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In Pneumatic Fieldbus System, we need a data transmission system with high speed and high realibility for information interchange between main computer and solenoid valves and I/O devices. This paper presents a set of design techniques for a data communication system that is mainly used for pneumatic fieldbus system. For this purpose, we first designed hardware modules for an interface between central control module and local node that handles the operation of solenoid valves. In addition we developed a communication protocol for construction of RS-485 based multidrop network, and this protocol is basically designed with a kind of polling technique. Finally we evaluated performance of the developed system. The field test results show that, even under high noise environment, the data transmission of 375Kbps rate is possible up to 1,000m without using repeater. In addition, the system developed in this research is proved to be used easily for extension of a communication network because of its module structure.
This paper presents a set of design techniques for implementing LSP algorithm in real time using AT&T's second generation digital signal processor WE DSP32. This paper reviews the parametric representation techniques of speech signal and the architecture of the target processor. Before the real time implementation, we checked the simulation result of implementing the LSP algorithm in C language. For real time implementation, we used the emulator board having the WE DSP32. For efficient data handling, the circular buffer scheme is used. To satisfy the critical time constraints, we propose a proper programming scheme which meets the deep pipelining characteristics of the processor. The real time implementation result shows that the synthesized speech signal is as good as the original speech signal. In addition, the implementation technique developed in this research can be applicable to speech coding problems.
This paper presents a set of techniques to automatically find rate optimal or near rate optimal implementations in pipelined processing environments for DSP algorithms that are represented by recursive shift-invariant flow graphs. An instruction scheduling methodology for a single pipelined processor is presented. In such case, the problem to be addressed is the scheduling of a single instruction stream which controls all of the pipeline stages. The goal of an automatic scheduler in this context is to rearrange the order of instructions such that they are executed with minimum iteration period between successive iteration of defining flow graphs. Since the node execution times in defining flow graphs are deterministic, this research addresses compile time scheduling.
이 연구에서는 탐구화학실험을 통해 고등학교 학생들의 과학 성취도 향상정도를 논리적 사고력, 과학탐구기능, 실험 태도, 수공적 기능, 탐구과정 기능 등의 측면에서 조사하였다. 이를 위해 수도권 소재의 남녀 고등학교 2개교의 5개조 150명을 대상으로 하여 논리적 사고력, 과학탐구기능의 지필평가와 탐구과정 기능의 보고서평가, 실험태도, 수공적 기능의 실험관찰 평가를 통하여 자료를 수집하였다. 연구 결과에 의하면 학생들의 탐구과정기능과 실험 태도, 수공적 기능은 전반적으로 매우 낮은 수준으로 조사되었으나 탐구과정 기능을 제외 한 나머지의 측면에서는 유의미한 향상을 보였다. 또한 탐구화학실험이 지속적으로 수행될 때 학습자의 과학 성취도가 향상됨을 알 수 있었다. In this study, the effects of science achievement faculties improvements upon students' logical thinking, science inquiry skills, experiment attitudes, manipulated skills and inquiry process skills were investigated in high school inquiry chemistry experiments. For this purpose, the participants were 150 students taking the course of high school chemistry class in Anyang-city. Logical thinking and science inquiry skills' data were collected from written tests, inquiry process skills' data were collected from reports and experiment attitudes and manipulated skills' data were collected from classroom observations. As the results of this study, students' inquiry process skills, experiment attitudes and manipulative skills were very low. But other parts except inquiry process skills were significantly increased. And the science achievement of students were improved when continuously inquiry chemistry experiment were applied to students.
This paper presents a set of design techniques for detecting the bearing of underwater target. Basically the signal processor measures the time delay between two signals that come from the underwater sensors. The bearing is functions of the velocity of underwater sound, the distance between two sensors, and the time delay between sowed. The signal processor designed in this research uses the Polarity Coincidence Correlation (PCC) techniques to measure the time delay between sensors. In such case, to simplify the processor's hardware complexity, the correlation coefficient are obtained only using the phase information instead of phase and amplitude informations. In this paper, we propose a new technique for computing the correlation coefficient, in which the idea is the shifted data storing in memory. This technique is proved to be very efficient and fast, and can easily be extended to the large system. The field test results show that the processor designed in this research can be applicable to small system.