Journal of operating systems development & trends (vol1, issue1) by STM Journals Publication

Jan - April 2014 (JoOSDT)

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Dr. B.L. Shivakumar Professor Sri Ramakrishna Engineering College Coimbatore.

Shih-Ching Yeh Assistant Professor At National Central University Taiwan.

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STM JOURNALS

I take the privilege to present the print version for the Volume 1 Issue (1) of Journal of Operating Systems Development & Trends. The intension of JoOSDT is to create an atmosphere that stimulates creativeness, research and growth in the area of operating systems. The development and growth of the mankind is the consequence of brilliant Research done by eminent Scientists and Engineers in every field. JoOSDT provides an outlet for Research findings and reviews in areas of operating systems 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 operating systems. 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.

Dr. Archana Mehrotra Director STM Journals

Journal of Operating Systems Development & Trends

Contents

1. A Novel Group Key Transfer Protocol based on Secret Sharing S. Navya Bimba Sahitya, P. S. Avadhani

2. An Interactive Jogging Application for Android OS Anish Mathew, A.J Jadhav, Rohan Menon, Sumit Saurabh

3. An Evaluation of Sentiment Analysis in Online Reviews using FRN Algorithm I. Hemalatha, G. P. Saradhi Varma, A. Govardhan

4. Collocation Pattern Analysis N K Kameswara Rao,G P Saradhi Varma1, M Nagabhushana Rao

5. Microsoft Kinect Sensor Technology and its Methods N. Anandakrishnan, S. Santhosh Baboo

Journal of Operating Systems Development & Trends Volume 1, Issue 1 www.stmjournals.com

A Novel Group Key Transfer Protocol based on Secret Sharing S. Navya Bimba Sahitya1*, P. S. Avadhani2 AU College of Engg (A). Andhra University, Visakhapatnam, AP, India

Abstract Key transfer protocols use the key generation center for generation and transfer of all the session keys to the users. A key generation center generates a private key for each of the group members. In this paper, the authors discuss an improved authenticated group key transfer protocol based on secret sharing that depends on a key generation center (KGC) [1]. The secret sharing scheme is based on the Chinese Remainder Theorem. The KGC broadcasts the group key information to all the group members. The authorized users can recover the group key whereas the unauthorized cannot. This protocol assures both confidentiality and authentication. These are analyzed in detail further.

Keywords: Group key transfer protocol, group key, session key, secret sharing schemes, confidentiality

Journal of Operating Systems Development & Trends Volume 1, Issue 1 www.stmjournals.com

An Interactive Jogging Application for Android OS Anish Mathew, A.J Jadhav, Rohan Menon*, Sumit Saurabh Dept. of Information Technology, Rajarshi Shahu College of Eng., Tathawade, Pune-33, India Abstract In the last few years Android phones have become a huge part of our lives. Earlier we used to have cell phones just to make calls or send messages but Android and its applications have given a whole new definition to a cell phone. Android applications are fun to operate and many of them are quite useful in day-to-day life, but their usability still isnâ&#x20AC;&#x2122;t as evolved as we would like. This application is basically a fitness application which will measure the distance travelled, average speed, total calories burnt, etc. like any other application. In addition to these features progress bar, target graph and milestones are there to give the user all kinds of useful data about your work out and keep you motivated to achieve greater levels of fitness through. With dedicated lock screen display, toggle support, and night and day mode for better usability and battery conservation the interface is very user friendly and thus easy and efficient to work with. We try to give both positive and negative feedback when the user is doing well or bad respectively. In order to implement this we try to motivate the user by using various features like noise distortion while he is running slowly. The objective is to help ensure that the user is selfmotivated enough to lead a healthy lifestyle. Keywords: Android application, fitness, usability

Journal of Operating Systems Development & Trends Volume 1, Issue 1 www.stmjournals.com

An Evaluation of Sentiment Analysis in Online Reviews using FRN Algorithm I. Hemalatha1*, G. P. Saradhi Varma1, A. Govardhan2 1

S.R.K.R.Engineering College China-Amiram, Bhimavaram, India 2 JNTUH, Hyderabad, India

Abstract The internet is rich in directional text (i.e., text containing opinions and emotions). World Wide Web provides volumes of text-based data about consumer preferences, stored in online review websites, web forums, blogs, etc. Sentiment analysis is a technique to classify peopleâ&#x20AC;&#x2122;s opinions in product reviews, blogs or social networks and has emerged as a method for mining opinions from such text archives. It uses machine learning methods combined with linguistic attributes/features in order to identify among other things the sentiment polarity (e.g., positive, negative, and neutral). The authors investigated supervised learning by incorporating linguistic rules and constraints that could improve the performance of calculations and classifications.

Keywords: Opinions, sentiment analysis, machine learning

Journal of Operating Systems Development & Trends Volume 1, Issue 1 www.stmjournals.com

Collocation Pattern Analysis N K Kameswara Rao1*,G P Saradhi Varma1, M Nagabhushana Rao2 1

SRKR Engineering College, Bhimavaram, Andhra Pradesh, India Swarnandra College of Engineering & Technology, Narasapuram, Andhra Pradesh, India

Abstract Spatial data mining becomes more attractive and significant as more spatial data is built up in spatial databases. Many GIS applications are using spatial patterns that are equal to association rules of a business data mining, i.e., online transaction processing (OLTP). Mining the spatial collocation patterns is a significant spatial data mining job with broad applications. Organizations having large data sets of spatial data need to do certain operations that incorporate methods of analyses and summarization which very much crucial; retailers are finding items frequently bought together to make plan catalogs, store arrangements, and promote products together by using Association rule finding in data mining technique; decision-support systems for getting improved information like transformations and trends that occur in the spatial zones. Particularly, the interpretation on the demonstration of collocation (co-location) pattern and its size change using semantically supported elements is more important to archaeologists, GIS scientists, governments, etc., for analyzing the changing trends in civilization. Many spatial datasets contain occurrence of a collection of Boolean spatial features. Spatial association statistics measure the concentration of an attribute over a space.

Keywords: Spatial data mining, temporal mining, spatial knowledge, collocation, geographic information system

Journal of Operating Systems Development & Trends Volume 1, Issue 1 www.stmjournals.com

Microsoft Kinect Sensor Technology and its Methods N. Anandakrishnan1*, S. Santhosh Baboo2 1

Department of Computer Science, Providence College for Women, Coonoor, Tamil Nadu PG & Research Department of Computer Applications, D.G. Vaishnav College, Chennai, Tamil Nadu

Abstract Kinect is a technology that is capable of motion tracking and sensing. Kinect plays a unique role in the study of identification. Its unique properties of being able to identify the objects are performed with a sensor. Kinect Sensors track objects based on the color and data. Kinect sensors have been developed overtime for tracking various actions and postures. Improvisations are inhibited within the technology based on identity, digitization, alpha channels, depth of color and sensors in Autism research. Major concepts in Kinect and their enhancements are surveyed in this paper.

Keywords: Kinect, sensor, tracking, color data, depth data