KINAC (Korea Institute of Nuclear Non-proliferation and Control) is entrusted with the NSSC (Nuclear Safety And Security Commission) to conduct threat assessments for nuclear facilities. As part of the threat assessment, DBT (Design Basis Threat) must be established every three years, and a threat assessment report must be developed for DBT establishment. This paper suggests a method for collecting and analyzing cyber threat information for the development of a cyber security threat assessment report. Recently, cyber threats not only in the IT (Information Technology) field but also in the ICS (Industrial Control System) field are rapidly increasing. As cyber threats increase, threat information including related attack techniques is also increasing. Although KINAC is conducting a threat assessment on cyber security at nuclear facilities, it cannot collect and analyze all cyber threat information. Therefore, it is necessary to determine a reliable source of threat information for threat assessment, and establish a strategy for collecting and analyzing threat information for DBT establishment. The first method for collecting and analyzing threat information is to first collect threat information on industrial fields with high similarity to nuclear facilities. Most of the disclosed cyber threat information is in the IT field, and most of this information is not suitable for closed-network nuclear facilities. Therefore, it is necessary to first collect and analyze threat information on facilities that use networks similar to nuclear facilities such as energy and financial sector. The second method is to analyze the attack technique for the collected threat information. The biggest factor in DBT reset is whether there is a new threat and how much it has increased compared to the existing threat. Therefore, it is necessary to analyze which attack technique was used in the collected threat information, and as part of the analysis, a cyber attack analysis model such as a kill chain can be used. The last method is to collect and manage the disclosed vulnerability information. In order to manage vulnerabilities, it is necessary to analyze what assets are in the nuclear facility first. By matching the reported vulnerability with the CDA (Critical Digital Asset) in the facility, it is possible to analyze whether the CDA can be affected by a cyber attack.As cyber threats continue to increase, it is necessary to analyze threat cases of similar facilities, attack techniques using attack models, and vulnerability analysis through asset identification in order to develop a threat assessments report.

Price-setting research has mainly focused on normative processes. However, a conception of pricing practices in B2B-companies is missing. Information deficits lead pricing managers to deviate from normative processes. We complement and extent normative models by assessing pricing managers’ compensation behavior in cases of information deficits. We propose a typology of approaches to missing price-related information.

