• Journal of Digital Convergence
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• v.10 no.11
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• pp.295-306
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• 2012

This study analyzed empirically difference of purchase intention about price raising of luxury brand according to consumer characteristics such as consumption value, prior knowledge. and perceived risk. Fist, groups according to consumption value showed obvious differences. Group of pursuing uniqueness and ostentation value and group of pursuing quality and pleasure value showed positive purchase intention but group of pursuing social recognition value showed negative purchase intention. Second, groups according to perceived risk. didn't show difference and groups according to prior knowledge showed obvious difference. group of high prior knowledge showed positive purchase intention but group of low prior knowledge showed negative purchase intention. Third, analyzed result about interaction effect of consumer characteristics, Classified group of pursuing uniqueness and ostentation value, expressing high prior knowledge and Classified group of pursuing quality and pleasure value, expressing high perceived risk only showed positive purchase intention, The results of this study present implication to domestic companies aiming luxury brand that performing differently strategy of product and price according to target characteristics is more effective way in differentiating oneself from existing luxury brands and expanding market.

• Quality Improvement in Health Care
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• v.9 no.2
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• pp.198-208
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• 2002

Background : This research, as a part of improving management process of college hospital in this rapidly changing circumstances, is searching for the actual state of private clinics referring patients to referral center including college hospitals. Methods : This research examined the sense of satisfaction and requesting degree in using referral center and by analyzing the correlation and differences among factors such as primary factors regarded as selecting ones in referring patients to a referral center in college hospital and expecting factors expected to be supported to patients and cooperative hospitals. Results : The main researched results are as follows. First, as for the primary factors, the differences between cooperative and uncooperative hospitals revealed the fact that choosing target hospital in accordance with cooperative relation and convenient process in referring patients are important. Second, satisfaction rates, analyzed from the paired t-test revealed kindness and convenience as the top priorities, while sending patients back again and benefit of supporting such as the use of facilities were revealed as the least satisfactory aspects, despite the fact that they should be fulfilled through actual service. Conclusion : The recognition of the practitioner is examined and analyzed in this research by examining primary factors in selecting college hospitals, expecting factors expected to be supported to patients and satisfaction degree, which are expected to be used as basic materials for the development of referral center of college hospitals.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.191-198
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• 2020

In this study, in order to propose an improvement plan for fire simulation training to improve fire response capability, fire simulation training is conducted for three business facilities, and changes according to whether training materials are used and whether the response time for each response stage is reflected in the training evaluation. The response posture and response ability of the training participants were observed and analyzed. As a result of the analysis, it was analyzed that most of the training participants improved their participation in training, response posture, and response ability when the use of training textbooks and response time for each response stage were reflected in the training evaluation. In the event of a fire simulation training, a number of training materials that can similarly implement the fire situation are used to improve and maintain the fire response capabilities (fire notification and fire report, initial extinguishing, and evacuation) of the training participants, and the target time for each response step. The result was that it can be used as a useful index for improving fire response capability and improving fire simulation training in the future and feedback only when quantitative training evaluation is conducted based on this setting.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.3
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• pp.11-21
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• 2010

To aim at improving performance and reflecting user's needs of retrieval, the number of researches has been actively conducted in recent year as the quantity of information and generation of the web pages exceedingly increase. One of alternative approaches can be a tagging system. It makes users be able to provide a representation of metadata including writings, pictures, and movies etc. called tag and be convenient in use of retrieval of internet resources. Tags similar to keywords play a critical role in maintaining target pages. However, they still needs time consuming labors to annotate tags, which sometimes are found to be a hinderance caused by overuse of tagging. In this paper, we present an automatic tagging scheme for a solution of current tagging system conveying drawbacks and inconveniences. To realize the approach, face recognition-based tagging system on SNS is proposed by building a face area detection procedure, linear-based classification and boosting algorithm. The proposed novel approach of tagging service can increase possibilities that utilized SNS more efficiently. Experimental results and performance analysis are shown as well.

• Korean Journal of Social Welfare
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• v.52
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• pp.89-115
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• 2003

While many social work studies has focused on the development of practice intervention and demonstration of the efficacy, little attention has been given to the way how the results can be disseminated and utilized in practice area. But attempts to bridge the research-practice gap empathize importance of dissemination and utilization including knowledge utilization, innovation diffusion, information dissemination, program replication, and technology transfer etc. In this recognition, this study that focused on the process after development of program tried to search and analyze the real disseminating process and utilization state with applying Growing-up Skills Program(GUSP) developed and disseminated by this researcher. For the purpose, theories and models for program diffusion were reviewed, and dissemination & utilization of GUSP was analyzed on the 'Herie & Martin's model' with retrospective perspectives. Through this tracer study, these were confirmed or founded as problems of GUSP in disseminating process : lack of specific strategy for the dissemination ; unplanned coping due to little preparation ; and unclear and insufficient understanding of the target system in the beginning stage of dissemination. And followings are suggested for the improvement of social work program dissemination & utilization in the field: to conduct diffusion process on the basis of a proper model; to consider integrative relationship between D&D and dissemination & utilization ; to endeavor for collecting feed back from the field ; and to reinforce social work education and study related to innovation diffusion. These results showed importance of dissemination & utilization in social work and utility of GUSP despite of several limitations. More concerns of dissemination & utilization are needed for the integration of research and practice in Korean social work.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.215-223
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• 2017

