• 제목/요약/키워드: Task structure

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Scheduling Tasks for a Time Sharing Computer System with a Single Processor

  • 차동완
    • 정보과학회지
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    • 제5권1호
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    • pp.04-10
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    • 1987
  • 本 論文은 단일 processor를 가진 computer time sharing system의 運用 에 關한 것이다. 서로 다른 K 종류의 task들이 各各 獨立的이고 time-homojeneous한 Poisson分布를 따라 System에 들어 오고 있다. 또한, task 가 配當된 quantum동안 process를 받고 난후 이미 주어진 確率에 의해, 써어비스 를 完了받고 System을 離脫하기도 하고, 未完結된 경우 다른 種類의 task로 바뀌 어져 다시 process를 받기 爲해 待期한다고 한다. 이러한 여러종류의 task를 相對 로 한 time sharing model에서는 各種類의 完結에 必要한 process time의 길이에 의해 各種類의 順位(priority)가 一方的으로 決定된 것이 通例이었다. 本 硏究에서 는 各 種類의 順位를 결정하는데 있어서, 좀더 現實的인 諸條件을 반영키 위해, 各種類의 完決에 要하는 process time의 길이 뿐만 아니라, 그들의 重要度 그리고 또 緊急度까지도 고려한 새로운 Schedulign rule을 개발하였다. 또한 이 새로운 Scheduling rule에 의해 順位를 決定하는 Algorithm도 수록하였다.

추상화계층에 기반한 작업영역분석의 모델링 개념 및 적용 원칙 (Work Domain Analysis Based on Abstraction Hierarchy: Modelling Concept and Principles for Its Application)

  • 함동한
    • 대한안전경영과학회지
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    • 제15권3호
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    • pp.133-141
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    • 2013
  • As a work analysis technique, Work Domain Analysis (WDA) aims to identify the design knowledge structure of a work domain that human operators interact with through human-system interfaces. Abstraction hierarchy (AH) is a multi-level, hierarchical knowledge representation framework for modeling the functional structure of any kinds of systems. Thus, WDA based on AH aims to identify the functional knowledge structure of a work domain. AH has been used in a range of work domains and problems to model their functional knowledge structure and has proven its generality and usefulness. However, many of researchers and system designers have reported that it is never easy to understand the concepts underlying AH and use it effectively for WDA. This would be because WDA is a form of work analysis that is different from other types of work analysis techniques such as task analysis and AH has several unique characteristics that are differentiated from other types of function analysis techniques used in systems engineering. With this issue in mind, this paper introduces the concepts of WDA based on AH and offers a comprehensive list of references. Next, this paper proposes a set of principles for effectively applying AH for work domain analysis, which are developed based on the author's experiences, consultation with experts, and literature reviews.

금형 연마용 로보트의 Off-Line Programming System (Robot off-line programming system for polishing task)

  • 국금환;최기봉
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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    • pp.41-46
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    • 1990
  • In the existing robot programming methods, off-line method becames important role of programming because of improvement of hardware and software of PC. The purpose of this study is to develop practical robot programming system for polishing task using PC. In the first place, we have investigated the existing robot programming systems, and derived the requirement of this programming system from the existing systems. And we have decided the structure of this system. After that, we have developed this system. Using Windows software, this programming system has man/machine interface function. So users can use easily and quickly.

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A NOVEL UNSUPERVISED DECONVOLUTION NETWORK:EFFICIENT FOR A SPARSE SOURCE

  • Choi, Seung-Jin
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 1998년도 가을 학술발표논문집 Vol.25 No.2 (2)
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    • pp.336-338
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    • 1998
  • This paper presents a novel neural network structure to the blind deconvolution task where the input (source) to a system is not available and the source has any type of distribution including sparse distribution. We employ multiple sensors so that spatial information plays a important role. The resulting learning algorithm is linear so that it works for both sub-and super-Gaussian source. Moreover, we can successfully deconvolve the mixture of a sparse source, while most existing algorithms [5] have difficulties in this task. Computer simulations confirm the validity and high performance of the proposed algorithm.

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TAG를 이용한 제품의 인지적 분석 및 평가 (Cognitive Analysis and Evaluation of Product using Task Action Grammar)

  • 임치환;이민구
    • 산업경영시스템학회지
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    • 제17권30호
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    • pp.185-192
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    • 1994
  • The complexity and consistency are important factors that affect human information processing in use of product. In this study, complexity and consistency of product(remote controller) are measured by Task Action Grammar(TAG) model. Also, new design alternative of the user interface is presented and evaluated. The results show that the consistent system and the good correspondence between hierarchical structure of system and user's mental model lead to the reduction of errors and enhanced user's performance.

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금형 연마용 로보트의 Off-Line Programming System (Robot Off-Line Programming System for Polishing Task)

  • 국금환;최기봉
    • 한국기계연구소 소보
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    • 통권20호
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    • pp.33-39
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    • 1990
  • In the existing robot programming methods, off-line method because important role of programming because of improvement of hardware and softeare of PC. The purpose of this study is to develop practical robot programming system for polishing task using PC. In the first place, we have investigated the existing robot programming systems, and derived the requirement of this programming system from the existing systems. And we have decied the structure of this system. After that, we have developed this system. Using Windows software, this programming system has man/machine interface function. Therefore users can use easily and quickly.

