The 100 most-cited articles in International Journal for Research in Applied Science and Engineering Technology, 2019

Machine Learning allows us to automatically learn and improve from experience without being explicitly programmed.There are various applications providing a method of data analysis that automates analytical model building.Resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever.Things like growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage.All of these things mean it's possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results -even on a very large scale.And by building precise models, an organization has a better chance of identifying profitable opportunities -or avoiding unknown risks.We need to advance more information to doctors so that they can make better decisions about patient diagnoses and treatment options while understanding the possible outcomes and costs for each.The value of machine learning in health care is its ability to…

Educational Data Mining is a prediction technique which extracts information of students from educational institutes like schools, colleges, universities. The whole idea of focusing on educational sector is the one related to discover new reasons or factors involved which are affecting their education. In this research, we conducted feature selection to select high impact characteristic and use techniques of data mining: Linear regression with the help of SPSS. Naïve Bayes, decision tree with the help of WEKA. This research is hold on 206 students by using 17 attributes in Madhav institute of technology and science, Gwalior. The result achieved with the help of the decision tree and naïve Bayes is able to predict the total number of students whose are outstanding, excellent, very-good, good, average, poor. The outcomes of feature selection method showed that 10 th percentage and 12 th Percentage were ranked top from all features and the result obtained by Naïve Bayes is better because it has a higher accuracy rate. The result also provides step to improve students' performance who…

Solar panels have a nonlinear voltage-current characteristic, with a distinct max-imum power point (MPP), which depends on the environmental factors, such as temperature and irradiation.In order to continuously harvest maximum power from the solar panels, they have to operate at their MPP despite the inevitable changes in the environment.This is why the controllers of all solar power electronic converters employ some method for maximum power point tracking (MPPT).Over the past decades many MPPT techniques have been published.The first objective of this thesis is to study and analyze them.The three algorithms that where found most suitable for large and medium size photovoltaic (PV) applications are perturb and observe (P&O) and incremental conductance (InCond).These were compared and tested dynamically according a recently issued standard.Several modifications to the P&O and the InCond algorithms are proposed, which overcome their poor performance when the irradiation changes continuously.The dynamic MPPT e ciency tests require long simulations and if detailed models of the power…

In today's world, we tend to are encircled by blends of technologies.We've non heritable majorities of those technologies into our everyday lives.More and more, these varied technologies are becoming integrated to produce US with new talents and services.And most frequently a pc is that the heart of such integration.This is often the case with video game a therefore referred to as technology that truly may be a terribly subtle integration of variety of technologies.Video game may be a technology supported pc that assimilates specialized input and output devices by permitting the user to move with and skill a manmade created surroundings as if they were within the universe.A video game system is additionally permitting the user to go looking and move with a 3 dimensional virtual or artificial surroundings created by the designer.Within the virtual world, the user will do all things just like routine as throwing a ball or as glorious as flying through house.And every one these items is created to occur solely owing to a hand gesture or a nod.Augmented Reality is a three dimensional PC…

Processing is branch of machine learning that deals with text and speech.Natural Language Processing is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way.

Mango is the popular delicious fruit and cash crop.When diseases affect the mango plant there is significant decrease in the production of mango due to which farmers suffer in selling their yield.This problem motivated to develop the new techniques to detect and diagnose the diseases affecting the mango plant and devise the expert system to prevent those.To increase production and quality, it is very necessary to control all such harmful disease at the earlier stage.In our country most of the farmers are illiterate.So they cannot get correct information about disease.It requires an expert advisor or agricultural officer.But it is difficult for an expert advisor or an agricultural officer to reach at every farmer.In mentioned system For image enhancement "Imadjust" function is particularly used for contrast enhancement.This is a inbuilt function in MATLAB. Contrast enhanced is done by linearly scaling pixel values and features used are Contrast, Correlation, Energy, Entropy, Homogeneity, Cluster prominence,Cluster shade, Variance and Dissimilarity. Classifier used is SVM. The…

Machine learning is a field of computer science which gives computers an ability to learn without being explicitly programmed.Machine learning is used in a variety of computational tasks where designing and programming explicit algorithms with good performance is not easy.Machine Learning (ML) is a vast interdisciplinary field which builds upon concepts from computer science, statistics, cognitive science, engineering, optimization theory and many other disciplines of mathematics and science.Machine learning algorithms consist of identifying and validating models to optimize a performance criterion using historical, present, and future data.A large number of techniques has been developed so far to tell the diversity of machine learning.The proposed paper briefly explains the various types of machine learning algorithms.The main advantage of using machine learning is that, once an algorithm learns what to do with data, it can do its work automatically.

The use of recycled concrete aggregate (RCA) in concrete as partial replacements of natural coarse aggregate is growing interest in the modern construction industry.As it reduces the demand of for virgin aggregate.In addition, the use of RCA leads to possible solution to the environment problem caused by concrete waste and reduces the negative environmental impact of the aggregate extraction from the natural resources.This experimental studies presents a comprehensive review on the use of recycled coarse aggregates (RCA) are discussed in this report.However, more emphasis has been given to discuss the effect of RCA on fresh concrete and hardened concrete properties and durability of concrete.

With the demand of addition of more and more system on chip, the number of transistors are getting added which leads to the increase in power dissipation in the devices.Recently, due to the continuous scaling of feature size, a massive development has been taken place in the field of portable devices.Two main features of low power design are battery lifeline (especially in portable devices) and reliability Present electronics market is full of battery operated highly complex gadgets and multifunctional portable devices.The power consumption in these devices has become the pivotal constraint.The main objective of this paper is to focus on various perspectives of low power design in VLSI circuits.

Autonomous Underwater Vehicles (AUVs) have wide range of applications in fields like marine geoscience, military, commercial and policy sectors. Their need and applications increase day by day due to their ability operate autonomously of a host vessel which is well suited for exploration of extreme environment. Thus, research on AUVs have become popular in the present-day scenario. This paper is intended to summarise the developments in the field of AUVs in India and abroad and tends to focus on their future technical developments.

India is one the country having population increase day by day it's mean traffic also increase. A rural area is fast developed in the country its mean furtherance of transportation facilities are also developed.A survey is carried out to give the best-proposed alignment in the road.The geometric design is the most concern the design of road alignment that related to the site conduction.The geometric design of highway deals with visible features of highway likes bridge, hump pipe culvert, ROW, cross section, sight distance, alignment, curves, Superelevation.The basic object is optimize efficient traffic and safety of highway and minimizing cost and environmental damages.Design the road is familiar with the basic of road geometric and next step to enhance their value is by learning software for application of the basic knowledge.I.

Man is continuously using energy at a rapid rate and since the population is increasing day by day so it has become difficult to provide energy to each and every one as the energy generated by conventional resources is not sufficient. Because these sources are limited and depleting at a rapid rate. So, footstep power generation aims to provide non conventional way of producing energy.This method is quite relevant in highly populated countries like india and china where the roads,railway stations, bus stands,temples etc are all overcrowded and millions of people move around the clock.This footstep energy is usually wasted which can be conserved and put to a good use.Non conventional energy system is very essential at this point of time to our nation.I.

