Abstract In the researches of image tracking to restore an object¡¦s position or velocity in the space, it is expectable that increasing numbers of camera can reduce the error. In fact, this phenomenon happens in practical applications. But so far, the physical theory behind this effect has not been fully known. Therefore, based on this motivation, this thesis tends to lay the physical foundation of specific machine vision problem using the statistical probability concept. Extensive error analysis and computer simulation for motion vector of translation movement solved by the least squares technique are conducted by incorporating Gaussian noised into optical flow components. It is expected to provide an effective theoretical model for further developments. Keywords¡GImage tracking, The least squares method, Gauss distribution, Error analysis.

Designing the Nearest Neighbor Classifiers via the VQ Method

The design, analysis, and control of Disc-type Linear Permanent Magnet Synchronous Machines are presented in this dissertation. The machine is designed in order to have the features of high power density, high efficiency, direct drive without extra transmission device, simple mechanical structure, and wide operating speed range for the electric vehicle applications. The Feasible Triangle Technique for permanent magnet synchronous machine design is employed to increase torque density and reduce torque ripple. Magnetic theory and the finite element method are involved to establish machine mathematical model to simulate and analyze the proposed machine. The coupling field between rotor and stator can be analyzed from flux distribution by using three-dimensional finite element method. The numerical simulation and experimental results are used to verify the machine model and the operational characteristics of machine. The dissertation provides the procedures for design, analysis, and control of the proposed machine.

With the rapid development of Internet and computer technology, users can already have many applications with remote Control and Monitoring ¡]CM¡^capability, including the CM on hardware power devices. Form the state-of-the-art Internet Technology the server-side computer can be used to integrate all client-side CM devices with distributive process and unified management to realize the development of distributed power CM system with Internet integration, which is also the goal of this thesis. The Internet based distributed power control and monitoring system was proposed in this thesis by the use of 8051 Micro-controller to develop a low cost, high stability, and user-friendly CM devices for home and factory uses. LabVIEW language was used to develop the Man-Machine Interface (MMI), and DataSocket tool was used to share the information on net. The MMI¡¦s designed for the CM devices are Multi-channel digital Input/Output acquisition system, Voltage/Current acquisition system and Temperature acquisition System. In this thesis, we used newly developed Internet technology and standards, also developed ActiveX control by using programming-language tools. So the ActiveX control will be embedded in the web browsers. Using ASP (Active Server Page) and Dynamic HTML for development, this research also built a web database system on Internet.

Graphic-Monitor software on market always emphasizes a friendly User-Interface, many types of controllers or devices support, convenient Network-Communication and to communicate with related Database. Nevertheless, I/O control interface cards are not supported by the Graphic-Monitor software. Only Programmable Logic Controllers and Distributed Input/Output modules are supported. In addition, although it provides many basic functions to set devices¡¦ action process, it doesn¡¦t allow user to write complex motion control program. This limits the flexibility of motion control. The solution in the academia is to use various kinds of programming language like C++ Builder or LabVIEW as the development tools. And then, depends on the demand of the hardware to develop Human Machine Interfaces of production devices. Although these programming languages are very powerful, they are too expensive and platform-dependent. In this thesis, a platform independent and cost-free programming language, Java, is adopted to develop a human-machine-interface of an automatic production system integrated with various kinds of I/O control cards. This HMI has the following features: -- Consists of data monitoring, motion control, image inspection, and network communication modules; -- Can run under any operation system; -- Cost-effective. Two integrated examples are implemented with this HMI in the lab. One is ¡¥Production system remote control¡¦ that combines the motion control and network communication modules; another is ¡¥Vision introduce search and positioning system¡¦, in which the motion control and image inspection modules are used.

Rowing exercise machines are the popular fitness goods with training the whole body, warm-up, and stretching. They have the advantages of promoting cardiopulmonary function, training muscles, and burning calories. The purpose of this work is to develop a systematic design procedure for the linkage-type rowing exercise machines. First, to investigate and discuss the rowing exercise machines and the rowing motion to induce the requirements and design tasks of rowing exercise machines. Then the design targets of this research are decided further in order to establish the design specification. Second, to carry out the creative design of rowing exercise machines by using the procedure of creative mechanism design. Third, to complete the kinematic design of rowing exercise machines. Computer software is utilized for the work of dimensional synthesis and kinematic analysis. Finally, to perform the embodiment design and to establish 3-D model drawing of the design solutions.

As the Information Age coming, more and more factories take the advantages of automation control. Therefor, the Human-Machine Interface(HMI) System are getting more and more important. So, building a HMI System with high flexibility and low cost has become an important point. This research is focused on the flexibility of HMI program. We use a new structure of program, add a common interface between each level to make each level more independent. And we take the conception of ¡§Design Patterns¡¨ of GOF to make each module more flexible. Then, we design a new way for the module communication.

The design and implementation of LabVIEW-aided power system SCADA (Supervisory Control And Data Acquisition) for industrial applications is presented in this thesis. The system includes some sensors¡Bcontrol hardware, and two fore-microprocessors; and it runs in the environment of popular windows by personal computer, using LabVIEW between human and machine. The mainframe computer can get the electrical power parameters (such as voltage¡Bcurrent and power factor )from the fore-microprocessor via RS-485 communication interface. All of the power parameters and control signals are transmitted upon the network, so it can also command the remote controllers to detect the status and control the switching gear of the remote equipments. These data can be recorded and stored simultaneously in the LabVIEW environment and displayed on the screen. The design accomplishes function of signal acquisition and data transmission features low cost¡Bhigh stability, with remote controller, and easy expansion. It can mange and control the conventional household or industrial electric equipment, to achieve the goal of energy conservation.

The protein fold recognition problem is one of the important topics in biophysics. It is believed that the primary structure of a protein is helpful to drawing its three-dimensional (3D) structure. Given a target protein (a sequence of amino acids), the protein fold recognition problem is to decide which fold group of some protein structure database the target protein belongs to. Since more than two fold groups are to be located in this problem, it is a multi-class classification problem. Recently, many researchers have solved this problem by using the popular machine learning tools, such as neural networks (NN) and support vector machines (SVM). In this thesis, we use the SVM tool to solve this problem. Our strategy is to find out the effective features which can be used as an efficient guide to the classification problem. We build the feature preference table to help us to find out effective feature combinations quickly. We take 27 well-known fold groups in SCOP (Structural Classification of Proteins) as our data set. Our experimental results show that our method achieves the overall prediction accuracy of 61.4%, which is better than the previous method (56.5%). With the same feature combinations, our prediction accuracy is also higher than the previous results. These results show that our method is indeed effective for the fold recognition problem.

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