANN architecture is that of the Convolutional Neural Network (CNN). CNNs are primarily used to solve difficult image-driven pattern recognition tasks and with their precise yet simple architecture, offer a simplified method of getting started with ANNs. This document briefly introduces CNNs, discussing recently published papers and newly formed techniques in developing this bill- leniently fantastic image recognition models. This introduction assumes you are familiar with ANNs and machine learning fundamentals.

Abstract: Advanced video watermarking may be a procedure for inserting extra information beside video flag. Inserted information is utilized for copyright proprietor recognizable proof. A number of video watermarking techniques are proposed. These methods misuse distinctive ways in arrange to implant a strong watermark and to preserve the first video flag constancy. In this paper, Computerized video watermarking strategies and assaults on watermarks are displayed.

Abstract: Over the world, India is the largest producer of pomegranate. India produces excellent varieties of pomegranate having soft seeds, very less acids and very attractive colours of fruits and grains. There is tremendous potential for exports of pomegranates from India. Quality grading of pomegranate is an important operation in the export of the pomegranate. Generally external appearance of the fruit decides the quality of the fruit. The fruit with bright colour, good texture and shape is quickly chosen by the customer. Though pomegranate can be qualified or graded manually, it is insufficient method which consumes more time also. Automated grading system quickly grades the pomegranate according to quality of the fruit with no errors. This paper discusses the machine vision approach to form a quality grading analysis system. Keywords: Image acquisition, Image Pre-processing, Image segmentation, and feature extraction, ANN (Artificial Neural Network)

Abstract: Living organisms, namely, prokaryotes and eukaryotes, are able to synthesize a variety of polymers, such as nucleic acids, proteins, and other polyamides, polysaccharides, polyesters, polythioesters, polyanhydrides, polyisoprenoids, and lignin. Microorganisms provide a source of biopolymers and biopolysaccharides from renewable sources. Bacteria are capable of yielding biopolymers with properties comparable to plastics derived from petrochemicals, though more expensive. They have the additional advantage of being biodegradable. A wide range of microbial polysaccharides have been studied, and structure/function relationships for a number of these macromolecules have been determined. These biopolymers accomplish different essential and beneficial functions for the organisms. Among the biopolymers produced, many are used for various industrial applications. Currently, the biotechnological production of polymers has been mostly achieved by fermentation of microorganisms in stirred bioreactors. The biopolymers can be obtained as extracellular or intracellular compounds.…

Abstract—Bamboo, which is a fast-growing and ecologically friendly material for structural applications, is being considered quite appropriate. Which consist property similar to the steel so bamboo drew the attention of many researchers for use as reinforcement in concrete. Some physical and mechanical property test are conducted in the specimen of messy and manga bamboo. Moisture content test, density test, compressive test & tensile test. The tensile strength of bamboo is high and reached up to 109.9 to 118.37 mpa. This makes bamboo a pretty alternative to steel in reinforcement loading applications. In this study, it has been attempted to develop engineered bamboo structural elements for use in low-cost housing or G+1 structures. Keywords—Bamboo Reinforced Concrete, Universal testing machine (UTM), Tensile Strength, Compression Strength, Flexural Strength.

Abstract: Breast cancer is one of the leading cause for the death of women. In women Breast cancer is treated as the most significant issue. According to statistics released by the International Agency for Research on Cancer (IARC) in December 2020, Breast cancer has now overtaken lung cancer as the most commonly diagnosed cancer in women worldwide. Early diagnosis of this helps to prevent the cancer. If breast cancer is detected in early stage, then Survival rate is very high. Machine Learning methods are effective ways to classify data. Especially in the medical field, where those methods are widely used in diagnosis and analysis for decision making. In this paper, Data Visualization and performance comparisons between different machine learning algorithms: Support Vector Machine (SVM), Decision Tree, Naive Bayes (NB), K Nearest Neighbours (k-NN), Adaboost, XGboost and Random Forest conducted on Wisconsin breast cancer Dataset. The main objective is to evaluate the accuracy in the classification of data in terms of efficiency and effectiveness of each algorithm in terms of…

Abstract: Identification of the correct medicinal plants that goes in to the preparation of a medicine is very important in ayurvedic, folk and herbal medicinal industry. The main features required to identify a medicinal plant is its leaf shape, color and texture. Color and texture from both sides of the leaf contain deterministic parameters to identify the species. In this project we explore feature vectors from both the front and back side of a green leaf along with morphological features to arrive at a unique optimum combination of features that maximizes the identification rate. A database of medicinal plant leaves is created from scanned images of front and back side of leaves of commonly used medicinal plants. The leaves are classified based on the shape and dimension combination. It is expected that for the automatic identification of medicinal plants this system will help the community people to develop their knowledge on medicinal plants, help taxonomists to develop more efficient species identification techniques and also participate significantly in the pharmaceutical…

Abstract: The aim of this project is to replace cement with plastic waste in paver block and to reduce the cost of paver block when compared to that of convention concrete paver blocks. At present nearly 56 lakhs tones of plastic waste is produced in India per year. The degradation rate of plastic waste is also a very slow process. Hence the project is helpful in reducing plastic waste in a useful way. In this project we have used plastic waste in different proportions with quarry dust, coarse aggregate and ceramic waste. The paver blocks were prepared and tested and the results were discussed. Keywords: Paver block, Plastic waste, Ceramic waste

Abstract: Schiff bases have been synthesized by the condensation of primary aryl amine with acetophenones under solvent free condition. The reaction is catalyzed by natural acid found unripe mango. This reaction is very simple and has many benefits because of cheap catalyst, good yield of product, simple experimental conditions and easily available natural products. The products were identified by various spectroscopic techniques.

Abstract: This article presents a load flow analysis of an IEEE14 BUS system using the Newton-Raphson method, which simplifies the analysis of load balancing problems. The software used for the programming platform is MATLAB. This paper gives an overview of the electrical performance and power flows (real and reactive) under a steady state. There are various methods for load flow computations. The gauss-seidel method is more popular in smaller systems because of less computational time. In the case of larger systems computation time increases in this condition, the Newton-Raphson method is preferred. This project aims to develop a MATLAB program to calculate voltages and active and reactive power at each bus for IEEE 14 bus systems. The MATLAB program is executed with the input data and results are compared. Keywords: load flow studies, Newton-Raphson method, IEEE 14 bus system.

Abstract: In the recent time automated face recognition has become a trend and has been developed very much , this is mainly due to two reasons; first it is due to availability of modern technologies and second is due to the ability to save time using face recognition in the process of taking attendance of students. Its usage will grow vast in the future as it saves a lot of time. It consumes a lot of time to take attendance manually and few might also fake the attendance, in order to prevent time consumption and avoid faking the attendance face recognition is used to identify the person present in the class and mark his attendance , this is done with the help of image or video frame. We proposed an automatic attendance management system using machine learning techniques such as CNN algorithm. The face detection and recognition will automatically detect the students in the classroom and mark the attendance by recognizing the person.. The faculty has access to add the student details such as name, USN, phone number, email-id. Then the image is captured through a high definition…

Abstract: Bioenergy, a renewable energy holds a promising solution to the most pressing problems of energy crises and waste treatment, disposal and thereby creating a circular economy. There is a need to exploit biogas potential to the fullest to enhance its productivity and utilize it for heating, cooling, generating electricity and also for transportation. Valorisation of the municipal solid waste (MSW), agricultural non-fodder waste, sewage sludge, animal waste, etc., for energy production (biogas), material recovery (fertilizers) and waste elimination (waste treatment) attracts the attention of the researchers. This research review highlights the crucial parameters like pH, temperature, OLR, HRT, etc. affecting the biogas productivity and provide insights to run the digesters at optimum conditions thus optimizing the biogas yield. Keywords: Biogas, Bio-energy, Anaerobic Digestion, Co-digestion

Abstract: To meet the challenges of present computing, researchers working towards break away from traditional types of interaction. This paper identifies new trends in technology, it’s uses and advantage. We concluded that Gesture controlled user interface gives realistic opportunities especially for those users who are uncomfortable with commonly used devices. It’s appropriate for older and disabled people. Gesture controlled user interface has some potential to improve quality of life especially for older and disabled people along with general users. Keyword: Gesture control, user interfaces, elderly, appearing and ambient devices

Abstract: Image captioning is a brand-new study area in the science of computer vision. The primary goal of picture captioning is to create a natural language description for the input image. In recent years, research on natural language processing and computer vision has become increasingly interested in the problem of automatically synthesising descriptive phrases for photos. Image captioning is a crucial task that demands both the ability to create precise and accurate description phrases as well as a semantic understanding of the images. Long Short Term Memory (LSTM) is used to precisely organise data using the available keywords to form meaningful sentences. The authors of this research propose a hybrid system based on multilayer Convolutional Neural Networks to create a lexicon for characterising the visuals. The convolutional neural network employs trained captions to deliver an accurate description after comparing the target image to a sizable dataset of training images. We demonstrate the effectiveness of our suggested methodology using the Flickr 8K datasets.

