• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.153-156
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• 2005

Skin region detection in images is an important process in many computer vision applications targeting humans such as hand gesture recognition and face identification. It usually starts at a pixel-level, and involves a pre-process of color spae transformation followed by a classification process. A color space transformation is assumed to increase separability between skin classes and other classes, to increase similarity among different skin tones, and to bring a robust performance under varying imaging conditions, without any complicated analysis. In this paper, we examine if the color space transformation actually brings those benefits to the problem of skin region detection on a set of human hand images with different postures, backgrounds, people, and illuminations. Our experimental results indicate that color space transfomation affects the skin detection performance. Although the performance depends on camera and surround conditions, normalized [R, G, B] color space may be a good choice in general.

• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.247-258
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• 2008

In today's business environment faced in very quick change, Human Resource Management play a key role in sustaining corporate competitive advantage and boosting organizational competency. Based on a former study, the purpose of this study is to find how individual Human Resource Management practice effects business performance and labor relations. Business performance is a positive influence on employee royalty and devotion. Also it is more influenced statistically significant impact on industrial relation of corporate. As a result of this study, we can find the significant influence from Human Resource Management practice and industrial relation.

• Educational Technology International
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• v.10 no.1
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• pp.107-135
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• 2009

The purpose of this paper is to review a variety of challenges facing the Human Performance Technology (HPT) in supporting knowledge workers' performance, and to explore possible HPT models for knowledge workers. The first section of this paper investigates the core attributes and major models of HPT as a foundation. While HPT has a lot of strengths in terms of systemic, systematic, methodologically eclectic, evidence based, and results oriented approaches, some pitfalls - which could be detected if these principles were mindlessly applied to problem areas - are explored. The second section presents some considerations such as analysis, intervention design, and leadership that HP technologists need to take in order to make HPT a better field of practice for knowledge workers. The author also suggests a tentative diagnostic model and a process model for knowledge workers, core principles of which are based on systems thinking, in particular Senge's the fifth discipline and Checkland's soft systems methodology. The importance of formative evaluations to improve these models is noted as a conclusion.

• ETRI Journal
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• v.46 no.1
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• pp.118-126
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• 2024

In human conversations, listeners often utilize brief backchannels such as "uh-huh" or "yeah." Timely backchannels are crucial to understanding and increasing trust among conversational partners. In human-machine conversation systems, users can engage in natural conversations when a conversational agent generates backchannels like a human listener. We propose a method that simultaneously predicts backchannels and recognizes speech in real time. We use a streaming transformer and adopt multitask learning for concurrent backchannel prediction and speech recognition. The experimental results demonstrate the superior performance of our method compared with previous works while maintaining a similar single-task speech recognition performance. Owing to the extremely imbalanced training data distribution, the single-task backchannel prediction model fails to predict any of the backchannel categories, and the proposed multitask approach substantially enhances the backchannel prediction performance. Notably, in the streaming prediction scenario, the performance of backchannel prediction improves by up to 18.7% compared with existing methods.

• 한국항공운항학회:학술대회논문집
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• 2015.11a
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• pp.198-211
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• 2015

Aviation industry, which is highly dependent on human resources, emphasizes airline's human resources management and performance check because quality of services provided to customers is closely related to airline's employees. Because roles of cabin crews take a significant portion of services provided to customers, airlines and cabin crews represent an inseparable relationship. Attitudes of cabin crews who plays the role of facing and dealing with customers directly in the process of providing flight related services are an essential factor that determines an image of an airline and actually have significant impact on the performance as well. By increasing performance satisfaction of cabin crews, organizational loyalty can be strengthened and such successful human resources management could have a positive effect on increasing customer satisfaction as well as revenues. From corporate's perspective, performance satisfaction of an employee is a crucial factor that decides the quality of service provided to customers that supports employee retention as well as client retention. This can eventually lead to organization loyalty that can positively affect overall work performance. Thus if corporates put efforts in and invests to improve and develop favorable attitudes and service quality within employees, performance satisfaction and organizational goals will be more effectively achieved.

