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Showing papers in "International journal of engineering research and technology in 2018"


Journal Article
TL;DR: Explicit formulas and graphs of few special functions are derived in this article on the basis of various definitions of various fractional derivatives and their applications are also reviewed in the paper, where the authors also review their applications.
Abstract: Explicit formula and graphs of few special functions are derived in the paper on the basis of various definitions of various fractional derivatives and various fractional integrals. Their applications are also reviewed in the paper.

140 citations


Journal Article
TL;DR: This paper proposes the first privacy-preserving mechanism that allows public auditing on shared data stored in the cloud, and exploits ring signatures to compute the verification information needed to audit the integrity of shared data.
Abstract: We believe that sharing data among multiple users is perhaps one of the most engaging features that motivates cloud storage. A unique problem introduced during the process of public auditing for shared data in the cloud is how to preserve identity privacy from the TPA, because the identities of signers on shared data may indicate that a particular user in the group or a special block in shared data is a higher valuable target than others. Abstract—With cloud storage services, it is common place for data to be not only stored in the cloud, but also shared across multiple users. However, public auditing for such shared data — while preserving identity privacy— remains to be an open challenge. In this paper, we propose the first privacy-preserving mechanism that allows public auditing on shared data stored in the cloud. In particular, we exploit ring signatures to compute the verification information needed to audit the integrity of shared data. With our mechanism, the identity of the signer on each block in shared data is kept private from a third party auditor (TPA), who is still able to publicly verify the integrity of shared data without retrieving the entire file. Our experimental results demonstrate the effectiveness and efficiency of our proposed mechanism when auditing shared data. mechanism for cloud data, so that during public auditing, the content of private data belonging to a personal user is not disclosed to the third party auditor.

72 citations


Journal Article
TL;DR: The Overview of E-commerce security, Understand the Online Shopping Steps to place an order, Purpose of Security in E- commerce and, Different security issues in Ecommerce, Secure online shopping guidelines are discussed.
Abstract: The E-commerce Security is part of the Information Security framework and is specifically applied to components that affect e-commerce that includes the Computer Security, Data security and other wider realms of the Information Security framework. E-commerce security has its own particular and is the highest visible to security components that affect the end user through their daily payment interaction with the business. E-commerce security is the protection of e-commerce is assets from unauthorized access, use, alteration, or destruction. Dimensions of e-commerce security-Integrity is common, Non-repudiation, Authenticity, Confidentiality, Privacy, Availability. E-Commerce offers the banking industry great opportunity of Ecommerce, but also creates a set of new risks and vulnerability such as security threats are over the internet. Still, its definition is a complex Endeavour due to the constant technological and in this paper we discussed the Overview of E-commerce security, Understand the Online Shopping Steps to place an order, Purpose of Security in E-commerce and, Different security issues in E-commerce, Secure online shopping guidelines.

64 citations



Journal Article
TL;DR: A comprehensive overview of LPT technology is presented from the point of efficiency optimization view and a survey of the efficiency optimization methods for HILPB system with regard to the laser and PV technologies is provided in detail.
Abstract: Laser power transmission (LPT) is one of the most promising technologies in the long-range wireless power transfer field. LPT research has been driven by the desire to remotely power unmanned aerial vehicles (UAVs), satellites and other mobile electric facilities. However, the low overall efficiency is the main issue that limits the implement of high intensity laser power beam (HILPB) system. As seen from the contemporary understanding of efficiency of laser power transmission channel, the efficiencies of laser and PV array are the main limiting factors to the HILPB system from the perspective of power conversion. Thus, a comprehensive overview of LPT technology is presented from the point of efficiency optimization view in this paper. First, the basic principles of laser power transmission are briefly summarized. Then, a survey of the efficiency optimization methods for HILPB system with regard to the laser and PV technologies is provided in detail. Additionally, the open issues and challenges in implementing the LPT technology are

55 citations


Journal Article
TL;DR: The system deals with monitoring and controlling the environmental conditions like temperature, relative humidity and CO level with sensors and sends the information to the web page and then plot the sensor data as graphical statistics and the data updated from the implemented system can be accessible in the internet from anywhere in the world.
Abstract: The system proposed in this paper is an advanced solution for monitoring the weather conditions at a particular place and make the information visible anywhere in the world. The technology behind this is Internet of Things (IoT), which is an advanced and efficient solution for connecting the things to the internet and to connect the entire world of things in a network. Here things might be whatever like electronic gadgets, sensors and automotive electronic equipment. The system deals with monitoring and controlling the environmental conditions like temperature, relative humidity and CO level with sensors and sends the information to the web page and then plot the sensor data as graphical statistics. The data updated from the implemented system can be accessible in the internet from anywhere in the world. KeywordsInternet of Things (IoT) Embedded Computing System; Arduino Software, ESP8266, Smart Environment.

