Journal of Web Engineering & Technology (JoWET) ISSN: 2455-1880 Click here for complete Editorial Board Scientific Journal Impact Factor (SJIF): 5.209 Journal of Web Engineering & Technology (JoWET) is a journal focused towards the rapid publication of fundamental research papers on all areas of Web Engineering & Technology. It's a triannual journal, started in 2014. Journal DOI no.: 10.37591/ JoWET Focus and Scope Cover Systems analysis and design Hypermedia/hypertext engineering Web Engineering tools & Methods Modeling and model-based design and development Navigation and hypermedia Web design patterns and pattern mining Web application evaluation, verification and validation Web engineering for wireless platforms Web standards, usability, universal accessibility, Semantic Web Specification languages, management, negotiation and monitoring mechanisms. Microsoft .NET, Sun One, IBM Web Sphere, Oracle Internet Application Server. [Mobile] web services, service-based approaches Performance monitoring, evaluation metrics Application frameworks/architectures, processes, methodologies, testing Readership: Graduate, Postgraduate, Research Scholar, Faculties, Institutions, and in IT Companies. Indexing: The Journal is index in DRJI, Google Scholar Submission of Paper: All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance. Manuscripts are invited from academicians, students, research scholars and faculties for publication consideration. Papers are accepted for editorial consideration through email info@stmjournals.com or nikita@stmjournals.com Abbreviation: JoWET Frequency: Three issues per year Peer Reviewed Policy Editorial Board Instructions to Authors Publisher: STM Journals A division of: Consortium eLearning Network Private Ltd Address: A-118, 1st Floor, Sector-63, Noida, Uttar Pradesh-201301, India Phone no.: 0120-4746-214/ Email: nikita@stmjournals.com
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An Implementation of Maintaining Database and Generating Report using K-Means Algorithm
This is a sponsored project from Electronics Testing and Development Center (ETDC), a government organization which works under Standardization Testing and Quality Certification (STQC), Government of India, and provides quality assurance services in the area of electronics and IT through countrywide network of laboratories and centers. Automation of testing and calibration of electronic instruments will assist ETDC in providing these services in a better way by generating report and maintaining history of customer and electronic instruments on web-based paperless system. For generating report, the authors have applied data-mining algorithm as k-means algorithm. Keywords: K-means algorithm, data mining
Optimized Test Suites with Small Code Coverage in Software Testing
A common scenario in software testing is to test the data is to be generated and tester manually adds test oracles.It meausured using code coverage and fundamental problemwith common apporach is coverage the goals and how an of them are feasible. In this whole test suites are evovled covering all goals at same time.Its effectiveness not added by number of infeasible targets in code.It has a novel approach in approach Evosuote Tool and it achieved upto 188 times branch coverage in traditional approach targeting single branch strategy with upto 62% samaller test suites.In software testing many testsuites are used to debug a program to over come the testsuites Evosuite Tool was implemented tocoverage goala as well as But the problem is targeting one coverage goal at a time is not feasible and code coverage is also high. In order to overcome this problem generating new test suites with the help of Evosuite tool which covering all coverage goals as well as coverage code is small. Keywords: Search based software engineering, branch coverage, infeasible goal, collateral coverage genetic algorithm.
