• Journal of Food Hygiene and Safety
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• v.27 no.4
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• pp.349-355
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• 2012

In this study, we configured a system which ranks hazardous chemicals to determine their management priorities based on experts' opinions and the existing CRS (chemical ranking and scoring). Aggregate exposure of food, health functional food, oriental/herbal medicine and cosmetics have been taken into account to determine management priority. In this study, 25 hazardous chemicals were selected, such as cadmium, lead, mercury, and arsenic, etc. These 25 materials were ranked according to their 1) risk (exposure or hazard) indexes, 2) exposure source-based weight, and 3) public interests, which were also formed based on the existing priority ranking system. Cadmium was scored the highest (178.5) and bisphenol A the lowest (56.8). Ten materials -- cadmium, lead, mercury, arsenic, tar, acrylamide, benzopyrene, aluminium, benzene, and PAHs -- scored higher than 100. Eight materials -- aflatoxin, manganese, phthalate, chromium, nitrate/nitrite, ethylcarbamate, formaldehyde, and copper -- recorded scores in the range from 70 to 100. Also evaluated as potential risks were 7 materials; sulfur dioxide, ochratoxin, dioxins, PCBs, fumonisin, methyl mercury, and bisphenol A, and these materials were scored above 50. Then we compared risk index and correlation coefficient of total scores to confirm the validity of the total scores; we analyzed correlation coefficient of parameter and indicator. We discovered that the total score and weight, which has incorporated public interests, were high and statistically significant. In conclusion, the result of this study contributes to strengthening risk assessment and risk management of hazardous chemicals.

• Proceedings of the Korean Geotechical Society Conference
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• 2008.03a
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• pp.858-862
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• 2008

KICT has been carrying out inventory research on the cut slopes of national roads. Inventory research results are basic data used in cut slope management system. Inventory data are classified by general status, cut slope characteristics and inspector opinion. Cut slope inventory data are utilized to figure out dangerous slopes and decide survey ranking of detailed safety diagnostication. This paper drew the distribution of dangerous cut slopes using inventory data in Chungcheongdo, then verified an efficiency on distribution of dangerous cut slopes by comparing occurrence frequency of real collapsed cut slopes.

• Journal of Korean Society of Rural Planning
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• v.13 no.4
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• pp.53-67
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• 2007

This study analyzed the probability that experiment stations, agricultural technology and extension centers, provincial agricultural research and extension services, central government organs, or civilian and other related organs will be the first choice of the compositional subjects of local innovation networks. While gender effect was statistically insignificant, educational level, income, main acquired information, sources of necessary information, and frequency of information acquisition sessions were significant, and the preference ranking model was highly relevant. According to the analysis, highly academic and business-related information was most likely to be acquired from the civilian sector; agricultural technology such as technology, crops/plants, storage, and circulation was most likely to be acquired from experiment stations and provincial agricultural research and extension services; and information on agricultural production was most likely to be acquired from agricultural technology centers.

• Journal of Construction Engineering and Project Management
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• v.5 no.1
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• pp.20-25
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• 2015

Interface management problems inherent in construction projects hamper their successful delivery. Therefore, this study aimed at determining the most important project interfaces in construction works in Nigeria in terms of most significant potential impacts, so that management attention are objectively focused on potential highest impacting project interfaces. From a review of literature, 28 project interfaces management issues were identified and categorized. Structured questionnaires were used to collect data concerning the impact (estimated losses to the project in terms of cost) and probability of occurrence of the identified interfaces. The interfaces were ranked using their computed Matrix Scores (MS). The results reveal that "project-workers interfaces problem manifested in use of inappropriate mixes" is the highest impacting. A ranking of the interface categories also reveal that the interfaces at the execution phase of a project (MS = 1226.79) are those that could result in the highest losses to the project.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.405-409
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• 2021

자연어 추론은 전제가 주어졌을때 특정 가설이 전제에 기반해 합당한지 검증하는 자연어 처리의 하위 과제이다. 우리는 질의응답 시스템이 도출한 정답 및 근거 문서를 자연어 추론 모델로 검증할 수 있다는 점에 착안하여, HotpotQA 질의응답 데이터셋을 자연어 추론 데이터 형식으로 변환한뒤 자연어 추론 모델을 학습하여 여러 질의응답 시스템이 생성한 결과물을 재순위화하고자 하였다. 그 결과로, 자연어 추론 모델에 의해 재순위화된 결과물은 기존 단일 질의응답 시스템의 결과물보다 대체로 향상된 성능을 보여주었다.