49 citations


Journal Article
TL;DR: Here paper exhibits a presentation of Grid figuring giving intelligence into the brace components, terms, layout, Grid types, programs of matrix processing.
Abstract: The ultimate a few years there has been a brief good sized increment in pc preparing strain, correspondence, and information stockpiling. Framework is a foundation that consists of the coordinated and combination utilization of computers, databases, structures and exploratory instruments oversaw and claimed with the aid of particular institutions. Matrix figuring is a kind of conveyed registering wherein a \"tremendous and digital laptop\" is worked of a bunch of arranged, inexactly coupled computer systems, working in show to perform large undertakings. Here paper exhibits a presentation of Grid figuring giving intelligence into the brace components, terms, layout, Grid types, programs of matrix processing

45 citations


Journal Article
TL;DR: An ECG remote monitoring system that is dedicated to non-technical users in need of longterm health monitoring in residential environments and is integrated in a broader Internet of-Things (IoT) infrastructure.
Abstract: Many devices and solutions for remote ECG monitoring have been proposed in the literature. These solutions typically have a large marginal cost per added sensor and are not seamlessly integrated with other smart home solutions. Here we propose an ECG remote monitoring system that is dedicated to non-technical users in need of longterm health monitoring in residential environments and is integrated in a broader Internet of-Things (IoT) infrastructure. Our prototype consists of a complete vertical solution with a series of advantages with respect to the state of the art, considering both prototypes with integrated front end and prototypes realized with off-the-shelf components: i) ECG prototype sensors with record-low energy per effective number of quantized levels, ii) an architecture providing low marginal cost per added sensor/user, iii) the possibility of seamless integration with other smart home systems through a single internet-of-things

33 citations


Journal Article
TL;DR: The proposed deep-learning-based approach to detect leaf diseases in many different plants using images of plant leaves can effectively identified different types of diseases with the ability to deal with complex scenarios from a single shot Multibox Detector.
Abstract: Plant leaf diseases and destructive insects are a major challenge in the agriculture sector. Faster and an accurate prediction of leaf diseases in crops could help to develop an early treatment technique while considerably reducing economic losses. Modern advanced developments in Deep Learning have allowed researchers to extremely improve the performance and accuracy of object detection and recognition systems. In this paper, we proposed a deep-learning-based approach to detect leaf diseases in many different plants using images of plant leaves. Our goal is to find and develop the more suitable deeplearning methodologies for our task. Therefore, we consider three main families of detectors: Faster Region-based Convolutional Neural Network (Faster R-CNN), Region-based Fully Convolutional Network (R-FCN), and Single Shot Multibox Detector (SSD), which was used for the purpose of this work. The proposed system can effectively identified different types of diseases with the ability to deal with complex scenarios from a

33 citations



Journal Article
TL;DR: The sentiment analysis over twitter is very effective way to observe the feelings of public towards their brands, political news, business, and movies etc.
Abstract: The sentiment analysis over twitter is very effective way to observe the feelings of public towards their brands, political news, business, and movies etc. There are several methods to classify the datasets on the blogs. The datasets on twitter is added up with a feature that specifies the positives/negatives on it. The approach of predicting the sentiment has to be applied on the twitter datasets.

Journal Article
TL;DR: This work aims at using of Artificial Neural Network techniques to predict the stock price of companies listed under National Stock Exchange (NSE), using the past data of the selected stock for building and training the models.
Abstract: A stock market is a public market for the trading of company stock. It is an organized set-up with a regulatory body and the members who trade in shares are registered with the stock market and regulatory body SEBI. Since stock market data are highly time-variant and are normally in a nonlinear pattern, predicting the future price of a stock is highly challenging. Prediction provides knowledgeable information regarding the current status of the stock price movement. Thus this can be utilized in decision making for customers in finalizing whether to buy or sell the particular shares of a given stock. Many researches have been carried out for predicting stock market price using various data mining techniques. This work aims at using of Artificial Neural Network techniques to predict the stock price of companies listed under National Stock Exchange (NSE). The past data of the selected stock will be used for building and training the models. The results from the model will be used for comparison with the real data to ascertain the accuracy of the model.