The draw on of nano material in concrete is in advance growing interest in the construction industry. Studies have shown that concrete containing nano particles has established enlarged strength, durability and reduction of pore in the concrete due to the pour filling properties of the nano materials. This also conclusion in better confrontation to deterioration of the steel reinforcements. Hence, the nano materials are cooperative to recover the life of the building. The utilize of bulky amount of cement produce ever-increasing CO2 emissions and also consequents the conservatory effect. The nano resources are use in order to condense the cement content in the concrete mix. Nano material represents one of the most exceptional advances in concrete technology during the most recent decade. Due to its precise properties, nano materials may include the important growth of the quality of the concrete structure and open up new fields for the application of concrete. Nano material is spread all more than the world with a steady amplifies in number of function. Nano materials are…

Human population throughout the world is surrounded by an invisible continuously increasing web of radiation, originating from both natural and non-natural sources. Radiation is of two types: ionizing and non-ionizing depending upon their energy. The exposure to radiation has increased many folds in the recent years with the invention and launch of many electromagnetic devices. Exposure to ionizing radiations has been found to cause severe abnormalities in human beings such as DNA damage, cancer, infertility, electro-hypersensitivity, etc. which however is of different intensity depending upon the age group of human beings, with children and fetus being the maximum sufferers because of immature immune system and also various other cells in their body are still at the stage of division and differentiation. Present study has been aimed to investigate a generalized preliminary idea of various health related complications caused by ionizing radiations to human beings with special emphasis to fetus and children.

During the course of education the students achieve many certificates.Student produce these certificates while applying for jobs at public or private sectors, where all these certificates are needed to be verified manually.There can be incidents where students may produce the fake certificate and it is difficult to identify them.This problem of fake academic certificates has been a longstanding issue in the academic community.Because it is possible to create such certificates at low cost and the process to verify them is very complex, as they are manually needed to be verified.This problem can be solved by storing the digital certificates on the Blockchain.The Blockchain technology provides immutability and publicly verifiable transactions, these properties of Blockchain can be used to generate the digital certificate which are anti-counterfeit and easy to verify.

Technological developments have changed the way we live.Banks have introduced the concept of credit cards.Due to the advancement in the electronic commerce technology, the use of credit cards has increased and it has become a popular mode of payment for both online and offline purchases.In spite of this enormous popularity the cards are not free of risk.However, the vast majority of learning algorithms that have been proposed for fraud detection rely on assumptions that hardly hold in a real-world fraud-detection system.Our project mainly focussed on credit card fraud detection in real world.Initially we will collect the credit card datasets for trained dataset.Then we will provide the user credit card queries for testing data set.After classification process of dataset random forest algorithm is used for analysing data set and current dataset provided by the user.After final optimization the results indicates about the optimal accuracy for Random Forest Algorithm is 98.6% of the accuracy of the result data.

Since prehistoric times bauxite have been extracted from the earth which has been linked with the social, economical and industrial development. The various mining processes create negative impacts on environment both during the mining operations and for years after mine is closed. To quantify the impact of the mining on environment, it is necessary at first to evaluate the existing environmental quality of the area. As, all the environmental dimensions may not be significantly affected by a particular mining activity; it is necessary to identify the pertinent dimensions for studying in detail, in order to analyze the impact of the mining activity on them. Thus the recent changes in surrounding have increased the importance of assessment of mining impact on environment.

Image Processing has been an effective tool in solving a number of real life problems related to medical, science, weather etc. Analysis of the color degradation in diseased leaf or plant is an important step in manually identifying the disease and the type of disease. The work done in this thesis will automate this manual process of identifying the disease and inculcate the methods used by humans to distinguish between diseased and healthy plants. The current work has taken sugarcane plant as test dataset but the method can be generalized for other plant species as well. The soft computing techniques are helpful in developing the knowledge based systems, may be effectively utilized to develop the expert system. This system will be helpful for farmers to find the solutions to their farming problems. This research is carried out to study effectiveness of Image Processing and computer vision techniques for detection of disease in sugarcane plants by observing the leaves. Few major diseases in sugarcane plant like red rot, mosaic and leaf scald have been studied and detection algorithm…

This paper portrays the structuring and utilization of an Enchantment Mirror. A tremendous replicate is a framework that capacities as the mirror with greater capacity of displaying date, time, present day temperature, local weather subtleties to design a savvy mirror that receives an on-line information and exhibit it using the Internet of things (IoT).

In this world where technology is reaching new heights every day, the future of every industry, supermarkets and hypermarkets lies in automation.Shopping malls plays an important role as it provides all day to day life products which are essential for our daily life.Every supermarket provides shopping trolleys and baskets in order to assist the customers to carry the products of their interest without incorporation of electronics.Many attempts have been made in order to modernize the shopping experience of the customers.The most common problem that is faced by the customers is wasting time in long queues for billing their purchased products.Today's shopping malls use barcode technology for bill generation.Scanning products using Barcode requires perfect line of sight between products and reader which requires lot of time for billing.The main aim of this paper is to present a system that replaces barcode technology with RFID technology as it does not require perfect line of sight to eliminate long queues.The model describe in this paper provides simultaneous billing by displaying…

A mediator person is required for communication between deaf person and a second person.But a mediator should know the sign language used by deaf person.But this is also not possible always since there are multiple sign languages for multiple languages.It is difficult for a deaf person to understand what a second person speaks.And therefore, deaf person should keep track of lip movements of second person in order to know what he is speaking.But the lip movements do not give proper efficiency and accuracy since the facial expressions and speech might not match.To overcome the above problems, we have proposed a system, an Android Application for recognizing sign language using hand gesture.The features of this system are the real time conversion of gesture to text and speech.For two-way communication between deaf person and second person, the speech of second person is converted into text.The processing steps include: gesture extraction, gesture matching and conversion of text to speech and vice-versa.The system is not only useful for deaf community but can also be used by common…

Plastics are the most widely used artificial polymers in the world, by their specific characteristics, such as simple manufacturing, molding, cheaper costs and low density.The main problem is the non-biodegradable properties.In doing so, we focus on recycling the rich plastics.The type of plastic used in this project is polyethylene.Electric heaters are designed to melt plastics and mix various types of sand, such as river sand, M sand or fly ash to bricks.This heating machine is also aimed to recycle the used plastic brick itself at almost 700°C.The heating components used in this project is "Nichrome typeA1", which melts at around 1400°C.The insulating film used can withstand 1400°C and more.

