• Journal of the Society of Naval Architects of Korea
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• v.42 no.5 s.143
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• pp.516-527
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• 2005

It has been estimated that up to $80\%$ of all marine accidents have human elements as a cause. Out of these, human elements of crew fatigue is one of the main causes of marine accident. Crew fatigue involves sleep, schedule, workload, off-time, alcohol, health and stress. With a ship handling simulator, the effect of alcohol on ship operational performance is studied for each 0.05 and 0.08 $\%$ blood alcohol concentrations(BAC). The main effect of alcohol was found that ship operational performance was significantly impaired by alcohol compared to that in the non-alcohol condition. The results of this research can be used as basic data to minimize marine accidents.

• ETRI Journal
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• v.44 no.2
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• pp.286-299
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• 2022

Human activity recognition in real time is a challenging task. Recently, a plethora of studies has been proposed using deep learning architectures. The implementation of these architectures requires the high computing power of the machine and a massive database. However, handcrafted features-based machine learning models need less computing power and very accurate where features are effectively extracted. In this study, we propose a handcrafted model based on three-dimensional sequential skeleton data. The human body skeleton movement over a frame is computed through joint positions in a frame. The joints of these skeletal frames are projected into two-dimensional space, forming a "movement polygon." These polygons are further transformed into a one-dimensional space by computing amplitudes at different angles from the centroid of polygons. The feature vector is formed by the sampling of these amplitudes at different angles. The performance of the algorithm is evaluated using a support vector machine on four public datasets: MSR Action3D, Berkeley MHAD, TST Fall Detection, and NTU-RGB+D, and the highest accuracies achieved on these datasets are 94.13%, 93.34%, 95.7%, and 86.8%, respectively. These accuracies are compared with similar state-of-the-art and show superior performance.

• Journal of the Ergonomics Society of Korea
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• v.19 no.1
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• pp.49-61
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• 2000

An experiment was designed to evaluate Fitts' law for the three-dimensional virtual pointing task and to compare the three input devices; Spaceball, Spacemouse, and 3D-Mouse. The result showed that Fitts law fitted poorly for the three-dimensional pointing tasks with relatively low coefficients of determinant. Three reasons, high degree-of-freedom, dynamic egocentric viewpoint change, and clutching problem were discussed to explain the poor fitness of Fitts' law. In terms of device comparison, the 3D-Mouse was superior to the other input devices. Also, the stereoscopic display significantly increased the performance. The results of this study can be used for the design of virtual control tasks and the selection of suitable input devices.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.408-412
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• 2007

This paper presents, with some actual cases of employing clear case, as a R&D project configuration management tool, a new methodology for the evaluation and enhancement of project performance in R&D organization. This methodology enables you to forecast future results of the project with story telling skill, to innovate R&D project execution using the concept of Technology Supply Chain with global R&D human resources, to improve the performance of each development stage based on the voices of customer, and to enhance the quality of output and to minimize risk of project with timely positioning of R&D human resources.

• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.6
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• pp.117-126
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• 2008

Recently, the investment and importance have been increasing concerning the researches which are based on fundamental studies. In defense science and technology development, the defense research centers are involved in a large portion of developing the potential capability such as defense applied technology, enhanced human resource, etc. In this paper, we analyzed the relative efficiency of 9 research centers(9 DMU : Decision Making Unit) supported by the defense budget, using DEA(Date Envelopment Analysis) method especially with the CCR-I(Charnes, Cooper, Rhodes-Input) model. Some variables are selected such as budget(input data), patent, article and human resource(output data) to be analyzed. Conclusively, the needs to identify performance-indicators, increase incentives to promote the performance and induce enthusiastic participation in defense science and development projects, are suggested via a relative efficiency analysis.

• Journal of Information Technology Services
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• v.7 no.2
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• pp.95-111
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• 2008

The objective of this study is to suggest the effects of the fit between project managers' competency and leadership style on the performance of IT projects. Also, this study examine that the project duration among the project's characteristics moderates the impact of the managers' competency and leadership style on the performance of IT projects. As the results of analysis, we found that the participative leadership and the supportive leadership of project manager is affected by the human and the conceptual skills, and the directive-achievement leadership is affected by the technical skills positively. The project duration moderates the impact of the fit between the participative leadership and the technical skills. and the fit between the directive-achievement leadership and the technical and the human skills positively.

