Applied Mechanics and Materials Vols. 190-191

Abstract: Equipment maintainability support is the most important influencing factor which affects weapon battle ability. Equipment maintainability support capability assessment result can be used as steering for equipment maintenance blue print configuration. Based on analysis of equipment maintenance support, maintenance scenario establish process is discussed in paper. Then neural network-based equipment maintainability support assessment model is established. BP dynamic neural network is applied in constructing model and the amelioration weight reset arithmetic is imported in equipment maintainability support assessment model. Finally, the steps of equipment maintenance support assessment are described. According to assessment arithmetic, equipment maintenance center computes assessment result. Equipment development department and army can optimize maintainability support scheme based on assessment result and maintain equipment.

Abstract: Lacking effective management means for production, storage, transportation, marketing and other aspects is the existing problems in the current fireworks and firecrackers security supervision. We propose a design method on constructing the safety supervision platform of the whole process of fireworks and firecrackers production with the background of the emerging Internet of Things (IOT for short), the use of RFID technology, combined with the 3G networks, GPS/GIS, video camera technology to constitute the architecture of the platform. In this article, we also present the crucial technology of constructing the platform and relevant implementation, including the associated matching algorithms between the RFID tags and two dimensional codes, building methods of fireworks and firecrackers quality model by theory of ontology-based context modeling. It achieves full supervision and traceability management in production, storage, transportation, wholesale and retail. And it can provide summary statistics and on-site real-time dynamic queries.

Abstract: In order to improve the management of crops in digital greenhouse, and give crops a healthy growth, the digital greenhouse expert system is developed based on the growth knowledge of agricultural greenhouse, computer technology and artificial intelligence technology. The expert system can provide basic information about crop growth, cultivation and management techniques, pest control and other diagnostic functions, as well as expert online answering question and so on. The development of the system is advantageous to standardize digital management of greenhouse crop cultivation, reduce the burden of planting staff, and it also can improve crop quality.

Abstract: This article tells the story of in order to effectively resist the invasion of external .NET platform system, improve system security, we must establish the prevention and monitoring technologies improve system security system. System programmer and administrators only in the system design stage, to do a good job safety prevention programs and solutions to security applications wherein, to nip in the bud, development of safer, more reliable and robust web system; 安and this paper Analysis the possible security problems of the .NET platform system; in view of the existing safety problems to make the safety performance analysis; finally put forward the platform system safety prevention programme.

Abstract: To monitor aircraft flight status, predict the position of aircraft is needed. By the research of the kalman filter, particle filter, and the best curve fitting method, use the last before time or several before moments‘s flight state data to predict the state of the aircraft, even forward time’s state, the dynamically weighted average of the multi-times data can get to the aircraft status data and subsequent flight status data, so the aircraft fly normally and smoothly with the predicted status data, that can get a good visual effect. The algorithm experiment is through the extraction data from the real aircraft data, the average relative error is 0.03%.

Abstract: The present situation of the tooth contact analysis (TCA) and the application of MATLAB to the tooth contact analysis (TCA) is introduced briefly in this paper. The tooth surface equation of the big gear and pinion is established by powerful mathematical calculation and graphic display of MATLAB, at the same time transmission error and contact path is obtained. The calculation process is simplified and the operation precision of TCA is improved than before.

Abstract: This paper addresses an integrated uncertain programming model for a closed-loop supply chain with manufacturing/remanufacturing hybrid system. The hybrid system is studied under the grey fuzzy uncertainty and grey uncertainty. The hybrid intelligent optimization algorithm integrating the grey fuzzy simulation, neural network and genetic algorithm can optimize the uncertain model. One numerical example is given to illustrate the effectiveness of the proposed model and algorithm.

Abstract: Numerical method is applied to analyze the spraying process using supersonic spraying gun; special attention is paid to temperature and velocity fields of argon plasma flow, including. In term of plasma properties, ionization and recombination of plasma species are taken into consideration. The impact of internal injection channel on main plasma gas flow, both velocity and temperature, are investigated. With full dimensional model, three dimensional properties of plasma flow and internal injection channel impact are revealed.

Abstract: Recent work has shown that classification can benefit saliently from the proper use of contextual cues. In this paper, we present a novel framework by using contextual information to improve object detection. After having detected objects and clustered image regions respectively, we make the statistic spatial relationships between candidate objects and sub-regions of the image, which are composed into a vector of features (termed contextual words). Then, the vectors of all candidates are used to train the probabilistic Latent Semantic Analysis (pLSA) model. Finally, SVM classifier is employed in object classification. Furthermore, a new direct graphical model by extending pLSA is proposed to introduce more useful information from previous detection process. The experimental results based on a remote-sensing image dataset show that our performances are quite promising.

Abstract: The stator core is an important part of large turbo-generator .The its natural frequency must be to avoid the operating frequency and the double frequency. In this paper, stator core structure of 1000MW generator is considered as the research object. In the Pro / E software, its virtual manufacturing model is built for design and manufacture of stator core; In ANSYS software, a parametric finite element model is established for virtual experimental modal analysis; The virtual prototype model in the different constraints (free, and different constraints) and different core parameters (such as the core inner and outer diameter, length) is used to analyze and solve its natural frequencies and mode shape changes. For design, manufacturing and on-line monitoring and fault diagnosis of a variety of large-capacity turbine generator, the research approach and results provide an important basis.