Abstract: In this paper, we propose a brain tumor segmentation and classification method for multi-modality magnetic resonance image scans. The data from multi-modal brain tumor segmentation challenge are utilized which are co-registered and skull stripped, and the histogram matching is performed with a reference volume of high contrast. We are detecting tumor by using preprocessing, segmentation, feature extraction, optimization and lastly classification after that preprocessed image use to classify the tissue. We performed a leave-one out cross-validation and achieved 88 Dice overlap for the complete tumor region, 75 for the core tumor region and 95 for enhancing tumor region, which is higher than the Dice overlap reported. Keywords: Machine Learning, CNN Algorithm, Deep Learning, Classification etc.

Abstract: An essential step in developing any program or app is choosing the appropriate front-end framework or library. Frontend Web development sounds similar to the JavaScript framework. Both of these choices are available for web development requirements. Vue, React, and Angular all fall under the umbrella of JavaScript frameworks. Due to the extensive spectrum of issues developers encounter daily, the industry offers a wide diversity. With the help of many accessible frameworks, a web application may be constructed as intended while considering all practical considerations. The advantages and disadvantages of the fundamental elements and distinctive features of frameworks are discussed in this paper. Additionally, it offers a thorough analysis of the research on front-end frameworks. This study gives an overview of the front-end frameworks discovered in the literature, outlining the essential components of these frameworks using a systematic literature review as methodology. The three most popular frameworks, Vue.js, Angular, and React, were examined for the necessary features.

Abstract: In recent days internet is considered as the main supply for searching the information and collecting data . The extraction of the data from the web offers several query results. Machine-controlled tools are needed through queries from the amount of pages by using the internet to spot the connected info. Data mining method is taken into account an efficient method of extracting the relevant information from databases. This method is employed for the pattern identification. Data mining could be a method that finds helpful patterns from great amount of knowledge. The paper discusses few of the information mining techniques, algorithms and a few of the organizations that have adapted data processing technology to enhance their businesses and located glorious results

Abstract: Most of the construction projects suffer from cost overruns due to a multiplicity of factors. The present work is carried out on studying significant factors causing cost overruns in construction projects. A questionnaire for the survey has been prepared by Authors based on 45 common factors for cost overruns identified from literature review and discussion with experts. These factors are related with Owner, Contractor, Consultant, and Management, Material, Equipment, Labor and External. The cost overrun methodology presented in this study gives statistical method which is used in construction sector for computing impact of project cost overruns. The finding of the paper will help the project manager to act on critical causes and further try to reduce cost overrun of project. Keywords: Construction projects, Factors of cost overrun, Relative important index

Abstract: Around the world, the use of the Internet and social media has increased exponentially, and they have become an integral part of daily life. It allows people to share their thoughts, feelings, and ideas with their loved ones through the Internet and social media. But with social networking sites becoming more popular, cyberbullying is on the rise. Using technology as a medium to bully someone is known as Cyberbullying. The Internet can be a source of abusive and harmful content and cause harm to others. Social networking sites provide a great medium for harassment, bullies, and youngsters who use these sites are vulnerable to attacks. Bullying can have long-term effects on adolescents’ ability to socialize and build lasting friendships Victims of cyberbullying often feel humiliated. social media users often can hide their identity, which helps misuse the available features. The use of offensive language has become one of the most popular issues on social networking. Text containing any form of abusive conduct that displays acts intended to hurt others is offensive…

Abstract: This Accurate Real-time object detection needs faster computation power to identify the object at that specific time. The accuracy of object detection has increased drastically with the advancement of deep learning techniques. We incorporate a stateof-the-art method for object detection to achieve high accuracy with real-time performance. The state-of-the-art methods are subdivided into two types. The first is one-stage methods that prioritize inference speed, and example models include YOLO, SSD, and RetinaNet. The second is two-stage methods that prioritize detection accuracy, and its example models include Faster R-CNN, Mask R-CNN, and Cascade R-CNN. Among all these, Faster-RCNN and SSD have better accuracy, while YOLO performs better when speed is given preference over accuracy. A major challenge in many of the object detection systems is that it is dependent on the other computer vision techniques for helping the deep learning-based approach, which results in slow and non-optimal performance. In this paper, we have used a deep learning-based approach to solve the…

Abstract: Covid-19 pandemic has made mobile applications very popular. There is a huge competition between many mobile application development frameworks available in the market. In today’s world ease of development is the thing all developers are seeing for and flutter has come with the required platform to support development of applications for both iOS and Android platforms, consequently decreasing the cost and complexity of application creation across both platforms. Flutter is the crossplatform mobile application development open-source SDK tool for developing high-performance and more reliable mobile applications for iOS and Android operating systems. This paper has been undertaken to indicate the benefits of using flutter over other app development platforms. Keywords: Cross-Platform Mobile Application, Flutter, Dart, GetX State Management, Firebase

Abstract: Cloud computing is something simple we can define as maintaining data centers and data servers and also u can access technology services by computing power, storage, and database using cloud computing technology AWS(Amazon Web Services). It is an emerged model which is already popular among almost all enterprises. It provides us the concept of ondemand services where we are using and scaling cloud resources on demand and as per demand respectively. AWS Cloud computing is a cost-effective model. The major concern in this model is Security and Storage in the cloud. This is one of the major reasons many enterprises of choosing AWS cloud computing. This paper provides a review of security research in the field of cloud security and storage services of the AWS cloud platform. After security and storage, we have presented the working of AWS (Amazon Web Service) cloud computing. AWS is the most trusted provider of cloud computing which not only provides excellent cloud security but also provides excellent cloud storage services. The main aim of this paper is to make cloud…

Abstract: In India, Agriculture contributes major role to Indian economy. For agriculture, Rainfall is important but during these days’ rainfall prediction has become a major challenging problem. Good prediction of rainfall provides knowledge and know in advance to take precautions and have better strategy about theirs crops. Global warming is also having severe effect on nature as well as mankind and it accelerates the change in climatic conditions. Because of its air is getting warmer and level of ocean is rising, leads to flood and cultivated field is changing into drought. Due to adverse climatic change leads to unseasonable and unreasonable amount of rainfall. To predict Rainfall is one of the best techniques to know about rainfall and climate. The main aim of this study revolves around providing correct climate description to the clients from various perspectives like agriculture, researchers, generation of power etc. to grasp the need of transformation in climate and its parameters like temperature, humidity, precipitation, wind speed that eventually directs to projection of…

Abstract: Machine learning has broad applications in the finance industry. Risk Analytics, Consumer Analytics, Fraud Detection, and Stock Market Predictions are some of the domains where machine learning methods can be implemented. Accurate prediction of stock market returns is extremely difficult due to volatility in the market. The main factor in predicting a stock market is a high level of accuracy and precision. With the introduction of artificial intelligence and high computational capacity, efficiency has increased. In the past few decades, the highly theoretical and speculative nature of the stock market has been examined by capturing and using repetitive patterns. Various machine learning algorithms like Multiple Linear Regression, Polynomial Regression, etc. are used here. The financial data contains factors like Date, Volume, Open, High, Low Close, and Adj Close prices. The models are evaluated using standard strategic indicators RMSE and R2 score. Lower values of these two indicators mean higher efficiency of the trained models. Various companies employ different types of…

Abstract: Humans use their facial expressions to communicate their emotions, which is a strong tool in communication. Facial expression identification is one of the most difficult and powerful challenges in social communication, as facial expressions are crucial in nonverbal communication. Facial Expression Recognition (FER) is just an important study topic in Artificial Intelligence, with numerous recent experiments employing Convolutional Neural Networks (CNNs). The emotions that have grown in the face image have a significant impact on judgments and debates on a variety of topics. Surprise, fear, disgust, anger, happiness, and sorrow are the six basic categories in which a person's emotional states can be categorized according to psychological theory. The automated identification of these emotions from facial photos can be useful in human-computer interaction and a variety of other situations. Deep neural networks, in particular, are capable of learning complicated characteristics and classifying the derived patterns. A deep learning-based framework for human emotion recognition…

Abstract: Agriculture Sector plays important role in economic sector. The artificial intelligence is main concern and the emerging subject all across world. And population increasing day by day and with the increasing demand employment and food is also increasing. Our traditional method which was used by the farmer were not sufficient enough to fulfill the requirements. Consequently, synthetic intelligence technique is added. This method supplied meals requirement and employment possibilities to many people. Artificial Intelligence in agriculture has added associate agriculture revolution. This generation has covered the crop yield from different factors like weather adjustments, populace increase, employment problems, and meals protection issues. This era includes crop yields caused by various factors such as climate change, population surge, employment issues, and food security issues. The main difficulty of the document is to verify the many artificial intelligence applications in agriculture, including irrigation, weeding and spraying integrated with sensors and other tools used…