In India food waste produced as much as the whole of United Kingdom consumes, in an around 40% of food produced in India is wasted.According to the agriculture ministry, INR 50,000 Cr worth of food produced is wasted per year.Solid waste management is major issues in these areas and Present study is to convert this waste into useful burning gas.Kitchen waste is highly neglected area of the environment management in most developing countries.Kitchen waste produced largely weddings and banquets, Mess, Hotels etc.In our institute we have hostel mess with daily a large amount of kitchen waste is generated.In an around 200 liters waste produced per week, in that majorly Chapati, rice, meat, vegetable wastes.Organic processing facilities to create biogas which will be more cost effective and eco-friendly, cut down on landfill waste generated a high quality renewable fuel and reduce carbon dioxide &methane emission.The Biogas digester requires maintaining the alkalinity pH 7 to 8; in this digester of previous cow dung slurry is fed kept for 15 days, after generating biogas we feed cocked…

Counterfeit notes are one of the biggest problem occurring in cash transactions.For country like India, it is becoming big hurdle.Because of the advances in printing, scanning technologies it is easily possible for a person to print fake notes with use of latest hardware tools.Detecting fake notes manually becomes time-consuming and untidy process hence there is need of automation techniques with which currency recognition process can be efficiently done.Here we implemented our proposed idea in two ways: one by using analysis through hyper spectral imaging and the second one is the Extraction of different features in fake and real currency notes and through comparing with each other we can able to differentiate the fake note from the real note.We integrated these two systematic approaches in our proposed work.The different colour lights used for hyper spectral imaging are Ultraviolet (UV) light, Normal LED Bulb, Red LED light, Green LED light and Blue LED light with different wavelengths ranging from 360 nm to 800nm respectively.In image processing part, The different features…

Analytics play a critical role in network operations in an enterprise network environment. Advanced analytics capabilities can support better capacity planning and traffic management in an enterprise network. A new generation of networks analytics tools and solutions comes into play, helping network providers optimize network builds and simplify network control and operations.There is no specific network analytics architecture stack has been proposed yet.Hence, it is proposed to design a network analytics architecture stack to an enterprise network environment.The proposed architecture stack offers a breadth of analytics solutions architecture that enable network providers to gradually adopt analytics.This has been designed with a set of architecture principles that are commonly accepted as best practices in the network industry.With this architecture, it strongly believes that it can improve agility, while at the same time having control over data integration and distribution.

To provide assistance to the farmers by predicting the suitable crop for their agricultural purposes by using sensors which provide great accuracy and also suggesting the fertilizers required for the growth of the crops

Cloud computing is a model driven methodology that provides configurable computing resources such as servers, networks, storage and applications as and when required over the internet services.Cloud computing provides high performance networks and advanced development of internet.There are many services related to cloud computing are becoming popular to the end users.There are many smart phones, smart pads and other mobile equipment's and end users can access the cloud computing services through this devices.In Mobile Cloud Computing (MCC), there are two devices such as a physical device in real world and a virtual device in cloud computing environment.Mobile Cloud computing integrates the cloud computing into mobile environment and remove the obstacles related to the performance, and security in mobile computing.There are several security issues that are arises while integration of a mobile application in Mobile Cloud Computing environment [1].This paper enlightens the current trend in Mobile Cloud Computing Security, and different algorithms used for various functionality.

Sustainable development of structure starts with an alternative to available natural resources; improving the capacity of structural building framework in withholding the ultimate effects due to natural causes and it will turn in lower casting and better utilization of waste materials.In this series, the use of steel fibre can be made to incorporate the additional strength and reducing the carbon di oxide emission effect during manufacturing by replacing a certain part of steel fibre with aggregates.In this research paper, comparison of compressive strength is made on the use of steel fibre.Steel fibres in the form of waste such as lathe waste, empty tin, soft drink bottle caps are deformed in desired shape and are used in the fractions of 0%, 0.50%, 0.75%, 1.0% & 1.5% in the preparation of concrete specimen and samples were observed for compressive strength and split tensile strength for 7, 14 and 28 days.A result data obtained has been analysed and compared with a control specimen of 0% fibre.The study shows steel fibre enhances the quality of concrete and hence increase the…

Orifice metre in simplest form is a hole in plate which is introduce in flow to determine discharge of flow.The orifice metre is the cheapest and simplest method to carryout flow analysis.However, this process has major drawback of energy transmutation phenomenon; which is accompanied by various losses.In order to wrest these drawbacks; instead of single hole Multi-hole orifice is preferred.The paper aims on review of several annals in the field of flow measuring techniques aided by Multi-hole orifice plate.The paper elaborates analysis of various flow parameters associated with Multi-hole orifice plate and their physical existence in the flow; also, how this method is efficient than conventional method.Various analysis method such as CFD, finite elemental methods, numerical methods and experimental methods are elaborated in this paper suggesting efficient functioning of Multi-hole orifice plate.The future prospects in the respective field through exploration of the developments in its applications and research this far are also discussed.

Population aging is a global issue and medication adherence is a major problem in health care sector.This paper proposes an autonomous medicine dispenser box that alleviates irregularities in taking prescribed medication at appropriate time.The main purpose of this system is to help patients primarily seniors, other vulnerable group that may need assisted care, and to switch from approaches dependent on human memory to automation with negligible supervision ,hence reducing human efforts and preventing error prone tasks of giving wrong medicines at the wrong time in wrong amount.The system contains a programmable alarm system with an interactive UI and sends notifications about the medicine taken and supply of medicines.

As per analysis it is known that around 285 million people are disabled.Few advances such as braille note creators and navigation sticks have been created.We need better innovation to dazzle the visually impaired by perceiving the contents in pictures using significant parameters while planning these frameworks.PC visions is one of the progressive and developing innovations that can assist the visually impaired.Shopping is the fundamental need that includes many interconnected devices.This need includes checking current stock, making a shopping list dependent on arrangement, getting to the store and buying at the store.Each of these are a critical task.In our work visually impaired individuals can shop from the store without assistance of any other individual but an android based PDA.

Signatures are one of the feature which distinguishes a person's identity.But to make it as a conventional method to emerge it with the current trends of technology we will try to automate the signature system in order to make it more reliable and efficient.In this project, we present a simple approach of offline signature verification, where the signature is done on paper and then it will be transferred to an image format by capturing it with camera of mobile phone or tablet.For identifying the signature, we will first do some statistical calculations aiming to extract the features from the signature and then we train the captured signature images using some classification algorithm on these features from different signers.And at last, the extracted features from the tested signature are compared with the previously trained features and we know the identity of the signer.

With the headway of innovation, the security issues that are associated with the vehicles and automation has been considerably attenuated, thought of one amongst such technology is Anti-lock braking system popularly remarked as ABS system. Through the event of this technology, a number of injuries had been attenuated. However, this method will no longer work correctly for hindering street circumstance. To conquer this disadvantage, the vehicle business got here up with the new technology as well as EBFD, ECS, TCS. During this paper, we tend to speak the strategies of ABS and it's advanced technology.

currently, the world faces two major crises, depletion of fossil fuel and environmental degradation.So, to solve both problems, renewable alternative fuel is necessary with a minimum impact on the environment.Therefore, the search for biofuels has been raised in the earth world, to preserve the global environment and to replace fossil fuels by biodiesel.In this work, performance and emission characteristics of a diesel engine are studied using cottonseed oil methyl ester as biodiesel and CuO nanoparticle as an additive in a single cylinder four strokes computerized variable compression ratio engine. The copper oxide acts as a catalyst to provide oxygen for the oxidation of CO or otherwise absorbs oxygen for the reduction of NOX. The carbon deposits within the engine cylinder are burned by the activation energy of copper oxide at the wall temperature and also it restricts the deposition of non-polar compounds on the cylinder wall results, diminution in hydrocarbon emissions. The tests revealed that copper oxide nanoparticles can be used as an additive in diesel and…

