• Journal of the Korean Society of Food Culture
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• v.32 no.1
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• pp.27-38
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• 2017

This study aimed to analyze the beverage usage behavior according to the food-related lifestyle in Seoul, Gyeonggi province area. Group 1, named 'health & safety seeking' group, consists of high percentage of women in their 40s, as well as a high percentage of high income and highly educated. Group 2, was group of 'high interest in dietary life', consists of a high percentage of women in their 30s, highly educated, earned 3~5 million won. Group 3, named 'convenience seeking' group, had a high percentage of men and of those in their 20s who earned less than 2 million won. In verifying the difference between food-related lifestyle groups in terms of their behaviors and attitudes towards the usage of beverage specialty shop, group 1 showed significantly high score in the number of visit beverage specialty shops, the intention to spend higher average expenditure per visit per person, importance of selection attributes of beverage specialty shop.

• Journal of the Ergonomics Society of Korea
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• v.22 no.2
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• pp.45-56
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• 2003

The purpose of this study is to develop the model including multiple causal relationship between factors to evaluate overall user satisfaction and develop an objective method to quantify the impacts and scores of each qualitative factors on overall user satisfaction using Structural Equation Model(SEM) and also test the feasibility to construct a comprehensive website evaluation model including qualitative and quantitative factors. The SEM model used 2 qualitative factors of usability and esthetic factors for the evaluation factors of user satisfaction and select 4 attributes of each factors using factor analysis. 3 shopping mall sites were evaluated to construct the SEM model, and 155 subjects participated the website evaluation using the walk-through and face-to-face survey method. Analysis results showed that the SEM model was statistically significant for all the 3 websites evaluated. Both the usability and esthetic factors showed significant effects to user satisfaction of websites and have positive correlation. The user satisfaction was more effected by the usability factor than esthetic factors, and the simplification and harmonization were the most critical attributes of the usability and esthetic factors.

• The Korean Nurse
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• v.36 no.2
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• pp.39-48
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• 1997

There is a need to define the concept of suffering more appropriate in the context of Korean culture. This research is an attempt to reanalyze the concept of suffering by applying Walker & Avant's process of concept analysis. The steps of concept analysis are : 1. Select a concept. 2. Determine the aims or purpose of the analysis. 3. Identify all uses of the concept that you can discover. 4. Determine the defining attributes. 5. Construct model, contrary, borderline, related and invented cases. 6. Identify antecedents and consequences. 7. Define empirical referents. The concept of suffering can be defined as follows: Suffering is a fundamental and inevitable experience of all human beings. When each individual experiences loss, damage and pain which threaten one's personal integrity, suffering is perceived differently among each individual depending on their personal inner factors, one's significant others, exterior circumstances and stimuli, and the ultimate meaning of life. Suffering brings severe and unendurable distress which accompany despair, powerlessness, anxiety, bitterness, fear, anguish, guilt, depression, withdrawal and anger. The attributes of suffering were analyzed. Model case, contrary case, borderline case, related case, and invented case were described. Antecedents, consequences and empirical referents were explored. This concept analysis provides data for new insights of suffering. These findings suggests that appropriate nursing interventions aimed at relieving suffering of patients need to be developed and implemented more widely.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.21-28
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• 2019

Process mining is state-of-the-art technology in the workflow field. Recently, process mining becomes more important because of the fact that it shows the status of the actual behavior of the workflow model. However, as the process mining get focused and developed, the material of the process mining - workflow event log - also grows fast. Thus, the process mining algorithms cannot operate with some data because it is too large. To solve this problem, there should be a lightweight process mining algorithm, or the event log must be divided and processed partly. In this paper, we suggest a set of operations that control and edit XES based event logs for process mining. They are designed based on relational algebra, which is used in database management systems. We designed three operations for tailoring XES event logs. Select operation is an operation that gets specific attributes and excludes others. Thus, the output file has the same structure and contents of the original file, but each element has only the attributes user selected. Union operation makes two input XES files into one XES file. Two input files must be from the same process. As a result, the contents of the two files are integrated into one file. The final operation is a slice. It divides anXES file into several files by the number of traces. We will show the design methods and details below.

