• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.54-60
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• 2020

Online cybercrime has various causes. The criminal guilty language, Criminal lingo is active in the shaded area with the bilateral aspect of the word on cyber. It has been continuously producing massive risk factors in cyberspace. Criminals are shared and disseminated online. It has been linked with fake news and aids to suicide that has recently become an issue. Thus the criminal lingo has become a real danger factor on cyber interface. Recently, Criminal lingo is shared and distributed as cyber hazard information. It is transformed that damaging to the youth and ordinary people through the internet and social networks. In order to take action, it is necessary to construct an expert system based on AI to implement a smart management architecture with block-chain technology. In this paper, we study technically a new smart management architecture which uses artificial intelligence based decision algorithm and block-chain tracking technology to prevent the spread of criminal lingo factors in the evolving cyber world. In addition, through the off-line regular patrol program of police units, we proposed the conversion of online regular patrol program for "cyber harem area".

• 보건교육건강증진학회지
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• 제32권4호
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• pp.93-108
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• 2015

Objectives: The purpose of this study was to investigate the current state of health literacy research and to explore the directions of improvement health literacy in Korea. Methods: A review of literature was conducted via an electronic database and citation tracking reference. A total of 173 articles were identified, where and then 41 articles were selected for review that met the inclusion criteria. Two authors independently reviewed the articles using the matrix table and together examined together the three aspects of the studies: research methods, health literacy instrument, and results. Results: Most of the articles were descriptive-correlation studies, but there were one intervention study and six methodology studies that were developing health literacy measures and instrument related items and etc. More troubling sufficient samples and sampling methods were lacking at the population level. The validity of the used health literacy instruments was not sufficient reported. Conclusions: Health literacy instruments need to be validated in various population and contexts. Additionally, effective strategies to improve health literacy included teach-back, pictogram, and decision aids need to be tested in Korean health care system.

• 한국통신학회논문지
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• 제32권7B호
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• pp.438-447
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• 2007

인터넷 환경에서 유통되는 사용자 정보는 실소유자가 원하는 데로 제어되어야만 한다. 이를 위해서는 사용자가 요구하는 정보 유통 방식을 표현할 수 있는 프라이버시 정책이 필요하고, 사용자가 편리하게 정책을 설정할 수 있는 인터페이스가 요구된다. 또한 정보 유통이 발생할 때 사용자의 정책에 위배되는지 판단할 수 있는 시스템이 필요하다. 본 논문에서는 인터넷 Identity 관리 시스템 환경에서 운영되는 프라이버시 컨트롤러 시스템 모델을 제안하고 시스템의 인터페이스 및 정책 설정 과정을 제안한다. 정책 구현을 위한 언어로는 OASIS의 XACML을 수정하여 적용하였고, 사용자 정책 외에 도메인 정책, 기본 정보 제공 정책, 정책 충돌 해결 정책을 제안한다.

• 의료법학
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• 제12권2호
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• pp.65-117
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• 2011

This article analyzes the case (2008Da16776) which has the issue how patients have to prove causal relationship when patients claim against pharmaceutical companies alleging that patients were infected with virus due to contaminated blood products. The Supreme court held that: (1) if patients prove that they didn't have symptoms suggesting virus infection before administration of blood products, the virus infection had been confirmed after administration of blood products, and there were significant potential of contamination of the blood products with the virus, the defect in blood products or the negligence of pharmaceutical company in making blood products shall be presumed to cause the infection of the victim. (2) The pharmaceutical companies could reverse the presumption by proving the blood products were not contaminated, but the fact that the victims were treated with the blood products manufactured by other companies or had received blood transfusions is not enough to reverse the presumption. The case is the first decision whether the burden of proof about causal relationship could be reduced in pharmaceutical product liability lawsuit. Hereafter pharmaceutical product liability cases, it would be necessary to reduce the burden of proof about causal relationship in order to make substantive equality between patients and pharmaceutical companies.

• 보건행정학회지
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• 제24권1호
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• pp.4-12
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• 2014

Background: The purpose of this study is to investigate current status and investigation of government agencies, communities, corporates, hospitals, non-governmental organization, non-profit organization, and so on which performed Corporate Social Responsibility to global health issues. Methods: This paper focuses on analyzing definition and principle of public-private partnership (PPP), types of PPP, challenge of PPP through delphi survey and interview which need to be discussed by professional groups such as private groups, universities and researches, government decision makers, corporates, and hospitals for successful PPP. Results: Based on this analysis on global health issues of 237 groups, the results were shown that main global health issues of many hospitals were aids of the developing countries (48%). Main program was activities of overseas volunteers (30%) and most 152 groups (42%) supported Asia. Also, this paper gives a definition of PPP that is the growth together in PPPs as a way of fulfilling public tasks in partnership between the state administration and private enterprises to apply both strengths behind transparency, accountability. Conclusion: In conclusion, from the results of analysis, we suggest as prior setting of global issues for both demand and supply side and are served as the effective way by PPP on global health issues. Moreover, this study will be expanded on the sections of findings, multiple researches, discussion, and policy recommendations.

