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International Journal of Engineering and Advanced Research Technology

Volume 3 Issue 10 (October 2017)

S.No. Title & Authors Page No View
1

Title : A risk assessment model for college students entity entrepreneurship program based on fuzzy comprehensive evaluation method

Authors : Li Ling, Li Zhongyuan, Hou Li, Yu Xing

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Abstract :

In this paper, according to the characteristics of college students entity entrepreneurship, constructing risk assessment index system of entity entrepreneurship project risk in human resource management, market, management, financial and production and so on, establishing fuzzy comprehensive evaluation model to evaluate the entity undertaking project risk. The research results show that in college students entity undertaking project, the risk of management and production factors account for the main part of risk, the second is financial risk, the lower is the risk of market and human resource management. In order to reduce othe risk of entrepreneurship and increase the success rate of entrepreneurship, it is suggested that college students should strengthen their control over the management risk and production risk when they start their own business.

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2

Title : Evaluation on the smart growth of cities based on methods of comprehensive evaluation and TOPSIS

Authors : Mengshan Zhu

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Abstract :

Many communities are implementing intelligent growth plans to try to address remote, sustainable planning goals. The evaluation of urban intelligent growth and making a more reasonable plan is a real problem. We define the smart growth index of cities according to the three E’s and ten principles respectively, and establish the index system. And then presents a comprehensive evaluation method —TOPSIS model based on principal component analysis. This paper gives the evaluation steps of the comprehensive evaluation method. In order to test the feasibility and validity of the proposed evaluation method, we use MATLAB to fetch the data of 30 virtual cities in the range of index and evaluate in addition to rank the 30 virtual cities. Furthermore, in order to test the robustness of the evaluation model, we perform the sensitivity analysis with two index which is the most influential and the least influential index. Last, we analyse the impact that caused by the change of index. The analysis results show the stability of our proposed model.

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3

Title : Development & Thermal Behavior of Zirconia Filled Polyester Composites

Authors : Neeraj Verma, Mukesh Kumar Verma

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Abstract :

A numerical simulation of the heat-transfer process within polyester matrix composite filled with micro-sized zirconia particles using finite element method is proposed in this thesis. Three-dimensional spheres-in-cube lattice array models are constructed to simulate the microstructure of composite materials with zirconia content ranging from about 1.41 to 11.31 vol% and the effective thermal conductivities of the composites are estimated. A commercially available finite-element package ANSYS is used for this numerical analysis. The result shows that the effective thermal conductivity (keff) increases with increase in the volume fraction of the zirconia in the polyester matrix. The simulated values are compared with calculated keff values obtained from other established correlations such as Rule-of-Mixture (ROM), Maxwell’s model and Lewis Neilson model. Similar class of composite is fabricated for different filler loading and the conductivity values are measured experimentally as well for validating the developed numerical model. This study reveals that the incorporation of zirconia particles results in enhancement of thermal conductivity of polyester thereby increasing its heat transportation capability. This results that the new class of composite material can found its potential application in the microelectronics components.

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4

Title : Study on Correlation between Driving Emotion and Intention in Car-following State

Authors : Yun-yun Wang, Ya-qi Liu, Xiao-yuan Wang,Yi-fei Sun, Liping-Liu, Hui-fang Yuan

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Abstract :

Driving emotion is a relatively intense psychological reaction of drivers to external stimuli. Driving intention is a self-inner state formed by the driver during the driving process, which is related to the driving environment and the state of vehicle and can determine the driving behavior of the next moment. Emotion regulates people's cognition and behavior, and intention is the indicator of real behavior. The research on correlation of automobile drivers' emotions and intentions is an important precondition to realize the accurate identification of driving intention and the active vehicle safety warning. In this paper, the car-following state is taken as an example, and the human-vehicle-environment multi-source dynamic data of the drivers in different emotional state is obtained with the virtual driving experiment. Then one-way analysis of variance is used to analyze the correlation between driving emotion and intention. Results show that the influence factors of driving intention (driver's speed estimation ability, operation reaction time and attention etc.) are significantly different in the four emotional states of happiness, anger, sadness and fear, which indicates that emotion has significant influence on driving intention.

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