HNS(Hazardous and Noxious Substances)는 해양환경에 유입될 경우 인간 및 해양생물에게 해를 끼치거나, 해양시설에 부식 등의 손상을 입히거나 기타 해역의 이용을 방해할 수 있다. HNS의 규제나 관리를 위해서는 과학적인 방법을 통하여 우선순위 대상의 선정이 필요하며 이러한 방법론으로 CRS(Chemical Ranking and Scoring)기법이 전세계적으로 개발되어 사용되고 있다. 본 연구에서는 해양산업시 설로부터 해양환경으로 배출되는 HNS의 체계적 관리를 목적으로 국내외 CRS 체계를 비교 분석하였으며, 이를 통하여 우선순위 선정 도 출체계를 확립하고 연구대상 지역 및 대상시설을 선정하고 우선순위 선정체계 주요인자를 도출하였다. 또한 주요인자별 세부인자 및 정 량적 배점체계를 구축하였다. 주요인자는 각각 사회적 관심과 이슈(20점), 물질거동(10점), 노출가능성(30점), 독성(35점), 해양이용에의 영 향(5점)을 상대적으로 부여하였으며, 독성과 물질거동 세부인자의 곱을 통하여 100점만점으로 환산가능하도록 적용하였으며, 불확실성점 수(Uncertainty score)와 불확실성 비율(Uncertainty ratio)와 혼합물에 대한 고려방안을 제시하였다. 본 연구결과는 해양산업시설로부터 배출/ 유출되는 HNS 관리를 위하여 우선순위 선정시 활용될 수 있을 것으로 기대된다.

In recent years, an array of studies has focused on ‘translationese’ (i.e., unique features that manifest in translated texts, causing second language (L2) writings to be similar to translated texts but different from native language (L1) writings). This intriguing linguistic pattern has motivated scholars to investigate potential markers for predicting the divergence of L1 and L2 texts. This study builds on this work, evaluating the feature importance ranking of specific translationese markers, including standardized type-token ratio (STTR), mean sentence length, bottom-frequency words, connectives, and n-grams. A random forest model was used to compare these markers in L1 and L2 academic journal article abstracts, providing a robust quantitative analysis. We further examined the consistency of these markers across different academic disciplines. Our results indicate that bottom-frequency words are the most reliable markers across disciplines, whereas connectives show the least consistency. Interestingly, we identified three-word lexical bundles as discipline-specific markers. These findings present several implications and open new avenues for future research into translationese in L2 writing.

The water supply facilities of Korea have achieved a rapid growth, along with the other social infrastructures consisting a city, due to the phenomenon of urbanization according to economic development. Meanwhile, the level of water supply service demanded by consumer is also steadily getting higher in keeping with economic growth. However, as an adverse effect of rapid growth, the quantity of aged water supply pipes are increasing rapidly, Bursts caused by pipe aging brought about an enormous economic loss of about 6,161 billion won as of 2019. These problems are not only worsening water supply management, also increasing the regional gap in water supply services. The purpose of this study is to classify hazard evaluation indicators and to rank the water distribution network hazard by cluster using the TOPSIS method. In conclusion, in this study, the entropy-based multi-criteria decision-making methods was applied to rank the hazard management of the water distribution network, and the hazard management ranking for each cluster according to the water supply conditions of the county-level municipalities was determined according to the evaluation indicators of water outage, water leakage, and pipe aging. As such, the hazard ranking method proposed in this study can consider various factors that can impede the tap water supply service in the water distribution network from a macroscopic point of view, and it can be reflected in evaluating the degree of hazard management of the water distribution network from a preventive point of view. Also, it can be utilized in the implementation of the maintenance plan and water distribution network management project considering the equity of water supply service and the stability of service supply.

This study was conducted to investigate the effect of the power ranking of mares on their offspring’s stereotypies and response behaviors against a restraining of their desire to eat. Nine horses (2-4 years old) - three offspring born from three Haflinger mares over 3 years - were assigned to three experimental groups (High, Middle, Low) divided by the power ranking of mares. Three mares had no oral or locomotor stereotypic behaviors, but the higher the power ranking of mares, the more diverse and longer the duration of the oral stereotypies of their offspring (p<0.05). Although the offspring born from the high-ranking mare vigorously continued oral stereotypies until 3-4 years of age, there were no individuals that progressed to chronic locomotor stereotypies such as crib-biting, weaving, and box-walking. With an increase in the power ranking of the mare, the response of her offspring to the restraining of the eating desire (measured in terms of the frequency of the oral and locomotor stereotypies) increased (p<0.05). In conclusion, the oral stereotypies shown in this study are characteristic behaviors that occur during the growth process. However, in the case of riding horses, the offspring of a high-power ranking mare and/or one that reacted excessively against restrains, may be better observed and treated in a stall to manage stereotypic behaviors and correct the behaviors at their initial stage.