Introduction Literally explosive is the growth of social media. The estimated number of monthly active Facebook users by the fourth quarter of 2016 is around 1.86 billion, almost a quarter of the world population, meaning that one in four people on the globe uses Facebook to read news, share gossips, communicate ideas, and build relationships with others. In the United States alone, 72% of all Internet users are reported to use Facebook (Pew Research, 2015), and to many, Facebook is no longer a small part of the Internet, but rapidly becoming the Internet itself. As peer-to-peer information sharing becomes a global mainstream, concerns about the credibility of information shared online is growing fast as well. With no gatekeeper in a traditional sense, rumors and fabricated information lacking reliable evidences (e.g., fake news) may spread wide and fast, and individuals are left alone to assess and judge which among them is likely to be true (Metzger, Flanagin, & Medders, 2010). Unfortunately, we know very little about how individuals assess information fed through online social networks, and how such processing of information in the social media environment differs from those in traditional media environment. In social media like Facebook where individuals and organizations interact through direct or indirect social relationships, what people can give and take is partly determined by with whom they have relationships and their locations in the entire network (Brands, 2014). For example, if one’s network consists mostly of college students, the network may be flooded with gossips, news, and information particularly appealing to them (e.g., how to pull an A from the hideous professor). If the network is made up of people from diverse backgrounds, meanwhile, the information shared therein will be as diverse as heterogeneous are the members’ characteristics and preferences. Network topology may, therefore, be a crucial factor that shapes not only what you encounter in your own network, but also the way you assess the information found therein (Sohn, 2014). An identical message may be construed differently depending on how it has been encountered (e.g., who liked/shared in Facebook) as well as where it originates (e.g., who are the original source of the message). For instance, the news regarding the effectiveness of alternative medicine on curing cancer may be assessed differently depending on whether it is shared by lay people with similar interest or medical experts, which subsequently affects one’s decision to share it. Whereas it is already well-founded that the original source quality plays an important role in communication (Visser & Cooper, 2007), relatively little attention has been devoted to unveiling the role of intermediate social environment lying between the original source and the final recipients. This study is aimed at examining systematically the role of social relations in individuals’ assessment of and decision to share information encountered in social media. More specifically, the focus will be on testing in an experimental setting how social relationship properties, reflecting psychological distance, shape individuals’ assessment of risk/benefit associated with the information received. Psychological Distance and Decision under Risk We are routinely exposed to a myriad of information from our immediate social circles including close friends and acquaintances as well as mass media. Some of them could be about the opportunities for earning extra profits (e.g., stock or real estate investment opportunities), while others about how to maintain better health (e.g., avoiding harmful chemical-intake). Whether it is about money, health or others, the decision to take an action on the information is a function of how to assess the risks involved. According to the prospect theory (Kahneman & Tversky, 1979), people have an inherent tendency of being more sensitive to the loss than benefit of anything, making them prefer avoiding loss to having an equivalent amount of gain. This loss-aversive tendency also implies that people prefer the possible to sure loss, even if the former is greater than the latter. In other words, people become risk-seeking to avoid any loss with certainty. Suppose, for example, you are given a choice between losing $750 for sure and doing a gamble such that you lose $1000 with 75% chance or lose nothing with 25% chance. Despite the identical expected value ($1000 x .75 + $1000 x 0 = $750), people tend to lean over to the gamble rather than the sure loss. This may work in the opposite way for benefit – you may prefer the sure to possible gain, meaning that you become risk-aversive when benefit is at stake. An interesting question is whether such a risk-seeking or aversion tendency is malleable (Tversky & Simonson, 1993). It is widely known that a message with identical contents can be construed differently depending on whether it is stated or framed in terms of benefit or loss (Slovic, 1995). Then, we might ask whether people construe messages differently depending on where they are from – whether they are from close-knit groups, distant acquaintances or some anonymous others. Prior studies have seldom considered such social contextual influence, which is essential to understanding communication in social media (Sohn, 2014). Suppose you are considering taking an alternative medicine for treating a chronic illness of yours, which will surely get worse with no treatment (i.e., loss with certainty). The alternative medicine’s effectiveness is largely unknown and has never been under rigorous scientific tests. You post your thought about adopting it and have just got replies from two different sources in your Facebook network – a close friend and a mere acquaintance. Your friend says that using the alternative approach can be detrimental to your health (i.e., loss frame), while the acquaintance mentions that s/he trusts the medicine’s benefits (i.e., benefit frame). What would be your choice given the comments? Would your choice be reversed if your friend says its benefit, while the acquaintance warns its side effects? It is posited in construal-level theory that “people use increasingly higher levels of construal to represent an object as the psychological distance from the object increases” (Trope & Liberman, 2010, p. 441). When there are pros and cons with respect to a course of action, people perceive cons (i.e., losses) psychologically closer than pros (i.e., benefits), which provides an explanation of why loss aversion occurs. In addition, it has been found that pros become more salient than cons as temporal distance to the action increases (e.g., buying a computer a year later; Eyal, Liberman, Trope, & Walther, 2004). Taken together, it may be inferred that the cons are salient when the action of interest is thought psychologically proximal, but the pros become more salient as it gets more psychologically distant. This inference can be applied to other distance dimensions including social distance as well. Combining benefit-loss frames and social distance perceptions, we can come up with the following four different conditions as summarized in Table 1. With all other things held equal, people tend to feel loss psychologically closer than benefit. However, the salience of either benefit or loss in a person’s mind may also depend on how the information is presented -- whether a message with the information comes from a proximal or distant source. For example, if a message with emphases on an alternative medicine’s benefit came from a proximal source (BP), further decrease in psychological distance might make salient its potential side effects, and thus lessen the benefit’s influence on decision. Similar inferences can be made to the case when a message with emphases on loss came from a distant source (LD). Due to the increase in psychological distance, it might become difficult to think of the negative aspects of the target (Herzog, Hansen & Wanke, 2007). If the message emphasizing either benefit or loss is aligned respectively with a distal (BD) or proximal source (LP), in contrast, they will become more salient in the person’s mind, which would exert a disproportionate influence on decision. Given the discussion, the following hypotheses can be proposed: H1a. People perceive the benefit more salient, and thus are more likely to make a risky choice when it is supported by socially distant others than when no information of the social distance to the source is given (i.e., control condition). H1b. People perceive the benefit less salient, and thus are less likely to make a risky choice when the benefit is supported by socially close others than when no information of the social distance to the source is given (i.e., control condition). H2a. People perceive the loss more salient, and thus make a risky choice less when the loss is warned by socially close others than when when no information of the social distance to the source is given. H2b. People perceive the loss less salient when the loss is warned by socially distant others than when no information of the social distance to the source is given. Experimental Design A 2 (message frames) x 3 (social distance) between-subjects online experiment will be conducted as follows. Subjects will be given multiple hypothetical risky choice situations with respect to such issues as making an investment, adopting a new medical treatment, purchasing a product. After being exposed to the choice scenarios, they will be asked a series of questions for measuring their issue-involvement levels, attitudes to the issue presented, thoughts related to benefits and losses, and final choices, along with relevant psychological and demographic characteristics. Implications No communication ever occurs in a social vacuum. Just as our everyday behaviors are shaped and often constrained by the physical places in which they are performed (e.g., rooms, streets, buildings), we communicate in a social setting consisting of direct and/or indirect relationships among people (Gifford, 2013). The knowledge of one’s social surroundings becomes more important in social media due to the manifest location dependency—meaning one’s position in a relationship network basically defines what can be seen and done. No matter whether information originally came from a newspaper, television program, or blog, the information is eventually transmitted via one of the network members, highlighting the importance of relationship patterns and qualities in communication processes. That is, in any socially-networked environment, people rely not only on inferences about the original source quality (e.g., authority, expertise), but also on the social contexts through which the information is received and shared. Most previous research has focused mainly on the former (i.e., source quality) while overlooking both the latter (i.e., social contexts) and any possible interactions between the two (Metzger, Flanagin, & Medders, 2010). The current study is believed to bridge the gap so that communication processes in the social media environment could be understood in a more systematic fashion.

