• Journal of KIISE:Software and Applications
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• v.31 no.10
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• pp.1386-1399
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• 2004

This paper presents correlation-based automatic image captioning. Given a training set of annotated images, we want to discover correlations between visual features and textual features, so that we can automatically generate descriptive textual features for a new unseen image. We develop models with multiple design alternatives such as 1) adaptively clustering visual features, 2) weighting visual features and textual features, and 3) reducing dimensionality for noise sup-Pression. We experiment thoroughly on 10 data sets of various content styles from the Corel image database, about 680MB. The major contributions of this work are: (a) we show that careful weighting visual and textual features, as well as clustering visual features adaptively leads to consistent performance improvements, and (b) our proposed methods achieve a relative improvement of up to 45% on annotation accuracy over the state-of-the-art, EM approach.

• Journal of Microbiology and Biotechnology
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• v.20 no.10
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• pp.1386-1392
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• 2010

A bacterial strain designated GR5$^T$, previously isolated from a freshwater culture pond in Taiwan while screening for bacteria for antimicrobial compounds, was characterized using a polyphasic taxonomic approach. Strain GR5$^T$ was found to be Gram-negative, aerobic, greenish-yellow colored, rod-shaped, and motile by means of a single polar flagellum. Growth occurred at $10-40^{\circ}C$ (optimum, $35^{\circ}C$), pH 7.0-8.0 (optimum pH 8.0), and with 0-2.0% NaCl (optimum, 0.5-1.0%). The major fatty acids were $C_{16:1}{\omega}7c$(36.3%), $C_{16:0}$(16.6%), $C_{12:0}$ 3-OH (12.5%), and $C_{18:1}{\omega}7c$(9.1%). The major respiratory quinone was Q-8, and the DNA G+C content of the genomic DNA was 51.9 mol%. Phylogenetic analyses based on 16S rRNA gene sequences showed that strain GR5$^T$ belongs to the genus Rheinheimera, where its most closely related neighbors are Rheinheimera texasensis A62-14B$^T$ and Rheinheimera tangshanensis JA3-B52$^T$ with sequence similarities of 98.1% and 97.5%, respectively, and the sequence similarities to any other recognized species within Gammaproteobacteria are less than 96.5%. The mean level of DNA-DNA relatedness between strain GR5$^T$ and R. texasensis A62-14B$^T$, the strain most closely related to the isolate, was $26.5{\pm}7.6%$. Therefore, based on the phylogenetic and phenotypic data, strain GR5$^T$ should be classified as a novel species, for which the name Rheinheimera aquatica sp. nov. is proposed. The type strain is GR5$^T$ (=BCRC 80081$^T$=LMG 25379$^T$).

• Journal of Korean Society of Archives and Records Management
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• v.17 no.4
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• pp.87-107
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• 2017

Because of the creation and transfer of born-digital records, file unit-based record description practices have changed fundamentally. In this study, we analyzed the archival description practices of The National Archives (TNA) to maintain intellectual control in the digital records management environment and to support the access to records of users. TNA has created an archival description based on ISAD(G) but, for describing born-digital records, it changed the guideline for descriptive cataloging practices. As the method of ISAD(G) cannot adhere to born-digital records, the next-generation descriptive standard, Records in Contexts (RiC), is still being developed by ICA. In addition to international efforts, we need to build an archival description system that fits our environment, especially because since the year 2000, TNA's online cataloging system has changed and ISAD(G) has been modified in this process. This study also proposed continuous monitoring of digital archival descriptions, provides an integrated approach to analog records and digital content and strengthens experimentation and cooperation toward an uncertain digital future.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.2 no.1
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• pp.55-66
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• 1995