Recognition that R&D (Research and Development) project is important for national competitiveness and sustainable economic growth has been extended all over the world, and the government financial support for R&D projects has increased. Therefore, government needs to make a decision about whether it invests in any project or not, and this decision-making complies with evaluation of the relevant experts. In this study, we improve project selection methods and procedures based on outranking methods which have mainly focused on general project environmental analysis in order to apply to the government support R&D project selection, and suggest R&D project selection methods and procedures that meet the purpose of government support. Therefore, it demonstrates that improved methods organize more profitable project groups to the purpose of the selecting government support R&D project than existing methods. Also, it illustrates that it is possible for decision makers to analyze variously by changing composition of selecting project group with variation of α.

A wireless sensor network is emerging technology and intelligent wireless communication paradigm that is dynamically aware of its surrounding environment. It is also able to respond to it in order to achieve reliable and efficient communication. The dynamical cognition capability and environmental adaptability rely on organizing dynamical networks effectively. However, optimally clustering the cognitive wireless sensor networks is an NP-complete problem. The objective of this paper is to develop an optimal sensor network design for maximizing the performance. This proposed Ranking Artificial Bee Colony (RABC) is developed based on Artificial Bee Colony (ABC) with ranking strategy. The ranking strategy can make the much better solutions by combining the best solutions so far and add these solutions in the solution population when applying ABC. RABC is designed to adapt to topological changes to any network graph in a time. We can minimize the total energy dissipation of sensors to prolong the lifetime of a network to balance the energy consumption of all nodes with robust optimal solution. Simulation results show that the performance of our proposed RABC is better than those of previous methods (LEACH, LEACH-C, and etc.) in wireless sensor networks. Our proposed method is the best for the 100 node-network example when the Sink node is centrally located.

Assessment of noise exposed population is to check the environment noise level and social influence in order to reduce the risks such as annoyance and disturbance that are generated by environmental noise. Also, this method suggests the preferential noise abatement policy and action plan by accurately finding the area that the noise causes harmful effect to human health. Recently, a noise map, which can predict noise in comprehensive area, is used for the assessment of noise exposed population, breaking from the methods using existing measures. In particular, countermeasure for noise can be considered more effectively by using assessment methods of noise exposed population for specific noise level, area, and building types which are the main input factors in noise maps. In this study, we propose noise reduction ranking decision at ship construction and repair process due to noise map.

Assessment of noise exposed population is to check the environment noise level and social influence in order to reduce the risks such as annoyance and disturbance that are generated by environmental noise. Also, this method suggests the preferential noise abatement policy and action plan by accurately finding the area that the noise causes harmful effect to human health. Recently, a noise map, which can predict noise in comprehensive area, is used for the assessment of noise exposed population, breaking from the methods using existing measures. In particular, countermeasure for noise can be considered more effectively by using assessment methods of noise exposed population for specific noise level, area, and building types which are the main input factors in noise maps. In this study, we propose noise reduction ranking decision at manufacturing process of metal material products due to noise map.

