• 제목/요약/키워드: pre-logic

검색결과 131건 처리시간 0.021초

Decoupled Plasma Nitridation에 의한 Flicker 노이즈 개선에 관한 연구 (A study on Flicker Noise Improvement by Decoupled Plasma Nitridation)

  • 문성열;강성준;정양희
    • 한국전자통신학회논문지
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    • 제9권7호
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    • pp.747-752
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    • 2014
  • 본 논문은 $0.13{\mu}m$ 기술의 디자인을 10% 축소하는데 기존의 로직 디바이스만의 축소와는 달리 로직뿐 아니라 입, 출력 회로의 축소에 관한 것이다. 게이트 산화막(1.2V)을 decoupled plasma nitridation(DPN) oxide로 변경함으로써 flicker 노이즈를 축소 전 공정에 비해 1/3-1/5배 감소됨을 확인하였다. 또한, 축소에 의한 피할 수 없는 문제는 일반적인 metal insulator metal(MIM)의 캐패시터 문제이다. 이를 해결하기 위하여 20% 높은 MIM 캐패시터($1.2fF/{\mu}m^2$)를 개선하고 그 특성을 평가하였다.

제트 엔진 변조신호에서 주파수 마스킹을 이용한 표적의 특징 추출 및 식별 (Feature Extraction and Classification of Target from Jet Engine Modulation Signal Using Frequency Masking)

  • 김시호;김찬홍;채대영
    • 한국전자파학회논문지
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    • 제25권4호
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    • pp.459-466
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    • 2014
  • 본 논문은 항공기의 JEM(Jet Engine Modulation) 신호를 분석하여 표적을 식별하는 방법에 관한 것이다. 제트 엔진의 각 단의 날개 수 정보로부터 계산된 하모닉 주파수 마스크를 이용하여 스펙트럼을 분석함으로써 엔진 기종을 식별하는 방법을 제안한다. 기존의 방법처럼 각 단의 쵸핑(chopping) 주파수를 찾기 위한 복잡한 논리적 알고리즘이나 스펙트럼 비교 방법처럼 미리 모사된 엔진 스펙트럼 DB(Database)를 필요로 하지 않으며, 엔진 DB의 날개 수 정보를 이용하여 추출한 하모닉 성분을 비교함으로써 식별이 가능하다는 장점을 가진다. 또한, 정밀 축회전속도(spool rate)를 찾는 방법을 제시함으로써 날개 수 추정이나 하모닉 주파수의 위치 계산에서 오류를 줄일 수가 있다.

Interactive Conflict Detection and Resolution for Personalized Features

  • Amyot Daniel;Gray Tom;Liscano Ramir;Logrippo Luigi;Sincennes Jacques
    • Journal of Communications and Networks
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    • 제7권3호
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    • pp.353-366
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    • 2005
  • In future telecommunications systems, behaviour will be defined by inexperienced users for many different purposes, often by specifying requirements in the form of policies. The call processing language (CPL) was developed by the IETF in order to make it possible to define telephony policies in an Internet telephony environment. However, user-defined policies can hide inconsistencies or feature interactions. In this paper, a method and a tool are proposed to flag inconsistencies in a set of policies and to assist the user in correcting them. These policies can be defined by the user in a user-friendly language or derived automatically from a CPL script. The approach builds on a pre-existing logic programming tool that is able to identify inconsistencies in feature definitions. Our new tool is capable of explaining in user-oriented terminology the inconsistencies flagged, to suggest possible solutions, and to implement the chosen solution. It is sensitive to the types of features and interactions that will be created by naive users. This tool is also capable of assembling a set of individual policies specified in a user-friendly manner into a single CPL script in an appropriate priority order for execution by telecommunication systems.