Journal Article
TL;DR: The general workflow of cyber physical systems is abstracted, the possible vulnerabilities, attack issues, adversaries characteristics and a set of challenges that need to be addressed are identified and a context-aware security framework is proposed.
Abstract: In this paper, we investigate the security challenges and issues of cyber-physical systems. We abstract the general workflow of cyber physical systems, identify the possible vulnerabilities, attack issues, adversaries characteristics and a set of challenges that need to be addressed then we also propose a context-aware security framework for general cyber-physical systems and suggest some particular field in research field. KeywordsCyber-Physical System, Security, actuation ,context-

Journal Article
TL;DR: An air quality as well as sound pollution monitoring system that allows authorities to monitor and check live air quality in a particular areas through IOT and if system detects air quality and noise issues it alerts authorities so they can take measures to control the issue.
Abstract: Air and sound pollution is a growing issue these days. It is necessary to monitor air quality and keep it under control for a better future and healthy living for all. Here we 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 a particular areas through IOT. System uses air sensors to sense presence of harmful gases/compounds in the air and constantly transmit this data to microcontroller. Also system keeps measuring sound level and reports it to the online server over IOT. The sensors interact with microcontroller which processes this data and transmits it over internet. This allows authorities to monitor air pollution in different areas and take action against it. Also authorities can keep a watch on the noise pollution near schools, hospitals and no honking areas, and if system detects air quality and noise issues it alerts authorities so they can take measures to control the issue.

Journal Article
TL;DR: In this article, partial replacement of E-waste with coarse aggregate was attempted and the results showed that a significant improvement in compressive strength was achieved in the Ewaste concrete compared to conventional concrete and can be used effectively in concrete.
Abstract: Electronic waste is an emerging issue posing serious pollution problems to the human and the environment. The disposal of which is becoming a challenging problem. For solving the disposal of large amount of E-waste material, reuse of Ewaste in concrete industry is considered as the most feasible application. Due to increase in cost of normal coarse aggregate it has forced the civil engineers to find out suitable alternatives to it. E-waste is used as one such alternative for coarse aggregate. Owing to scarcity of coarse aggregate for the preparation of concrete, partial replacement of E-waste with coarse aggregate was attempted. The work was conducted on M20 grade mix. The replacement of coarse aggregate with E-waste in the range of 0%, 5%, 10%, 15%, and 20%. Finally the mechanical properties and durability of the concrete mix specimens obtained from the addition of these materials is compared with control concrete mix. The test results showed that a significant improvement in compressive strength was achieved in the E-waste concrete compared to conventional concrete and can be used effectively in concrete. The reuse of E-waste results in waste reduction and resources conservation.


Journal Article
TL;DR: This paper presents a detailed analysis of Transformer failure reasons and methods in conjunction with a real time data of the electrical transmission and distribution system to find the reasons and its remedies for better capacity utilization and reliability.
Abstract: This paper presents a detailed analysis of Transformer failure reasons and methods in conjunction with a real time data of the electrical transmission and distribution system to find the reasons and its remedies for better capacity utilization and reliability. The analysis is carried out using data collected from one zone of a city based substation having four circles of Punjab state power corporation limited (PSPCL). The analysis is carried out in accordance with IEEE standards and summarized to present the reasons and possible remedial measures for prevention of transformer failures. Keywords— Transformer failure, insulation failure, harmonics, power quality (PQ), distribution transformers.


Journal Article
TL;DR: The maximum power point tracking (MPPT) technique for increasing the output voltage of the photovoltaic (PV) system is presented and the Simulation result from MATLAB/SIMULINK is presented to verify the performance of the converter.
Abstract: This paper presents the maximum power point tracking (MPPT) technique for increasing the output voltage of the photovoltaic (PV) system. In order to increase the output voltage of the system, boost converter is connected to the PV system. However, when connecting the boost converter to the PV system the voltage value at the output equal to the input voltage. According to the principle of boost converter, output voltage must be higher than the input voltage. The output voltage depends upon the switching frequency and duty cycle of the converter, as to increase the output voltage of the PV system based on boost converter characteristics. The control strategies can be used based on the combination between the Particle Swarm Optimization (PSO) method and the Proportional Integral (PI) controller that strategies can be extract the maximum power from a PV system. The PI Controller is used to tracking the maximum power from the PV panel, at different atmospheric condition. The Solar PV power generation system is comprised several elements like solar panel, DC-DC converter, MPPT Control Strategies and load. The Simulation result from MATLAB/SIMULINK is presented to verify the performance of the converter. Keywords— Photovoltaic (PV) system; Maximum Power Point Tracking (MPPT); DC-DC Boost Converter; Proportional Integral (PI) and Particle Swarm Optimization (PSO).


