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96711 articles
Series: Advances in Engineering Research
Proceedings Article
Summary of Evaluating Inertial Gyro Storage Life Based on Accelerated Life Test
Huizhi Li, Shaoguang Wang, Chen Huang, Xihui Mu
In this paper, the life evaluation of inertial gyro components of information-based ammunition control system is carried out by using accelerated life test. The present research situation of accelerated life test technology is discussed, and the basic principle, shortcomings, the general process of evaluating...
Series: Advances in Engineering Research
Proceedings Article
Research on the seismic simulated vibration test machine for the aseismatic performance of elevator
Xiao Lv, Dingdong Zou, Lei Zhang, Ligui Kang, Jingjie Yuan
In view of the running safety in elevator under earthquake, several damage forms of elevator are presented and its analysis model is set up. Then some earthquake protective measures for elevators are proposed. In order to inspect the seismic behavior of the elevator, the seismic simulated vibration test...
Series: Advances in Engineering Research
Proceedings Article
Research of Structural Reliability Analysis Based on Nonlinear Weighted Response Surface Methodology
Mingren Xu, Zongjie Cao
Response surface method(RSM) is one of the effective methods to solve the reliability problem of implicit structure. In this paper, a new weighting method is proposed based on the response surface method to solve the nonlinear problem. The weighted design method is used to determine the design point...
Series: Advances in Engineering Research
Proceedings Article
Impact of Community Opening on Road Traffic
Lin Chen
This paper aims to analyze the effect of open community system on road traffic. Based on the evaluation index system of the impact of community opening on road traffic, a space-time dynamic analysis model of vehicle traffic capacity is established to describe the urban road traffic situation. Firstly,...
Series: Advances in Engineering Research
Proceedings Article
A method of go recognition based on Deep Learning
Heng Ran, Pengyun Song, Yanghui Liu, Lei Yu, Hang Zhou, Yinrui Zhang
In order to obtain the image information of go, we use the traditional method to process the image, but the traditional method has great limitation. The accuracy is low, and the external factors can easily affect the processing result. In order to solve the limitation of traditional image processing...
Series: Advances in Engineering Research
Proceedings Article
Target Detection and Tracking Modeling of Fire-control Radar
Hao Xu, Wenhao Lian, Qiang Xiao, Qian Zheng, Zhenqin Fan
Target detection and tracking of fire-control radar is the primary task of air defend combat and a key of fire-control system. First, wording process of fire-control radar system is analyzed. Then signal simulation modeling and mathematical modules are proposed. Finally, signal simulation of dynamic...
Series: Advances in Engineering Research
Proceedings Article
Rotor Position And Velocity Estimation Of SMO Based On PLL
Xueliang Ren, Mingjiang Wang, Jun Chen
In this paper, a sliding mode observer (SMO) based on PLL and rotary coordinate is designed for sensorless control of permanent magnet synchronous motors (PMSM). By the proposed SMO algorithm, the control system has a better dynamic performance?And the rotor speed error, the estimated speed, the rotor...
Series: Advances in Engineering Research
Proceedings Article
Research on the Relationship between Iron and Steel Production and Air Quality in Beijing - Tianjin - Hebei Region ——Air Quality in Beijing and Tianjin as the Goal
Jian Li, Zefan Jin
This paper mainly studies the effects of monthly production of iron and steel in eight cities in Hebei on the air quality of Beijing and Tianjin. First, this paper uses 10 cities to study whether iron and steel production has an impact on air quality, and the conclusion is that iron and steel production...
Series: Advances in Engineering Research
Proceedings Article
Research on Model of Feasible Timing of Traffic Light for Intersection Control
Jiangqun Wang, Ning Cao, Guozhong Yao
Traffic lights play a significant role in regulating traffic flow. Due to the use of stationary phase and fixed cycle in traditional systems, it is not feasible to adjust the phase time to meet real-time traffic demand, resulting in delays, inefficiencies and other losses for traffic participants. This...
Series: Advances in Engineering Research
Proceedings Article
Optimization for Train Schedules of Full-length & Short-turn Routing Mode in Urban Rail Transit
Yansong Liu, Baohua Mao, Mengna Li
The train schedule is the basis of operation organization in urban rail transit. According to the properties of the full- length & short- turn routing mode in urban railway transit, a multi- objective nonlinear mixed integer programming optimization model of train shedule for a single transit line is...