Abstract: The artificial neural network is robust in predicting soil properties. The present study aims to determine the suitable hyperparameters such as number of hidden layers, neurons, and backpropagation algorithms for the best prediction of geotechnical properties of soil. The supervised learning category-based multilayer perceptron artificial neural network approach is used, and models are developed in MATLAB R2020a. The ANN models are configured with neurons (5, 10 & 15), hidden layers (one to five), and a backpropagation algorithm (LM, BFG, SCG, GDA, GD & GDA). Fifteen ANN models are developed for each algorithm. The study shows that the LM, BFG, and SCG algorithm-based ANN models require strongly (0.61-0.8) to very strongly (0.81-1) correlated datasets. On the other hand, the GDM, GD, and GDA algorithm-based ANN models require only strongly correlated datasets to achieve a performance of more than 0.9. In most cases, it is also found that the GDM, GD, and GDA algorithm-based ANN models achieve high performance with three hidden layers interconnected with ten neurons. Still,…

Abstract: Identification of tree species plays a key role in forestry related tasks like forest conservation, disease diagnosis and plant production. There had been a debate regarding the part of the tree to be used for differentiation, whether it should be leaves, fruits, flowers or bark. Studies have proven that bark is of utmost importance as it will be present despite seasonal variations and provides a characteristic identity to a tree by variations in the structure. In this paper, a deep learning based approach is presented by leveraging the method of computer vision to classify 50 tree species, on the basis of bark texture using the BarkVN-50 dataset. This is the maximum number of trees being considered for bark classification till now. A convolutional neural network(CNN), ResNet101 has been implemented using transfer-learning based technique of fine tuning to maximise the model performance. The model produced an overall accuracy of >94% during the evaluation. The performance validation has been done using K-Fold Cross Validation and by testing on unseen data collected from…

Abstract: Most educational institutions administrators are concerned about student irregular attendance. Truancies can affect student overall academic performance. The conventional method of taking attendance by calling names or signing on paper is very time consuming and insecure, hence inefficient. Radio Frequency Identification (RFID) based attendance system is one of the solutions to address this problem. This system can be used to take attendance for student in school, college, and university. It also can be used to take attendance for workers in working places. Its ability to uniquely identify each person based on their RFID tag type of ID card make the process of taking the attendance easier, faster and secure as compared to conventional method. Students or workers only need to place their ID card on the reader and their attendance will be taken immediately. With real time clock capability of the system, attendance taken will be more accurate since the time for the attendance taken will be recorded. The system can be connected to the computer through RS232 or Universal Serial…

Abstract: Alzheimer’s disease is the most common form of dementia affecting the brain’s parts. A broad term used to describe illnesses and conditions that causes a deterioration in memory, language, and other cognitive abilities severe enough to interface with daily life is “dementia”. According to estimates, this disease affects 6.2 million Americans and 5 million people in India aged 65and older. In 2019, the most recent year for which data are available, official death certificates reported 121,499 deaths from AD, making Alzheimer’s the “sixth leading cause of death in the country and the fifth leading cause of death for people 65 and older”. In this paper, we suggest several machine Learning algorithms like Decision trees, SVM, Logistic regression, and Naive Bayes identify AD at an early stage. The Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Open Access Series of Imaging Investigations (OASIS) provide data sets white used to detect the disease in its early stage. The datasets consist of longitudinal MRI data (age, gender, mini mental status, CDR) By taking into…

Abstract: Machine learning enables computers to act and make data driven decisions rather than being explicitly programmed to carry out a certain task. It is a tool and technology which can answer the question from your data. These programs are designed to learn and improve over time when exposed to new data. ML is a subset or a current application of AI. It is based on an idea that we should be able to give machines access to data and let them learn from themselves. ML deals with extraction of patterns from dataset, this means that machines can not only find the rules for optimal behavior but also can adapt to the changes in the world. Many of the algorithms involved have been known for decades. In this paper various algorithms of machine learning have been discussed. Machine learning algorithms are used for various purposes but we can say that once the machine learning algorithm studies how to manage data, it can do its work accordingly by itself. Keywords: Linear Regression, Logistic Regression, KNN, Naive Bayes, Decision Trees, SVM, Random Forest

Abstract: The speed of internet has increased dramatically with the introduction of 4G and 5G promises an even greater transmission rate with coverage outdoors and indoors in smart cities. This indicates that the introduction of 5G might result in replacing the Wi-Fi that is being currently used for applications such as geo-location using continuous radio coverage there by initiating the involvement of IoT in all devices that are used. The introduction of WiFi 6 is already underway for applicationsthat work with IoT, smart city applications will still require 5G to provide internet services using Big Data to reduce the requirement of mobile networks and additional private network infrastructure. However, as the network access begins to expand, it also introduces the risk of cyber security with the enhanced connectivity in the networking. Additional digital targets will be given to the cyber attackers and independent services will also be sharing access channel infrastructure between mobile and wireless network. In order to address these issues, we have introduced a random neural…

Abstract: Integrated renewable energy systems have numerous advantages and benefits compared to conventional energy systems, such as decentralized energy production, environmental impact reduction, and better energy security. Renewable energy systems can be classified under various categories: solar, wind, hydroelectric, biomass, geothermal, and ocean. The integration of these renewable energy resources can bring sustainable solutions and multiple products. The case studies signify the potential integration options of renewable energy systems including energy storage. Non-conventional renewable energy sources and systems (RESS) including but not limited to biomass, biogas, geothermal etc are increasingly playing an important role for electric power distribution and storage. The idea is to develop a resilient energy infrastructure minimizing the cost of remote power and support green and sustainable development efforts. Smart Grids use digital technologies and IOT solutions to intelligently react and adapt to changes in the Grid. Siemens Accelerator for Grids portfolio is the key to…

Abstract: Despite the presence of E-trade humans have a tendency to shop for many merchandise handiest in supermarkets and department stores for the sake in their personal satisfaction. Among the problems confronted through the clients one trouble is to observe queue thru the billing manner. Though their cause is simply to shop for one or merchandise, ready to invoice merchandise consumes time and additionally inconvenient in recent times as humans stay in a hectic environment. As in line with our survey cash and common time spent on every patron is excessive mainly in over-crowded supermarkets. The shopkeepers are geared up to welcome any clever machines that automate the billing manner to lessen manpower and time fed on for that manner. The most important goal is to fulfill the patron and additionally lessen the time spent at the billing manner that is to finish the billing manner with inside the trolley in place of ready in a queue even for one or merchandise. The clients need to upload the goods after a brief test in trolley and whilst finished the finalized quantity can be…

Abstract: People have experienced frequent communication and information exchange in recent years as a result of the proliferation of mobile devices. For example, when people go on vacations, it is common for each person to bring a smart phone with them to get information about nearby attractions. When a user visits a location, the application will provide useful information based on the user's current location preferences and previous visits to locations and their traffic signs. This new feature of map will learn your preferences and will display traffic signs in the area this system would display all traffic signs in and around the city including No Parking, Give Way, Speed Breakers ,Zebra Crossings ,Signals ,Tunnels, Sharp Curves, Speed ,No Overtaking Zones, Accidents Ponds, and Cycle Lanes. The use of popularity based filtering allows users to see all of the traffic signs in the area. Keywords: Traffic signs, Intelligent Transportation

Abstract: With the continuous evolve of E-commerce systems, online reviews are mainly considered as a crucial factor for building and maintaining a good reputation. Moreover, they have an effective role in the decision making process for end users. Usually, a positive review for a target object attracts more customers and lead to high increase in sales. Nowadays, deceptive or fake reviews are deliberately written to build virtual reputation and attracting potential customers. Thus, identifying fake reviews is a vivid and ongoing research area. Identifying fake reviews depends not only on the key features of the reviews but also on the behaviours of the reviewers. This paper proposes a machine learning approach to identify fake reviews. In addition to the features extraction process of the reviews, this paper applies several features engineering to extract various behaviours of the reviewers. The paper compares the performance of several experiments done on a real Yelp dataset of restaurants reviews, we compare the performance of machine learning classifiers; KNN, Naive Bayes (NB),…

Abstract: Blockchain: Industry 4.0 involves innovations with upcoming digital technologies, and blockchain is one of them. Blockchain can be incorporated to improve security, privacy, and data transparency both for small and large enterprises. Industry 4.0 is a synthesis of the new production methods that allow manufacturers to achieve their target more rapidly. Research has been conducted on various Industry 4.0 technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big data, and Blockchain, and how they could create significant interruptions in recent years. These technologies provide various possibilities in the world of manufacturing and supply chain. Blockchain is a technology that has gained much recognition and can enhance the manufacturing and supply chain environment. Various fields now have fascinating insights into the advantages of blockchain. Several research articles on “Blockchain” and “Industry 4.0” from Google Scholar, Scopus, and other relevant sources are identified and reviewed for this study. This paper discusses the major potential of…

