Advanced Materials Research Vols. 468-471

Abstract: Immune algorithm is a set of computational systems inspired by the defense process of the biological immune system, and is widespread used in the combinatorial optimization problems. This paper describes an improved immune algorithm to solve the combinatorial optimization problems. The TSP problem is a typical application of the combinatorial optimization problems. The improved immune algorithm which based on the quantum principles is proposed for finding the optimal solutions to solve the TSP problem. In process of solving TSP problem, the quantum concept is used in initializing a population of quantum bit chromosomes. In the antibody’s updating, the general quantum rotation gate strategy and the dynamic adjusting angle mechanism are applied to accelerate convergence.According to the analysis of the experiment, the algorithm is not only feasible but also effective to solve TSP problem. It effectively relieves some disadvantages of the quantum and immune optimization.

Abstract: The purpose of this study was to apply the fuzzy structural modeling (FSM) in analyzing the concept structures of algebra for 4-graders. The authors utilized the response data of 4-graders in 2007 from Taiwan Assessment of Student Achievement. After the calibrating of equating, the distributing of the abilities of task-takers was clustered into 4 groups with the method of fuzzy clustering analysis. The authors chose the vector center for sample from each group, drew the individual concept structure graphs, and analyzed the hierarchical structures of Algebra concepts. Under the frame of IRT, the study showed the structural characteristics of Algebra concepts from Taiwan pupils. Moreover, the FSM graphs of the task-takers in each group had been analyzed and compared their differences.

Abstract: Value analysis is one of the 20th century six major management tool, since Miles has created, with its value-oriented and innovative nature, and multi-disciplinary nature have a significant impact on management innovation and actively promoted. Articles will introduce the creative value analysis of air cargo processes, through functional definition and functional sorting, looking for processes to be optimized and improved operating procedures. Then, create a method of use of the program, from the internal optimization and external optimization proposed solutions, in order to achieve the optimization of air cargo process.

Abstract: The radial flexibility of ship pressure hull directly effects the structure tension of pressure hull, so it must be measured and controlled. At present, stay bar method is mainly used to measure it in shipyards and the method has low precision and efficiency, many artificial errors. Electronic total stations (ETS) are the main equipments of precision control now and they have high precision, but are seldom used in shipbuilding. So the paper presented a new method to measure the radial flexibility of ship pressure hull with ETS and transfer station measurement method. The data measured in different stations could be transformed and dealt with. Then the plane and the projection point on the plane could be calculated in the same coordinate system. Finally the radial flexibility of ship pressure hull could be worked out according to the theory of least squares. The new method is very easy to operate and have high efficiency. Experiments showed that the method has high precision.

Abstract: A new adjustable voltage signal filament conversion alarm system is proposed which based on the traditional conversion monitoring system of train signal filament. This system adopts the embedded DSP processor monitoring the state of filament and uses the DSP to control PWM (Pulse-Width Modulation) duty cycle for preheating the filament，then gradually lit it. It avoids the breakdown of the filament break. The power line carrier technology is used for alarming signal transmission. This system is more practical than the traditional, which shortens filament switch time and improves the alarm accuracy.

Abstract: An adaptive Double Fuzzy Sliding Mode Control scheme for attitude control of Flapping Wing Micro Aerial Vehicle is proposed in this paper. Based on the feedback linearization technique, a sliding mode controller is designed. To faster response speed, a fuzzy controller is designed to adaptively tune the slope of sliding mode surface. To reduce the chattering, another fuzzy controller is designed to adaptively tune the switch part of sliding mode control. The system stability is proved by Lyapunov principle. Simulation results show that the proposed control scheme is effective.

Abstract: Rotary piston engine is a new kind of engine, which is still under development. Based on the kinetic characteristic and the special structure, a valve track was established using high-order polynomial method under the requirement of maximum fullness coefficient. Rotor was fixed after applying a reverse motion on the mechanism. Cam profile was built by coordinate transformation. A 3-dimension model was built and then it was imported into ADAMAS in order to study its kinematics behaviors responding to a specified motion .And the result shows that the method we take is effective; the cam profile has a ideal fullness coefficient, a continual acceleration, no hard or soft impact, and it could easily satisfies the requirement of the design of valve train.

Abstract: Asymptotic behavior is studied for solutions of neutral difference equations dealing with mechanical vibration problems and other related topics, and some theorems have been obtained.

Abstract: A programmable transient pulse generator is designed. In this paper, hardware and software design principles was described, a programmable transient pulse generator based on single-chip which is used for stepper motor controller as a specific application instance is also given. Experimental tests show that the design circuit is simple, the pulse width and the cycle can be set according user needs, and this generator also can be used in multifunctional monitoring and control system.

Abstract: In order to diagnose Kawasaki Disease during early phase, clinical symptoms (temperature, rash, conjunctival injection, erythema of thelips, and oral mucosal changes) and laboratory data (white blood cell, neutrophil, platelet, high sensitive c-reactive protein, and erythrocyte sedimentation rate) of 138 children with Kawasaki disease or infectious diseases were used to develop a BP neural network model. 90 random cases were trained using MATLAB software for setting up the BP neural network model. The other 48 cases were analyzed to predict Kawasaki disease using this model. Results showed that the predict accuracy in patients with Kawasaki disease and children with infectious diseases are 95.6% and 88%, respectively. Our result indicates that the BP neural network model is likely to provide an accurate test for early diagnosis of Kawasaki disease.