Series: Advances in Engineering Research
Proceedings Article
Research on Financial Risk Evaluation of Railway Logistics Based on BP Neural Network Model
Mengna Li, Xiangfei Yang, Congcong Xin, Jie Zhang
This paper analyzes the risk factors of developing logistics finance business in railway enterprises, identifies the risks from two aspects of external risk and internal risk, and constructs the evaluation index system of railway logistics financial risk. Based on the analysis of BP neural network structure,...
Series: Advances in Engineering Research
Proceedings Article
Safety Evaluation of Road Tunnel Based on Fuzzy AHM
Qiming Yao, Shuo Liu
In order to improve the operation safety of road tunnels, a new evaluation method of safety evaluation was proposed. Firstly, the index system was established by comprehensive considering all kinds of traffic safety attribute, including road engineering, traffic safety facility, traffic flow condition...
Series: Advances in Engineering Research
Proceedings Article
The application of the electrical automation in power system
Laiyun Hou
On the basis of introducing the development of electrical automation, this paper detailedly analyzes the application of computer technology and PLC technology, which are specific technologies of electrical automation used in the power system. The purpose of this paper is to make people have a deeper...
Series: Advances in Engineering Research
Proceedings Article
Research on Train Over-taking Organization of Urban Rail Transit
Junjun Liu, Baohua Mao
Study on train over-taking organization of urban rail transit and propose calculation methods of local train's waiting time as well as the length of the cross section. Combining with actual operation of urban rail transit, the effects of departure interval, tracking interval and the maximum operating...
Series: Advances in Engineering Research
Proceedings Article
Installation and Docking Technology of Control Module for Subsea Production System
Lan Zhang, Yongzhe Li, Yonghong Meng, Liquan Wang, Peng Jia
The docking technology of the subsea production system control module (SCM) is a key part of installation. If the docking accuracy is not reached, or poor stability when docking, the butt joint between the hydraulic joint and the electrical joint cannot be accomplished, may also make the subsea control...
Series: Advances in Engineering Research
Proceedings Article
The Study of Cognitive Radio Prediction Based on Big Data
Haoxiang Sun, Changxing Chen, Yunfei Ling, Jiyao Huang, Xiangyang Lin
With the advent of the age of big dat, the application of big data to predict is a powerful way to solve various problems. However, for the increasingly tense spectrum resources, the prediction of cognitive radio based on big data is an inevitable trend. In this paper, the advantages of big data prediction...
Series: Advances in Engineering Research
Proceedings Article
The Influence of Tail Fitting of Truck Effect Samples on Maximum Truck Effect in Reference Period
Junli Liu, Jinhao Zhang, Lei Wang, Wencheng Yu
In order to study the influence of the tail of the fitted sample distribution curve of vehicle load effect on the maximum value distribution in the reference period of vehicle load effect, multi-model normal distribution curve, straight line, parabola, exponential curve and POT model based on Pareto...
Series: Advances in Engineering Research
Proceedings Article
A Compact Bias T Used for Front-end of Millimeter Imaging System
Baohua Yang, Huajie Zou, Jungang Miao
As millimeter wave (MMW) electronic technologies have matured, MMW receiver research is also in the rapid development which includes front-end and frequency synthesizer. They all needed isolation between RF and DC bias. The good design bias T which can realize high isolation between DC bias source port...
Series: Advances in Engineering Research
Proceedings Article
Research of Theoretical Model and Transmission Efficiency of ZC1 Worm Dynamic Lubrication
Dongyue Qu, Chunyu Zhang, Jianan Xu, Rilai Zhang, Shengxi Zhang
The dynamic pressure lubrication theoretical model of worm gear ZC1 is established, the formula of hydrodynamic lubrication discretization for the calculation of the mixed friction efficiency of circular cylindrical worm and worm pair is achieved and the formula and process for solving the hybrid friction...
