Journal of artificial intelligence research & advances (vol1, issue3) by STM Journals Publication

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I take the privilege to present the print version for the Volume 1 Issue (3) of Journal of Artificial Intelligence Research & Advances. The intension of JoAIRA is to create an atmosphere that stimulates creativeness, research and growth in the area of Artificial Intelligence. The development and growth of the mankind is the consequence of brilliant Research done by eminent Scientists and Engineers in every field. JoAIRA provides an outlet for Research findings and reviews in areas of Artificial Intelligence found to be relevant for National and International recent developments & research initiative. The aim and scope of the Journal is to provide an academic medium and an important reference for the advancement and dissemination of Research results that support high level learning, teaching and research in the domain of Artificial Intelligence. Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for their continued support and invaluable contributions and suggestions in the form of authoring write ups/ reviewing and providing constructive comments for the advancement of the journals. With regards to their due continuous support and co-operation, we have been able to publish quality Research/Reviews findings for our customers base. I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

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Journal of Artificial Intelligence Research & Advances

Contents

1. Computations of Numerical Integrations Through PHP With MYSQL P.S.S. Nagalakshmi

2. Face Recognition Practices for PartialOcclusion: A Survey Priya Mate, Rohit Raja

3. Video Surveillance and Object Tracking: A Survey Akriti Sahu, Rajesh Tiwari

4. A Comparative Study on Classification of ECG Signals Rajesh D. Wagh, Shaila P. Kharde

5. Artificial Intelligence for Emotion Recognition Ankush Rai

Journal of Artificial Intelligence Research & Advances Volume 1, Issue 3 www.stmjournals.com

Computations of Numerical Integrations Through PHP With MYSQL P.S.S. Nagalakshmi* Digital Techniques for Design and Planning, Jawaharlal Nehru Architecture and Fine Arts University, Masab Tank, Hyderabad, Telangana, India Abstract The main emphasis of this paper is to calculate numerical integrations like Trapezoidal and Simpsonsâ&#x20AC;&#x2122; rule with server side scripting. PHP is a server-side scripting language designed for web development but also used for general purpose programming language. PHP with MySQL fulfills computations of numerical integrations with reference to database created by the researcher .This paper is an interdisciplinary activity in terms of Mathematics and computer language.

Keywords: Numerical integration, PHP, MySQL

Journal of Artificial Intelligence Research & Advances Volume 1, Issue 3 www.stmjournals.com

Face Recognition Practices for Partial Occlusion: A Survey Priya Mate*, Rohit Raja Department of Computer Science, Shri Shakracharya Technical Campus (SSGI-FET), Junwani, 490009, Chhattisgarh, India Abstract Over the years, biometrics has gained unparalleled popularity in digital medium and has proven its usefulness for several applications concerned with the threats and crime or security purposes. Face recognition is a widely emerging biometric for automating the surveillance, as it has aid in strengthening the security from several types of terrorist or criminal threats. However, there are several face recognition techniques which are categorized based on its error rates in recognition but there are few that gives the marginal rate for sufficient and validated recognition rates for occlude images. This survey illustrates the precise overview of the major face recognition techniques which paves strong foothold for the partially occlude images.

Keywords: face recognition methods, feature extraction, partial occlusion, error in recognition rates *Author for Correspondence E-mail: priya.mate@gmail.com

Journal of Artificial Intelligence Research & Advances Volume 1, Issue 3 www.stmjournals.com

Video Surveillance and Object Tracking: A Survey Akriti Sahu*, Rajesh Tiwari Department of Computer Science, Shri Shakracharya Technical Campus (SSCET), Junwani, 490009, Chhattisgarh, India Abstract The multiple object tracking from video sequences has been an open research question for so many years. It remained a demanding research for the tracking of motion and simultaneous object detection within a domain range of image processing and computer vision. The tracking methodologies involve object segmentation, background subtraction, feature descriptors like mean-shift, particle filter. Thus, the performance of such tracking methods varies with the computational complexity which relies on the background information. This paper puts forth a detailed survey of the state of the art attempts made in the direction with their positive and negative aspects.

Keywords: background modeling, feature descriptor, object tracking, computer vision

Journal of Artificial Intelligence Research & Advances Volume 1, Issue 3 www.stmjournals.com

A Comparative Study on Classification of ECG Signals Rajesh D. Wagh1, Shaila P. Kharde2 1

Computer Science and Engineering, SYCET/Dr. Babasaheb Ambedkar Marathwada University Aurangabad (M.S.), India 2 Electronics and Telecommunication, SYCET/Dr. Babasaheb Ambetkar Marathwada University Aurangabad (M.S.), India

Abstract An ECG provides the electrical activity of the heart over a period of time. Electrocardiogram (ECG) analysis is used in the medical area to measure electrical activity heart beats of the patients. Electrocardiogram (ECG) signals provide analysis provides idea about the disease to the cardiologists. In the last year many methods are developed for extracting features from ECG signals and research are proposed to analyze the ECG signals. During the cardiac cycle heart generates electrical signals. This electrical signal consists of PQRST waves which are useful to calculate the cardiac health of the patient and by using these waves and heart rates, analysis of the patient disease is done by the cardiologists. We discuss, in this paper, various algorithm and techniques for classification and analysis of ECG signals.

Keywords: Electrocardiography, cardiologists, ECG, PQRST-wave, cardiac, heart rates.

Journal of Artificial Intelligence Research & Advances Volume 1, Issue 3 www.stmjournals.com

Artificial Intelligence for Emotion Recognition Ankush Rai* Department of Applied Science, CRIAD Laboratories Smiriti Nagar, Bhilai, Chhattisgarh, India Abstract Human-computer intelligent interaction is a technically emerging field in computer science; which aims at improving the natural ways of interaction between computer and humans. In the recent few years, there have been several advances of face detection and tracking, feature extraction, but only a few been attempted for expression classification and those attempts are limited to the expression classifiers. Hence, such techniques are limited to the prototypic expression feed to them during training. The goal of our research presented in this paper is to cement the emotional gap between humans and computer, i.e., in other words to enable computers through Artificial Intelligence (AI) to recognize emotional status of the users in a time varying analysis which enable it to determine the cause of change and point at where the change of emotion is observed while surveying the universal facial micro-expressions of the users.

Keywords: emotion recognition, Universal Micro-expression, artificial intelligence, human-centered computer interaction, intelligent framework

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