{"title":"Stock Market Forecasting Algorithm Based on Improved Neural Network","authors":"Bihui Luo, Yuan Chen, Weichen Jiang","doi":"10.1109/ICMTMA.2016.154","DOIUrl":"https://doi.org/10.1109/ICMTMA.2016.154","url":null,"abstract":"This paper further analyzes the problems in stock short market forecasting and compares multiple stock price forecasting algorithms. It also discusses the feasibility of BP neural network, PCA method and Genetic Algorithm in short market forecasting. For the defects of traditional BP algorithm which often traps into local minima, in forecasting accuracy, we optimize the BP neural network and establish a GA-BP algorithm based forecasting model. The experiments adopt the Shanghai index data to make simulation and provide corresponding error analysis. The results show that the GABP model proposed in this paper has certain improvement in stock price forecasting accuracy.","PeriodicalId":318523,"journal":{"name":"2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467204","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":"Commercial Housing Sales Forecasting Model Based on Grey System","authors":"Liu Yan","doi":"10.1109/ICMTMA.2016.43","DOIUrl":"https://doi.org/10.1109/ICMTMA.2016.43","url":null,"abstract":"The study of this paper begins from the real status of commercial housing market in our country. According to the research of commercial housing demand in certain firsttier city, we choose the method of grey theory and computer simulation. We develop our scheme around grey system theory and establish GM(1,1) model to forecast the sales of commercial housing market. It can further make determination on the production scale of regional commercial housing market, to provide a scientific base for enterprise investment and decision. It can also strength the risk resistance capacity of real estate developers and improve the profitability level of commercial housing project.","PeriodicalId":318523,"journal":{"name":"2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"278 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123102439","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":"The Application of Digital Electronics in Networking Communication","authors":"Zhao Xin-Li, Wang Hong-ying","doi":"10.1109/ICMTMA.2016.168","DOIUrl":"https://doi.org/10.1109/ICMTMA.2016.168","url":null,"abstract":"Digital electronics is electronics that transfer of receive digital signals. The signals handled by digital electronics are discrete bands of analog levels -- not the continuous ranges. Levels within a band of values represent the same value in digital electronics system. In many cases, the number of these states is two, or binary code which means states are separated by two kinds of voltage bands: one near a reference value (also is called ground or zero volts), and the other a value which locates near the supply voltage. The \"false\" (\"0\") and \"true\" (\"1\") values of the Boolean domain is used to indicate the two states usually.","PeriodicalId":318523,"journal":{"name":"2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116786920","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":"Research on the Innovation of CDIO Training Model for the Students Majored in Human Resource Management Based on Cloud Computing","authors":"Mo Yunhui, Wang Yun, Li Huanhuan","doi":"10.1109/ICMTMA.2016.137","DOIUrl":"https://doi.org/10.1109/ICMTMA.2016.137","url":null,"abstract":"In order to solve the problems such as teaching method is single, teaching content is obsolete and the lack of practice teaching resources in the teaching of human resource management, a new model of human resource management based on cloud computing is proposed, which makes human resources management teaching methods multiply, teaching contents updated timely and practice teaching resources sharing rich, to narrow the gap in the resources of the colleges and universities, to speed up the construction of college teachers. Finally enterprises and colleges can truly achieve a win-win situation.","PeriodicalId":318523,"journal":{"name":"2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124799828","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":"Performance Analysis of a Moving Target Tracking Method Based on Computer Vision","authors":"Ying Zheng, S. Xiao","doi":"10.1109/ICMTMA.2016.117","DOIUrl":"https://doi.org/10.1109/ICMTMA.2016.117","url":null,"abstract":"With the rapid development of computer technology, image processing technology is significantly improved. In this paper, a method of moving target tracking based on computer vison is studied. By combining with the results of the Marr image research, we first introduce the framework of computer vision theory via a bottom-up visual tracking processing method. To be specific, we take the rocket as an example. Consecutively applying the segmentation algorithm and the tracking algorithm, we find that the accuracy of separation and the instantaneity of image can be enhanced, which makes a significant contribution to the target tracking technology.","PeriodicalId":318523,"journal":{"name":"2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125961647","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":"Research on the Security Problem in Windows 7 Operating System","authors":"Fan Yile","doi":"10.1109/ICMTMA.2016.139","DOIUrl":"https://doi.org/10.1109/ICMTMA.2016.139","url":null,"abstract":"Windows 7 is a personal computer operating system developed by Microsoft Corporation, and it belongs to Windows NT family. This paper concentrates on the topic of analyzing the security level of Windows 7 Operating