• Korean Journal of Community Nutrition
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• v.2 no.4
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• pp.593-604
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• 1997

The job characteristics and competencies of 285 dietitians in employee foodservices were investigated by worker-oriented job analysis methodology. The purposes of this study were to : a) determine the knowledge, abilities, skills and other characteristics(KASO, hereafter) needed for dietitians in two types of employee foodservice groups(self-operated vs. contracted) and b) the analysis of the degree of frequency and importance and entry requirements of KASO items listed below : their degree of frequency, the level of importance and their function as entry requirements. The 134 KASO items would be divided into 12 task categories. The questionnaire was mailed to 250 dietitians who are members of The Korean Dietetic Association Practice Group in self-operated foodservices(hereafter group A) and 250 dietitians who are employed in contracted foodservice companies(hereafter group B). Completed questionnaires were received from 285 dietitians(121 in self-operated, 164 in contracted) ; with a response rate of 57%. Statistical data analysis was completed using the SPSS/win and the SAS/win packages. The results of this study can be summarized as follows. 1) Analysis of the degree of frequency, importance and entry requirements of 134 KASO items in group A showed a high priority(score〉4.0) placed on 14 items in relation to dietetic tasks and 9 items in relation to human attributes, whereas in group B 19 items in relation to dietetic tasks and 11 items in relation to human attributes. 2) Comparing responses about the KASO items in the 12 task categories, there was a significant difference between the two sample groups with regard to degree of frequency : group A scored 3.29, group B scored 3.50(p〈0.01). With regard to importance of KASO items in 12 task categories, group A scored 3.78 and group B scored 3.88 showing no significant differences. With to entry requirements of KASO items in 12 task categories, group A scored 3.29 and group B scored 3.46 showing a significant difference(p〈0.05). (Korean J Community Nutrition 2(4) : 593-604, 1997)

• Knowledge Management Research
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• v.23 no.3
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• pp.213-229
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• 2022

This study aimed to reveal factors that contribute to the creation of collective intelligence (CI) and to provide a cornerstone for future studies on this subject. We hypothesized that effects of the complexity and meaningfulness of the task, diversity, openness to experience, independence, decentralization, and the use of information and communication technology (ICT) are preconditions for the creation of CI. To investigate these hypotheses, we surveyed 200 individuals in the research and development-based manufacturing industry and collected a total of 185 valid responses. The results of the analysis showed that the meaningfulness of the task, openness to experience, independence, decentralization, and the use of ICT had positive effects on CI. Both perceived dissimilarity and value diversity had negative effects on CI. When all variables were included, their significance for the creation of CI showed the following order: use of ICT, the meaningfulness of the task, openness to experience, perceived dissimilarity, and value difference. The theoretical and empirical implications of these results were discussed.

• Transactions on Control, Automation and Systems Engineering
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• v.4 no.1
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• pp.100-107
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• 2002

The advanced bilateral control algorithm, which can enlarge a reflected force by combining force reflection and compliance control, greatly enhances workability in teleoperation. In this scheme the maximum boundaries of a compliance controller and a force reflection gain guaranteeing stability and good task performance greatly depend upon characteristics of a slave arm, a master arm, and an environment. These characteristics, however, are generally unknown in teleoperation. It is, therefore, very difficult to determine such maximum boundary of the gain. The paper presented a novel method for design of an advanced bilateral controller. The factors affecting task performance and stability in the advanced bilateral controller were analyzed and a design guideline was presented. The neurofuzzy compliance model (NFCM)-based bilateral control proposed herein is an algorithm designed to automatically determine the suitable compliance for a given task or environment. The NFCM, composed of a fuzzy logic controller (FLC) and a rule-learning mechanism, is used as a compliance controller. The FLC generates compliant motions according to contact forces. The rule-learning mechanism, which is based upon the reinforcement learning algorithm, trains the rule-base of the FLC until the given task is done successfully. Since the scheme allows the use of large force reflection gain, it can assure good task performance. Moreover, the scheme does not require any priori knowledge on a slave arm dynamics, a slave arm controller and an environment, and thus, it can be easily applied to the control of any telerobot systems. Through a series of experiments effectiveness of the proposed algorithm has been verified.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.8
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• pp.1192-1197
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• 2013

In this paper Ubiquitous Medical Electronic Device Export was defined, and it's job analysis. The authors have been defined the job and classified duties and tasks of Ubiquitous Medical Electronic Device Export. To fine what is the most efficient task for Ubiquitous Medical Electronic Device Export, we have been investigated the levels of importance, difficulty, frequency and entry in each task. A DACUM committee is composed of total 12 members, which are one facilitator, 10 panel members, one coordinator & recorder to analyze the job of Ubiquitous Medical Electronic Device Export. Following is the result of this study. First, The process began with the identification of a job title and definition of Ubiquitous Medical Electronic Device Export. Second, a job model of Ubiquitous Medical Electronic Device Export is constructed based on the results of DACUM job analysis. 5 duties and 33 tasks are analyzed. Third, occupational specification was drawn up in consultation with SME council. Fourth, duty specification was drawn up in consultation. 33 tasks that are essential in entry level of occupation are identified. Fifth, task specification was drawn up in consultation. Detail task component which include skill, materials, knowledge, equipment, achievement level and tool was specified in task specification.

