• Title/Summary/Keyword: Power 함수

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Drain Induced Barrier Lowering(DIBL) SPICE Model for Sub-10 nm Low Doped Double Gate MOSFET (10 nm 이하 저도핑 DGMOSFET의 SPICE용 DIBL 모델)

  • Jung, Hakkee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.8
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    • pp.1465-1470
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    • 2017
  • In conventional MOSFETs, the silicon thickness is always larger than inversion layer, so that the drain induced barrier lowering (DIBL) is expressed as a function of oxide thickness and channel length regardless of silicon thickness. However, since the silicon thickness is fully depleted in the sub-10 nm low doped double gate (DG) MOSFET, the conventional SPICE model for DIBL is no longer available. Therefore, we propose a novel DIBL SPICE model for DGMOSFETs. In order to analyze this, a thermionic emission and the tunneling current was obtained by the potential and WKB approximation. As a result, it was found that the DIBL was proportional to the sum of the top and bottom oxide thicknesses and the square of the silicon thickness, and inversely proportional to the third power of the channel length. Particularly, static feedback coefficient of SPICE parameter can be used between 1 and 2 as a reasonable parameter.

Evolutionary Design of Radial Basis Function-based Polynomial Neural Network with the aid of Information Granulation (정보 입자화를 통한 방사형 기저 함수 기반 다항식 신경 회로망의 진화론적 설계)

  • Park, Ho-Sung;Jin, Yong-Ha;Oh, Sung-Kwun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.4
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    • pp.862-870
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    • 2011
  • In this paper, we introduce a new topology of Radial Basis Function-based Polynomial Neural Networks (RPNN) that is based on a genetically optimized multi-layer perceptron with Radial Polynomial Neurons (RPNs). This study offers a comprehensive design methodology involving mechanisms of optimization algorithms, especially Fuzzy C-Means (FCM) clustering method and Particle Swarm Optimization (PSO) algorithms. In contrast to the typical architectures encountered in Polynomial Neural Networks (PNNs), our main objective is to develop a design strategy of RPNNs as follows : (a) The architecture of the proposed network consists of Radial Polynomial Neurons (RPNs). In here, the RPN is fully reflective of the structure encountered in numeric data which are granulated with the aid of Fuzzy C-Means (FCM) clustering method. The RPN dwells on the concepts of a collection of radial basis function and the function-based nonlinear (polynomial) processing. (b) The PSO-based design procedure being applied at each layer of RPNN leads to the selection of preferred nodes of the network (RPNs) whose local characteristics (such as the number of input variables, a collection of the specific subset of input variables, the order of the polynomial, and the number of clusters as well as a fuzzification coefficient in the FCM clustering) can be easily adjusted. The performance of the RPNN is quantified through the experimentation where we use a number of modeling benchmarks - NOx emission process data of gas turbine power plant and learning machine data(Automobile Miles Per Gallon Data) already experimented with in fuzzy or neurofuzzy modeling. A comparative analysis reveals that the proposed RPNN exhibits higher accuracy and superb predictive capability in comparison to some previous models available in the literature.

Cost Ratios for Cost and ROC Curves (비용곡선과 ROC곡선에서의 비용비율)

  • Hong, Chong-Sun;Yoo, Hyun-Sang
    • Communications for Statistical Applications and Methods
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    • v.17 no.6
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    • pp.755-765
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    • 2010
  • For classification problems on mixture distribution, a threshold based on cost functions is optimal from the viewpoint of a minimum expected cost. Assuming that there is no cost information, we propose cost ratios in the expected cost corresponding to thresholds where the total accuracy and the true rate are maximized to explain the relation of these cost ratios minimizing the expected cost. Other cost ratios are also proposed by comparing the normalized expected costs when classification accuracy is maximized. The values of these cost ratios are located between two cost ratios for the expected costs based on classification accuracies, and converge to that of the minimum expected cost. This work suggests two cost ratios: one is minimized by the expected cost and the normalized expected cost, and the other in the expected cost and the normalized expected cost functions that are maximized classification accuracies. We discuss their compatibility based on the relation of these cost ratios.