This paper presents various information technologies of software product evaluation such as process for evaluators, process for developers, and process for acquirers. This study also introduces system life cycle processes and its application guide.

Recently, spatial data integration for geoscientific application has been regarded as an important task of various geoscientific applications of GIS. Although much research has been reported in the literature, quantitative assessment of the spatial interrelationship between input data layers and an integrated layer has not been considered fully and is in the development stage. Regarding this matter, we propose here, methodologies that account for the spatial interrelationship and spatial patterns in the spatial integration task, namely a multi-buffer zone analysis and a statistical analysis based on a contingency table. The main part of our work, the multi-buffer zone analysis, was addressed and applied to reveal the spatial pattern around geological source primitives and statistical analysis was performed to extract information for the assessment of an integrated layer. Mineral potential mapping using multi-source geoscience data sets from Ogdong in Korea was applied to illustrate application of this methodology.

최근 개발의 압력을 받고 있는 충청북도 영동 민주지산을 대상으로 산림의 질을 평가하고 관리대상을 제시하고자 73개 조사구를 설정하여 조사를 실시하였다. 분석을 위해 27개의 식생과 지리정보변수를 마련하였다. 자료의 양을 줄이기 위해 ordination 기법과 요인분석을 사용하여 변수를 축소시켰다. 식생을 분석한 결과 다섯 개의 군집으로 분류되었으며, 이는 DCA에서도 비슷한 경향을 나타내었다. 요인분석에서는 13개의 변수가 5개가 요인으로 압축되었는데, 요인 1은 수종의 풍부도, 요인 2는 건중량, 요인 3은 밀도, 요인 4는 임령 그리고 요인 5는 지리적 특성으로 나뉘어졌다. 천이상황를 예측하는 모형은 다중회귀로 표현되었고, 주요 변수로는 유기물의 깊이, Shannon의 종다양도 그리고 흉고직경이 사용되었다. 그리고 GIS를 이용한 산림관리의 의사결정과정을 도출하였다.

