• Journal of Sensor Science and Technology
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• v.27 no.4
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• pp.227-231
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• 2018

Indoor air pollution has become a serious issue, affecting the health and comfort of building occupants. Volatile organic compounds (VOCs) are among the most common indoor contaminants, and are released from numerous indoor emission sources. Among the VOCs, formaldehyde and toluene are toxic chemicals at low levels and are frequently detected indoors. Exposure to formaldehyde and toluene can irritate sensitive tissue and may increase the risk of cancer. Therefore, monitoring formaldehyde and toluene is critical for the health and comfort of residents. In addition, as human indoor activities can generate VOC gases, analysis of their influence on VOCs is needed. In this study, we compared electronic nose (E-Nose) data for formaldehyde and toluene with E-Nose data for indoor mixture gas with consideration for human indoor activities.

• International Journal of Contents
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• v.13 no.1
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• pp.31-37
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• 2017

Using the network analysis method, this study investigates the communication structure of Open Data on the Twitter sphere. It addresses the communication path by mapping influential activities and comparing the contents of tweets about Open Data. In the years 2015 and 2016, the NodeXL software was applied to collect tweets from the Twitter network, containing the term "opendata". The structural patterns of social media communication were analyzed through several network characteristics. The results indicate that the most common activities on the Twitter network are related to the subjects such as new applications and new technologies in Open Data. The study is the first to focus on the structural and informational pattern of Open Data based on social network analysis and content analysis. It will help researchers, activists, and policy-makers to come up with a major realization of the pattern of Open Data through Twitter.

• Journal of Radiation Protection and Research
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• v.47 no.4
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• pp.226-236
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• 2022

Background: An effective communication strategy for reducing conflicts in South Korea has been designed through the analysis of public perception and communication variables on nuclear power under the conditions of rapidly changing nuclear power policies. Materials and Methods: This study conducted both qualitative research through group discussions based on social psychology and quantitative research through surveys. Results and Discussion: Nuclear power plant (NPP) area residents in favor of nuclear power indicated higher levels of communication, safety perception, and contribution than those against it. NPP area residents trusted the civilian expert groups (18.3%) and local government (17.3%) the most, while metropolitan city residents trusted the Nuclear Safety and Security Commission and the Korea Institute of Nuclear Safety (20.7%) the most. In determining nuclear power policy, both the NPP area residents (18.1%) and metropolitan city residents (17.1%) prioritized safety, health, and the environment. While metropolitan city residents thought that energy security and economic growth (16.4%) were important, NPP area residents thought the current issue of spent fuel rods (14.1%) to be important. Conclusion: It is necessary for the nuclear power industry to have and actively implement communication and conflict resolution strategies based on the patterns obtained in the study results.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.19-24
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• 2015

Security has been a major concern in software development. Security tactics are reusable building blocks providing a general solution for recurring security concerns at the architectural level. They are often used together with architectural patterns which provide a general solution for architecting software systems. However, use of security tactics in architectural patterns has been understood only conceptually without concrete understanding of how their involved elements should be structurally and behaviorally co-designed. In this paper, we present model-driven analyses of security tactics in the context of Broker architectural patterns and provide evidences of the analyses in real world case studies.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1983.10a
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• pp.65-67
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• 1983

In this paper, two - dimensional digital filtering analysis of Korean chracter image and a method which groups and sorts these filtered patterns are Presented.

• English Language & Literature Teaching
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• v.11 no.3
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• pp.1-23
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• 2005

This paper is a qualitative and quantitative study. The main purpose of the paper is to diagnose what makes English communication difficult at the Korean EFL adult level. In order to obtain data, this study employed interviews and a questionnaire. We identified thirty three factors blocking pathways to oral communication. Qualitative analysis repeatedly revealed patterns such as lack of grammar, lack of vocabulary, lack of background knowledge, and peer pressure, but quantitative analysis yielded somewhat different results: lack of colloquial expressions, lack of vocabulary, lack of various topics, problems in the educational system, difficulty in using existing knowledge, and lack of grammar. Findings which were common to both qualitative and quantitative analyses suggest that lack of linguistic knowledge and lack of background knowledge are major barriers learners encounter in communication. On the basis of the results, suggestions are made for overcoming these barriers.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.30-37
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• 2021

Touch sensor interface has become the most useful input device in a smartphone. Unlike keypad/keyboard interfaces used in electronic dictionaries and feature phones, smartphone's touch interfaces allow for the recognition of various gestures that represent distinct features of each application's input. In this paper, we analyze application-specific input patterns that appear in smartphone's touch interfaces. Specifically, we capture touch input patterns from various Android applications, and analyze them. Based on this analysis, we observe a certain unique characteristics of application's touch input patterns. This can be utilized in various useful areas like user authentications, prevention of executing application by illegal users, or digital forensic based on logged touch patterns.

• Journal of Families and Better Life
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• v.30 no.3
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• pp.119-133
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• 2012

This study aimed to explore the anger of child, the factors influencing the anger of child, the therapeutic techniques of therapist to resolve the marital conflict as well as the anger of child and the changes of family members after getting family therapy. The data was consisted of recording transcripts and note-taking of 8 sessions family therapy. The study used a constant comparative analysis and Miles & Huberman's matrix and network display as analysis method. The anger of child included aggressive and violent behavior, temperament, fear, anxiety, and negligence of rule. The study revealed parental dysfunctional communication patterns and parental experiences from family of origin as factors influencing the anger of child. The study found therapist's self-disclosure, sharing and comparing with similar cases, explanation of dysfunctional communication patterns, explanation about similarity in generational transmission process, and suggestion of new solutions as therapeutic techniques. The result of study showed the alleviation of marital conflict, the amelioration in the anger of child, and the change in the relationships of family members after getting family therapy.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.67-76
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• 2014

In this study, we investigated opinion leaders' communication activities on Facebook and analyzed the differences of communication patterns on Facebook between Korean and US college students. As a primary source of information, we conducted an online survey to collect data from students currently enrolled at two different universities in US. Additionally, we utilized online survey data previously collected from Korean students. According to our analysis, we found that US male students had more active opinion leadership than Korean male students. Also, opinion leadership of Korean students' was significantly associated with both active and passive communication patterns on Facebook whereas opinion leadership of US students' was significantly associated with passive communication patterns.

• Journal of information and communication convergence engineering
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• v.1 no.3
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• pp.150-156
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• 2003

This paper explored the use of an algorithm for the data mining and method in handling missing data which had generated enhanced association patterns observed using the data illustrated here. The evaluations showed that more association patterns are generated in the second analysis which suggests more meaningful rules than in the first situation. It showed that the model offer more precise and important association rules that is more valuable when applied for business decision making. With the discovery of accurate association rules or business patterns, strategies could be efficiently planned out and implemented to improve marketing schemes. This investigation gives rise to a number of interesting issues that could be explored further like the effect of outliers and missing data for detecting fraud and devious database entries.