• Journal of the Korea Society for Simulation
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• v.31 no.1
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• pp.11-18
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• 2022

Recently, research to classify human activity using imagery has been actively conducted for the purpose of crime prevention and facility safety in public places and facilities. In order to improve the performance of human activity classification, most studies have applied deep learning based-transfer learning. However, despite the increase in the number of backbone network models that are the basis of deep learning as well as the diversification of architectures, research on finding a backbone network model suitable for the purpose of operation is insufficient due to the atmosphere of using a certain model. Thus, this study applies the transfer learning into recently developed deep learning backborn network models to build an intelligent system that classifies human activity using imagery. For this, 12 types of active and high-contact human activities based on sports, not basic human behaviors, were determined and 7,200 images were collected. After 20 epochs of transfer learning were equally applied to five backbone network models, we quantitatively analyzed them to find the best backbone network model for human activity classification in terms of learning process and resultant performance. As a result, XceptionNet model demonstrated 0.99 and 0.91 in training and validation accuracy, 0.96 and 0.91 in Top 2 accuracy and average precision, 1,566 sec in train process time and 260.4MB in model memory size. It was confirmed that the performance of XceptionNet was higher than that of other models.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.3
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• pp.177-187
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• 2016

The purpose of this study is to look into the influence of salesperson's human networking and knowledge on its job in an insurance company in its performances and to suggest how to effectively manage and develop salespersons. For this study, 305 salespersons participated in a questionnaire survey and we used T-TEST to analyze the data. The results are as follows. Its performance is positively influenced by salesperson's networking and knowledge on its job. In term of moderating effect on the attitude for its job, making efforts to organize networking was rejected, however the attitude for retaining their networking positively affected to the performance. As a result, the higher the level of salesperson's knowledge and networking is the higher its performance. To increase competitiveness, an insurance company has a strategy for the support to organize networking and the training of salespersons to become high performers.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.211-221
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• 2020

This study aims to analyze the effect of structural Person-Organization Fit and organizational justice on organizational commitment, job satisfaction, Organizational Citizenship Behavior and employee performance. This study is based on a quantitative approach by collecting data using a survey conducted on three SOE's companies in Indonesia that operate in Makassar City, namely Pelindo. Ltd (Port Company), PLN. Ltd (Electric Company) and Pertamina. Ltd (Oil and Gas Company), with a sample of 90 employees. The study population was all non-managerial permanent employees. Data analysis using Structural Equation Modeling. In structural relations, out of the nine direct tests, there were two insignificant relationships, and in all three hypotheses there was one not-supported hypothesis. When compared between person-organization Fit and Organizational Justice, it is found that organizational justice has a more critical role in building Human Resource performance compared to Person-Organization Fit, because organizational justice is better able to provide job satisfaction and make organizational commitment and OCB as a prerequisite for its formation to better Human Resources performance. With organizational justice, employees will feel more satisfied working, committed to the work and organization, and behaves as a supportive organizational citizen for the realization of the best performance for the interests of the organization going forward.

• Journal of Technology Innovation
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• v.23 no.2
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• pp.55-80
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• 2015

This Study's topic is to study on the effects of core competencies as such as leadership, strategic competences' influence towards the university-industry cooperation on technology transfer and education performances. First, the existing studies and literatures have been reviewed. Second, the nationwide surveys were conducted. In results, the leadership competence did not have any impact on the operation performances. Strategic competence did not have any impact on the technology transfer, but it influenced the education performance. Human resource competence also did not have any influence on the managing performances, but it has been analyzed that the R&D competence had an influence over the technology transfer part of the managing performance. The University-Industry Cooperations create an opportunity and secures competencies for the enterprise, it also enhances the R&D competency of University and provides supports in nurturing the human resources. Especially, the strategic competency amongst the independent variables has influenced the education performance.