• 제목/요약/키워드: Task goal

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객체지향 방법론을 이용한 제품정보관리(PDM) 시스템에서의 워크플로우 설계 (Workflow Design on Product Data Management System Using Object-Oriented Modeling Technique)

  • 최종윤;최경희;안병하
    • 한국전자거래학회지
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    • 제4권1호
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    • pp.145-157
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    • 1999
  • The challenge is to maximize the time-to-market benefits of concurrent engineering while maintaining control of data and distributing it automatically to the people who need it when they need it. The way PDM systems cope with this challenge is that master data is held only once in a secure vault where its integrity can be assured and all changes to it monitored, controlled and recorded. The structure of PDM is various from vendor, but they have common module. That is PDM and it is most important. The goal is to design the workflow in PDM using object-oriented modeling method. The past methods have concentrated on the flow between workflow engine and agent, but this paper will focus on task. We will model task as individual object. This paper uses OMT(Object Modeling Technique) by James Rumbaugh for base modeling tool and uses DCOM(Distributed Component Object Model) for base ORB(Object Request Broker). Research object is to design the static object model, to design state change by dynamic model and to design data transition by functional model.

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Autonomous Maze Solving Robot

  • Ye, Gan Zhen;Kang, Dae-Ki
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2011년도 추계학술대회
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    • pp.165-167
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    • 2011
  • Autonomous robots are intelligent machines that are capable of performing task in the world themselves with little or no human intervention. One of the main reason autonomous robots gained popularity in human's world is their ability to perform task with high degree of precision, accuracy and also consistency. One of the most studied fields in autonomous robot is the ability of decision making in robots. To tackle the ability of robots to make decision, this paper proposed an Autonomous Maze Solving Robot that is able to solve a maze using the optimum solution. The maze and the design of the robot are in compliance with IEEE Micromouse competition rules and regulation. Micromouse is an autonomous maze solving robot that shall be able to explore a maze on its own from a predefined starting location and find the optimum path to reach the predefined goal in the maze without human's intervention.

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지식획득과 변환을 통한 사회적 자본의 업무 성과에의 영향에 대한 실증 연구 (Effects of Social Capital on Individual Task Performance via Knowledge Acquisition and Transformation: An Empirical Study)

  • 손하늬;한세희;허동철;민진영;이희석
    • 지식경영연구
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    • 제14권2호
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    • pp.117-135
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    • 2013
  • In a contemporary organization, the role of social capital has been increasingly important in sharpening knowledge management practices. The primary objective of this paper is to propose a research model to measure the effects of social capital on individual performance. The model also investigates the mediating mechanism of knowledge acquisition and knowledge transformation, both of which are critical in fostering an enterprise's absorptive capacity. The field data was collected from a knowledge-centric organization. The analysis result reveals that shared goal is crucial in enabling knowledge processes. Furthermore, it is found that knowledge transformation rather than knowledge acquisition is more likely to lead to individual task performance.

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A Method for Local Collision-free Motion Coordination of Multiple Mobile Robots

  • Ko, Nak-Yong;Seo, Dong-Jin;Kim, Koung-Suk
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1609-1614
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    • 2003
  • This paper presents a new method driving multiple robots to their goal position without collision. To consider the movement of the robots in a work area, we adopt the concept of avoidability measure. To implement the concept in collision avoidance of multiple robots, relative distance between the robots is proposed. The relative distance is a virtual distance between robots indicating the threat of collision between the robots. Based on the relative distance, the method calculates repulsive force against a robot from the other robots. Also, attractive force toward the goal position is calculated in terms of the relative distance. The proposed method is simulated for several cases. The results show that the proposed method steers robots to open space anticipating the approach of other robots. The proposed method works as a local collision-free motion coordination method in conjunction with higher level of task planning and path planning method for multiple robots to do a collaborative job.

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수업 연계 수행평가 전략 설계 방안 연구 (A Study on the Strategy of Performance Assessment based on Classroom)

  • 원효헌;허균
    • 수산해양교육연구
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    • 제27권1호
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    • pp.125-132
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    • 2015
  • The purpose of this study was to search the concept and meaning of performance assessment(PA) in the classroom, and the to proposed some strategies to apply PA. The result of this study was presented below. First, differentiation strategy is necessary in the evaluation goal. Individualization will be an example of differentiation strategy in the evaluation of group goal. Second, various strategies are needed based on the subjects of evaluation. Self-evaluation, peer-evaluation, and small group-evaluation are some examples evaluation for the subjects. Third, there is a need for phase-strategy assessment. For the class associated performance assessment, we have to consider the evaluation activities based on the time likes before (pre), on, and after class. How to select the evaluation task is also one of the key sucess factors for improving the class associated performance assessment.