Abstract: Security is one of the major challenges faced by individuals, organizations, and the world at large. The evolution of technology assists in solving this menace of insecurity and with the continuous growth in technology; several techniques have been used in tackling this problem of insecurity, starting from traditional systems like the door locks with handles to automated doors. In recent times, most of these doors lock security systems are based on microcontrollers, GSM, GPS, sensors, biometrics like eye scanner, fingerprint, face recognition, password, etc., and each of these techniques has its advantages and disadvantages. The developed system involves the design of a prototype door access control system that will control the access of personnel to a location/office using voice recognition and Radio Frequency Identification (RFID) authentication techniques. The system at first detects the movement of a person and prompts the person for verification. If verified either by voice or by RFID, the door automatically opens and closes after 5 seconds. The aim of this developed…

Abstract: The purpose of this research is to investigate the function of leadership in organizational change. A leader acts as a change agent who can effectively manage organizational processes. To comprehend, accept, and execute changes in their business model, firms must continually assess and reevaluate current technological breakthroughs and client expectations. Organizations must now better comprehend the importance of change and prepare themselves to accept not just current but also future trends in order to achieve long-term success. According to many studies, 70 percent of organizational transformation fails to achieve its goals due to inadequate leadership style, despite the fact that leaders play a critical role in a company. As a result, the process of change need effective and highly qualified leadership capable of identifying the most desirable features and addressing challenges in the most suitable manner. According to the examination of literature and the outcomes of real-life case studies studied for this research paper, a leader with the competences "Visionary,"…

Abstract: Oyster Mushroom has many nutritional effect, medicinal use and used as a functional food. It contains low calorie, high protein, dietary fibre, vitamins and minerals. It is very promising in its agribusiness trend, but has a constraint low shelf life. Mushroom value chain classified into input suppliers, producers prepared with mushroom like soup powder, pickles, chips, paste, ketchup, noodles, pasta, biscuits, traders, processors and consumers. In India value addition in mushroom represents approximately 7% which is lower than some developing countries. Many novel value-added products can be prepared with mushroom like powder, pickles, chips, ketchup, noodles, pasta, biscuits. The shelf life of mushroom can be extended by the preserving in the form of pickle. The main aim of the present study is the sensory analysis and storability of mushroom pickle by applying different technology. The product has been evaluated for sensory attributes like colour, aroma, taste, texture and overall acceptability. The growth of fungus and changes in appearance at different storage period…

Abstract: Kidney stones are a prevalent disease all over the world, resulting in many of us being rushed to the hospital in excruciating pain. Calculus illness is diagnosed using a variety of imaging modalities. For the interpretation and thorough diagnosis of the photos, specialists are required. Computer-aided diagnosis systems are practical ways that can be utilized as supplemental tools to aid clinicians in their diagnosis. During this project, the deep learning (DL) technique was used to propose an automatic diagnosis of kidney stones using coronal X-ray (CT) pictures, which has made a great advances in the field of AI. Keywords: Kidney stone, medical image, Deep learning, Computed tomography

Abstract: Cardiovascular Disease forecast is treated as most confounded task in the field of medical sciences. Along these lines there emerges a need to build up a choice emotionally supportive network for identifying heart problems of a patient. In this paper, we propose effective hereditary calculation half breed with machine learning approach for heart disease expectation. Today clinical field have made considerable progress to treat patients with different sort of infections. To accomplish a right and practical treatment and emotionally supportive networks can be created to settle on great choice. Numerous emergency clinics use clinic data frameworks to deal with their medical services or patient information. These frameworks produce gigantic measures of information as pictures, text, outlines and numbers. Tragically, this information is seldom used to help the medical growth. There is a greater part of concealed data in this information that isn’t yet investigated which offer ascent to a significant inquiry of how to make valuable data out of the information. So there is need…

Abstract: Service Science is that the basis of knowledge system and net services that judge to the provider/client model. This paper developments a technique which will be utilized in the event of net services like websites, net applications and eCommerce. The goal is to development a technique that may add structure to a extremely unstructured drawback to help within the development and success of net services. The new methodology projected are going to be referred to as {the net|the online|the net} Development Life Cycle (WDLC) and tailored from existing methodologies and applied to the context of web development. This paper can define well the projected phases of the WDLC. Keywords: Web Development, Application Development, Technologies, eCommerce.

Abstract: The present era is completely dependent on Internet which serves as a global information source for all users. Therefore the availability of internet is very important. Distributed denial-of-service is one kind of the most highlighted and most important attacks of today’s cyber world. This paper mainly focuses on the DDoS attack which obstruct the network availability by overflowing the victim with high volume of illegal traffic usurping its bandwidth, overburdening it to prevent valid traffic to get through. We have also described the various types of DoS attack techniques that are inflicted upon the ISPs. The study of this research is to find out the various techniques to prevent these attacks along with their mitigation techniques and to find out any possible solution.

Abstract: Bigdata is a potential instrument to transform traditional governance into smart governance. There are a long debate and discussion on the application of big data for the transformation of traditional public administration to modern and smart public administration in the academician, researchers, and policymakers. This study aims to explore the suitability and applicability of big data for smart governance of public agencies. A systematic review of literature and metaanalysis method is employed with various levels of scales and indicators. Literature survey shows that a number of models have been developed to explain smart governance but systematic research on the suitability and applicability of big data for smart governance of public agencies is still lacking. This article argues that the application of big data for smart governance in the public sector can increase the efficiency of the public agencies fastest public service delivery, enhancing transparency, reducing public hassle and helping to the become a smart agency. This paper further argues that implementation of…

Abstract: Water reuse generally refers to the process of using treated wastewater (reclaimed water) for beneficial purposes such as agricultural and landscape irrigation, industrial processes, nonpotable urban applications (such as toilet flushing, street washing, and fire protection), groundwater recharge, recreation, and direct or undirected water supply. Its increased application has been facilitated by modern wastewater treatment processes that have advanced substantially during the twentieth century. Water Reuse is a reality at international. Several practices have emerged around the world as results of different needs, perspectives and policies. Accelerating development occurred in the past 15 years, especially in the application field of potable reuse. Technologies and treatment flowsheets have been studied and validated, demonstrating advanced water quality, safety and suitability for potable reuse applications. Reuse of wastewater after its treatment may be a good alternative for regions, which suffer from lack of pure water or have limited access to water resources.…

Abstract: The PC mouse is one of the wondrous developments of people in the field of Human-Computer Interaction (HCI) innovation. In new age of innovation, remote mouse or a contact less mouse actually utilizes gadgets and isn't liberated from gadgets completely, since it utilizes power from the gadget or might be from outside power sources like battery and gain space and electric power, likewise during COVID pandemic it is encouraged to make social separating and keep away from to contact things which gave by various people groups. Inside the projected AI virtual mouse utilizing hand signal framework, this constraint might be resolve by involving advanced camera or sacred camera for perceive the hand motions and fingers recognition abuse PC machine vision. The algorithmic rule used in the framework utilizes the man-made consciousness and AI algorithmic rule. Upheld the hand signals, the gadget might be controlled pretty much and might do left click, right snap, looking over capacities, and PC gadget pointer perform while not the utilization of the genuine mouse. Index Terms: deep…

Abstract: A car price prediction has been a high-interest research area, as it needed recognizable effort and knowledge of the field expert. This paper mainly focuses on working of three different kind regression algorithms which are used to predict price of a used car. In this project, We have Considered number of distinct attributes which are examined for the reliable and accurate prediction. To build a model for predicting the price of used cars we have used three different kinds of machine learning techniques which comes under supervised machine learning type of algorithm which are linear regression, lasso regression and ridge regression respectively. we have used Python libraries to design GUI for our project and some other machine learning related libraries like Numpy, Pandas, Sklearn etc. we have calculated and compared the accuracies of three machine learning algorithms. The accuracies for linear regression, lasso and Ridge regression were 83.65%, 87.09% and 84.00% respectively. The final main price is predicted according to lasso regression as it gives highest accuracy…

Abstract: Building, creating, and maintaining websites is known as web development. Abandoning the traditional method of web development (HTML, CSS, JavaScript), MERN stack includes four key technologies namely: MongoDB, Express.JS, React.JS and Node.JS. Clearly, it is a JavaScript Stack and it allows smooth development and faster deployment. The main contribution of this work lies in the deep understanding of each technology component on the stack. Keywords: ReactJS, NodeJS, MongoDB, ExpressJS, MERN

Abstract: Electrified transportation will contribute to the reduction of greenhouse gas emissions and the stabilization of gasoline costs. To promote the adoption of electrified transportation, a diverse network of charging stations must be established in a userfriendly environment. Wireless electric vehicle charging systems (WEVCS) have the potential to be a viable alternative technology for charging electric cars (EVs) that do not need a plug. This article discusses the present state of wireless power transfer technologies for electric vehicles. Additionally, it contains wireless transformer constructions that have been studied using a range of ferrite forms. WEVCS are linked with health and safety concerns, which have been addressed in recent international standard development. Two main applications, static and dynamic WEVCS, are discussed, and current development is documented using features from research labs, universities, and industry. Additionally, future concepts-based WEVCS are evaluated and studied, including "vehicle-to-grid (V2G)" and "in-wheel" wireless charging…

Abstract: Virtual things are superimposed over the real-world surroundings in Augmented Reality. Educators understand that learning is enhanced not only by reading and hearing but also by creating and participating. Our suggested idea attempts to use Augmented Reality to improve the current educational system. Present working on an app that will display educational information in the form of animations, movies, and 3D models. This initiative has the potential to improve student learning, creativity, and retention. Our application will also encourage pupils' intellectual curiosity, making them smarter. We want to disrupt the traditional educational model and create a new path to a smart classroom.