Journal Article
TL;DR: The need for manual toll based systems is completely reduced in this methods and the tolling system works through RFID, which is quite expedient reducing the time and cost of travelers since the tag can be deciphered from a distance.
Abstract: Automatic Toll Tax systems have really helped a lot in reducing the heavy congestion caused in the metropolitan cities of today. It is one of the easiest methods used to organize the heavy flow of traffic. When the car moves through the toll gate on any road, it is indicated on the RFID reader that it has crossed the clearing. The need for manual toll based systems is completely reduced in this methods and the tolling system works through RFID. The system thus installed is quite expedient reducing the time and cost of travelers since the tag can be deciphered from a distance. General Terms:RFID,JVM, CGI , RTO, CLI

Journal Article
TL;DR: New public-key cryptosystems which produce constant-size cipher texts such that efficient delegation of decryption rights for any set of cipher texts are possible are described, giving the first public- key patient controlled encryption for flexible hierarchy.
Abstract: Data sharing is an important functionality in cloud storage. In this article, we show how to securely, efficiently, and flexibly share the data with others in cloud storage. We describe new public-key cryptosystems which produce constant-size cipher texts such that efficient delegation of decryption rights for any set of cipher texts are possible. The novelty is that one can aggregate any set of secret keys and make them as compact as a single key, but encompassing the power of all the keys being aggregated. In other words, the secret key holder can release a constant-size aggregate key for flexible choices of cipher text set in cloud storage, but the other encrypted files outside the set remain confidential. This compact aggregate key can be conveniently sent to others or be stored in a smart card with very limited secure storage. We provide formal security analysis of our schemes in the standard model. We also describe other application of our schemes.In particular our schemes give the first public-key patient controlled encryption for flexible hierarchy, which was yet to be known.

Journal Article
TL;DR: This project mainly focus on detection of vehicle accident and help in tracking the exact location of vehicle and the position where accident occured and microcontroller AT89s51 is the main part of this project.
Abstract: In Today's life the use of vehicle and advance technology is growing very fastly because of this there is both the advantages and the disadvantages. The advancing technology has increased lot of vehicle accident which results in lot of life loss. The main purpose of our project is to mainly focus on detection of vehicle accident and help in tracking the exact location of vehicle and the position where accident occured. Location parameters such as longitude and latitude are sent through SMS. Microcontroller AT89s51 is the main part of our project around which all other part works and we monitored the above-mentioned parameters through the microcontroller for accident detection. For the measurement GPS modem is used which determine the exact location of vehicle and provide correct coordinates. Hence, we have used SR86 GPS modem. GSM modem sends alert sms after receiving exact location from the GPS.The main part of our project is microcontroller AT89s51.16×2-line crystal display is used showing current status. The interfacing of GPS & GSM modem and microcontroller AT89s51 is done by using MAX232 IC. This MAX232 IC is used for sending the data to the GPS and GSM modem also. Power module supplies 5V power with help of IC7805. Here EEPROM AT24C16 is also used for storing the family members number and the emergency numbers. As a improvement we have also used alcohol sensor which will monitored the level of alcohol consumed by the driver and give alert message if the alcohol level is found more than the level which was set. For further scope we can also add web camera in it so it can provide the accurate situation of the driver.


Journal Article
TL;DR: In this article, a review of the potential benefits of nanotechnology to the environment is presented, showing that nanotechnology can provide significant improvement by providing their role in monitoring, pollution prevention and remediation methods.
Abstract: This paper addresses Nanotechnology can deal with environmental application such as contaminated water and air treatment, self-cleaning materials, energy applications, novel functionalized adsorbents for environmental, industrial applications and nonmaterial’s for sustainable energy production. Nanotechnology can add significant improvement by providing their role in monitoring, pollution prevention and remediation methods. This paper aims at determining wellresearched ways in which this new technology can benefit the environment through an extensive literature review. Outcome of the review show that nanotechnology, when used properly, has tremendous potential benefits to the environment in many ways. As an illustration on the environmental front, nanotechnology is found nonmaterial use for soil and ground water remediation with help of nanoparticles. Environmental applications of nanotechnology address the development of solutions to the existing environmental problems, preventive measures for future problems resulting from the interactions of energy and materials with the environment, and any possible risks that may be posed by nanotechnology itself. Keywords— Dynamic load, finite element, isotropic load, dynamic load

