Christ University

About: Christ University is a education organization based out in Bengaluru, India. It is known for research contribution in the topics: Computer science & Convection. The organization has 2267 authors who have published 2715 publications receiving 14575 citations. The organization is also known as: Christ College & Christ University.

Research Challenges in Self-Driving Vehicle by Using Internet of Things (IoT)

Abstract: This article summarizes the benefits, safety hazards, and limitations of owning a self-driving vehicle. Finding a way to use an SDV(Self Driving Vehicle) is minimizing the risk for an accident is important for public and road safety. The actual rate of accidents for self-driving vehicles are lower than that for regular vehicles since the total number of miles of self-driving vehicles combined is nowhere close to that of regular fossil-fueled vehicles. Even though there is no proof that self-driving vehicles will not cause accidents, it is important to know that self-driving vehicles weren't the cause in all the cases they have been involved. That is, it will not be purely considered as the machine's mistake. The safety level of self-driving vehicles has been proven to be one of the best and that has led to the number of serious accident-related wounds in self-driving vehicles to remain lower than the standard level. Nevertheless, Internet of Things plays a major role in developing the self-driving vehicle concept.

Cancer Prognosis Prediction Using Balanced Stratified Sampling

Abstract: High accuracy in cancer prediction is important to improve the quality of the treatment and to improve the rate of survivability of patients. As the data volume is increasing rapidly in the healthcare research, the analytical challenge exists in double. The use of effective sampling technique in classification algorithms always yields good prediction accuracy. The SEER public use cancer database provides various prominent class labels for prognosis prediction. The main objective of this paper is to find the effect of sampling techniques in classifying the prognosis variable and propose an ideal sampling method based on the outcome of the experimentation. In the first phase of this work the traditional random sampling and stratified sampling techniques have been used. At the next level the balanced stratified sampling with variations as per the choice of the prognosis class labels have been tested. Much of the initial time has been focused on performing the pre_processing of the SEER data set. The classification model for experimentation has been built using the breast cancer, respiratory cancer and mixed cancer data sets with three traditional classifiers namely Decision Tree, Naive Bayes and K-Nearest Neighbor. The three prognosis factors survival, stage and metastasis have been used as class labels for experimental comparisons. The results shows a steady increase in the prediction accuracy of balanced stratified model as the sample size increases, but the traditional approach fluctuates before the optimum results.

Motivation and its Impact on Work Behavior of the Employees of the it Industry in Bangalore

Abstract: This Study is to make an attempt to find that employees are not motivated solely by money and also employee behavior is linked to the attitudes. In 1966, Herzberg interviewed a number of people in different professionals at different levels to find out two factors:- Those factors that motivated them in workplace. These factors were identified as factors that gave employees an incentive to work resulting in job satisfaction; they are also referred to as 'motivators'. These motivators increased the job satisfaction of the employee and further increased their efficiency. Those factors that prevented job dissatisfaction. In this study we are making an attempt to find out if IT professional's job satisfaction or dissatisfaction is caused by both the factors of motivation. In this study we want to find out the factors for the causes of satisfaction or dissatisfaction, or which are related to the motivator factors or to the hygiene factors. According to Herzberg, image of the company, work conditions, salary/ pay, supervision, interpersonal relations' are only hygiene factors but these can be motivating factors. The theory however does not much have a say in developing nations where hygiene factors cannot be taken into full consideration.

How well the log periodic power law works in an emerging stock market

Abstract: A growing body of research work on Log Periodic Power Law (LPPL) tries to predict market bubbles and crashes. Mostly, the fitment parameters remain confined within certain specific ranges. This pape...

Designing a Dynamic Topology (DHT) for Cluster Head Selection in Mobile Adhoc Network

Abstract: The mobile ad hoc networks (MANETs) are a collection of dynamic nodes facilitating communication from source to destination either using single or multi – hop forwarding mechanism. The nodes within the network possess energy constraints for which an effective clustering mechanism is used for facilitating communication between the nodes within and outside the clusters by designing a dynamic hybrid topology (DHT). The paper concentrates on clustering mechanism (EBCH) for reducing the energy consumption during communication from source to destination and number of parameters where analyzed in order to determine the selection of cluster head based on the energy consumption because this is directly related to the lifetime of the network. The implementation was carried out using MATLAB which offered an environment for performing simulation. The obtained results on comparison with conventional ENB and CPN algorithm improved the operations of cluster computation in ad hoc environments effectively in relation to the cluster head selection and reduced energy consumption.