아산화질소 플라즈마 처리를 이용하여 형성한 실리콘 옥시나이트라이드 박막의 특성과 어플리케이션

  • Jeong, Seong-Uk;Lee, Jun-Sin
    • Proceedings of the Korean Vacuum Society Conference
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    • 2010.02a
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    • pp.142-142
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    • 2010
  • 본 논문은 단결정 및 다결정 실리콘 기판 상에 아산화질소 플라즈마 처리를 통하여 형성한 초박형 실리콘 옥시나이트라이드 박막의 특성과 이의 어플리케이션에 관한 것이다. 초박형 절연막은 현재 다양한 전자소자의 제작과 특성 향상을 위하여 활용되고 있으나 일반적인 화학 기상 증착 방법으로는 균일도를 확보하기 어려운 문제점을 가지고 있다. 디스플레이의 구동소자로 활용되는 박막 트랜지스터의 특성 향상과 비휘발성 메모리 소자의 터널링 박막에 응용하기 위하여 초박형 실리콘 옥시나이트라이드 박막의 증착과 이의 특성을 분석하였고, 실제 어플리케이션에 적용하였다. 실리콘 산화막과 실리콘 계면상에 존재하는 질소는 터널링 전류와 결함 형성을 감소시키며, 벌크 내에 존재하는 질소는 단일 실리콘 산화막에 비해 더 두꺼운 박막을 커패시턴스의 감소없이 이용할 수 있는 장점이 있다. 아산화질소 플라즈마를 이용하여 활성화된 질소 및 산소 라디칼들이 실리콘 계면을 개질하여 초박형 실리콘 옥시나이트라이드 박막을 형성할 수 있다. 플라즈마 처리 시간과 RF power의 변화에 따라 형성된 실리콘 옥시나이트라이드 박막의 두께 및 광학적, 전기적 특성을 분석하였다. 아산화질소 플라즈마 처리 방법을 사용한 실리콘 옥시나이트라이드 박막을 시간과 박막 두께의 함수로 전환해보면 초기적으로 증착률이 높고 시간이 지남에 따라 두께 증가가 포화상태에 도달함을 확인할 수 있다. 아산화질소 플라즈마 처리 시간의 변화에 따라 형성된 박막의 전기적인 특성의 경우, 플라즈마 처리 시간이 짧은 실리콘 옥시나이트라이드 박막의 경우 전압의 변화에 따라 공핍영역에서의 기울기가 현저히 감소하며 이는 플라즈마에 의한 계면 손상으로 계면결합 전하량이 증가에 기인한 것으로 판단된다. 또한, 전류-전압 곡선을 활용하여 측정한 터널링 메카니즘은 2.3 nm 이하의 두께를 가진 실리콘 옥시나이트라이드 박막은 직접 터널링이 주도하며, 2.7 nm 이상의 두께를 가진 실리콘 옥시나이트라이드 박막은 F-N 터널링이 주도하고 있음을 확인할 수 있다. 결론적으로 실리콘 옥시나이트라이드 박막을 활용하여 전기적으로 안정한 박막트랜지스터를 제작할 수 있었으며, 2.5 nm 두께를 경계로 터널링 메커니즘이 변화하는 특성을 이용하여 전하 주입 및 기억 유지 특성이 효과적인 터널링 박막을 증착하였고, 이를 바탕으로 다결정 실리콘 비휘발성 메모리 소자를 제작하였다.

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Development of On-Line Life Monitoring System for high-Temperature Header of Fossile Powder Plant Boiler (화력발전소 보일러 고온헤더의 실시간 수명 감시시스템 개발)

  • 윤필기;정동관;윤기봉
    • Journal of Energy Engineering
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    • v.8 no.4
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    • pp.605-611
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    • 1999
  • Conventional methods for assessing remaining life of critical high temperature components in fossil power plants rely on nondestructive inspection practices and accompanying life analysis based on fracture mechanics By using these conventional methods. It has been difficult to perform uninterrupted in-service inspection for life prediction. Thus, efforts have been made for developing on-line remaining life monitoring systems employing information on the shape of structures, operating variables and material properties. In thus study, a software for on-line life monitoring system which performs real-time life evaluation of a high temperature system headers was developed. The software is capable of evaluating creep and fatigue life usage from the real-time stress data calculated by using temperatures/stress transfer Green functions derived in advance for the specific headers. The major benefits of the developed software life in determining future operating schedule, inspection interval, and replacement plan by monitoring real-time life usage based on prior operating history.

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Intelligent Obstacle Avoidance Algorithm for Autonomous Control of Underwater Flight Vehicle (수중비행체의 자율제어를 위한 지능형 장애물회피 알고리즘)

  • Kim, Hyun-Sik;Jin, Tae-Seok
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.5
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    • pp.635-640
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    • 2009
  • In real system application, the obstacle avoidance system for the autonomous control of the underwater flight vehicle (UFV) operates with the following problems: it has local information because the sonar can only offer the obstacle information in a local detection area, it requires a continuous control input because the system that has reduced acoustic noise and power consumption is necessary, and further, it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an intelligent obstacle avoidance algorithm using the evolution strategy (ES) and the fuzzy logic controller (FLC), is proposed. To verify the performance of the proposed algorithm, the obstacle avoidance of UFV is performed. Simulation results show that the proposed algorithm effectively solves the problems in the real system application.

