• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.332-338
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• 2021

Civil aviation cybersecurity challenges are global in nature and must be addressed using global best practices and the combined efforts of all stakeholders. This requires the development of comprehensive international strategies and detailed plans for their implementation, with appropriate resources. It is important to build such strategies on a common methodology that can be applied to civil aviation and other interrelated critical infrastructure sectors. The goal of the study was to determine the methodological basis for developing an international civil aviation cybersecurity strategy, taking into account existing experience in strategic planning at the level of international specialized organizations. The research was conducted using general scientific and theoretical research methods: observation, description, formalization, analysis, synthesis, generalization, explanation As a result of the study, it was established the specifics of the approach to formulating strategic goals in civil aviation cybersecurity programs in the documents of intergovernmental and international non-governmental organizations in the aviation sphere, generally based on a comprehensive vision of cybersecurity management. A comparative analysis of strategic priorities, objectives, and planned activities for their implementation revealed common characteristics based on a single methodological sense of cybersecurity as a symbiosis of five components: human capacity, processes, technologies, communications, and its regulatory support. It was found that additional branching and detailing of priority areas in the strategic documents of international civil aviation organizations (by the example of Cybersecurity Strategy and Cybersecurity Action Plan) does not always contribute to compliance with a unified methodological framework. It is argued that to develop an international civil aviation cybersecurity strategy, it is advisable to use the methodological basis of the Cyber Security Index.

• 상하수도학회지
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• 제34권6호
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• pp.495-502
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• 2020

The 37 indicators for performance evaluation of public sewage management agencies are divided into four major categories (agency manpower management ability, wastewater treatment plant operation and management, sludge and water reuse, service quality) in the first stage, and the necessity and score acquisition for the detailed indicators by each major category in the second stages. Priority was investigated through the Analytic Hierarchy Process (AHP) analysis technique for ease and relevance of company efforts. Also, based on the results of this analysis, integrated type weighting and relative importance were analyzed. As a result of the analysis, the weight and relative importance of the first stage classification were in the order of wastewater treatment plant operation and maintenance, operation agency manpower management ability, sludge and water reuse, and service quality. As a result of analyzing the weights and priorities of the detailed performance indicators in the second stage, it was found that operator's career years, the percentage of certification holding rate in operators, compliance with the effluent water quality standards, training times for operators, and efforts to manage hazardous chemicals were important. Some of the indicators of operation agency performance evaluation may include indicators in which the performance of the company's efforts is underestimated or overestimated. In order to improve this, it is necessary to give weights in consideration of the necessity of the indicator, the relevance of the company's efforts, and the ease of obtaining scores.

• 인간식물환경학회지
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• 제23권4호
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• pp.433-443
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• 2020

Background and objective: The boom in urban agriculture has also resulted in the creation of many school gardens. With the increase in various hands-on education programs, people are interested in assessing the value of school gardens. This study was conducted to derive indicators for service value assessement of educational farming experience using school gardens. Methods: Through literature review, we selected assessment items and sub-factors. The indicators for evaluating the effectiveness of school gardens are classified using the Delphi method that involve a focus group experts. In order to increase the reliability and validity of the selected and classified items, an exploratory factor analysis was conducted. In addition, the relative importance and priority of each factor in each field were assessed using the analytic hierarchy process (AHP). Results: We classified the indicators into 4 criteria and come up with 13 items and 33 sub-factors in educational value, health value, economic value, and ecological and environmental value. Most of the items for the 4 value criteria derived were significant for assessing the value of agricultural experience services with content validity ratio (CVR) higher than 0.59 and reliability higher than .6 . In the value criteria, the experts rated educational value as the most important, followed by health value, ecological and environmental value, and economic value. In the assessment items, the most important was improvement of social functions. In the sub-factors, the most important was strengthening of ties (friendly interactions). Conclusion: Among the derived indicators assessing the value of school gardens, 4 criteria, 12 evaluation items and 29 sub-factors showed significance. The schematic index would be useful for the assessment.