Text mining refers to the process of extracting interesting, non-trivial information and knowledge from unstructured text. The challenging issue is to find accurate cognition or characteristics in text documents to help users to find what they want. Many term-based methods solved this but later suffered from the problems of polysemy and synonymy where polysemy means a word has multiple meanings and synonymy is multiple words having the same meaning. Later phrase-based approaches served well, as phrases may carry more “semantics” like information. The performance of it decreases due to phrases having inferior statistical properties to terms, low frequency of occurrence, and large numbers of redundant and noisy phrases among them. To overcome this pattern mining-based approaches have been proposed, which include the concept of closed sequential patterns, and pruned non-closed patterns. These pattern mining-based approaches worked with effectiveness. The contradiction is people think pattern-based approaches are significant alternative, but less improvements is made for the effectiveness compared with term-based methods. Keywords: Text mining, closed sequential patterns, pruned non-closed patterns, taxonomy discovery model, term based, phrase based
An Evolution of the Pixel Embedding Techniques in Image Based Adaptive Steganography
The word “Steganography” was basically derived from the Greek words with the meaning “covered writing.” This paper presents some of the main adaptive image steganography approaches. Many algorithms have been presented; in almost all the algorithms the approach is to embed the secret data in the images. Here we are discussing about adaptive steganography which is based upon spatial domain and frequency domain with an additional layer of mathematical model. The embedding and extracting processes of the algorithms have been discussed General Terms: Adaptive steganography, security, image processing Keywords: Substitution techniques, human visual system (HVS), discrete cosine transform (DCT), integer wavelet transforms, BPCS (bit-plane complexity steganography), adaptive least-significant-bit (LSB) substitution, pixel-value differencing (PVD), image contrast; mod-4embedding, HVS features, leastsignificant- bit (LSB), adaptive pixel pair matching (APPM)
Online Learning Algorithm for Multi-Kernel Balancing of Computational Work Load
The online learning is an advancement made toward the extended machine learning approach where the application is web-based. Thus, the common problem to build a kernel based online perceptron algorithm is the amount of memory required to dynamically access for the so formed hypothesis derivable from the algorithm. As it tends to increase without a lower bound; also the computational load of such an algorithm increases linearly with the memory chunk used to build the hypothesis. Though, the previous works are focused towards discarding the instances of online hypothesis from the perceptron algorithm in order to reserve the computational work load within the bounded memory. Therefore, in this study we presented a work which dynamically creates an Online Chain Reaction Algorithm (OCRA) for keeping the checkpoint trees of hypothesis with the varying memory instances; which makes the online learning more dynamics and invariant of the pre-requisite amount of memory required. Keywords: online learning, kernel methods, distributed computation workload
A Survey on Different Clustering Algorithms with Their Major Features
Data mining techniques make it possible to search large amounts of data for characteristic rules and patterns. Clustering is used to organize data for efficient retrieval. The aim is to create homogeneous subgroups of examples. The individuals in the same subgroup are similar; the individuals in different subgroups are as different as possible. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering is based on K-means such that the data is partitioned into K clusters. K‐means is a clustering (unsupervised learning) algorithm. In this method, the number of clusters is pre defined and the technique is highly dependent on the initial identification of elements that represent the clusters well. But we cannot change number of cluster at mid of execution of algorithm. But in k-mean, important factor is that how many clusters we should take, it may be less and it may be more. This paper gives an overview of different clustering algorithms used in large data sets. It describes about the general working behaviour, and the methodologies followed on these approaches and the parameters which used in these algorithms with large data sets. Keywords: Data-mining, association, clustering
Impact on Wormhole Attack Using Label Based DV- Hop Localization in Wireless Sensor Networks
Localization of a node is an important issue in the wireless sensor network as its broad applications in monitoring, emergency rescue operations and battlefield surveillance, etc. Many localization schemes has been used to discover the locations of sensors using beacon nodes, as they are assumed to know their locations through GPS or manual configuration. DV-Hop localization process performs well with the help of beacon nodes that have the ability of self-positioning. But, the localization process is vulnerable to various malicious attacks, one such attack is wormhole, if the network is invaded by a wormhole attack, the attacker tunnels the packets through wormhole link which causes adverse effects on the DV-Hop localization process. Detection of wormhole attack is a particularly challenging, as the adversary does not need to compromise any nodes or have access to any cryptographic keys. In this paper, we analyze the adverse effects of wormhole attack on DV-Hop localization scheme. Simulation results shows secure localization labeling scheme and which detects wormhole attack and prevent its impacts with a high probability. Keywords: Wireless sensor networks, DV-Hop localization, wormhole attack, beacon node, sensor node
This paper is discussed over the project loon that was started by the Google’s research team to provide the internet for all the remaining peoples on earth that still doesn’t has the facility of connectivity with rest of the world. It is a balloon powered internet for everyone. Many of us think of the internet as a global community. But two-thirds of the world’s population does not yet have internet access. Project Loon is a network of balloons travelling on the edge of space, designed to connect people in rural and remote areas, help fill coverage gaps, and bring people back online after disasters. Keywords: Project loon, internet, edge of space
An Efficient Color Method for Retrieving Color-based Images
