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Sowmiya, 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.
Keywords
Fuzzy C Means, Fuzzy Color Histogram, Membership Matrix, Object Detection, Connected Component Analysis.- Image Reader for Visually Impaired People
Authors
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, IN
Source
Digital Image Processing, Vol 11, No 2 (2019), Pagination: 33-34Abstract
In this society there are millions of visually impaired people, our paper introduces an innovative, efficient and real-time cost effective technique that enables user to hear the contents of text images instead of reading through them. It combines the concept of Optical Character Recognition (OCR) and Text to Speech Synthesizer (TTS) in Raspberry pi. This type of system helps visually impaired people to interact with computers effectively through vocal interface. Text Extraction from color images is a challenging task in computer vision. Text-to-Speech conversion is a method that scans and reads English alphabets and numbers that are in the image using OCR technique and changing it to voices. This paper describes the design, implementation and experimental results of the device. This device consists of two modules, image processing module and voice processing module. The device was developed based on Raspberry Pi v2 with 900 MHz processor speed.
Keywords
OCR, Text to Speech Converter, Image and Voice Processing.References
- Optical Character Recognition (OCR) enhancement using an approximate string matching technique - KraisakKesorn and PhornsiriPhawapoothayanchai Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Phitsanulok, Thailand
- Text to Speech Conversion System using OCR – Jisha Gopinath, Aravind, Pooja Chandra, Saranya S, Department of Electronics and Communication, SBCEW, Kerala, India
- Portable Devices for Maternal Health Monitoring System
Authors
1 Department of Information Technology, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
Source
International Journal of Emerging Trends in Science & Technology, Vol 6, No 1 (2020), Pagination: 15-17Abstract
Healthy pregnancy and safe childbirth is a goal of all Indian health care systems. Despite significant improvements in recent decades, mothers and their babies are still in danger during the prenatal period, which covers pregnancy, delivery, and therefore the postpartum. Babies born too early are more likely to die than those born at term. To enhance prenatal health, we would like the proper tools to assess problems and their causes. We also got to monitor the health condition of the pregnant woman frequently. We have proposed the system using IOT which is predicated on maternal health care solution that promises to effectively monitor the health of the pregnant women in rural India. This technique allows sensing various attributes just like the temperature, pulse and therefore the vital sign of the mother frequently. The readings of the attributes are stored during a cloud. Just in case of any abnormal conditions there’s a message which is shipped to the hospital, doctor responsible and therefore the guardian of the patient. We have also used Diffie Hellman Key Exchange algorithm to secure transmission of knowledge.Keywords
Arduino, Blood Pressure Sensor, Health Care, Heart Rate Sensor, Internet Of Things, Temperature Sensor.References
- S. S. Amala, and S. Mythili, “IoT based health care monitoring system for rural pregnant women,” International Journal of Pure and Applied Mathematics, vol. 119, no. 15, pp. 837-843, 2018.
- V. Santhi, K. Ramya, A. P. J. Tarana, and G. Vinitha, “IOT based wearable health monitoring system for pregnant ladies using CC3200,” International Journal of Advanced Research Methodology in Engineering & Technology, vol. 1, no. 3, May 2017.
- K. Sooda, A. Naik, S. Desai, S. Dubey, and M. Bhargavi, “Android monitor for maternity care using cloud and IoT,” International Journal of Innovations and Advancement in Computer Science (IJIACS), vol. 6, no. 6, June 2017.
- A. A. Patil, and S. R. Suralkar, “Review on-IoT based smart healthcare system,” International Journal of Advanced Research in Engineering and Technology (IJARET), vol. 8, no. 3, pp. 37-42, May-June 2017.
- A. Tewari, and P. Verma, “Security and privacy in e-healthcare monitoring with WBAN: A critical review,” International Journal of Computer Applications, vol. 136, no. 11, pp. 37-42, 2016, doi: 10.5120/ ijca2016908600.