• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.1-8
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• 2017

The purpose of this study is to propose a cache structure for processing large-volume building information modeling (BIM) geometry data,whereit is difficult to allocate physical memory. As the number of BIM orders has increased in the public sector, it is becoming more common to visualize and calculate large-volume BIM geometry data. Design and review collaboration can require a lot of time to download large-volume BIM data through the network. If the BIM data exceeds the physical free-memory limit, visualization and geometry computation cannot be possible. In order to utilize large amounts of BIM data on insufficient physical memory or a low-bandwidth network, it is advantageous to cache only the data necessary for BIM geometry rendering and calculation time. Thisstudy proposes acache structure for efficiently rendering and calculating large-volume BIM geometry data where it is difficult to allocate enough physical memory.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.3_4 s.141
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• pp.535-546
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• 2005

The purposes of this study are to verify the validity of the conceptual structure of clothing shopping orientation(CSO) developed in the previous research, and to explore the difference of CSO structure between male and female consumer groups. For those purposes, data of 499 male and female consumers were collected. Confirmatory factor analysis, ANOVA, and simultaneous factor analysis were used for data analysis. The results are as follows. First, as a result of confirmatory factor analysis, the validity of conceptual structure of CSO was verified. Second, as a result of ANOVA, male and female showed significantly different CSO at the lower-dimensions level, and as a result of simultaneous factor analysis, male and female showed significantly different relationships between dimensions within the structure. This means that the CSOs of both male and female can be explained by the same CSO structure model, but the specific relationships between CSO dimensions are different by the gender of consumers. Finally, directions for fashion marketing mix concerning the CSO structures of male and female were suggested.

• Journal of Information Technology Services
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• v.12 no.1
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• pp.247-257
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• 2013

A narrative structure is essential for a story generator to create a story plot. In digital storytelling system, a narrative structure can be generally designed as a tree or a graph, and the story generator in the digital storytelling system creates continuous story plots based on the narrative structure. When a narrative structure is designed with a tree or a graph, it is hard for the story generator to create various kinds of story-plots due to the inflexible nature of a tree or graph structure. It may result in degrading the quality of story-plots to provide similar story-plot to various kind of user. In this paper, we proposed an approach to create a story-plot based on association analysis of data mining to overcome the disadvantage. In detail, we defined a narrative structure which consists of narrative patterns, and then implemented a story generator which creates a story-plot using the proposed narrative structure. As a result, we confirmed that implemented story generator was able to create a story-plot according to understanding level of user in case study.

• Women's Health Nursing
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• v.4 no.2
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• pp.271-285
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• 1998

The purpose of this study is to explore and describe the experiences of postpartal woman, Korean postpatal care that Korean women experience afterbirth, to find the meaning of their lived experiences and to contribute to the base Korean maternal nursing. The method is to phenomenological through participant in depth interview. The subjects of this study were 8 women who are 1 week to less or over 100 days afterbirth. Their age rang from 22 to 33. All available data was collected from 26th of March 1988 to 10 of July 1998. A tape recorder was used with the permission of the subjects to prevent the loss of spoken information. The analysis of the data was made through Colaizzi's. The result of the study was as follow: There were eleven themes and 8 structures, Structure 1 : Acceptance to the traditional Sanhujori, Structure 2 : Powerlessness, Structure 3 : Disappointment and Being sorry, Structure 4 : Attachment as mother, Structure 5 : Anxiety on bring up, Structure 6 : Praying the well being of baby. Structure 7 : Negative body image 8 : Information seeking, Structure. In conclusion, nurses have to help Korean women afterbirth who are in difficulties physically, emotionally, socio-psychologically as direct caregivers and educators. As continually finding out the Korean postpartal care. Sanhujori, we can build the our original maternal nursing.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.08a
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• pp.216-216
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• 2011

We will investigate the bonding configurations of phenylalanine and tyrosine adsorbed on the Ge(100) surface using CLPES and DFT calculations. First, the C 1s, N 1s, and O 1s spectra obtained at 300 K revealed that both the amine and carboxyl groups of phenylalanine and tyrosine concurrently participated in adsorption on the Ge(100) surface without bond breaking using CLPES, depending on the extent of coverage. In the second place, we confirmed that the "O-H dissociated-N dative bonded structure" is the most stable structure implying kinetically favorable structure, and the "O-H dissociation bonded structure" is another stable structure manifesting thermodynamically advantageous structure using DFT calculations. This tendency turns up both phenylalanine and tyrosine, similarly. Furthermore, through the CLPES data and DFT calculation data, we discovered that the "O-H dissociated-N dative bonded structure" and the "O-H dissociation bonded structure" are preferred at 0.30 ML and 0.60 ML, respectively. Moreover, we found that the phenyl ring of phenylalanine is located in axial position to Ge(100) surface, but the phenyl ring of tyrosine is located in parallel to Ge(100) surface using DFT calculations.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.45-52
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• 2021