Series: Advances in Engineering Research
Proceedings Article
Research on Educational Video Retrieval Method Based on Audio Transcription Technology
Muqiang Zhao, Wenxi Zheng, Yan Ye, Min Wu
In the modern education platform, there are many problems, such as insufficient retrieval accuracy and single retrieval process, this paper conducts an in-depth investigation and analysis of the features of educational videos, combined with the cutting-edge audio transcription technology and text processing...
Series: Advances in Engineering Research
Proceedings Article
The Study of SAR Image Change Detection Algorithm Based on the Difference Graph Fusion
Chunhua Fu, Xiaojing Wang, Lijun Zhang, Liying Qiao
SAR image change detection technology is the two picture in the same area, the different time periods for SAR image detection, quantitative and qualitative analysis of the change area, thereby gaining interest area change a technology of information. SAR image change detection technology is of great...
Series: Advances in Engineering Research
Proceedings Article
Research on Promotion of Emergency Rescue Strategy of General Aviation for Earthquake Disaster in Mountain Area
Liang Zhang
This paper analyzes the influencing factors of earthquake emergency rescue of general aviation in mountain area, the relevant knowledge of operational research is applied, the influencing factors of emergency rescue are analyzed and evaluated by analytic hierarchy process; according to the analysis results,...
Series: Advances in Engineering Research
Proceedings Article
[WITHDRAWN] A Relevance Vector Machine Based on Gaussian Mixture Kernel
Mi Tong, Fang Liu, Quan Qi, Wangchen Qin
Relevance vector machine (RVM), a sparse Bayesian kernel method in machine learning, has been well-known for its sparsity and probabilistic predictions. Like other kernel methods, it use the kernel functions to map the input instances into higher dimensional space for problem simplicity. At present,...
Proceedings Article
An Empirical Investigation of Internet Banking Adoption from Bank Personnel Perspective
Wen-Hsiung Wu, Yi-Ming Tai, Mei-Se Chien, Len-Kuo Hu
About the issue of Internet banking adoption, based on technology acceptance model (TAM), past researches mainly focused on the customers, but seldom researches looked at the Internet banking adoption from banks and their personnel. The bank personnel have financial professionals and are crucial users...
Proceedings Article
On Evolution of Bank Runs
Jie-Shin Lin
Bank runs are usually happened as such that depositors panic and following the consequence of interaction between depositors withdraw their deposits. It is an issue of debt obligation between bank and depositors and an issue of bank capitals distribution among depositors. We consider the role of information...
Proceedings Article
Artificial Neural Networks in Insurance Loss Reserving
Peter Mulquiney
In this paper we analyse insurance data using Artificial Neural Networks (ANN)[1]. In particular, we use ANN for the problem of Loss Reserving. Loss reserving is the practice of estimating the future payments for the claims which have occurred on an insurance portfolio. A difficulty in forecasting future...
Proceedings Article
An efficient real-time system for active video conferencing
Leila Sabeti, Q. M. Jonathan Wu, Jason Z. Zhang
This paper describes a new approach for implementation of an efficient real-time system proper for using in active video conferencing sessions. A camera tracks presenter’s head and its movements and orientations in an unconstrained environment automatically by its pan and tilt actions. Head or face is...
Proceedings Article
Volatility Dynamics of the Greater China Stock Markets: A Multivariate Asymmetric Approach
Kin Yip Ho
This paper examines the volatility dynamics of the greater China stock markets (Shanghai A- and B-shares, Shenzhen A- and B-shares, Taiwan, and Hong Kong) by employing a multivariate (tetravariate) framework that incorporates the features of asymmetries, persistence, and time-varying correlations, which...
Proceedings Article
Is Rate of Stock Returns a Leading Indicator of Output Growth? In the Case of Four East Asian Countries
Pei-Fen Chen, Chien-Chiang Lee, Swee Yoong Wong
The link between stock returns and economic growth has been an important research topic in the financial economic literature. The purpose of this study is to employ a threshold vector autoregressive (TVAR) approach in order to investigate the non-linear relationship between stock returns and output growth...
Proceedings Article
New Methods for Evaluating Students' Answerscripts Using Vague Values
Shyi-Ming Chen, Hui-Yu Wang
In this paper, we present two new methods for evaluating students’ answerscripts using vague values, where the evaluating marks awarded to the questions in the students’ answerscripts are represented by vague values. The vague mark awarded to each question of a student’s answerscript can be regarded...