Abstract: Artificial intelligence (A.I.) is a multidisciplinary field aimed at automating tasks that currently need human intelligence. Despite its lack of general familiarity, artificial intelligence (AI) is a technology that is revolutionizing every aspect of life. This article aims to educate laypeople about AI and encourage them to utilize it as a tool in many disciplines to rethink how we combine data, analyze it, and make choices. We quickly covered what artificial intelligence (AI) is, how it works, and how it may be applied in our daily lives in this article.

Abstract: Breast cancer is one ofi the diseases which cause number ofi deaths ever year across the globe, early detection and diagnosis ofi such type ofi disease is a challenging task ini orderi to reduce the numberi ofi deaths. Now a days various techniques ofi machinei learning and data miningi are used for medical diagnosis which has proven there metal by which prediction can be done for the chronic diseases like canceri which can save the life’s ofi the patients suffering from such type ofi disease. The major concern ofi this study is to findi the prediction accuracy ofi the classification algorithms like Support Vector Machine, J48, Naïve Bayes and Randomi Forest and to suggest the best algorithm.

Abstract: Deaf and hard-of-hearing persons, as well as others who are unable to communicate verbally, utilise sign language to communicate within their communities and with others. Sign languages are a set of preset languages that communicate information using a visual-manual modality. The dilemma of real-time finger-spelling recognition in Sign Language is discussed. We gathered a dataset for identifying 36 distinct gestures (alphabets and numerals) and a dataset for typical hand gestures in ISL created from scratch using webcam images. The system accepts a hand gesture as input and displays the identified character on the monitor screen in real time. This project falls under the category of human-computer interaction (HCI) and tries to recognise multiple alphabets (a-z), digits (0-9) and several typical ISL hand gestures. To apply Transfer learning to the problem, we used a Pre-Trained SSD Mobile net V2 architecture trained on our own dataset. In the vast majority of situations, we constructed a robust model that consistently classifies Sign language. Many studies have been done…

Abstract: For the transportation sector, vehicle electrification is a game changer due to major energy and environmental implications driven by high vehicle efficiency i.e. EVs are approximately 3–4 times more efficient than comparable internal combustion engines vehicles (ICEV), zero tailpipe emissions, and reduced petroleum dependency as great fuel diversity and flexibility exist in electricity production. Far-reaching implications for vehicle grid integration extend to the electricity sector and to the broader energy system. The Indian Government is also planning to increase the electric vehicle in the automobile industries. In this paper the future and challenges of the electric vehicles in Indian market is discussed. The different factors like economic, social, technical and environmental which are affecting the electric vehicles market in India are discussed in this paper. The battery and infrastructure development are related to economic and technological factors. Based on the challenges, recommendations are made and it also helps to promote the market growth of electric…

Abstract: Sesame seeds commonly known as gingelly seeds or til is one of the oldest oilseed cultivated all over the world with India and China being the largest producers. Both black and white sesame seeds are abundant in not only macro or micronutrients but also contain plethora of bioactive components such as lignans and phytosterols contributing to it being a good source of antioxidants. Presence of sesamin, sesaminol, myristic acid and lecithin in sesame seeds attributes to its antiinflammatory, anti-hypertensive, anti-hyperglycemic, anti-hyperlipidemic and anti-cancer properties. Sesame oil is also known for its anti-microbial activity. Sesame is also an important crop mentioned in Ayurveda and is used in shirodhara, a body relaxing technique. Its oil is also used as skin softener and is utilized in the treatment of cracked heels. Seasame oil can also be substituted with regular oil and its seeds are used as garnishes in breads, biscuits and crackers. Til chikki and laddo’s are also prepared in Indian households. Though it is widely used, consumption of even two sesame seeds…

Abstract: MERN stack is one of the well known web stack that has acquired significance over other stack. This is a direct result of its UI delivering and execution, Cost-Adequacy, Open Source and is not difficult to switch among customer and server. Its essential target is to improve the general exhibition of the application. This stack, as well as utilizing superior execution and tweaked advances, considers web applications and programming to be grown rapidly. MERN stack is an assortment of strong and amazing innovations used to foster adaptable expert web applications, containing front-end, back-end, and data set parts. It is an innovation stack that is an easy to understand full-stack JavaScript structure for building dynamic sites and applications. This is the explanation it is the most favored stage by new businesses. This paper will depict MERN Stack involving 4 advancements to be specific: Mongo DB, Express, Respond and Node.js. Every one of these 4 incredible advancements gives a start to finish system for the designers to work in and every one of these advances have a major…

Abstract: It is vital that credit card companies are able to identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Such problems can be tackled with Data Science and its importance, along with Machine Learning, cannot be overstated. This project intends to illustrate the modelling of a data set using machine learning with Credit Card Fraud Detection. The Credit Card Fraud Detection Problem includes modelling past credit card transactions with the data of the ones that turned out to be fraud. This model is then used to recognize whether a new transaction is fraudulent or not. Our objective here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications. Credit Card Fraud Detection is a typical sample of classification. In this process, we have focused on analysing and pre-processing data sets as well as the deployment of multiple anomaly detection algorithms such as Local Outlier Factor and Isolation Forest algorithm on the PCA transformed Credit Card Transaction data.

Abstract: A fresh and creative approach to finance various business models is through crowdfunding, which enables individual business founders to submit fundraising requests. Businesses may be enlightening or commercial. Capitals are frequently given away in exchange for future goods or deeds. This entails connecting investors and businesspeople using social media on the internet in exchange for incentives to raise capital for various company models. Social networks and the Internet are becoming emerging platforms. The internet and social media are crucial for charitable organisations like dealers to raise money. After giving a general summary of the various crowdfunding platforms that have lately surfaced, this article first examines the role that technology plays in crowdfunding. Crowdfunding is based on assurance between investors and stakeholders. The appearance of new technologies is very promising for both organizations and discrete crowdfunding. Crowdfunding stand using blockchain technology increase the credibility of diverse projects and businesses, and attract huge amounts…

Abstract: Sewer monitoring is an important aspect of maintaining cleanliness around us. Lack of sewage monitoring systems may lead to blockage of the drainage. These blockages in sewers may lead to sewer flooding and pollution. Sometimes, workers may meet with accidents as they might not be aware of the condition inside the manhole. This paper aims to measure and analyze the real time levels of sewage. In order to ensure safety of the workers working under some severe conditions. This project attempts to devise an IOT technology that shall detect the level of sewage in the tunnel while keeping track of flow rate of it. If the level exceeds beyond threshold, it shall send an alert through the blynk web app. Additionally provide the information about the flow through the blynk web app itself. To obtain the desired output ultrasonic sensor, flow sensor, nodemcu esp8266, Arduino Uno and blynk web app are used in the proposed model.

Abstract: Skin cancer is one of the most popular types of cancer, which inspires the life of millions of people every year in the entire world. Melanoma is one of the forms of cancer that initiates in melanocytes and it can influence the skin only. It’s more serious as compare with other types of skin cancer. The Melanoma can be of benign or malignant. The paper focused on detection system has been designed for diagnosing melanoma in early stages by using digital image processing techniques. The paper has many steps like preprocessing, segmentation, feature extraction and detection process which give the acceptable results for skin cancer detection problems. In today’s modern world, Skin cancer is the most common cause of death amongst humans. Skin cancer is abnormal growth of skin cells most often develops on body exposed to the sunlight, but can occur anywhere on the body. Most of the skin cancers are curable at early stages. So an early and fast detection of skin cancer can save the patient’s life. With the new technology, early detection of skin cancer is possible at initial…

Abstract: The Weather Monitoring System using the IoT is one such application of IoT that has paved the way for organizations to create new and efficient solutions. Because of the rapidly changing climate, the weather forecast is uncertain and inaccurate these days. The IoT based Weather Monitoring system features to monitor temperature and humidity level, Barometric pressure, light intensity, air quality and rainfall. The required hardware includes Raspberry Pi, Arduino Mega, DHT11, Light intensity sensor BH1750, MQ-135, BME-280, and raindrop sensor.. All the above sensors are used to measure the given parameters. Arduino IDE and Node-RED software is used for programming and connecting hardware devices and online services. All sensors and hardware components are connected and built with Raspberry pi and Arduino. The arduino board is programmed with necessary code through Arduino IDE. The output of the arduino is stored in the local database using the influxdb. A Web Application dashboard is developed using HTML, CSS and JavaScript. The web application collects data from the…

Abstract: In today’s classroom delivering education and providing crystal clear explanation is very difficult some concepts student feel difficult to understand because of no virtual experience that how exactly things work which they are studying . Textbooks are the major source of getting knowledge for students but the only problem in textbooks are 2D diagram present in the book , for students it is very difficult to understand the working of any diagram for example human heart that how exactly it looks and function because of no virtual experience. To solve this issue a concept called augmented reality for education system came into the picture. Augmented Reality creates wondaful opportunities for college teachers and even for student also to grasp the abstract concepts. With the help of interaction and experimentation that Augmented Reality technologies offers , faculties can enhance offline experience in the classroom, teach new development skills, enhance students minds develop interest in students minds for studies . As of know the most popular application for augmented…

Abstract: Freshwater is a critical resource for agriculture and industry's survival. Examination of water quality is a fundamental stage in the administration of freshwater assets. As indicated by the World Health Organization's yearly report, many individuals are getting sick or some are dead due to the lack of safe drinking water, especially pregnant ladies and kids. It is critical to test the quality of water prior to involving it for any reason, whether it is for animal watering, chemical spraying(Pesticides etc), or drinking water. Water quality testing is a strategy for finding clean drinking water. Accordingly, appropriate water monitoring is basic for safe, clean, and sterile water. Water testing is fundamental for looking at the legitimate working of water sources, testing the safety of drinking water, identifying disease outbreaks, and approving methodology and safeguard activities. Water quality is a proportion of a water’s readiness for a specific utilize in view of physical, chemical, and biological qualities.