Image retrieval plays a vital role in many of the areas. CBIR is content-based image retrieval for browsing images from a large dataset. Image retrieval is used in many of the applications such as image processing, pattern recognition, military, medical fields and forensic fields. In the proposed image retrieval method, color method is used to extract the features and retrieve similar images based on similarity of features. In the color method, HSV color histogram method is used to extract the color features. After extracting, the features are compared with the database images and distance is calculated using the Euclidian distance method. Finally similar images are retrieved according to the user satisfaction. Performance of the system is calculated using the processing time, execution time, precision and recall rate metrics. Keywords: CBIR (content based image retrieval), color-HSV, processing time, execution time, recall, precision
A Survey Paper on Estimating the Online Social Networking Site
A social network is a set of people or organizations or other social entities connected by set of social relationships such as friendship, co-working or information exchange. Estimating the server load of online social network sites is the most challenging research topic of the network management system. Also the online social web servers are existing in various countries. This Paper provides the necessary background on the online social networking sites and the Techniques that are applied on social networking sites to maintain them. Keywords: Online social media, online social networking, human Factor, information System
Personalized Web Search Over Encrypted Databases
This paper involves the study of every user as the internet having an interest on his personalized personal search. To personal search the web content data on encrypted data bases and performing related data, collection data tasks while preserving data confidentiality is a desirable capability when a database is stored on a server maintained by a third-party service provider. This paper addresses the problem of enabling personalized web content-based collection data over encrypted and encoded web content stored in databases. Personal search front pages, along with web content documents, are first encrypted by the content owner and then stored onto the server. Through jointly applying cryptographic methods and procedures, such as RSA alg and cryptography methods and procedures, such as order preserving encryption and randomized hash functions, with image processing and related data collection data methods and procedures, secure front paging schemes are designed to provide both privacy protection and rank ordered personal search capability. Results on an encrypted color image server and database and security analysis of the secure front paging schemes under different attack models show that data confidentiality can be preserved while retaining very good collection data performance. This work has promising applications in secure web content management. Keywords: Electric data image documents collection data, personal secure personal search, visual words power, min-hashing
Live Health Monitoring System Using Internet of Things
Health is a condition of complete physical, mental and social prosperity and not only the shortfall of infection or illness. Healthis the degree of valuable and metabolic power of a living organic entity. Nowadays death rates are increasing owing to sudden heart attack. Annually 7 lakhs sudden cardiac death (SCD) cases occur in India. Periodic medical check-up is required to monitor the heart patient’s body condition. The existing method only used inside the hospital and not portable and not wearable. The major drawback is some heart patients may die due to lateness in medication. Our main objective is to overcome this drawback by tracing heart patients live health details with the aid of sensors and internet. The live health monitoring system track the health details of heart patient's heart rate, oxygen level in the blood and temperature in the normal condition or abnormal condition and current location. Any abnormal changes the heart patient health details and location are send the Blynk server. Blynk app can also track the patient’s location using the map which is available in the Blynk application. The Blynk server is connected to Blynk app so we can see any time these details in our mobile. If system detects any abrupt changes in patient’s heart rate or temperature, the system will send the information and current location to patient’s relation or family doctor. If any emergency situation the message will send automatically to the heart patient caregivers. This project will helpful to reduce death rates and rescue those who are affected by sudden heart attack, safely medicated at correct time. This article explains about the idea in the field of health in order to save the peoples those who are in danger due to sudden heart attack by designing a wearable device which can sent the notification to the doctor or to his/her guardian when he/she is in danger with the help of Internet of Things.
Improved Double Layer Encryption Algorithm of Secret Codes in Steganography
Steganography is the way of hiding information to secure data for safer communication to take place. It is a process where the information is hidden in another format may be an image, voice, or video. Various other different file formats can be used, like JPG, JPEG, MP3, etc., but digital images are the most popular and considered the best ones because of the frequency they provide on the Internet to the users. For hiding secret information in image format, various stenographic techniques can be used these days. Different applications require different options of the steganography technique that is used. Some applications that are used for this purpose require complete invisibility of the secret information while some of them require a large secret message that must be hidden. This project focuses on providing an overview of what is image steganography, its uses and the techniques used by steganography, and how it will provide double security to the user. For a more secure and a protected approach, the project encrypts the message using a two-level secret key and then sends it to the receiver. The receiver then decrypts the message to get the original one with the help of the images. This project implementation will include hiding the text message/code in an image file, then encryption (the process of hiding) of the same message will be done, to support and make it more secure steganography and the decoding of the secret message, decryption and source message/code retrieval will be there with the help of the image.