본 연구는 축산식품과 식중독 세균 조합의 위험순위 결정을 위한 방법으로 축산식품 관련 식중독사고 보고서(2008-2012년 자료), 축산식품 전문가의 견해, 반 정량적 위해평가 도구인 Risk Ranger 를 이용하여 문헌자료를 분석 그 결과를 비교하였다. 본 연구결과에 따르면 지난 2008년-2012년 기간 동안 국내 축산식품에서 식중독 발생 빈도가 높았던 주요 원인균은 Salmonella, Pathogenic E. coli, C. jejuni 순으로 나타났으며 Salmonella 식중독의 주요 원인 식품은 계란인 것으로 보고되었다. 그러나 국내에서 우선적으로 관리가 필요하다고 생각되는 식중독 세균/축산식품조합에 대해 축산식품 전문가들은 가장 우선적 위해 관리가 필요한 Top 5순위 중 첫 번째로 Campylobacter/계육을 제시하였고 그 다음으로 Salmonella/식용란 및 알가공품, Enterobacter sakazakii/조제분유, Pathogenic E. coli/분쇄가공육, Pathogenic E. coli/식육을 선정하였으며 Salmonella 는 식육보다는 식용란 및 알 가공품에서 우선적 위해관리가 필요함이 제시되었다. 또한 분쇄가공육, 소시지 및 햄류에 대해서는 Cl. perfringens, L. monocytogenes, S. aureus 의 3가지 병원성 미생물들의 위해관리의 필요성이 제시되었다. 또한 국외에서 개발된 반 정량적 미생물 위해평가 도구인 Risk Ranger 를 이용하여 국내 식중독발생 통계자료 및 전문가 의견 설문조사 등과 비교 분석한 결과, Risk Ranger 는 식품과 미생물 조합의 위험 순위를 간단하게 평가할 수 있는 장점이 있으나 Risk Ranger 의 결과에 영향을 주는 입력변수에 필요한 데이터가 없을 경우에 최종결과를 신뢰하기에 한계를 보였다. 특히 국내에서는 축산식품 원재료에 대해 식중독 세균의 정량적 오염수준 및 공정에 따라 오염수준에 미치는 효과에 대한 자료가 매우 부족한 것으로 나타났는데 Risk Ranger 결과, 위해순위가 0으로 나타난 경우를 분석해 보면 모니터링 자료가 없거나, 섭취 전의 조리를 통해 99% 가열이 가능한 경우였다. 최종적으로 본 연구에서는 축산식품관련 식중독 발생 통계자료, 전문가의견, Risk Ranger 분석결과를 종합적으로 분석하여 식중독 세균/축산식품 조합에 대한 위해평가 및 관리 우선대상을 순위별로 그룹화하였다. 식중독 사고 발생 및 위해 가능성이 가장 높은 위험그룹 I 에는 Salmonella spp./식용란 및 알 가공품, Campylobacter spp./계육, Pathogenic E. coli/식육 및 분쇄가공육이 선정되었으므로 차후 이들 제품에 대한 정량적 위해평가 연구가 필요할 것으로 사료된다. 본 연구결과는 차후 축산식품 및 그 가공품에 대한 정량적 미생물 위해평가의 효율성을 높이고 우선 관리 대상에 대한 과학적 근거 자료를 제시할 수 있을 것으로 사료된다.

본 연구는 기후변화와 관련하여 미생물학적 식품안전상쉽게 영향 받을 수 있는 식품과 관련 식중독세균을 결정하는데 이용할 수 있는 Risk Ranger를 활용한 Excel spreadsheet상의 모델을 개발하였고, 모델 입력값은 자료의 부족으로전문가 설문을 통해 결정하였으며, 확률분포모델과 @RISK를 이용한 시뮬레이션을 통해 실제 국내 식품중 기후변화에 대한 민감할 것으로 예상되는 상위 5개 식품군과 이들식품과 관련된 주요 식중독 원인균을 결정하였다. 추정결과, 상위 5종 식품과 관련 식중독 세균으로는 즉석섭취식품류(RTE) (황색포도상구균, 살모넬라, 병원성대장균 O157:H7)가 가장 큰 영향을 받을 것으로 나타났으며, 다음이 떡류 및 빵류 (황색포도상구균, 바실러스 세레우스), 식육 및알가공품 (살모넬라, 병원성대장균 O157:H7, 황색포도상구균), 두부류 또는 묵류 (바실러스 세레우스, 병원성대장균O157:H7, 황색포도상구균)였으며, 마지막으로 어육가공품(황색포도상구균, 비브리오, 병원성대장균 O157:H7)의 순으로 나타났다.

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.

본 연구는 정보 검색 과제별 주요 적합성 판단 기준을 실제 정보 검색 시스템으로 구현해 보고 사용자 평가를 통해 그 효과를 검증해 보고자 하였다. 이를 위해, 사용자 적합성 판단 기준들을 정보 검색 시스템에서 적합성을 결정하는 검색 랭킹 모델의 랭킹 요소들로 적용하였다. 그리고 정보 검색 과제별 차이가 있는 동적 검색 랭킹 모델과 차이가 없는 정적 검색 랭킹 모델을 시스템으로 구현하였고, 이에 대한 사용자 평가를 진행하여 비교해 보았다. 총 45명의 참가자가 실험에 참여하였고, 정보 검색 과제별 차이가 있는 동적 검색 랭킹 모델과 차이가 없는 정적 검색 랭킹 모델이 적용된 각각의 검색 시스템에서 3개의 검색 과제를 수행하였다. 3개의 정보 검색 과제로는 사실 검색 과제, 문제 해결 검색 과제, 의사 결정 검색 과제가 사용되었다. 각 참가자는 검색 결과 첫 페이지 상위 5 개의 검색 결과에 대해 적합성 정도를 7 점 척도로 평가하였다. 그 결과, 사용자는 전반적으로 모든 검색어에 동일하게 반응하는 정적 검색 랭킹 모델을 적용한 시스템보다 정보 검색 과제별로 사용자 적합성 판단기준의 변화에 따라 랭킹 요소 가중치를 달리한 동적 검색 랭킹 모델을 더 높이 평가하는 것을 확인할 수 있었다. 본 연구는 이를 통해, 정보 검색 과제를 고려한 정보 검색 시스템 디자인의 필요성과 함께, 사용자 중심 적합성 판단 모형 연구 결과를 실제 정보 검색 시스템으로 구현하여 평가함으로써 사용자 중심 적합성 연구 결과의 타당성을 검증하였다는 점, 그리고 사용자 연구 접목을 통한 시스템 개선의 중요성을 강조하였다는 점에서 의의를 가진다.