Abstract: Stock market is very uncertain and highly volatile as the prices of stocks keep fluctuating due to several factors that make prediction of stocks a very difficult and complicated task. In the finance and trading world stock analysis and trading is a method for investors and traders to make buying and selling decisions. Investors and traders try to gain an edge in the markets by taking informed decisions by studying and evaluating past and current data. Stock market prediction has always been an important research topic in the financial and trading field [2]. Prediction of stock market is the act of trying to determine the future value of a company stock (nifty & sensex) or other financial instrument traded on an exchange. Our project explains the prediction of a stock using Machine Learning, which itself employs different models to make prediction easier and authentic. The paper focuses on the use of Recurrent Neural Networks (RNN) called Long Short Term Memory (LSTM) to predict stock values. This will help us provide more accurate results when compared to existing stock…

Abstract: Credit card fraud processing is presently the most frequently arising problem in the present world. This is due to the rise in both online transaction and ecommerce platforms. To detect these fraudulent activities the credit card fraud detection system was introduced, this project main aim is to focus on the machine learning algorithms. The voting based classification algorithm approach is applied for credit card fraud detection. We use different types of classification algorithms such as SVM, Naïve bayes and Random forest. We consider their results based on confusion matrix for the above classification algorithms. We analyze their performance based on accuracy, precision, recall and f1-score. We compare random forest algorithm with other algorithm. We considered random forest algorithm has greatest accuracy, precision, recall and F1-score, considered as the best algorithm that is used to detect the fraud. Keywords: Fraud detection, Naive Bayes, SVM, and Random Forest.

Abstract: If we see current scenario mobile users are rapidly increasing in a very large scale. Better performance and good visuals are needed while developing any mobile applications. In the current mobile market, there are various operating system which are supported by many mobile devices. . Since these platforms have different SDKs and tools for developing mobile applications, SDK tools will include a range of things, including libraries, documentation, code samples, processes, and different guides that developers can use and integrate/combined into their own apps. Cross platform development offers the flexibility for building applications using universal language like Javascript which can then be exported to numerous smartphone platforms. Firebase is a platform for mobile and web application with tools and infrastructure which allows developers to build high quality applications. Firebase consists of features that developers can use together to meet their needs. Earlier Firebase was used as a real-time database, which provides developers an API to sync and store data across…

Abstract: Postman is one of the greatest API automation and documentation tools available today. Postman began as a simple Chrome browser plugin and has now grown to be a full API testing solution used by 5 million developers and over 100,000 enterprises all over the world. With a $2 billion value, it's a unicorn in its own right, and it's become the go-to platform for creating enterprise APIs. As the API economy continues to growing, more challenges are created for developers. The old methods of manually creating and testing APIs no longtime scale as today’s software and services can interface with hundreds of APIs within a single application. Development, testing, and delivery teams must work together to make sure that applications work barrier with APIs to provide a business advantage, rather than cause a business obstacle. Collaboration and operational efficiency are the keys to sharing modern API- powered applications. And this is the space that Postman plays in. In one of our GlobalLogic projects related to a Banking as well as Financial Services Customer Communications…

Abstract: Credit card fraud has existed ever since credit cards were introduced, resulting in financial losses, identity theft, severe security threatas, and misuse of personal information. Such a situation already dire at an individual level only worsens when an organization gets involved. With the COVID-19 pandemic taking over the world and the introduction of quarantine, online transactions have surged exponentially. Naturally, credit cards have become one of the main means to process these transactions. With an extraordinary number of people making transactions every second, it becomes difficult to keep track of fraudulent ones. An increase in online transactions also increases the risk of cybercrimes, in this case, fraudulent transactions. In this paper, we proposed a fast yet light system to detect fraudulent transactions in the IEEE-CIS dataset. We used feature engineering and data mining techniques to analyze the dataset and make it usable for the model. Then, we fit the dataset to LightGBM and XGBoost to classify the transactions as fraud or non-fraud. Finally, we compared…

Abstract: Worldwide, development on the batteries used in electric vehicles is making significant strides in solving the problems of carbon emissions and climate change issues. The efficiency of electric vehicles depends on accurate testing of key parameters and proper operation and functionality of battery management system. On the other hand, inadequate battery energy storage system monitoring and safety measures can lead to serious problems such as battery overheating, overcharging, cell unbalancing, thermal management, and fire threats. An efficient battery management system, which includes chargingdischarging control, precise monitoring, temperature management, battery safety, and protection, is essential for enhancing battery performance in order to alleviate these worries. This study aims to give a comprehensive analysis of different intelligent techniques and control strategies for the battery management system in electric vehicle applications. The evaluation evaluates battery state estimate intelligent algorithms in terms of their features, structure, configuration,…

Abstract—A lot of factors that affect the overall price of airline tickets, including the airline, the date of travel, source, destination, route, duration, and so on. Each provider seems to have its own unique set regulations and methods for determining pricing. Recent breakthroughs in Artificial Intelligence (AI) and Machine Learning (ML) allow for the inference of such principles as well as the modelling of price volatility. This article is a study conducted on predicting flight prices. Utilizing two datasets for testing and training, this study analyses various machine learning methods for predicting flight prices. Keywords—artificial Intelligence, machine learning, air price, prediction model, dataset

Abstract: According to recent survey 64.15% of fatalities are due to natural calamities which includes landslide as the major problem. Studies show that due time consuming and unreliable prediction system there is increase in rate of fatalities due to landslide. Only way to reduce these severe effects is predicting landslide efficiently and accurately without consuming much time. Most of the papers surveyed use sensor technology, and the most commonly used one is WSN (Wireless Sensor Network) since this sensor network provides large scale monitoring. If the chance of occurrence of landslide is high after the prediction an alert is sent to the disaster management department. Each of these methods have different percentage of accuracy. This survey paper discusses various approaches for detecting and predicting landslide thereby reducing fatalities. Keywords: Gyro sensor, Soil sensor, NodeMCU, Aurdino IDE, Blynk.

Abstract: Cancer is one of the most prominent cause of fatalities around the world, accounting over 1 crore deaths in past year out of which 22.6% deaths were due to Breast cancer (BC). BC is the most common type of cancer among women, it accounts for 14.7 % of cancer cases in India. Multiple pieces of research have been conducted over the early detection of BC that can help begin treatment on time thus decreasing the mortality rate. Out of the total diagnosed, only about 86% are diagnosed correctly. Biopsy images of cells have a risk of false detection which may endanger the life of a person. There is a dire need of discovering new alternative methods that have an easy implementation with different data sets, are cost-effective, reliable, and safer, that can give an accurate prediction. This paper proposes a model combined with several Machine Learning algorithms(ML) that are Decision Trees, Artificial Neural Network, K-Nearest Neighbour, Support Vector Machine for an effective and accurate breast cancer diagnosis. Index Terms - Breast Cancer; Breast Cancer Detection; Machine…

Abstract: In this review paper we have done extensive reading of various research paper on Text Detection and Recognition from images by different authors of around the world. Each research paper deploys different algorithms and strategies for text detection and text recognition of image. At last, we have compared the Accuracy as well as Precision and Recall Rate of the various methods used in different research paper. Keywords: Accuracy, Precision, recall rate, Digit recognition.

