{"title":"Institutional Investors Holdings on Earnings Management Market Reaction Intensity Affect Study","authors":"Ding Fei, Li-ping Su, H. Ning","doi":"10.1109/ICMTMA.2013.159","DOIUrl":"https://doi.org/10.1109/ICMTMA.2013.159","url":null,"abstract":"Individual investors are often difficult to recognize the earnings management behavior from accounting data. Institutional investors as investment experts, if they have the ability to recognize earning management and put it into the market price mechanism has become the focus of attention. We examined the relationship between the sample stocks' cumulative abnormal returns and earnings management. Finding a negative association between unexpected discretionary accruals and cumulative abnormal returns in the group of institutional holding higher. Show that institutional investors can identify the earnings management and put it into the market price mechanism.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"30 25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126831870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Influence of Cooling Circulating Water Flow on Back Pressure Variation of Thermal Power Plant","authors":"Nian Zhonghua, L. Jizhen, Liu Guangjian","doi":"10.1109/ICMTMA.2013.154","DOIUrl":"https://doi.org/10.1109/ICMTMA.2013.154","url":null,"abstract":"Under certain conditions, condenser pressure can be considered as back pressure of the steam turbine, which has great influence on the unit power. Based on the back pressure calculation model, influence on back pressure variation by adjusting circulating water flow is discussed in this paper. The model is developed from mechanism analysis of the condenser and cooling tower. Results show that cooling water inlet temperature is an important parameter during the back pressure calculation. Changing the unit output by adjusting circulating cooling water flow of the cold-end system has different effects on the unit output increment and decrement.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126883178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chaos Analysis of Reverberation from Short Distance Acoustic Detection in Deep-Sea Mining Environment","authors":"Zhao Haiming, Hong Yujiu, Xia Yimin, Cao Fei","doi":"10.1109/ICMTMA.2013.92","DOIUrl":"https://doi.org/10.1109/ICMTMA.2013.92","url":null,"abstract":"In order to research reverberations whether are chaotic in deep-sea mining environment, this paper reviews nonlinear dynamics relevant theories, the characteristic of selecting linear region is proposed for small data sets algorithm. Microtopography was detected in the simulative environment of deep-sea mining, Three kinds of typical reverberations were acquired in different working conditions. Phase space reconstruction parameters of the reverberations are estimated. The largest Lyapunov exponents of the reverberations also are calculated in phase space, the largest Laypunov exponents are greater than 0 and less than 0.1. In contrast to white Gaussian noise, this paper demonstrates the chaotic dynamics of reverberations generated from microtopography detection in the deep-sea mining complex environment. The results provide a new approach of nonlinear dynamics to model and process reverberation generated from short distance and high frequency acoustic detection in deep-sea mining complex environment.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124350682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nonlinear Dynamic Fault Dignosis Method Based on DAutoencoder","authors":"Ni Zhang, Xue-min Tian, Lianfang Cai","doi":"10.1109/ICMTMA.2013.182","DOIUrl":"https://doi.org/10.1109/ICMTMA.2013.182","url":null,"abstract":"In order to detect faults in chemical industry process effectively, a nonlinear dynamic fault detection method using DAutoencoder is proposed. Correlation analysis is applied firstly to establish autoregressive model. Then weights of Auto encoder can be obtained by improved differential evolution (DE) algorithm. Meanwhile, the least square method is used to prune nodes every layer to simplifying network structure. Features of training sample and reconstruction residuals can be extracted by DAutoencoder. Monitoring statistic is developed and confidence limit is computed by kernel density estimation at last. According to correlation between measured variables and nonlinear features, the contribution of each variable is calculated to give contribution plots. Simulation results of Tennessee Eastman (TE) process show that DAutoencoder-based method is more effective than KPCA (Kernel Principal Component Analysis) for process monitoring, and it can also realize fault identification.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127839489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"HVAC Room Temperature Prediction Control Based on Neural Network Model","authors":"Shujiang Li, Shuang Ren, Xiangdong Wang","doi":"10.1109/ICMTMA.2013.151","DOIUrl":"https://doi.org/10.1109/ICMTMA.2013.151","url":null,"abstract":"HVAC (Heating Ventilating &Air-conditioning) system is a nonlinear complex system with delay. It is very difficult to build a mathematical model of HVAC and implement model-based control. Since a BP (Back Propagation) neural network can fully approximate any nonlinear system with high recognition, a model of an HVAC system is built by using the BP neural network and such system is controlled by a generalized predictive control method. An experimental system of central air-conditioning is build in the lab and a simulation experiment shows that the neural network prediction model is robustness and it has a good tracking capability, the generalized predictive control has been chosen as an excellent controller of this nonlinear system.