The goals of nursing education, and the bases for evaluating them depend on the goals of nursing practice. In order to prepare for the coming twenty first century and the meet changing societal demands and health needs, it is necessary to develop a new conceptual framework for future nursing education. While hospitals will still be in significant components of the health care system, will no longer be central focus or dominant influence. Health care services will be more usually delivered at community base. The nursing education required by that new approach must provide for reconsidered about a concept of caring as nursing curriculum. The changes in health care delivery that have occured, now being proposed, for nursing education undergoing its own changes. So the philosophy and objectives of education meed to reconsidering about the caring concept and general nursing. Nurse educators must prepare students to practic in condition of constant change. At the same time nurse educators must emphasize preparation about that. The practice of science of caring in nursing draws on a basic knowledge of the behavioral knowledge, biophysical processes, pathological processes, nursing skills and procedures and various treatment regimes and problem solving to help decision making in nursing situations. The concept of care is probably one of the least understood ideas used by professional and nonprofessional people, yet it is probably one of the most improtant concepts to be understood by nursing. Human caring and human relationships are closely interrelated. Humn caring remains an essential dimension of professional work and the science of caring as essental to the discipline of nursing. It is expected that the objectives of nursing education will be accomplished when the course and content of the curriculum are based on this conceptual framework. One recurrent education goal with some consistency is that of equipping the student with the necessary skills to live effectively and productivly in the world of tomorrow. In the new vision we are developing, professional education must also include exposure to liberal arts, encouragement of critical thinking, and a moral context for advanced professional education that is based upon a contextual health policy and caring science educational model.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.613-622
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• 2001

As logistic environment of digital resources is rapidly changing, protection of the intellectual property for digital resources has been recognized as one of important issues. Digital Rights Management (DRM) has taken much interests from ISP, authors and publishers of digital content as an integrated approach to create a reliable environment for access and the use of digital resource. In this paper we proposed a dynamic digital rights management system based on adaptive agent theory (ARPA : Adaptive Resource Protection Agent) to address problems facing contemporary DRM approaches : static rights management problem solving and strengthened monitoring/tracking system. We introduced a dynamic mission control scheme to realize dynamic digital rights management. We incorporated adaptive agent theory to implement on-and off-line tracking and protection. Through the implementation of protype system, the process, the process dynamic digital rights protection will be demonstrated.

• Computers and Concrete
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• v.24 no.6
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• pp.541-553
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• 2019

Alkali-silica reaction (ASR) in concrete can induce degradation in its mechanical properties, leading to compromised serviceability and even loss in load capacity of concrete structures. Compared to other properties, ASR often affects the modulus of elasticity more significantly. Several empirical models have thus been established to estimate elastic modulus reduction based on the ASR expansion only for condition assessment and capacity evaluation of the distressed structures. However, it has been observed from experimental studies in the literature that for any given level of ASR expansion, there are significant variations on the measured modulus of elasticity. In fact, many other factors, such as cement content, reactive aggregate type, exposure condition, additional alkali and concrete strength, have been commonly known in contribution to changes of concrete elastic modulus due to ASR. In this study, an artificial intelligent model using artificial neural network (ANN) is proposed for the first time to provide an innovative approach for evaluation of the elastic modulus of ASR-affected concrete, which is able to take into account contribution of several influence factors. By intelligently fusing multiple information, the proposed ANN model can provide an accurate estimation of the modulus of elasticity, which shows a significant improvement from empirical based models used in current practice. The results also indicate that expansion due to ASR is not the only factor contributing to the stiffness change, and various factors have to be included during the evaluation.

