• Title/Summary/Keyword: TCS

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Promoter classification using random generator-controlled generalized regression neural network

  • Kim, Kunho;Kim, Byungwhan;Kim, Kyungnam;Hong, Jin-Han;Park, Sang-Ho
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.595-598
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    • 2003
  • A new classifier is constructed by using a generalized regression neural network (GRNN) in conjunction with a random generator (RC). The RG played a role of generating a number of sets of random spreads given a range for gaussian functions in the pattern layer, The range experimentally varied from 0.4 to 1.4. The DNA sequences consisted 4 types of promoters. The performance of classifier is examined in terms of total classification sensitivity (TCS), and individual classification sensitivity (ICS). for comparisons, another GRNN classifier was constructed and optimized in conventional way. Compared GRNN, the RG-GRNN demonstrated much improved TCS along with better ICS on average.

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Analysis of Buckling Characteristics for Hat Section Member Using Structural Foam and Plastic Reinforcement (구조용 폼과 플라스틱 보강재를 적용한 모자 단면 부재의 좌굴 특성 분석)

  • Lee, Tae-Hyun;Shin, Shoung-Gi
    • Transactions of the Korean Society of Automotive Engineers
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    • v.16 no.2
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    • pp.114-119
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    • 2008
  • The modern automotive industry develops innovative vehicle designs to meet increasing stability of car and performance demands of their customers. The improvement of frame rigidity by the structural foam is thought to be an effective means to improve the performance because of high applicability and minimum weight. The object of this paper is to examine the use of structural foam in a hat section as an optimum reinforcing means, to compare the reinforcing performance of structural foam versus a plastic reinforcement. The result of this paper indicated that reinforcing efficiencies are achieved by structural foam and plastic reinforcement shape.

A study on interoperability and applicability of the Korean Radio based Train Control System(KRTCS) (무선기반 도시철도용 열차제어시스템(KRTCS)의 상호운영성 및 적용성 연구)

  • Kang, Yong-Sam
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.6
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    • pp.1095-1102
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    • 2016
  • A TCS(Train Control System) is the core facility to ensure the safety and efficiency of train operations, it is difficult to have interoperability between the TCS suppliers. To ensure the interoperability between TCSs, there is a need for definition, validation and standardization on the system configuration, the functions of subsystems, the interface between subsystems an the system protocol. In this paper, we analyzed the completeness of the KRTCS(Korean Radio based Train Control System) specification, derived supplements what you need to apply the KRTCS specification to new urban lines.

Relationship between Interannual Variability of Phytoplankton and Tropical Cyclones in the Western North Pacific

  • Park, Jong-Yeon;Kug, Jong-Seong;Park, Ji-Soo;Chang, Chan-Joo
    • Ocean and Polar Research
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    • v.34 no.1
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    • pp.29-35
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    • 2012
  • We investigated the interannual relationship between chlorophyll concentrations in the western North Pacific and tropical cyclones (TCs) in the western North Pacific by analyzing data collected for >12 years. Despite the short-term scale (2~3 weeks) in the contribution of tropical cyclones to phytoplankton, the current study revealed that the long-term chlorophyll variability in the western North Pacific is profoundly related to long-term variability in the frequency of TCs. It was also found that the Pacific decadal oscillation (PDO) tends to control such relationships between the 2 bio-physical systems. This result suggests a significant climatic relationship between TC activity and marine phytoplankton, and also suggests the possibility of more accurate estimations of primary production in the western North Pacific.

Elucidation of Multifaceted Evolutionary Processes of Microorganisms by Comparative Genome-Based Analysis

  • Nguyen, Thuy Vu An;Hong, Soon-Ho;Lee, Sang-Yup
    • Journal of Microbiology and Biotechnology
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    • v.19 no.11
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    • pp.1301-1305
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    • 2009
  • The evolution of living organisms occurs via a combination of highly complicated processes that involve modification of various features such as appearance, metabolism and sensing systems. To understand the evolution of life, it is necessary to understand how each biological feature has been optimized in response to new environmental conditions and interrelated with other features through evolution. To accomplish this, we constructed contents-based trees for a two-component system (TCS) and metabolic network to determine how the environmental communication mechanism and the intracellular metabolism have evolved, respectively. We then conducted a comparative analysis of the two trees using ARACNE to evaluate the evolutionary and functional relationship between TCS and metabolism. The results showed that such integrated analysis can give new insight into the study of bacterial evolution.

