• The Journal of Korean Academy of Sensory Integration
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• v.20 no.1
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• pp.1-13
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• 2022

Objective : The purpose of this study was to investigate the effects of group Cognitive Orientation to daily Occupational Performance (CO-OP) on the occupational performance and social interaction skills of children with Cerebral Palsy (CP). Methods : A single-case experimental study with an ABA design was conducted from April to June 2021, targeting three children with cerebral palsy who met the study selection criteria. The baseline period consisted of 3 intervention sessions until the data were stabilized, and the intervention period consisted of 10 sessions (once a week, 60 minutes/session). For comparison before and after the intervention, motor development, visual perception, and daily life behavior were evaluated. To evaluate the quality of each session, a performance quality evaluation scale was used. Results : In all 3 subjects, the quality of work performance in the three common goal activities improved. The evaluation scores for visual perception, large and small movements, and daily activities were also improved. Conclusion : This study provided evidence that group CO-OP can improve the pre-academic skills and occupational performance of children with CP.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.6
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• pp.337-343
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• 2006

The Stack Resource Policy (SRP) is a real-time synchronization protocol with some distinct properties. One of such properties is early blocking; the execution of a job is delayed instead of being blocked when requesting shared resources. If SRP is used with dynamic priority scheduling such as Earliest Deadline First (EDF), the early blocking requires that a scheduler should select the highest-priority job among the jobs that will not be blocked, incurring runtime overhead. In this paper, we analyze the runtime overhead of EDF scheduling when SRP is used. We find out that the overhead of job search using the conventional implementations of ready queue and job search algorithms becomes serious as the number of jobs increases. To solve this problem, we propose an alternative data structure for the ready queue and an efficient job-search algorithm with O([log$_2n$]) time complexity.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.834-845
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• 2000

Most agents are associated with plan rules for their tasks when they are created. In a multi-agent system in which many agents are interacting, the direct use of predefined plan rules of each agents may slow down the system due to the lack of recognition of the relationship among plan rules of the agents. In order to overcome this, we need to analyze and integrate the agent's plan rules to facilitate concurrent rule execution. This paper proposes a method that integrates and executes local plan rules of task agents in a multi-agent environment. The results of the integration are represented in a network structure. For domain task execution, a task agent collects other task agents' plan rules and builds an integrated domain network, which is exploited to achieve the goal. The agent problem solving by using the domain network enables not only the concurrent plan execution but the solution of coordination problems.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.637-642
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• 2007

The sum of each work duration are entire period in construction project. Each work occurs to be late, the total period of construction project will delays. Therefore, the total period of construction project will not be delayed if probability of working progress makes higher. Finding each work's constraints performs constraints analysis in process of construction for checking probability of working progress. Grasp work's constraints through the constraints analysis and removes. This research will show preventing delay of consruction project, through constraints analysis process.

• The Journal of Korean Academy of Sensory Integration
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• v.20 no.3
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• pp.72-85
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• 2022

Objective : This study was conducted to examine self-selected goals and the outcome measures used in the Cognitive Orientation to daily Occupational Performance (CO-OP) approach for Developmental Coordination Disorder. Methods : Studies published from January 2012 to October 2022 in the PubMed, Embase, ScienceDirect, Cochrance Library databases were searched. Keywords used for search were ('developmental coordination disorder' OR 'DCD') AND ('Cognitive Orientation to daily Occupational Performance' OR 'Cognitive Orientation to Occupational Performance' OR 'CO-OP'). Among 211 searched studies, 7 selected studies that match the thesis of this study were analyzed. Results : The selected studies showed a relatively high level of evidence overall, including two randomized experimental studies, one non-random two-group study, three non-random one-group studies, one single-subject study. The self-selected goals preference of the children was high in the order of play, education, and daily life activities. Most of applicable sessions were conducted 10 times during a 1-h period, and intervention effects showed positive outcomes on the occupation performance motor domain. To measure the effectiveness of CO-OP, the improvement of occupational performance was evaluated using Canadian Occupational Performance Measure (COPM) and Performance Quality Rating Scale (PQRS), and the improvement of motor skills was evaluated using Movement Assessment Battery for Children (M-ABC). Conclusion : This study is expected to be used as basic clinical data when applying the CO-OP approach to Developmental Coordination Disorder.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.11a
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• pp.171-176
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• 1996

증기발생기 노즐댐작업은 고방사선 구역에서의 극한작업으로서 로봇이 이 작업을 성공적으로 수행하기 위해서는 로봇을 증기발생기 수실 내부로 자동으로 입실시켜 노즐댐 장/탈착 작업시 로봇의 플랫포옴 역할을 담당함과 동시에 작업 완료후 로봇을 수실 외부로 회수하는 장치인 로봇 입/퇴실장치의 개발이 필수적이다. 본 연구에서는 증기발생기 노즐 댐작업용 로봇시스템 개발을 위하여 로봇 입/퇴실장치의 최적설계를 위한 기구학 해석을 수행하였다.

• Proceedings of the KAIS Fall Conference
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• 2009.12a
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• pp.739-742
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• 2009

대형 트럭의 적재함 제조 공장의 경우 전 공정이 인력에 의존하는 강도 높은 제조 현장이다. 특히 적재함의 양 측면 게이트 고정 작업의 경우 약 7명 정도의 인력이 투입되어 드릴링 및 조립 작업을 수행한다. 또한 드릴링 작업은 작업자의 손목이 손상되는 사고를 빈번히 일으키고 있는 위험 작업이다. 본 연구에서는 이와 같은 일련의 작업을 작업자 2인이 수행할 수 있도록 설계하고 제작하는 것에 그 목적이 있다. 본 논문에서는 자동 드릴링 머신을 개발하기위한 기구적 및 시스템 설계, 제어 방법에 대해 소개한다.

• Journal of Digital Contents Society
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• v.16 no.5
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• pp.691-697
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• 2015

Supercomputers are used for many different areas including new product design of industries as well as state-of-the-art science and technology for large amount of computational needs. Tachyon is a 4th supercomputer built at KISTI that is a high-performance parallel computing system with 3,200 computing nodes and infrastructures. This system is currently about 10,000 users and over 170 organizations are used, the number of jobs they are performing work in batch type form through a scheduler. Also, this system logs lots of job scripts, execution environment, library, job status from the job submit to end. In this paper, we analyzed batch jobs information from Sun Grid Engine, that use as a scheduler in Tachyon system, and job executed information in Tachyon System. In particular, we distinguished the fail jobs from the all tasks that users perform and we analyzed the cause of failure. Among them, we can extracted some of jobs that can be regarded as normal jobs through the improvement in those works logged as all of fail jobs.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.2
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• pp.68-74
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• 2005

In deadline scheduling, jobs have deadlines by which they are completed. The scheduling algorithm determines which jobs are executed at each time. Then only the completed jobs contribute to the throughput or gain of the algorithm. The jobs have arbitrary weights and the gain of the algorithm is given as the sum of weights of the completed jobs. The goal of the scheduling algorithm is to maximize its gain. In this paper, we consider online non-preemptive scheduling, where jobs arrive online and the scheduling algorithm has no information about jobs arriving ahead. Also the jobs cannot be preempted or rejected while they are executed. For this problem, we obtain lower bounds for any online algorithms and also we propose an optimal online algorithm meeting the lower bounds.

• 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.