This research conducted a survey targeting 238 dental employees in Daegu Gyeongbuk region in order to improve awareness on danger risk of dental materials henceforth by analyzing the awareness on material safety health data (MSDSs) and working environment characteristics that influence thereon. Accordingly, the average score of importance per item based on material safety health data(MSDSs) appeared $3.98{\pm}0.59$, and the highest item appeared 'danger risk', and the average score of necessity in improvement appeared $4.34{\pm}0.57$. Average score of necessity in improvement appeared higher as the career increased, and difference in importance per item showed higher score in the target who worked in the dentist (p<0.01). This research expects that the employees of dentist hospital secure safety on chemical substances of dental materials and pay more attention on chemical substance material of dental material and the material safety health data (MSDSs) that explains this, in order to improve quality of working environment, also, the researcher wishes that concrete policy and institution would be prepared for the safety of dentist hospital employees' working environment safety.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.355-378
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• 2015

In recent years, countries such as USA, United Kingdom and Australia have begun to implement national policies in order to systematically manage and share research data produced through publicly funded research. However, Korea as of yet does not have a coordinated research data policy. The lack of infrastructure that supports the sharing and preserving research data results in the poor management and loss of valuable data produced from significant national R&D investments. The need for research data collection, management and sharing goes beyond the outcome assessment of national research: it facilitates the diffusion of research impact and economic development. There is a growing recognition that data sharing is an essential element of research ethics. This research investigates the relevant research data policies and methods of governance at the national level using a case study analysis. United Kingdom was selected as a case study target as it shows a wide variety of policy examples and instruments. In particular, this research focuses on the UK's national legal framework for research data sharing, analyzes the RCUK (Research Councils UK)'s data policies, activities at the seven research councils under RCUK as well as several supporting institutions. Based on the analyses, this research offers a national roadmap for better managing and sharing of research data in Korea.

• 재활복지
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• v.20 no.3
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• pp.17-43
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• 2016

This study is on understanding the reality of disabled seniors and investigation of factors that affect overall life satisfaction, making a proposal to improve their life quality. Situation data for the disabled, gathered by Korea Institute for Health and Social Affairs (KIHASA) in 2014, was used to perform the study, and the target group is 3,181 people with disability, above the age of 65. Descriptive statistics was presented for data analysis and logistic regression analysis was performed to investigate factors that affect life satisfaction. It was concluded from the analysis that gender, age, presence of spouse (demographic factors), house income, possession of house, presence of pensioner, registration to public pension plan, social discrimination (social-economical factors), level of disability, subjective health status, level of help needed for daily living, presence of care-giver, sufficiency of help, ability to go out by oneself, difficulty of using public transportations, and presence of medical checkups (disability and health factors.) make meaningful effects to life satisfaction of disabled seniors. Based on the derived results, this study suggests intensive interests and care-giving service for disabled seniors that live alone, institutional complementations to guarantee income security, including public or private pensions, improvements to social recognition and environments for discrimination of the disabled, organization of health and medical treatment service and health care system, comprehensive service provision to social welfare for both the disabled and seniors, and comprehensive service provision to both health care and social welfare.

• Journal of IKEEE
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• v.22 no.4
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• pp.1062-1067
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• 2018

In this study, the research processed with a chemical sensor for measuring trace amount of heavy metal ions which is based on the requirements of the efficient sensing technology as recent equipment is applies molecular system in the chemical sensing section that can precisely recognizing selective target substance and transmit its data to physical signal as a result. In this research is concentrated on realize highly precise by utilizing SPR sensor application of recognition functional sensing membrane. Consequently, according to DTSQ-dye sensing membrane, the resonance angle from low-concentration to the highest concentration $10^{-4}M$ of $Ag^+$ ion is $2.17[^{\circ}]$ and this result indicating 4.3 times larger resonance angle changes compare to the other metal substance. Based on SQ-dye sensing membrane, the difference of resonance angle between low concentration and the highest concentration $10^{-4}M$ of $Cu^{2+}$ ion is $2.3[^{\circ}]$ and this outcome is indicating 4.5 times greater resonance angle change to the other metal substance.

• Smart Media Journal
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• v.8 no.2
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• pp.58-65
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• 2019

Automatic text summarization is a process of shortening a text document by either extraction or abstraction. The abstraction approach inspired by deep learning methods scaling to a large amount of document is applied in recent work. Abstractive text summarization involves utilizing pre-generated word embedding information. Low-frequent but salient words such as terminologies are seldom included to dictionaries, that are so called, out-of-vocabulary(OOV) problems. OOV deteriorates the performance of Encoder-Decoder model in neural network. In order to address OOV words in abstractive text summarization, we propose a copy mechanism to facilitate copying new words in the target document and generating summary sentences. Different from the previous studies, the proposed approach combines accurate pointing information and selective copy mechanism based on bidirectional RNN and bidirectional LSTM. In addition, neural network gate model to estimate the generation probability and the loss function to optimize the entire abstraction model has been applied. The dataset has been constructed from the collection of abstractions and titles of journal articles. Experimental results demonstrate that both ROUGE-1 (based on word recall) and ROUGE-L (employed longest common subsequence) of the proposed Encoding-Decoding model have been improved to 47.01 and 29.55, respectively.