• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.4
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• pp.889-903
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• 2015

As the number of recent information security incident occurrence increases, more and more workload and liability pressure are given to info-security professionals, which results in decrease of morale level of working groups in the field. In order to solve this problem, Korean government is providing various action plans to improve the morale level of info-security professionals, and also requiring financial companies to submit its own action plan of increasing morale of info-security professionals to Financial Service Agency. For this study, based on the previous studies and relevant professionals' interviews, we selected 16 critical morale increase variables, and performed survey for empirical analysis. As a result, 3 features; role, system, and relationship were presented as the main factor of morale increasement of info-security professionals. This study also suggests a decision making method of utilizing the developed morale measurement model for individual organizations.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.2C
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• pp.83-92
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• 2011

Elastic modulus in rockmass is an important factor to represent the characteristic of rock deformation and is used to estimate the displacement due to tunnel excavation. Nevertheless, the study to estimate the elastic modulus, which condisiders the rock type and joint characteristics (joint shear strength and joint inclination angle), has been done in less frequency. Accordingly, this study is aimed at providing the method to estimate the elastic modulus of rockmass in the various rock and joint conditons and the results grasped from the study. For this purpose, the 2D discrete numerical analysis will be carried out and the displacements due to tunnel excavation will be investigated with the consideration of rock and joint conditions. Then the displacement results will be used to estimate the elastic modulus of rockmass in which rock and joint conditions are considered with the utilization of the elastic theory of circular tunnel. The results of elastic modulus, which considers the conditions of various rock and joint, would be expected to have a great practical use in field.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.2
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• pp.17-31
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• 2020

In the field of environmental landscape architecture, the internet medium is used as an effective communication tool not only in the private level but also in the policy level. Recently, the active utilization of mobile web service is emphasized as the time changes, but there is not much improvement or advance in services due to lack of relevant studies. Therefore, this study is intended to provide basic data needed for improvement and advance by researching the quality of mobile web service among multichannel services provided in environmental landscape architecture related internet media. The model for measuring service quality is SERVQUAL, which was verified in the study of Choi(2015), Choi and Koo(2016), and the final valid samples are total 230. First, the subjects were analyzed as the representative media that are possible to acquire comprehensive knowledge related to environmental landscape architecture. Second, the highest importance level in each subsection was 'protection and security maintenance of customer information' followed by 'Reliability about accurate information supply'. Regarding performance level, 'Reliability about accurate information supply' and 'professional knowledge to communicate with users' are highly evaluated. Third, regarding Importance-Performance Analysis(IPA), the first priority management should is 'Tangibles', and the next are 'Responsibility' and 'Empathy'. The ones for maintenance of the status quo are 'Reliability' and 'Assurance', and there is none for effort reduction. Meanwhile, regarding the importance of each factor and difference in the quality of PC web service and mobile web service studied before, the biggest difference is in 'Tangibles', followed by 'Assurance', 'Empathy', 'Responsibility' and 'Reliability'. It is suggested that the revitalization of Landscape information science(LB1106) presented in the National Science&Technology Standard Classification System is needed. In the future, it is necessary to research the change trend on users' response through continuous evaluation of improved mobile web service.

• Journal of the Korean Society for information Management
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• v.18 no.3
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• pp.7-28
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• 2001

The purpose of this study is to investigate the selection mechanism of the Science Citation Index(SCI) in domestic journals. Analysis has been carried out specially on the \"Journal of the Korean Nuclear Society\", which is a leading journal in the nuclear field in Korea. It is published in English and meets the basic standards of technical journal, however, does not meet the SCI selection criteria in many aspects. Major problems are; 1) Small number of research institutes and universities submit articles to the journal. 2) The impact factor is 0.097, far less than 0.764, the average value of SCI, and the rate of self-citation approaches only to 50%. 3) The journal is not distributed to the libraries in universities and research institutes that have nuclear engineering programs in foreign countries. 4) It does not have editor from international communities, only domestic editors serve for the journal. The study made recommendations for ways to be selected by SCI and utilization of this study for selection criteria of SCI.

• Journal of Preventive Medicine and Public Health
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• v.49 no.6
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• pp.386-393
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• 2016

Objectives: General practitioners (GPs) retention in rural and underserved areas highly effects on accessibility of healthcare facilities across the country. Education seems to be a critical factor that affects GPs retention. Thus, the present study aimed at inquiry into medical education challenges that limit their retention in rural and underserved areas. Methods: A qualitative approach was applied for the aim of this study. Data were gathered via 28 semi-structured interviews with experts at different levels of Iran's health system as well as GPs who retained and refused to retain working in rural settings. Interviews mainly were performed face-to-face and in some cases via telephone during 2015 and then coded and analyzed using content analysis approach. Results: Iran's medical education is faced with several challenges that were categorized in four main themes including student selection, medical students' perception about their field of study, education setting and approach, curriculum of medical education. According to experts this challenges could results in making GP graduates disinterested for practicing in rural and underserved areas. Conclusions: Challenges that were found could have negative effects on retention. Modification in student's perception about rural practice could be done via changing education setting and approach and curriculum. These modifications could improve GPs retention in rural and underserved areas.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.1
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• pp.157-167
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• 2020

The big data and artificial intelligence technology, which has provided the foundation for the recent 4th industrial revolution, has become a major driving force in business innovation across industries. In the field of information security, we are trying to develop and improve an intelligent security system by applying these techniques to large-scale log data, which has been difficult to find effective utilization methods before. The quality of security log big data, which is the basis of information security AI learning, is an important input factor that determines the performance of intelligent security system. However, the difference and complexity of log data by various product has a problem that requires excessive time and effort in preprocessing big data with poor data quality. In this study, we research and analyze the cases related to log data collection of various firewall. By proposing firewall log data collection format standard, we hope to contribute to the development of intelligent security systems based on security log big data.