Real-time Malicious URL Detection Using Machine Learning
In malicious URLs (universal resource locators)discovery, antiquated classifiers are tested because of the information volume is enormous, designs are dynamical over the long haul, and furthermore the relationships among choices are modern. Feature engineering plays a crucial role in addressing these issues. To raised representation, the underlying the drawback and improve the performances of classifiers in characteristic malicious URLs.This paper proposes a mixture of linear and non-linear house transformation strategies. This paper proposes machine learning based mostly on the approach to scrutinizing universal resource locator instead of linear approaching of saving information and examination 33,1622 URLs with 62 options were collected to validate the planned feature engineering strategies.
Augmented Reality Navigation for College Campus
We all already knows and used every time the outdoor navigation system which are based on GPS technology, but this is not possible for indoor navigation so with the help of augmented reality technology, we develop indoor navigation application which can be deployed in large buildings like hospital, college campus, airport and guide visitors to reach the desired destination point. With the help of this application, user get guided instructions like when he have to moved left, right or go straight and reach the destination location without any trouble. There is the navigation of the path in our system from starting position to the destination where the user wants to reach his destination with navigation system assistance. The user selects the location where he/she wants to reach in the campus, scans his/her current location and scans the beginning position. The 3D augmented visual pointing arrows on the device attendant the user to reach the desired location or destination point. The whole system was developed using Unity and Android Studio along with some other platforms, and will be ready to use in Android operating system. This is new thing and an innovation for the local users of the Android and Unity. This project totally be used for simulations and user interactions as a developing platform.
Change in Education Scenario Due to COVID–19
Challenges of Covid-19 and Changed Form of Education Process: An Exploration India not only the whole world is facing an unprecedented difficulty due to the 'Covid-19' epidemic.The lockdown led to the closure of all educational institutions, disrupting teaching. In order to ensure the smooth dissemination of knowledge, all educational institutions from school to university have to adopt alternative educational online learning, which is called digital learning, e-learning, web-based learning, virtual space learning, remote learning, distance learning or home education. Etc. are also known by names.In this way, Corona has forced us to work from the virtual platform (which is new to most) in place of the traditional real-world platform (in which we are more comfortable). A large number of students and teachers have shown eagerness in receiving new ways of online education, nevertheless many limitations. They are getting involved in online learning through forms of discussion, homework, providing digital study material and to some extent assessment, so they are eligible to be congratulated for accepting online education only to some level.
Positive Impact of Covid-19 on Education
Negative Impacts of Covid-19 on Education
Abstract Web analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. However, Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a website. Web analytics applications can also help companies measure the results of traditional print or broadcast advertising campaigns. It helps one to estimate how changes traffic to a website after the launch of a new advertising campaign. Web analytics provides information about the number of visitors to a website and the number of page views. It helps gauge traffic and popularity trends which is useful for market research. A business needs it to collect the data about on-going activities, results, and effects of policies and strategies, etc., when it comes to online marketing. Web analytics comes to help to do this. Web analytics is used to determine the performance of investments assigned in terms of online advertises customers, and Business profitability, Web analytics plays an important role in calculating ROI of your business. This paper is intended to study the adoption of Business Intelligence (BI) with special emphasis on Mobile BI, in various fields during past 10 years and highlights the challenges faced by users in implementing the MBI in business intelligence. The study also emphasized on relationship between MBI and big data analytics, application of MBI, difficulties in using the MBI tools.