A Study on the Estimation Method of the Wheel Acceleration (차륜 가속도 예측방법에 대한 연구)

  • 김중배;민중기
    • Transactions of the Korean Society of Automotive Engineers
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    • v.5 no.2
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    • pp.120-126
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    • 1997
  • In this study, an effective estimation method of wheel acceleration is presented. The wheel acceleration is mainly used in the ABS(anti-lick brake system) and the TCS(traction control system). The wheel acceleration is a derivative term of the wheel speed which is generally measured by the wheel speed sensors. The results of a simple differentiation of the signal and an observation of the signal by Kalman filter show that Kalman filter has better performance than the simple differentiation. The differentiated sine signal which is contaminated with random noise shows a rugged signal compared with the signal which is filtered by the Kalman filter. The covariance of the differentiated signal is higher than that of the Kalman-filtered signal, too. The presented Kalman filter technique shows an effective way of solution to get the estimated wheel acceleration value which is sufficient to be applied to ABS or TCS control algorithms.

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The Fabrication of Chromium Thin-Film Strain Gauges (크롬 박막 스트레인 게이지의 제작)

  • 양지영;정현석;장영석;정귀상
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1996.11a
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    • pp.342-345
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    • 1996
  • This paper presents the basic characteristics of thin-film strain gauges using Cr thin-films, in which the Cr thin-films were deposited by DC magnetron sputtering. The optimized deposition conditions as a strain gauge were the input DC power was 7 W/$\textrm{cm}^2$ and the Ar vacuuming pressure was 9 mTorr. The characteristics of fabricated Cr thin-film strain gauge were the gauge factor(GF) was 5.86 in longitudinal strain and -2.04 in transverse one, the TCR was under 400 ppm/$^{\circ}C$ and the TCS was around 0 ppm/$^{\circ}C$.

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DNA Sequence Classification Using a Generalized Regression Neural Network and Random Generator (난수발생기와 일반화된 회귀 신경망을 이용한 DNA 서열 분류)

  • 김성모;김근호;김병환
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.7
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    • pp.525-530
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    • 2004
  • A classifier was constructed by using a generalized regression neural network (GRU) and random generator (RG), which was applied to classify DNA sequences. Three data sets evaluated are eukaryotic and prokaryotic sequences (Data-I), eukaryotic sequences (Data-II), and prokaryotic sequences (Data-III). For each data set, the classifier performance was examined in terms of the total classification sensitivity (TCS), individual classification sensitivity (ICS), total prediction accuracy (TPA), and individual prediction accuracy (IPA). For a given spread, the RG played a role of generating a number of sets of spreads for gaussian functions in the pattern layer Compared to the GRNN, the RG-GRNN significantly improved the TCS by more than 50%, 60%, and 40% for Data-I, Data-II, and Data-III, respectively. The RG-GRNN also demonstrated improved TPA for all data types. In conclusion, the proposed RG-GRNN can effectively be used to classify a large, multivariable promoter sequences.

Estimation and Statistical Characteristics of the Radius of Maximum Wind of Tropical Cyclones using COMS IR Imagery (천리안 위성 적외 영상 자료를 이용한 태풍의 최대풍속반경 산출 및 통계적 특성)

  • Kwon, MinHo
    • Atmosphere
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    • v.22 no.4
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    • pp.473-481
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    • 2012
  • The objective methods estimating the radius of maximum wind (RMW) of tropical cyclones (TCs) are discussed using infraed (IR) imagery of geostationary satellite, and an alternative method is suggested that can estimate RMW in the TCs having eyes using IR imagery. The RMW-estimating methods are based on the characteristic structure of the eyewall of a tropical cyclone. RMW is dependent upon the radius of the eye and the distance from the center to the top of the most developed convective cloud. In order to test these methods, blackbody brightness temperature of Korean geostationary satellite, COMS (Communication, Ocean, and Meteorological Satellite) IR imagery are utilized in this study. The estimated RMWs are compared with surface winds of ASCAT (Advanced Scatterometer) of a polar orbiting satellite.

Power Electronics System of E-TCS(Electric Turbo Compounding System) for Construction Equipment (건설기계용 Electric Turbo Compounding System(E-TCS)의 Power Electronics System)

  • Park, Chanheung;Choi, Hyuntae
    • Proceedings of the KIPE Conference
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    • 2016.11a
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    • pp.159-160
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    • 2016
  • 본 논문에서는 최근 건설기계용으로 연구되고 있는 E-TCS의 Power Electronics System에 대한 Topology와 제어방법을 제안한다. 디젤엔진과 같이 사용되는 E-TCS는 압축기와 터빈 그리고 요구되는 회전속도로 고속회전 및 발전이 가능한 모터와 이를 제어하는 인버터로 구성된다. 기존의 E-TCS를 위한 Power Electronics System의 경우 배터리의 전압강압으로 인버터의 전류량이 증가하여 Power Electronics System 및 모터의 Volume이 커지는 단점이 있으며, 특허가 존재하여 사용이 어렵다. 본 논문에서는 이와 같은 단점을 개선한 E-TCS를 위한 새로운 Topology 구성 및 제어방식을 제안한다.

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