Full CMOS Single Supply PLC SoC ASIC with Integrated Analog Front-End

  • Nam, Chul;Pu, Young-Gun;Kim, Sang-Woo;Lee, Kang-Yoon
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제9권2호
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    • pp.85-90
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    • 2009
  • This paper presents a single supply PLC SoC ASIC with a built-in analog Front-end circuit. To achieve the low power consumption along with low cost, this PLC SoC employs fully CMOS Analog Front End (AFE) and several LDO regulators (LDOs) to provide the internal power for Logic Core, DAC and Input/output Pad driver. The receiver part of the AFE consists of Pre-amplifier, Gain Amplifier and 1 bit Comparator. The transmitter part of the AFE consists of 10 bit Digital Analog Converter and Line Driver. This SoC is implemented with 0.18 ${\mu}m$ 1 Poly 5 Metal CMOS Process. The single supply voltage is 3.3 V and the internal powers are provided using LDOs. The total power consumption is below 30 mA at stand-by mode to meet the Eco-Design requirement. The die size is 3.2 $\times$ 2.8 $mm^{2}$.

Vision Sensor-Based Driving Algorithm for Indoor Automatic Guided Vehicles

  • Quan, Nguyen Van;Eum, Hyuk-Min;Lee, Jeisung;Hyun, Chang-Ho
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제13권2호
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    • pp.140-146
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    • 2013
  • In this paper, we describe a vision sensor-based driving algorithm for indoor automatic guided vehicles (AGVs) that facilitates a path tracking task using two mono cameras for navigation. One camera is mounted on vehicle to observe the environment and to detect markers in front of the vehicle. The other camera is attached so the view is perpendicular to the floor, which compensates for the distance between the wheels and markers. The angle and distance from the center of the two wheels to the center of marker are also obtained using these two cameras. We propose five movement patterns for AGVs to guarantee smooth performance during path tracking: starting, moving straight, pre-turning, left/right turning, and stopping. This driving algorithm based on two vision sensors gives greater flexibility to AGVs, including easy layout change, autonomy, and even economy. The algorithm was validated in an experiment using a two-wheeled mobile robot.

가상공간 시뮬레이션을 활용한 고령자 행동특성 기반 계단 낙상사고 평가 (Evaluation of staircase accidents using 3D virtual simulation based on behavioral characteristics of the elderly)

  • 양현철;나선철;김동현;이재욱
    • 한국BIM학회 논문집
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    • 제7권4호
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    • pp.21-30
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    • 2017
  • Due to the rapidly aging population, the death rate of elderly people by safety accidents has been increasing. In particular, precautions are needed for falls prevention because they either directly or indirectly cause death. In the case of elderly people, most of the fall accidents occur in dense residential areas, and particularly, the staircase poses a risk of falling. Therefore, a safety assessment should be performed from the design phase. However, in general, staircases are designed using existing stair data or only aims to satisfy the installation criteria. Laws and regulations only define minimum requirements for safety, so it is not possible to prevent fall accidents even if they satisfy the requirements. Therefore, this study proposes a simulation-based method for evaluating the safety of staircases. The behavioral characteristics of the elderly are implemented to an virtual user in a virtual space including staircases, and fall accidents are evaluated by the evaluation logic related to the behavioral characteristics. The result shows that the safety of staircases can be preevaluated and reflected on the design to reduce the possibility of fall accidents of the elderly.

Behavior Learning of Swarm Robot System using Bluetooth Network

  • Seo, Sang-Wook;Yang, Hyun-Chang;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제9권1호
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    • pp.10-15
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    • 2009
  • With the development of techniques, robots are getting smaller, and the number of robots needed for application is greater and greater. How to coordinate large number of autonomous robots through local interactions has becoming an important research issue in robot community. Swarm Robot Systems (SRS) is a system that independent autonomous robots in the restricted environments infer their status from pre-assigned conditions and operate their jobs through the cooperation with each other. In the SRS, a robot contains sensor part to percept the situation around them, communication part to exchange information, and actuator part to do a work. Especially, in order to cooperate with other robots, communicating with other robots is one of the essential elements. Because Bluetooth has many advantages such as low power consumption, small size module package, and various standard protocols, it is rated as one of the efficient communicating technologies which can apply to small-sized robot system. In this paper, we will develop Bluetooth communicating system for autonomous robots. And we will discuss how to construct and what kind of procedure to develop the communicating system for group behavior of the SRS under intelligent space.