The problem with expansive soils has been recorded all over the world.In monsoon they imbibe alternative swelling and shrinkage, lightly loaded civil engineering structures like residential buildings, pavements and canal linings are severely damaged.It is, therefore, necessary to mitigate the problems posed by expansive soils and prevent cracking of structures.This paper describes the use of Coir Fiber and Rice Husk Ash for soil stabilization.Standard proctor test, California bearing ratio test and unconfined compression strength test were carried out.The fraction of Coir Fiber is used in this paper is 2, 2.5, 3 and 3.5 along with fixed value of Rice Husk ash 15%.The different percentage were determined which showed considerable enhancement in the strength of treated soil.The maximum value of C.B.R. is at 3% Coir Fiber and 15% Rice Husk Ash additional increase in ratio of Coir Fiber the C.B.R. value decreases.The maximum value of U.C.S. is also at 3% Coir Fiber and Rice Husk Ash 15%.Experiment results show Coir Fiber and Rice Husk Ash enhances the strength properties of soil along…

Weather forecasting has a pivotal role in everyday life, including worldwide agricultural and industrial sectors as these things are based on the weather conditions.Besides forecasting it is used to for the purpose of warning about the natural disasters.It is a technique, through which we can predict the weather condition of a given location, with the help of science for the purpose of observation of thriller weather.Through these technologies, we can mend a way to foresee natural stuffs like cloud cover, rain, snow, wind speed and temperature.Weather forecasting is used to determine the exactness of weather parameters then the future weather condition on the basis of this parameters.At the time of analyzing the existing data of the previous years it infuse proposed scheme or techniques which is with a tendency to conclude that, machine learning paradigm and allows to research the given set of knowledge and get the needed information from the given data, so through this we can track the unpredictable patterns of climatic conditions, a prognosticative model is also followed.For this…

This research paper basically gives an overview of the blockchain technology as well as how the technology really works.Based on that, it indicates how this technology can be used in the Healthcare department, stating the changes that the healthcare sector will see and how it will solve real world problems as well.

We address the problem of recommending suitable jobs to people who are seeking a new job.We formulate this recommendation problem as a supervised machine learning problem.Our technique exploits all past job transitions as well as the data associated with employees and institutions to predict an employee's next job transition.Dealing with the enormous amount of recruiting information on the Internet, a job seeker always spends hours to find useful ones.To reduce this laborious work, we design and implement a recommendation system for online job hunting.In this paper, we contrast user-based and itembased collaborative filtering algorithm to choose a better performed one.We also take background information including students' resumes and details of recruiting information into consideration, bring weights of co-apply users (the users who had applied the candidate jobs) and weights of student used liked jobs into their recommendation algorithm.At last, the model we proposed is verified through experiments study which is using actual data.The recommended results can achieve higher score…

Water is the important source in human life.Around 80 % to 90 % water used in agriculture field.As due to day by day growth in globalization and population water consumption is also increases.Today automation is one of the important roles in agriculture field.Agriculture is the primary occupation in our country.India's major income source is depending on agriculture therefore the development of agriculture is important.In today also most of the irrigation systems are operated manually.The available traditional techniques are like drip irrigation, sprinkler irrigation etc.By the use of Drip Irrigation we can save water and fertilizer provided to the crops.Whenever there is a change in temperature, humidity and current status of rain of the surroundings these sensors senses the change in temperature and humidity and gives an interrupt signal to the raspberry pi.This paper focuses primarily on reducing the wastage of water and minimizing the manual labor on field for irrigation so that you can save time, cash and power of the farmer.

This project deals with the cost-effective BLDC motor drive powered from solar photovoltaic system with HCC fed water pumping system for irrigation.BLDC motor is preferred over other brush-based motors for its unique features like high efficiency, high torque and simple structure with low noise.As solar power is abundant and available at any place so the solar photovoltaic (SPV) array system is considered as the source.The modified incremental conductance maximum power point technique (MPPT) is used because of its advantage of providing soft starting to BLDC motor.To extract maximum available power from SPV array a buck-boost converter is used.By using conventional control strategies torque ripples are present, by introducing Hysteresis Current Control (HCC) torque ripple can be minimised.The main objective of this paper is to minimize the torque ripples occurring in BLDC motor drive using Hysteresis Current Control, which is simulated using MATLAB/SIMULINK platform.

The international conference on harmonisations is the invention of three regulatory agency USA, JAPAN, EUROPE. The ICH bringing together with regulatory affair for registration of product and scientific, technical aspect. The mission of the ICH is to improve worldwide harmonization with safety and efficacy also registration and development of high quality with good manner. The ICH in quality area which provide guidance to conduct stability study, impurity detection, pharmaceutical manufacturing and development, regulatory aspect, good manufacturing practices, quality risk management. The ICH quality guideline control and improve pharmaceuticals drug development with better harmonization.

Printing has been recognized as a disruptive technology for future advanced manufacturing system.With a great potential to change everything from our daily lives to the global economy, significant advances in 3D printing technology have been made with respect to materials, printers and processes.In this context ,although similar to 3D Printing technology,4D printing technology adds the fourth dimension of time.4Dprinting allows a printed structure to change its form or function in time and response to stimuli such as pressure , temperature, wind, water and light.recently, rapid advances in printing process and materials development for 3D printing have allowed the printing of smart materials or multi-materials designed to change function or shape.The basic principle of 4D printing with multi material structure is to create precisely controlled localized internal stress with in a printed construct, which upon subsequent stress release can undergo further 3D shape shifting in a predictable manner In this review, we look into the main factors composing 4D printing technology such as…

Globalization is a main factor behind increasing use of transportation.Every country is facing problem of transportation.Tom-Tom is leading Dutch company, manufacturer of traffic and mapping products.After surveyed as many 390 cities, in 48 countries and six continents the results were found that some countries like Mexico, Thailand, Indonesia, China and Romania facing a huge transportation problem.Some cities of India like Mumbai, Pune, Kolkata, Bangalore and Delhi dealing with the same.Cities are spine of the economy.The conventional unique modes of transportation are road, rail, water and air used by people.These modes of transport has very common sets of problem i.e. safety, security of structure, space, time required for travelling, money, environmental crisis etc.This Existing modes of transportation technology are either relatively slow, expensive or a combination of the both.Hyperloop is a future new mode of transportation that travels quickly, safely, ondemand and direct from passenger origin to destination.An innovation such as Hyperloop is a new future mode of…

The aim of this research is to give a general overview of the current status of health and safety in the construction industry.Health is the process of protecting the minds and bodies of people against illness as a result of the mishandling of materials, procedures and processes involved in the workplace.Safety involves the process of protecting people against physical injury.Health and safety are normally used together to show worry for the mental and physical health of the individuals at work The health and safety is an issue to all organizations across all Industries.Health and safety is specifically significant and crucial for the construction industry.It is the most dangerous industries in the nation.Research on this thesis is based on a general overview of health and safety in the construction industry, highlighting on a strategic approach to dealing with three major issues with regards to health and safety in the construction industry.

