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Aswinrani, M.
- An Efficient Maximal Web Access Patterns Mining
Authors
1 Department of Computer Science & Engineering, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN
Source
Software Engineering, Vol 6, No 9 (2014), Pagination: 252-257Abstract
Web use mining is a fascinating application of information mining which gives understanding into client conduct on the Internet. An imperative system to find client access and route trails is focused around consecutive examples mining. One of the key difficulties for web access examples mining is handling the issue of mining lavishly organized examples. To recognize and anticipate more mind boggling website page demands. Relating CAP mining and demonstrating strategies are proposed and demonstrated to be successful in the quest for and representation of concurrency between access designs on the web. (To begin with Occurrence List Mine) [1] From analyses led on vast scale manufactured grouping information and in addition genuine web access information. The web usage data provides the paths leading to accessed Web pages with preferences and higher priorities[10]. This information is often gathered automatically into access logs through the Web server. Accessing Information is the most frequent task. It is a top-down method that uses the concept of first occurrence to reduce search space and thus improving the Performance.
Keywords
Web Access Pattern, Maximal Access Patterns, Sequence Data Base, WAP-Tree Methods and Web Usage Mining.
- Recognizing the Sensor Data in Cyber-Physical Systems
Authors
1 Department of CSE, V.R.S.CET, IN
Source
Programmable Device Circuits and Systems, Vol 7, No 1 (2015), Pagination: 7-11Abstract
A Cyber-Physical System (CPS) coordinates physical gadgets (i.e., sensors) with digital (i.e., enlightening) parts to structure a setting touchy framework that reacts adroitly to element changes in genuine circumstances. Such a framework has wide applications in the situations of activity control, front line observation, natural observing, et cetera. A center component of CPS is the accumulation and evaluation of data from loud, dynamic, and indeterminate physical situations incorporated with numerous sorts of the internet assets. The capability of this incorporation is unbounded. To attain this potential the crude information gained from the physical world must be changed into useable information continuously. In this way, CPS brings another measurement to learning revelation due to the rising synergism of the physical and the digital. The different properties of the physical world must be tended to in data administration and information revelation. This paper talks about the issues of mining sensor information in CPS: With an extensive number of remote sensors sent in an assigned region, the errand is continuous recognition of interlopers that enter the zone focused around proarious sensor information. The system of Intrumine is acquainted with find interlopers from dishonest sensor information. Intrumine first breaks down the dependability of sensor information, then identifies the interlopers' areas, and confirms the identifications focused around a diagram model of the connections in the middle of sensors and interlopers.
Keywords
Digital Physical Framework, Sensor System, Information Dependability.- Moving Object Detection and Counting Using Fuzzy Color Histogram Features
Authors
1 Department of Computer Science and Engineering, V.R.S College of Engineering and Technology, Arasur, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 6, No 9 (2014), Pagination: 317-320Abstract
Object detection and counting from video stream is very important for many real-life applications. Existing detection and counting were based on Bayesian regression. We present a efficient object detection and counting based on background subtraction using fuzzy color histogram (FCH), which used effectively for removal of unwanted pixel from the background and capacity of extraordinarily weakening shade varieties created by foundation movements while as of now highlighting moving articles for effective individuals tallying. First, video is converted into frames for processing it to still images to detect objects. Fuzzy C means (FCM) technique used for data grouping, applying along with membership values for clustering with color planes [1]. Foreground and background classified with FCH features by applying threshold value ranges from 0 to 1. Then detected object proceed with morphological process and component analysis for smoothing. Finally, object is counted and we present number of objects in full video.