• 대한인간공학회지
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• 제29권4호
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• pp.647-654
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• 2010

In a service environment, the spatial layout is an important factor that has a great impact on customers' behavioral characteristics including wayfinding and purchasing. Previous studies have shown a gap between marketing, focusing solely on profitability and satisfaction, and architecture, looking only into efficiency of pedestrian flow. To balance such disparity, this study suggests an integrated approach for assessing behavioral patterns in complex service environments. With the objective that complex service environments should aim to increase its profitability and efficiency while guaranteeing customer satisfaction, quantitative metrics was developed for evaluation. The metrics was defined to use data from behavior observation including path tracking, population counting, and gaze analysis, while previous studies have relied on abstract survey methods that were prone to sampling errors and loss of data. For validation of the metrics in a real world setting, a case study was conducted at 4 train stations in Korea. In the case study, experiments were conducted to gather the required data in all 4 train stations, while their physical layouts were also analyzed. With the results from the case study, comparative evaluation of the 4 train stations in terms of behavioral efficiency was possible, together with a discussion on the effect of their physical settings.

• Journal of Communications and Networks
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• 제16권5호
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• pp.523-533
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• 2014

Orthogonal frequency division multiple access (OFDMA) is a promising technique, which can provide high downlink capacity for the future wireless systems. The total capacity of OFDMA can be maximized by adaptively assigning subchannels to the user with the best gain for that subchannel, with power subsequently distributed by water-filling. In this paper, we propose the use of composite differential evolution (CoDE) algorithm to allocate the subchannels. The CoDE algorithm is population-based where a set of potential solutions evolves to approach a near-optimal solution for the problem under study. CoDE uses three trial vector generation strategies and three control parameter settings. It randomly combines them to generate trial vectors. In CoDE, three trial vectors are generated for each target vector unlike other differential evolution (DE) techniques where only a single trial vector is generated. Then the best one enters the next generation if it is better than its target vector. It is shown that the proposed method obtains higher sum capacities as compared to that obtained by previous works, with comparable computational complexity.

• Industrial Engineering and Management Systems
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• 제9권2호
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• pp.97-106
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• 2010

Can eBay.com's fee structure coordinate the channel? It's a critical strategic problem in e-commerce operations and an interesting research hypothesis as well. eBay's fees include three parts: monthly subscription fee, insertion fee, and final value fee (i.e., a revenue sharing portion), which represent a generic form of revenue sharing fee structure between the retailer and the vendor in a supply chain. This research deals with such a channel consisting of a price-setting vendor who sells products through eBay's marketplace exclusively to the end customers. The up- and down-stream channel relationship is consignment-based revenue sharing. We use a game-theoretic approach with assumption of the retailer (i.e., eBay.com) being a Stackelberg-leader and the vendor being a follower. The Stackelberg-leader decides on the terms of revenue sharing contract (i.e., fee structure), and the follower (vendor) decides on how many units to sell and the items' selling price. This study formulates several profit-maximization models by considering the effects of the retail price on the demand function. Under such settings, we show that eBay's fee structure can improve the channel efficiency; yet it cannot coordinate the channel optimally.

• Safety and Health at Work
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• 제12권1호
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• pp.1-9
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• 2021

This review article addresses the role of safety professionals in the diffusion strategies for predictive analytics for safety performance. The article explores the models, definitions, roles, and relationships of safety professionals in knowledge application, access, management, and leadership in safety analytics. The article addresses challenges safety professionals face when integrating safety analytics in organizational settings in four operations areas: application, technology, management, and strategy. A review of existing conventional safety data sources (safety data, internal data, external data, and context data) is briefly summarized as a baseline. For each of these data sources, the article points out how emerging analytic data sources (such as Industry 4.0 and the Internet of Things) broaden and challenge the scope of work and operational roles throughout an organization. In doing so, the article defines four perspectives on the integration of predictive analytics into organizational safety practice: the programmatic perspective, the technological perspective, the sociocultural perspective, and knowledge-organization perspective. The article posits a four-level, organizational knowledge-skills-abilities matrix for analytics integration, indicating key organizational capacities needed for each area. The work shows the benefits of organizational alignment, clear stakeholder categorization, and the ability to predict future safety performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권11호
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• pp.3619-3637
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• 2022