• Hwankyungkyoyuk
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• v.19 no.3
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• pp.57-66
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• 2006

This study is purposed to compose systematic and efficient curricula of the courses centered on the duties of forest interpreter. In the first step, the purpose of task analysis is to identify the forest interpreter's duties and tasks. 13 professional were designated as panel, and the task chart was completed via DACUM analysis. The tasks performed by forest interpreter are categorized in the development of specialty, program planning, comprehension on the engaged forest, program development, program execution and program evaluation, which are classified into 59 sub-tasks. In the second step, need analysis is focused on the evaluation of the degree of job importance, the necessity of education based on the results from the task analysis. In consequence, 23 key tasks are determined. In the third step, knowledge, skill, tool, and attitude required for key tasks were analyzed and reorganized into 23 subjects. This study has significance in 3 respects. Firstly, the tasks of forest interpreter are analyzed to define their roles. Secondly, the curricula composed according to the results of task analysis and need analysis allow the realizable and prerequisite subjects within the restricted resources. Finally, this study suggests the curriculum, which shall be the bases for the program planning and operation of a lot of educational organization and institutions.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.457-463
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• 2009

The earthwork is essential procedure for all civil engineering projects. Because of its importance in terms of cost and time, it should be managed effectively. In light of this, The Intelligent Excavating System (IES) research consortium has established to improve the productivity, quality and safety of current excavating/earthwork system by the Ministry of Land, Transportation and Maritime Affairs (MLTM) of Korea. This paper summarizes ongoing research aimed at development knowledge and presents a framework of task planning and visualization system for IES. The task planning and visualization system consists of three functions. 1) Using digital terrain model which created by 3D laser scanner, the system can divide it and generates global/local work area so that the excavator can work through the area. 2) In order to operate and/or control the excavator, the system exports the location, paths of boom, arm and bucket data of the excavator to control center. 3) The task planning system is visualized on the computer programming aided-graphic interface which simulates the planned work processes and eventually assists the operator for the control of the excavator. The case study which we have performed, demonstrates the effectiveness of the proposed system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1100-1122
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• 2023

Scheduling user-submitted cloud tasks to the appropriate virtual machine (VM) in cloud computing is critical for cloud providers. However, as the demand for cloud resources from user tasks continues to grow, current evolutionary algorithms (EAs) cannot satisfy the optimal solution of large-scale cloud task scheduling problems. In this paper, we first construct a large- scale multi-objective cloud task problem considering the time and cost functions. Second, a multi-objective optimization algorithm based on multi-factor optimization (MFO) is proposed to solve the established problem. This algorithm solves by decomposing the large-scale optimization problem into multiple optimization subproblems. This reduces the computational burden of the algorithm. Later, the introduction of the MFO strategy provides the algorithm with a parallel evolutionary paradigm for multiple subpopulations of implicit knowledge transfer. Finally, simulation experiments and comparisons are performed on a large-scale task scheduling test set on the CloudSim platform. Experimental results show that our algorithm can obtain the best scheduling solution while maintaining good results of the objective function compared with other optimization algorithms.

• Knowledge Management Research
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• v.2 no.1
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• pp.83-94
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• 2001

It is a challenging task to introduce and apply a theoretical concept like KM (Knowledge Management) to the corporate management by formulating such notion into a computer-based system. Apart from that, a company who suffers financially will be very much reluctant to employ KM, a solution that will not make an immediate impact on profit generation. Nonetheless, the perception of life-long workplace is being replaced by that of life-long career in today's society, and consequently it has become a key importance for the management to minimizing the Joss of valuable knowledge that results from frequent shift of manpower. Furthermore, knowledge is now regarded as a key to corporate competitiveness as its value has become a more important factor than that of physical resource in estimating a company's value. It is therefore necessary to transform such implicit knowledge that one possesses in his/her mind to a formation so that a company can achieve the ultimate goal of implementing KM: increase of profit and cost reduction. The objective of this research is to look into the case examples of the way in which Samsung Electronics implemented KM and help set the direction for those companies who consider employing KM into their corporate system.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.147.1-147
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• 2001

Future robots, especially service and personal robots, will need much more intelligence, robustness and user-friendliness. The ability to learn contributes to these characteristics and is, therefore, becoming more and more important. Three of the numerous varieties of learning are discussed together with results of real-world experiments with three autonomous robots: (1) the acquisition of map knowledge by a mobile robot, allowing it to navigate in a network of corridors, (2) the acquisition of motion control knowledge by a calibration-free manipulator, allowing it to gain task-related experience and improve its manipulation skills while it is working, and (3) the ability to learn how to perform service tasks ...

• Journal of Korean Library and Information Science Society
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• v.42 no.4
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• pp.31-50
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• 2011

In education, evaluation is an important element because instructor can judge the growth and development of students, it has been to bring about quality improvement in education. Performance assessment has emerged to overcome traditional evaluation such as paper test, multiple choice test. Performance assessment is an approach to measuring a student's status based on the way the student completes a specified task. Information literacy instruction is aimed at cultivating information literacy. Performance assessment suitable for measurement to status of Information literacy. In order to performance assessment, task should have the first. However, instructor is difficult to develop a good performance task to meet the assessment needs. Therefore, this research aims at suggesting the developmental tool of performance task applicable to Information literacy instruction. The proposed tool is a template type, consists of 4 steps, educational goals and learning objectives, knowledge and capabilities, task types, measurement and scoring criteria.