Key Engineering Materials Vols. 467-469

Abstract: In this study, an instrument for circulating BOD analysis by microbial sensor has been developed. A Pseudomonas. sp immobilized by PVA, was employed for sensitive material BOD sensor. The measure period was about 8 minutes. Both relative error and analytical standard deviation are less than 5%. The instrument has the advantages of high autoimmunization and short measure period. The accuracy and stability of the instrument measured up the national standard by testing different type waste waters and national standard samples.

Abstract: A hyperchaotic system with only one nonlinear term is presented. The Lyapunov exponents, Lyapunov fractal dimensions, and phase diagram of this hyperchaotic system are obtained. Furthermore, one electronic oscillator circuit design of this hyperchaotic system is described using the Electronics Work Bench (EWB).

Abstract: Energy balance of nodes in wireless sensor network is a difficult point. In this paper, analyze the performance of AODV routing protocol applied to the coal mine WSN environment which has less mobile nodes. Base on its characteristic of lacking of energy efficiency and optimal route selection considerations, an improvement of AODV routing protocol is carried out. Route discovery phase of the algorithm use a cost metric routing strategy, according to the energy level of nodes and the quality of links to calculate the routing cost, lower cost routing path will be selected. Between efficient routing and energy balance make an effective trade-off, improve the delivery rate of the network.

Abstract: Airfield lighting system is necessary visual aids to ensure the normal movements of aircraft at night or under low visibility conditions. A hybrid network monitoring system based on CAN bus and Ethernet was introduced in the paper according to the actuality of national airfield lighting control system. The AC chop voltage regulating technology was adopted to adjust light level in the Dimmer what is the core of the system, configuration software, hybrid network technology were used to realize the remote monitoring, overall design scheme, the choice of hardware and software platform, and the realization method of network communication were gave out in the paper. Experimental results show that system performance is superior, and be worth promoting.

Abstract: Recently, reverse engineering technology and finite element analysis (FEA) are regarded as two modern design methods in industrial fields. In this paper, the piston connecting rod of one car’s engine is taken for example, the application procedure for integration of reverse engineering and finite element analysis is introduced. Firstly, CAD geometric model is rebuilt by reverse engineering technology, which is analyzed by finite element method using ANSYS Workbench software. Peak values of the maximum stress and deformation as well as its occurrence position can be understood, thus design parameters may be improved and optimized based on the finite element results.

Abstract: Head and neck injuries are the most frequent severe injury resulting from traffic accidents. Neck injury mechanisms are difficult to study experimentally due to the variety of impact conditions involved, as well as ethical issues, such as the use of human cadavers and animals. Finite element analysis is a comprehensive computer aided mathematical method through which human head and neck impact tolerance can be investigated. Detailed cervical spine models are necessary to better understand cervical spine response to loading, improve our understanding of injury mechanisms, and specifically for predicting occupant response and injury in auto crash scenarios. The focus of this study was to develop a C1–C2 finite element model with optimized mechanical parameter. The most advanced material data available were then incorporated using appropriate nonlinear constitutive models to provide accurate predictions of response at physiological levels of loading. This optimization method was the first utilized in biomechanics understanding, the C1–C2 model forms the basis for the development of a full cervical spine model. Future studies will focus on tissue-level injury prediction and dynamic response.

Abstract: This paper introduces the principle of sensors array autonomous localization system. Base on the analysis of the localization precision decline reason in the marine environment, one kind of sensors array autonomous localization error correction algorithm is described in this paper. This approach can decrease the error interference introduced by the external environment, enhance the localization precision. And through the simulation, data analysis and compare, the results show that the approach is promising tools to enhance the precision of sensors array autonomous localization effectively.

Abstract: This paper describes the principle of passive sound localization and sound localization algorithm based on a four-element array example discussed in the wind for positioning of the passive voice, and to amend their ways, this paper focuses on the measurement of the target signal in the delay algorithm based on simulation, and wind for passive localization impact and how to modify the impact, given the correction formula, and by computer simulation, the simulation calculated the azimuth error of the table can see, after following a marked improvement in azimuth, so as to achieve the effect of the amendments to improve the positioning accuracy.

Abstract: A new sensor-based temperature measuring system with high accuracy is presented in this paper. The temperature accuracy smaller then 0.02K is the measured performance of the measuring system after calibration at ten temperatures, over the -50°Cto 300°C targeted temperature range. Comparing with the traditional temperature measuring system, the advantages of the new sensor-based temperature measuring system are the high precision, immunity to noise, independent with the length of sensor wires and remote operation. And all these are at a low cost with less then 36mW of power consumption. Therefore the sensor-based temperature system is suitable for any field where reliable and accurate temperature measurement or a wide measurement range is necessary.

Abstract: This paper presents an improve particle swarm optimization algorithm for solving the mixed nonlinear integer programming problems. In this algorithm, the mixed nonlinear integer programming problems is converted into unconstrained bi-objective optimization problem by the dynamic bi-objective constraint handling methods and improved the velocity equation of PSO. Introduction of migration operator in order to overcome the premature phenomenon, retention to the better performance of infeasible particles according to the constraint violation in each iteration, it is effectively maintain the swarm diversity. Numerical experiments show that the proposed algorithm has faster convergence speed and better ability of global optimization.