Journal Article
TL;DR: In this article, the need of soil moisture sensors in irrigation, sensor technology and their applications in different aspects of agriculture and in irrigation scheduling are reviewed, and the aim of this paper is to review the need and application of sensor technology in irrigation.
Abstract: The growing water demand has raised serious concern to the future of irrigated agriculture in many parts of the country. Therefore, the knowledge of crop water demand is an important practical consideration to improve the water use efficiency in irrigation practices. The traditional irrigation systems provide unnecessary irrigation to one part of a field while leading to a lack of irrigation in other parts. Changing environmental conditions and shortage of water have led to the need for a system which efficiently manages irrigation of fields. The aim of this paper is to review the need of soil moisture sensors in irrigation, sensor technology and their applications in different aspects of agriculture and in irrigation scheduling. Keywords— Agriculture; Irrigation; Soil moisture sensors

Journal Article
TL;DR: This paper aims on domain based sentiment analysis in Regional language specific to movie susing machine learning algorithm for classification and provides a comparison between analysis using direct Kannada dataset and machine translated English language.
Abstract: Sentiment analysis (SA) is one of the important fields of Machine learning Language which involves analysis using natural language processing. The main goal of sentiment analysis is to detect and analyze attitude, opinions or sentiments in the text. Sentiment analysis has reach edits popularity by extracting Knowledge from huge amount data present online. The Process of analysis includes selecting features and opinion which is a challenging task in languages other than English. There are very few research works done for determining sentiments in regional languages. This Paper aims on domain based sentiment analysis in Regional language specific to movie susing machine learning algorithm for classification and provide a comparison between analysis using direct Kannada dataset and machine translated English language.

Book ChapterDOI
TL;DR: This research work offers a mix PSO-ANN predictive model for fly-rock prediction, built on the mixture of particle swarm optimization and artificial neural network to predict fly-rocks.
Abstract: Fly-rocks are the excessive rock fragments. There random throw from a blast can travel a large distance which may be beyond the blast safety area. This process of the blasting operation results in human injuries, fatalities, and structural damage. In this research work, a method is proposed to predict the fly-rocks. This approach is built on the mixture of particle swarm optimization and artificial neural network. Here ANN is used to predict fly-rock distance. Generally, ANN is used as one of the forceful areas of research in advanced and varied applications of science. ANN has the ability to right to map the input to output patterns. Also, it utilizes all influential parameters in case of prediction of fly-rock distance. But, there are still some limitations concerned to ANN, i.e., the rate of slow learning and getting stuck in local minima. This research work offers a mix PSO-ANN predictive model for fly-rock prediction. The results of the developed model are compared to the results of ICA-ANN, BP-ANN, empirical equation, and multivariate regression analysis (MRA). The parameters for comparison are root mean square error, coefficient of determination (R2), and least cost. These parameters are firstly calculated by comparing testing and training data from ANN. These parameters are then compared with that of the existing methods, i.e., ICA-ANN, BP-ANN, empirical equation, and multivariate regression analysis (MRA). MATLAB R2013a is used as an implementation platform using general MATLAB toolbox.

Journal Article
TL;DR: This paper focuses on recent developments in machine learning which have made significant impacts in the detection and diagnosis of diabetes.
Abstract: Diabetes is a one of the leading cause of blindness, kidney failure, amputations, heart failure and stroke. When we eat, our body turns food into sugars, or glucose. At that point, our pancreas is supposed to release insulin. Insulin serves as a “key” to open our cells, to allow the glucose to enter -and allow us to use the glucose for energy. But with diabetes, this system does not work. Several major things can go wrong – causing the onset of diabetes. Type 1 and type 2 diabetes are the most common forms of the disease, but there are also other kinds, such as gestational diabetes, which occurs during pregnancy, as well as other forms. This paper focuses on recent developments in machine learning which have made significant impacts in the detection and diagnosis of diabetes. KeywordsDiabetes, Type 1 Diabetes, Type 2 Diabetes, Insulin, Glucose, Machine Learning.