• Journal of Korea Multimedia Society
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• v.24 no.1
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• pp.40-50
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• 2021

Science museum are dealing with exhibits on field of changing science and technology, and previous research suggested that exhibits replacement should carried out at least every 5 years. In order to efficiently replace exhibits within a limited budget, various studies analyzed visitors' preferences to exhibits. Recently, studies use various technologies to collect the data on visitors' preferences automatically, but almost of studies had a high dependency on their visitors such as visitors needed to carry specific sub-devices in the museums for gathering data. As complementing the limitations of previous research, this study introduces the improved method which is able to automatically collect and quantify visitors' preferences to exhibits using TensorFlow, a deep learning technology. By the proposed analysis method, it was possible to collect 2,520 data of visitors' experience on exhibits in totality. Based on collected data, attraction power and holding power indicating the preference of visitors on exhibits were able to be calculated. The result also confirmed antecedent research conclusion that the attraction power and holding power of the exhibit which consists of 3 dimensional structures work are higher than other exhibits. As a conclusion, the proposed method will provide more convenient data collection method for detecting visitors' preference.

• Journal of the Korean Society of Safety
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• v.38 no.5
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• pp.43-50
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• 2023

With the advent of industrialization, consumers and end-users demand more reliable products. Meeting these demands requires a comprehensive approach, involving tasks such as market information collection, planning, reliable raw material procurement, accurate reliability design, and prediction, including various reliability tests. Moreover, this encompasses aspects like reliability management during manufacturing, operational maintenance, and systematic failure information collection, interpretation, and feedback. Improving product reliability requires prioritizing it from the initial development stage. Failure mode and effect analysis (FMEA) is a widely used method to increase product reliability. In this study, we reanalyzed using the FMEA method and proposed an improved method. Domestic railways lack an accurate measurement method or system for maintenance, so maintenance decisions rely on the opinions of experienced personnel, based on their experience with past faults. However, the current selection method is flawed as it relies on human experience and memory capacity, which are limited and ineffective. Therefore, in this study, we further specify qualitative contents to systematically accumulate failure modes based on the Failure Modes Table and create a standardized form based on the Master FMEA form to newly systematize it.

• Journal of Fashion Business
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• v.23 no.5
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• pp.1-18
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• 2019

The purpose of this study is to analyze the Muslim fashion that has recently appeared in the global fashion collection to see how the global fashion brand expresses Muslim's traditional costumes so as to provide references in design development to prepare for the larger Muslim fashion market in the future. In order to analyze Muslim fashion, keywords related to Muslims such as "Muslim," "Islamic fashion" and "hijab" were searched on Google, Samsung Design Net and Vogue websites, and a total of 370 fashion photos were selected for the final data, which was judged to reflect Muslim fashion styles after a review by four clothing experts. Muslim fashion styles have the following characteristics: Above all, the use of veils was most noticeable, with many T-shaped loose long tunic dresses. The hijab, which had the highest proportion of veils, was used to produce various images with wide range of materials and colors. Achromatic colors were the most common, but more than three colors were used to create an exotic image. There have also been cases of using direct religious images such as arabesque patterns and mosques and Muslim priests. As a final, Muslim fashion styles were studied follow: first, a unique style using a veil. Second, conservative style with minimal exposure, third, restrained long-and-lose fit style, fourth, exotic style by elaborate pattern. The domestic fashion industry is also expected to generate economic demand if it is designed with reference to such collection trends along with market research on Muslim consumers.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.95-101
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• 2023

Globally, the importance of utilization and management of marine spatial information is being maximized, and analyzing such data is emerging as a major driving force for R&D. In Korea, it is expected that collecting marine data from the past to the present and extracting its value will play an important role in the development of science in Korea in the future. In particular, marine static data constitutes a huge big database, and it is necessary to store and store the collected data without loss as high data collection costs and high-level observation techniques are required. In addition, the Disaster Safety Intelligence Convergence Center's "Marine Digital Twin Establishment and Utilization-Based Technology Research" task requires collection and analysis of marine data, so this paper conducts a current status survey of static marine data. And we present a series of algorithms that collect and store them in a database.

• Journal of Energy Engineering
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• v.6 no.1
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• pp.1-10
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• 1997

에너지 절약과 환경오염 감소가 절실히 요청되는 것과 관련하여 최근에 석탄 신에너지 기술개발이 활발히 진행되고 있으며, 고압유동층연소 복합발전(PFBC)은 상용화에 근접하여 개발되고 있다. 석탄의 고압 유동층연소는 기존의 PC보일러보다는 저온 연소로써 NO$_{x}$의 발생이 억제되며 탈황제를 동시에 주입하여 SO$_{x}$ 발생을 줄일 수 있는 것이 큰 잇점이다.

