Advanced Materials Research Vols. 383-390

Abstract: An integrated system for neural network and symbolic inference is presented. In the system the two intelligent functions, neural network and symbolic inference, can work together to make greater contributions. By applying it to the computer simulation for detection of foundation piles, the system is proved to be effective.

Abstract: The Electronic Police System is an important trend of the development of the Intelligent Traffic System present. Aim at video images taken by the Electronic Police System, a kind of vehicle detection algorithm based on detecting area is proposed. This method combines background difference with edge difference and morphological steps to detect vehicles, and the accuracy of the algorithm is further improved by correcting the frame data stream. Experimental results demonstrate that the algorithm is effective and can meet the needs of real-time requirement.

Abstract: At the closed-loop calibration research of anti-aircraft weapons systems, the miss distance between target and projectiles is difficult to obtain accurately. In order to solve this problem, this paper provided using the digital image processing technology to research the miss distance measurement methods, focusing on the image filtering technology, edge detection technology and target recognition technology. According to the simulation results, the paper selected the adaptive median filtering to remove image noise, adopted the edge detection method based on the iterative threshold to obtain target edge and used template matching technology to identify the target in the image. Finally, according to the principle of image measurement technique, using centroid tracking measurement technology to achieve the miss distance measurement. The application of digital image processing technology makes the miss distance measurement become simple, effective and convenient. This measurement method enables to save money, improve accuracy, get results in real time and have a high research value.

Abstract: According to Mohr-Coulomb criterion, the yield approach index (YAI) of Hoek-Brown criterion is derived. The rock-mass intact coefficient KV is introduced, and coal failure approach index is defined by combining failure degree. On the basis of logging data and stratified in-site stress model, the failure approach index and yield approach index are calculated in wellbore direction. Based on FAI values, coal fracture degree is divided four grades of A, B, C, D, and coal fracture classification method is proposed. Taking ZP-1 Well in QinShui basin as an example, the distribution regularity of coal fracture degree is predicted by the method. The results indicate that failure approach index of ZP-01 well is between 0.8-1.2; the section of 551-552.7m of coal seam is fractured (grade A), and the rest section of coal seam is regarded as grade B. Through electron microscope to scan coal sample structure, the results agree well with the prediction results, therefore the classification method is reliable. Depending on theory results, computer program is corresponding developed.

Abstract: An Ice-Detecting and Ice-Melting System of Electricity-Transmitting Lines based on ZigBee Wireless Communication uses ZigBee wireless network as the flat. Sub nodes are placed at some places of the electricity- transmitting lines. The sub nodes detect the icing status of electricity-transmitting lines by using the vibration tube ice sensors and send the ice signals to the main node via the ZigBee wireless network. The main node sends the ice signals to PC via USB interface and launches the ice-melting system at the same time. The principle and sense organ structure of the vibration tube ice sensor are briefly introduced. The hardware and software designs of sub node and main node are stress explained. Finally, the theory of the controllable inductor and capacitor compensation ice-melting system is particularly expatiated.

Abstract: Based on support vector machines (SVM) theory, a new method of fault diagnosis for controlled rectifier circuits is proposed in this paper. Fault diagnose method of power electronic converter has been studied on the basis of direct waveform analysis and SVM. Three-phase bridge rectifier circuit fault is presented as an example, coupled with the results of a certain power electronic circuit experiment, indicates that the method can accurately diagnose and locate fault for controlled rectifier circuits, which is justified practical and applicable for controlled rectifier circuit fault diagnosis.

Abstract: A temperature and humidity measurement system for grain storage is developed. In the system, digital temperature and humidity sensors and single chip UHF transceiver were used. The system consists of the host controller used to manage extension device in each granary and the data transmission, and extension devices fixed in each granary were used to periodically measure temperature and humidity and transmit temperature and humidity data following instructions from host controller. Besides the advantage of simple structure, being easy to maintain and good measuring stability, the system characterized by wireless transmission of temperature and humidity sample data, which make it suitable for spread around grain storage.

Abstract: In order to acquire the magnetic properties parameter of transformer core under DC bias conditions, also to reveal the accurate analysis and judgment on the operating characteristics of transformer under the DC bias, this thesis utilized two Epstein Square devices to proceed the experiment and measurement on magnetization curve of some certain transformer which used the 30ZH120 electrical steel sheet under four different lap ways. This paper provided the measure method of bias magnetic density under laboratory conditions, meanwhile it offered the bias magnetization curve and the loss curve. The measure consequence comparison between the electrical sheet steel and the transformer model showed that direct oblique way lap can be more realistically reflected the magnetization characteristic of transformer which worked in the DC bias conditions. For Large Transformer which was difficult to measure the magnetic properties provided a convenient measurement methods, and offered the experiment facts to the theory study of the DC bias transformers.

Abstract: Short-term load forecasting in power system is an important daily work in Dispatch Operation Department of Power System. The level of forecasting accuracy directly affects the operating economy and supply quality of power system.This paper adopts the rough sets to forecast short-term load. It designs an overall structure of forecasting the short-term load based on the rough sets, applies the rough sets to analyze the importance of attribute of each condition on decision-making attribute and then gets a reduced forecasting system, lists examples to forecast short-term load on the basis of the real historical data, and compare the results with the traditional decision-making tree algorithm. The results of this study prove that the rough sets is much practical in short-term load forecasting.

Abstract: In the video encoding system, motion estimation plays an important role at the front-end of encoder, which can eliminate inter redundancy efficiently and improve encoding efficiency. However, traditional motion estimation algorithm can’t be used in real-time application like video monitoring due to its computational complexity. In order to improve real-time efficiency, an improved motion estimation algorithm is proposed in this paper. The essential ideas consist of early termination rules, prediction of initial search point, and determination of motion type. Furthermore, our algorithm adopts different search patterns for certain motion activity. Experimental result shows that the improved algorithm reduces the computation time significantly while maintaining the image quality, and satisfies real time requirement in monitoring system.