Bluetooth Network for Group Behavior of Multi-Agent Robotic System

  • Seo, Sang-Wook;Ko, Kwang-Eun;Hwang, Se-Hee;Jang, In-Hun;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제7권1호
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    • pp.17-21
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    • 2007
  • Multi-Agent Robotic System (MARS) is a system that independent autonomous robots in the restricted environments infer their status from pre-assigned conditions and operate their jobs through the cooperation with each other. In the MARS, a robot contains sensor part to percept the situation around themselves, communication part to exchange information, and actuator part to do given work. Especially, in order to cooperate with other robots, communicating with other robots is one of the essential elements. Because Bluetooth has many advantages such as low power consumption, small size module package, and various standard protocols, Bluetooth is rated as one of the efficient communicating technologies which can apply to small-sized robot system. In this paper, we will develop Bluetooth communicating system for autonomous robots. For the purpose, the communication system must have several features-separated module, flexible interface. We will discuss how to construct and what kind of procedure to develop the communicating system.

Semi-Supervised Recursive Learning of Discriminative Mixture Models for Time-Series Classification

  • Kim, Minyoung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제13권3호
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    • pp.186-199
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    • 2013
  • We pose pattern classification as a density estimation problem where we consider mixtures of generative models under partially labeled data setups. Unlike traditional approaches that estimate density everywhere in data space, we focus on the density along the decision boundary that can yield more discriminative models with superior classification performance. We extend our earlier work on the recursive estimation method for discriminative mixture models to semi-supervised learning setups where some of the data points lack class labels. Our model exploits the mixture structure in the functional gradient framework: it searches for the base mixture component model in a greedy fashion, maximizing the conditional class likelihoods for the labeled data and at the same time minimizing the uncertainty of class label prediction for unlabeled data points. The objective can be effectively imposed as individual mixture component learning on weighted data, hence our mixture learning typically becomes highly efficient for popular base generative models like Gaussians or hidden Markov models. Moreover, apart from the expectation-maximization algorithm, the proposed recursive estimation has several advantages including the lack of need for a pre-determined mixture order and robustness to the choice of initial parameters. We demonstrate the benefits of the proposed approach on a comprehensive set of evaluations consisting of diverse time-series classification problems in semi-supervised scenarios.

A Fuzzy Based Early Warning System to Predict Banking Distress on Selected Asia-Pacific Countries

  • Farajnejad, Elham;Lau, Wee-Yeap
    • The Journal of Asian Finance, Economics and Business
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    • 제4권1호
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    • pp.39-49
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    • 2017
  • This study develops an early warning system (EWS) to prevent the banking crisis. The proposed system incorporates both the perspective of crises and fundamental characteristics of the banking system in each economy. A fuzzy logic method with data from 1990-2009 is employed to construct the EWS of banking crisis based on 21 pre-determined variables from the aspect of total economy, financial and banking sectors. Our results show: Firstly, South Korea recorded higher probability to have a banking crisis in 1997 as there was large foreign debt in dollars. Secondly, China, Australia and New Zealand banking systems appear to be vulnerable to the crisis in 2007. The surge of China export, FDIs and booming stock market were signs of a heated economy. Australia with high commodity prices was also vulnerable to crisis. Thirdly, Australia, China, Japan and New Zealand banking systems appear to be exposed to the higher chance of a crisis in 2010. Japan with deflation coupled with expensive yen did not augur well for its export. Overall, the findings show that in Asian Financial Crisis 1997/98 and Global Financial Crisis 2008/09, many economies are exposed to a higher probability of having the crisis and this shows an urgent need of having surveillance in these economies.