• 한국ITS학회 논문지
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• 제22권2호
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• pp.29-43
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• 2023

재난 및 재해 상황시 이동관리전략을 신속히 마련하기 위해서는 특정 도로구간을 통행하는 교통류의 특징과 도로의 위상학적 구조 등을 사전에 파악해야 할 필요성이 있다. 이는 도로관리자가 미시적 도로단위별로 취약성을 평가한 후 재난·재해 상황에 대비한 적절한 모니터링과 관리방안을 설정하는데 중요한 근거가 될 수 있기 때문이다. 따라서 본 연구에서는 도시부 도로링크별 취약성 평가를 위하여 공간밀도, 시간점유율, 네트워크 매개중심성 지표를 제시하였으며, 거리 및 밀도기반 클러스터링 분석을 통하여 각 링크그룹별로 가지고 있는 시공간 및 위상학적 취약성을 정의하였다. 본 연구를 통해 제시된 결과는 도로 링크를 집단별로 특성화하여 취약성을 관리하는 것에 활용될 수 있으며, 재난·재해 시 우선 통제지점 선정 및 최적경로 제시를 위한 기초자료로도 활용 가능할 것으로 기대된다.

• International Journal of Knowledge Content Development & Technology
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• 제13권2호
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• pp.7-22
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• 2023

The development of rural areas is expected to be holistic covering all essential infrastructure. Community information centres (CICs) are agen- cies that should be part of the infrastructures for rural development. Unfortunately, these centres are hardly seen in rural communities in Nigeria, including Afikpo in Ebonyi State. Thus, this study was conceived to explore the perceptions of citizens towards the establishment of CICs in the locality. It adopted survey research method with questionnaire as instrument for data collection, which was self-developed and validated by experts with a pre-texted reliability index of 0.72. A total of 399 copies of the questionnaire were distributed, out of which 267 copies were properly completed, representing 67% and were used for analysis. Findings revealed that the citizens have overall positive perception to- wards establishing the CICs; they are also knowledgeable of the benefits of such centres. Furthermore, there are workable suggestions on ways of establishing, funding and managing CICs in Afikpo. In addition, about 65% of the respondents indicated interest to assist and support the funding and management of the CICs when established. However, the challenges of inadequate funding and support as well as the possible politics of where to site/locate the CICs in Afikpo, are likely impediments to the project. The study concluded that citizens have strong and positive disposition towards establishing CICs in Afikpo. The implications of such CICs for technological innovations were analysed. The study recom- mends, among others, that government should see the establishment of CICs as priority projects that would significantly contribute to the growth and development of rural communities in Nigeria; communities in Afikpo should explore self-help approach to development; and political representatives from Afikpo should take advantage of establishing CICs as constituency projects for the citizens.

• 한국IT서비스학회지
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• 제22권2호
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• pp.71-92
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• 2023

Globally, under the leadership of advanced ICT countries, the private sector is promoting various policies to promote the digital transformation of public services. Looking at the research trend, design of public service indicators, development of evaluation system, and empirical research are being carried out steadily, but there are insufficient research cases on models in which the private sector participates in the planning, development, and operation of public services. In this study, Private-centric digital public service suitability evaluation indicators were discovered through interviews with experts in various fields, and weights for each indicator were analyzed through AHP evaluation. In addition, by applying the analysis results to 18 digital public services on a trial basis, the importance and priority of evaluation indicators for each service were derived, and at the same time, the evaluation framework was designed and applied to diagnose implications. As a result of the study, 'social utility', 'corporate acceptability', and 'public acceptability' were selected as the top three indicators of suitability evaluation. At this time, it was analyzed that the weight of the 'company acceptability' index, which includes sub-indices such as 'service profitability', 'service scalability', and 'private initiative possibility', was the highest among the three top indicators. As a result of the demonstration for public services, "IoT facility unmanned remote monitoring service", "blockchain real estate transaction service", and "digital twin disaster prediction service" were evaluated as the most suitable public services for the transition to the private sector.

