• Journal of Distribution Science
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• v.12 no.7
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• pp.89-101
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• 2014

Purpose - This study aims to show that consignments can enable supply chain collaboration, based on the review of selected studies, and aims to investigate its potential to be a better collaboration program, through an analytical comparison with other collaboration initiatives. Research design, data, and methodology - This study uses a literature review on selected studies that researched consignments. In addition, based on the proposed framework, the current consignment process and other well-known collaboration programs are analyzed in terms of three key collaboration aspects. Results - Most studies employ simple research in terms of their purpose and methodology. An analysis with the proposed framework indicates the potential of consignments to foster supply chain collaboration. Conclusions - Based on the literature review, this study suggests that future research needs to aim for diverse research goals and conduct sophisticated research on consignments. An analysis with the proposed framework shows that consignments would be more effective for supply chain collaboration if active information sharing and joint decision-making are implemented.

• Korean Journal of Radiology
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• v.21 no.10
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• pp.1126-1137
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• 2020

Imaging plays a key role in the management of brain tumors, including the diagnosis, prognosis, and treatment response assessment. Radiomics and deep learning approaches, along with various advanced physiologic imaging parameters, hold great potential for aiding radiological assessments in neuro-oncology. The ongoing development of new technology needs to be validated in clinical trials and incorporated into the clinical workflow. However, none of the potential neuro-oncological applications for radiomics and deep learning has yet been realized in clinical practice. In this review, we summarize the current applications of radiomics and deep learning in neuro-oncology and discuss challenges in relation to evidence-based medicine and reporting guidelines, as well as potential applications in clinical workflows and routine clinical practice.

• Journal of Environmental Health Sciences
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• v.36 no.4
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• pp.255-263
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• 2010

In many fields, nanotechnology is leading to the development of purposely-engineered nanoparticles and devices demonstrating new, unique and non-scalable properties. However, concern has been expressed that these same properties may present unique challenges in terms of the potential health impact. Airborne particles associated with engineered nanoparticles are of particular concern, as they can readily enter the body through inhalation. Research into the potential occupational health risks associated with inhaling engineered nanoparticles is actively being conducted in the U.S. and globally. In this article, the potential occupational health effects of inhaled nanoparticles and methods for measuring exposure to nanoparticles are discussed. Critical research needs in this field are also briefly addressed.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.8-13
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• 2006

In this paper, we try to find success factor to satisfy Female Customer of a Family Restaurant We survey Female Customers Requirement and make a Questionnaire based on Female Customer by interview and internet Homepage. We find Potential customer satisfying factor by using Kano Analysis and Timko's CS coefficient and Potential Customer Satisfactionv improvement Index(PCSI) which is suggested by Leem represents how much a service feature can increase the degree of customer satisfaction when the service feature is fully fulfilled. We also discuss how to use this result, we hope our result to apply customer satisfying many fields not only Family Restaurant.

• IE interfaces
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• v.1 no.1
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• pp.85-99
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• 1988

High Touch product is characterized by shorter life cycle together with specification/integration of existing function in order to capitalize the rapidly emerging high technology. R & D strategy for a development of High Touch product generally emphasizes two aspects ; Industrial Design (ID) and Ergonomic Design (ED). However, working knowledge on ED of a systematic identification of potential High Touch products is not readily available. The purpose of this study was three-folded : (1) To emphasize the fact that greater efforts should be geared to ED in High Touch design ; (2) To develop an ergonomic approach based on analysis of implicit human needs that identifies potential area of High Touch ; (3) To bubble with new and probable High Touch products in home electronics that actually demonstrate the validity of this study.

• Korean Institute of Interior Design Journal
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• v.21 no.4
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• pp.77-86
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• 2012

The 5-day schoolweek system at the present has increased spare time of the youth. The society should use this opportunity to lead the youth to grow as a responsible community member as offering them programs to fulfill their desires and potential abilities. The purpose of this study is to have the improvements to give the youth appropriate and comfortable space. As the scope of the study, I selected a total of 5 places as each rating (the best, good, moderate, insufficient) 4 places in the comprehensive assessment conducted by youth facilities association among the independent buildings located in Seoul and 1 place after the assessment. As the methods of the study, with regard to environmental psychology and behavior and Youth cultural center, I investigated them theoretically as literature survey method, organized and analyzed, put them together through facilities research analysis and the survey. The research results are as follows : First, a static individual space should be placed in well accessibility due to high affinity for the facilities. Second, a dynamic individual space needs the place and equipment for physically and mentally healthy leisure culture. Third, a dynamic group space needs to provide ensuring service hours, setting proper size of space, comfortable indoor environment considering the relationship between physical activity and others. Fourth, a static group space needs to vary the programs to develop potential abilities by a variety of experiences to maintain the correlation the layout adjacent to leader's office.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.283-290
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• 2020

