• Journal of Agricultural Extension & Community Development
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• v.23 no.4
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• pp.471-481
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• 2016

The purposes of this study were to analyze the long-term trends for the outlook for job development in the forestry sector and to identify supply and demand on job markets. Due to the results of the studies of the forest area would be focused on area of forest therapy and guide, forest biomass research, researcher on prevention & control of forest pests, technician for forest protection, expert in forest disaster prevention, investigating of overseas tree species, and similarly the qualification items should be given more in trees and or bio-energy producer, forest saver and preventer, forest therapist and guide, tree pesticide doctor, forestry job regulator, etc. The main implication of the study result is that the reason of climate changes, environment pollutions and green-energy productivity would push the conditions of job market trend in forest workforce area.

• Journal of The Korean Society of Agricultural Engineers
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• v.59 no.3
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• pp.11-19
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• 2017

The decision-making process is the act of finding the best solution among various alternatives through comparison between various criteria based on objectives of the project, evaluation standard, and conditions. However, in practice it is not easy to simply decide the optimum decision, especially for selecting malfunctioning reservoirs because no systematic evaluation criteria or standard assessment process are available. Therefore, this study adopted AHP method, which is a MCDM (multi-criteria decision making technique) to identify the malfunctioning reservoirs for efficient management of reservoirs. Important criteria of the selection of malfunctioning reservoirs and priority weights of each criteria were determined based on results of expert's survey under a stepwise hierarchical approach. The most important factor for the decision of malfunctioning reservoirs was obtained as Reservoir efficiency among the selected criteria including Reservoir efficiency decrease, Disaster Risk, Reservoir efficiency, Available water storage, Future water demand, Resident Needs. The AHP technique was applied on 11 reservoirs in Andong region to verify its applicability. Scoring method was applied for the comparison with the results of AHP method.

• Journal of the Korean housing association
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• v.16 no.3
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• pp.59-68
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• 2005

The purpose of this study was to find out the new directions of Korean rural village remodeling policy based on the representatives' needs in 32 rural villages. The villages were selected by accessibility, type of village construction, geographic characteristics of rural area, and administrative district. The interview data were collected from the representatives of each village. By analyzing the qualitative and the quantitative data, the following conclusions were derived: 1) The village remodeling program should be performed with a long schedule plan, flexible budget, and residents' participation. 2) In new villages, the post village management system should be set up in order to conserve the rural environment. 3) Above all, the expert service system based on government support should be done. The experts would guide residents by consulting about village tour, village viewscape of houses and facilities, and the merchandising of the village's specialized resources. 4) The rural village remodeling program should be carried out on the base of the sense of community and the elderly life.

• Journal of Agricultural Extension & Community Development
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• v.17 no.3
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• pp.607-637
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• 2010

The goal of this study is to develop a skill system for the areas of agriculture, forestry and fisheries among the skill frameworks that require basic examination in the development of skill standards. More specifically, the study aims to classify skills in the areas of agriculture, forestry and fisheries and to develop respective skill level. We classified skills and created the skill level through a study of documents, interview with experts and in-depth discussions with expert group centering on terminologies commonly used in the industrial settings. As a result of skill classification, we were able to classify skills into four categories in medium-scale classification, 13 categories in small-scale classification, and again into total 42 categories. We classified the skill level in the areas of agriculture, forestry and fisheries into 8 stages. Based on the skill system, we provided definition of skill and skill group, definition of each different skill, and performance standard by skill and level.

• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.221-232
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• 2016

This study aims to improve the Korean Farmers' Occupational Disease and Injury Survey (KFODIS), using the questionnaire improvement model, and systematic appraisal tools. The questionnaire improvement model comprises three stages: pretesting, redesign, and field-testing. The survey was evaluated by 13 expert reviewers, using a modified version of the Questionnaire Appraisal System (QAS-99). Based on the results of pretesting, survey questions were modified at a group meeting of experts. To identify potential issues with the improved survey questions, data were collected from 20 interviews and 31 respondents before behavior coding analysis was conducted. The questionnaire improvement model and systematic appraisal tools were useful in identifying, evaluating, and correcting miscommunication and other similar issues in the KFODIS.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.4204-4222
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• 2015

