• Journal of Digital Convergence
• /
• v.11 no.10
• /
• pp.387-394
• /
• 2013

Data mining is the process of discovering hidden, non-trivial patterns in large amounts of data records in order to be used very effectively for analysis and forecasting. Because hundreds of variables give rise to a high level of redundancy and dimensionality with time complexity, they are more likely to have spurious relationships, and even the weakest relationships will be highly significant by any statistical test. Hence cluster analysis is a main task of data mining and is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups. In this paper system implementation is of great significance, which defines a new definition based on information-theoretic entropy and analyse the analogue behaviors of objects at hand so as to address the measurement of uncertainties in the classification of categorical data. The sources were taken from a survey aimed to identify of job guidance from students in high school pyeongtaek. we show how variable precision information-entropy based rough set can be used to group student in each section. It is proved that the proposed method has the more exact classification than the conventional in attributes more than 10 and that is more effective in job guidance for students.

• Journal of KIISE:Computer Systems and Theory
• /
• v.30 no.1
• /
• pp.1-11
• /
• 2003

Fragmentation is the main performance bottleneck of large, multi-user multicomputer system. This paper presents an L-Shaped Submesh Allocation(LSSA) strategy, which lifts the restriction on the rectangular shape formed by allocated processors in order to address the problem of fragmentation. LSSA can manipulate the shape of the required submesh to fit into the fragmented mesh system. Thus, LSSA accommodates incoming jobs faster than other strategies and results in the reduction of job response time. Extensive simulations show that LSSA performs more efficiently than other strategies in terms of the external fragmentation, the job response time and the system utilization.

• Journal of Information Technology Services
• /
• v.21 no.1
• /
• pp.103-125
• /
• 2022

This study empirically examines the correlation between the data, system, service quality, collective intelligence, innovation activity, and work performance of the KMS for employees of state-run enterprises. This study also confirmed that collective intelligence and innovation activity have a mediating effect on the relationship between KMS system quality and work performance. For this study, employees of state-run enterprises completed a 5-point Likert scale survey, and the data obtained were analyzed with descriptive statistics. The reliability and validity of variables were also verified through a measurement model analysis. Structural equation modeling of IBM SPSS 26 and AMOS 26 were used to prove the hypothesis. Through this study, For the improvement of sustainable work performance of state-run enterprises, which is a difficult issue to solve, not only should the quality of the KMS utilized in the enterprises be improved and managed, but also the design for various incentive schemes tailored to the enterprises' job characteristics, such as rewards, HR bonus, work incentives, job allowance, and encouragement from the head of the enterprise, should be reviewed and continuously developed in reflection of the active collective intelligence of the employees and the effect of innovation activities. Then, the work performance of public institutions will increase.

• Journal of Convergence for Information Technology
• /
• v.9 no.12
• /
• pp.271-278
• /
• 2019

Working in the beauty industry accompanies high emotional stress because of the need to provide face-to-face customer service. Therefore, beauty industry employees should be recognized as internal customers and job satisfaction should be enhanced through appropriate internal marketing (education and training, compensation system, delegation, management support). With this preceded, it could lead to employees providing various satisfactory services to external customers, ultimately resulting in maximized sales and lower turnover rate. Four hypotheses were established to support this proposition, and 320 copies of questionnaires were collected from Nov. 1 to Dec. 30, 2018 targeting the beauty industry franchise workers which were analyzed through frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis, route Analysis and the like, using programs AMOS 21.0 and SPSS 22.0. As a result, education and training did not affect employees' job satisfaction, but the compensation system, delegation, and management support had a positive(+) effect.

• Journal of Convergence for Information Technology
• /
• v.11 no.8
• /
• pp.194-200
• /
• 2021

The beauty industry continued to develop despite the difficult social environment, and in the process, small-scale beauty businesses grew rapidly into large-scale beauty franchises. Therefore, this study was conducted because it was considered that various internal marketing is necessary for workers in the beauty industry. In order to find out what kind of internal marketing has a great effect on job immersion for workers, from February 1, 2021 to March 2021 By the 31st, 220copies out of 250 questionnaires were collected and frequency analysis, reliability analysis, factor analysis, correlation analysis, and multiple regression analysis were performed with spss 22.0. Satisfying internal marketing was a reward system and it was found that it had the greatest influence on job commitment. Therefore, it is considered that the actual internal marketing that workers want should be planned.