• Journal of Korean Library and Information Science Society
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• v.30 no.3
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• pp.385-404
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• 1999

Librarians, who work for University libraries in Korea experience a lot of confusion and difficulties because of rapidly-changing technological conditions and under-developed understanding of the University Libraries' full potential on the part of the users. I present the concept of 'Subject Services' as an approach which librarians could use to overcome these difficulties in their own way. The 'Subject Services' refers to the 'subjectized' collection development and reference services, which can more specifically address the users' needs. To make this idea more concrete, I selected Pusan National University Library as the case of my qualitative research. And I made use of various research techniques such as 'participant observation' and 'ethnographic interview'. After looking into the case library in depth, I found that the concept of 'Subject Specialist'. a person who has double master's degrees including that of library and information science, is more suitable to the University Libraries in Korea at the present developmental stage. At the end of this article, propose that the development of Core Collections, the improvement of subject-oriented reference services and the continuing education of librarians should be emphasized.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.2
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• pp.83-88
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• 2015

Core-A is 32-bit synthesizable processor core with a unique instruction set architecture (ISA). In this paper, the Core-A ISA is introduced with discussion of useful features and the development environment, including the software tool chain and hardware on-chip debugger. Core-A is described using Verilog-HDL and can be customized for a given application and synthesized for an application-specific integrated circuit or field-programmable gate array target. Also, the GNU Compiler Collection has been ported to support Core-A, and various predesigned platforms are well equipped with the established design flow to speed up the hardware/software co-design for a Core-A-based system.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.3
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• pp.115-140
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• 2024

With the advent of the Fourth Industrial Revolution and the era of big data, the ability to handle data has become essential. This has heightened the importance and necessity of data literacy competencies. The purpose of this study is to propose a framework for data literacy competencies. To achieve this goal, data literacy frameworks from eight countries and twelve pieces of literature on data literacy competencies were analyzed and synthesized, resulting in five categories and twenty-three competencies. The five categories are: data understanding and ethics, data collection and management, data analysis and evaluation, data utilization, and data governance and systems. It is hoped that the data literacy competency framework proposed in this study will serve as a foundational resource for policies, curricula, and the enhancement of individual data literacy competencies.

• Health Policy and Management
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• v.33 no.4
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• pp.450-456
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• 2023

Background: This study aims to develop a "Predictive Model for the Possibility of Collection Delinquent Health Insurance Contributions" for the National Health Insurance Service to enhance administrative efficiency in protecting and collecting contributions from livelihood-type defaulters. Additionally, it aims to establish customized collection management strategies based on individuals' ability to pay health insurance contributions. Methods: Firstly, to develop the "Predictive Model for the Possibility of Collection Delinquent Health Insurance Contributions," a series of processes including (1) analysis of defaulter characteristics, (2) model estimation and performance evaluation, and (3) model derivation will be conducted. Secondly, using the predictions from the model, individuals will be categorized into four types based on their payment ability and livelihood status, and collection strategies will be provided for each type. Results: Firstly, the regression equation of the prediction model is as follows: phat = exp (0.4729 + 0.0392 × gender + 0.00894 × age + 0.000563 × total income - 0.2849 × low-income type enrollee - 0.2271 × delinquency frequency + 0.9714 × delinquency action + 0.0851 × reduction) / [1 + exp (0.4729 + 0.0392 × gender + 0.00894 × age + 0.000563 × total income - 0.2849 × low-income type enrollee - 0.2271 × delinquency frequency + 0.9714 × delinquency action + 0.0851 × reduction)]. The prediction performance is an accuracy of 86.0%, sensitivity of 87.0%, and specificity of 84.8%. Secondly, individuals were categorized into four types based on livelihood status and payment ability. Particularly, the "support needed group," which comprises those with low payment ability and low-income type enrollee, suggests enhancing contribution relief and support policies. On the other hand, the "high-risk group," which comprises those without livelihood type and low payment ability, suggests implementing stricter default handling to improve collection rates. Conclusion: Upon examining the regression equation of the prediction model, it is evident that individuals with lower income levels and a history of past defaults have a lower probability of payment. This implies that defaults occur among those without the ability to bear the burden of health insurance contributions, leading to long-term defaults. Social insurance operates on the principles of mandatory participation and burden based on the ability to pay. Therefore, it is necessary to develop policies that consider individuals' ability to pay, such as transitioning livelihood-type defaulters to medical assistance or reducing insurance contribution burdens.

• Journal of Korean Public Health Nursing
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• v.6 no.1
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• pp.5-14
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• 1992

The role of Community Health Practitioner(CHP) should be continuously adapted to the social changes and the needs for health care services. That is the reason CHP needs to be retrained through the continuing education program. This paper showed CHP's roles to be reinforced by analyzing his present . task performance and ability in seven task areas as well as the changes of the social environment. In addition, this paper presented retraining areas needed for the reinforcement of the CHP's role in the future, and the development strategy of related continuing education package. The major results are as follows: 1. CHP's main practice area is health care services and management & guidance, whereas the development of health information system is neglected. 2. As a result, CHP plays a role mainly as a health care supplier, a consultant and a health instructor. Therefore CHP's roles to be reinforced are management of the community health system, act as a spokesman and a team member, promotion, assessment, collection & maintenance of information, coordination and research. 3. The areas to be reinforced in CHP's continuing education are (]) aged people's health, (2)?drinking & smoking, (3)?young people's health(including drug and sexualissues), (4) rehabilitation, (5)?administration and management for community health, (6)?partnership & membership, (7) local residents' participation and community development, (8) collection & treatment of health information and (9) environmental issues for community health. 4. The priority in developing continuing education package should be given to the area, which is encountered often in rural area but important, and has a good opportunity to be resolved. The health management of aged people was selected as a top priority by members of the Community Nursing Academic Society. 5. It is recommended that the instruction materials be accommodated to the small scale workshop or seminar in order that CHPs can participate actively in the continuing education program.