• 대한가정학회지
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• 제50권1호
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• pp.41-50
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• 2012

The purpose of this study was to examine the response pattern of children of early childhood (ages 4 to 5) to strangers' luring behaviors that suggest imminent crime. Data were collected from registrants offered by four kindergartens and daycare centers. Individual interviews were performed (N = 100) by using a questionnaire. Results were as follows: First, children of early childhood responded unfavorably to strange adults' kindness and request for aids. However, it was found that they did not make the right decision in relation to strange adults' luring behaviors that lead to crime when family related clues were manipulated. Second, children of early childhood responded favorably to strange adults' luring behaviors that are suggestive of criminal intent when candy, ice cream, and toys were offered. Especially, youngsters were more prone to be deceived by these indices than the older children. Third, older children responded unfavorably to strange adults' luring behaviors that suggest a criminal intent In addition, youngsters did not respond cleverly to strange adults' luring behaviors that suggest a criminal intent while showing a reluctant response.

• Journal of Microbiology
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• 제45권5호
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• pp.441-446
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• 2007

HIV-1 coreceptor usage and phenotype mainly determined by V3 loop are associated with the disease progression of AIDS. Predicting HIV-1 coreceptor usage and phenotype facilitates the monitoring of R5-to-X4 switch and treatment decision-making. In this study, we employed random forest to predict HIV-1 biological phenotype, based on 37 random features of V3 loop. In comparison with PSSM method, our RF predictor obtained higher prediction accuracy (95.1% for coreceptor usage and 92.1% for phenotype), especially for non-B non-C HIV-l subtypes (96.6% for coreceptor usage and 95.3% for phenotype). The net charge, polarity of V3 loop and five V3 sites are seven most important features for predicting HIV-1 coreceptor usage or phenotype. Among these features, V3 polarity and four V3 sites (22, 12, 18 and 13) are first reported to have high contribution to HIV-1 biological phenotype prediction.

• 대한전기학회논문지
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• 제39권3호
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• pp.240-246
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• 1990

The security control can be defined as all control actions and counter-measures to return the operating state of the system to a normal state. In an emergency state, fault clearing and/or overload suppression is enabled as a security control in order to prevent the extension of the fault. In the alert state, counter-measures should be set up in advance for the dangerous points of the system operation in drder to protect the system from expected accidents. In the normal state, the routine scenario is conducted to analyze system state. In the decision-making of the classification of system states, the heuristic and experienced knowledge can be well applied and thus application of expert system to this area attains considerable achievements. In this study, it is attempted to extract empirical rules through heuristic analysis and establish the knowledge base. Finally, the incorporation method with the conventional program packages in proposed. The expert system is designed to select an appropriate method and to perform the corresponding package. The input data can be automatically set up by using the data base. The computation results can be automatically added to the data base.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.179-191
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• 2024

With the advancement of modern technology, cyber-attacks are always rising. Specialized defense systems are needed to protect organizations against these threats. Malicious behavior in the network is discovered using security tools like intrusion detection systems (IDS), firewall, antimalware systems, security information and event management (SIEM). It aids in defending businesses from attacks. Delivering advance threat feeds for precise attack detection in intrusion detection systems is the role of cyber-threat intelligence (CTI) in the study is being presented. In this proposed work CTI feeds are utilized in the detection of assaults accurately in intrusion detection system. The ultimate objective is to identify the attacker behind the attack. Several data sets had been analyzed for attack detection. With the proposed study the ability to identify network attacks has improved by using machine learning algorithms. The proposed model provides 98% accuracy, 97% precision, and 96% recall respectively.

• 한국건설관리학회논문집
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• 제25권3호
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• pp.68-82
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• 2024

The planning stage of laser scanning is crucial for acquiring high-quality 3D source data. It involves assessing the target space's environment and formulating an effective measurement strategy. However, existing practices often overlook on-site conditions, with decisions on scanner deployment and scanning locations relying heavily on the operators' experience. This approach has resulted in frequent modifications to scanning locations and diminished 3D data quality. Previous research has explored the selection of optimal scanner locations and conducted preliminary reviews through simulation, but these methods have significant drawbacks. They fail to consider scanner inaccuracies, do not support the use of multiple scanners, rely on less accurate 2D drawings, and require specialized knowledge in 3D modeling and programming. This study introduces an optimization technique for laser scanning planning using 3D simulation to address these issues. By evaluating the accuracy of scan data from various laser scanners and their positioning for scanning a retaining wall structure in a small-scale building, this method aids in refining the laser scanning plan. It enhances the decision-making process for end-users by ensuring data quality and reducing the need for plan adjustments during the planning phase.