Key Engineering Materials Vols. 467-469

Abstract: In this paper, we proposed a vehicle classification algorithm based on cloud model. Cloud model is a new theory which can express the relationship between randomness and fuzziness. Vehicle features, such as vehicle size, shape information, contour information and edge information are extracted for cloud model. Each vehicle class is expressed through cloud model parameters, such as Ex (expectation), En (entropy), with multi-dimensional feature. And cloud classification model is employed to judge the optimal class for each vehicle. Furthermore, attribute similarity is introduced to judge the weight of each feature in classification. Decision tree classifier is utilized for classification. The algorithm’s evaluations on video image series, the results show that cloud model ensures a promising and stable performance in recognizing these vehicle classes, and the algorithm can achieve accuracy and real-time.

Abstract: This paper proposes a novel multiobjective genetic algorithm (MOGA), Evaluated Preference Genetic Algorithm (EPGA), for efficiently solving engineering multiobjective optimization problems. EPGA utilizes a preferred objective vector to perform a fast multiobjective ranking schema within a low computation complexity O(MNlogN) where N is the size of genetic population and M is the number of objectives. For verifying the proposed algorithms, this paper studies two engineering problems in which multiple mutual-conflicted objectives should be considered. According to the experimental results, the proposed EPGA can efficiently explore the Pareto front and provide very good solution capabilities for the engineering optimization problems.

Abstract: This purpose of the study is to develop the usage intention model of E-Learning systems. A survey of 1071 samples of six teaching hospitals in Taiwan shows that the effects of organizational support and self efficacy on usage intention are mediated by perceived ease of use and perceived useful. According to the statistical results, the proposed model fits very well for the samples. Besides, both organizational support and self efficacy are important antecedents of perceived ease of use and perceived useful. In addition, perceived ease of use has the most influence on usage intention, followed by perceived useful, organizational support, and self efficacy. Further investigation reveals that organizational support and self efficacy have both direct and indirect influences on usage intention. This research can provide E-Learning designers and managers of the hospital with the implication that we must focus not only on the technological aspect (perceived ease of use and perceived useful), but also on the social psychological aspect (organizational support and self efficacy).

Abstract: In the high-speed train control system, it is possible to realize the mutual real-time communication between trains and ground equipments, thus the real-time information about trains can be transmitted to the ground commanding center. Under this new operation paradigm, in order to improve its safety and efficiency, this paper proposes the generalized and hierarchical framework of model predictive control (MPC) for the railway system including macroscopic, mesoscopic and microscopic levels. Under this framework, this paper further elaborates the coordinated following control based on MPC among adjacent trains in order to guarantee proper safety distance in case of unexpected disturbances. The Levenberg-Marquardt optimization approach is utilized to engender the corresponding control commands. The simulation results demonstrate the efficiency and robustness of MPC with the prediction models of trains’ movement for the coordinated control among them.

Abstract: In this paper, we propose a new prototype model of a robotic flower with active guide tendon wires which has two bending degrees of freedom. The design and fabrication methods of this flower robot are described. We also modeled this robotic flower for characteristic evaluation. Experimental results show that the model of the flower robot is reasonable for practical applications. The flower robot is a multi-degree-of-freedom (DOF) device which was developed using a tendon-driven system. Two DOF motion for the robotic stem was realized by the tendon mechanism combining flexible spring, and 1-DOF motion of flower was created by a servo motor. Each leaf uses a spring and a tendon-driven string. The proposal structure consists of flower, stem and leaves operating like a flower robot. The experimental results indicate that the proposed flower robot with active guide wire is applicable to reality. Furthermore, it is integrated with sensors to perform its functions like a flower.

Abstract: The risk assessment is an important part of the environmental impact assessment, and is a kind of evaluation personal safety caused by and environmental impact and damage during construction and operation of the predictability of emergencies caused by toxic and hazardous, flammable and explosive substances such as leakage and etc. In this paper, a actual project that may arise in the production process of the leakage of methanol make the source strength calculations and make predictions after the accident and the results show that: after an accident that there is no death, severe poisoning and moderately toxic concentration , but the plant will cause the surrounding air quality to exceed standard.

Abstract: As to the noise pollution of the Hebei University of Engineering north boiler room, we have conducted a series of actual research, monitoring, and analysis of the spectrum of various monitoring sites. According to the results of the spectrum analysis, we found the noise source and proposed noise reduction measures, namely the establishment of sound insulation room in which the drums and induced draft fan installed, and the wall of the room are appended acoustic sound--absorbing material. The results show that this noise reduction method is feasible.

Abstract: Structure model is the basis of reservoir geological model, which mainly includes fault model and layer model. According to the research of Daqingzijing Oil Field, the paper established the structure model of this area and explain the modeling process. It is easy to learn that 3D geological structures modeling can imitate underground situation vividly in realistic operation of structure model by means of the final structure model achievement. And it is helpful for people to know the structure of the research area better and it provides a foundation for the later modeling.