• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.301-319
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• 2022

In recent decades, research became more data-intensive in the fast-paced information environment. Researchers are facing new challenges in managing their research data due to the increasing volume of data-driven research and the policies of major funding agencies. Information professionals have begun to offer various data support services such as training, instruction, data curation, data management planning and data visualization. However, the emerging field of data librarians, including specific roles and competencies, has not been clearly established even though librarians are taking on new roles in data services. Therefore, there is a need to identify a set of competencies for data librarians in this growing field. The purpose of this study is to consider varying core competencies for data librarians. This exploratory study examines 95 online recruiting advertisements regarding data librarians posted between 2017 and 2021. This study finds core competencies for data librarians that include skills in technology, communication and interpersonal relationships, training/consulting, service, library management, metadata knowledge and knowledge of data curation. Specific core technology skills include knowledge of statistical software and computer programming. This study contributes to an understanding of core competencies for data librarians to help future information professionals prepare their competencies as data librarians and the instructors who develop and revise curriculum and course materials.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.173-184
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• 2014

The ability to need information-oriented society is the convergence ability based in information ability. A new curriculum is demanded by new technology and circumstance to need the core ability. Korea Association of Information Education have studied a new curriculum and suggest a new plan that content of information education classified by 'computer system', 'SW production' and 'convergence activities'. Therefore, we studied on convergence activities of K-9. In this paper we firstly suggested concept of convergence ability as activities to use ICT, information communication ethics and robot. We nextly suggested object to achieve, teaching-learning methods and evaluation methods of convergence activities. We expect the curriculum we suggested about convergence activities will contribute to training talented individuals.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.232-237
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• 2020

Given the recent pace of development and expansion of Artificial Intelligence (AI) technology, the influence and ripple effects of AI technology on the whole of our lives will be very large and spread rapidly. The National Artificial Intelligence R&D Strategy, published in 2019, emphasizes the importance of artificial intelligence education for K-12 students. It also mentions STEM education, AI convergence curriculum, and budget for supporting the development of teaching materials and tools. However, it is necessary to create a new type of curriculum at a time when artificial intelligence curriculum has never existed before. With many attempts and discussions going very fast in all countries on almost the same starting line. Also, there is no suitable professor for K-12 students, and it is difficult to make K-12 students understand the concept of AI. In particular, it is difficult to teach elementary school students through professional programming in AI education. It is also difficult to learn tools that can teach AI concepts. In this paper, we propose an educational model for elementary school students to improve their understanding of AI through play or experience. This an experiential education model that combineds exploratory learning and discovery learning using multi-intelligence and the PLAY teaching-learning model to undertand the importance of data training or data required for AI education. This educational model is designed to learn how a computer that knows only binary numbers through UA recognizes images. Through code.org, students were trained to learn AI robots and configured to understand data bias like play. In addition, by learning images directly on a computer through TeachableMachine, a tool capable of supervised learning, to understand the concept of dataset, learning process, and accuracy, and proposed the process of AI inference.

• Korean Parent-Child Health Journal
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• v.7 no.1
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• pp.61-72
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• 2004

This study investigates the history and principles of Korean traditional Taekyo by literary research. Taekyo is compared with prenatal care of modern western medicine, and its principles turn out to be just as scientific. Suggestions are made for a nurse to apply Taekyo principles to nursing care. Traditional Taekyo is an antenatal training which emphasizes how an expectant mother should carry herself (behavior) and a frame of mind she should have (her attitude) in order to produce a child with sound mind and body, as well as good personality. Though Taekyo has been originated in China 2,800 years ago, it has been recorded comprehensively in Korea in a series of publications such as Taekyoshingi, and Kyuhapchongseo, and passed on in a various verbal transitions like Samtaedo, Oliltaedo, etc. Taekyo principles can be explained by yin and yang theory, quantum theory, chaos theory, fetal programming, and social support theory. Some part of Taekyo shares the same scientific ground with prenatal care advocated by modern nursing care for women, where it emphasizes the role of a father, and participation of the whole family in helping an expectant mother. Applying Taekyo principles to nursing care is being done through Taekyo programs, which combine traditional Taekyo with modern prenatal care, in classes for child birth and many pregnant women participate. On the other hand, some internet Taekyo programs appear to be rather distorted and overzealous. A nurse has a responsibility to present a guideline and to monitor internet sites, so that pregnant women can understand the correct concept of traditional Taekyo before they practice it.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.1
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• pp.85-94
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• 2017

