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1720 articles for “behavior”
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Olfactory Biometric Technique: An Emerging Technology
Abstract: Now-a-days authentication becomes a part of our daily life. Biometric authentication or, simply, biometrics refers to the method of using the physiological or behavioral characteristics to determine or verify one’s identity. Many of the systems require reliable personal recognition approaches to either identify or determine an individual by requesting their services. The purpose of such approaches is to ensure that whether the rendered services are accessed only by a legitimate …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 1, 2014 · pp. 1–11 Read article
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Messenger RNA Approach for Identifying Inter-nucleotide Signals using Genomic Sequences
Abstract: The inter-nucleotide signals are a novel way of genomic signal representation of genomic data which is seen to have a discriminatory capability in highlighting the promoter region of gene sequences. The results of applying DFT to in genomic sequence signals that they can discriminate using messenger RNA for identifying inter nucleotide sequences. Genomic Signal Processing (GSP) applications in bioinformatics research have received great attention in recent years, where new effective …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 1, 2014 · pp. 16–20 Read article
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Personal Authentication-Based Fingerprint Recognition
Abstract: As our society has become more and more electronically connected and more proxy representations of identity such as passwords cannot be trusted to establish a person’s identity, biometrics offers a natural and reliable solution to certain aspects of identity management by utilizing fully automated or semi-automated schemes to recognize individuals based on their inherent physical and/or behavioral characteristics. Human fingerprints contain details called minutiae, which can be used as identification …
Published in E-Commerce for Future & Trends · Vol. 1, Issue 1, 2014 · pp. 6–10 Read article
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Ethics in Business
Abstract: Ethics are an integral part of a company's long-term success. It is defined as the set of moral values or principles. Ethics are defined as the process of distinguishing the right and good from the wrong or bad, and they imply a moral duty to purse the good and right. Over the past decades, we have seen that ethics have become integral part of the business world. Ethics are more …
Published in E-Commerce for Future & Trends · Vol. 1, Issue 3, 2014 · pp. 1–2 Read article
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Boosting Decision Tree Algorithm for Weather Prediction
Abstract: Data mining is the computer assisted process which predicts behaviors and future trends by digging through and analyzing enormous sets of data and then extracting the meaningful data. It is used to answer questions that traditionally were very time consuming to resolve. This feature makes it useful to predict meteorological data that is weather prediction. Weather prediction is a necessary application in meteorology and has been one of the most …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 3, 2014 · pp. 21–30 Read article
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Detection System in Human Face using Biometrics
Abstract: A person is identified with face. Face recognition is one of biometric methods, to identify given face image using main features of face. Biometrics is a growing technology, which has been widely used in forensics, secured access and prison authentication. A biometric system is fundamentally a pattern recognition system that recognizes a person by determining the secured by using his different biological features i.e. fingerprint, retina-scan, iris scan, hand geometry, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 9–16 Read article
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On the Power of Oracles in the Context of Hierarchical Intelligence
Abstract: Artificial intelligence (AI) is aimed at the construction of artificial systems with intelligent behavior. At first, AI researchers tried to elaborate a uniform technological (computational) system that had intelligence. However, psychological and neurophysiological studies demonstrated heterogeneous hierarchical organization of the human psyche and intelligence. That is why the contemporary approach to AI is based on heterogeneous hierarchical architecture of computational systems. In this paper, we study the intelligence hierarchy formalized …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 6–17 Read article
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Design and Simulation of PID Controller for Two Link Robotic Arm
Abstract: This paper deals with the design of two link robot arm control methodology using PID controller. A two degree of freedom (2DOF) robotic arm is designed using a PID controller and simulated in MATLAB/SIMULINK platform. A good performance of a robot requires the consideration of efficient dynamic models and sophisticated control approaches. The dynamic model is derived from the general Lagrange equation. The simulation of two link manipulator (TLM) has …
Published in Journal of Advancements in Robotics · Vol. 3, Issue 1, 2016 · pp. 36–42 Read article
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Modified Search Solutions Based ABC with Mutation Algorithm for TSP
Abstract: Swarm intelligence systems are basically made up of simple agents’ population, which are interacting locally with each other and with their surroundings. The artificial bee colony algorithm (ABC) is for aging behavior based optimization algorithm. In this paper, modified version of ABC algorithm, called as ABCM, is used. In this algorithm, two equations of original ABC algorithm are modified: First is the search equation of employed bee and second is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 39–43 Read article
