Applied Mechanics and Materials
Vol. 200
Vol. 200
Applied Mechanics and Materials
Vols. 198-199
Vols. 198-199
Applied Mechanics and Materials
Vol. 197
Vol. 197
Applied Mechanics and Materials
Vols. 195-196
Vols. 195-196
Applied Mechanics and Materials
Vols. 193-194
Vols. 193-194
Applied Mechanics and Materials
Vol. 192
Vol. 192
Applied Mechanics and Materials
Vols. 190-191
Vols. 190-191
Applied Mechanics and Materials
Vol. 189
Vol. 189
Applied Mechanics and Materials
Vol. 188
Vol. 188
Applied Mechanics and Materials
Vol. 187
Vol. 187
Applied Mechanics and Materials
Vol. 186
Vol. 186
Applied Mechanics and Materials
Vols. 184-185
Vols. 184-185
Applied Mechanics and Materials
Vols. 182-183
Vols. 182-183
Applied Mechanics and Materials Vols. 190-191
Paper Title Page
Abstract: Data, curves or 2D graphics are displayed in the traditional remote monitoring system of roof support, without real-time display of working status of roof support in 3D graphics. In order to solve this problem, VB6.0 programming language and EON Studio software were combined. Communication protocol between VB6.0 and EON Studio and the way of external control on EONX were analyzed. Data acquisition system with ADAM-6017 Data Acquisition Module was designed. The remote monitoring visualization system of roof support driven by parameters of displacement and attitude was developed by means of the Ethernet transmission. The system lays a favorable foundation for remote visualization of working status of mining machinery.
1057
Abstract: With the wide application of all kinds of precision guided munitions, the rhythm of combat become faster, the environment of battle field become more complicated. It brings a great challenge to the battle damage assessment. the basic principle of battle damage assessment based on detection information is analyzed. Pretreatment and reliability analysis of battle field information and target function damage are elaborated. Single function damage analysis and target damage assessment of the Aircraft-borne guidance ammunition technical area are realized, based on target function damage analysis and fuzzy multivariate theory analysis. With the widely application of all kinds of precision guided munitions, the cost of combat grow rapidly,the rhythm of combat become faster, the environment of battle field become complicated, the damage effect to the target of the evaluation has brought an unprecedented challenges. At present , our army damage effect evaluation of target research has just started, there is no perfect theory system and mature evaluation method, so, target damage effect evaluation model and the method has important practical significance, on account of the scene to collect information on target is the important basis of damage effect evaluation, therefore, how to use all kinds of target damage information damage effect evaluation decision target efficiently collecting from battlefield is the primary problem studying damage effect evaluation.
1061
Abstract: It has given out term substitution theorem in the system K *. R0-algebra is introduced firstly, and then the fuzzy interpretation of the first-order language. It discusses term substitution theorem in the first-order fuzzy predicate system K *.
1065
Abstract: The high capability of O-E theodolite to track and acquire fast moving targets is required these years because of the rapid advancement of tested targets and automation of equipments. The traditional method of increasing the frequency width is limit. By using multi control models and velocity leading, the capability to track and acquire fast moving target is improved highly. The theories and technologies discussed in this dissertation were tested with experiments. It verifies that the theoretical analysis in this dissertation is correct.
1069
Abstract: Signal source with high precision and programmable is needed in modern scientific research, communication system, teaching apparatus, electronic measurement and so on. In the paper, a portable signal generator is proposed, which has a core of AT89C51 and programmable DDS integrated chip AD9833. The paper also introduces the principle and implementation of system project. The generator can output sinusoidal wave, square wave, triangle wave, dc voltage, and it has manual and SPC two working mode, can implement PC SPC output through RS232 communication interface. Experiments show that the system has advantages of high precision, wide scope, small size and flexible operation etc.
1074
Abstract: In order to prevent the power system from the failure, an amount of spatially distributed sensors to monitor working conditions of the power equipments are needed. Using the wire cable to transmit the monitoring data usually caused the inconveniences of installation, inspection and maintenance in traditional wire monitoring system. Based on analyzing the advantages of wireless sensor networks (WSNs) and summarizing the key technologies of applying WSNs on monitoring the health of the electrical equipment of the power system, the new design of the power equipment temperature monitoring system based on wireless sensor network is developed in this paper. The new design has been proved to be effective to improve the flexibility, the real-time and the reliability of monitoring the health of power equipment system in practices.
1079
Abstract: The traditional process of thesis evaluation is of subjectivity and differences of teachers’ qualifications and backgrounds. Considering these characteristics, this paper proposes a multi-level theses evaluation model based on fuzzy cluster analysis with the idea of fuzzy mathematics. In this model, it evaluates the teachers’ qualification first to determine the weight of various teachers’ evaluation to the thesis; then stratifies theses evaluation indicators, and according to the results of various indicators, it builds a fuzzy equivalent matrix, and ultimately selects the appropriate similarity coefficient to divide the theses into excellent, good, moderate, bad four grades. This model greatly improves the scientificalness and objectivity of the traditional theses evaluation process and provides a reference for the process.
1083
Abstract: Traffic accident has already become a significant social problem. Intelligent Transportation Systems (ITS) is vital to improve the vehicle safety. As an important part of ITS, vehicle detection has been widespread concern. This paper presents a vehicle detection algorithm based on binocular stereovision and edge extraction: analyze spatial coordinate feature belong to object point and detect obstacle points; segment Region of Interest; apply symmetry to detect vehicle. The experimental results indicate that the algorithm possess high efficiency and accuracy.
1090
Abstract: Digital image processing technology can extract the main feature of an image. In order to achieve the interaction between virtual points and plane objects, we propose the equipment for indicating points on the plane object using laser projection. We designed the equipment with a bracket, stepper motor, two-dimensional turntable, PC control unit, and a laser pointer. Next, we analyzed the mathematical model of the equipment and developed an algorithm for solving the motor rotation angle. Finally, we verified our design with an image. Here, we develop a system that can control a laser projection to a specified location by adjusting coordinates of virtual points on a computer.
1094
Abstract: In this paper we propose an automatic ship detection method in High Resolution optical satellite images based on neighbor context information. First, a pre-detection of targets gives us candidates. For each candidate, we choose an extended region called candidate with neighborhood which comprises candidate and its neighbor area. Second, the patches of candidate with neighborhood are got by a regular grid, and their SIFT(Scale Invariant Feature Transform) features are extracted. Then the SIFT features of training images are clustered with the K-means algorithm to form a codebook of the patches. We quantize the patches of candidate with neighborhood according to this codebook and get the visual word representation. Finally by applying spatial pyramid matching, the candidates are classified with SVM (support vector machine). Experiment results are given for a set of images show that our method has got predominant performance.
1099