• Korean Chemical Engineering Research
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• v.60 no.4
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• pp.519-524
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• 2022

Domestic building finishing materials are being evaluated according to KS F 2271 standards according to the notification of the Ministry of Land, Infrastructure and Transport, and this test is evaluated using laboratory animals. In this study, experiments were conducted on highly combustible organic insulation materials such as EPS, urethane, and phenolic foam. The purpose of this study was to analyze the cause of the behavioral suspension of the experimental mice by measuring the average behavioral suspension time of the mice caused by the harmful gas generated when these three types of insulation materials were burned. FTIR analysis and smoke density experiment were performed as a cause analysis method for the behavioral suspension of mice, and the experimental results were analyzed by dividing the causes of behavioral suspension into suffocation by particulate matter and toxic inhalation by gaseous substances. As a result of the test, urethane was evaluated as the most harmful insulation material, and as a result of FTIR analysis and smoke density test as a cause analysis for the gas toxicity test results, it is judged that the behavioral stop of the rats by suffocation is higher than the effect of toxic inhalation. This study is a basic study on the cause analysis of harmful gases, and it will be necessary to prepare the toxicity basis and analyze various materials and gases.

• Journal of fish pathology
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• v.25 no.1
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• pp.47-58
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• 2012

Behavioral and physiological responses of juvenile red seabream (Pagrus major) to different concentrations of ethanol were investigated. No swimming and no reaction to touching by a wooden stick was observed at 0.6% ethanol group in behavioral response, and survival rate was 100% after 5 hours of treatment. Red blood cell count, hematocrit and hemoglobin levels in plasma were not significantly different among all groups. AST activities in plasma significantly decreased as ethanol concentration increased. On the contrary, ALT activities in plasma significantly increased as ethanol concentration increased. Cortisol level in plasma was the lowest in 0.6% ethanol group. Glucose levels in plasma increased significantly when ethanol concentration increased more than 0.4%. Oxygen consumption of fish in 0.6% ethanol seawater was constantly lower than that of fish in control seawater from 2 hours after the exposure to ethanol seawater until the end of experiment.

• Journal of Information Technology Applications and Management
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• v.22 no.1
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• pp.77-93
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• 2015

As the range of the customer choice becomes more diverse, the average life span of companies' products and services is becoming shorter. Most companies are striving to maximize the revenue by understanding the customer's needs and providing customized products and services. However, companies had to bear a significant burden, in terms of the time and cost involved in the process of determining each individual customer's needs. Therefore, an alternative method is employed that involves grouping the customers into different categories based on certain criteria and establishing a marketing strategy tailored for each group. In this way, customer segmentation and customer clustering are performed using demographic information and behavioral information. Demographic information included sex, age, income level, and etc., while behavioral information was usually identified indirectly through customers' purchase history and search history. However, there is a limitation regarding companies' customer behavioral information, because the information is usually obtained through the limited data provided by a customer on a company's website. This is because the pattern indicated when a customer accesses a particular site might not be representative of the general tendency of that customer. Therefore, in this study, rather than the pattern indicated through a particular site, a customer's interest is identified using that customer's access record pertaining to external news. Hence, by utilizing this method, we proposed a methodology to perform customer segmentation. In addition, by extracting the main issues through a topic analysis covering approximately 3,000 Internet news articles, the actual experiment applying customer segmentation is performed and the applicability of the proposed methodology is analyzed.

• Science of Emotion and Sensibility
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• v.17 no.2
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• pp.25-34
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• 2014

The current study investigates the impacts of empathic concern, as a personal trait, and rational/emotional appeal on responses over the campaigns to help the disabled. Empathic concern is an emotional personality known as strongly activating altruistic motivations. The experiment proceeded at two stages that in the first stage, the personal disposition was measured and in the second stage, the condition of appeal type was presented. Thus, the whole experimental design was empathic concern(2) ${\times}$ appeal type(2) on attitudes and behavioral intention. Individuals high in empathic concern showed higher ratings, compared to people low, on attitudes and behavioral intention in the condition of rational appeal. The difference between high and low empathic concern in the condition of emotional appeal was small.

• Journal of Korean Elementary Science Education
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• v.31 no.4
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• pp.436-449
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• 2012

This study aimed to investigate primary students' science-related attitudes through the literature review. Ninety-four papers published in domestic science education journals, since 1990, were collected and were followed by content analysis. In this study, science-related attitude was conceptualized as attitude toward science, scientist, science-related occupations, and school science, which is composed of cognitive, affective and behavioral domains. Based on the conceptualization, the instruments used for measuring students' attitudes were analyzed. The analysis of definition of science-related attitude in the articles showed different foci on cognitive, affective and behavioral domains. To suggest the effective instruction for enhancing students' science-related attitudes, this study identified students' attitude with gender, grade, residence and achievement level. The result showed that male, urban, higher-grade and better performed students had more positive attitude than female, rural, lower-grade and less performed students. As for the factors in science-related attitude, I categorized the factors into personal, environmental and pedagogical aspects, and found that psychological elements in all domains were most influential to students' change of science-related attitudes. It is interesting to note that students showed dichotomous views about experiment and that task-oriented instruction failed to enhance students' attitude. Based on the research findings, this study suggests effective instruction for improving students' attitudes and future research for science education.