Proceedings Article
A new design of laser phase-shift range finder independent of environmental conditions and thermal drift
Shahram Mohammad Nejad, Kiazand Fasihi
This paper presents a technique to improve the performance of laser phase-shift range finders. The phase measurement is performed by using a new method to extract the phase-shift data from the peak of received and transmitted intermediate frequency signal amplitudes. The pulse width modulation is used...
Proceedings Article
Accuracy Improvement in the Nano-Displacement Measurement Based on the Doppler-Interferometry Method by Cross-talk Reduction
Saeed Olyaee, Shahram Mohammad Nejad
In this paper, accuracy improvement in the displacement measurement systems using Doppler-interferometry method is presented. The cross-talk error reduction methods are also discussed. Based on the mentioned method, a new nano-displacement measurement system is designed. In the designed system, the signal...
Proceedings Article
Nanometric Displacement Measurement System Using Three-Longitudinal-Mode He-Ne Laser
Shahram Mohammad Nejad, Saeed Olyaee
In this paper, design and simulation of a nanometric displacement measurement system is discussed. The combination of the Doppler effect and interferometry method is being used. A stabilized three-longitudinal-mode He-Ne laser with 632.8nm wavelength and 35cm cavity length is used. Its primary and secondary...
Proceedings Article
Feasibility Assessment of Support Vector Regression Models with Immune Algorithms in Predicting Fatigue Life of Composites
Ping-Feng Pai, Wei-Chiang Hong, Feng-Min Lai, Jia-Hroung Wu, Shun-Lin Yang
Predicting fatigue life of composite materials is essential to increase reliability of manufacturing systems. The predicting techniques for fatigue life of composite materials are not widely investigated. The support vector regression (SVR) is an emerging forecasting technique and has been applied in...
Proceedings Article
The Influence of Investor Psychology on Disposition Effect
Shu Chun Hsiao, Sun Pi-Chuan
In 1980s, many empirical researches’ findings (i.e., Shiller(1984), Thaler (1985) et al. ) did not support efficient market hypothesis (EMH). Previous studies (e.g., Bernartzi and Thaler, 1995) related to behavioral model suggest that certain market anomalies are consistent with the presence of irrational...
Proceedings Article
The Sequential Compound Option Pricing with Random Interest Rate and Application to Project Valuation
Meng-Yu Lee, Fang-Bo Yeh, An-Pin Chen
This paper proposes the pricing formula of sequential compound options (SCOs) with random interest rate and the applications call Milestone Project Valuation (MPV). Most compound options in literatures are 2-fold with constant parameters through time. The multi-fold compound options are just sequential...
Proceedings Article
The Indicators of M&A or Green Field Investment Behavior: the Evidence from Power Industry
Qiusheng Zhang, Guanghui Ye, Yunhua Chen
M&A and green field investment (GFI) are very important methods of company growth. Each of the investment ways could bring different outstanding achievement and development of company, so it is very important to choose the way of investment. This paper discusses the boundary of M&A and green field investment...
Proceedings Article
An Interactive Intelligent Search Engine Model Research Based on User Information Preference
Dan Meng, Xu Huang
Web service is very important for both e-commerce and e-government. However, web service process based on syntax level can’t deal with some user query very effectively. In order to make user get more information on the internet, semantic web is presented and a lot of related research results have been...
Proceedings Article
Mining Objects Correlations to Improve Interactive Virtual Reality Latency
Shao-Shin Hung, Hsing-Jen Chen, Damon Shing-Min Liu
Object correlations are common semantic patterns in virtual reality systems. They can be exploited for improving the effectiveness of storage caching, prefecthing, data layout, and minimization of query-response times. Unfortunately, this information about object correlations is unavailable at the storage...
Proceedings Article
Adaptive PI Control of Piezoelectric Systems Using Takagi-Sugeno Fuzzy Logic
Gwo-Ruey Yu
This paper presents the nano-positioning control of a piezoelectric platform. A Bouc-Wen model is established to describe the nonlinear hysteretic effect of piezoelectric systems. Three kinds of compensators, traditional PI controller, PI-like fuzzy logic controller (FLC) and adaptive PI-FLC controller,...
