• Asia-Pacific Journal of Business
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• v.13 no.2
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• pp.95-106
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• 2022

Purpose - The purpose of this study was to examine the mediating effect of employee competence on the relationship between the utilization of non-regular workers and firm performance. Design/methodology/approach - This study utilized 427 firm level data from HCCP. The Exploratory Factor Analysis (EFA) and the multiple regression analysis were conducted to verify the hypotheses. Findings - We found that the utilization of non-regular workers is not significantly related to firm performance. However, the utilization of non-regular workers had a negative relationship with employee competence, and that employee competence mediated the relationship between the utilization of non-regular workers and firm performance. Research implications or Originality - As environmental uncertainty and competition between firms intensify, more and more firms are utilizing non-regular workers. Research on the relationship between the utilization of non-regular workers and firm performance is continuously conducted, but research on the process of explaining the specific relationship between them is still insufficient. Our study contributes the related research area by identifying the mediating role of employee competence on the utilization of non-regular workers and firm performance relationship.

• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.149-158
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• 2015

Programming education plays a very effective role in comprehensively learning problem analysis ability, logical thinking ability, procedural problem solving method, and imaginary problem solving method. Until recently, however, it is not applied to the elementary and the middle school in Korea, which is very different from the other IT centerd countries such as the U.S., etc., where coding class is actively implemented. Fortunately, Korean government recognized this reality and decided to implement programming education as a regular subject in the elementary school from 2017. In this situation, many researchers' programming education model research is urgently required for the students to learn in the elementary and the middle school. This research developed and suggested 17 sessions of programing education model connected with scratch language and sensor board, which is hardware, to be applied to the class of the 5th and 6th graders. As the result of implementing the joint class of 5th and 6th graders during the after-school class based on programming education process suggested to verify the suitability for elementary school programing education, satisfactory achievement was attained by the assessed students. The researcher plans to develop an optimum model proper for the elementary school students' intellectual capacity by more improving programming education model.

• Journal of The Korean Association For Science Education
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• v.19 no.3
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• pp.461-470
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• 1999

The purpose of this study was to investigate teachers' perception about 'Science Field Trip(SFT) to Korean historical sites'. Ninety-seven teachers were asked to reply the questionnaire about SFT to Korean historical sites. This questionnaire was divided into three parts: educational value, teaching method, and difficulty of management. Firstly, teachers indicated that SFT to Korean historical sites had much educational value in that it could give students chances to understand Korean culture, to acquire investigative process skills, to experience divergent investigation and cooperative learning, to raise integrated thinking skill concerning science and other subjects, and to learn contents related with science curriculum. It also had advantages of caring for students out of school and giving the information for future occupation. Secondly, teachers suggested the desirable teaching method: teachers' explanation about SFT to Korean historical sites with worksheets before it, students' group work during it, and the presentation and discussion after it. Finally, the most frequent answer in the difficulty of management was the lack of teaching materialsfor SFT to Korean historical sites.

• Journal of Korea Port Economic Association
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• v.38 no.4
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• pp.139-169
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• 2022

This study derived determinants of 'Decent Work' in the logistics industry and aims to use the analysis results as basic data for policymaking related to labor in the logistics industry and to prepare policies suitable for the characteristics of the logistics industry. As the dependent variable of the model, the Decent Job derived from the first study was used, and the target model was derived from panel data of whole industries to understand the unique characteristics of logistics industry jobs and applied to the logistics industry model. This study found that in the logistics industry, developing the expertise of the logistics industry through "vocational training" compared to whole industries is an important factor rather than raising the "academic level" through the regular curriculum. This seems to reflect the characteristics of the logistics industry as specialized vocational training is required in the case of "railway transportation", "inland water and port transportation", and "air cargo transportation", which have a high proportion of decent job workers among the detailed logistics industries analyzed in this study. Therefore, developing job expertise through additional manpower training programs such as vocational training as well as academic fields learned through regular curriculum is a very important factor in engaging in "Decent Work" not only in the logistics industry but also in other industries.

• Korean Journal of Remote Sensing
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• v.14 no.3
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• pp.250-261
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• 1998

The purpose of this paper is to extract fast DEM (Digital Elevation Model) using satellite images. DEM extraction consists of three parts. First part is the modeling of satellite position and attitude, second part is the matching of two images to find corresponding points of them and third part is to calculate the elevation of each point by using the results of the first and second part. The position and attitude modeling of satellite is processed by using GCPs. A area based matching method is used to find corresponding points between the stereo satellite images. The elevation of each point is calculated using the exterior orientation parameters obtained from modeling and conjugate points from matching. In the DEM generation system, matching procedure holds most of a processing time, therefore to reduce the time for matching, a new fast matching algorithm using gradient correlation and fast similarity measure calculation method is proposed. In this paper, the SPOT satellite images, level 1A 6000$\times$6000 panchromatic images are used to extract DEM. The experiment result shows the possibility of fast DEM extraction with the satellite images.

• Journal of the Korea Concrete Institute
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• v.20 no.1
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• pp.51-58
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• 2008

Analytical probabilistic vulnerability analysis requires extensive computing effort as a result of the randomness in both input motion and response characteristics. In this study, a new methodology whereby a set of vulnerability curves are derived based on the fundamental response quantities of stiffness, strength and ductility is presented. A response database of coefficients describing lognormal vulnerability relationships is constructed by employing aclosed-form solution for a generalized single-degree-of-freedom system. Once the three fundamental quantities of a wide range of structural systems are defined, the vulnerability curves for various limit states can be derived without recourse to further simulation. Examples of application are given and demonstrate the extreme efficiency of the proposed approach in deriving vulnerability relationships.