• Journal of Korea Multimedia Society
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• v.17 no.8
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• pp.968-976
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• 2014

Authentication methods on smartphone are demanded to be implicit to users with minimum users' interaction. Existing authentication methods (e.g. PINs, passwords, visual patterns, etc.) are not effectively considering remembrance and privacy issues. Behavioral biometrics such as keystroke dynamics and gait biometrics can be acquired easily and implicitly by using integrated sensors on smartphone. We propose a biometric model involving keystroke dynamics for implicit authentication on smartphone. We first design a feature extraction method for keystroke dynamics. And then, we build a fusion model of keystroke dynamics and gait to improve the authentication performance of single behavioral biometric on smartphone. We operate the fusion at both feature extraction level and matching score level. Experiment using linear Support Vector Machines (SVM) classifier reveals that the best results are achieved with score fusion: a recognition rate approximately 97.86% under identification mode and an error rate approximately 1.11% under authentication mode.

• Knowledge Management Research
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• v.18 no.2
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• pp.45-63
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• 2017

In the success of an IT project, the role of S/W developer in carrying out the project is critical and crucial. However, compared to its importance, there is only a few studies on the role of human resources in software engineering field, mainly focusing on technology. Based on regulatory focus theory, this study examines how the effect of technology recency on developer's intention to participate in the IT project changes depending on the regulatory focus of the software developer. As a result of the experiment, it was confirmed that there is a difference in the effect of technology recency on project participation intention according to the condition of developer's regulatory focus. This study is meaningful because it extends regulatory focus theory to software engineering field and made theoretical contribution to the research field of behavioral software engineering. In practical, it was possible to suggest a way to improve the intention of the developer to participate in the project, by understanding the software developer in the IT project, considering the software developer propensity and project characteristics.

• The Korean Fashion and Textile Research Journal
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• v.12 no.6
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• pp.755-763
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• 2010

This study was intended to identify the persuasion effects according to social proof message type and product type in the context of online cosmetic advertising. For the experiment, 4 stimuli were developed as experimental stimuli for the 2(social proof message type: attitudinal social proof message, behavioral social proof message)${\times}$2(product type: hedonic product, utilitarian product) factorial design. A total of 160 questionnaires allocating forty students to each group were distributed. The results were as follows. First, behavioral social proof message showed more effective than attitudinal social proof message in advertisement attention, click-through intention and purchase intention. Second, utilitarian product showed more effective than hedonic product in advertisement attention, click-through intention and purchase intention. Third, there was interaction effect according to social proof message type and product type on the aspect of click-through intention.

• ETRI Journal
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• v.35 no.6
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• pp.1058-1067
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• 2013

An approach for game bot detection in massively multiplayer online role-playing games (MMORPGs) based on the analysis of game playing behavior is proposed. Since MMORPGs are large-scale games, users can play in various ways. This variety in playing behavior makes it hard to detect game bots based on play behaviors. To cope with this problem, the proposed approach observes game playing behaviors of users and groups them by their behavioral similarities. Then, it develops a local bot detection model for each player group. Since the locally optimized models can more accurately detect game bots within each player group, the combination of those models brings about overall improvement. Behavioral features are selected and developed to accurately detect game bots with the low resolution data, considering common aspects of MMORPG playing. Through the experiment with the real data from a game currently in service, it is shown that the proposed local model approach yields more accurate results.

• Journal of Korean Elementary Science Education
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• v.39 no.2
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• pp.255-267
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• 2020

Students' engagement is important for meaningful learning and it has multifaceted aspects for their science learning. This study investigated elementary students' perceptions of science learning engagement. The subjects of this study were 341 4^th to 6^th elementary students. The survey questionnaires were 5-Likert scale questions and free response questions on science learning engagement. The results showed that elementary students' perceptions of behavioral engagement were higher than emotional and cognitive engagement. Keyword network analysis with NetMiner program showed that the frequent key words of science learning engagement were 'experiment', 'listening', and 'teachers' explanation', which were mostly the behavioral types of engagement. The degree centrality and eigenvector centrality of these key words appeared high. 'Interest', which is emotional engagement, were also one of the frequent key words, but the centralities of this word were relatively low. The Frequent key words of science learning disengagement were mostly related with off-tasks, not doing expected behaviors and negative emotions about science and science learning. Educational implications on science learning engagement were discussed.