• Journal of Korean Institute of Industrial Engineers
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• v.19 no.2
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• pp.23-34
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• 1993

Although there are numerous studies that address the problem of optimal machine grouping and part family classification for cellular manufacturing, little research has been reported that studies the conditions where cellular manufacturing is appropriate. This paper, in order to evaluate and compare the job shop with the GT cellular shop, the performance of those shops were simulated by using SIMAN. We tested the effect of independent variables including changes of product demands, intercell flow level, group setup time, processing time variability, variety of material handling systems, and job properties (ratio of processing time and material handling time). And also performance measures (dependent variables), such as machine utilization, mean flow time, average waiting time, and throughput rate, are discussed. Job shop model and GT cellular shop written in SIMAN simulation language were used in this study. These systems have sixteen machines which are aggregated as five machine stations using the macro feature of SIMAN. The results of this research help to better understand the effect of production factors on the performance of cellular manufacturing systems and to identify some of the necessary conditions required to make these systems perform better than traditional job shops. Therefore, this research represents one more step towards the characterization of shops which may benefit from cellular manufacturing.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.293-300
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• 2018

To realize various opportunities to choose careers for adolescent sports players, first, it is necessary to help them choose a job suitable for each student's aptitude. In reality, adolescent sports players absolutely have insufficient time for choosing various careers unlike general adolescents and realizing them. Thus, differentiated and specialized convergence learning materials are needed by each job cluster suitable for adolescent sports players' aptitude. The learning materials, specialized for these individual job clusters are a method to show a great effect on education with investing the minimum time, so they have a high value for utilization as necessary learning information for the realization of various opportunities to choose various careers for adolescent sports players.

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.79-95
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• 2024

In modern society, as data plays a crucial role at the levels of businesses, industries, and nations, the utilization of data becomes increasingly important. Consequently, governments are prioritizing the development and implementation of plans to cultivate data workforce, viewing the data industry as a cornerstone of national strategy. To enhance domestic capabilities and nurture workforce in the data industry, it is deemed necessary to conduct an objective comparative analysis with major foreign countries. Therefore, this study aims to analyze cases of domestic and international data industries and explore methods for quantitatively comparing data industry workforce across nations. Initially, the study distinguishes between "data industry workforce" and "data job-related workforce," particularly focusing on professionals handling data-related tasks. Subsequently, it compares the workforce sizes of data job-related workforce across nations, utilizing standardized occupational classification codes based on the International Standard Classification of Occupations(ISCO). However, it should be noted that countries employing their own unique occupational classification systems often require matching job titles with similar meanings for accurate comparison. Through this study, it is anticipated that policymakers will be able to establish future directions for cultivating data workforce based on comparable status.

• Journal of the Korea Society for Simulation
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• v.15 no.4
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• pp.129-136
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• 2006

Grid computing has been appeared for solving large-scaled data which are not solved by a single computer. Grid computing is a new generation platform which connects geographically distributed heterogeneous resources. However, gathering heterogeneous distributed resources produces many difficult problems. Especially. to assure resource reliability is one of the most critical problems. So, we propose a grid resource scheduling model using grid resource reliability measurement. We evaluate resource reliability based on resource status data and apply it to the grid scheduling model in DEVSJAVA modeling and simulation. This paper evaluates parameters such as resource utilization, job loss and average turn-around time and estimates experiment results of our model in comparison with those of existing scheduling models such as a random scheduling model and a round-robin scheduling model. These experiment results showed that the resource reliability measurement scheduling model provides efficient resource allocation and stable Job processing in comparison with a random scheduling model and a round-robin scheduling model.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.19-26
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• 2018

This study is purposed to analyze how the utilization of rehabilitation services and the desire for service utilization changes with time, to explain the factors affecting service needs and to suggest direction of policy improvement for injured workers. Using the Workers' Compensation Insurance Panel Data ver.1~3, this study analyzed 5,004 observations. Panel regression analysis was performed using STATA to examine changes over time. Two key findings were made: first, the factors influencing the degree of need for rehabilitation services were age, educational period, ability on job performance, community service experience, re-employment and unemployment; second, the significant factors influencing the degree of need for rehabilitation services according to time were age, education period, unemployment, ability on job performance, and experience in using community services. That results were different from the previous cross-section analysis. These findings indicate that it is necessary to check and adjust the initial intervention contents after the end of the period of care on a timely base.