A Study on Contribution Analysis using Operational Transfer Path Analysis based on the Correlation between Subjective Evaluation and Zwicker's Sound Quality Index for Sound Quality of Forklifts (지게차의 주관적 음질평가와 Zwicker 음질지수의 상관관계 및 전달경로분석법(OTPA)을 활용한 음질 기여도 분석)

  • Kim, Beom Soo;Yang, Soon Yong
    • Journal of Drive and Control
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    • v.13 no.2
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    • pp.19-25
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    • 2016
  • Recently, drivers have begun to regard comfort in the cabin as one of the most important factors in construction equipment like forklifts. Accordingly, it has become more important to design a forklift cabin with a better sound quality as well as lower sound level, which can make a driver more comfortable. In this paper, the correlation between subjective evaluation and Zwicker's sound quality index was analyzed through a blind test by a few workers in forklifts and other construction equipment in several countries. Correlation analysis showed that Loudness and Sharpness were ranked in sequence, and tendencies were different from country to country. Also, contribution analysis for Loudness and Sharpness using operational transfer path analysis (OTPA), which is widely used in the field of noise, vibration, and harshness (NVH), was performed. However, Loudness and Sharpness cannot be used with OTPA directly because there are no linear relationships between the sources and receivers. In this paper, both are calculated by applying the DIN 45631 method with a contribution rate (%) of 1/3 Octave Sound Pressure Level by OTPA method in addition to considering spectral masking.

Development of Standing and Moving Human Body Sensing Module Using a Chopper of Shutter Method (셔터방식의 쵸퍼를 이용한 정지 및 이동인체 감지 모듈 개발)

  • Cha, Hyeong-Woo;Lee, Won-Ho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.2
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    • pp.109-116
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    • 2016
  • Sensing module of standing and moving human body using shutter method was developed. The module consists of Fresnel lens, pyroelectric infrared (PIR) sensor, interface circuit of the PIR, micro control unit(MCU), and alarm light emitting diode(LED). The principle for standing human body is chopping the thermal of human body using camera shutter. The human sensing signal in MCU by algorithm of interrupt function is detected. By unifying an apparatus and print circuit board(PCB), the developed module can be replaced as commercial moving human body detector. Experiment results show that sensing distance is about 7.0m and sensing angles is about $110^{\circ}$ at room temperature. In these condition, sending ratio was 100% and the power dissipation of the module was 100mW.

A CSMA/CA with Binary Exponential Back-off based Priority MAC Protocol in Tactical Wireless Networks (전술 무선망에서 2진 지수 백오프를 사용하는 CSMA/CA 기반 우선순위 적용 MAC 프로토콜 설계)

  • Byun, Ae-Ran;Son, Woong;Jang, Youn-Seon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.11
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    • pp.12-19
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    • 2015
  • In network-centric warfare, the communication network has played a significant role in defeating an enemy. Especially, the urgent and important data should be preferentially delivered in time. Thus, we proposed a priority MAC protocol based on CSMA/CA with Binary Exponential Back-off for tactical wireless networks. This MAC protocol suggested a PCW(Prioritized Contention Window) with differentiated back-off time by priority and a RBR(Repetitive Back-off Reset) to reset the remaining back-off time. The results showed that this proposed MAC has higher performance than those of DCF(Distributed Coordination Function) in the transmission success rate and the number of control packet transmission by reducing the packet collision. Thus, it produced more effective power consumption. In comparison with DCF, this proposed protocol is more suitable in high-traffic network.

The Factor Clustering of Growing Stock Changes by Forest Policy using Principal Component Analysis (주성분 분석을 이용한 산림정책별 입목축적변화의 요인 군집)

  • Shin, Hye-Jin;Kim, Eui-Gyeong;Kim, Dong-Hyeon;Kim, Hyeon-Guen
    • Journal of agriculture & life science
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    • v.46 no.2
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    • pp.1-8
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    • 2012
  • This study is a precedent study for deriving transfer function model between growing stock and forest management policies. Its goal is to solve the multicollinearity between forest works inducing growing stock changes through principal component analysis using annual time series data from 1997 to 2008. As the results, the total explanatory power showed 91.4% on the summarized 3 principal components. They were renamed 'good forest management' 'pest & insets management' 'forest fires' for conceptualization on the derived each component.