• Journal of KIISE
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• v.42 no.8
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• pp.998-1009
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• 2015

In recent years, there has been a growing interest in RDFS Inference to build a rich knowledge base. However, it is difficult to improve the inference performance with large data by using a single machine. Therefore, researchers are investigating the development of a RDFS inference engine for a distributed computing environment. However, the existing inference engines cannot process data in real-time, are difficult to implement, and are vulnerable to repetitive tasks. In order to overcome these problems, we propose a method to construct an in-memory distributed inference engine that uses a parallel graph structure. In general, the ontology based on a triple structure possesses a graph structure. Thus, it is intuitive to design a graph structure-based inference engine. Moreover, the RDFS inference rule can be implemented by utilizing the operator of the graph structure, and we can thus design the inference engine according to the graph structure, and not the structure of the data table. In this study, we evaluate the proposed inference engine by using the LUBM1000 and LUBM3000 data to test the speed of the inference. The results of our experiment indicate that the proposed in-memory distributed inference engine achieved a performance of about 10 times faster than an in-storage inference engine.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.389-399
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• 2021

The purpose of this study was to explore the domestic and overseas home modification policies, and review the direction of domestic home modification policies to enable 'Aging In Place; AIP' and the competencies required of occupational therapist as and expert in home modification. In order to expand occupational therapy for domestic home modification and strengthen occupational therapist competency, it is required to establish a clear and practical home modification process that reflects the design and intervention of occupational therapy. Appropriate selection and standardization of the evaluation tools that identifies the needs of the elderly and reflects the characteristics of domestic housing types are also required. In addition, it is necessary to understand policies and systems, and endeavour to establish a relevant knowledge base for communication and cooperation with experts in other fields. In terms of the policy, there is a need for the home modification support system that allows the elderly to adapt to their aging regardless of their income level, beyond the existing support system, which was implemented mainly for low-income people and disabled. In addition, as in overseas cases, the efforts need to be made to provide various and efficient measures, such as support for barrier-free housing, expansion of the scope of support through cooperation between the national government and local governments, low-interest loans and tax reductions, and establishment of governance with organizations and institutions related to home modification services.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.177-189
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• 2018

Business environment is always full of challenges. Despite various strategic efforts, there are so many failure cases of misfit. With the weaker resource base and institutional foundation, startup firms find it more difficult to find the right spot in the stiff competition. In the middle of evolutionary process, the startup firms need proper strategies meeting the differential challenges along the multiple stages of growth. Following the idea of product life cycle, this study applies the four stages of growth-startup, initial growth, accelerated growth, matured, and decliing. The next step for the startup manager is meeting each stage of growth with proper strategic efforts, including strategy, structure, decision-making pattern, and control method. When the knowledge factor is introduced, there is a potential for higher performance. Based on the 'Detailed Survey on Startup Ventures in 2017,' this study explores the impact of the government subsidy program on the firm competitiveness and performance-along the four stages of growth. In each stage, the strategy factors showed differential impact.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.503-513
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• 2019

This study was conducted to understand and describe in depth the university life experience and the feelings of nursing students who transferred to a new nursing school, and the data was obtained through phenomenological methods. The participants of this study were 8 graduate transfer students who graduated from a 4 year university at C university and had a bachelor degree, and they then transferred into the third year of another 4 year university to study nursing. The data was collected from October 2018 to January 2019 by using in-depth interviews and tape-recording. The interview data was analyzed by the phenomenological analysis method of Giorgi. The analysis revealed the following factors: a feeling of heterogeneity, a feeling of burden, a need for adaption to the department and the responsibility for the choice of transferring schools. In conclusion, it is necessary for the transfer students who have transferred to a nursing department to prepare a plan while still in their first school and that can be done together with their fellow future transferees so that they do not feel a sense of heterogeneity with the existing students. In order for transfer students to bear the burden of studying in the new department, it is suggested that an intervention program should be developed to help transfer students adapt to their major, such as providing a base for efficiently acquiring the major knowledge of the nursing profession.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.3
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• pp.111-127
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• 2019

The "fourth industrial revolution" is changing society as a whole. Public innovation is needed to enhance national competitiveness. Amid these times' demands, the "maker movement," a new form of DIY movement that has revived since 2000, is regarded as a "popular innovation activity" that can respond to changing needs. In particular, "Makerspace," a significant activity area for the maker's movement, is drawing attention as a place where "Maker" shares each other's knowledge and resources, and share results. Makerspace has recently expanded its functions into a 'public innovation platform' or (preparation) start-up preparation space for start-ups. South Korea has also supported various types of "Makerspace" since 2010 as a policy for fostering an innovation base. The Ministry of Small and Medium Venture Business has been pushing for expansion of Makerspace since 2018 and is providing support by dividing it into "general rap" and "professional wrap" and "zero to Maker" spaces for novice makers in the beginning and necessary stages of makers, while "professional rap" is divided into "Maker to Maker" spaces for professionals. This study is about Makerspace, space where makers are active among the topics related to manufacturers. Thus, in this study, significant domestic and international studies related to Makerspace have been investigated so far, and trends in related studies have analyzed. Based on this, the research needs and specifics of Makerspace, which has recently expanded its role and functions. In particular, the Commission intends to present the need for research on Makerspace and specific areas of study from a start-up management perspective to promote qualitative growth of Makerspace, which is changing into a popular innovation platform in the era of the fourth industry, and inducing a start-up management interest in new manufacturing industry types.

