• Title/Summary/Keyword: CRITIC

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A Study for Contemporary Fashion Trend in Extended Cultural Conception (확장문화개념에서의 90년대 유행 Fashion의 경향에 대한 연구)

  • 이은영
    • The Research Journal of the Costume Culture
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    • v.5 no.4
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    • pp.54-67
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    • 1997
  • Now, this time we regarde as daylife is a part of culture in novelty view of modern culture study. Specially, we can see terms about style surfing supermarket style through visulization process for critic, combination, reconstruction, of modernism, that is post modernism. Not new style show up any more but displayed union of past style history complex, slices of decoration series. A designer group called as memphis, they designed such like that. Our view for fashion could be new in the technology, mixed media, cyber situation is stimulated us and accepted in extened concept of culture. In this study, I approched as a view of streetism cyber punkism haute couture Romanticism linked extension concept of culture. Haute couture fashion has the most historical, and constructive and decorative aspects, and regarded as principle of construction of deconstruction. And this season trend is romantic & emotional image are complexed.

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The Contribution and Evaluation to the Studies in Family Resource Management (가족자원관리학 분야 연구의 사회적 기여와 평가)

  • 정영금
    • Journal of Families and Better Life
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    • v.18 no.1
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    • pp.231-242
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    • 2000
  • The purpose of this study is to evaluate the trend of studies in family resource management and the contribution to family and society trough the studies since the establishment of The Korean Home Management Association. For this purpose this study analized 363 articles published in 4 journals relating to family resource management for 2 decades,. The contents are 1) an analysis to the trend of the studies classified by subject and period 2) an analysis to the ratio and trend of practical studies 3) a critic to the problems which this field of studies contains of 4) the suggestions for the future-enlargement of the information and practical education enrichment of education through the field study development of methods and contents for the study.

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Model-free $H_{\infty}$ Control of Linear Discrete-time Systems using Q-learning and LMI Based on I/O Data (입출력 데이터 기반 Q-학습과 LMI를 이용한 선형 이산 시간 시스템의 모델-프리 $H_{\infty}$ 제어기 설계)

  • Kim, Jin-Hoon;Lewis, F.L.
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.7
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    • pp.1411-1417
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    • 2009
  • In this paper, we consider the design of $H_{\infty}$ control of linear discrete-time systems having no mathematical model. The basic approach is to use Q-learning which is a reinforcement learning method based on actor-critic structure. The model-free control design is to use not the mathematical model of the system but the informations on states and inputs. As a result, the derived iterative algorithm is expressed as linear matrix inequalities(LMI) of measured data from system states and inputs. It is shown that, for a sufficiently rich enough disturbance, this algorithm converges to the standard $H_{\infty}$ control solution obtained using the exact system model. A simple numerical example is given to show the usefulness of our result on practical application.

Metatechnology: Correspondence of the Arts, Sciences, Technology and Humans

  • Joongsun Yoon;In Hwang;Sungho Chang
    • International Journal of Precision Engineering and Manufacturing
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    • v.1 no.1
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    • pp.71-78
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    • 2000
  • Current Western-dominated paradigms of technology are based on a reductionstic view, i.e., machines evolve to an intelligent but isolated object form by serially integrating precise subtechnology, humans and the environment through K rperlichkeit(corporeality or philosophy of Mom), is explored. Parallelism based on holism and embodiment, and relative interactions based on correspondence and interrelationships, are the key ideas in the proposed paradigm. An interactive system, called the Emotional intelligence Interface and Performance System(EIPS), is proposed and implemented to explore the proposed interactive technology paradigm. Also, recent collaborations by ASTA(Arts, Sciences & Technology in Asia), an interdisciplinary project team of artists and engineers, are introduced to demonstrate these explorations.

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A Critic Analysis on the Plan to Record Student's Academic Achievement in School Life Document (2008학년도 이후 대학입학제도 개선안에 따른 학교생활기록부 교과성적 기록방식의 비판적 검토)

  • Gim, Chae-Chun;Park, So-Young
    • Journal of Fisheries and Marine Sciences Education
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    • v.18 no.2
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    • pp.194-207
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    • 2006
  • The purpose of this study was to examine the current student assessment plan of subject domain and to propose ways to improve it. This study analyzed the history of our student assessment plan of subject domain and overviewed the student assessment cases of several countries. And then researchers discussed the improvement plans of student assessment of subject domain. The results of this study are as follows. First, we need to enlarge the use of detailed subject-ability record space or to assess student's subject-related ability according to subordinate perspectives of subject. Second, we need to establish the desirable evaluation-perspective and to develop absolute evaluation criteria of each subject and unit. Third, we need to diffentiate the scores of differentiated test items or equate the scores of differentiated groups.

