• Title/Summary/Keyword: 최소 융합성 지표

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Developing a Convergence Research Support Framework to Promote Creative and Transformative Basic Research (창의적·도전적 융합연구 생태계 구축을 위한 기초융합연구 지원체계 수립에 관한 연구)

  • Park, Kwisun;Shin, Suk Kyung;Song, Young Dong;Lee, Sung Jong;Lee, Eunkyu;Cha, Eun Jong
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.221-234
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    • 2013
  • National Research Foundation of Korea (NRF) provides underpinning to boost international competitiveness in convergence research including research amalgamating Science and Engineering with Humanities and Social Sciences. Division of Electrical Engineering, Information Sciences and Convergence Research recategorized a scientific and engineering array of convergence research in basic sciences and reformed a Convergence Research Support Framework in 2012. The test case was thoroughly analyzed and reviewed for successful application in the 2013 mid-career researcher program. The core of convergence research-specific review process is 'Suitability Review' that is performed by the 'Suitability Review Committee for Convergence Research' and 'Merit Review' that is conducted as a conventional peer review. As a good result of the pilot program, prior allocation of budget for convergence research was decided to the 2013 Core Research Program and the modified convergence Research Support Framework was extensively applied in the '2013 Implementation Plan for Basic Research Program in Science and Engineering.'

Optimal Design of a Continuous Time Deadbeat Controller (연속시간 유한정정제어기의 최적설계)

  • Kim Seung Youal;Lee Keum Won
    • Journal of the Institute of Convergence Signal Processing
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    • v.1 no.2
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    • pp.169-176
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    • 2000
  • Deadbeat property is well established in digital control system design in time domain. But in continuous time system, deadbeat is impossible because of it's ripples between sampling points inspite of designs using the related digital control system design theory. But several researchers suggested delay elements. A delay element is made from the concept of finite Laplace Transform. From some specifications such as internal model stability, physical realizations as well as finite time settling, unknown coefficents and poles in error transfer functions with delay elements can be calulted so as to satisfy these specifications. For the application to the real system, robustness property can be added. In this paper, error transfer function is specified with 1 delay element and robustness condition is considered additionally. As the criterion of the robustness, a weighted sensitive function's $H_{infty}$ norm is used. For the minimum value of the criterion, error transfer function's poles are calculated optimally. In this sense, optimal design of the continuous time deadbeat controller is obtained.

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A Finite Memory Structure Smoothing Filter and Its Equivalent Relationship with Existing Filters (유한기억구조 스무딩 필터와 기존 필터와의 등가 관계)

  • Kim, Min Hui;Kim, Pyung Soo
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.2
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    • pp.53-58
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    • 2021
  • In this paper, an alternative finite memory structure(FMS) smoothing filter is developed for discrete-time state-space model with a control input. To obtain the FMS smoothing filter, unbiasedness will be required beforehand in addition to a performance criteria of minimum variance. The FMS smoothing filter is obtained by directly solving an optimization problem with the unbiasedness constraint using only finite measurements and inputs on the most recent window. The proposed FMS smoothing filter is shown to have intrinsic good properties such as deadbeat and time-invariance. In addition, the proposed FMS smoothing filter is shown to be equivalent to existing FMS filters according to the delay length between the measurement and the availability of its estimate. Finally, to verify intrinsic robustness of the proposed FMS smoothing filter, computer simulations are performed for a temporary model uncertainty. Simulation results show that the proposed FMS smoothing filter can be better than the standard FMS filter and Kalman filter.

A Study on Human-Centered IT Utilization in Caring for Elderly People Who Live Alone (독거노인 돌봄에 있어 인간중심의 IT 활용방안에 관한 연구)

  • Choi, So-Yun
    • Journal of Digital Convergence
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    • v.20 no.2
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    • pp.455-462
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    • 2022
  • This study was conducted to find ways to utilize human-centered IT in caring for elderly people who live alone. Through focus group interviews with experts, this study investigated the problems with delivery system, and ethical issues. Problems such as lack of trust, supplier-centered care, and uniform service provision were derived as major problems in the delivery system. These findings indicate that IT should be used as an auxiliary means of face-to-face services and to be controllable and convenient. Issues such as "guaranteeing the right to self-determination," "protecting privacy," "sufficiently guaranteeing the right to know," and "encompassing blind spots" were raised as important ethical issues related to human-centered IT utilization. Based on the research results, this study presented the necessity of designing user-centered information technology and the necessity of developing ethical indicators for the use of human-centered technology.

A study on accident prevention AI system based on estimation of bus passengers' intentions (시내버스 승하차 의도분석 기반 사고방지 AI 시스템 연구)

  • Seonghwan Park;Sunoh Byun;Junghoon Park
    • Smart Media Journal
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    • v.12 no.11
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    • pp.57-66
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    • 2023
  • In this paper, we present a study on an AI-based system utilizing the CCTV system within city buses to predict the intentions of boarding and alighting passengers, with the aim of preventing accidents. The proposed system employs the YOLOv7 Pose model to detect passengers, while utilizing an LSTM model to predict intentions of tracked passengers. The system can be installed on the bus's CCTV terminals, allowing for real-time visual confirmation of passengers' intentions throughout driving. It also provides alerts to the driver, mitigating potential accidents during passenger transitions. Test results show accuracy rates of 0.81 for analyzing boarding intentions and 0.79 for predicting alighting intentions onboard. To ensure real-time performance, we verified that a minimum of 5 frames per second analysis is achievable in a GPU environment. his algorithm enhance the safety of passenger transitions during bus operations. In the future, with improved hardware specifications and abundant data collection, the system's expansion into various safety-related metrics is promising. This algorithm is anticipated to play a pivotal role in ensuring safety when autonomous driving becomes commercialized. Additionally, its applicability could extend to other modes of public transportation, such as subways and all forms of mass transit, contributing to the overall safety of public transportation systems.