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Review Paper

Weather adaptive traffic prediction and analysis of accidents using machine learning algorithms

Predicting traffic flow is one of the fundamental needs for comfortable travel, but this task is challenging in vehicular cyber-physical systems because of ever-increasing uncertain traffic big data. Although live data with outstanding performance recently have become popular, most existing models for traffic flow prediction are fully deterministic and shed no light on data uncertainty. Also, they are many inventories in automobile industries to design and build safety measures for automobiles, but traffic accidents are unavoidable. There is a huge number of accidents prevailing in all urban areas. In this study, a novel dynamic approach is proposed for predicting citywide traffic flow based on weather. The proposed system utilizes the neuro-wavelet algorithm to select the required features for traffic prediction. The system also proposes the K Nearest Neighbor algorithm to predict the accuracy of accidents occurred in urban regions.

Published by: S. Bharath, Dr. S. Siamala Devi, M. Guruswamy, M. Aravind

Author: S. Bharath

Paper ID: V5I2-1275

Paper Status: published

Published: March 14, 2019

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Thesis

Analysis of object-oriented system quality model using soft computing techniques

Quality plays very important role in software industry because the objective of every software industry is to produce good quality software with in time and budget. Number of quality models have been proposed and used by various authors to build good quality software and these software quality models are also responsible for improving the performance, this improvement directly reflects the quality, increase users satisfaction and decrease the cost of quality. This report we have discussed and compared various quality models and soft computing techniques used for predicting the quality of software product and software system. It is found from the literature that there are lots of quality models and we measure quality based on their characteristics, so here, in this work we gives the characteristics definition and then comparison of quality models related to quality characteristics. In this study we exploring the information about soft computing technique for predicting the quality of a system or product and also develop a new quality model using soft computing (Fuzzy, Neural Network and Neuro-fuzzy) approach which is responsible to predict the software quality of an object-oriented system. In this report, we also identifies the most important factors of object-oriented system like Efficiency, Reliability, Reusability and Maintainability and also proposed a model based on these four factors that evaluating the quality of object-oriented system using soft computing technique i.e. Fuzzy Logic, Neural Network and Neuro-Fuzzy.

Published by: Anil Kumar

Author: Anil Kumar

Paper ID: V5I2-1269

Paper Status: published

Published: March 14, 2019

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Research Paper

Automatic speed control of a vehicle using RFID technology

Most of the road accidents occur due to traffic violation and over speeding. Running vehicle avoiding the traffic lights has become a major issue now a day. Observing traffic violation manually has become tedious and too complicated, on account of expanding the number of vehicles on the road. The number of a road accident is continually expanding and has turned into a noteworthy region of concern. To decrease the number of road accident we propose a system which controls the speed of vehicle consequently in any basic zone, without significant inconvenience to the driver. Here, we review a model dependent on RFID innovation. One RFID reader set inside the vehicle which reads the RFID tag set either at the traffic light or at speed limit board. A decision is taken by a controlling module in the vehicle and controls the speed appropriately.

Published by: D. Pavankumar, A. Selvarani, C. R. Vigneshkumar, Nimmalapalli Sri Harsha

Author: D. Pavankumar

Paper ID: V5I2-1254

Paper Status: published

Published: March 13, 2019

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Research Paper

Role of splenorrhaphy in selected cases of splenic trauma

The term splenorrhaphy actually represents a variety of “spleen sparing” techniques aimed at controlling the hemorrhage from a splenic injury while sparing the patient from the long-term immunologic consequences of splenectomy. This is a hospital-based observational interventional study done on 50 cases in Department of General Surgery NIMS University and Medical College and Hospital, Jaipur during January 2017- June 2018. The severity of the splenic injury can objectively be described with a grading system developed by the American Association for the Surgery of Trauma.

Published by: Dr. Gulrez Siddiqui, Dr. Ashok Kumar Gupta

Author: Dr. Gulrez Siddiqui

Paper ID: V5I2-1247

Paper Status: published

Published: March 13, 2019

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Review Paper

License plate detection and string conversion using Haar-like cascade classifier

This paper presents a core module for intelligent transportation based on the method Haar-like cascade classifier for high accuracy license plate detection. Many real-time car license plate detection is reasonable and effective only under certain conditions and assumptions. Therefore a real-time method Haar-like cascade and Tesseract search for Optical Character Recognition (OCR) has been proposed. Using accurate prediction and fast analysis strategy our proposed system can constructively out pass the problems in real-time scenarios. After binge analyzing the system with various inputs to establish that the proposed system is superior to the existing systems in terms of accuracy and time consumption.

Published by: Ashwin B., T. Goutham, P. Kalpana

Author: Ashwin B.

Paper ID: V5I2-1175

Paper Status: published

Published: March 13, 2019

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Review Paper

Walking stick with heart attack detection

The Walking Stick with Heart Attack Detection is equipment that is used daily to indicate a heart condition, to detect heart attack and to call for emergency help. It was designed specially to help senior citizens and patients with heart disease. It consists of three basic sub-projects Circuit, Analysis Algorithm, and Bluetooth Communication. The first unit is worn on the user’s wrist captures abnormal heartbeat signal from the patient., and the rest two are installed in the stick. The microcontroller on the stick runs a heart attack algorithm. A warning is given out to the person about his heart condition. The Bluetooth emergency calling system calls for medical help at the moment of the heart attack. The effectiveness of the proposed method is confirmed by experiments on a commercially available walking stick. Each of the three subprojects responded positively.

Published by: Cheedella Sai Teja

Author: Cheedella Sai Teja

Paper ID: V5I2-1149

Paper Status: published

Published: March 13, 2019

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