Risk ranking must be determined for various hazards/food combinations to conduct microbial risk management effectively. Risk Ranger is a simple, easy-to-use calculation tool developed in Microsoft Excel and designed to rank the risk (low, medium, and high) for semi-quantitative microbial risk assessment. The user is required to answer 11 questions in Risk Ranger related to 1) severity of the hazard, 2) likelihood of a disease-causing dose of the hazard being present in the meal, and 3) the probability of exposure to the hazard in a defined time. This study determined the risk ranking for twenty three combinations of foodborne pathogens/potentially hazardous foods (PHFs) using a Risk Ranger. In this study, pathogenic E. coli in fresh cut produce salad was scored as 79, which was the highest rank among the 23 combinations of the foodborne pathogens and PHFs. On the other hand, zero risk was obtained with V. parahaemolyticus in sushi, Salmonella in meat products and E. coli O157:H7 in hamburger patties. Although Risk Ranger is very simple method to rate the risk of foodborne pathogens and PHFs combination, the accuracy of result was mainly affected by the availability and accuracy of data in the literature. According to the result of literature review, the data are needed for contamination rate of raw materials, consumption amount/frequency of PHFs, and the effect of processing on pathogen. Risk ranking must be continuously revalidated with new data.

The objective of this study is to develop an evaluation model for the National highway risky areas. Thus, for the purposes of doing this, National highway risky area evaluated targeting to provide determination ranking and suggesting rival-superiority factors as well as under-inferiority factors in ten National highway risky areas. This study developed for modules of risky areas evaluation, using fuzzy set theory and analytic hierarchy process for evaluation model of National highway risky area in transport environment. The preceding studies assess risk analysis through analysis of causal relationships by National highway safety sector not only handles rating scale development suitable for assessment area by referring to accident frequency model but also geometric structures model. As result of this study, this model of Fuzzy Ahp Risk Analysis (FARA) apply for programmable design in real time processing through easily derive strategy for improvement activities to provide a decision-making effectively. Furthermore, this study contributes frame for improvements of National highway construction for renovation's priority strategy as well as future's policy schemes.

The risk ranking of food groups included the Korea Food Code is a potentially powerful means to prioritize food safety management strategies. Although the interest in risk ranking of food groups has been increasing worldwide, there was, until recently, no standard system in Korea for the risk ranking of food groups. This study was conducted to rank food groups using theoretically estimated comparative risk scores of 101 food groups included the Korea Food Code. These scores were estimated using the risk evaluation model, which focuses on 3 aspects, namely, exposure assessment, severity assessment, and consumption part. The results of this study revealed that the risk was the highest in the case of ready-to-eat (RTE) food items, followed by fish products and breads. Using this ranking system, we can identify the food with high risk scores and design risk management strategies targeted specifically at these items.

본 연구는 우리나라 RCC/RSC의 효율성을 2개의 입력변수와 5개의 출력변수로 한 토대로 퍼지 DEA를 이용하여 측정 평가하였다. 특히, 본 연구에서는 해양사고 발생자료 뿐만 아니라 환경스트레스치에 의한 잠재적 해양사고 발생가능 자료도 고려하여 운영효율성을 분석하였다. 한편, 현실자료에는 수많은 애매성이 존재하기 때문에 본 연구에서는 DEA법에 퍼지이론을 이용한 퍼지 DEA법을 이용하였다. 이 퍼지DEA법은 α-cut을 기반으로 한 크리습 선형계획문제로 변환된 것으로 입/출력 변수를 삼각형 퍼지수로 하여 해를 산출하는 방법을 제안하였고, 제안된 퍼지 DEA를 이용하여 퍼지 RCC/RSC의 순위를 결정하였다. α-cut을 0.5로 하여 효율성을 산출한 결과 YS, BS, MP, TY, JJ, PH, US, IC, SC, DH, GS, TA, WD RCC/RSC 순으로 효율성이 높게 나타났다. 따라서 효율성이 비교적 낮게 평가된 TA, WD RCC/RSC는 효율성이 높은 준거집단을 참조하여 벤치마킹을 해야 할 필요가 있다.

There are two approaches for evaluating two or more investment projects. One is a total investment approach and the other is an incremental investment approach. We present that ranking projects by the latter is not sufficient for an investor to accept the