• Title/Summary/Keyword: pre-logic

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

  • Mun, Seong-Yeol;Kang, Seong-Jun;Joung, Yang-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.7
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    • pp.747-752
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    • 2014
  • This paper relates 10% shrink from $0.13{\mu}m$ design for logic devices as well as input and output (I/O) circuits, different from the previous shrink methodologies which shrink only core device. Thin gate oxide was changed to decoupled plasma nitridation(DPN) oxide as a thin gate oxide (1.2V) to reduce the flicker noise, resulting in three to five times lower flicker noise than pre-shrink process. Unavoidable issue by shrink is capacitor for this normally metal insulator metal (MIM). To solve this issue, 20% higher unit MIM capacitor ($1.2fF/{\mu}m^2$) was developed and its performance were evaluated.

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

  • Kim, Si-Ho;Kim, Chan-Hong;Chae, Dae-Young
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.25 no.4
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    • pp.459-466
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    • 2014
  • This paper deals with the method to classify the aircraft target by analyzing its JEM signal. We propose the method to classify the engine model by analyzing JEM spectrum using the harmonic frequency mask generated from the blade information of jet engine. The proposed method does not need the complicated logic algorithm to find the chopping frequency in each rotor stage and the pre-simulated engine spectrum DB used in the previous methods. In addition, we propose the method to estimate the precise spool rate and it reduces the error in estimating the number of blades or in calculating the harmonic frequency of frequency mask.

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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    • v.7 no.3
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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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    • v.9 no.2
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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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    • v.13 no.2
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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.

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

  • Yang, Hyun-Cheul;Na, Sun-Cheol;Kim, Dong-Hyun;Lee, Jae-Wook
    • Journal of KIBIM
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    • v.7 no.4
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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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    • v.9 no.1
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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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    • v.7 no.1
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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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    • v.13 no.3
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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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    • v.4 no.1
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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.