Review: IoT-based Real-Time Air Pollution Measurement for Jabalpur Smart City
Abstract Humans are adversely affected by air pollution which is why health-based standards and objectives for the number of pollutants in the air are set by each country. Detection and measurement of the contents of the atmosphere is becoming increasingly important. Careful planning of measurements is essential. One of the major factors that influence the representation of data collected is the location of monitoring stations. The planning and setting up of a monitoring station are complex and incurs a huge expenditure. An IoT-based real-time air pollution monitoring system is proposed to monitor the pollution levels of various pollutants in Jabalpur city. The geographical areas are classified as industrial, residential, and traffic zones. This paper proposes an IoT system that could be deployed at any location and store the measured value in a cloud database, perform pollution analysis, and display the pollution level at any given location.
Opinion Mining through Enhanced Lexicon Approach
Abstract The World Wide Web’s rapid growth has enhanced online communication. One of the approaches to putting user views is the use of social networking sites. The user’s opinion needs to be analyzed by studying user’s input text using techniques of machine learning with subjectivity, emotion, sentiment analysis or polarity calculation. Most of the existing work in the field of opinion mining has largely focused on identifying sentiment polarity as positive, negative, or neutral. This paper presents an evaluation of sentiments from the 2016 Kashmir Unrest tweets to find people’s opinions as peace or protest during the unrest using enhanced lexicon approach. Lexicon-based approach has three methods of opinion mining: manual based method, dictionary-based method and corpus-based method. Dictionary-based method is used in this paper where two lexicons, the lexicon for peace and the lexicon for protest are created and then expanded using Word2Vec to determine opinion of general public during 2016 Kashmir Unrest.
A Review on Internet of Things and its Applications
Abstract We are entering a new age of technology in computing, i.e. From the Internet of Things (IoT). In the cloud, the IoT is a kind of universal global neural network that links different things. In order to address this new challenge, the IoT is an intelligently connected device and system consisting of smart machines that interact and communicate with other machines, environments, objects and infrastructures, and Radio Frequency Identification (RFID) and sensor network technologies. As a result, a large amount of data is generated, stored and processed into useful actions that can “command and control” stuff to make our lives much simpler and safer and reduce our environmental effects. The Internet of Things (IoT) is known to be an ecosystem comprising smart objects equipped with sensors, networking and processing technologies that integrate and work together to provide an environment in which end-users receive smart services. The IoT brings various advantages from the world into human life through which smart services are given to use any operation anywhere and at any time. All these services and facilities are transmitted via the various applications carried out in the IoT area. Monitoring and thus immediate decision-making for energy efficient management are the most significant utilities gained by the IoT applications. High business as well as social values are considered the huge data collected by the Internet of Things (IoT) and secret information is derived from raw data, different data mining algorithms can be applied to IoT data. In this paper, we survey systematic application analysis in the field of the Internet of Things (IoT) along with its merits and demerits.
Quantum Cryptography: A New Approach in Cryptographic World
Abstract By applying the phenomena of quantum physics, this technology works. In quantum cryptography two parties can communicate via secure channel. When Stephen Wiesner wrote “Conjugate Coding” Quantum Cryptography was born in early seventies. Two components of quantum cryptography work under the Heisenberg uncertainty principle and the principle of photon polarization. The Heisenberg uncertainty principle states that “it is impossible to determine simultaneously and accurately the position and momentum of subatomic particle like electron in an atom.” In quantum mechanical era photon polarization is description of the classical polarized sinusoidal plan electromagnetic wave. This paper summarizes quantum cryptographic technology and future direction in which it forwards.
Awareness and Usage of Electronic Resources by the Faculty and Students of self-finance Post Graduate engineering colleges affiliated to GTU : A Study
The study was conducted to find out the use of Electronic Resources by the students of Faculty members and students of self-finance post graduate engineering colleges affiliated to GTU. Objectives of the study were to determine the frequency of utilization, major problems users face while using e-resources, to study the purpose of use, to determine the advantages and disadvantages, and to find out the format which users usually prefer. The data was collected with the help of a questionnaire and analyzed by a simple statistical method. A total number of 625 users from the postgraduate engineering students and faculty members were selected and their response was obtained with the help of a questionnaire. According to the main findings of this research the students and faculty members seem to be very interested in using e-resources, because they use e-resources for their research, academic and teaching purpose. The main obstacles found during this study are slow internet speed, lack of ICT Infrastructure and Access has been restricted to Campus only, etc. It is also recommended that post graduate engineering colleges should arrange an orientation programme for the maximum usage of e-resources. Colleges should have to provide sufficient infrastructure and separate e-resource sections with high internet speed networks within campus. Keywords: Electronic Resources, Library, GTU, Post Graduate Engineering Colleges, technology. Cite this Article: Nimesh Kantilal Jotangia, Dr. Jagdishchandra P. Gondalia. Awareness and Usage of Electronic Resources by the Faculty and Students of Self-finance Post Graduate Engineering Colleges Affiliated to GTU: A Study.Journal of Web Engineering & Technology. 2020; 7(2): 5–13p.