• Journal of Korean Academy of Nursing
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• v.49 no.4
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• pp.398-410
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• 2019

Purpose: This study used a system dynamics methodology to identify correlation and nonlinear feedback structures among factors affecting adolescent cyberbullying victims (CV) in Korea and to construct and verify a simulation model. Methods: Factors affecting CV were identified by reviewing a theoretical background in existing literature and referencing various statistical data. Related variables were identified through content validity verification by an expert group, after which a causal loop diagram (CLD) was constructed based on the variables. A stock-flow diagram (SFD) using Vensim Professional 7.3 was used to establish a CV model. Results: Based on the literature review and expert verification, 22 variables associated with CV were identified and the CLD was prepared. Next, a model was developed by converting the CLD to an SFD. The simulation results showed that the variables such as negative emotions, stress levels, high levels of conflict in schools, parental monitoring, and time spent using new media had the strongest effects on CV. The model's validity was verified using equation check, sensitivity analysis for timestep and simulation with 4 CV adolescent. Conclusion: The system dynamics model constructed in this study can be used to develop intervention strategies in schools that are focused on counseling that can prevent cyberbullying and assist in the victims' recovery by formulating a feedback structure and capturing the dynamic changes observed in CV. To prevent cyberbullying, it is necessary to develop more effective strategies such as prevention education, counseling and treatment that considers factors pertaining to the individual, family, school, and media.

• Journal of Christian Education in Korea
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• v.79
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• pp.7-31
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• 2024

Purpose of Study : The purpose of this essay is to explore the tasks for Christian education as a posthuman practical theology, with a focus on the discussions surrounding transhumanism, posthumanism, and critical posthumanism. Research Content and Method : To achieve this purpose, this essay performs a literature-based, interdisciplinary conversation that focuses on transhumanism and posthumanism discourses. It also examines these posthuman theories from a transversal disciplinary dialogue between posthumasnism and theology with a focus on technology and ecology. This essay employs roughly methodology of practical theology to propose tasks for Christian education. Conclusions and Suggestions : In conclusion, the tasks for Christian education as a posthuman practical theology include: first, research and interpretation of posthuman contexts with a descriptive-empirical approach; second, posing biblical and theological norms for posthuman telos; third, inter-subjectivity and faith formation through the networking entanglement and becoming; fourth, establishing a theory-practice relationship based on theopoiesis; fifth, forming the church as a symbiotic educational community; and sixth, reconfiguring public paideia toward the zoe of the Kingdom of God as the common good.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.177-195
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• 2017

This study attempts to infer research fronts using factor graph model based on heterogeneous features. The model suggested by this study infers research fronts having documents with the potential to be cited multiple times in the future. To this end, the documents are represented by bibliographic, network, and content features. Bibliographic features contain bibliographic information such as the number of authors, the number of institutions to which the authors belong, proceedings, the number of keywords the authors provide, funds, the number of references, the number of pages, and the journal impact factor. Network features include degree centrality, betweenness, and closeness among the document network. Content features include keywords from the title and abstract using keyphrase extraction techniques. The model learns these features of a publication and infers whether the document would be an RF using sum-product algorithm and junction tree algorithm on a factor graph. We experimentally demonstrate that when predicting RFs, the FG predicted more densely connected documents than those predicted by RFs constructed using a traditional bibliometric approach. Our results also indicate that FG-predicted documents exhibit stronger degrees of centrality and betweenness among RFs.

• Journal of the Korean Geosynthetics Society
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• v.10 no.4
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• pp.123-130
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• 2011

In the precedent study it was presented that the comparison of thermal resistivity using various backfill materials including river sand regarding water content, dry unit weight and particle size distribution. Based on the precedent study, this study focused on developing the optimized backfill material that would improve the power transfer capability and minimize the thermal runaway due to an increase of power transmission capacity of underground power cables. When raw materials, such as river sand, recycled sand, crush rock and stone powder, are used for a backfill material, they has not efficient thermal resistivity around underground power cables. Thus, laboratory tests are performed by mixing Fly-ash, slag and floc with them, and then it is found that the optimized backfill material are required proper water content and maximum density. Through various experimental test, when coarse material, crush rock, is mixed with recycled sand, stone powder, slag or floc for a dense material, the thermal resistivity of it has $50^{\circ}C$-cm/Watt at optimum moisture content, and the increase of thermal resistivity does not happen in dry condition. The result of experiments approach the optimization of the backfill materials for underground power cables.