• 한국전문물리치료학회지
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• 제26권3호
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• pp.57-66
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• 2019

Background: Visual and somatosensory integration processing is needed to reduce pusher behavior (PB) and improve postural control in hemiplegic patients with acute stroke. Objects: This study aimed to investigate the effects of game-based postural vertical training (GPVT) on PB, postural control, and activity daily living (ADL) in acute stroke patients. Methods: Fourteen participants with acute stroke (<2 months post-stroke) who had PB according to the Burke lateropulsion scale (BLS) (score>2) were randomly divided into the GPVT group ($n_1=7$) and conventional postural vertical training (CPVT) group ($n_2=7$). The GPVT group performed game-based postural vertical training using a whole-body tilt apparatus. while the CPVT group performed conventional postural vertical training to reduce PB (30 minutes/session, 2 times/day, 5 days/week for 3 consecutive weeks). The BLS was evaluated to assess the severity of PB. And each subject's postural control ability and ADL level were assessed using the postural assessment scale for stroke (PASS), balance posture ratio (BPR), and Korean-modified Barthel index (K-MBI). Outcomes were measured pre- and post-intervention. Results: Comparison of the pre- and post-intervention assessment results showed that both interventions led to the following significant changes: decreased severity of PB scores and increased PASS, BPR, and K-MBI scores (p<.05). In particular, statistical analysis between the two groups, the BLS score was significantly decreased in the GPVT group (p<.05). And PASS, BPR, and K-MBI scores were significantly improved in the GPVT group than in the CPVT group (p<.01, respectively). Conclusion: This study demonstrated that GPVT lessened PB severity and improved postural control ability and ADL levels in acute stroke patients.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2005년도 가을 학술발표논문집 Vol.32 No.2 (1)
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• pp.571-573
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• 2005

최근 모바일 폰, 휴대형 MP3 재생기, 휴대형 미디어 재생기, 휴대형 게임기 등 휴대형 디지털 가전 제품이 일반화되고 있으며 이들의 컴퓨팅 환경이 향상됨에 따라 휴대 가전의 사용 편의성 및 부가가치를 향상시키기 위해 UI가 하나의 큰 경쟁력 요소로 대두되고 있다. 그러나 현재까지는 휴대 단말기를 중심으로 사용자의 개인성을 강조하는 UI가 일부 채택되고 있으며 타 휴대 가전 분야에서는 최근에야 UI의 중요성이 부각되어 UI용 엔진들이 개발되고 있는 실정이다. 본 논문에서는 낮은 사양의 프로세서를 가지는 휴대형 가전에서 UI로 활용할 수 있는 비손실 영상 압축 시스템 개발에 대한 내용을 기술한다. 본 논문에서 제안된 기법은 현재 메모리 사용량 및 디코딩 속도에서 우수한 성능을 보이는 LZO 기법을 수정한 것으로 휴대 단말기의 프로세서에서 압축율 보다는 디코딩 속도에 최적화되었다.

• 한국정보시스템학회지:정보시스템연구
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• 제25권4호
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• pp.23-36
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• 2016

Purpose Recently, many researchers have paid much attention to the Artificial Intelligence fields of GVGP, PCG. The paper suggests that the improved MCTS algorithm to apply for the framework can generate better AI agent. Design/methodology/approach As noted, the MCTS generate magnificent performance without an advanced training and in turn, fit applying to the field of GVGP which does not need prior knowledge. The improved and modified MCTS shows that the survival rate is increased interestingly and the search can be done in a significant way. The study was done with 2 different sets. Findings The results showed that the 10 training set which was not given any prior knowledge and the other training set which played a role as validation set generated better performance than the existed MCTS algorithm. Besed upon the results, the further study was suggested.

• Journal of Contemporary Eastern Asia
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• 제13권2호
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• pp.69-85
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• 2014

This paper explores the convergence process by focusing on the massively multiplayer online game(MMOG) industry and the online broadcasting industry in South Korea. In doing so, the paper seeks to establish the concept of Hidden catalysts for the integration process between the two industries and explore the roles of the Hidden catalysts in triggering the industry's transition. Further, the modified multi-level socio-technical model we applied in our research allows us both to understand each industry's development towards convergence in various dimensions and also to focus on the activities of the Hidden catalysts. In assessing the role of Hidden catalysts in industry convergence, we found that Hidden catalysts depend on two essential features: first, appropriate technology leading to the new industry dominance; and second, managerial capabilities to deal with conflicts among other new interest groups, to harmonise with government initiatives for industry development and to create new value in the integrated market to please the demand of mixed customers.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.507-512
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• 1998

It is an interesting area in the field of artificial intelligence to and an analytic model of cooperative structure for multi-agent system accomplishing a given task. Usually it is difficult to design controllers for multi-agent systems without a comprehensive knowledge about the system. One of the way to overcome this limitation is to implement an evolutionary approach to design the controllers. This paper introduces the use of a genetic algorithm to discover a fuzzy logic controller with rules that govern emergent co-operative behavior: A modified genetic algorithm was applied to automating the discovery of a fuzzy logic controller jot multi-agents playing a pursuit game. Simulation results indicate that, given the complexity of the problem, an evolutionary approach to and the fuzzy logic controller seems to be promising.