• Research in Plant Disease
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• v.24 no.4
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• pp.302-307
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• 2018

From 2014 to 2016, approximately 5% of okra fruit were observed displaying gray mold symptoms at the research field of Jeollabuk-do Agricultural Research and Extension Services, Korea. The symptoms observed were water-soaked, brown or gray spots, and abundant mycelial with conidia appearing on the infected fruit. Initial infection commenced from the base of fruit and gradually moved to the pod, where it finally resulted in collapse. Colonies on potato dextrose agar were gray to grayish brown, felted and cottony expanding 65-80 mm after one week. The fungus formed several black sclerotia ranging $1.0-3.5{\times}0.5-3.0mm$ on the Petri dish after two weeks. The conidia were one-celled, ellipsoidal or ovoid, colorless or pale brown, and $6.2-15.4{\times}5.0-10.4{\mu}m$. Conidiophores arose solitary or in groups, straight or flexuous, septate, with an inflated basal cell brown to light brown, and measured $85-450{\times}10.0-40.0{\mu}m$. On the basis of the morphological characteristics and phylogenetic analyses of internal transcribed spacer rDNA, the fungus was identified as Botrytis cinerea Pers. Pathogenicity of a representative isolate was proved by artificial inoculation, fulfilling Koch's postulates. To our knowledge, this is the first report on the occurrence of B. cinerea on okra in Korea.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.25-40
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• 2019

Many companies are executing big data analysis and utilization projects to legitimize the development of new business areas or conversion of management or technical strategies. In Korea and abroad, however, such projects are failing because they are not completed within specified deadlines, which is not unrelated to the current situation in which the knowledge base for big data project risk management from an engineering perspective is grossly lacking. As such, the current study analyzes the risk factors of big data implementation and utilization projects, in addition to finding risk factors that are highly important. To achieve this end, the study extracts project risk factors via literature review, after which they are grouped using affinity methodology and sifted through expert surveys. The deduced risk factors are structuralize using factor analysis to develop a table that categorizes various types of big data project risk factors. The current study is significant that in it provides a basis for developing basic control indicators related to risk identification, risk assessment, and risk analysis. The findings from the study contribute greatly to the success of big data projects, by providing theoretical basis regarding efficient big data project risk management.

• Tuberculosis and Respiratory Diseases
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• v.84 no.2
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• pp.148-158
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• 2021

Background: Radiotherapy is a common treatment option for lung or esophageal cancer, particularly when surgery is not feasible for patients with poor lung function. However, radiotherapy can affect pulmonary function and thereby induce pneumonitis or pneumonia, which can be fatal in patients with respiratory impairment. The purpose of this study is to evaluate if reductions in pulmonary function after radiotherapy can be minimized through simultaneous pulmonary rehabilitation (PR). Methods: In this matched case control study, we retrospectively analyzed patients who had undergone radiotherapy for thoracic malignant disease between January 2018 and June 2019. We analyzed results from pulmonary function tests and 6-minute walking tests (6MWT) conducted within the six months before and after radiotherapy treatment. Results: In total, results from 144 patients were analyzed, with 11 of the patients receiving PR and radiotherapy simultaneously. Of the 133 patients in the control group, 33 were matched with 11 patients in the PR group. Changes in forced expiratory volume in one second (FEV₁) and FEV₁/forced vital capacity were significantly different between the PR group and the matched control group (240 mL vs. -10 mL, p=0.017 and 5.5% vs. 1.0%, p=0.038, respectively). The median distance of 6MWT in the PR group also increased significantly, from 407.5 m to 493.0 m after radiotherapy (p=0.017). Conclusion: Simultaneous PR improved pulmonary function, particularly in measures of FEV₁, and exercise capacity for patients with lung or esophageal cancer even after radiotherapy treatment. These findings may provide an important base of knowledge for further large population studies with long-term follow-up analysis in the identification of the PR's effects during thoracic radiotherapy.

• The Journal of Korean Philosophical History
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• no.23
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• pp.67-97
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• 2008

In this paper, I found the leadership core-value of the Sunbai(선배) a man of refined taste. I studied twelve Sunbai considered as a man of refined taste in this research. I focused on the aspect showing common worth among their various abilities and cultural contributions, a point of view of classifying them into one form called Sunbai a man of refined taste. As the core value is the basis of supporting the individual identity, so the leadership core-value is the source and philosophical base of displaying the leadership. Our Sunbai combining character and knowledge show common structure in their personal growth and showing the leadership. It is that they embodied the stage of cultivating themselves(修身, Self), considering the relation with others(齊家, Relation), leading the organization(治國, Team), and making efforts for and having influence on the community(平天下, Community) throughout their own life. I examined how to display the leadership in the four fields on a case by case basis and then constructed the leadership model of the Sunbai a man of refined taste by synthesizing them. As a result, I considered their leadership core-value as the intercommunication and named it 'Leadership of Muaesabang(無碍四方)'. Also, I confirmed that it is still very valuable in these days of aiming at the open society and the harmony of the diverse civilization.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.4
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• pp.125-135
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• 2009

Logs from various security system can reveal the attack trials for accessing private data without authorization. The logs can be a kind of confidence deriving factors that a certain IP address is involved in the trial. This paper presents a rule-based expert system for derivation of privacy violation confidence using various security systems. Generally, security manager analyzes and synthesizes the log information from various security systems about a certain IP address to find the relevance with privacy violation cases. The security managers' knowledge handling various log information can be transformed into rules for automation of the log analysis and synthesis. Especially, the coverage of log analysis for personal information leakage is not too broad when we compare with the analysis of various intrusion trials. Thus, the number of rules that we should author is relatively small. In this paper, we have derived correlation among logs from IDS, Firewall and Webserver in the view point of privacy protection and implemented a rule-based expert system based on the derived correlation. Consequently, we defined a method for calculating the score which represents the relevance between IP address and privacy violation. The UI(User Interface) expert system has a capability of managing the rule set such as insertion, deletion and update.