Journal of Artificial Intelligence Research & Advances
Volume 6, Issue 2 (2019)
Published
Table of contents
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Opinion Polls: Election Result Prediction Using Social Networking Sites - A Review
Abstract: AbstractThe impact of social media is increasing and is being embedded in daily life as it provides a platform for people to express their opinions, sentiments and feelings towards any particular topic. So the data from social media is used by researchers as a data source for opinion mining or sentiment analysis. It can be used to discover political preference of users regarding elections as it has become the most …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 1–7 Read article
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Pattern Recognition Using Hybrid Meta-Heuristic
Abstract: Abstract—In this paper, two optimization algorithms i.e., Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) are combined to produce a hybrid population-based algorithm PSOGSA. The approach of HPSOGSA is to use the assessment of PSO using the social thinking capability and the manipulation of GSA using the local search proficiency. To increase the performance of HPSOGSA, some benchmark functions are used. Two standard database ORL and YALE is used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 100–108 Read article
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Optimal Cell Sizing of CMOS Two-Stage Operational Amplifier using Cuckoo Search Algorithm
Abstract: Abstract: Operational amplifier (op-amp) is commonly used in different analog circuits such as amplifiers, oscillators, comparators, digital to analog converters, analog to digital converters, mixers etc. Manual cell sizing of a CMOS based op-amp circuit for VLSI application is a challenging, boring, and time-consuming work for engineers. So that, the automatic cell sizing of an op-amp is an eminent topic of growing technical and cost-effective significance. An evolutionary algorithm (EA) …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 109–118 Read article
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A Review on Crowd Analysis Techniques
Abstract: AbstractNowadays Crowd analysis is an active open research problem in Computer Vision field. Its various applications like Crowd management, Public space design, Virtual environments, Visual surveillance, and intelligent environments attract researchers. Today security is major concerned, and any abnormal activity can automatically be detected by crowd analysis, so this research topic has got good attention of different researchers. Abnormal activity detection in the crowd is a very challenging task because …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 119–126 Read article
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Sentiment Analysis and Stock Market Prediction-Using news to predict stock markets
Abstract: AbstractThe aim of this paper is to propose a relatively new approach regarding the influence of financial news on stock market prices. Previously, a lot of effort and research has been done to study the effect of historical stock market prices. This approach mainly involved time series numerical data to predict the future trend of stock markets. But, with the advent of superior computing power and computing techniques such as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 17–24 Read article
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A Survey on Information Diffusion in OSNs based on Influence
Abstract: AbstractIn social systems, information and ideas spread through the communication between different social entities. So it is important to detect the key factors in spreading the information. Finding influential entities in social network is an important issue so that they can influence largest population possible. At the same time, community structure plays a vital role in understanding the dynamics of a social system. Many researches have been done for identifying …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 25–31 Read article
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Database Intrusion Detection Using Genetic Support Vector Fuzzy Clustering Learning Model
Abstract: AbstractThe rapid development of computer networks and increasing dependency of almost all companies and government agencies on Internet and cloud computing lead to the problem of stability and security like intrusions in several forms which can cause huge loss to these organizations. During recent years, disaster in data due to intrusions has dramatically increased. The hindrance of such intrusions is entirely dependent on their detection part which can be possible …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 32–40 Read article
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Decisive Video Fingerprinting Using Visual Regions
Abstract: AbstractIn this research paper we are trying to detect a video and generate a fingerprint of that video which is unique to that video then this fingerprint of video will help in detecting or comparing with other videos to find out whether it is original or not or is the video exists in our database this video fingerprinting technology will help us in copyright management and to curb piracy ,it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 41–44 Read article
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Securing Smart meters Using Blockchain
Abstract: Abstract—With the advent of renewable energies use of smart meters has become an indispensable need in today’s day and age. The use of smart meters in the modern age brings its own set of security issues which need to be dealt with carefully. The current communication methods used in smart meters are insecure and can expose sensitive customer data to third parties. The possible attacks include tampering with customer data …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 45–51 Read article