• Proceedings of the KSRS Conference
• /
• 2004.10a
• /
• pp.322-325
• /
• 2004

Recently the domestic technologies to manage forest and to control all related information were developed very rapidly by integrating FGIS (Forest Geographic Information System) and IT (Information technology). However, there still exists a mapping problem for example when overlaying a topography maps scaled in 1/5,000 to a forest type map scaled in 1/25.000. Moreover, there is a greater need to introduce the advanced spatial technologies such as high-resolution satellite image such as IKONOS and GIS to forest. In this study, 3D high-resolution forest mapping system was developed to possibly overlay with all kinds of scale maps and provide the all detailed information by using high-resolution satellite image and GIS. Through this system, all related forest officials could have and maintain the data consistency for their job and share the standard forest database with other post.

• Journal of the Korea Society of Computer and Information
• /
• v.16 no.7
• /
• pp.13-23
• /
• 2011

Grid computing is a new generation computing technology which organizes virtual high-performance computing system by connecting and sharing geographically distributed heterogeneous resources, and performing large-scaled computing operations. In order to maximize the performance of grid computing, job scheduling is essential which allocates jobs to resources effectively. Many studies have been performed which minimize total completion times, etc. However, resource costs are also important, and through the minimization of resource costs, the overall performance of grid computing and economic efficiency will be improved. So in this paper, we propose a multi-objective job scheduling model considering both time and cost. This model derives from the optimal scheduling solution using NSGA-II, which is a multi objective genetic algorithm, and guarantees the effectiveness of the proposed model by executing experiments with those of existing scheduling models such as Min-Min and Max-Min models. Through experiments, we prove that the proposed scheduling model minimizes time and cost more efficiently than existing scheduling models.

• Journal of the Korea Convergence Society
• /
• v.9 no.5
• /
• pp.21-26
• /
• 2018

In this study, HRD-NET (http://hrd.go.kr), a vocational and training integrated computer network operated by the Ministry of Employment and Labor, is used to confirm whether job training information required by job seekers is being provided smoothly The question bulletin board was extracted using 'R' program which is optimized for big data technique. Therefore, the effectiveness, appropriateness, visualization, frequency analysis and association analysis of the vocational training system were conducted through this, The results of the study are as follows. First, the issue of vocational training card, video viewing, certificate issue, registration error, Second, management and processing procedures of learning cards for tomorrow 's learning cards are complicated and difficult. In addition, it was analyzed that the training cost system and the refund structure differentiated according to the training occupation, the process, and the training institution in the course of the training. Based on this paper, we will study not only the training system of the Ministry of Employment and Labor but also the improvement of the various training computer system of the government department through the analysis of big data.

• The KIPS Transactions:PartA
• /
• v.14A no.6
• /
• pp.357-362
• /
• 2007

In distributed systems like cluster systems, in order to get more performance improvement, the initial task placement system precisely estimates and correctly assigns the resource requirement by the process. The resource-based initial job placement scheme needs the prediction of resource usage of a task in order to fit it to the most suitable hosts. However, the wrong prediction of resource usage causes serious performance degradation in dynamic load balancing systems. Therefore, in this paper, to resolve the problem due to the wrong prediction, we propose a new load metric. By the new load metric, the resource-based initial job placement scheme can work without priori knowledge about the type of process. Simulation results show that the dynamic load balancing system using the proposed approach achieves shorter execution times than the conventional approaches.

• Journal of Convergence for Information Technology
• /
• v.8 no.2
• /
• pp.171-181
• /
• 2018

The purpose of this study is to suggest the implications for maximizing the efficiency of job training conducted by companies through studying the effects of job education and training programs on job efficiency and job satisfaction. This study surveyed 300 employees of medium and large companies in Cheongju. The causality was verified based on the collected questionnaires. The results of the study are as follows. First, companies should understand the educational needs of heir employees and develop and operate employee-centered education programs. Second, companies need to have an autonomous system in order to allow voluntary application of education that can help employees to perform their duties among the external education programs. Third, companies should uncover the needs of their employees in various ways and build up the latest educational materials and educational environment to establish new knowledge and learning conditions. Finally, companies should recognize their employees as a concept of their partners and respect each employee's capabilities so that they can have autonomy and fun in their work activities.