http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Evaluation and Prediction of Driver's Bad Driving Behavior Based on the Moving Vehicle Attitude
Huaikun Xiang,Shaopeng Yang,Shi An,Shaoyun Ren 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.11
The driver takes leading part in the complex model of "human-vehicle-road-environment". The driving behavior has the characteristics of randomness, impulsivity and autonomy etc. which make it difficult to study the driver's driving behavior directly. Monitoring vehicle attitude is an important element of proactive safety management of public transport vehicles. This paper constructs a data acquisition system by using an InvenSense's 6-Axis inertial measurement unit (IMU) as the center of this system, which can sense the vehicle attitude information to make up for the lack of driver senses, and then builds fuzzy synthetical evaluation model which is combined with ISO 2631-1:1997/Amd 1:2010 standard. Finally, prediction of the driver's driving behavior in transient term has been established with Elman neural network method.
Five Forces Model of Computational Power: A Comprehensive Measure Method
Meixi Wu,Liang Guo,Xiaotong Yang,Lina Xie,Shaopeng Wang 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.7
In this paper, a model is proposed to comprehensively evaluate the computational power. The five forces model of computational power solves the problem that the measurement units of different indexes are not unified in the process of computational power evaluation. It combines the bidirectional projection method with TOPSIS method. This model is more scientific and effective in evaluating the comprehensive situation of computational power. Lastly, an example shows the validity and practicability of the model.