• Spatial Information Research
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• v.19 no.4
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• pp.81-89
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• 2011

This paper presents a multivariate kriging algorithm that integrates categorical data as secondary data for spatial interpolation of sparsely sampled ground survey data. Instead of using constant mean values in each attribute of categorical data, disaggregated local mean values at target grid points are first estimated by area-to-point kriging and then are used as local mean values in simple kriging with local means. This algorithm is illustrated through a case study of spatial interpolation of a geochemical copper element with geological map data. Cross validation results indicates that the presented algorithm leads to significant respective improvement of 15% and 25% in prediction capability, compared with univariate ordinary kriging and conventional simple kriging with constant mean values. It is expected that the multivariate kriging algorithm applied in this study would be effectively applied for spatial interpolation with categorical data.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.665-673
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• 2014

The Korean film market has revved up against American movies and the movie industry has continued to grow even though Korea is a small country. However, most production staffs who are responsible for practical business of film production get wages that fall short of the inflation rate and minimum wages as temporary employees. And there's the atmosphere that they try to leave film sites on the first opportunity. This study finds that the cause to leave film sites is attributed to perception gaps about the hardworking character and labor which occur in the process that production staffs enter the movie industry and participate in film production as well as poor surroundings. And it should establish staffs' hardworking character and recognition as workers to them by reorganizing the current curriculums which approach movies from the only artistic viewpoint in the departments related to movies and images that hold a large majority in their majors, establishing the concept of work according to participation in film production to potential production staffs, and changing their recognition to improve the elements that they leave the sites.

• The KIPS Transactions:PartB
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• v.9B no.4
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• pp.429-436
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• 2002

In order to apply the artificial neural network to the practical application, it is needed to implement it with the hardware system. It is most promising to make it with the hybrid VLSI among various possible technologies. When we Implement a trained network into the hybrid neuro-chips, it is to be performed the process of the quantization on its neuron outputs and its weights. Unfortunately this process cause the network's outputs to be distorted from the original trained outputs. In this paper we analysed in detail the statistical characteristics of the distortion. The analysis implies that the network is to be trained using the normalized input patterns and finally into the solution with the small weights to reduce the distortion of the network's outputs. We performed the experiment on an application in the time series prediction area to investigate the effectiveness of the results of the analysis. The experiment showed that the network by our method has more smaller distortion compared with the regular network.

• Proceedings of the Safety Management and Science Conference
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• 2009.04a
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• pp.371-380
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• 2009

본 연구는 국내에 있는 한 금융사에서 사용하고 있는 기존 인사평가시스템을 사례로 하여 시스템 운영자와 사용자(모든 임직원)가 시스템을 효율적으로 운영하고 사용할 수 있도록 인사평가시스템을 재구축하였다. 새로 구축될 인사평가시스템의 효율을 보다 높이기 위해 인사평가 업무와 평가 절차를 분석하고 그러한 평가체계를 기존 legacy 시스템(인사평가시스템)에 어떻게 반영이 되었는지도 분석하였다. 해당 금융사는 기존 평가시스템을 통하여 임원과 직원뿐 아니라, 비정규직원까지 년마다 상반기와 하반기로 나누어 업적과 역량평가를 각각 두번씩 실시하고 있었다. 평가결과는 나중에 보상이나 승진 시에 중요한 고과자료로 활용하고 있었다. 업적과 역량평가 뿐만 아니라, 신업사원을 대상으로 하는 정규직 수습평가와 계약직을 대상으로 한 역량평가 그리고 전직원이 대상인 다면평가도 실시하고 있었다. 그런데 여러 해에 걸쳐 인사평가를 실시하는 과정에서 평가프로세스가 여러 차례 변하였고, 많은 평가대상자를 평가하다 보니 예외적으로 처리해야 하는 경우도 발생하였다. 이런 변화와 예외적인 사항을 기존 Lagacy시스템에 반영하다 보니 평가데이터를 관리하는 테이블이 처음보다는 많이 늘어나게 되어 현재 약 170개에 달하고 있었다. 이렇게 많은 테이블 중에는 당시에는 사용했으나, 현재는 사용하지 않게 된 것도 포함되어 있었다. 프로그램 소스도 마찬가지로 새로운 요구사항과 많은 예외사항 처리로 인해 복잡해지고 프로그램 소스의 수도 늘어나게 되었다. 이로 인해 평가시스템 담당자는 시스템을 관리하기가 복잡해지고, 새로운 변화나 요구사항에 대응하기가 어려운 사항이었다. 그리고 담당자가 시스템 관리에 더 더욱 어려움을 겪게된 것은 시스템 담당자가 여러 번 바뀌는 과정에서 인수인계에 제대로 이루어 지지 않게 되었고 인사평가시스템 관리문서도 시스템 변화에 따른 히스토리 내용이 제대로 관리되지 못하고 있었기 때문이다. 그래서 이번 연구에서는 기존 legacy 시스템의 테이블과 프로그램 소스를 분석하여 방만하게 늘어날 데이터 관리 테이블을 효율적으로 줄이고, 예외적인 사항을 새로운 인사평가시스템에서 포괄적으로 수용할 수 있도록 재설계하였다. 또한 인사평가시스템 운영중에도 사용자(임직원)들로부터 있을 수 있는 예외적 요구사항을 미리 예측하여 운영담당자가 신속하고 정확하게 대응 할 수 있도록 하였다.