Abstract: The primary goal of trending technology artificial intelligence (AI) is to realize natural human-machine dialogue. Various IT-based companies also utilized dialogue networks technology to create various types of Virtual Personal Assistants focused on their products and areas for expanding human-machine contact, such as Alexa, Cortana, Google's Assistant, Siri and so more. Just like the Microsoft voice assistant named 'Cortana', we designed our virtual assistant which performs basic tasks based on the instruction provided to it on the Windows platform using Python. Here, Python is used as a scripting language as it has a large library that is used to perform instructions. Using Python packages, a personalized virtual assistant recognizes and processes the user's voice. Voice assistants are a fantastic advancement in the sector of Artificial Intelligence that can transform people's lives in a variety of ways. The voice-based assistant was initially given on cellphones and quickly gained popularity. It was widely acknowledged by all. Previously, voice assistants were largely…

Abstract: Now a day there is a many more harmful cosmetic products are available in market. For overcome these problem these present research gives information about the herbal lipstick.it includes the evolutionary properties, advantages& characteristics of herbal lipstick. We formulate here herbal lipstick having minimal side effects or no side effects, these preparation using herbal ingredients. We have formulated the formulation by using ingredients such as liquid para fine, wax, oil, lanoline, methyl paraffin, TiO2, Hard wax and Vaseline and main extract used are cinnamon, pomegranate, papaya, alovera, onion, turmeric, sandalwood, neem. Role of cinnamon in lipstick is to give a more polished and plumping effect. Pomegranate plays an important role in it can nourish and moisturize lips as well as help restore give a natural looking pink color. Keywords: Cosmetic product, Herbal, beauty, pomegranate, papaya, Lipstick

Abstract: It’s a known fact that estimated number of blind persons in the world is about 285 million, approximately equal to the 20% of the Indian Population. They are mostly dependent on someone for even accessing their basic daily needs. In our project, we used TensorFlow, it's a new library from Google. TensorFlow model our neural networks. The TensorFlow Object Detection API is used to detect many objects. We have Introduce an algorithm (SSD). SSD uses a similar phase while training, to match the appropriate anchor box with the bounding boxes of each ground truth object within an image. Essentially, the anchor box with the highest degree of flap with an object is responsible for predicting that object's class and its location. It has microcontroller which has wi-fi inbuilt module. This guide is convenient and offers data to the client to move around in new condition, regardless of whether indoor or open air, through an ease to use interface. Then again, and so as to lessen route challenges of the visually impaired, a deterrent location framework utilizing ultrasounds is added to…

Abstract: In this modern world, we all are attracted to learning various technologies. So in this paper, we work and find out such top technology which used in the corporate world. So you will be familiar with the flow of these modern web technologies. Keywords: Back-End, Database, Digital Marketing, Domain and Hosting, Front-End, Full-Stack Development, Git and Github, Google Analytics, Heroku, Linux, MERN stack, Netlify, VPS, etc.

Abstract: Face recognition systems are used in practically every industry in this digital age. One of the most widely utilized biometrics is face recognition. It can be used for security, authentication, and identity, among other things. Despite its low accuracy relative to iris and fingerprint identification, it is extensively utilized because it is a contactless and non-invasive technique. Face recognition systems can also be used to track attendance in schools, colleges, and companies. Because the existing manual attendance system is time consuming and difficult to maintain, this system intends to create a class attendance system that employs the concept of face recognition. There’s also the possibility of proxy attendance. As a result, the demand for this system grows. Database development, face detection, face recognition, and attendance updating are the four steps of this system. The photos of the kids in class are used to generate the database. Faces are discovered and recognized from the classroom's live streaming footage. At the end of the session, the attendance will be…

Abstract: Today’s technology has been evolved into stand-alone systems which can do all necessary processes by themselves without any additional hardware. Advance microcontrollers have become microcomputers that are also known as single board computers. These systems take their power from powerful microcontrollers. These microcontrollers have many integrated circuits on board so they can achieve many different processes by themselves. They are being used in many applications from powerful industrial devices to simple home appliances. In today’s market, there are many different microcontrollers with different structure and capabilities. Therefore, understanding the concepts related to the microcontrollers is really important for choosing the best hardware. This paper presents the main concepts of microcontrollers and reveals the basis of their structure. Their components and abilities have been discussed and a comparison of well-known single board computers has been given. Keywords: Microcontrollers, Integrated Circuits, Arduino UNO, Raspberry PI, BeagleBone Black, ESP8266.

Abstract: Papaya (Carica papaya) is a tropical fruit having commercial importance because of its high nutritive and medicinal value. Papaya seeds are traditionally used by human beings from centuries to heal many illnesses. Papaya seeds contains antioxidants and antimicrobial virtues which gives protection against harmful free radicals and reduce rate of cancer and heart disease. Papaya seeds contain a variety of essential macro and micronutrients. The papaya seeds contain large amounts of nutrients, including fibre which is effective for combating constipation and other digestive problems. Seeds can be used to treat health complications such as urinary tract infection, candidiasis and sepsis. Papaya seeds are sometimes used in salads and can even be used as a substitute for black pepper. Products developed from papaya seeds are considered to be nutritionally rich with diverse sources of all nutrients. Papaya seeds have the potential to produce oil with nutritional and functional properties highly similar to olive oil. The papaya seed, and products may be useful for bio-fuel,…

Abstract: Because of its accessibility and ease of use, cloud storage has become the most widely used type of storage on the market in recent years. However, the privacy and data security of cloud storage are at risk. The protection of data security and privacy is the main topic of this essay. We suggest a blockchain-based decentralised storage system. Since blockchain is a distributed peer-to-peer system, any processing node connected to the internet can join and build peers' networks, maximising resource usage. Blockchain protects data security. The user's file is encrypted and shared among a number of network peers in the proposed system utilising the IPFS (Interplanetary File System) protocol. Hashes are generated by IPFS. The path of the file is indicated by the hash value, which is kept on the blockchain. This project is focused on decentralised secure data storage, high data availability, and effective storage resource usage.

Abstract: People are not paying attention to the quality of food they eat in our fast-paced and hectic world. They frequently ignore their eating routines and behaviours. Fast-food consumption is frighteningly increasing, which has resulted in the consumption of harmful foods. This causes a variety of health problems, including obesity, diabetes, and an increase in blood pressure, and so forth. As a result, it has become critical for people to have a well-balanced nutritionally sound diet. There are several applications that are thriving to assist folks in gaining control of their food and therefore can help individuals lose weight or maintain their fitness and health. The study article proposes healthy eating habits and patterns so that anybody may know the number of calories expended, macronutrient intake, and so on using data mining technologies. This technology is designed to uncover hidden patterns and client eating habits from various data sources. This approach will aid in tracking and improving an individual's health as well as the types of food that they should avoid in…

Abstract: Malicious software is a kind of software or codes which took some: private data, information from the PC framework, its tasks is to do only malicious objectives to the PC framework, without authorization of the PC clients. The effect of malicious software are worsen to the client. Malicious software i.e malwares are programs that are made to mischief, hinder or harm PCs, organizations and different assets related with it. Malwares are moved in PCs without the information on its proprietor. Presently malicious program is a serious threat. It is created to harm the PC framework and some of them are spread over the associated framework in the organization or web association. Analysts are making great efforts in malware framework field with compelling malware detection techniques to safeguard PC framework. Two essential methodologies have been proposed for it for example signature-based and heuristic-based detection. These methodologies distinguish known malware precisely yet can't distinguish the new, obscure malware. Recently various analysts have proposed malware…

Abstract: Expanded polystyrene (EPS) geofoam is a lightweight material that has been used in engineering applications since at least the 1950s. Its density is about a hundredth of that of soil. It has good thermal insulation properties with stiffness and compression strength comparable to medium clay. It is utilized in reducing settlement below embankments, sound and vibration damping, reducing lateral pressure on sub-structures, reducing stresses on rigid buried conduits and related applications. Expanded polystyrene waste in a granular form is used as lightweight aggregate to produce lightweight structural concrete with the unit weight varying from 1200 to 2000 kg/m³. The polystyrene aggregate concrete was produced by partially replacing coarse aggregate in the reference (normal weight) concrete mixtures with equal volume of the chemically coated crushed polystyrene granules. This paper reports the results of an experimental investigation into the engineering properties, such as compressive strength, modulus of elasticity, drying shrinkage and creep, of polystyrene aggregate…

Abstract: There is a large number of diversity in Web 3.0 technologies accessible for incorporation in the educational environment, but recognize how to use these and can be fascinating to the instructor. Web 3.0 is also known as technologically advanced medium which enables the user to Read/Write/Execute and also enables the machines to carry out some of the thinking so that it can be accessible for the human beings. The acceptance of Web 3.0 technologies is quite easy and it contains more than the Internet and basic word processing techniques. An analysis on Web 3.0 applications, which are easy to use, reasonable, and require minimum technology skills. Web 3.0 items that can be easily executed by learners or by the instructors include podcasting, weblogs, etc. Web 3.0, always uses the Internet as its transfer technique which can be an effective method of making a dynamic learning and teaching experience. Keywords: Web 3.0 technologies, Semantic Web, e-Learning, educational environment.

Abstract: The modern technology has increased the standard of living for the human. Everyone craves for a quality in everything in our daily lives. Today in the current global scenario the modern technology has increased the standard of living for the human. Demands have been emerged for quick and easy payment of bills in shopping malls. The experience of shopping at a shopping mall is often frustrating because shoppers have to look for items with minimal assistance available. To overcome these problems self-directed smart cart is a solution implemented using RFID Technology.