Cloud is the latest buzz word in the internet community among developers, consumers and security researchers. There have been many attacks on the cloud in the recent past where the services got interrupted and consumer privacy has been compromised. Denial of Service (DoS) attacks effect the service availability to the genuine user. Customers are paying to use the cloud, so enhancing the availability of services is a paramount task for the service provider. In the presence of DoS attacks, the availability is reduced drastically. Such attacks must be detected and prevented as early as possible and the power of computational approaches can be used to do so. In the literature, machine learning techniques have been used to detect the presence of attacks. In this paper, a novel approach is proposed, where intelligent rule based feature selection and classification are performed for DoS attack detection in the cloud. The performance of the proposed system has been evaluated on an experimental cloud set up with real time DoS tools. It was observed that the proposed system achieved an accuracy of 98.46% on the experimental data for 10,000 instances with 10 fold cross-validation. By using this methodology, the service providers will be able to provide a more secure cloud environment to the customers.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.483-490
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• 2021

The COVID-19 pandemic has posed significant community challenges towards higher education around the world. The urgent and unexpected request for full-time university courses to switch over to online teaching was a particular challenge. Online learning and learning imply a certain pedagogical knowledge content (PKC), mainly related to the design and organization for better learning and the creation of unique learning environments using digital technologies. With the help of the present academic paper, we provide some expert opinion on the PKC connected with online learning with the aim of helping non-university professionals (that is, those with lack of online learning experience) navigate these challenging times. Our findings point to the planning of learning activities with certain features, a combination of three types of presence (social, cognitive and facilitative) and the need to adapt the assessment system to new learning requirements. We will conclude by contemplating on how responding to a crisis can improve teaching and learning practices in the post-digital era.

• Journal of Korean Society of Rural Planning
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• v.24 no.4
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• pp.81-88
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• 2018

With the increase of the number of riverfront development projects an objective and systematized survey and assessment tool is required to understand and identify the characteristics and potentials of river environment for human uses. The purpose of this study was to develop an assessment system for the investigation and evaluation of the water-friendly environment and to examine its effectiveness by applying the system to the selected study sites. Literature reviews, expert consultation, and preliminary survey were conducted to select highly relevant indexes to evaluate water-friendliness in rivers and, as a result, an assessment system of ten items in four areas was established. The assessment system were applied to 139 reaches of six rivers including Bykgye Cheon, Seom River, Gap Cheon, Yudeng Cheon, Naesung Cheon, and Kumho River. The scores and grade of water-friendliness were calculated per rivers and reaches, and their differences were prominent according to urban river, rural river, mountainous area and city area. Bykgye Cheon and Naesung Cheon got high scores in visual quality and Kumho River and Gap Cheon in community needs and potential uses. The scores of each section in the same river can be used as a basic data for the selection of appropriate sites for the development of hydrophilic space. In addition, it is expected that identifying the characteristics of each river help establish an appropriate management plan for the river.

• Nuclear Engineering and Technology
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• v.51 no.5
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• pp.1297-1306
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• 2019

Probabilistic safety assessments (PSA) have been used for several decades to visualize the risk level of commercial nuclear power plants (NPPs). Since the role of a human reliability analysis (HRA) is to provide human error probabilities for safety critical tasks to support PSA, PSA quality is strongly affected by HRA quality. Therefore, it is important to understand the underlying limitations or problems of HRA techniques. For this reason, this study conducted a survey among 14 subject matter experts who represent the HRA community of domestic Korean NPPs. As a result, five significant HRA issues were identified: (1) providing a technical basis for the K-HRA (Korean HRA) method, and developing dedicated HRA methods applicable to (2) diverse external events to support Level 1 PSA, (3) digital environments, (4) mobile equipment, and (5) severe accident management guideline tasks to support Level 2 PSA. In addition, an HRA method to support multi-unit PSA was emphasized because it plays an important role in the evaluation of site risk, which is one of the hottest current issues. It is believed that creating such a catalog of prioritized issues will be a good indication of research direction to improve HRA and therefore PSA quality.

• Advances in Energy Research
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• v.6 no.1
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• pp.17-33
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• 2019

This study aimed to observe trends in the literature on research, development, and innovation management in the energy sector, using performance assessment systems. The paper presented a bibliometric analysis of 40 studies on the subject. These materials come from ScienceDirect, Scopus and the Institute of Electrical and Electronics Engineers (IEEE) databases from 2006 to 2016. The results showed an increasing trend in the number of publications on the theme, showing the scientific community's interest in the subject. In addition, it was verified that the predominant language used to write the publications was English, the country that most published articles in the area was Brazil and most of the articles were produced through collaboration between researchers. It was found that the journal with the greatest number of publications on the subject was the Procedia - Social and Behavioral Sciences, while the Expert Systems with Applications journal presented the article with the greatest number of citations. This analysis allowed us to identify important points of the research and its future directions, in addition to enabling a better understanding of the world trend of the subject approached.