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Development of PC-based Radiation Therapy Planning System

  • Suh, Tae-Suk;P task group, R-T
    • 한국의학물리학회:학술대회논문집
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    • 한국의학물리학회 2002년도 Proceedings
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    • pp.121-122
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    • 2002
  • The main principle of radiation therapy is to deliver optimum dose to tumor to increase tumor cure probability while minimizing dose to critical normal structure to reduce complications. RTP system is required for proper dose plan in radiation therapy treatment. The main goal of this research is to develop dose model for photon, electron, and brachytherapy, and to display dose distribution on patient images with optimum process. The main items developed in this research includes: (l) user requirements and quality control; analysis of user requirement in RTP, networking between RTP and relevant equipment, quality control using phantom for clinical application (2) dose model in RTP; photon, electron, brachytherapy, modifying dose model (3) image processing and 3D visualization; 2D image processing, auto contouring, image reconstruction, 3D visualization (4) object modeling and graphic user interface; development of total software structure, step-by-step planning procedure, window design and user-interface. Our final product show strong capability for routine and advance RTP planning.

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Learning from the L2 Expository Text

  • Kim, Jung-Tae
    • 영어어문교육
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    • 제10권3호
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    • pp.21-40
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    • 2004
  • This study Questioned what happens in L2 reading comprehension of the expository text, as measured by recall and inference-making abilities, when a L2 reader was induced to develop a content schema about the topic of a target text, but the structure of that schema departs from the structure of the target text Seventy-four. Korean university students read either the same version text twice (consistent condition) or two different version texts (inconsistent condition) with a three-day interval between the two readings. The results of a verification test indicate that, for those subjects with higher L2 reading proficiency, the inconsistent condition was more beneficial than the consistent condition for the inference-making task. On the other hand, for lower-level L2 readers, the consistent condition was more favorable for the recall task. It was concluded that inducing a structurally inconsistent schema through an L2 pre-reading would be beneficial only when the reader's L2 linguistic ability is proficient enough to produce necessary propositions from the pre-reading.

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A Study on the Menu Type of Instrument Cluster IVIS

  • Kim, Hye Sun;Jung, Kwang Tae;Lee, Dhong Ha
    • 대한인간공학회지
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    • 제32권2호
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    • pp.189-198
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    • 2013
  • Objective: This research was carried out to study the menu type design of instrument cluster IVIS(In Vehicle Information System) for efficient navigation under deconcentrated situations. Background: A driver controls the IVIS menu using the rest of cognitive resources while driving a car. Although a driver controls the IVIS using extra cognition resources, his or her distraction can still cause some safety problems while driving. Menu type design of instrument cluster is absolutely important for safe and efficient navigation. Method: Four menu types including paging, flow, icon, and list type were identified through reviewing the existing IVIS of vehicle and the menu structure of cellular phone. Four menu types were evaluated through experiment. The experiment consisted of primary and secondary task, which the primary task was to simulate a driving and the secondary task was to control an IVIS menu prototype. Task performances, menu type preferences, and eye-movement patterns were measured in this experiment. Results: The result shows that icon type was the best design in aspect of task performance and preference. A clue for next menu item provided a positive effect for efficient menu navigation. It was identified that most of subjects gazed the middle-top area of IVIS screen from eye-movement pattern. Conclusion: A basic design of Instrument Cluster IVIS was proposed considering the result of this study in the final. Application: The results of this study can be effectively used in the design of Instrument Cluster IVIS.

공용 신경망의 다중 학습을 통한 음소와 감정 인식의 성능 향상 (Performance Enhancement of Phoneme and Emotion Recognition by Multi-task Training of Common Neural Network)

  • 김재원;박호종
    • 방송공학회논문지
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    • 제25권5호
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    • pp.742-749
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    • 2020
  • 본 논문에서는 하나의 공용 신경망을 사용하여 음소와 감정을 모두 인식하는 방법과 공용 신경망 학습을 위한 다중 학습 방법을 제안한다. 공용 신경망은 동일한 동작을 수행하여 두 정보를 모두 인식하며, 이는 인간이 하나의 청각기관으로 여러 정보를 동시에 인식하는 구조에 해당한다. 다중 학습은 여러 정보를 위한 공통 모델링을 진행하므로 여러 정보에 대한 일반화된 학습을 진행시켜 기존의 정보별 개별 학습에서 나타나는 과적합을 감소시키고 인식 성능을 향상시킨다. 또한, 다중 학습에서 음소 인식에 가중치를 부여하여 음소 인식 성능을 추가 향상시키는 방법을 제안한다. 동일한 특성벡터와 신경망을 사용할 때, 제안한 다중 학습이 적용된 공용 신경망의 성능이 각 정보별로 학습시킨 개별 신경망에 비하여 우수한 것을 확인하였다.