• The Plant Pathology Journal
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• v.32 no.5
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• pp.414-422
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• 2016

Eucalyptus dieback disease, caused by Cylindrocladium scoparium, has occurred in last few years in large Eucalyptus planting areas in China and other countries. Rapid, simple, and reliable diagnostic techniques are desired for the early detection of Eucalyptus dieback of C. scoparium prior to formulation of efficient control plan. For this purpose, three PCR-based methods of nested PCR, multiplex PCR, loop-mediated isothermal amplification (LAMP) were developed for detection of C. scoparium based on factor 1-alpha (tef1) and beta-tubulin gene in this study. All of the three methods showed highly specific to C. scoparium. The sensitivities of the nested PCR and LAMP were much higher than the multiplex PCR. The sensitivity of multiplex PCR was also higher than regular PCR. C. scoparium could be detected within 60 min from infected Eucalyptus plants by LAMP, while at least 2 h was needed by the rest two methods. Using different Eucalyptus tissues as samples for C. scoparium detection, all of the three PCR-based methods showed much better detection results than regular PCR. Base on the results from this study, we concluded that any of the three PCR-based methods could be used as diagnostic technology for the development of efficient strategies of Eucalyptus dieback disease control. Particularly, LAMP was the most practical method in field application because of its one-step and rapid reaction, simple operation, single-tube utilization, and simple visualization of amplification products.

• Communications of Mathematical Education
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• v.35 no.4
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• pp.359-376
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• 2021

In this study, in accordance with the research trend that the learner's emotions expressed positively or negatively in mathematics learning or the learner's beliefs and attitudes toward mathematics learning affect the results of mathematics learning, the learner's emotions and affective factors are analyzed in the learner's own learning. A power that can be adjusted according to a goal or purpose is needed, and I tried to explain this power through meta-affect. To this end, the meaning of the definitional and conceptual factors of meta-affect was explored based on prior studies. Affective factors of meta-affect were viewed as emotions, attitudes, and beliefs, and conceptual factors of meta-affect were viewed as awareness, evaluating, controlling, utilization, and monitoring, and the meaning of each conceptual factor was also defined. In this study, the conceptual factors and meanings of meta-affect in terms of using them to help in learning mathematics by controlling them, beyond the identification or examination of the characteristics of the affective factors, which are meaningfully dealt with in the field of mathematics education.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.3
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• pp.589-598
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• 2019

The amount of digital data a is explosively growing, and these data have large potential values. Countries and companies are creating various added values from vast amounts of data, and are making a lot of investments in data analysis techniques. The privacy problem that occurs in data analysis is a major factor that hinders data utilization. Recently, as privacy violation attacks on neural network models have been proposed. researches on artificial neural network technology that preserves privacy is required. Therefore, various privacy preserving artificial neural network technologies have been studied in the field of differential privacy that ensures strict privacy. However, there are problems that the balance between the accuracy of the neural network model and the privacy budget is not appropriate. In this paper, we study differential privacy techniques that preserve the performance of a model within a given privacy budget and is resistant to model inversion attacks. Also, we analyze the resistance of model inversion attack according to privacy preservation strength.

• The Plant Pathology Journal
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• v.39 no.3
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• pp.275-289
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• 2023

Fungal isolates from infected Chinese quince trees were found to cause black rot in Yeongcheon, Gyeongsangbuk Province, Korea. The quince leaves withered and turned reddish-brown and fruits underwent black mummification. To elucidate the cause of these symptoms, the pathogen was isolated from infected leaf and fruit tissues on potato dextrose agar and Levan media. Several fungal colonies forming a fluffy white or dark gray mycelium and two types of fungi forming an aerial white mycelium, growing widely at the edges, were isolated. Microscopic observations, investigation of fungal growth characteristics on various media, and molecular identification using an internal transcribed spacer, β-tubulin, and translation elongation factor 1-α genes were performed. The fungal pathogens were identified as Diplodia parva and Diplodia crataegicola. Pathogenicity tests revealed that the pathogen-inoculated fruits exhibited a layered pattern, turning brown rotting; leaves showed circular brown necrotic lesions. The developed symptoms were similar to those observed in the field. Fungal pathogens were reisolated to fulfill Koch's postulates. Apples were inoculated with fungal pathogens to investigate the host range. Strong pathogenicity was evident in the fruits, with browning and rotting symptoms 3 days after inoculation. To determine pathogen control, a fungicidal sensitivity test was conducted using four registered fungicides. Thiophanate-methyl, propineb, and tebuconazole inhibited the mycelial growth of pathogens. To the best of our knowledge, this is the first report on the isolation and identification of the fungal pathogens D. parva and D. crataegicola from infected fruits and leaves of Chinese quince, causing black rot disease in Korea.