• Journal of Industrial Convergence
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• v.20 no.7
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• pp.31-36
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• 2022

There is a growing perception that HR management that streamlines corporate resources is necessary to retain competitive advantage. In this study, data-based HR management is focused on the perception of HR job experts and data-based HR management execution and utilization prospects at corporate sites. The subjects of the study were three HR planning/management job experts of three firms specializing in IT services in Pangyo, and focused on identifying data-based HR management execution, measurement, analysis tools, and utilization level. As a research method, open coding, axis coding, selective coding procedure based on evidence theory was presented. As a result of in-depth interviews, corporate HR management measurement indicators were divided into three areas: employee, productivity, and culture. Through this study, it was possible to find the significance of perception of the company site as to what measurement tools and mechanisms the company implemented and measured the effectiveness and efficiency of HR management.

• Journal of the Korean housing association
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• v.5 no.1
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• pp.29-45
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• 1994

The purpose of this study are to investigate the actual conditions of residing environment in children's room and it's utilization. Further, basic for the guidence and the effective preparation of children's room and children's residing environment in addition willbe produce through grasping the actual conditions of them.The subjects of this study were 214 5th grade elementary school children living in Taegu. The analysis of the data was done through SPSS pc programs.The major findings of this study can be summarized as follow;1. The greater part of children had their own room, and they had the desk, the book case and the clothes chest in their room. But the numbers of children with the bed were few in comparison to those. And a large number of children wanted to have the bed and the computer in their room.2. There were significant differences in the actual conditions of residing environcent in children’s room according to the independent variables. For example, the existence of children's room was variable according to farther's job(0.1% level).3. The case of having their own room in the period of the lower grades in elemtary school dccupied the highest percentage. A lage number of children passed away time mostly in the women'a guarters. In the cleaner of children's room, the case of doing themselves occupied the highest rate as 51 percent.4. There were significant differences in the actual conditions of utilization in children's room according to the independent variables. For example, the period of separation from their parents was variable according to mother's educational level(5%), father's job(0.1%)and the numbers of room(1%).

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.43-50
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• 2020

In this paper, we propose an efficient dynamic workload balancing strategy which improves the performance of high-performance computing system. The key idea of this dynamic workload balancing strategy is to minimize execution time of each job and to maximize the system throughput by effectively using system resource such as CPU, memory. Also, this strategy dynamically allocates job by considering demanded memory size of executing job and workload status of each node. If an overload node occurs due to allocated job, the proposed scheme migrates job, executing in overload nodes, to another free nodes and reduces the waiting time and execution time of job by balancing workload of each node. Through simulation, we show that the proposed dynamic workload balancing strategy based on CPU, memory improves the performance of high-performance computing system compared to previous strategies.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1411-1418
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• 2017

The batch job scheduler recognizes the computational resources configured in the cluster environment and plays a role of efficiently arranging the jobs in order. In order to efficiently use the limited available resources in the cluster, it is important to analyze and characterize the characteristics of user tasks. To do this, it is important to identify various scheduling algorithms and apply them to the system environment. Most scheduler software reflects the user's work environment, from job submission to termination, as well as the state of the inventory and system status of the entire managed object. It also stores various information related to task execution, such as job scripts, environment variables, libraries, wait for tasks, start and end times. In this paper, we analyze the execution log of the scheduler such as user 's success rate, execution time, and resource size through information related to job execution through batch scheduler. Based on this, it can be used as a basis to optimize the system by increasing the utilization rate of resources.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.484-503
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• 2016

Mobile cloud computing has recently become a new paradigm for the utilization of a variety of shared mobile resources via wireless network environments. However, due to the inherent characteristics of mobile devices, a limited battery life, and a network access requirement, it is necessary for mobile servers to provide a dynamic approach for managing mobile resources efficiently in mobile cloud computing environments. Since on-demand job requests occur frequently and the number of mobile devices is drastically increased in mobile cloud computing environments, a different mobile resource management method is required to maximize the computational power. In this paper, we therefore propose a cooperative, mobile resource sharing method that considers both the inherent properties and the number of mobile devices in mobile cloud environments. The proposed method is composed of four main components: mobile resource monitor, job handler, resource handler, and results consolidator. In contrast with conventional mobile cloud computing, each mobile device under the proposed method can be either a service consumer or a service provider in the cloud. Even though each device is resource-poor when a job is processed independently, the computational power is dramatically increased under the proposed method, as the devices cooperate simultaneously for a job. Therefore, the mobile computing power throughput is dynamically increased, while the computation time for a given job is reduced. We conduct case-based experiments to validate the proposed method, whereby the feasibility of the method for the purpose of cooperative computation is shown.