Passenger service system
Increased competition in the commercial transportation industry has made service quality of every transportation agencies as one of the key competitive measures to attract passengers against their rivals in-flight services, particularly food delivery and waste collection, have a notable impact on perception of the overall airline’s service quality because they are directly and indirectly provided to passengers during flight. This is the scenario in every industry. This project consists of two sections, passenger section, they can request their needs by pressing a button in the keypad and it sends to the control room section and it is displayed on an LCD control room section. The requested needs may be food, water and if it is “any other help”, the air hostess directly goes to the requested person.
Published by: Abhiram P. S., Mohammed Aslam, Sreebal Anil V. A., Minnuja Shelly
Author: Abhiram P. S.
Paper ID: V5I2-1169
Paper Status: published
Published: March 14, 2019
Exploring the relative predictive efficiencies of spatial regression models
Spatial regression models are standard tools for analyzing data with spatial correlation. These models are broadly used in the social sciences for predicting the socio-economic factors. In this paper, we discuss about various spatial regression models and explain the concepts based on real data to demonstrate how to obtain and interpret relevant results. We describe prediction efficiencies of various predictors relative to the efficient minimum mean square error predictor in spatial models containing spatial lags in both the dependent variable and the error term. We consider Multiple Linear Regression Model (MLRM), Spatial Autoregressive Models (SAR), Spatial Autoregressive in the Error-term Model (SEM) and Spatial Durbin Models (SDMs) to estimate the literacy progress in the districts in Odisha as a result of changing socio-economic factors over time. The goodness of fit of the different models are compared along series of hypotheses about the performance of the specifications considering spatial relationships among the observations. The spatial analysis proved the existence of positive spatial autocorrelation and persistence of disparities in literacy attainment level across the regions during the analyzed period. The results of econometric analysis confirmed the expected positive impact of economic growth on literacy progress level as well as the necessity to incorporate the spatial dimension into the model.
Published by: Bhabani Shankar Das Mohapatra, Dr. E. G. Rajan
Author: Bhabani Shankar Das Mohapatra
Paper ID: V5I2-1258
Paper Status: published
Published: March 14, 2019
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
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
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
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
