• 한국연극학
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• 제48호
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• pp.261-288
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• 2012

This paper attempts to research on the new language in the directing of Ara Kim. She was cranky on working on the stage to experiment with her own style since the 1980s and so opened a new dawn in modern Korean theatre. She leaded the Korean experimental theatre. The background of this experiment is her idea on theatre. And here, we have to look the subject that she setted for the work in Chuksan: Ritual Past, Ritual Present. To her, the theatre has the function of ritual and fest. The theatre suggests universal tragedy given to human as natural life force and has its own agenda to drive people to healing. For it, Ara Kim explores archetypal forms and languages before the fragmentation of genres of art. Her theatre shows the results of experiments in which such languages are recreated with modernized sensibilities. We here, for example by outdoor performance in Chuksan Human Lear, try to interpret the aesthetic principles that body out her ritual theatre. And what we looked at though, is the base of the 'complex-genre-music-theatre', the methode to 'compose' the stage elements and put it all together. The directing of Ara Kim has, in terms of the composition of the stage elements, much of the indisputable artistic value. Her theatre is, so to speak, theatre of image, and it is theatre of imagination that completed by the audience's imagination. Human Lear which has its own characteristic in image fragments, convert the original Lear into a simple tale. It serves as background of the modern ritual that shows the most basic human instincts. We meet in Human Lear a ritual tale with some list of image for the human instincts. The arrangement of image, the montage of scene shows the performance as a kind of artistic space. In Human Lear the space is the natural one. It centers around the arena stage. The objects installed in the space changes it into the laboratory for 'seeing' the happening. The spectators see the performance and at the same time see themselves in the nature laboratory. They see, and equally, they are visible objects. They see the performance and us in the space in which the performance takes place. That is what Ara Kim with her modern ritual really aims. That aim is to this days still in effect. It is a major driver of her experiments to extend the boundary of the theatre. The ritualistic site-specific performance in Akor Wat, Cambodia, A Song of Mandala is the latest great product from her experiments. On the other hand, she continues on her way to experiment with pure stage elements. The 'Station' series(Station of Water, The Station of Sand, The Station of Wind) she recently showed are the non-verbal performance with all the stage elements: movement, sound, body, light, colour, objects and so on.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.391-399
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• 2020

This study aims to analyze the relationship of e-HRM implementation to employee performance both directly and indirectly through the intervening of the Human Resource service Quality variable, both practically and theoretically. This study uses variance-based structural equation modeling (SEM) techniques with partial least square (PLS) statistical testing tools to test the direct relationship of e-HRM and the performance and relationship moderated by Human Resources service quality tested on 200 civil servants in five offices under the coordination of the Government of the South Sulawesi Province of Indonesia. The data collection model in this study uses an online survey. The data analysis stages through the explanatory concept consist of, first, the interpretation of the distribution of the average frequency of respondents' answers; second, outer-loading; third, determination of the validity and reliability; fourth, the coefficient of determination test and partial test; fifth, the GoF model; sixth, validity test; and seventh, hypothesis testing. This study explores four hypotheses in a comprehensive fashion; the results of this study show that all hypotheses have positive and significant effects both through direct and intervening relationships. Among the three direct relationships, the relationship of e-HRM variables on HR Service Quality is greatest and most dominant.

• 한국자동차공학회논문집
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• 제11권4호
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• pp.180-188
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• 2003

The vehicle simulator is a useful virtual reality system. The simulator enables engineers to effectively research and analyze various experiments. Therefore, the development of a specific vehicle simulator is required, and its performance must be verified. This paper verifies the performance of Pusan National University Vehicle Simulator. Human sensibility ergonomic tests of vehicle simulator were also executed. The sense of simulator motion was chosen as the standard of performance evaluation. The driver's senses were subdivided into senses of rectilinear and rotational velocities. This study extracted ergonomic sensibility words that can be used to evaluate the performance of the simulator As a practical application of simulator, the relation was studied between the sense of simulator motion and the characteristics of drivers, who are classified into their sexes and driving careers. A statistical method was applied to human sensibility ergonomic tests of vehicle simulator.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.519-529
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• 2021

This study aims to investigate the impact of Human Resource Management Practices (HRMP) on improving Employee Performance (EP). The study is accomplished by hypothesizing the impact of HRMP on EP, additionally, this impact is theorized to be mediated through job satisfaction. Employee engagement is also taken into account because of the potential moderating effect it has within the theorized model. Data was collected from 480 questionnaires which were distributed among commercial banks' workers in Jordan and were analyzed using structural equation modeling techniques (SEM), path analysis, and confirmatory factor analysis (CFA). Analysis of a moment structures (AMOS) software version 24 was applied to complete our analysis. The results show that HRMP had a positive impact on EP, as well as job satisfaction and its components (job stability and job enrichment). The mediating role of job satisfaction (enrichment and stability) was discovered. Finally, employee engagement emerged as a moderating variable linking HRMP and EP. The findings of this study show the importance of the role played by job satisfaction and employee engagement in achieving human resources performance goals. Future analysis is recommended to gain deeper insight into the relationship between HRMP, job satisfaction, worker training, and performance appraisal.