In this paper, I proposed a sound model generation and a most frequent model search algorithm for recognizing animal vocalization. The sound model generation algorithm generates a optimal set of models through repeating processes such as the training process, the Viterbi Search process, and the most frequent model search process while adjusting HMM(Hidden Markov Model) structure to improve global recognition rate. The most frequent model search algorithm searches the list of models produced by Viterbi Search Algorithm for the most frequent model and makes it be the final decision of recognition process. It is implemented using MFCC(Mel Frequency Cepstral Coefficient) for the sound feature, HMM for the model, and C# programming language. To evaluate the algorithm, a set of animal sounds for 27 species were prepared and the experiment showed that the sound model generation algorithm generates 27 HMM models with 97.29 percent of recognition rate.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.11
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• pp.4653-4658
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• 2015

Background: Palliative therapies have an important role in increasing the quality of healthcare and in dealing with physical and psychosocial problems due to cancer. We here aimed to evaluate the managerial perspectives and opinions of the hospital managers and clinical directors about specialized palliative care centers. Materials and Methods: This study was conducted in two large-scale hospitals in which oncology care is given with medical directors (n:70). A questionnaire developed by the researchers asking about demographic characteristics and professional experience, opinions and suggestions of medical directors about providing and integrating palliative care into healthcare was used and responses were analyzed. Results: Potential barriers in providing palliative care (PC) and integrating PC into health systems were perceived as institutional by most of the doctors (97%) and nurses (96%). Social barriers were reported by 54% of doctors and 82% of nurses. Barriers due to interest and knowledge of health professionals about PC were reported by 76% of doctors and 75% of nurses. Among encouragement ideas to provide PC were dealing with staff educational needs (72%), improved working conditions (77%) and establishing a special PC unit (49)%. An independent PC unit was suggested by 27.7% of participants and there was no difference between the hospitals. To overcome the barriers for integration of PC into health systems, providing education for health professionals and patient relatives, raising awareness in society, financial arrangements and providing infrastructure were suggested. The necessity for planning and programming were emphasized. Conclusions: In our study, the opinions and perspectives of hospital managers and clinical directors were similar to current approaches. Managerial needs for treating cancer in efficient cancer centers, increasing the capacity of health professionals to provide care in every stage of cancer, effective education planning and patient care management were emphasized.

• Journal of Korean Academy of Nursing
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• v.2 no.1
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• pp.159-174
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• 1971

The Family Planning Program has teen intensively implemented in Korea by the national policy since 1962. However, the desired effective results were not fully obtained by many reasons such as the shortage of qualified workers, lack of eligible women's cooperation and understanding of the importance of family planning etc., The field family planning workers is classified into two categories along the governmental personnel order; the senior field worker and the assistant field worker. The former is qualified licensed nurse and the latter same as the former of a certified nurses-aid. These family planning worker's roles are somewhat in change not only in field education, distribution of contraceptions, administrating mother's class of assistant field workers but also responsible for the senior field workers such as recording, reporting and keeping statistics. Therefor, the desired success of family planning programming in Korea depends on family planning worker's professional abilities and activities in the field. In aiming to study on professional knowledge of the above two kinds of family planning workers, the following results were obtained through a field survey with question airs done as of October, 1970 in Kyonggi-Do. 1. Working term of the family planning workers in average were less than two years. The younger the assistant Field workers were, the earlier they left job. 2. The assistant field workers selected their job in order to the superficial rather than implementing job itself. 3. Most of the workers either in the health center or in the Up-Myun had a better understanding concerning with their job ; contraceptive methods, maintenance of equipment and drug keeping, and other administrative procedures, etc., 4. They had relatively better understanding and sufficient knowledge about contraception itself and application of it's methods and side effects in detail too, but less knowledges for the care after. 5. It was hard to Find out any differences in administrative knowledge and demographic understanding. 5. It is fully agreed upon that the longer the worker have experienced with the program, the more skilful she applied. 7. The worker who had training whether pre-service or insertive are working more effectively than the untrained. 8. The fundamental demographic knowledge is recommended to obtain for the workers in Kyonggi-Do.

