The UCA is a standard-based approach to utility communications which provides for wide scale integration of functional areas including customer interface, distribution, transmission, power plant, control center, and corporate information systems. Field devices in the power facilities require real-time communications, and they must be interconnected into fieldbus. This study introduces a method of implementing gateway that interfaces UCA and fieldbus. In this study, PROFIBUS and FOUNDATION Fieldbus are selected as candidate fieldbus protocols. Protocol interface in the gateway can be accomplished by mapping objects and services of UCA and fieldbus. MOst of the UCAs CASM objects and services are directly mapped into those of the application and user layers of fieldbus. However, some CASM services are not supported in the application and user layers of fieldbus. This study presents the method of implementing those services. In order to show that the implementation of interface is possible, this study presents pseudo-codes of interface program that maps the objects and services of UCA and fieldbus.

The primary cause of air pollution by vehicles is imperfect combustion of fuel. One of the most usual causes of this imperfect combustion is the misfire in IC(Intenal Combustion) engine. Recently it is obligated for an ECU to monitor the emission level and warn the driver in case of exceeding specified emission standards. Therefore, in order to comply with this OBD-II regulations, car makers are investing a considerable amount into technology which would enable the detection of misfire and the particular cylinder in which misfire is taking place. So far, it has been able to detect misfire using engine speed, which can be obtained crank angle. However, such a method posed a problem in analyzing at high speed and in recognizing the misfire from the load impact at bumpy road. In this paper, misfire detection is made possible by simple arithmetic using WDFT, especially at high engine speed. In addition, the moving window method of a Walsh function is applied to determine the cylinders under misfire in case of multiple misfires. An actual experiment was conducted to prove that WDFT is applicable to effective in computation speed and to same result in misfire detection and cylinder determination at idle, part load and bumpy road conditions.

For the autonomy of a mobile robot it is first needed to know its position and orientation. Various methods of estimating the position of a robot have been developed. However, it is still difficult to localize the robot without any initial position or orientation. In this paper we present the method how to make the colored map and how to calculate the position and direction of a robot using the angle data of an omnidirectional image. The wall of the map is rendered with the corresponding color images and the color histograms of images and the coordinates of feature points are stored in the map. Then a mobile robot gets the color omnidirectional image at arbitrary position and orientation, segments it and recognizes objects by multiple color indexing. Using the information of recognized objects robot can have enough feature points and localize itself.

In this paper, we proposed MBDD(Modified Binary Decision Diagram) as a multi-level logic synthesis method and a vertex of MBDD to NMOS transistors matching. A vertex in MBDD is matched to a set of NMOS transistors. MBDD structure can be achieved through transformation steps from BDD structure. MBDD can represent the same function with less vertices less number of NMOS transistors, consequently capacitance of the circuit can be reduced. Thus the power dissipation can be reduced. We applied MBDD to a full odder and a 4-2compressor. Comparing the 4-2compressor block with other synthesis logic, 31.2% reduction and 19.9% reduction was achieved in numbers of transistors and power dissipation respectively. In this simulation we used 0.8 ${\mu}{\textrm}{m}$ fabrication parameters.

BIST(Built-in Self Test) has been considered as the most promising DFT(design-for-test) scheme for the present and future test strategy. The most serious problem in applying BIST(Built-in Self Test) into a large circuit is the excessive increase in test time. This paper is focused on this problem. We proposed a new BIST construction scheme which uses a parallel divide-and-conquer method. The circuit division is performed with respect to some internal nodes called test points. The test points are selected by considering the nodal connectivity of the circuit rather than the testability of each node. The test patterns are generated by only one linear feedback shift register(LFSR) and they are shared by all the divided circuits. Thus, the test for each divided circuit is performed in parallel. Test responses are collected from the test point as well as the primary outputs. Even though the divide-and-conquer scheme is used and test patterns are generated in one LFSR, the proposed scheme does not lose its pseudo-exhaustive property. We proposed a selection procedure to find the test points and it was implemented with C/C++ language. Several example circuits were applied to this procedure and the results showed that test time was reduced upto 1/2151 but the increase in the hardware overhead or the delay increase was not much high. Because the proposed scheme showed a tendency that the increasing rates in hardware overhead and delay overhead were less than that in test time reduction as the size of circuit increases, it is expected to be used efficiently for large circuits as VLSI and ULSI.

In this paper, a new pitch estimation method is proposed using the Robinson cochlear model. This estimation method is useful in noisy environments and especially very efficient under cochannel in which two speaker voices exist at the same time. For the one speaker speech, the pitch can be extracted from just the neurogram of the Robinson cochlear model. In this case, as the estimation is performed in time domain, the exact pitch period can be detected though the pitch period is various. But in noisy and cochannel cases, the neurogram has many spurious peaks, so we use the autocorrelators in the neurogram to manifest the period. It the autocorrelators are used for the all delays, the large amount of calculations is necessary. Due to this defect, we propose that the autocorrelators are used for the part of the delays on which energy is concentrated. First of all, the proposed algorithm is applied to the one speaker speech, and later to the cochannel speech. And then the results are compared with the autocorrelation pitch detection method.

Even though it is not practical, yet there is a trend of the researches related to the anesthesia on the determination of depth of anesthesia and level of consciousness in the view point of neurophysiological aspects. That is, quantification of physiological signals which represent human brain function and pharmacological response could be used to find the level of consciousness based on the changes in physiological signals. This research was performed to analyze the relationship between parameters extracted from LAEP(long latency auditory evoked potential) and the amount of sedatives injected to the patients. Seventeen patients were participated for the experiment. Two different sedatives, midazolam and diazepam, were injected intramuscularly, and LAEPs caused by 1KHz and 2KHz auditory tone bust were obtained. It was found that amplitude of extracted parameters from LAEP, N100 and P300, were reduced as dose of sedatives were increased. Results of this study could be used for extracting more meaningful index and establishing algorithm for predicting changes of level of consciousness induced by sedatives.