A Motivation-Based Action-Selection-Mechanism Involving Reinforcement Learning

  • Lee, Sang-Hoon;Suh, Il-Hong;Kwon, Woo-Young
    • International Journal of Control, Automation, and Systems
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    • 제6권6호
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    • pp.904-914
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    • 2008
  • An action-selection-mechanism(ASM) has been proposed to work as a fully connected finite state machine to deal with sequential behaviors as well as to allow a state in the task program to migrate to any state in the task, in which a primitive node in association with a state and its transitional conditions can be easily inserted/deleted. Also, such a primitive node can be learned by a shortest path-finding-based reinforcement learning technique. Specifically, we define a behavioral motivation as having state-dependent value as a primitive node for action selection, and then sequentially construct a network of behavioral motivations in such a way that the value of a parent node is allowed to flow into a child node by a releasing mechanism. A vertical path in a network represents a behavioral sequence. Here, such a tree for our proposed ASM can be newly generated and/or updated whenever a new behavior sequence is learned. To show the validity of our proposed ASM, experimental results of a mobile robot performing the task of pushing- a- box-in to- a-goal(PBIG) will be illustrated.

공공기관의 대국민 서비스 효율성 제고를 위한 프로세스 기반 자가진단 방법론 개발 (Development of Self-Diagnosis Methodology Based on Process for Improving the Effectiveness in Public Institutions Service)

  • 김창희;이상훈;김수욱
    • 한국경영과학회지
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    • 제40권1호
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    • pp.171-184
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    • 2015
  • The purpose of this study is to develop the self-diagnosis methodology based on process for improving the effectiveness in public institutions service and to suggest it. For this goal, we would like to select the management methodology which can be easily handled from the viewpoint of working personnel in the public institutions and make it as a process. First, the strategy for the public institutions and the strategic task for practicing it are acquired using BSC (Balanced Score Card) which is now under the active research. At this time, the relative degree of significance is derived using the AHP (Analytic Hierarchy Process) which is conducted for the professionals and management to get the degree of importance in the strategic tasks. The acquired relative degree of significance and the figures related to the performance of each strategic task derived from the subsequent questionnaire are used to get the final highly efficient strategic task through IPA (Importance Performance Analysis). In this study, this process based self diagnosis methodology will be explained in detail using the case of Project A in order to verify the effectiveness of the management science technique on the self diagnosis of the public institutions.

The Effective Factors of Professional Learning : Study on Accounting Firms in Korea

  • Song, Youjung;Chang, Wonsup;Chang, Jihyun
    • The Journal of Asian Finance, Economics and Business
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    • 제5권2호
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    • pp.81-94
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    • 2018
  • The purpose of this study is to substantiate the affecting factors of informal learning outcomes for professions in various dimensions of an individual and organization. In specific, the study analyzed the effects of learning motivation, job characteristics, and a supportive learning environment which have on task-related knowledge acquisition, adapting to organization and understanding contexts, relationship formation, and improving self-development-ability. The participants of the study were 261 professionals working at four major accounting firms in South Korea. Multiple regression models were applied step by step for analysis. In this study, the informal learning of professionals working at four major accounting firms is influenced by various factors of learning motivation, job characteristics, and a supportive learning environment. The detailed analysis results were as follows. Firstly, peer-support showed the most positive effect on task-related knowledge acquisition. Secondly, for adapting to organization and understanding contexts, task autonomy showed the greatest effect. Thirdly, peer-support was found to be the most important factor for relationship formation. Fourthly, for improving self-development ability, learning goal orientation showed to be the most important factor. The various factors facilitated the professional learning by empirical identification. The study presented practical implications for creating an effective informal learning support environment.

Evidence for U.S. Preventive Services Task Force (USPSTF) Recommendations Against Routine Mammography for Females between 40-49 Years of Age

  • Karimi, Parisa;Shahrokni, Armin;Moradi, Sedighe
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권3호
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    • pp.2137-2139
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    • 2013
  • Breast cancer is the most common cancer among females, worldwide, accounting for 22.9% of all cancers (excluding non-melanoma skin cancer) in females. Mammography is a sensitive (77-95%) and specific (94-97%) screening method for breast cancer. Previously, females between the 40-50 years old were recommended to have mammograms every one to two years. However, based on current evidence, in 2009, USPSTF recommended that the decision to start regular, biennial screening mammography for females younger than 50 years should be an individual decision and take patient context into account, including the patient's values regarding specific benefits and harms. This decision was based on findings regarding radiation exposure, false-positive and false-negative rates, over-diagnosis, and pain and psychological responses. The goal of this paper is to focus on evidence for updating the U.S. Preventive Services Task Force (USPSTF) recommendation against routine mammography for females between 40-49 years of age.

군사로봇의 감시제어에서 운용자 역량 평가 방법에 관한 연구 (Operator Capacity Assessment Method for the Supervisory Control of Unmanned Military Vehicle)

  • 최상영;양지현
    • 로봇학회논문지
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    • 제12권1호
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    • pp.94-106
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    • 2017
  • Unmanned military vehicles (UMVs) will be increasingly applied to the various military operations. These UMVs are most commonly characterized as dealing with "4D" task - dull, dirty, dangerous and difficult with automations. Although most of the UMVs are designed to a high degree of autonomy, the human operator will still intervene in the robots operation, and tele-operate them to achieve his or her mission. Thus, operator capacity, along with robot autonomy and user interface, is one of the important design factors in the research and development of the UMVs. In this paper, we propose the method to assess the operator capacity of the UMVs. The method is comprised of the 6 steps (problem, assumption, goal function identification, operator task analysis, task modeling & simulation, results and assessment), and herein colored Petri-nets are used for the modeling and simulation. Further, an illustrative example is described at the end of this paper.