• Journal of Information Technology Applications and Management
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• v.14 no.1
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• pp.117-135
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• 2007

Globalization changes in market structures and consumer needs, as well as technology innovations force organizations to adopt new structures and collaborative networks to cope with rapidly changing environments. These Collaborative Networks are based on the Idea of virtual enterprise. A virtual enterprise(VE) is a temporary alliance of globally distributed independent enterprises that share core competencies and computer networks. This paper presents a proposal for a methodology to measure a key factor of success and risk First of all, we chose thirty experts' defines on virtual enterprise, fifteen are academic specialist and other fifteen are from industry. For this study we define twenty two factors determining VE's success and seventeen factors determining VE's risk using by Delphi method. And we built the influence model on virtual enterprise. A research model was established according to preceeding research and consensus on experts then the revised model of key factors on virtual enterprise. This survey was based on the Analytical Hierarchy Process (AHP). AHP is an approach to decision making that involves structuring multiple choice criteria into a hierarchy, the assessing the relative important of these criteria, comparing alternative for each criteria, and determining an overall ranking of the alternatives. A model was constructed as 3 level hierarchy. The hierarches are organizational, strategic, technical criteria. for success model on VE has 22 factors and 17 factors for risk model. They are selected by all 30 experts. 14 copies among 30 copies distributed to carry out on the Analytical Hierarchy Process (AHP). Consistency ratio confirm high validity and reliability of instrument and support theoretical model. The results of this study are summarized as follows. (1) This study presented success on VE influenced strategic criteria, and essential factor is Creating a value. Risk on VE influenced strategic criteria, and essential factor is Outcome/Distribution. (2) Its enable that ranking the criteria influence on VE. These are supported VE management and using guideline of VE.

• Journal of Korea Technology Innovation Society
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• v.12 no.3
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• pp.614-637
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• 2009

To enhance the efficiency of national R&D programs, it is the most important thing to establish the optimized evaluation system. This is because the distorted evaluation could be an obstacle to select the best suited research team and lead the desirable research result. In current evaluation process of national R&D program, it is the most frequently used method for eliminating an evaluator's biased view to exclude both the maximum and minimum scores. However, there are several limitations in this stereotype method. Therefore, this study analyzes some real cases to derive the problems from the stereotype method and then recommends the complementary alternatives which can enhance the reliability of the evaluation system for national R&D programs. The results acquired from this study seem to be helpful to increase the agreement of the applicants on the evaluation results and ultimately to maximize the efficiency of national R&D program. In addition, they can be applied to various field with respect to the methodology for ranking decision.

• Journal of Information Technology Services
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• v.12 no.3
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• pp.231-252
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• 2013

The Republic of Korea has made major strides in Information and Communication Technology (ICT) over the last five decades. After going through continuous efforts in e-Government and national informatization, Korea has become one of the global E-government leaders. Korea's E-government Development Index ranking assessed by the United Nations improved from 15th in 2001 to the top in 2010 and 2012 out of 192 countries worldwide, and its E-participation Index ranking was also ranked 1st in 2010& 2012. In addition, many of Korea's E-government practices until now have been introduced to the world as the best cases and received worldwide acknowledgement. The importance of official development aid/assistance (ODA) through informatization is especially gaining attention as Korea has joined the OECD Development Assistance Committee (DAC) and its status has significantly improved within international organizations. The Korean government has selected countries that have high potential in trade, economic, and E-government cooperation or those that are selected as ODA priority countries by the international community and has carried out various activities including ICT consultation, ICT Cooperation Center operation, and ICT learning programs. With joining the OECD DAC, Korea's overseas aid projects are expected to increase and be carried out in a more systematic manner. Also in the area of informatization, the importance of not only the overseas aid 'in ICT' itself but also the overseas aid 'through ICT' is increasing along with the expanding scale for more efficient and influential support. The Korean government's comprehensive reach of international projects in the ICT arena, aims to foster the global partnership for development by sharing and expanding the benefits of ICTs. The Korean government recognizes its advances and has endeavored to share them with others through participation in international forums and hosting of workshops.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.275-281
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• 2015

Korea's e-government is the world best system and the open government data field is also ranking number 1 by UN evaluation. Therefore Korea's ICT level is ranking number 1 in the world especially in ICT (Information Communication Technology). However, in terms of national ICT capabilities, national ICT competency education is tend to perform by the simple list of courses rather than detail definition of the specific skills or training. In this paper, we define the national ICT capabilities through research and analysis of the national ICT competency model and define the relevant curriculum. This is very important to develop national ICT competency as well as ICT technologies because other countries will develop their information by learning from Korea's ICT and e-government as a model. Therefore, we firstly study about the national ICT competency model and will be drawn from the courses required for national ICT competency model.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.1-10
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• 2018

This study is to seek to find the importance of next digital marketing factors by using AHP method and analyze comparison between an advertising expert and a non-advertising expert. In results, the relative importance ranking is as follows; combination (0.26), transformation (0.259), optimization (0.243), and technology (0.238). The relative importance ranking of sub-factors is as follows: artificial intelligence and maching learning (0.086), big data (0.085), and contents curation (0.060). While the relative importance of combination and optimization for an advertising expert is higher than for non-advertising expert, the relative importance of transformation and technology for non-advertising is higher than for an advertising expert. This study provides managerial implication to build digital strategy based on these result.