• IE interfaces
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• v.17 no.spc
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• pp.37-45
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• 2004

Human factors engineering design guidelines for main control rooms(MCR) in nuclear power plants(NPP) have been applied to optimize human-machine interface(HMI) between operators and their equipment on the basis of physical, physiological and cognitive aspects. However, the HMI design for MCR is not found to be sufficient to maximize operators' performance since the operators in the MCR experience excessive stress due to the environmental factors such as inappropriate interiors and illumination. Therefore, well-designed environment of the MCR may be equally important to improve human performance in the MCR. The objectives of the study are two-fold: (1) to propose an interior design of SHIN-KORI 1 2 for pleasant and comfortable working environments, and (2) to design indirect lighting system to enhance visibility and productivity. The human factors engineering checklists were developed to examine whether or not the proposed human-environment design for SHIN-KORI 1 2 satisfies the regulations and guidelines presented by NUREG-0700 Revision 1. The implications of the human-environment design are discussed in detail.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.9
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• pp.957-963
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• 2014

This paper proposes a predictive control for an efficient human following robot using Kinect sensor. Especially, this research is focused on detecting of foot-end-point and foot-vector instead of human body which can be occluded easily by the obstacles. Recognition of the foot-end-point by the Kinect sensor is reliable since the two feet images can be utilized, which increases the detection possibility of the human motion. Depth image features and a decision tree have been utilized to estimate the foot end-point precisely. A tracking point average algorithm is also adopted in this research to estimate the location of foot accurately. Using the continuous locations of foot, the human motion trajectory is estimated to guide the mobile robot along a smooth path to the human. It is verified through the experiments that detecting foot-end-point is more reliable and efficient than detecting the human body. Finally, the tracking performance of the mobile robot is demonstrated with a human motion along an 'L' shape course.

• Safety and Health at Work
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• v.9 no.1
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• pp.42-52
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• 2018

Background: Maintenance operations on-board ships are highly demanding. Maintenance operations are intensive activities requiring high man-machine interactions in challenging and evolving conditions. The evolving conditions are weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress. For example, extreme weather condition affects seafarers' performance, increasing the chances of error, and, consequently, can cause injuries or fatalities to personnel. An effective human error probability model is required to better manage maintenance on-board ships. The developed model would assist in developing and maintaining effective risk management protocols. Thus, the objective of this study is to develop a human error probability model considering various internal and external factors affecting seafarers' performance. Methods: The human error probability model is developed using probability theory applied to Bayesian network. The model is tested using the data received through the developed questionnaire survey of >200 experienced seafarers with >5 years of experience. The model developed in this study is used to find out the reliability of human performance on particular maintenance activities. Results: The developed methodology is tested on the maintenance of marine engine's cooling water pump for engine department and anchor windlass for deck department. In the considered case studies, human error probabilities are estimated in various scenarios and the results are compared between the scenarios and the different seafarer categories. The results of the case studies for both departments are also compared. Conclusion: The developed model is effective in assessing human error probabilities. These probabilities would get dynamically updated as and when new information is available on changes in either internal (i.e., training, experience, and fatigue) or external (i.e., environmental and operational conditions such as weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress) factors.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.227-242
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• 2012

This study is to experientially verify that market orientation affect organizational performance toward social service marketization. social service marketization put pressure upon financial environment in nonprofit human service organizations and exacerbate competition between nonprofit human service organizations and profit organizations each other. For survival, nonprofit human service organizations in social service market where various supply organization participate needs sensitivity to the environment. For this purpose the need of introduction of market orientation is being raised. At this point this study is useful that measure the level of market orientation and analysis impact of market orientation toward organizational performance in nonprofit human service organizations. Data was collected from busan nonprofit human service organizations in participate voucher program, number of total organization is 92. The level of market orientation was 3.63. Analysis of the impact of market orientation to organizational performance used regression analysis through structural equation modelling. As a result of the analysis, market orientation was affected by organizational performance. Based on the results, this study suggests that nonprofit human service organizations should need market orientation centered organization management and sensitive response toward external environment.

• Korean Security Journal
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• no.61
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• pp.181-201
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• 2019

The purpose of this study was conducted to examine how human resource flexibility of security workers affects organizational performance and innovation behavior. A total of 350 copies of questionnaires were collected and collected in 340 copies of the security workers. A total of 335 questionnaires, except 5, which were unsatisfactory in the questionnaire or whose answers were missing, were analyzed for frequency, correlation, and multiple regression using the SPSS 19.0 program.The following conclusions were drawn. First, the flexibility of human resources of security workers has a positive effect on organizational performance. Second, human resource flexibility of security workers has a positive effect on innovation behavior. Third, the organizational performance of security workers has a positive effect on innovation behavior. In other words, both human resource flexibility and organizational performance are crucial factors for innovation behavior, and organizational performance plays an important role in innovation behavior. In conclusion, for the development of the security industry, it is necessary to manage human resource flexibility in order to develop and motivate innovation capability through education and continuous training of workers.