• 한국도서관정보학회지
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• 제47권2호
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• pp.359-386
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• 2016

이 연구는 조직의 성과를 극대화 할 수 있는 방안으로 개인의 직무만족과 조직몰입에 영향을 미치는 요인의 탐색을 통한 대학도서관 인적자원관리 시사점 도출을 목적으로 하고 있다. 대학도서관 조직의 전략과 연계된 조직차원의 인적자원관리 시스템이 조직성과에 미치는 직접적 영향 관계의 분석뿐 아니라 고몰입 인적자원관리 시스템이 조직성과에 영향을 미치는 권한위임, 조직문화, 조직공정성, 이직의도 등의 영향관계를 파악하고자 한다. 또한 조직수준 혹은 개인수준의 성과측정이라는 방식을 탈피하여 조직수준의 인적자원관리가 개인수준의 성과에 미치는 영향을 측정하고자 하였다.

• International Journal of Computer Science & Network Security
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• 제21권1호
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• pp.220-225
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• 2021

Human population growth rate is an important parameter for real-world planning. Common approaches rely upon fixed parameters like human population, mortality rate, fertility rate, which is collected historically to determine the region's population growth rate. Literature does not provide a solution for areas with no historical knowledge. In such areas, machine learning can solve the problem, but a multitude of machine learning algorithm makes it difficult to determine the best approach. Further, the missing feature is a common real-world problem. Thus, it is essential to compare and select the machine learning techniques which provide the best and most robust in the presence of missing features. This study compares 17 machine learning techniques (base learners and ensemble learners) performance in predicting the human population growth rate of the country. Among the 17 machine learning techniques, random forest outperformed all the other techniques both in predictive performance and robustness towards missing features. Thus, the study successfully demonstrates and compares machine learning techniques to predict the human population growth rate in settings where historical data and feature information is not available. Further, the study provides the best machine learning algorithm for performing population growth rate prediction.

• Journal of information and communication convergence engineering
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• 제21권1호
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• pp.98-102
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• 2023

This paper presents a study on how augmenting semi-synthetic image data improves the performance of human detection algorithms. In the field of object detection, securing a high-quality data set plays the most important role in training deep learning algorithms. Recently, the acquisition of real image data has become time consuming and expensive; therefore, research using synthesized data has been conducted. Synthetic data haves the advantage of being able to generate a vast amount of data and accurately label it. However, the utility of synthetic data in human detection has not yet been demonstrated. Therefore, we use You Only Look Once (YOLO), the object detection algorithm most commonly used, to experimentally analyze the effect of synthetic data augmentation on human detection performance. As a result of training YOLO using the Penn-Fudan dataset, it was shown that the YOLO network model trained on a dataset augmented with synthetic data provided high-performance results in terms of the Precision-Recall Curve and F1-Confidence Curve.

• 한국경영과학회지
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• 제29권4호
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• pp.117-134
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• 2004

This study suggests a data driven optimization approach, which simulates the models of human learning processes from cognitive sciences. It shows how the human learning processes can be simulated and applied to solving combinatorial optimization problems. The main advantage of using this method is in applying it into problems, which are very difficult to simulate. 'Undecidable' problems are considered as best possible application areas for this suggested approach. The concept of an 'undecidable' problem is redefined. The learning models in human learning and decision-making related to combinatorial optimization in cognitive and neural sciences are designed, simulated, and implemented to solve an optimization problem. We call this approach 'SLO : simulated learning for optimization.' Two different versions of SLO have been designed: SLO with position & link matrix, and SLO with decomposition algorithm. The methods are tested for traveling salespersons problems to show how these approaches derive new solution empirically. The tests show that simulated learning for optimization produces new solutions with better performance empirically. Its performance, compared to other hill-climbing type methods, is relatively good.

• 산업경영시스템학회지
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• 제13권22호
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• pp.71-78
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• 1990

Some problems to assess the safety of automated man-machine system are studied in many ways. The difficulty occurred in this system is the vagueness of human behavior. Fuzzy set theory is used to assess the human behavior in safety analysis. The unsafe behavior listed top 10 in accident statistics would be explained as the factors of human vagueness. Three cases are considered, which consist of man-machine system as man-man, man-machine, machine-machine types. For the design of safe task, using characteristics of work performance, each motion cycle time is required to know the rate of learning. Approach of human behavior to the standard motion means more safe motion. It is important to design the works as to minimize the time performance to the standard motion's, which utilize the control of risk potential with easy. In that process, use of fuzzy set theory is appropriate to analyze the human behavior to identify its vagueness.

• 대한인간공학회지
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• 제15권2호
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• pp.157-163
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• 1996

A single line display menu (SDM) is widely used for the user interface of many electronic consumer products, and the designers need useful guidelines applicable to the SDM. In many studies on menus, major focus has been placed on the optimal menu structure, but only a few standard menu structures, such as $64^{1},8^{2},4^{3}$,and $2^{6}$ are usually tested for optimality. In many cases, however, ill defined or asymmetric structures are suggested as design alternatives. To determine the optimal menu structure, user performance should be obtained in terms of quantitative measures. Hence, a model is needed to provide a predicted value of user performance for a given menu structure. Altough several models have been proposed for ordinary menus, none is available for the SDM yet. To solve this problem a performance model was developed in this study using the neural network approach. This model is capable of providing quantitative measures of human performance for any menu structures without conducting additional experiments, which will save much time and reduce the design cost.