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An Unsupervised Common Sense-based Learning Framework for Emotion Detection and Classification in Textual Social Data
Abstract: AbstractEmotions are inherent to human behavior and generally expressed in response to the stimuli from the external environment or some internal processes. With the widespread use of online social platforms, people often express themselves using tweets, blogs and posts which generally include affective text. The topic of emotion detection and recognition has been widely studied in computational science and in fact a separate area “Affective Computing” is dedicated to its …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 44–51 Read article
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Relationship between Consumer Online Search Behaviour & Their Online Buying Intention having Income as Moderating Variable
Abstract: This research work aims to study the relationship between consumer online search behaviour on e-tail websites and their online buying intention from such websites. This relationship is also studied in presence of income as moderating variable. Research is based upon primary survey of 500 respondents of Madhya Pradesh. For the purpose of analysis percentage analysis, correlation analysis and regression analysis were used. It was found that there is a relationship …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 2, 2018 · pp. 17–22 Read article
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Sentiment Analysis and Text Summarization Review
Abstract: In this global era, it has been a significant task to find out what other people think of the information extraction behavior of an online user. People often express or share their moods, opinions, attitudes, ideas, on the social media sites and blogs. The platform of social media sites and blogs became the research base for analyzing the sentiments or opinions of the users. These sites became so popular that …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 1–7 Read article
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Sentiment Analysis for Financial Predictions: A Review
Abstract: AbstractSentiment analysis is one of the popular research areas in computer science, as it finds its application in numerous areas like finance, election and product reviews. Behavioral economics suggests that decision of investing in financial markets is driven by feelings like greed, fear etc. With widespread adoption of technology and digitization of corporate disclosures, news and social media platforms, and information expressed through words can be mined and used to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 59–68 Read article
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Emotion mining using Unsupervised Learning
Abstract: Social networks are considered as the most abundant sources of affective information for Sentiment and Emotion Classification. Emotion Classification is the challenging task of classifying emotions into different types. Emotion is a mental state observed by behavioral or developmental changes. Emotions being universal, the automatic exploration of emotion is considered as the difficult task to be performed. A lot of the research is being conducted in the field of automatic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 24–34 Read article
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Human Identification using Ear as a Biometric - A Review
Abstract: AbstractThe science of identifying or recognizing a human or verifying the identity of a person on the basis of behavioral or physiological attributes is called as Biometrics. This paper mainly focuses on studying such biometric systems designed and developed so far using the uniqueness of human ear as a biometric. Keywords: Biometrics, ear, recognition, identificationCite this ArticleRahul Lahkar, Khurshid Alam Borbora. Human Identification using Ear as a Biometric: A Review. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 99–104 Read article
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Online Shopping Intention for Consumer Electronics Products: A Literature Review and Conceptual Model
Abstract: Internet and its related technologies have opened the new spectrum for the marketers. One of the highest growing segments is business to consumer E-commerce. E-commerce offers enormous opportunities for the marketer to promote products and services. Thought these opportunities come along with notable challenges. To capitalize on the opportunities and to develop the strategies to deal with challenges that are prevailing in e-commerce market online retailers and website developers have …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 1, 2020 · pp. 24–32 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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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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Role of E-Learning based higher education in sustainable development
Abstract: E-learning in higher education can be of great importance in effective life-long learning education for sustainable development in a population of students who are all together full time employees. The aim of this research was to assess the Education of Sustainable Development effectiveness through e-learning in higher education in a case study. The six scope analysed were:• General outlook;• Learning Quality;• Teaching Resources,• Educational tools and Evaluation;• Acquire competences in …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 2, 2020 · pp. 20–23 Read article
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Self Driving Car Simulation Using Deep Learning
Abstract: Every year, traffic accidents account for 2.2% of worldwide deaths. That accumulates to a few millions a year. On prime of this, some individuals are seriously lacerate in auto-related accidents annually in large numbers mostly due to human error. From distracted driving to drunk driving to reckless driving to careless driving, one poor or inattentive call may be the distinction between a typical drive and a critical state of affairs. …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 1, 2021 · pp. 6–13 Read article