Web Content Extraction Based on Tag-Row-Block Web Mining
Information retrieval and Web mining are closely related to the content of Web pages. Due to the rapid development of Web technology, some previous automatic Web content extraction methods are no longer well suited to the current situation. Therefore, this paper proposes a universal content extraction method (CETRB) based on Tag-Row-Block, which is suitable for the current environment. The CETRB method, which combines the visual features and functional features of HTML tags with the row-block distribution function, further improves the precision, recall, and extraction efficiency of the existing Web content extraction methods, and solves the problems of manual threshold setting and universality of multi-source information. Our empirical study on different types of real-world Web pages demonstrates that the method we proposed has great extraction effect and high efficiency for single-content and multi-content pages, English and Chinese pages. It also supports the extraction of multimedia information, and the display effect is consistent with the original semantics, which can provide a comfortable reading experience. At the same time, we conducted the same experiments using the current popular Chinese extraction method Cx-Extractor and the English extraction method Readability. The conclusion is that our proposal outperforms them in terms of precision and recall, and is superior to the Readability method in terms of extraction efficiency. At the same time, it has great advantages in terms of universality and user reading experience. Keywords:Content extraction, information retrieval, Web data mining, knowledge-based Systems, Web Content. Cite this Article: T. Velumani. Web Content Extraction Based on Tag-Row-Block Web Mining. Journal of Web Engineering & Technology. 2020; 7(2): 18–31p.
In a developing country like India, it becomes mandatory that every underprivileged member of the country is aware of the various schemes initiated by the government. Making use of the machine learning and web development, we propose an idea to develop an online portal that will serve as the direct link between the government and the citizens which is “Yojana Access”. This portal will reduce the paperwork and there will hardly be any need left to actually go on-site and take the survey in person. On the basis of the data collected the portal will be able to display nearly exact statistics by making use of machine learning algorithms whereas the web development will help us create an interactive interface for the portal.Improving the communication between the government and the citizens is one of the major assistances that this portal will provide. Besides that, we will be able to fight poverty in a strategic manner. Through this portal we will be able to convey the different schemes to the citizens by attaching a link to these schemes in the portal. This will be another step towards the making of digital India and towards reducing corruption by removing the third party/mediators. Keywords: Machine Learning, Web development, Digital India, HTML, Firebase Cite this Article: Smriti Bharadwaj, Namrata Mishra, Ramneek Kalra. Yojana Access: All Schemes on One Click.Journal of Web Engineering & Technology. 2020; 7(2): 32–38p.
Analyzing the User Experience of Mobile Instant Messaging Service
Due to widespread and ubiquitous availability of smartphones, we see many Instant Messaging Services (IMS) being used by today’s youths. Instant Messaging Services on mobile devices is becoming increasingly popular and have the potential to support effective social interactions. These applications provide functionality beyond traditional short message service (SMS). Even though various IMS has been expanding vastly along with mobile technology, current applications have not sufficiently addressed the needs of all the users. Despite their prevalence, many users have very limited knowledge on user behavior and data performance of different services provided. This paper suggests some improvements in the current versions of instant messaging services available in the market. These improvements are suggested to focus on how to make the user experience while using these services better. This work intends to determine what features influence their use of the application and how the relationship of these factors isarticulated. Keywords: Smartphone; Instant Messaging Services; Whatsapp, Short Message Service, technology Cite this Article: Ruchika Kankaria, Nilesh Uke. Analyzing the user Experience of Mobile Instant Messaging Service.Journal of Web Engineering & Technology. 2020; 7(2): 1–4p.