• 대한한방부인과학회지
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• 제22권2호
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• pp.189-208
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• 2009

Purpose: In oriental medicine, doctors have mainly made diagnosis and treatment with amenorrhea or delayed menstrual period based on overall analysis of symptoms and signs patients have. We think patients with amenorrhea or delayed menstrual period to have symptoms that are classified into one differentiation of syndromes, and then studied to make the index. This study has been carried out to investigate pattern identifications and classify symptoms according to them. Methods: We examined 52 patients who visited Dong-eui university oriental medical center from June 2005 to February 2009 for undergoing treatment for amenorrhea or delayed menstrual period and made OB & GY questionnaires up Results: We investigated whether the patients had symptoms concerned with symptom types by analyzing the result of DSOM(Diagnos System of Oriental Medicine, hearafter DSOM). It came out 51 cases among 52 with pathogenesis that was related to the symptom types. The symptom types of were surveyed into Insufficiency of Kidney and Liver(肝腎不足), Insufficiency of Qi and Blood(氣血虛弱), Insufficiency of Yin & Dryness of blood(陰虛血燥), stagnation of Qi and Blood(氣滯血瘀), phlegm and damp(痰濕阻滯), coldness of Blood(血寒), Heat of Heart(心火). Conclusion: As a result of the investigation, one case did not have symptoms of differentiation of syndromes of amenorrhea or delayed menstrual period. 29 cases had 1 or 2 differentiation of syndromes. 21 patients had such complex symptoms of diverse differentiation of syndromes that it was difficult to diagnose a differentiation of syndromes in clinical survey. It is necessary to put the priority among the differentiation of syndromes in diagnosis in the future.

• Journal of Ecology and Environment
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• 제46권1호
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• pp.54-61
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• 2022

Background: In South Korea, African swine fever virus (ASFV) has spread among wild boars through Gangwon-do to Dangyang-gun, Chungcheongbuk-do on the southern border of Gangwon-do. To prevent the spread of ASFV to African swine fever (ASF)-free areas, it is necessary to identify areas with a high probability of finding ASFV-infected carcasses and to reduce the density of wild boars in those areas. In this study, we described the propagation trend of ASFV among wild boars, constructed the habitat suitability maps for ASFV-infected carcasses, and suggested areas with a high probability of finding ASFV-infected carcasses and an important route of ASFV transmission. Results: Despite the active quarantine policies in Korea to prevent the spread of ASFV through wild boars, there was no significant difference in the monthly average of number of ASFV-infected carcasses observed between 2020 and 2021. The ASFV-infected carcasses were found more in winter and spring (January to April). Since the first ASF outbreak in wild boars on October 2, 2019, the maximum width of ASFV-infected carcass distribution area was 222.7 km for about 26 months till November 20, 2021. The habitat suitability map, based on GPS coordinates of ASFV-infected wild boar carcasses, shows that highly detectable areas of ASFV-infected carcasses were sporadically dispersed in western and southwestern parts of Gangwon-do, and ranged from north to south of the province along the Baekdudaegan Mountains, whereas poorly detectable areas ranged along the north to the south in the middle parts of the province. Conclusions: Our suitability model, based on the GPS coordinates of ASFV-infected carcasses, identifies potential habitats where ASFV-infected carcasses are likely to be found and ponential routes where ASFV is likely to spread. Among ASF-free areas, the areas with high suitability predicted in this study should be given priority as survey areas to find ASFV-infected carcasses and hunting areas to reduce wild boar populations.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.75-75
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• 2022

Traditional agriculture mostly focused on activity in the field, but current agriculture faces problems such as reduction of agricultural inputs, labor shortage and so on. Accordingly, traditional agricultural experiments generally considered the simple treatment effects, but current agricultural experiments need to consider the several and complicate treatment effects. To analyze such several and complicate treatment effects, data collection has the first priority. Remote sensing is a quite effective tool to collect information in agriculture, and recent easier availability of UAVs (Unmanned Aerial Vehicles) enhances the effectiveness. LAI (Leaf Area Index) is one of the most important information for evaluating the condition of crop growth. In this study, we utilized UAV with multispectral camera to evaluate plant-based LAI of sweetcorn in a small-scale field experiment and discussed the feasibility of a new experimental design to analyze the several and complicate treatment effects. The plant-based SR measured by UAV showed the highest correlation coefficient with LAI measured by a canopy analyzer in 2018 and 2019. Application of linear mix model showed that plant-based SR data had higher detection power due to its huge number of data although SR was inferior to evaluate LAI than the canopy analyzer. The distribution of plant-based data also statistically revealed the border effect in treatment plots in the traditional experimental design. These results suggest that remote sensing with UAVs has the advantage even in a small-scale experimental plot and has a possibility to provide a new experimental design if combined with various analytical applications such as plant size, shape, and color.

• 유통과학연구
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• 제12권4호
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• pp.31-39
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• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.