• 산업공학
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• 제14권1호
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• pp.54-58
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• 2001

In this study, we suggest a multi-generation Lotka-Volterra model, which is a competition model using game theory and complex system theory. The suggested model shows many improvements to weakness of a well known Bass model to forecast new technology in competitive markets. We show that the Lotka-Volterra model has strong power to forecast mobile communication services when it is used for competition of 1st generation mobile phone service and 2nd generation phone service in Korea. We finally use the model to forecast IMT-2000 service, the 3rd generation mobile communication service.

• 한국정보과학회논문지:정보통신
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• 제37권6호
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• pp.453-458
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• 2010

본 논문에서는 수정된 게임이론 기법과 ${\varepsilon}$-제약식법을 이용하여 센서 네트워크상에서 에너지 효율적인 라우팅 기법을 제안하였다. 수정된 게임 이론 기법을 이용하여 정보를 전달하기 위한 노드간의 링크 값을 측정한 후 이를 바탕으로 효율적인 라우팅 경로를 설정하여, 센서 노드 간의 통신에 있어서 에너지 소비를 줄일 수 있었다. 시뮬레이션을 통하여 성능을 평가한 결과 본 논문에서 제안하는 기법을 이용하였을 때 기존에 존재하는 방법들에 비해 약 28% 각 노드의 에너지 소모가 감소하였으며, 전체 네트워크 에너지 측면에서도 약 1.3배 성능 향상이었음을 확인할 수 있었다.

• Journal of Multimedia Information System
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• 제5권2호
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• pp.67-78
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• 2018

This article proposes the modified KNN (K Nearest Neighbor) algorithm which considers the feature similarity and is applied to the word categorization. The texts which are given as features for encoding words into numerical vectors are semantic related entities, rather than independent ones, and the synergy effect between the word categorization and the text categorization is expected by combining both of them with each other. In this research, we define the similarity metric between two vectors, including the feature similarity, modify the KNN algorithm by replacing the exiting similarity metric by the proposed one, and apply it to the word categorization. The proposed KNN is empirically validated as the better approach in categorizing words in news articles and opinions. The significance of this research is to improve the classification performance by utilizing the feature similarities.

• 공학교육연구
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• 제22권4호
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• pp.3-11
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• 2019

The purpose of this study is to introduce a modified CPS(Creativity Problem Solving) procedure as a new method for comparative analysis of creative techniques such as SIT(Systematic Inventive Thinking) and Brainstorming(BS) techniques. For this, a new sports game is employed as a case study. The results show that the ideas from SIT are more creative in terms of originality and practicality than those of BS. Several considerations for effective practical use of the proposed method are discussed in this study.

• 한국멀티미디어학회논문지
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• 제12권9호
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• pp.1333-1341
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• 2009

컴퓨터 게임에서 전술적 경로 찾기란 캐릭터의 이동 경로를 결정할 때, 최단 거리나 최소 시간 등의 요소만이 아니라 주변의 전술 정보를 고려하여 경로를 선택해야 하는 경로 찾기를 말한다. 경로 찾기에 전술 정보를 포함하는 한 가지 방법은 게임에 필요한 전술 정보를 각 정보의 중요도에 따라 가중치를 부여하고 가중 합으로 휴리스틱 함수를 표현하는 것이다. 전술 정보의 가중치의 결정은 경로를 찾기 위한 탐색의 성능과 구해지는 경로의 특성을 결정짓기 때문에 매우 중요하다. 본 논문에서는 레벨 설계자가 캐릭터의 특성에 맞는 경로 표본을 제공하면 현재 가중치에 의해 탐색된 경로와 주어진 표본 경로와의 차이를 이용하여 더 나은 가중치로 조정함으로서 휴리스틱 함수를 개선하는 방법을 제안한다. 제안된 방법은 탐색 오차를 발견하여 휴리스틱을 학습하기 위해 수정된 탐색 알고리즘과 퍼셉트론-유사 가중치 갱신 공식을 포함한다. 시뮬레이션 결과를 통해 전술 정보를 이용한 경로 계획과 기존의 경로 찾기의 차이를 보여주며 학습의 성능에 영향을 주는 요인들에 대해 분석하고 실제 게임 환경에 적용한 예를 보여 준다.