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127978484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"State Identification Based on Dynamic T-S Recurrent Fuzzy Neural Network Observer","authors":"Hou Hai-liang, Yang Tong-guang","doi":"10.1109/ICMTMA.2013.252","DOIUrl":"https://doi.org/10.1109/ICMTMA.2013.252","url":null,"abstract":"Traditional fuzzy neural network is a static map, not suitable for induction motor state identification. To improve the accuracy of system identification, a dynamic TS recurrent fuzzy neural network observer was proposed. The dynamic back-propagation algorithm was derived from dynamic recurrent neural network observer model, which using Lyapunov Theorem to prove that the observer with global convergence. Simulation results show that: Because dynamic TS recurrent fuzzy neural network observer use the current data and historical data for state recognition at the same time, it has wonderful performance in the recognition accuracy and stability and better convergence than the traditional fuzzy neural network observer.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127555179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Boundary Layer of the Boiler Flame Combustion Zone Based on the ARM","authors":"Huahai Qiu, Youcheng Xie","doi":"10.1109/ICMTMA.2013.61","DOIUrl":"https://doi.org/10.1109/ICMTMA.2013.61","url":null,"abstract":"This paper mainly introduces the extraction methods about the boiler flame area of boundary layer. Using the binarization arithmetics, CCD image data will become a binary 2 direction matrix. Based on the ARM of the system speed processing, ARM will extraction the boiler flame area boundary layer position. Unexploded area, Fire area, Combustion area of the boundary layer are the digital image by circle overlap method to show in the screen and finally achieve the boiler flame district boundary layer. ARM system will analysis and extraction about it and the power plant will get effective data.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122202691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Influence of Threshold Segmentation on Star Pair Angular Separation Measurement Accuracy","authors":"Qi Li, W. Xu, Zhi-hai Xu, H. Feng","doi":"10.1109/ICMTMA.2013.158","DOIUrl":"https://doi.org/10.1109/ICMTMA.2013.158","url":null,"abstract":"Threshold segmentation and star extraction are important parts of star image processing, the threshold value not only influences the number of segmentation-derived stars but also has a great impact on the accuracy of subsequent star positioning. According to the disadvantages of common threshold segmentation algorithms, a kind of weighted iterative threshold algorithm was put forward, which introduces two weight factors and can obtain suitable threshold value for segmentation and number of stars meeting requirements through selecting suitable weight values. With star image acquired by CCD camera as the experimental target, we compared the accuracy of star pair angular separation at different threshold values for segmentation, and verified that our method has an improved effect, compared with the traditional iterative threshold algorithm.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130625326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intelligent Security Video Surveillance System Based on DaVinci Technology","authors":"Cui Baoxia, Cui Junjie, Duan Yong","doi":"10.1109/ICMTMA.2013.163","DOIUrl":"https://doi.org/10.1109/ICMTMA.2013.163","url":null,"abstract":"With social security is becoming increasingly serious, our country need a large number of security personnel to do the works of security every year. In view of the situation, a system of intelligent security video surveillance based on DaVinci technology has been studied and developed in this paper. The system uses some algorithms, including the moving target detection and tracking, face detection and recognition, image compression. The system functions are increased, and the experiment results show that the system can replace of the security personnel, and realize the features of intelligent security.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116795825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Research for AC Drive System of Electric Locomotive","authors":"Jianlin Zhu, K. Liu, Yu Tu, Yi Yuan, Rong Zhen","doi":"10.1109/ICMTMA.2013.31","DOIUrl":"https://doi.org/10.1109/ICMTMA.2013.31","url":null,"abstract":"Electric locomotive work in harsh conditions, for its drive system, the AC drive system is more adaptable than the DC drive system. A novel EMF-oriented vector control method is studied in AC drive system, and industrial test of the control strategy is feasible and effective.","PeriodicalId":169447,"journal":{"name":"2013 Fifth International Conference on Measuring Technology and Mechatronics Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130996490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}