This paper describes the working of a wireless heartbeat and temperature monitoring system based on NodeMCU-Wi-Fi model for implementing IOT concept with a microcontroller.Online mode is mostly used in today's world but our system is designed such that a patient can be monitored remotely in online mode in real time.The proposed system, we use sensors which measures heartbeat and body temperature of a patient which is controlled by the microcontroller.The measured data collected from the remote location is transmitted through the wireless system.The heartbeat sensor checks the value of the human body counts the heartbeat and the temperature sensor measures the temperature of the human and surrounding and both the data are sent to the microcontroller for transmission to receiving end and send a value to the server.Here we design the three modules, doctor module to check the overall patient record, the patient module is to check the all health record, a relative module is used to the emergency situation.If an emergency occurs to the patient then automatically server sends the…

Land is the least straightforward industry in our biological system.Lodging costs continue changing all day every day and now and then are advertised instead of being founded on valuation.Anticipating lodging costs with genuine elements is the principle essence of our exploration venture.Here we plan to make our assessments dependent on each fundamental parameter that is considered while deciding the cost.We utilize different relapse systems in this pathway, and our outcomes are not sole assurance of one method rather it is the weighted mean of different procedures to give most exact outcomes.The outcomes demonstrated that this methodology yields least blunder and most extreme precision than individual calculations connected.We additionally propose to utilize ongoing neighbourhood subtleties utilizing Google maps to get accurate genuine valuations.House costs increment consistently, so there is a requirement for a framework to anticipate house costs later on.House value expectation can enable the engineer to decide the selling cost of a house and can assist the client with arranging…

Data quality is critical for effective machine learning, and this makes data a first-class citizen in the context of machine learning, on par with algorithms, software, and infrastructure.As a result, machine-learning platforms need to support data analysis and validation in a principled manner, throughout the lifecycle of the machine learning process.This paper reviews the data infrastructure we built at Google to address these challenges in the context of large-scale production machine learning pipelines.

Looking at the population increase in India, waste generation and segregation is a major issue in the current scenario.Tonnes of mixed waste is dumped without segregating it properly which leads to problem in decomposition.Due to this mixed waste several other problems arise over a period of time.To avoid this, waste segregation at least at the basic level is very much needed.We have implemented a system based on Convolutional Neural Networks.The basic idea is that when the waste is to be dumped in the garbage bin, the system will identify the type of waste and will open the dustbin of that category accordingly.Using this system, it becomes easier the segregate waste at the basic level.We have four categories in which waste will be segregated namely, glass, paper, plastic, metal.Four distinct dustbins along with servo motors will be used for the same.

The oil market has its effect straightforwardly or in a roundabout way on the income distribution of countries influencing the stock market, average cost for basic items, education, essential commodities and many more.Moreover, in response, oil costs are influenced by various elements.In this manner, there is an unmistakable need to figure the oil value patterns.This challenge has been undertaken by numerous studies.Machine Learning has been the crucial crux for a lot of them.LSTM models have been used time and again for time series forecasting.This article studies the LSTM neural network and its use to predict future trends of Brent oil prices based on the previous price of Brent oil.

Voltages are well balanced at the generator and the transmission levels but are not balanced at the utilisation or distribution levels due to unequal system impedances and unequal distribution of single-phase loads. An excessive level of voltage unbalance can poses serious problems to the induction motors connected to unbalanced voltage supply. Study of power quality impact of induction motor is of paramount importance as induction motors consume significant amount of energy of the total power generation. A comprehensive review of voltage unbalance factor by NEMA, IEEE, IEC and other researchers has been summarised. The method used for steady state analysis has been explained precisely. Definitions of voltage unbalance factor are analysed and compared given by different sources. Classification of unbalance is also summarised. Voltage unbalance impacts on the motor and mitigation techniques are also presented. Recommendation regarding precise derating factor has been given.

Fake news has vast impact in our modern society.Detecting Fake news is an important step.This work purposes the use of machine learning techniques to detect Fake news.It is now used not only for social communication, but also as an important platform for exchanging information and news.Internet and social media made the access to the news information much easier and comfortable.Often Internet users can follow the events of their interest in online mode, and spread of the mobile devices makes this process even easier.This paper develops a method for fake news detection using machine learning on Twitter by learning to predict accuracy assessments in two credibility-focused Twitter datasets: CREDBANK, a crowdsourced dataset of accuracy assessments for events in Twitter, and PHEME, a dataset of potential rumors in Twitter and journalistic assessments of their accuracies.Apply this method to twitter content sourced from Buzz Feed's fake news dataset and show models trained against crowdsourced workers outperform models based on journalists.use of machine learning techniques to detect…

Maximum compressive strength to the tune of 32.1MPa was recorded with 3% coconut fibre.Higher concentrations of coconut fibres recorded negative effect on compressive strength.For tensile strength and flexural strength coconut fibre (3%) recorded beneficial effects in improving the average tensile strength and average flexural strength.Higher concentrations exhibited detrimental impact.Irrespective of different levels of fibres, 28 days curing recorded maximum test values.Study confirmed beneficial effect of 3% coconut fibre as reinforcement for improving compressive, tensile and flexural strength values of concrete.

People endorse the great power of cloud computing, but cannot entirely trust the cloud suppliers to host privacysensitive information, because of the absence of user-to-cloud controllability. to form certain confidentiality, information owners supply encrypted information instead of plaintexts. To share the encrypted files with different users, Ciphertext-Policy Attributebased secret writing (CP-ABE) is also accustomed conduct fine-grained and owner-centric access management. but this does not sufficiently become secure against different attacks. many previous schemes did not grant the cloud provider the ability to verify whether or not or not a downloader can decipher. Therefore, these files have to be compelled to get on the market to everyone accessible to the cloud storage. A malicious wrongdoer can transfer thousands of files to launch Economic Denial of property (EDoS) attacks, that is ready to principally consume the cloud resource. The money dealer of the cloud service bears the expense. Besides, the cloud provider serves every as a result of the capitalist and conjointly…

Purpose The present study has been undertaken to determine effectiveness of the estimated protein intake (EPI) based on urinary urea nitrogen (UUN) in patients with NAFL Methods A total of 50 patients with NAFL were taken into consideration in this study. The actual protein intake (API) of the patient was determined through 7 day dietary recall. The estimated protein intake (EPI) was calculated using the following equation: EPI= [UUN (g/d) + 0.031×body weight(kg)]×6.25] Results The correlation between API and EPI was examined. As compared to API, EPI was found out to be lower due to low bioavailability of protein sources in the diet and therefore the correlation between API and EPI was non significant as p>0.01. Conclusion It can be concluded that UUN is one of the novel methods in order to find out EPI if all the limiting factors can be taken care of. Also this study needs further consideration to find out much more accurate correlation between UUN and EPI.

Now a day in metropolitan cities air and noise pollution becomes serious issues, due to high decibels and toxic gases present in the environment which directly effect on human health and thus needs a special attention.Therefore, it has now become necessary to control the pollution (air and noise)to ensure healthy livelihood and better future.In this paper, an effective implementation for Internet of Things is used for monitoring atmospheric conditions of environment like air pollution and sound pollution.This paper presents a conceptual architecture for a versatile, flexible and cost efficient for monitoring the air and sound quality of a particular site.This system propose an air quality as well as sound pollution monitoring system that allows us to monitor and check live air quality as well as sound pollution in an area through IOT.System uses air sensors to sense presence of harmful gases/compounds in the air and constantly transmit this data.Also, system keeps measuring sound level and reports it.