Proceedings Article
Investigate C+L Band EDFA/Raman Amplifiers by Using the Same Pump Lasers
Shien Kuei Liaw
A novel hybrid C+L band EDFA/RFA is designed to share the 1480 nm pump laser(s). The concepts are based on three-level amplification mechanism for the C band EDFA and Raman shift amplification mechanism for the L band RFA, respectively. It has the advantage to simplify the pump source design. The optimum...
Proceedings Article
High Performance Ring-Cavity Tunable Lasers
Shien Kuei Liaw
We report the investigation of ring cavity tunable laser, which is based on FBG technology. The laser linewidth, power variation and tuning range are 0.015 nm, 0.5 dB and 31.0 nm, respectively. The ring-cavity tunable laser also has 60 dB of SMSR to insure high-quality operation. With the features mentioned...
Proceedings Article
CPW Filters with Defected Ground Structures for RF and Microwave Applications
Yeong-Lin Lai, Pei-Yen Cheng
New coplanar waveguide (CPW) filters with a fork-shaped defected ground structure (DGS) are proposed for radio-frequency (RF) and microwave applications. The miniature CPW DGS filters developed are based on the silicon technology. The filters are able to provide the bandstop characteristics with high...
Proceedings Article
Variable Selection Method Affects SVM-based Models in Bankruptcy Prediction
Chih-Hung Wu, Wen-Chang Fang, Yeong-Jia Goo
This paper examined bankruptcy predictive accuracy of five statistics models--discriminant analysis logistic regression, probit regression, neural networks, support vector machine (SVM), and genetic-based SVM (GA-SVM) that influenced by variable selection. Empirical results indicate that the SVM-based...
Proceedings Article
A User-centric Intrusion Detection System by Using Ontology Approach
Shao-Shin Hung, Damon Shing-Min Liu
In the security infrastructure, intrusion detection has become an indispensable defense line in face of increasing vulnerabilities exposed in today’s computing systems and Internet. In this paper, our approach uses ontologies as a way of grasping the knowledge of a domain, expressing the intrusion detection...
Proceedings Article
A Study on Imputing Censored Observations for Exponential Distribution Based on Random Censoring
Kuo-Ching Chiou
Censoring models are frequently employed in reliability analysis to reduce experimental time. There are three censoring model: type-I, type-II and random censoring. In this study, we focus on the right-random censoring model. In the previous literature, an imputation of the censored observation is considered...
Proceedings Article
Novel BCD Circuits Design Using And-Or-Inverter Gate and Its Quantum-Dot Cellular Automata Implementation
JiaChun Lin, JenYin Yeh, WeiChih Tsai
Quantum-dot cellular automata (QCA) provide a novel electronics paradigm for information processing and communication. A basic quantum-dot cell consists of several quantum dots with two excess electrons. A binary coded decimal (BCD) and a decimal coded binary (DCB) circuit based on QCA logic gates: the...
Proceedings Article
Applying XCS Model to Spread Trading of Taiwan Stock Index Futures
Jung-Bin Li, Shih-Chuan Fu, An-Pin Chen
This study attempts to find the possibility of making relatively higher profit with lower risk when trading futures commodities. The system applies XCS classifiers to explore the rules of spread trading of these commodities. Our simulation holds a trading strategy that in every transaction, the proposed...
Proceedings Article
An Empirical Study for Dynamic TIPP Policy Using XCS with Knowledge Rules
Mei-Chih Chen, Ming-Chia Huang, An-Pin Chen
The purpose of this empirical study is intended to investigate XCS (Extended Classifier System) based model with knowledge rules for dynamic TIPP (Time Invariant Portfolio Protection) policy. There are two XCS-based agents in the proposed model (MA-TIPP).One agent dynamically optimizes Multiple and Tolerance...
Proceedings Article
Learning Martingale Measures From High Frequency Financial Data to Help Option Pricing
Hung-Ching (Justin) Chen, Malik Magdon-Ismail
We provide a framework for learning risk-neutral measures (Martingale measures) for pricing options from high frequency financial data. In a simple geometric Brownian motion model, a price volatility, a fixed interest rate and a no-arbitrage condition suffice to determine a unique risk-neutral measure....