System, and security level of the information system highly depends on the operating system. To estimate the security grade of Windows 7 operating system, we use the graph model to describe the relationships between vulnerabilities. In the proposed graph model, AND Structure and OR Structure are exploited. To testify the performance of the proposed security evaluation method, we collect 1358 Windows vulnerabilities to construct a dataset. In our experiment, Windows 98, Windows 2000, Windows XP and Windows 7 are utilized, and three different types of user are applied, that is, distributed users, trusted users, and regular users. Experimental results demonstrate that Window 7 achieve higher security level than the former Windows version.","PeriodicalId":318523,"journal":{"name":"2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114885071","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 Study on Chest Soft Tissue Injury Risk in Vehicle to Pedestrian Collisions","authors":"Yong Han, Shuozhen Fu, Z. Yin, Liangliang Shi","doi":"10.1109/ICMTMA.2016.18","DOIUrl":"https://doi.org/10.1109/ICMTMA.2016.18","url":null,"abstract":"Pedestrians are at high risk of injuries in traffic accident due to lack of protective equipment. Chest injuries are one of the primary injuries that can cause lifelong disability and death in pedestrian accidents. In order to investigate chest biomechanics response under different frontal structures of vehicles in real world vehicle to pedestrian accidents, the THUMS 4.01 human body FE model and two vehicle FE models with different frontal structures (medium car, one-box vehicle) were developed with the finite element method. The deformation of heart, lung and other soft tissue were analyzed under impact velocity of 40 km/h. The results showed that the different frontal structures of vehicle cased different chest soft tissues injures. This study can provide a reference to assess chest soft tissue injury in vehicle-pedestrian collisions.","PeriodicalId":318523,"journal":{"name":"2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114909568","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":"Application Research on Latent Semantic Analysis for Information Retrieval","authors":"C. Wenli","doi":"10.1109/ICMTMA.2016.37","DOIUrl":"https://doi.org/10.1109/ICMTMA.2016.37","url":null,"abstract":"The basic principle of Classic traditional information retrieval model is the machine matching of the key word, namely retrieval based on keywords. This paper proposes a pre-clustering-based latent semantic analysis algorithm for document retrieval. The algorithm can solve the problem of time consuming computation of the similarity between the query vector and each text vector in the traditional latent semantic algorithm for document retrieval. It first clusters the documents using k-means clustering based on the latent semantic analysis, finds out the central point of each cluster, and then calculates the similarity between the query vector and each cluster's central points for retrieval. In view of the characteristics of document retrieval, it proposes a new method for calculating the feature weights and adopts the method of pre-clustering to preprocess document collection. The results of the experiment show that the new algorithm can reduce the search time, and improve the retrieval efficiency.","PeriodicalId":318523,"journal":{"name":"2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115083020","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":"Performance of the Flexible Means in EST Translation","authors":"Jiajia Zhao","doi":"10.1109/ICMTMA.2016.118","DOIUrl":"https://doi.org/10.1109/ICMTMA.2016.118","url":null,"abstract":"English for science and technology(EST) is an important way to describe scientific work, and flexible means(FM) is the generally accepted method to translate EST. In this paper, we evaluate the application of flexible means in EST translation(ESTT) via the explicit questionnaire. Directly employing the principal component analysis(PCA), we obtain the relative importance of seven different kinds of FM. Based on analytic hierarchy process(AHP), we take three kinds of EST including biological EST(BEST), agricultural EST(AEST) and medical EST(MEST) as our objects to investigate the application of FM, with the seven FM being criterion layer and the three EST being scheme layer. We find that, the application of FM in BEST is the most common among the three EST.","PeriodicalId":318523,"journal":{"name":"2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116557987","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":"Joint Motion Damage Rating Based on Support Vector Machine","authors":"Shi Feng, Hai Qiao","doi":"10.1109/ICMTMA.2016.95","DOIUrl":"https://doi.org/10.1109/ICMTMA.2016.95","url":null,"abstract":"With the rapid development of China's sports industry, athletes won the many achievements, how the athletes were detected rating, in relation to their career length and exercise performance is good or bad. In this paper, based on support vector machine algorithm, the problem of rationality and fairness of the index in the sports injury rating is solved. Based on support vector machine, the model of joint motion damage rating model is constructed, which can judge the athlete's movement status in real time. Early warning treatment is used to protect the athletes' physiological health, improve their sports life quality and sports performance.","PeriodicalId":318523,"journal":{"name":"2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122585242","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}