In today's era, "concrete" is proving to be a very important component of the level of construction, due to which 6 million tonnes of concrete is being produced annually.Due to the continued development, cement is being consumed very fast in the field of construction.This component of concrete, such as cement and other raw materials, is emitting CO2, which is proving to be very harmful for those living in our environment and environment.Along with this, there is a great impact on the economy.Keeping in view the growing need for development and the environment, the cement is being changed in different ratios with different types of pozzolans.In this research, cement has been partially substituted in different proportion with Marble Dust and various types of tests have been done.In this test, the marble dust has been altered with cement ratio of 0%, 5%, 7.5%, 10%, 12.5%, 15% and 20%, and as a result (concrete two grade M-25 and M-30) Tensile Strength and Compression Strength of the concrete, The test has been done in 7 days, 28 days and 56 days intervals.

Demand for agriculture goods is consistently growing to keep up with the world's population growth.The relationship between land, population, and field production is a complex one.Since agriculture becomes modernized, its dependence on land as well as on individual labour decreases.In the backdrop of those challenges, farmers are in need to adopt new technologies.E-Agriculture is a one of such concept that is playing a part in the enhancement of processes associated with Agriculture.This new technology can help improve operational planning and accelerate decision making on farms, large and small.Artificial Intelligence and Internet of Things (IOT) is emerging as part of the solutions towards increased agricultural productivity.IOT in an agricultural refers to the use of sensors, cameras, and other devices to show every factor and action involved in farming into data.This particular data is stored on farm management systems that allows for better processing and analysis.Typically the availability with this data and other related data is paving a way to deploy AI in agriculture.

The engineering strength properties of expensive soils (clayey soil) such as compaction characteristics and bearing capacity can be improved by stabilization process of the soil. These properties can be improved by controlled compaction using the mechanical equipment's or by addition of suitable admixtures like cement, fly ash, lime, gypsum or by reinforcing the soil with shredded tyre, crumb rubber, plastic waste etc. But gypsum is used now a days to enhance the geotechnical properties. So, in this research paper gypsum and calcium chloride has been used to improve the various strength properties of natural soil. The objective of this research paper is to investigate the strength properties of natural clayey soil reinforced with different percentage of gypsum by the weight of soil and fixed percentage of calcium chloride as a binding material. A series of Standard Proctor test, Free swell Index and California Bearing Ratio (CBR) tests are conducted on both natural soil and reinforced soil with varying percentages of gypsum (2%, 4%, 6% and 8%) by weight and fixed percentage of…

The Newton's Raphson method is also known as Newton method.It is named after Isaac Newton and Joseph Raphson.This method is easy way to find an approximate to the roots of real value and also to solve the non-square and nonlinear problems.It also aims to represents a new approach of calculation of non-linear equation which is very similar to Newton Raphson method simple method and inverse Jacobian matrix will be used for further calculation and will also in some application.Self-derivative function in solving non-linear equation in scientific calculator, derivative Newton Raphson formula algorithm, uses and limitations of Newton Raphson method is been discussed below. I.

As malware increases nowadays, it is necessary to safeguard your system from the malware.Malware is being protected by traditional methods but it only protects system from the malware whose signature is known.So we aim to prepare a software which detects the malware (signature is unknown) by the malware( signature is known) and after detecting the malware, steps must be taken to retrain the model and disallow the malware to compromise the system.For detecting the malware already known machine learning methods such as random forest classifier, multi view ensemble learning etc. will be used.

A Chatbot is a software that allows to initiate a conversation between the user and the system. It is an Artificial Intelligence (AI) based software that can be established as messaging applications, web applications or mobile applications. A chatbot represents a question answering system that uses Natural Language Processing (NLP). Formulating responses to questions in natural language. Chatbots are making a mark in the field of Medicine and provides an effective way to handle patients of medical organizations. Medical chatbots are able to conduct one-on-one conversations with patients and evaluate each patient's individual requests. The objective of this project is to analyze the existing e healthcare system that involves a novel human -machine interaction and proposes an alternative system: a Chat Interface that is designed and trained in order to act and interact with patients as a human being. The Proposed system is a web application with a chatbot in it. The system provides a chat interface which allows the user to enter their symptoms manually; this helps the system to…

In agriculture to grow healthier yield nutrients existing in the soil should be managed properly.Continuous growing of plants affects the soil fertility and its fertility level goes down.Farmers should go to laboratory for testing the fertility of the soil and it's time consuming.Consequently by using technology the fertility of soil can be verified using various sensors.Temperature/humidity sensor, pH sensor, and NPK sensor are used.Sensed data is sent to server and stored on database, then information is sent to farmers mobile with soil nutrients present and type of crop they can grow to gain better yield.This makes the soil testing procedure easy.Method used to detect soil nutrient is colorimetry.

The two-level security level needs data storage into a medium-sized medium that has also been inserted into another media.Two covers can be the same or different depending on the features and applications.DNA cryptography is a neutral source that utilizes the evolution of the molecular and gives us the new hope of the algorithm that can not be explored but the principles need to be even more explored in DNA analyzes.Focus on DNA security protection by using an image design using DNA.This template explains how to apply to DNA Cryptosystem for securing data.

Level, which makes it easy to conservation.The main purpose of our work is to design and selfstarting vertical axis wind turbine.Also, VAWT are Omni-directional, this means that they do not need directed towards the wind power.This paper gives an overview of vertical axis wind turbine.They were observed that VAWT plays important role in the current energy crisis.Wind energy is energy recognized as a favorable renewable option.The behavior of the Vertical Axis Wind Turbine (VAWT), present technological state, new finding through modelling work and future direction of VAWTs were reviewed.From the vast research ,according to the current technical states of VAWT china was inspected there are major researchers in the area for the last few years while being European countries serve your location in this research area.Vertical axis wind turbine power generational equipment can be located at ground generation.

Textures are one of the most important features in computer vision for many applications. Texture Feature Extraction is a method of capturing visual content of images for indexing & retrieval. General features such as extraction of color, texture and shape or domain specific features. GLCM to extract statistical texture features such as Contrast, Correlation, Energy, Entropy and Homogeneity. GLRLM to extract run length features such as SRE, LRE, GLN, RLN, LGRE and HGRE. Constructing combinations of the various extraction methods (GLCM & GLRLM) to get the data with sufficient accuracy. The experimental results demonstrated that texture feature extraction based on the KNN technique achieved a better image recognition, and the accuracy of classification based on this method has been significantly improved and that it requires less computation time efficiently used for real time Object Tracking Applications.

As age of human beings increase most of the people lose their eye sight nowadays, they face more problems in their daily routine life. One such example are persons with low visibility, who cannot operate mobiles in the emergency conditions whenever they need help from required persons, (requirement of doctor). Aged people with blindness find problem while walking, such as unable to view obstacle at a close distance in front of them which may inflict injuries to one-self. To overcome these such problems faced by low sight by old aged people, we have come up with solution which helps them to walk freely and fulfill their requirements using speech reorganization and intimate to the person by text message with the area where the patient is, and calling to specifies persons. This project informs the user through voice about the distance of a particular object ahead them through voice output. Along with this another feature is also added such as sensing the lighting condition in the room and illuminating an LED lamp automatically.

