Advanced Materials Research Vols. 219-220

Abstract: The fault diagnosis for power transformer plays an important role in improving the safety and reliability for an electrical network. Dissolved gas analysis (DGA) is a basic method to diagnose the fault of power transformer. Considering the disadvantages in DGA using fuzzy c-means (FCM) clustering algorithm, a hybrid method based on particle swarm optimization (PSO) to solve the FCM model is presented. In the new algorithm, the PSO’s search space is the vector space after straightening the membership matrix in the FCM. With the results of experiments on real DGA data, it shows our approach can improve the clustering performance for the transformer fault diagnosis.

Abstract: A new kind of frequency model reduction method is proposed for unstable processes with time delay based on genetic algorithm. By adopting error between actual model and objective model, the model reduction process is transformed into minimal optimization process. To direct at time-delay problem, phase angle condition is introduced to increase degree of approximation between reduction model and actual model. Performance index is optimized with genetic algorithm to enlarge the applicability of traditional algorithm; the problem of model reduction is solved effectively with this method. Simulation results show that the reduced order model not only can approximate the original model but also can give good dynamic and static characteristics.

Abstract: According to the single battery's series structure in the fuel cell stack, we develop an on-line fuel cell voltage monitoring system, and realize VISA library functions’ call and operation data acquisition and storage successfully in the Delphi development environment. It’s introduced mainly that the monitoring principle, hardware structure, software design and the main feature. The actual application proves that this system has realized high-precision and real-time monitoring of the output voltage of the fuel cell for multi-channel, and has multi-condition operation by setting original parameters easily, thereby, the system has more applicability and well reliability.

Abstract: Nowadays, as the amount of video and population in VoD system keeping fast growth, service provider often use p2p mechanism to alleviate their server load. The user under p2p mechanism is not only resource consumer but also resource provider. Therefore, system performance is mainly determined by user watching and sharing behavior. In this paper, after analyzing a large amount of data, we present some valuable results on user behavior. Those studies are believed can possess guiding significance for analyzing system performance and design new pre-fetch strategy.

Abstract: We propose a novel Biomechanics-based Responsive Balance Recovery (BRBR) technique for synthesizing realistic balance recovery animations. First, our BRBR technique is based on a simplified human biomechanical model of keeping balance, so as to interactively respond to contact forces in the environment. Then, we employ the Principal Component Analysis (PCA) to reduce the dimensions of the mocap (motion capture) database to ensure the search for the most qualified return-to segment in real-time. Finally, empirical results from three cases validate the approach.

Abstract: Nowadays, the contents associated with deep score analysis is rarely involved in the existing secondary teaching management software, which is not conductive to fully develop the information implied by these data,without scientific teaching evaluation. Using data mining technology, multiple aspects of student score distribution will be shown accurately, identifying the regular factors affecting score changes. Standard score as the mathematical model is adopted in the system, choosing the standard SOA architecture model, and a scientific and efficient score analysis system based on JAVA, JSP is developed. The system provides decision support information for academic departments to promote better teaching work, and finally improve the quality of teaching.

Abstract: In order to realize the 3D visualization of steep terrains like level terraces, a new Offset Line Method (OLM) -based visual method is put forth in this paper. The constrained feature lines and their Bottom Offset Cliff Lines (BOCLs) are collected and considered while building DEM. Therefore, the steep terrains like level terraces with steep steps can be visualized well. Our case study shows that the steep terrains can be visualized well if the constrained feature lines and their BOCLs were considered according to the principles of OLM while building Triangulated Irregular Networks (TINs) or grid-based DEM. how to determine the optimal value of ∆d needs further study in the future.

Abstract: In 21st century, University students are at the pressure of study, employment, economy and interpersonal communication, thus brings in many thinking and mental problems. So to improve the educational work of university students’ political thoughts including the timeliness of this work is a all-sided system engineering. Universities should insist on the principle of connection between ideological education and management, especially emphasis on instructors on instructors’ integration and mining on university’s ideological and political education resources. Strengthen college counselor’s leading role for college students to establish correct world outlook and outlook on values of the formation, help students better adapt college life, and make them become a national needed all–round talents.

Abstract: Vocational selection is an important section of vocational value, and impact on the vocational selecting action for university students. In this new period of the development on market economy here in China, the opinions and attitudes when university students make their vocational selection become diversified. Therefore, today at the situation of the increasing employment stress for university students, there’s necessity for us to deeply investigate the problems on vocational selection views existing on university students, thus discover some valid measures on the improvement of university students’ vocational selection education’s effectiveness.

Abstract: Previously, factors affecting freeway network safety under all operational circumstances have been divided hierarchically. Consequently, evaluation indicators for highway safety have been established on the basis of specification and twin statistic data. We present a novel multi-objective comprehensive evaluation method for the safe operation of segments of a highway network, together with the calculation formula, based on matter element analysis. In addition, the method is evaluated using an example.