• Journal of the Semiconductor & Display Technology
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• v.14 no.4
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• pp.61-66
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• 2015

With the start of digital broadcasting, TV screen, there is provided a new broadcast service is called EPG (Electronic Program Guide) that can be retrieved directly to a channel or program. However, a study considering the EPG of the user interface on the viewer position is so far insufficient. TV is because everyone watching the media, rather than a specific layer is necessary in order to find easy, intuitive user interface for the program to the viewer. That is, it is possible to quickly find the program to select the attributes that the TV viewer can be easily understood by using the EPG. To this end, this paper first genres which are representative of the properties that distinguish a TV program, time, rating, etc. were systematically classified. So viewers the values of the properties but to specify organized by the EPG, the order of attributes that specify the value we design a user interface that can be selected as having easy. And compare the superiority of the function evaluation of the two through the EPG in the EPG Usability Test proposed by the EPG with the existing commercial paper.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.4
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• pp.911-925
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• 1996

Emerging service classes need an error model which efficiently satisfies the requirements for each media and application. However limited flexibility in the error control has been provided. Therefore we propose a new error control model which applies error control scheme per media flexibly with respect to ETL(Error Tolerance Leverl) and delay. In order to select the error control scheme in this model, the attributes of media(i.e., ETL, isochronism), the attributes of application(i.e., delay) and environment parameters(i.e., packet loss ration, network types, connection modes of the application) are considered as effect factors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2188-2203
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• 2021

With the rapid development of mobile Internet, smart phones have been widely popularized, among which Android platform dominates. Due to it is open source, malware on the Android platform is rampant. In order to improve the efficiency of malware detection, this paper proposes deep learning Android malicious detection system based on behavior features. First of all, the detection system adopts the static analysis method to extract different types of behavior features from Android applications, and extract sensitive behavior features through Term frequency-inverse Document Frequency algorithm for each extracted behavior feature to construct detection features through unified abstract expression. Secondly, Long Short-Term Memory neural network model is established to select and learn from the extracted attributes and the learned attributes are used to detect Android malicious applications, Analysis and further optimization of the application behavior parameters, so as to build a deep learning Android malicious detection method based on feature analysis. We use different types of features to evaluate our method and compare it with various machine learning-based methods. Study shows that it outperforms most existing machine learning based approaches and detects 95.31% of the malware.

• The Journal of Korean Association of Computer Education
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• v.11 no.3
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• pp.13-20
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• 2008

The Ministry of Education, Science and Technology has been developing the digital textbooks from 2007. But the evaluation criteria on the digital textbooks is not prepared, so it is difficult to develop excellent digital textbooks and to select superior ones. In this study, we researched into the concept, attributes and functions of the digital textbook in order to select the evaluation indicators, based on the literature reviews of digital textbooks, core evaluation measures and criteria were identified. And three methods were employed: a Delphi study, expert forums, and simulation tests. The results of these studies led the development of an evaluation criteria which consisted of four evaluation areas and 74 questions. The four evaluation areas consisted of content area, instrument design area, platform area and user area.

• Clean Technology
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• v.2 no.2
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• pp.165-175
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• 1996

Cutting fluids in machining process are one of the parameters which have serious effects on the environment. A simple method to accomplish the environmentally clean process is to evaluate the effects of cutting fluids and select one which has the least environmental load. In this research, a process planning to select the best cutting fluid is suggested considering both machinability and environmental effects. The selection criteria and evaluation method named AHP are introduced. The planning process is illustrated with drilling characterized as a heavy-duty and low-speed process. Five standard fluids are compared with respect to five environmental attributes. Compounded cutting oils are superior to water-soluble oils in both machinability and environmental effects.

• Culinary science and hospitality research
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• v.17 no.5
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• pp.108-121
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• 2011

The purpose of this study is to carry out the exploratory study on the easiness of using smart phone applications for searching food service information based on consumer characteristics. Examining the attributes of the easiness of using smart phone applications for searching food service information, this study checks the order of priority in the attributes and analyzes the correlation among the constructs of easiness of use, along with the difference in easiness of use based on demographic characteristics. The survey was conducted to the users of smart phones who live in 3 areas such as Seoul/Kyongki, Daegu/Kyongbuk, and Busan/Kyongnam from Jan. 3-Feb. 3, 2011, and total 264 copies of questionnaire were used for the final analysis. The result showed that the respondents considered the functions of searching restaurants, recommended restaurants, and the popularity list more important among the measurement items of easiness of use, and there was highly positive correlation between easiness to select restaurants and communication functions among all the factors drawn. It was found that there was significant difference in the function of searching restaurants, practicality, the easiness to select restaurants, communication, and the easiness to select menu on areas.