In today's world, computer aided technology is touching every sphere of human life ranging from communication, smart systems and even medical diagnosis. One of the broadest and upcoming area of research is biomedical image processing that includes biomedical signal gathering, picture processing, image forming, and display to medical diagnosis based on various features extracted from the images. One of the most challenging and complex area of research in biomedical image processing is the segmentation and analysis of brain tumor. This paper proposed method for pre-processing and segmentation of brain image for tumor detection.

This paper proposes a multilevel inverter with reduced number of switches.Compared to conventional inverters, the proposed VR topology for 17 level gives higher levelled MLI and thus harmonics is reduced.The use of an H bridge plays the key role of reducing the number of switches particularly for higher levels.Here, a new Sine Property method to adjust the step angles of each level in the output is implemented to reduce the harmonics in the output waveform. I.LITERATURE REVIEW This chapter briefly discusses the development of nonlinear transcendental Selective Harmonic Elimination (SHE) equation problem in control of multilevel inverter with an objective of controlling the chosen multilevel inverter configuration during whole range of modulation index from 0 to 1 with less %THD which complies with IEEE 519-1992 harmonic guidelines and also with less switching losses.Commercially existing topologies of multilevel inverters and modulation strategy for the control of multilevel inverters are briefly reviewed.It also reviewed the research progress of various techniques for solving non…

The delinquent of air pollution has become a staid concern in developed as well as developing republics.Distressing human's respiratory and cardiovascular system, air pollution is the origin for increased impermanence and increased risk for diseases for the inhabitants.Particulate matter (PM 2.5) needs more responsiveness.When its level is in elevation in the air, it causes solemn issues on people's health.Hence, we need to control it by uncompromisingly keeping a trail of its levels in air.With cumulative air pollution, we need to implement proficient air quality monitoring models which collect evidence about the deliberation of air pollutants and provide assessment of air pollution in apiece expanse.Hence, evaluating air quality and its prediction is an imperative research capacity.This paper is basically a little contribution towards this challenge.We compare four unpretentious machine learning algorithms, linear regression, naïve bayes, support vector machine and random forest.Enactment of these algorithms can undeniably be helpful to predict air pollutants levels ahead of time.

An email client receives emails from different websites, portals and domains, which can be an advertisement. Receiving a bulk amount of emails can cause serious damages like suspension of a particular email id.Mostly an email client gets exposed to the number of malicious receipts by registering an email account to a web portal, which in turn sends a bulk amount of emails. The email client wants to be decisive about differentiating the useful emails and spam emails. One of the solutions to escape from spam emails is to develop a decision based system which can classify the spam and non-spam emails. This survey gives an overview about different machine learning and deep learning algorithms to classify the spam and non-spam emails by accessing the received emails of an email client. The machine learning approaches and mechanisms like support vector machine, naive Bayesian classifier, artificial neural networks and logistic regression can be of important help to determine spam emails. These approaches use decision trees to run tests on a given sets of data (emails). After classifying a…

Resistive switching devices have now become important candidates for non-volatile data memories often referred to as Resistive Random Access Memories (RRAM) or Memristors.Resistive switching is a physical phenomenon where a dielectric suddenly changes its resistance under the action of strong electric field.The change in resistance is non-volatile so used in resistive random access memories which are a promising candidate for data storage applications.These devices were mainly fabricated by means of top down approach but because of the size limits, bottom up approach is used.This paper discusses and focuses on the study of resistive switching in Titanium Dioxide (TiO 2 ) thin film for use in non-volatile memories.

Fish waste management has a major problem with environmental and disposal of fish waste, due to rapid urbanization and Fish waste is high disposal costs.Captured fisheries generate a high amount of waste.It has been evaluated that for one tonne of fish consumed, an equal volume of fish material is eliminated either as waste or as a low value by-product.The study was aimed to determining the current status of fish waste management strategies for Karwar city.In fish waste management fish waste by-product utilisation, waste fish oil was used as raw material for Biodiesel production.It has 2 stage processes; esterification and transesterification were applied to convert waste fish oil to biodiesel and also to produce biogas from fish waste.

In this study, an IOT-based bridge safety monitoring system is developed using the WSN technology.The advent of ultra-technological devices in our day to day lives has made us smart and efficient.Advancements in sensor technology have brought the automated real-time bridge health monitoring system such system will help in disaster management and recovery.IOT-based bridge safety monitoring system is developed using the WSN Technology.By the use of wireless sensor nodes, various types of data can be collected like weather conditions, sound, and air quality and data of high priority structures.Such data would also be useful monitoring and surveillance.The main aim of this paper is to develop a system that can prevent accidents or structural disasters of flyovers and bridges.This paper gives the survey of various techniques used to monitor the conditions of the bridges and proposed a system for monitoring continuous structures and an ultrasonic sensor for monitoring the water level in the river to avoid traffic from a bridge in flood conditions.The detected data are transmitted to the…

Friction Stir Welding (FSW) is a solid state joining process which possesses a great potential to revolutionise the aerospace industries.Distinctive materials are selected as aerospace alloys to withstand higher temperature and loads.Sometimes these alloys are difficult to join by a conventional welding process but they are easily welded by FSW process.The FSW process in aerospace applications can be used for: aviation for fuel tanks, repair of faulty welds, cryogenic fuel tanks for space vehicles.Eclipse Aviation, for example, has reported dramatic production cost reductions with FSW when compared to other joining technologies.This paper will discuss about the mechanical and microstructure properties of various aerospace alloys which are joined by FSW process.

Column is supposed to be a vertical member starting from foundation level and transforming the load to the ground.The term floating column is also a vertical element whose end at its lower level rests on a beam which is a horizontal member.The beam in turn transfers the load to other columns below it.Load comings on a beam from a column of this type are considered as a point load.Construction of floating columns may be necessary due to architectural design or site situation.Theoretically such structures can be analyzed and designed.The beam on which a floating column rests is called as transfer beam.Floating columns are widely used in multistoried buildings.Buildings with floating columns are found both in residential and commercial sectors.Use of floating columns helps to alter the plan of the top floors to the convenience of planners and users.The transfer beam that supports the floating column must be designed very carefully and provided with necessary reinforcements.An ordinary column transfers the load to the foundation which in turn distributes the load to the subsoil.But a…

Nature Tourism is an industry that is currently thriving and a lot of tourists visit places abundant in flora and fauna.A lot of times while hiking, tourists come across exotic looking flowers that mesmerize them but they are unable to discern what species the flowers belong to.The system proposed in this paper can help nature enthusiasts identify these flowers correctly.The proposed system examines the various features of the flower and identifies it by retraining models on flower datasets, using transfer learning methods.A review of three convolutional neural network models pre-trained on the ImageNet dataset, using the TensorFlow backend, was conducted to suggest the superior algorithm for flower classification systems in order to identify plant species accurately.The system was then implemented in the form of an Android mobile application that provides relevant information along with the species and family of the flower.

We are living in the surge of the internet and many technological trends, And in those technological trends one which is Artificial Intelligence. Research into artificial intelligence has become the prime area with which we know where actually the Artificial intelligence technology can be used in various sectors of the businesses. The Artificial Intelligence is the single biggest technology revolution which is disrupting throughout the banking and finance industry and implications of the rise of the Artificial Intelligence on the banking industry.

