iosr-JCE   Volume-18 ~ Issue-3 ~ May-June 2016

Abstract: As the social media has gained more attention from users on the Internet, social media has been one of the most important information sources in the world. And, with the increasing popularity of social media, data which is posted on social media sites are rapidly becoming popular, which is a term used to refer to new media that is replacing traditional media. In this paper, we concentrate on geotagged tweets on the Twitter site. These geotagged tweets are known to as georeferenced documents......

Keyword: Spatiotemporal clustering, Density-based clustering, Social media, Naive Bayes, Burst detection.

[1]. Kaneko T, Yanai K (2013) Visual event mining from geo-tweet photos. In: Multimedia and Expo Workshops (ICMEW) 2013 IEEE International Conference On. IEEE, San Jose, CA, USA. pp 1–6.
[2]. Tamura K, Kitakami H (2013) Detecting location-based enumerating bursts in georeferenced micro-posts. In: roceedings of the 2013 Second IIAI International Conference on Advanced Applied Informatics. IIAI-AAI '13. IEEE Computer Society, Los Alamitos, CA, USA. pp 389–394.
[3]. Tamura K, Ichimura T (2013) Density-based spatiotemporal clustering algorithm for extracting bursty areas from georeferenced documents. In: Proceedings of The 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. IEEE Computer Society, Los Alamitos, CA, USA. pp 2079–2084.
[4]. Abdelhaq H, Sengstock C, Gertz M (2013) Eventweet: Online localized event detection from twitter. Proc VLDB Endow 6(12):1326–1329.

Abstract: In this modern era, as information technology is growing so far from the computing to communication, home automation is becoming a crucial area in research. In this proposed work, focus has been given on the design and development of an integrated platform for providing the facility to control the home appliances not only locally, but remotely also in an efficient way........

[1] Hirakjyoti Sarma, Dr. Manoj Kumar Deka," Design of an Integrated Platform for GSM and Web Based Home Automation System ","2nd International Conference on Emerging Trends in Computer Science, Communication and Information Technology" (CSCIT2015) February 9-11, 2015, organized by Department of Computer Science and Information Technology, Yeshwant Mahavidyalaya, Nanded-431 602. (M.S.) India"
[2] Armando Roy Delgado, Rich Picking and Vic Grout, "Remote-Controlled Home Automation Systems with Different Network Technologies", Centre for Applied Internet Research (CAIR), University of Wales, NEWI, Wrexham, UK
[3] Inderpreet Kaur , "Microcontroller Based Home Automation System With Security", (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 1, No. 6, December 2011
[4] Ali Ziya Alkar, Umit Buhur, "An Internet Based Wireless Home Automation System for Multifunctional Devices.

Abstract: Image Properties are used for the analysis of quality of the given image. The Intensity images, Contrast images, Weibull images and Fractal images are extracted from the input images. Eight basic image properties are calculated for these images. Analysis is made for the different Properties. Clustering is made on different types of images based on discriminative properties. Images are classified by using K-means method. Then analysis is made on the different clusters.

Keywords: Clustering, Image Property, K-means method, Normalization.

[1] Robert M Haralick, K Shanmugam and Its'hak Dinstein, Textural Features for Image Classification, IEEE Transactions on Systems, man and Cybernetics, 3, 1973, 610-621.
[2] Anne H. Schistad Solberg and Anil K. Jain, Texture Fusion and Feature Selection Applied to SAR Imagery, IEEE Transactions on GeoScience and Remote Sensing, 35, 1997, 475-479.
[3] Valery V Starovoitov, Sang-Yong Jeong and Rae-Hong Park, Texture Periodicity Detection: Features, Properties, and Comparisons, IEEE Transactions on Systems, man and Cybernetics, 28, 1998, 839-849.
[4] Jianguo Zhang and Tieniu Tan, Brief review of invariant texture analysis methods, International Journal Pattern Recognition, 35, 2002, 735–747.
[5] Cheung Ming Lai, Kin Man Lam and Wan-Chi Siu, A Fast Fractal Image Coding Based on Kick-Out and Zero Contrast Conditions, IEEE Transactions on Image Processing, 12, 2003, 1398-1403.