Abstract: Mental health is the aggregation of emotional, social and psychological well-being of a person. These problems at workplace can lead to an increased amount of substance abuse, work errors, workplace accidents, poor decision-making, poor timekeeping and a general deterioration in planning and control of work, which all contribute to an overall reduction in work output. Mental Health Prediction application, a one stop solution for all the employees where they can check their mental health regularly Scope of mental health maintenance isn’t solely a requirement of seeing a mental health professional, but rather creating a routine of self-check ins, and proper maintenance of our mental states.

Abstract: According to the current scenario, the use of machine learning is increasing in a variety of web applications and services. A good visual experience, fast performance, and easy to use framework is critical for developing and deploying your model. Working on a machine learning model is one thing but deploying a machine learning model to production can be another. Creating a Machine Learning model is one thing but deploying the model in real-time is the real challenge. For that purpose, many different technologies are available in the field. The simplest way to deploy a machine learning model is to create a web service or application. In this paper, we will discuss different frameworks for the deployment of the machine learning model on web applications or services. In this paper we will discuss Flask framework, Streamlit framework, Django Framework. Keywords: Flask, Streamlite, Django Framework, Model deployment, Web Framework

Abstract: Supply chain management involves the coordination of various parties in the production, handling, and distribution of goods. Blockchain technology offers a new approach to managing the supply chain by enabling the creation of secure, decentralized, and transparent networks for tracking and verifying the movement of goods. This can help improve supply chain efficiency, reduce the risk of fraud and counterfeiting, and provide greater visibility and traceability throughout the entire supply chain. With its ability to facilitate real-time tracking, smart contracts, and secure data sharing, blockchain technology has the potential to revolutionize the way supply chains are managed.

Abstract: In this article, we discuss Power-3 Heronian odd Mean Labeling for some families of graphs.A function is said to be Power-3 Heronian odd mean labeling of a graph G with q edges, if f is a bijective function from the vertices of G to the set{1,3,5,.......2p-1}such that when each edges uv is assigned the label

Abstract: The hearing and speech disabled people have a communication problem with other people. It is hard for such individuals to express themselves since everyone is not familiar with the sign language. The aim of this paper is to design a system which is helpful for the people with hearing / speech disabilities and convert a voice in Indian sign language (ISL). The task of learning a sign language can be cumbersome for people so this paper proposes a solution to this problem using speech recognition and image processing. The Sign languages have developed a means of easy communication primarily for the deaf and hard of hearing people. In this work we propose a real time system that recognizes the voice input through Pyaudio, SPHINX and Google speech recognition API and converts it into text, followed by sign language output of text which is displayed on the screen of the machine in the form of series of images or motioned video by the help of various python libraries.

Abstract: Currently, the Internet is playing a vital role in educating students to boost industrial production. Various network components are employed to give a wide range of options and reliability for internet services. As the Internet continues to develop and expand, network security has become an issue. Many attempts to secure transmission at the application, transport, or network layers have failed because the data connection layer has not been appropriately managed. The DHCP and ARP protocols are critical to the network's ability to function correctly. They were not designed with security precautions in mind. So, they are susceptible to a variety of assaults, including the rogue DHCPS, DHCPS hunger, DHCP hijacking, host impersonation, man in the middle, and DDoS. Here, we are going to examine how Kali Linux handles the aforementioned threats. DHCP hunger and host impersonation attacks could not be prevented by the current ARP and DHCP security measures. LAN assaults may be prevented and mitigated by using a novel method to protect ARP and DHCP. ARP and DHCP communications are…

Abstract: Skin cancer, one of the most common cancer types, has increased in prevalence during the past several decades. In order to properly care for patients, it is essential to appropriately identify skin lesions in order to differentiate between benign and malignant lesions. Although there are several computational methods for categorising skin lesions, convolutional neural networks (CNNs) have been shown to perform better than conventional techniques. In this study, we propose a hybrid CNN model for classification of skin cancers using dermoscopic images. To create a hybrid model for classifying skin cancers, we combine a pre-trained AlexNet CNN model with an optimised pre-trained DenseNet-121 CNN model. In this study, we put the suggested hybrid CNN model to the test using dermoscopic images from ISIC 2016–17. When evaluated on the ISIC Dataset, the suggested technique achieves extremely excellent classification performance, with an accuracy of 0.9065.

Abstract: Just like natural human intelligence, Artificial Intelligence (AI) can be explained as the intelligence demonstrated by machines, or rather how the machines and models are trained to predict outcomes and give answers in a way that mimic human intelligence. The goal of artificial intelligence is to provide software that can reason on input and explain the output through its various methods. Artificial Intelligence has found its applications in almost every sector in every industry – ranging from finance to marketing to general business management. Similarly, Data Science deals with decision making based on the insights gathered from data analysis rather than merely replying upon the decision maker's intuition and experience. This paper explores with how Data Science and Artificial Intelligence has transformed the way businesses operate and hence changing the strategic decision making and operations landscape in medium scale as well as large sized businesses. Keywords: Data Science, Artificial Intelligence, Business Analytics, Neural Networks, Recommender Systems.

Abstract: In this modern world e-book has become a basic requirement for the candidates to appear and prepare for their competitive exams within college premises. In this paper we are proposing a model system for smart question paper generation of universities. The mechanism behind this system is that many random question papers are generated along with the difficulty level of the questions in terms of percentage. After generation that particular quest ion is then mailed to the respective university. In this system administration of the database inputs set of question paper with an option of check box to tick th e correct answer. More ever weightage of the particular question in terms of marks and hours and the complexity of the question is determined. After this process whole question paper along with the weightage is stored in the database. In order to make question paper for 100 marks, admin sets all the weightage and difficulties to solve the problem. As soon as the difficulty and weightage is specified a pre doc file as per selected format will be downloaded to the admin and an…

Abstract: This paper presents a model based on physical and structural industrial load control. Lighting is an important service for all industries. Depending on the type of industry, industrial lighting consumes 2 to 10% of total energy. Innovation and continuous improvements in the lighting industry have opened up considerable opportunities for energy efficiency in the area. Lighting is a space that, during the design process, provides a wide range of energy efficiency by combining new & advance ener gy-saving bulbs, lamps and gears, as well as high performance techniques. It only provides an indication of some of the options a power auditor may consider when conducting an industry analysis. Energy conservation and exploration of new energy options is an acceptable solution to meet the growing demand of industry in the future. The implementation of energy research can improve equipment efficiency and thus reduce energy losses. Keywords: Energy Audit, Energy efficiency, Power, Consumption, Industry

Abstract: Maximum Power Point Tracking (MPPT) for photovoltaic system has been developed to maximize the produced energy. The output power of a photovoltaic (PV) module depends on the solar irradiance and the operating temperature, therefore it is necessary to implement the maximum power point tracking controller to obtain the maximum power of a PV system regardless of variations in climatic conditions. The output characteristic of a photovoltaic array is nonlinear and changes with solar irradiation and the cell’s temperature. Therefore, a Maximum Power Point Tracking technique is needed to draw peak power from the solar array to maximize the produced energy. In this work, the PV system is designed and simulated using MATLAB consisting of a solar panel array, MPPT controller, boost converter, voltage source convertor, a resistive load and grid. This thesis proposed the design and modeling of a fuzzy controller for tracking the maximum power point of a PV system. The performances of the solar PVs are analyzed with two cases, one with without MPPT controller and other is with the…

Abstract: Recruitment is a tiresome process wherein the very first task of a recruiter is to screen resumes (Curriculum Vitae). Nowadays, many companies prefer online job application in comparison to paper resumes. The proposed system is designed in such a way that applying for job openings & screening could be made easy for job applicants as well as the recruiters. The recruiters from the various companies can post their requirements for particular job openings available in their respective companies and on the other hand will allow the job applicants to submit their resumes and apply for job postings they are interest in. The resumes submitted by the candidates are then compared with the job profile requirements as stated by the company’s recruiter by using technologies like Machine Learning, Natural Language Processing which will not only help the recruiter to select the best candidates from the large pool of candidates but also help them in saving time that is invested in manual analysis of the resumes. Keywords: Machine Learning, Natural Language Processing, Curriculum Vitae,…

Abstract: There is a growing importance of healthcare and pandemic has proved that healthcare is an important aspect of an individual life. Most of the medical diagnoses require going to the doctor and fixing appointments for a consultation and sometimes to get accurate disease indications we have to wait for blood reports also we have to travel long distances to seek doctor consultation. When we are not feeling well the first thing we do is to check our temperature to get an estimate or baseline idea of our fever so we can consult our doctor if the temperature is high enough similarly a medical disease prediction application can be used to get a baseline idea of disease and can indicate us whether we should take immediate doctor consultation or not, or at least start some home-remedies for the same to find temporary relief. Combining machine learning with an application interface to interact with users provides opportunities for easy interaction with the users with the machine learning model to get more accurate predictions. Sometimes people feel reluctant to visit a hospital or…