• Asian Journal for Public Opinion Research
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• 제10권1호
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• pp.51-73
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• 2022

This study investigated 3.50 million Facebook reactions collected from 9,429 Bangladeshi news items about rape shared on social media from 2016 to 2021. The primary aim of this study was to understand users' different reaction patterns based on the five major Facebook reactions (i.e., love, haha, wow, sad, and angry). Based on the theories of emotion, we quantitatively answer one research question: How do social media users react to rape with the five major Facebook reactions? The results suggest that users are more likely to express disdain toward rape and sympathy toward the victims using Facebook reactions by using the angry button, along with the sad button. In rape news, both reactions are consistent and maintain a strong positive correlation, meaning they increase and decrease together. Although many users tend to mock and laugh at rape incidents and the victims, trend lines suggest that such expressions may not be consistent with time. Despite contextual relevance, we presume that in socially and morally unacceptable events like rape and war, the valences of reactions alter to some extent: angry and sad usually become positive, while love, wow, and haha become negative. Some strengths and limitations of the study are discussed as well.

• 정보보호학회논문지
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• 제25권2호
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• pp.343-361
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• 2015

국내 금융권은 은행창구를 통해 전통적 수신, 여신 상품을 판매하던 구조에서 금융 소비채널의 변화 및 금융상품의 패러다임 변화를 겪으며 무한경쟁시대로 진입하고 있다. 이에 따라, 금융서비스의 개인화는 점점 가속화되고 있으며, 금융 관련 개인정보의 가치는 더욱 높아지고 있다. 2014년 카드사 정보유출사고에서 보았듯이, 대부분의 대형 금융관련 정보유출 사고는 해당 정보에 접근 권한을 가진 인력에 의해 발생한다. 따라서, 이러한 대량의 금융 관련 개인정보에 접근 권한이 있는 인력에 대한 기존의 정보 접근 통제정책 적용기준에 문제는 없는지 확인해 볼 필요가 있으며, 보안사고의 위험도에 영향을 미치는 요인에 따라 정보 접근 통제정책을 보완할 필요가 있다. 본 논문에서는 직무상 대량의 금융 정보에 접근 권한이 필요한 금융IT인력에 대해 직무, 직책 및 접근 정보의 민감도를 기준으로 보안사고의 위험도 측정에 필요한 영향 요인이 무엇인지 양적분석을 수행하고, 분석결과를 반영한 정보 접근 통제정책을 실무적 사례에 적용해 봄으로써 금융IT인력의 보안사고 위험도를 최소화할 수 있는 방안을 제시한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.841-854
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• 2020

The paper explains the method to process, analyze and predict traffic patterns in Los Angeles county using Big Data and Machine Learning. The dataset is used from a popular navigating platform in the USA, which tracks information on the road using connected users' devices and also collects reports shared by the users through the app. The dataset mainly consists of information about traffic jams and traffic incidents reported by users, such as road closure, hazards, accidents. The major contribution of this paper is to give a clear view of how the large-scale road traffic data can be stored and processed using the Big Data system - Hadoop and its ecosystem (Hive). In addition, analysis is explained with the help of visuals using Business Intelligence and prediction with classification machine learning model on the sampled traffic data is presented using Azure ML. The process of modeling, as well as results, are interpreted using metrics: accuracy, precision and recall.

• Environmental Analysis Health and Toxicology
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• 제31권
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• pp.14.1-14.4
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• 2016

A total of 221 patients were evaluated to be humidifier disinfectant associated with lung injury (HDLI) through two rounds of programs through April 2015. The humidifier disinfectant (HD) brands most often associated with HDLI were found to be Oxy (n=151, 68 %) and Cefu (n=26, 17 %). Polyhexamethylene guanidine used for disinfectant for four types of HD brands including Oxy was found to be associated with the highest number of HDLI cases (n=188). Further programs are operating to identify various health effects including lung injury which may be associated with the use of HD. Not only national agencies, but also pertinent environmental health societies should cooperate in the necessary investigations so that this tragedy can be properly addressed and future incidents concerning chemicals and chemical-containing products can be prevented.