The purpose of this study was to investigate the potential causal relationship between unmet healthcare needs and metrics related to quality of life. To examine the relationships between these variables, the study conducted an analysis by processing additional irradiated raw materials of the Korean Medical Panel. The metrics related to quality of life included six variables: athletic ability, self-care, daily activities, pain/trouble, uneasiness/depression, and subjective health conditions. Linear regression analysis revealed that the unmet healthcare needs had statistically significant negative effects on all six quality of life variables. A review of the magnitude of the linear regression β values for those variables showed that the relative level of influence on the quality of life variables decreased in the following order: pain/trouble, subjective health conditions, uneasiness/depression, daily activities, athletic ability, and self-care. Based on the results, practical applications related to strengthening working-level links between health and welfare is considered an effective policy response to the continued presence of unmet healthcare needs; such applications could contribute to improving the quality of life of those with unmet healthcare needs.

• Journal of Preventive Medicine and Public Health
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• v.53 no.5
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• pp.353-361
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• 2020

Objectives: An inadequate understanding of infertility can affect individuals' self-efficacy and ability to perform self-care; thus, reproductive health education is an important part of infertility treatment. The present qualitative study aimed to explore the experiences and educational needs of infertile women with regard to reproductive health. Methods: In this qualitative study, we utilized a content analysis approach. Purposive sampling was performed to ensure maximum diversity. In total, 23 individual interviews were conducted with 20 Iranian women with infertility and 3 key informants between July 2018 and February 2019 in northern Iran. Data were collected through in-depth, semi-structured interviews. Data analysis was performed using a conventional content analysis approach. Results: Reproductive health education needs were identified by analyzing interview data from 4 main categories: familiarity with the fertility process and preparation for pregnancy, recognition of infertility and expectations around seeking treatment, recognition of preventive actions associated with reproductive health, and correction of false beliefs. Recognizing the causes of infertility and understanding the different approaches to infertility treatment are among the most important educational needs of infertile women. The potential for neglect of health-related issues due to concerns about fertility and the maternal experience necessitates education about preventive measures for cervical cancer, breast cancer, and sexually transmitted infections. Correcting misconceptions, including those related to contraceptives and traditional medicine, can also help promote reproductive health. Conclusions: In infertile women, the educational needs associated with reproductive health are multifaceted. Satisfying these needs can help achieve optimal treatment results and promote reproductive health.

• Journal of the Ergonomics Society of Korea
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• v.34 no.6
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• pp.563-581
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• 2015

Objective: This study was conducted to investigate the potential of sematic network analysis for design research. Background: As HCD (Human-Centered Design) was emphasized, lots of design research methodologies were developed and used in order to find user needs. However, it is still difficult to discover users' latent needs. This study suggests the semantic network analysis as a complementary means for design research, and proved its potential through the practical application, which compares multi-screen purchase and usage behaviors between America and China. Method: We conducted an in-depth interview with 32 consumers from USA and China, and analyzed interview texts through semantic network analysis. Cross cultural differences in purchase and usage behaviors were investigated, based on measuring centrality and community modularity of devices, functions, key buying factors and brands. Results: Americans use more services and functions in the multi-screen environment, compared to Chinese. As a device substitutes other devices, traditional boundaries of the devices are disappearing in the USA. Americans consider function to recall Apple, but Chinese consider function, design and brand to recall Apple, Sony and Samsung as an important brand at the time of their purchase. Conclusion: This study shows the potential of semantic network analysis for design research through the practical application. Semantic network analysis presents how the concepts regarding a theme are structured in the cognitive map of users with visual images and quantitative data. Therefore, it can complement the qualitative analysis of the existing design research. Application: As the design environment becomes more and more complicated like multi-screen environment, semantic network analysis, which is able to provide design insights in the intuitive and holistic perspective, will be acknowledged as an effective tool for further design research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.3606-3629
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• 2018

The discovered high potential utility itemsets (HPUIs) have significant influence on a variety of areas, such as retail marketing, web click analysis, and biological gene analysis. Thus, in this paper, we propose an algorithm called HPUIM-QGA (Mining high potential utility itemsets based on a quantum genetic algorithm) to mine HPUIs over uncertain datasets based on a quantum genetic algorithm (QGA). The proposed algorithm not only can handle the problem of the non-downward closure property by developing an upper bound of the potential utility (UBPU) (which prunes the unpromising itemsets in the early stage) but can also handle the problem of combinatorial explosion by introducing a QGA, which finds optimal solutions quickly and needs to set only very few parameters. Furthermore, a pruning strategy has been designed to avoid the meaningless and redundant itemsets that are generated in the evolution process of the QGA. As proof of the HPUIM-QGA, a substantial number of experiments are performed on the runtime, memory usage, analysis of the discovered itemsets and the convergence on real-life and synthetic datasets. The results show that our proposed algorithm is reasonable and acceptable for mining meaningful HPUIs from uncertain datasets.