• Journal of Korean Critical Care Nursing
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• v.9 no.2
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• pp.48-60
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• 2016

Purpose: The purpose of this study was to identify the attributes of the concept, of psychological resistance to antihypertensive medication. Methods: The study was conducted in accordance with Walker and Avant's conceptual analysis process. We reviewed 47 related studies selected from 4 international and Korean databases including Medline, CINAHL, NDSL, and RISS to perform the analytical processes from January 1980 to September 2015. Results: The attributes of psychological resistance to antihypertensive medication include 1) reservation, 2) opposition, 3) denial, 4) refusal, and 5) seeking alternative therapy. The antecedents of the concept can be classified into patient factors such as reactance trait and knowledge deficit, provider factors, interpersonal factors, and environmental factors. The consequences of psychological resistance to antihypertensive medication are non-compliance, deterioration of the disease, developing complications, increased anxiety, and changes in life. Conclusions: The concept of psycho logical resistance to antihypertensive medication can provide guidance for the development of an intervention program that promotes the compliance to medication regimen of hypertensive patients. Further research needs to be done to develop a measurement tool for psychological resistance to antihypertensive medication.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.3
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• pp.327-338
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• 1994

KES-F system is widely used in hand evaluation, however, it has encountered some challenges, such as the overlapping of primary hand value, lack of predictability in case of women's thin dress, difficulties in communication due to complexity of primary hand expression and cultural differences in subjective evaluation. Therefore, this study was intended 1) to find out the Korean primary hand expressions(factors) of the overall concept of fabric hand associated with women's spring- fall dress fabrics, 2) to develope the fabric hand attributes of those fabrics and 3) to show whether there are any differences between Korean textile experts and non-experts in terms of the concept of fabric hand descriptors of hand attributes. Data base of hand descriptors were collected by extensive interview 60 experts and 10 non - experts using 110 spring-fall dress fabrics. Finally, hand of selected fabrics was assessed by 205 experts and 265 non-experts using 7-point scale of 26 descriptors based on the data base. Subjective ratings were analyzed by common factor analysis with varimax rotation. It was found that Korean primary hand expression indicated rather simple property, hence, did not equate exactly with Japanese experssion(e.g. koshi, shinayakasa, etc.) which contains several material properties. There were differences in stretch IE resilience, especially liveliness, between the judgement of non- ex- pert than to experts. Surface- related category was more important to non-experts than to experts. Slight differences were found between both groups in terms of preferred descriptors. Important descriptors as a rating scale were suggested.

• Korean Management Science Review
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• v.19 no.1
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• pp.129-142
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• 2002

Data fusion Is a technique used for creating an Integrated database by combining two or more databases that include a different set of variables or attributes. This paper attempts to apply data fusion technique to customer relationships management (CRM), in that we can not only plan a database structure but also collect and manage customer data In a more efficient way In particular our study Is useful when no s1n91e database Is complete, i.e., each and every subject in the pre-integrated database contains somewhat missing observations. According to the way of treating the common variables, donors can be differently selected for the substitution of the missing attributes of recipients. One way is to find the donor that has the highest correlation coefficient with the recipient by. treating common variables metrically The other is based on the closest distance by the correspondence analysis in case of treating common variables nominally. The predictability of data fusion for CRM can be evaluated by measuring the correlation of the original database and the substituted one. A Monte Carlo Simulation analysis is used to examine the stability of the two substitution methods in building an integrated database.

• Journal of the Korean Society of Costume
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• v.33
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• pp.27-39
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• 1997

The purpose of this study was to classify the attributes of brand image criteria of women's shoes to compose the perceptual map of the brand by factor analysis and to examine the differences in brand preferences and purchase methods of shoes according to demographic variables. 10 brand names were selected for the study Samples were 271 women in Seoul Korea :143 were college students and 128 were career women.The data were analyzed using factor analy-sis multiple regression analysis one-way ANOVA Duncan's multiple range test x2-test t-test. The results of the study were the -followings: 1. Four segments of brand image attributes of women's shoes derived by factor analysis: F. 1. 'utility' F.2'appearance' ; F. 3 'sales promotion' ; F.4 'financial factor'. 2. As the result of draw up the perceptual map 'landrover' was high in utility but low in appearance 'Misope' and 'Mook' was low in utility but high in appearance. 'Fashion Leader' was in the nearest ideal direction to the utility and appearance. 3. The preference level of the shoes brand name was in order of the 'Fashion Leader'. 'Mook' and 'Soda' But consumers possessed 'Landrover' the most 4. There were significant differences among preference level of ' Landrover' and 'Misope' according to the social class. There were sig-nificant differences among possession level of 'Misope' and 'Soda' according to the social class 5. the middle and lower class consumers used an exchange ticket during the bargain sales more than upper class when they pur-chase shoes.

