Applied Mechanics and Materials Vols. 135-136

Abstract: In order to promote the sound development of urban public transport industry, government administration needs to enhance quality supervision of operational service to public transport enterprises, while taking scientific and effective strategy of financial subsidies. So service supervision and subsidies evaluation system for urban public transport are designed. First of all, system construction demand was analyzed based on enterprise operation cost accounting, subsidies evaluation and service quality supervision. And then the idea and workflow of system construction are proposed. Furthermore, public transport enterprises cost accounting, supervision and evaluation of public transport enterprise services, compensation scope and methods of financial subsidies to public transport enterprises, audit and evaluation of compensation mechanisms for financial subsidies are analyzed and researched separately. Based on the above, functional architecture of service supervision and subsidies evaluation system for urban public transport for government sector management is proposed. The system is composed of four function modules: basic database of public transport operation, cost of ticket revenue accounting system, service quality evaluation system, and subsidies compensation evaluation system. The ideas and methods are provided for service supervision and subsidies evaluation system for urban public transport and industry management information platform construction.

Abstract: The research of Service science, engineering and management （SSME） is depended on knowledge resources, and related to the process of serving. The research objective of this paper is oriented on a complex product design service which with the characteristics of disciplinary fusion, integration and coordination of knowledge, and the hypothesis oriented on knowledge flow was proposed for research this special service object. The content of this hypothesis is an experiential view, that is, modern complex product design process is driven by design task, and it is a knowledge flow process, whose core is new knowledge acquisition. Based on this experiential view, this study proposed a design process control and knowledge service research frame of complex product. Moreover, to promote the understanding and realization of the hypethesis mentioned above, the modeling and control of the design process of modern complex product through the process of knowledge flow, original knowledge acquisition of disciplinary subjects supporting for the construction of knowledge resources, and the construction and formal organization of resource unit based on knowledge base were conducted in this study. The knowledge flow-oriented hypothesis, experiential view and relevant prospective research results, are supposed to provide knowledge base and theory reference for the formation of SSME relevant axiom and theorem

Abstract: As an important part of the asphalt pavement construction, quality control is directly related to the life of road. In view of the non-uniformity issues in asphalt mixture production and construction processes, depending on the segregation standards in asphalt pavement testing, the universal volumetric chart is used to control the asphalt mixture’s volume indexes in this paper. And a PQI (pavement quality indicator) is used to make a non-destructive inspection of the pavement density. Finally, the controlling and monitoring system from asphalt mixture production to asphalt pavement construction and applying software with asphalt pavement construction quality control and quality assurance in the platform of MATLAB are developed in this paper. According to the field application, the system and software developed in this paper could be well used in the asphalt pavement construction quality control.

Abstract: Considering the mixed traffic flow of current urban traffic condition in our country, the paper develops the CHANSIGNAL signal timing system based on the improved TRRL signal timing model. Through simulation analysis and case verification, the system presents the advantages of high accuracy, calculating speed in signal timing for intersection. The system significantly improves the traffic operating condition, which proves the system’s validity and practicality.

Abstract: The belt conveyor is the main transport equipments in coal field, and its controllable drive system directly impacts on the running safety reliability and cost in coal production. Starting speed is unsmoothed in the traditional electrical drive system, which causes the belt off tracking or split and even safety accident. Therefore it is theory and practical significant to introduce a novel direct torque control (DTC) system of AC machine to the belt conveyor for solving the problem in coal mine. In allusion to the optimization of PID parameters in the speed regulators of the belt conveyor, the paper presents the improved genetic algorithm based on genetic algorithms and taboo search for the design of variable parameters of PID controller, and its ability of stronger climbing and faster finding the global optimum results are verified through the De Jong function. Compared with the traditional means, the rise time of the suggested system is faster, overshoot and regulating time is shorter, anti-disturbance is stronger, robust is better. So the optimization performance of control system is improved greatly.

Abstract: Human fall in the elderly population is one of the major causes of injury or bone fracture: it can be a cause of various injuries (e.g., fracture, concussion, and joint inflammation). It also could be a possible cause of death in a severe case. To detect human fall, various fall detection algorithms have been devised. Most fall detection algorithms rely on signals from a single accelerometer or gyroscope and use a threshold-based method to detect the human fall. However, these algorithms need careful adjustment of a threshold for each subject and cannot detect the direction of falls. In this study, we propose a novel fall recognition algorithm using a pair of a tri-axial accelerometer and a tri-axial gyroscope. Our fall recognition algorithm utilizes a set of augmented features including autoregressive (AR) modeling coefficients of signals, signal magnitude area (SMA), and gradients of angles from the sensors. After Linear Discriminant Analysis (LDA) of the augmented features, an Artificial Neural Nets (ANNs) is utilized to recognize four directional human falls: namely forward fall, backward fall, right-side fall, and left-side fall. Our recognition results show the mean recognition rate of 95.8%. Our proposed fall recognition technique should be useful in the investigation of fall-related injuries and possibly in the prevention of falls for the elderly.

Abstract: In this paper, we consider multi-agent H_∞ consensus control problems with external disturbance under the undirected switching topologies. The agent dynamics is expressed in the form of a second-order model and the control laws are neighbor-based feedback laws. By using the model transformation, the multi-agent H_∞ consensus control problem is converted into H∞ control problem for a switching linear system with special structure. A sufficient condition is established under which all agents can reach consensus with the desired H_∞ performance in switching topology case by constructing a parameter-dependent common Lyapunov function. Moreover, we give an explicit estimation expression to estimate H∞ performance index. Finally, a numerical example is provided to illustrate the effectiveness of our results.

Abstract: In order to preserve the coverage and ensure the efficiency of Wireless Sensor Networks (WSNs), a distributed coverage-hole repair algorithm towards nodes failure is proposed in this paper. Every node has a energy threshold, if node’s energy is lower than its threshold, it sends a failure message to the nearest node and appoints it as the head node, the head node consideres all the neighbors of the failure node are preparatory boundary nodes at first, then judges every preparatory boundary nodes whether be a non-boundary node through the intersection angle with the failure node. In the last, the head node activates the redundant node within the sensing range of failure node which has the most boundary nodes as neighbor nodes. Analyzes and simulation on Matlab platform indicate that this algorithm has a low time complexity and the repair efficiency has a grate relation with node density and node sensing radius.

Abstract: Based on the study on traffic flow characteristics of the intersection, and current signal timing model of intersection, this paper selected the stop delay, the number of stops and parking traffic capacity as the indexes, and translated them into a single nonlinear objective function which is the fitness of genetic algorithm. In order to meet the changes of intersection traffic flow, this paper improved the basic genetic algorithm. The improved algorithm with two genetic layers carried on signal timing optimization for middle traffic flow and peak traffic flow situation. Experiments show that the model is reasonable, and the effect caused by timing parameters optimization is obvious.

Abstract: As the Web gradually evolves into the semantic web, the World Wide Web consortium (W3C) recommends that web ontology language (OWL) be used to encode semantic information content over the Web. Semantic web is an essential infrastructure to enhance Web to obtain better integration of information and intelligent use of web resources. Moreover, a web service is annotated by web ontology language for service (OWL-S) to form a semantic web service that, however, is a static description. The OWL-S based semantic web services thus are reactively invoked by users. How to dynamically coordinate, composite, or discover the services is an important issue.