• Computers and Concrete
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• v.19 no.3
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• pp.275-282
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• 2017

The aim of this study is to build Machine Learning models to evaluate the effect of blast furnace slag (BFS) and waste tire rubber powder (WTRP) on the compressive strength of cement mortars. In order to develop these models, 12 different mixes with 288 specimens of the 2, 7, 28, and 90 days compressive strength experimental results of cement mortars containing BFS, WTRP and BFS+WTRP were used in training and testing by Random Forest, Ada Boost, SVM and Bayes classifier machine learning models, which implement standard cement tests. The machine learning models were trained with 288 data that acquired from experimental results. The models had four input parameters that cover the amount of Portland cement, BFS, WTRP and sample ages. Furthermore, it had one output parameter which is compressive strength of cement mortars. Experimental observations from compressive strength tests were compared with predictions of machine learning methods. In order to do predictive experimentation, we exploit R programming language and corresponding packages. During experimentation on the dataset, Random Forest, Ada Boost and SVM models have produced notable good outputs with higher coefficients of determination of R2, RMS and MAPE. Among the machine learning algorithms, Ada Boost presented the best R2, RMS and MAPE values, which are 0.9831, 5.2425 and 0.1105, respectively. As a result, in the model, the testing results indicated that experimental data can be estimated to a notable close extent by the model.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.6
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• pp.56-66
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• 1998

This paper investigates a neuro-controller combined in parallel with a conventional linear controller of PID type in order to control nonminimum phase systems more efficiently. The objective is to minimize overall position errors as well as to maintain small undershooting. A costfunction is proposed with two conflict objectives. The neuro-controller is trained off-line with evolutionary programming(EP) in such a way that it becomes optimal by minimizing the given cost function through global evaluation based on desired control performance during the whole training time interval. However, it is not easy to find an optimal solution which satisfies individual objective simultaneously. With the concept of Pareto optimality and EP, we train the proposed controller more effectively and obtain a valuable set of optimal solutions. Simulation results show the efficacy of the proposed controller in a viewpoint of improvement of performance of a step response like fast settling time and small undershoot or overshoot compared with that of a conventional linear controller.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.145-149
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• 2017

One of the challenges facing precision manufacturers is the increasing feature complexity of tight tolerance parts. All engineering drawings must account for the size, form, orientation, and location of all features to ensure manufacturability, measurability, and design intent. Geometric controls per ASME Y14.5 are typically applied to specify dimensional tolerances on engineering drawings and define size, form, orientation, and location of features. Many engineering drawings lack the necessary geometric dimensioning and tolerancing to allow for timely and accurate inspection and verification. Plus-minus tolerancing is typically ambiguous and requires extra time by engineering, programming, machining, and inspection functions to debate and agree on a single conclusion. Complex geometry can result in long inspection and verification times and put even the most sophisticated measurement equipment and processes to the test. In addition, design, manufacturing and quality engineers are often frustrated by communication errors over these features. However, an approach called profile tolerancing offers optimal definition of design intent by explicitly defining uniform boundaries around the physical geometry. It is an efficient and effective method for measurement and quality control. There are several advantages for product designers who use position and profile tolerancing instead of linear dimensioning. When design intent is conveyed unambiguously, manufacturers don't have to field multiple question from suppliers as they design and build a process for manufacturing and inspection. Profile tolerancing, when it is applied correctly, provides manufacturing and inspection functions with unambiguously defined tolerancing. Those data are manufacturable and measurable. Customers can see cost and lead time reductions with parts that consistently meet the design intent. Components can function properly-eliminating costly rework, redesign, and missed market opportunities. However a supplier that is poised to embrace profile tolerancing will no doubt run into resistance from those who would prefer the way things have always been done. It is not just internal naysayers, but also suppliers that might fight the change. In addition, the investment for suppliers can be steep in terms of training, equipment, and software.