Big data analytics offers endless opportunities for operational enhancement by extracting valuable insights from complex voluminous data. Hadoop is a comprehensive technological suite which offers solutions for the large scale storage and computing needs of Big data. The performance of Hadoop is closely tied with its configuration settings which depends on the cluster capacity and the application profile. Since Hadoop has over 190 configuration parameters, tuning them to gain optimal application performance is a daunting challenge. Our approach is to extract a subset of impactful parameters from which the performance enhancing sub-optimal configuration is then narrowed down. This paper presents a statistical model to analyze the significance of the effect of Hadoop parameters on a variety of performance metrics. Our model decomposes the total observed performance variation and ascribes them to the main parameters, their interaction effects and noise factors. The method clearly segregates impactful parameters from the rest. The configuration setting determined by our methodology has reduced the Job completion time by 22%, resource utilization in terms of memory and CPU by 15% and 12% respectively, the number of killed Maps by 50% and Disk spillage by 23%. The proposed technique can be leveraged to ease the configuration tuning task of any Hadoop cluster despite the differences in the underlying infrastructure and the application running on it.

• 한국산업보건학회지
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• 제33권4호
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• pp.412-418
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• 2023

As advances in artificial intelligence (AI) increasingly approach areas once relegated to the realm of science fiction, there is growing public interest in using these technologies for practical everyday tasks in both the home and the workplace. This paper explores the applications of and implications for of using ChatGPT, a conversational AI model based on GPT-3.5 and GPT-4.0, in the field of occupational health and safety. After gaining over one million users within five days of its launch, ChatGPT has shown promise in addressing issues ranging from emergency response to chemical exposure to recommending personal protective equipment. However, despite its potential usefulness, the integration of AI into scientific work and professional settings raises several concerns. These concerns include the ethical dimensions of recognizing AI as a co-author in academic publications, the limitations and biases inherent in the data used to train these models, legal responsibilities in professional contexts, and potential shifts in employment following technological advances. This paper aims to provide a comprehensive overview of these issues and to contribute to the ongoing dialogue on the responsible use of AI in occupational health and safety.

• 컴퓨터교육학회논문지
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• 제7권5호
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• pp.9-21
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• 2004

인터넷이라는 새로운 IT기술을 교육현장에서 적극적으로 활용해야 한다는 강한 요구에도 불구하고 웹기반 교육의 정착은 미흡한 실정이다. 그 원인은 현재 웹기반 교육이 전통적 교실수업과 질적으로 다르지 않고 웹기반 교육에 적합한 설계모형들이 충분히 개발되지 않았기 때문이다. 본 연구자들은 구성주의 학습관에 기반한 GBS 설계모형을 이용하여 도서관 이용에 관한 웹기반 교육용 컨텐츠를 개발함으로써 웹기반 교육을 개발하거나 활용하고자 하는 교사와 교육실천가들에게 구체적인 개발사례를 제공하고자 한다. 3개월 간 요구분석, 학습내용분석, 학습자 및 학습환경분석을 통해서 GBS모형을 적용한 웹기반 교육용 컨텐츠를 설계하고 GBS의 7가지 구성요소들에 충실하게 개발하였다. 본 연구의 결과들은 학교와 기업에서 새로운 형태의 웹기반 교육을 개발하고자 하는 실천가들에게 구체적인 가이드를 제공해줄 것이다.