• International Journal of Contents
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• 제8권3호
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• pp.71-78
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• 2012

The emergence of the Internet has provided a new outlet for consumers who experience service failure from products and services, augmenting the traditional options of entry, voice and action. Consumers' negative word of mouth through online (word-of-mouse or eWOM) far exceeds traditional word of mouth (WOM) in respect of its potential effectiveness, speed and spread. This paper tries to figure out the service failure themes in the health care industry by analyzing online word-of-mouse using the critical incidents technique (CIT). Complaint themes in the area of healthcare are identified and analyzed. The results identify that major complaint theme differed according to the site type. Also, the findings indicate that delivery and customer services are critical issues when consumer makes negative WOM.

• Journal of Life Science
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• 제12권2호
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• pp.61-74
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• 2002

One of the major aims in studying plant viruses is to minimise the development of symptoms in infected plants. With the advent of in vitro transcript mediated research on plant viruses, substantial progress has been made. This article describes the biology of a plant specific RNA virus, Johnsongrass mosaic virus (JGMV), important to Australian sorghum and corn agriculture and, in particular, at a molecular level which of the RNA sequences in its genome that make it possible for the virus to move from cell to cell, and eventually spread systemically throughout the entire plant. The JGMV has caused considerable yield losses in maize and sorghum over a number of years in Australia. Incidents where 100% of the crop has been infected are on record. The use of this virus is convenient under laboratory conditions because it can be readily transmitted by mechanical inoculation with infected leaf sap, which obviates the need for maintaining aphid colonies. The JGMV is a single stranded positive sense RNA virus.

• Toxicological Research
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• 제24권4호
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• pp.235-243
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• 2008

While in some instances, loss of diversity results from acute toxicity (e.g. major pollution incidents), in most cases it results from long-term sub-lethal effects that alter the relative competitive ability and fitness of certain organisms. In such cases the sub-lethal effects will cause a physiological response in the organism that ultimately leads to community level changes. Very sensitive tools are now available to study sub-lethal responses at the molecular level. However, relating such laboratory measurements to ecological effects represents a substantial challenge that can only be met by investigation at all scales (molecular, individual organism and community level) with an appropriate group of organisms. Among the various in vertebrates which can be used as model organisms in such a way, the soil nematode, Caenorhabditis elegans appear to be a promising biological model to diagnose environmental quality. This paper reviews the current status of multilevel biomarkers in environmental toxicology, and C. elegans as promising organisms for this approach.

• Journal of information and communication convergence engineering
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• 제18권1호
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• pp.49-54
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• 2020

Speed enforcement is one of the major challenges in traffic safety. The increasing number of accidents and fatalities has led governments to respond by implementing an intelligent control system. For example, the Korean government implemented a speed camera system for maintaining road safety. However, many drivers still engage in speeding behavior in blackspot areas where speed cameras are not provided. Therefore, we propose a methodology to analyze the combined accident and speeding data to offer recommendations to maintain traffic safety. We investigate three factors: "section," "existing speed camera location," and "over speeding data." To interpret the results, we used the QGIS tool for visualizing the spatial distribution of the incidents. Finally, we provide four recommendations based on the three aforementioned factors: "investigate with experts," "no action," "install fixed speed cameras," and "deploy mobile speed cameras."

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.1340-1349
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• 2008

This paper suggests to standardize railway accident restoration types as the standardized code and to develop standard operation procedures(SOP) for the efficient railway accident management and recovery system. First of all, occurred damage types as the existing railway accident types in both domestic and foreign cases have been carefully analyzed and then reclassified. Therefore, this study suggested the combination of 3 distinct code factors: restoration class, restoration object, and restoration location to standardize them. In addition, temporary restoration SOP will play a major role in the railway accident batabase management system and SOP for the damage limitation and the prevention of accident spread.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집
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• pp.1412-1425
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• 2009

This paper suggests to standardize railway accident restoration types as the standardized code and to develop standard operation procedures(SOP) for the efficient railway accident management and recovery system. First of all, occurred damage types as the existing railway accident types in both domestic and foreign cases have been carefully analyzed and then reclassified. Therefore, this study suggested the combination of 3 distinct code factors: restoration class, restoration object, and restoration location to standardize them. In addition, temporary restoration SOP will play a major role in the railway accident database management system and SOP for the damage limitation and the prevention of accident spread.