Robot Skill Learning Strategy for Contact Task (접촉 작업을 위한 로봇의 스킬 학습 전략)

  • Kim, Byung-Chan;Kang, Byung-Duk;Park, Shin-Suk;Kang, Sung-Chul
    • The Journal of Korea Robotics Society
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    • v.3 no.2
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    • pp.146-153
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    • 2008
  • 본 논문에서는 인간 운동 제어 이론과 기계학습을 기반으로 하여 로봇의 접촉 작업 수행을 위한 새로운 운동 학습 전략을 제시하였다. 성공적인 접촉 작업 수행을 위한 본 연구의 전략은 강화학습 기법을 통하여 최적의 작업 수행을 위한 임피던스 매개 변수를 찾는 것이다. 본 연구에서는 최적의 임피던스 매개 변수를 결정하기 위하여 Recursive Least-Square (RLS) 필터 기반 episodic Natural Actor-Critic 알고리즘이 적용되었다. 본 논문에서는 제안한 전략의 효용성을 증명하기 위해 동역학 시뮬레이션을 수행하였고, 그 결과를 통하여 접촉작업에서의 작업 최적화 및 환경이 가지는 불확실성에 대한 적응성을 보여 주었다.

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Robot Control via RPO-based Reinforcement Learning Algorithm (RPO 기반 강화학습 알고리즘을 이용한 로봇 제어)

  • Kim Jongho;Kang Daesung;Park Jooyoung
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.04a
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    • pp.217-220
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    • 2005
  • The RPO algorithm is a recently developed tool in the area of reinforcement Loaming, And it has been shown In be very successful in several application problems. In this paper, we consider a robot-control problem utilizing a modified RPO algorithm in which its critic network is adapted via RLS(Recursive Least Square) algorithm. We also developed a MATLAB-based animation program, by which the effectiveness of the training algorithms were observed.

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Research of Baekje Culture-Products about Chungnam Area National Museum (충청지역 국립박물관을 중심으로 한 백제 문화상품 현황조사)

  • Lee, Sang-Mi;Kim, Chung-Ho
    • Journal of the Korea Furniture Society
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    • v.18 no.3
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    • pp.224-233
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    • 2007
  • What is culture-products? Culture-products contains identity of nation and region. French critic Guy Sorman says "It is natural that buying culture-products when you travel any countries" Culture-products which contains our own cultural factors will give positive image of country. The research and development of grafting grudge experience culture-products was advanced the characteristic of area-culture that necessary is prerequisite. We need to develop culture-products which mixed regional culture and characteristic. We would like to research about Baekje culture and culture-products and sales products in museum. Museum is one of the tourist's attractions and great place to express regional factors. The culture-products are specially limited in the products which reflects a Baekje culture with Muryeong's tomb in Gong-ju and Baekje incense burner in Bu-Yeo it advanced. We hope that this research could help to understand market of culture-products and development.

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Experimental Analysis of A3C and PPO in the OpenAI Gym Environment (OpenAI Gym 환경에서 A3C와 PPO의 실험적 분석)

  • Hwang, Gyu-Young;Lim, Hyun-Kyo;Heo, Joo-Seong;Han, Youn-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.545-547
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    • 2019
  • Policy Gradient 방식의 학습은 최근 강화학습 분야에서 많이 연구되고 있는 주제로, 본 논문에서는 강화학습을 적용시킬 수 있는 OpenAi Gym 의 'CartPole-v0' 와 'Pendulum-v0' 환경에서 Policy Gradient 방식의 Asynchronous Advantage Actor-Critic (A3C) 알고리즘과 Proximal Policy Optimization (PPO) 알고리즘의 학습 성능을 비교 분석한 결과를 제시한다. 딥러닝 모델 등 두 알고리즘이 동일하게 지닐 수 있는 조건들은 가능한 동일하게 맞추면서 Episode 진행에 따른 Score 변화 과정을 실험하였다. 본 실험을 통해서 두 가지 서로 다른 환경에서 PPO 가 A3C 보다 더 나은 성능을 보임을 확인하였다.

On the Reward Function of Latent SAC Reinforcement Learning to Improve Longitudinal Driving Performance (종방향 주행성능향상을 위한 Latent SAC 강화학습 보상함수 설계)

  • Jo, Sung-Bean;Jeong, Han-You
    • Journal of IKEEE
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    • v.25 no.4
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    • pp.728-734
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    • 2021
  • In recent years, there has been a strong interest in the end-to-end autonomous driving based on deep reinforcement learning. In this paper, we present a reward function of latent SAC deep reinforcement learning to improve the longitudinal driving performance of an agent vehicle. While the existing reward function significantly degrades the driving safety and efficiency, the proposed reward function is shown to maintain an appropriate headway distance while avoiding the front vehicle collision.