• Educational Technology International
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• 제7권2호
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• pp.93-106
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• 2006

The knowledge-based society increasingly demands professionals possessing essential knowledge, and the ability to use this knowledge effectively in their work settings. In response to the requirement for these professionals, PBL is a promising educational method. This paper suggests an educational development program for faculty to implement problem-based learning(PBL). To implement PBL at the higher educational level, there is a need for a systemic approach. First, a well-designed educational plan for PBL is necessary. Before implementing PBL, both the instructor and the students should be prepared. Faculty members should be well informed on the characteristics of PBL, effective tutoring or facilitation skills, and how to design problems reflecting features of their own academic subject areas. Students also have to know the characteristics of PBL. Both of these groups need to be trained through workshops rather than through lectures. Second, a phase of design and implementation of PBL is necessary. PBL methods may seem to be intuitive and even unstructured because a problem is, in nature, unstructured and authentic. However, a closer look at PBL reveals that it is complex, carefully designed, and highly structured activity. Therefore, if it is poorly and incompletely designed, PBL can be a frustrating and exhausting experience for students and faculty members. Well-designed PBL can be an exhilarating and rewarding experience for both of them. Third, a phase of sharing PBL experiences is important: faculty members who have implemented PBL are required to share their experiences to help others enhance tutoring skills, and acquire practical information of students, contents, and what happened during PBL, and to develop PBL model in a specific domain. Based on the developed PBL model in a specific domain, PBL can be expanded and stabilized at the university level.

• Asian Pacific Journal of Cancer Prevention
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• 제13권2호
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• pp.527-532
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• 2012

Background: Tobacco control and cessation interventions are among the most cost effective medical interventions but health systems in low resource countries lack the infrastructure to promote prevention and cessation among tobacco users. Workplace settings have the potential to provide opportunities and access for tobacco prevention interventions. Methods: This is a single group study evaluating tobacco use prevention and cessation through a structured three stage intervention program for tobacco users comprising education on harmful effects of tobacco, oral cancer screening and behavior therapy for tobacco cessation at the worksite. Results: All the 739 workers who were invited participated in tobacco awareness program and were screened for oral pre cancer lesions. 291 (39.4%) workers were found to be users of tobacco in some form. Education, gender and alcohol use (p<0.0001) were some of the factors associated with tobacco user status. The prevalence of clinical oral precancer lesions among tobacco users was 21.6%. Alcohol consumption (p<0.001), the type of tobacco consumed (p<0.018), personal medical history of chronic diseases (p<0.007) and combined use of alcohol and tobacco (p<0.001) were some factors found to be associated with presence of oral pre cancer lesions. Conclusion: An integrated approach for worksite based tobacco use prevention with oral cancer screening program showed good acceptance and participation and was effective in addressing the problem of tobacco consumption among the factory workers.

• 동의생리병리학회지
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• 제24권5호
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• pp.758-769
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• 2010

This is a preliminary study for examining the identity issue of the current Traditional Korean Medicine(TKM). In order to examine the identity issue, it is necessary to understand "what" current TKM is. The current TKM has been formed in the complicated historical settings and the newly formed academic geography of modern times, completely different from those of the traditional era. This paper took diachronic and synchronic approaches in order to understand the current TKM. In the process of modernization and scientization of the TKM-which had begun in the early twentieth century-the western medical knowledge merged into the TKM. Also, as the College education of the TKM began after the Liberation from the Japanese colonial rule, the TKM scholars accepted the western medical department system to develop the TKM into professional knowledge. Meanwhile, since the late 1970s, the TKM has been influenced by the modern Traditional Chinese Medicine (TCM), and the TCM knowledge also merged into the TKM. And recently, the research methodology of the complementary and alternative medicine (CAM), and the clinical research technique of the western medicine-like Evidence based Medicine (EBM)-are affecting the scientization and clinical study of the TKM. The current TKM has been formed as a result of the hybridization of these different knowledges. These changes in the TKM were inevitable for the survival of it in the fast changing world. But these changes brought with them problems. Among those, the identity issue is the most important and crucial.