The purpose of the present study is to assess nutrient content for providing nutrition information such as nutrition labeling on Korean dishes in restaurant and food service institutions. The content of nutrients was calculated in recipies used to prepare dishes which has been frequently consumed in such four groups as the literature, foodservice institutions of industries, restaurants, and households. The numbers of dishes surveyed were 15. Total numbers of literture used for recipies analysis are 20. Recipies used in foodservice institutions of industries were abstracted from the journal 'Guk-Min Young-Yang' published in Korea dietetic association and obtained with the help of dietitians working in those institutions. Also, recipies has been using in restaurants were given from the Korea restaurant association. Recipies in households was calculated from the secondary analysis of the Korean National Nutrition Survey. Nutrient content from foods except steamed rice and side dishes in each dish was calculated using data of Korean food composition table published. The content of energy and protein in 'Gal-bi tang' (beef-rib soup) were highest in recipes used at restaurants, vitamin C in recipes of food service institutions of industries due to the generous use of meats and vegetables than other recipies. 'Doen-jang chigae' (soybean paste stew) showed the lowest content of energy in results analyzing recipes presented on the literature and varied protein level by four groups for difference of protein source used. The content of energy in 'Gop-chang jeongol' (small intestines stew) is 150 kcal more than 'Soegogi jeongol' (beef stew) in general. The energy level of 'Daeji-galbi' jim (braised pork ribs) and 'Dak jim' (braised chicken) turned out to be the highest in recipies presented on literature. Variation of each nutrient content including energy and protein was relatively high, since some of foods used in 'Pibimbab' (mixed rice) varied with four groups. Amounts of energy and protein in 'Naeng-myeun' (cold noodles) is the highest in recipies of foodservice institution of industries because much amounts of noodle and meats were used comparing to other groups. The average content of energy in 'Pulgogi' (grilled meat with sauce) was 50% to Korea recommended amounts of one meal, 833.3 kcal. Content of vitamin B1 in 'Jeuk pyeunuk' (boiled pork), which is made of pork meat, was higher than other dishes. The ingredients of frequently consumed Korean dishes were highly variable among the four groups which inevitably results in variation of nutrient content in each dishes. The high variation of nutrient content in each dish according to study requires careful collecting of the large number of recipies in presenting representative nutrient content for nutrition labeling on dishes in restaurant and food service institutions effectively.

본 연구에서는 장기예보자료 기반의 장기 가뭄전망정보를 산정하고, 2015년 가뭄사상을 대상으로 활용성을 평가하였다. 이를 위해 ASOS 59개 지점의 관측강수량, GloSea5의 미래예측 및 과거재현 자료를 활용하였으며, 다양한 지속기간(3, 6, 9, 12개월)에 대한 SPI를 산정하였다. 또한 예보선행시간(1~6개월)에 따른 SPI와 관측자료 기반의 SPI 간의 ROC (Receiver Operating Characteristic)및 통계적 분석(상관계수, 평균제곱근 오차)을 수행하여 전망정보의 활용성을 평가하였다. ROC 분석결과, SPI(3)는 2개월, SPI(6)은 3개월, SPI(9)는 4개월, SPI(12)는 5개월까지 ROC score 약 0.70 이상으로 산정되었다. 예보선행시간별 상관계수 및 평균제곱근오차의 경우, 2개월 선행시간 SPI(3)은 0.60, 0.87, 4개월 선행시간 SPI(6)은 0.72, 0.95, 5개월 선행시간 SPI(9)는 0.75, 0.95, 6개월 선행시간 SPI(12)는 0.77, 0.89로 상관계수는 높게, 평균제곱근오차는 낮게 산정되어 활용성이 있는 것으로 판단된다.

Spatially distributed characteristic of longevity regions analysed using GIS tools. Fundamental factors for long life are categorized into natural conditions and artificial conditions. Degree of longevity is defined and used as a key parameter in analyzing longevity region. It is visually shown that aging areas are moving with time and variances of social and economic status. It is concluded that the degree of longevity is increased with improving living quality because of improvement of economic activities and living environment. However, longevity regions of recent times have slightly reversed tendency against urban areas in the manner of moving toward areas where social and economical activities are relatively weaker.