• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.210-213
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• 1999

Anyone observes that information processing in animal brains is depended on neural networks. On the other hand, engineering models for the neural networks are well known now, and they have been studied, and learning facility is found in the model. We are sure there is a potential in order to create a non Neuman-machine in the engineering models. We studied iteration forms including the engineering neural network models, taking a first step for the creation.

• Communications for Statistical Applications and Methods
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• v.16 no.4
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• pp.639-645
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• 2009

Fractional Brwonian motion(fBm) has properties of behaving tails and exhibiting long memory while remaining Gaussian. In particular, it is well known that interest rates show some long memories and non-Markovian. We present no aribitrage condition for HJM model under the multi-factor fBm reflecting the long range dependence in the interest rate model.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.29-29
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• 2000

This paper describes the design and implementation of a high-speed navigation computer to achieve precision navigation performance with Strapdown INS. The navigation computer inputs are velocity and angular increment data from the ISA at the signal of the 2404Hz interrupt and performs the removal of gyro block motion and the compensation of high dynamic errors at the 200Hz. For high-speed and high-accuracy, the computer consists of the 68040 micro-processor, 128k Memories, FPGAs, and so on. We show that the computer satisfies the required performance by In-Run navigation tests.

• Proceedings of the Korean Statistical Society Conference
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• 2005.05a
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• pp.179-184
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• 2005

Empirical findings on interet rate dynamics imply that short rates show some long memories and non-Markovin. It is well-known that fractional Brownian motion(fBm) is a proper candidate for modelling this empirical phenomena. fBm, however, is not a semimartingale process. For this reason, it is very hard to apply such processes for asset price modelling. With some modifications, this paper investigate the fBm interest rate theory, and obtain a pure discount bond price and Greeks.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.7
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• pp.1394-1402
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• 1997

In this work, an efficient test algorithm and BIST architeture a for embedded memories are presented. The proposed test algorithm can fully detect stuck-at fault, transition fault, coupling fault. Moreover, the proposed test algorithm can detect nighborhood pattern sensitive fault which could not be detected in previous march test algoarithms. The proposed test algorithm perposed test algorithm performs testing for neghborhood pattern sensitive fault using backgroung data which has been used word-oriented memory testing.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1312-1315
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• 2009

An olfactory display is a device that delivers smells to the nose. It provides us with special effects, for example to emit smell as if you were there or to give a trigger for reminding us of memories. The authors have developed a tabletop display system connected with the olfactory display.

• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.971-973
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• 1995

This paper presents a new design technique that can be used for brain-state-in-a-box neural networks to realize associative memories. The applicability of the technique is demonstrated by means of a simulation example, which illustrates its strengths.

• Proceedings of the Korean Magnestics Society Conference
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• 2002.12a
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• pp.188-189
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• 2002

One of the current goals in memory device developments is to realize a nonvolatile memory, i.e., the stored information maintains even when the power is turned off. The representative candidates for nonvolatile memories are magnetic random access memory (MRAM) and ferroelectric random access memory (FRAM). In order to achieve a high density memory in MRAM device, the external magnetic field should be localized in a tiny cell to control the direction of spontaneous magnetization. (omitted)

• Journal of the Ergonomics Society of Korea
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• v.4 no.2
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• pp.3-10
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• 1985

This article developes a cost-effective on-line measurement system of R - R intervals in ECG. The system is composed of a R peak detector, a timer and an Apple II computer (a 6502 microprocessor and memories). The system measures the R - R intervals in msec and stores them in a disk, for off-line analysis. A circuit diagram of the R peak detector and programs for controlling the microprocessor are presented.

• Journal of the Ergonomics Society of Korea
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• v.9 no.1
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• pp.3-14
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• 1990

This article develops a cost-effective and accurate measurement system for heart best intervals. The system is composed of an analog to digital (A/D) converter, an IBM personal computer (an 8088 microprocessor, an 8253-5 timer, an 8259A interrupt controller, and memories) and assembler programs for controlling these hardware components. An exponential smoothing algorithm effectively reduced noise effects from A/D converted electrocardiogram (ECG) signals influenced by 60 Hz alternating current (AC). The system can collect 15000 heart beat intervals with an 1/5400 second unit.