This paper describes Programming Logic Controller (PLC) based elevator control system.An elevator is one of the important aspects in electronic control module in automotive application.The system mainly focuses on using PLC to control the circuit and building the elevator model.Proximity sensor is used to detect the metal.DC motor is used to control up and down movement of the elevator car.Push buttons are used to call the elevator car.The elevator position is described by using the display unit.Arduino UNO is used to drive the seven segment display unit.Ladder Diagram is used for four floors control system.PLC gives the command to the relays.Relays operate the DC motor in forward direction and reverse direction.Based on this relay operation, elevator is move up and down.

This study focuses on the assessment of 2air pollution tolerance index (APTI) of 21plant species commonly found along roadsides in Ambo town, west showa, Ethiopia. The plants were evaluated in terms of APTI by analyzing four different biochemical parameters: leaf relative water content (RWC), ascorbic acid content (AA), total leaf chlorophyll (TCh) and pH of leaf extract. From Air pollution tolerance index (APTI) resultsit was noted that only two (9.52%) out of total 21 plant species designated as "Tolerant" and 9 species (42.85%) were designated as "Intermediate" and rest of the 10 species (47.61%) were categorized as "Sensitive".Highest air pollution tolerance index was found with Jacaranda mimosifolia (35.28) followed by Schinus molle (35.21) which were designated as "tolerant" species whereas least air pollution tolerance index was associated with Croton macrstachs (12.28) followed by Olea Africana (13.25) which are designated as "sensitive" species.Species with lower APTI value are considered sensitive species, which can be used as a biological indicator for further monitoring…

In today's world the field of cyber security is a hotline.As the digital world is growing to its mass extend the security related to it is also on the peak verge of exploitation and vulnerable.So the domain of Computer security, cyber security has become a major topic to be concerned about.The mass cyber attacks have been detected and has done a great loss of money , capital and various type of resources in that domain .There are very few prevention techniques that are implemented when the model is designed on a big platform and these are not maintained at all.The paper describes a technique that is used for detecting vulnerability (XSS) in the web applications that are poorly constructed and can be easily targeted to a system attack and possible exploitation.

Fake news, alternative facts are associated to each other since the time news was transmitted using news papers or radio.The fake news most recently came to light when the US Presidential election was underway.There have been several hoax stories where citizens, governments as well all other social elements are all affected by these stories.Facebook has been the amidst the controversy by the media houses for targeting the audiences and showing them posts to their support.This paper focus on detecting fake news with the help of various python libraries in association with counting features using ngrams and tf-idf .The system will be taking input from the user and then compare them with an existing data-set.We have compared various algorithms to find out the best working model that will fit our project and give a proper prediction for fake news.

Cloud computing now easily tops any list of topics in computer science because of its far reaching involvements in many areas in computing, especially Big Data.Moreover, It is a one of the most emerging technology due to the provision of various computing infrastructure and services.Cloud computing has evolved through a number of phases that include mainframe computing, cluster computing, and grid computing, parallel computing, distributed computing and utility computing.Cloud computing is often considered the successor of grid, cluster and, mainframe computing.Cloud computing is the delivery of many services through the Internet.These resources include tools and applications like databases, infrastructure, platforms, data storage, servers, networking, and software.Many people and businesses use cloud for a number of reasons including cost savings, increased productivity, speed, efficiency, high performance, scalability, high computing power and security.This paper presents the definition of cloud computing, its characteristics, different cloud services and various platforms that…

Biodiesel is an inexhaustible, clean consuming substitution to India reliance on remote oil, and making employments.It is set up from a different feedstock's including creature fats.The word biofuel covers a wide scope of creation, some of which by and by industrially accessible and some of which are still in research and advancements.Biodiesel powers wrecks to 75% cleaner than diesel fuel.Biodiesel, as it were, decreases unburned hydrocarbons, carbon monoxide and particulate issues from the fumes gas.A sulfur dioxide outflow is totally dispensed with, 80% less carbon dioxide and gives a 90% decrease in disease dangers.In this investigation the principle point is to lessen the expense of biodiesel by utilizing milk rubbish.Biodiesel is ordinarily delivered by the transesterification procedure.Also, the transestrification are two sorts that acid transesterification and basic transesterification.Which sulfuric acid utilized for acid transesterification and KoH or NaoH utilized for basic transestrification.After delivered biodiesel, at that point refinement process is required.What's…

In Computer Vision and image processing field, understanding the actions of human from videos is demanding task. Humans performing the actions in the video is automatically cognized and designating their actions is the prime purpose of astute video systems. Its motive is to acknowledge the actions and objectives of one or more multiple objects from a series of examination on the action of objects and their environmental condition. Human action recognition has gained popularity because of its wide applicability varying from Content-based Video Analytics, Visual Surveillance and Video Indexing etc. This paper depicts survey on person to person interaction, single person and multiple people action recognition and deciphers the methodologies and limitations of diverse methods for human action recognition are explored.

A blockchain is one type of a distributed ledger that consists of replicated, shared, and synchronized data over the Internet.It is a distributed database of records of all transactions or digital event that have been executed and shared among participating parties.Blockchain is the backbone Technology of Digital CryptoCurrency, BitCoin.The bitcoin is a cryptocurrency and is used to exchange digital assets online.Bitcoin uses cryptographic proof instead of third-party trust for two parties to execute transactions over the internet.Each transaction protects through digital signature.As one of its first implementations, bitcoin as a cryptocurrency has gained a lot of attention.In this paper, we presented a organized investigation of blockchain and bitcoins Keywords: Blockchain, Bitcoin, CryptoCurrency I. INTODUCTION Blockchain technology was first introduced as Bitcoin's underlying technology but soon later its extendable capabilities have been recognized.The peer-to-peer cryptocurrency, Bitcoin, is a core innovation in the financial sector nowadays.Its underlying technology,…

In this day and age we are in front of most complex safety problems connected to environment.Many things which are made-up for our comfortable life are accountable for polluting environment due to offensive waste management technique.The present exploration assesses the merging of oyster shell in concrete.The consequence of oyster shell as fractional replacement of cement on the compressive strength (primary) of concrete has been investigated.Globally, over 150 countries produce cement and/or clinker, the primary input to cement.In 2001, the United States was the world's third largest producer of cement (90 million metric tons (MMT)), behind China (661 MMT) and India (100 MMT).This work reports an experimental procedure to investigate the effect of using oyster shell powder as partial replacement of cement.Tabby is a type of concrete made by burning oyster shells to create lime, then mixing it with water, sand, ash and broken oyster shells.Tabby was used by early Spanish settlers in present-day North Carolina and Florida, then by English colonists primarily in coastal South Carolina…

The principle target of this undertaking is to structure and actualize a bank locker security system dependent on a Fingerprint and OTP innovation.This can be utilized in bank, workplaces, and homes.In this system just the validated individual recuperate the records or cash from the locker spaces.In this security system unique mark and OTP is utilized.In this system first individual select client name and secret key and portable number.In the event that a client name and secret word matches, at that point Finger of individual will identify and store with ID.On the off chance that the ID gets coordinated, at that point the four-digit code will be sent on approved individual portable to open.So biometric and Bluetooth security is a bigger number of focal points than different system.This system can likewise make a log containing a registration and checkout of every client alongside fundamental data.