• 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.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.291-301
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• 2020

This paper aims to investigate the impact of chief executive officer's (CEO) attributes on firms' performance. Specifically, it examines the influence of CEOs' education, professional experience, and tenure on Saudi firms' performance. We look at a sample of 120 listed firms on Tadawul stock exchange from 2014 to 2017. Data on financial and accounting variables are obtained from the annual reports of the selected companies. We follow the existing empirical literature and use a panel model and formulate three different equations using the GMM estimator. Findings prove that CEO educational background does matter. In particular, companies employing CEOs with business administration, economics, finance, or accounting degree will perform outstandingly better. Similarly, stock performance gets improved when the CEO has a postgraduate qualification, i.e., when the CEO holds an MBA, a master, or a PhD degree. Besides, results reveal that executives who have an experience in a related field will positively affect the firm's performance. Finally, evidence shows that high CEOs tenure improves corporate performance. Overall, these findings demonstrate that executives' attributes are key factors that would explain differences in Saudi firms' performance. These results would help shareholders to make the right decision in selecting CEOs to manage the company.

• Journal of the Korean housing association
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• v.22 no.2
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• pp.101-109
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• 2011

Until now, several comparative approaches were developed within the studies of Korean, Chinese, and Japanese traditional housings. In those studies, however, each space in the traditional houses was only treated in individual and fragmentary manners, and they lacked the interpretation of the topological attribute of each space within a holistic structure organized by unit spaces, and of the cultural-behavioral meaning of them within a holistic space-use pattern of the housing. The topological attribute and behavioral meaning can be analyzed and interpreted with the quantitative spatial analysis method such as Space Syntax. This study aims to analyze the traditional housings in Korea, China and Japan in the holistic aspect of spatial structure using Space Syntax, and to compare the analysis results with relating the structural attributes to the space-use pattern. In this study, the 'Banga' in Chosun era, the 'Siheyuan' in Ming-Ching era, and the 'Shoinzukuri' in Edo era were selected as the analysis subjects. The integration indices were calculated from the convex maps representing the subjects, and the common and different attributes of the three subjects were defined through comparative analyses.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.2
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• pp.246-255
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• 1998

This paper presents a novel method for real-time malfunction detection of plasma etching process using EPD signal traces. First, many reference EPD signal traces are collected using monochromator and data acquisition system in normal etching processes. Critical points are defined by applying differentiation and zero-crossing method to the collected reference signal traces. Critical parameters such as intensity, slope, time, peak, overshoot, etc., determined by critical points, and frame attributes transformed signal-to symbol of reference signal traces are saved. Also, UCL(Upper Control Limit) and LCL(Lower Control Limit) are obtained by mean and standard deviation of critical parameters. Then, test EPD signal traces are collected in the actual processes, and frame attributes and critical parameters are obtained using the above mentioned method. Process malfunctions are detected in real-time by applying SPC(Statistical Process Control) method to critical parameters. the Real-time malfunction detection method presented in this paper was applied to actual processes and the results indicated that it was proved to be able to supplement disadvantages of existing quality control check inspecting or testing random-selected devices and detect process malfunctions correctly in real-time.

• 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.

• Industrial Engineering and Management Systems
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• v.9 no.2
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• pp.131-140
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• 2010

Biclustering is a method of finding meaningful subsets of objects and attributes simultaneously, which may not be detected by traditional clustering methods. It is popularly used for the analysis of microarray data representing the expression levels of genes by conditions. Usually, biclustering algorithms do not consider a sequential relation between attributes. For time series data, however, bicluster solutions should keep the time sequence. This paper proposes a new biclustering algorithm for time series data by modifying the plaid model. The proposed algorithm introduces a parameter controlling an interval between two selected time points. Also, the pruning step preventing an over-fitting problem is modified so as to eliminate only starting or ending points. Results from artificial data sets show that the proposed method is more suitable for the extraction of biclusters from time series data sets. Moreover, by using the proposed method, we find some interesting observations from real-world time-course microarray data sets and apartment price data sets in metropolitan areas.