Applied Mechanics and Materials Vols. 556-562

Abstract: There are some issues for the shuffle network intrusion detection, such as high loss detection rates and time-consuming procedures. This paper proposes a shuffle network intrusion detection method fusing the misuse behavior analysis and analyzes the network misuse behavior procedures. According to the damaged data flow balance features by network misuse behavior, the paper applies the hypothesis test in probability theory to evaluate whether the confidence interval excesses 0. If the confidence interval does not contain zero, it indicates the presence of feed-forward network intrusion; otherwise, there is no feed-forward network intrusion. The experimental results show that this method can effectively solve the multi-packet collaborative intrusion problems. Compared to traditional methods, the test speed and accuracy of the method is significantly improved.

Abstract: The current difference trend of automatic control software structure is more obvious, software integration makes linking correlation of overall structure appeared to play down. No significant linking characteristics exist between structural ports. The traditional detection methods of software defect are utilized to locate software defect under the differentiation structural framework, due to the lack of clear articulation feature to indicate the location region, resulting in unidentified area which software defect signal belong to and position deviation. In this paper, software defect detection method was proposed on the basis of difference structure fusion algorithm. The signal fusion technology was applied to mix the signal of software defect detection effectively, and chaos particle swarm algorithm optimization was employed to support vector machine parameters, establish the optimal models of software defect prediction, thus completing the software defect detection. Experimental results show that the algorithm for software defect detection, can greatly improve the accuracy of detection.

Abstract: Different from the traditional single databases, there is a big difference between different layers’ data of multi-level database. The differentiation of categorical attributes is small. Traditional database intrusion detection process is simply to consider the point to point data detection between the layers, without considering the similarity between the layers and ignoring the optimization for detected properties of the applied classification between the levels, resulting in lower detection accuracy. In order to avoid the above-mentioned defects of the conventional algorithm, this paper propos an intrusion detection model of multi-layered network by introducing the coarse-to-fine concept. The intrusion feature of computer database is extracted to be used as the basis for intrusion detection of database. The particle swarm distinguish tree is established to make the hierarchical processing for nodes. Through the probability operation of database intrusion detection in different layers, intrusion detection of multi-layer, distributed and large differences database can be achieved. Experimental results show that the use of the intrusion detection algorithm for multi-layer, distributed and large differences database, can increase the security of the database, ensure the safe operation of the database.

Abstract: According to the surface quality inspection requirements of honeycomb ceramics, an intelligent image inspection and sorting system based on machine vision was designed. The working flow of the designed system includes four steps: top inspection, bottom inspection, side inspection and sorting. Top images and bottom images are captured with area scan CCD cameras. The workpiece rotation (360°) was driven by the turntable unit driven by a servo motor and an encoder while workpiece side images were captured with line scan CCD cameras. The captured images were sent to IPC inspection software for processing and judgment. Then the judgment results were sent to the PLC electrical control system. Unqualified products were picked out by the PLC-controlled sorting unit. The designed system realized the rapid surface inspection and accurate sorting of honeycomb ceramics and improved the production efficiency.

Abstract: In car tires coded identification system, radio frequency technology plays a vital role, the key to radio frequency signals transmitted process is waveform modulation. The key of adjusting the waveform is how to match its resistor and capacitor easily. In the paper their resistance and capacitance values are optimized by using the simulation software (Protues) to simulate the transmitted waveform, and based on matching results the optimized physical models are produced. The actual test results agree well with the simulation results. The method of simulation tests can save the resources effectively, and shorten the development time.

Abstract: Over the past decade, the studies have been growing rapidly on application of Synthetic Aperture Radar Interferometry (InSAR) technology to landslide deformation monitoring. On the basis of InSAR ground reflector, the paper has improved the design, produced a new InSAR reflector and successfully applied to Three Gorges Reservoir Shuping Landslide deformation monitoring.

Abstract: In order to facilitate dynamic analysis of spindle, improve the vibration characteristics of the spindle and achieve the goal of control of spindle motion stability. A spindle vibration testing system is developed with necessary sensor, signal conditioner and data acquisition card based on Labview software in this paper. The spindle vibration testing and analysis system is formed based on virtual instrument graphical programming language Labview. The hardware is reduced in testing process. At the same time, acquisition, processing and analysis for vibration signal are realized, and the costs of hardware are greatly reduced. The testing work is made more convenient and quick by this system, and test is made more intuitive by its real-time display function. It will provide a scientific basis for searching for measures to reduce the spindle vibration and developing a new generation of mechanical structure of the spindle.

Abstract: In flexible needle insertion procedures, the needle path tracking plays a crucial role in the trajectory control. In this paper, a methodology is proposed to detect the shape of the flexible needle in real time by using the strain gauge sensing. The curvature information of the flexible needle can be obtained based on the stain signal of the gauges which are glued on the needle body markers. Based on this basic approach, the trajectory of the needle can be calculated and displayed, which integrates the discrete markers curvature information. The work reported in this paper indicates a practical significance in the smart medical system implementation without medical imaging equipments.

Abstract: This article controls the temperature and humidity of greenhouse vegetables through the design of computer automatic control of vegetable greenhouse temperature and humidity remote monitoring system. On this basis, this paper states the corresponding design system’s hardware and software thought in detail, establishes the system core as AT89852 single-chip microcomputer, and with Delphi software to implement the corresponding system simulation. From the point of the effect of implementation, the system is of high automation degree, good human-machine interface, low cost, convenient and simple operation, so it has existence value and good application prospect.

Abstract: In current large databases, there is a widespread defect of poor immunity. It is mainly due to the huge amount of data which makes the traditional algorithm falling into a defect of low efficiency of local search, causing inconspicuous effect to detect potential risks and other defects. To this end, we propose an intrusion detection model of medical information diversity database under cloud computing. By using the similar risk attributes of data, an intrusion test model under cloud computing environment is constructed. The use of intrusion tolerance theory can reduce the impact of failure report phenomenon for the stability of whole system. This model can effectively resist denial of service attacks, but also through the mutual cooperation between the servers to prevent the single failure node attacking to the system, ensure the safety and smooth of the cloud computing services at the greatest degree, in order to enhance the user experience. Experiments show that the algorithm improves the accuracy of the intrusion detection of medical information diversity database, and achieves good results.