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Enhancing Consumer Trust and Satisfaction towards Cloud Services
Abstract: AbstractIn today’s world, consumer of a service is prior and top significant part of a business. Cloud computing is an efficient technology with a vast amount of momentum, and its unique parameters are exacerbating various security and privacy concerns. Going from computations to the “Cloud” is making computing calculations easier towards the users, at the same time it will bring some new security concerns regarding the safe and reliable use …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 52–57 Read article
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Smart Robotic Arm
Abstract: AbstractThis is a research paper on a smart robotic arm which provides technical information & introduction about this robotic arm. The robotic arm is a issue which is being researched by due to problems facing in day to day life. Nowadays there are a variety of robotic arms available in the market. This research was done to overcome the real-time problems. This paper includes the work of robotic arm and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 58–62 Read article
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Intelligent Computing with Natural Language Processing
Abstract: AbstractNatural language processing is a branch of computer science and artificial intelligence which involve machines or robots to understand and process the language that human speaks or which is concerned with interaction between computer and human languages. Natural Language Processing put great efforts for making computer interfaces so that it will become easier to operate the machine through natural language rather than commands. There are various languages that support NLP …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 63–68 Read article
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Modified Genetic Algorithm for Performing the Regression Testing
Abstract: AbstractIt states simply what work Software Testing is an approach where deferent errors and bugs in the software are identified. To test software we need the test cases. One of the mainly imperative activities in software maintenance is Regression Testing. The re-execution of all test cases throughout the regression testing is expensive and time consuming. And even though several of the code based planned techniques by researchers address technical programs. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 69–75 Read article
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Technology Solutions of Real Life Scenarios using Mobile Applications-An Analysis
Abstract: AbstractThis study presents the outline of mobile apps usage through the smartphones by the users. The world is humming to the tune of mobile apps and providing rich data content through digital revolution of technology. The technological advancements in the mobile apps are raising the standard of various business sectors worldwide. Smartphones built with mobile apps are allowing customers to get their services while sitting at home. The competitive market …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 76–81 Read article
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Predicting Churners from the User Base of a Business - A Review
Abstract: AbstractCustomer churn prediction and management is a foremost job aimed by enterprises to maintain cost-effective customers and thus many customer churn prediction models are developed which aim to categorize consumers as non-churners or churners & then retention actions are taken to prevent churners from churning. The data from different companies like Telecommunication Company, financial company, Retail Company etc. can be used to discover valuable patterns which predict the customers’ relationship …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 8–16 Read article
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Image Compression Techniques-A Comparative Study
Abstract: AbstractDigital images are required to store a large among of storage space in digital computers. Nowadays, computer system is very capable to process digital images with high resolution quite easily. The transmission of huge data needs more time to transfer over network channel. Thus, time and space are two fundamental components of computing. In the field of digital image processing, image compression is one of the most popular and commercially …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 82–87 Read article
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Secure Outsourced Computation of Geometric Progression on Vicious Cloud
Abstract: AbstractCloud Computing provides environment to individual, organization and business to store their sensitive data on cloud. One can store their data on cloud due to cost factor. But sometime data can be lost and leaked by suspicious data owner. Individual can also use cloud for platform purposes means cloud can also be used for computation purpose. Computation can be expensive on standalone desktop when resources are limited. In this paper, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 88–91 Read article
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Performance Evaluation of Autism Diagnosis Tool at Diverse Learning Rates
Abstract: Abstract: Artificial Neural Networks (ANN) has been considered as a major artifact in the scenario of Machine Learning, which needs optimization for more accurate and efficient results. The main aim of this paper is to identify the optimization techniques and their learning rates for ANN with better results. In this paper, we have been utilized “Keras” library for framing ANN with different optimization techniques. The evaluation of the optimization techniques …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 92–99 Read article