Applied Mechanics and Materials Vols. 263-266

Abstract: In this paper, an improved cockroach swarm optimization, called cockroach swarm optimization with expansion gird (CSO-EG), is presented and applied to motion planning of autonomous mobile robot. In CSO-EG, the expansion gird method is used to model workspace. By computing the weight factor, the Euclidean distance from each candidate to the destination cell and the pheromone strength of each candidate cell are use as the heuristic information together. For increasing the variety of path, a random choosing cell strategy is introduced. The simulation experiments demonstrate that the CSO-EG algorithm can quickly get the optimal or near-optimal path in a workspace populated with obstacles.

Abstract: SPC (statistical process control) and EPC (engineering process control) is the scientific methods of quality quality control and quality improvement. It is the difficult problems of quality control process for network manufacturing enterprise how to effectively solve the dynamic quality fluctuation monitoring and the fluctuation abnormal diagnostic analysis and timely process adjustments, this paper designs the intelligent quality control mode and function system architecture, the modes expatiates quality management network based on quality control network of the workshop level and enterprise class network, and researches the integration applications of statistical process control and enterprise ERP quality system, and applies J2EE technology to achieve the system organic combination of design and development.

Abstract: To research guide vanes' influences on flow fields of cylinder cage powder classifier at different angles, a study of guide vanes under 3 different angles is therefore undertaken examining air flow behavior. The investigation of these flow field characteristics made use of the computational fluid dynamics (CFD) to simulate the air flow in the classifier. The results indicate that smaller angles of guide vanes can increase velocity but damage the stability of flow fields, and that those larger angles will reduce the velocity.

Abstract: Wireless sensor is usually tiny volume and powered by battery. So its battery capacity, CPU performance and RAM capacity are all very limited, which lead to sensor can’t afford complex encryption calculation that will cost much resource. The paper proposes a compact encryption algorithm, named CEA, which adopt minor encryption rounds, longer encryption key, improved ciphertext iteration algorithm, and cycle-exchange method to generate child-key. The measurements highly decrease the resource consumation of WSNs comparing to DES algorithm. The experiments demonstrate that the CEA algorithm owns better “avalanche effect” and high security level, furthermore, its calculation speed is far faster than DES algorithm, but cost is very low. The merits of CEA algorithm make it is more suited for resource-restrained WSNs than DES algorithm

Abstract: To solve the problems in the slope monitoring that needs man on scene to get real time monitoring data, this paper designs a remote monitoring system based on wireless sensor networks for side slope. With this system, users can get the quasi-real time monitoring data far from monitoring spot. This project adopts the wireless sensor networks technology, and the design comprises four modules according to the system function. The frame of the system, the design and function of each module are introduced in this paper. It proves that the system is feasible by experimental results, and the design has its practical value.

Abstract: This work presents group decision making model, following a university safety evaluation to demonstrate the effectiveness of the proposed model. Importantly, the proposed model can assist university decision makers to buy the feasibility of digital recorder sensor system, making it highly applicable for academic and commercial purposes.

Abstract: This paper introduced the principle, system composition, characteristics and main technical parameters and of ADS40, three line array CCD digital sensor, which was developed by the Swiss Corporation and the German Aerospace Center DLR jointly and have been put on the market. Then the application status of ADS40 in China was reviewed and the development future of digital sensor was prospected.

Abstract: In large scale of WSNs (wireless sensor networks), a centralized algorithm is not suitable for WSNs. Distributed algorithm has the obvious advantage over traditional time synchronization algorithm. The paper proposes a distributed time synchronization algorithm for WSNs, called SNOWBALL effect time synchronization. In the algorithm, a node needs only to communicate with its neighbor node, synchronizing itself clock based on the neighbor nodes information. The algorithm is a continuous synchronization process. The network will reach balance and clock consistency after repeated algorithm iterations. In the algorithm, we achieve network energy optimization by reducing unnecessary message exchange.

Abstract: It is an important foundation to precision agriculture to collect the influence information of the crop quickly and effectively. The traditional laboratory manual collect and analysis method has been difficult to meet the timeliness requirements of agriculture information collection, through the wireless sensor network to carry on the agriculture information collection is a good way to solve the problem. In this paper, we propose a farmland data acquisition system based on the Wireless Sensor Network technology. The system establishes the whole crop monitoring system through exerting GPRS network and combining integrated circuits, sensors and GPRS communication modules on data transmission. And by using the internet, GPRS and field monitoring communication, the data center can produce a complete record, the curve showing and query of field data, meanwhile it can detect equipment remotely.

Abstract: The design and optimization of wireless visual sensor network (WVSN) is challenging due to error-prone wireless link, limited resource and low computational capacity. Traditional video coding methods and layered transmission protocols are not efficient for visual information collection in WVSNs. In this paper, we adopted the compressed sensing (CS) paradigm to sense and encode the visual information, and proposed a cross-layer transmission algorithm to achieve optimal trade-off between total distortion and power consumption by simultaneously controlling the CS measurement rate and allocating the power and bandwidth for each wireless link. The algorithm was obtained by using convex dual theory and sub-gradient iterative method. The optimality condition of the proposed algorithm was also given. The algorithm can be implemented in a practical WVSN in a distributed way with only limited local information exchanges.