The capital structure is one of the hot financial topics among researchers and scholars. Its importance comes from the fact that capital structure is closely related to companies' ability to meet different stakeholders' needs. A suitable capital structure will boost the business and create a competitive advantage in the context of fierce competition. Many companies choose an optimal debt level based on the trade-off between interest and debt costs. This study aimed to test the existence of trade-off theory in capital structure, the case of Vietnam's real estate companies, which are growing very fast recently. Instead of considering constant optimal leverage to test the trade-off model, we take advantage of the dynamic capital structure determined by growth opportunities, profitability, tax incentives, tangibility, liquidity, and firm size. The dynamic panel data regression was estimated by the system Generalized Method of Moment (Sys-GMM). The empirical evidence showed that real estate companies listed in the Vietnamese stock market might change their leverage toward a target capital structure determined by influential factors in a long-term perspective. In particular, the debt-to-asset ratio will change by approximately 14 percent, positively, in response to the difference between the current debt-to-asset ratio and the dynamic target debt-to-asset ratio.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.4
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• pp.171-180
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• 2016

As social networking services such as twitter become increasingly popular, data streams are widely prevalent these days. In order to search data accumulated from data streams efficiently, the use of an index structure is essential. In this paper, we propose an update-efficient, disk-based inverted index structure for efficient keyword search on data streams. When new data arrive at the data stream, the index needs to be updated to incorporate the new data. The traditional inverted index is very inefficient to update in terms of disk I/O, because all index data stored in the disk need to be read and written to the disk each time the index is updated. To solve this problem, we divide the whole inverted index into a sequence of inverted indices with exponentially increasing size. When new data arrives, it is first inserted into the smallest index and, later, the small indices are merged with the larger indices, which leads to a small amortize update cost for each new data. Furthermore, when indices stored in the disk are merged with each other, we minimize the disk I/O cost incurred for the merge operation, resulting in an even smaller update cost. Through various experiments, we compare the update efficiency of the proposed index structure with the previous one, and show the performance advantage of the proposed structure in terms of the update cost.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.8
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• pp.261-270
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• 2014

As Internet traffic increases recently, much effort has been put on improving the performance of a web server. In addition to hardware side solutions such as replacement by high-end hardware or expansion of the number of servers, there are software side solutions to improve performance. Recent studies on these software side solutions have been actively performed. In this paper, we identify performance degradation problems occurring in a conventional TCP networking reception process and propose a way to solve them. We improve performance by combining three kinds of existing methods for Linux Networking Performance Improvement and two kinds of newly proposed methods in this paper. The three existing methods include 1) an allocation method of a packet flow to a core in a multi-core environment, 2) ITR(Interrupt Throttle Rate) method to control excessive interrupt requests, and 3) sk_buff data structure recycling. The two newly proposed methods are fd data structure recycling and epoll_event data structure recycling. Through experiments in a web server environment, we verify the effect of our two proposed methods and its combination with the three existing methods for performance improvement, respectively. We use three kinds of web servers: a simple web server, Lighttpd generally used in Linux, and Apache. In a simple web server environment, fd data structure recycling and epoll_event data structure recycling bring out performance improvement by about 7 % and 6%, respectively. If they are combined with the three existing methods, performance is improved by up to 40% in total. In a Lighttpd and an Apache web server environment, the combination of five methods brings out performance improvement by up to 36% and 20% in total, respectively.

• Korean Journal of Rural Living Science
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• v.5 no.1
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• pp.57-66
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• 1994

The purpose of the study was to analyze the family structure in rural Korea systematically and comprehensively according to the broad concept. The data was collected from 810 rural households by interview method with questionnaire. For the analysis, family structure was divided into aspects of static structure and dynamic structure. The static structure was constructed by two components of demographic structure and typological structure. The dynamic structure was also constructed by three components of decision making structure, role structure, and dynamic relationship structure of family members. In demographic structure, family size was 4.1 persons, families, with more female were 35.2%, and families with elder husband than wife were 82.5%, In the typological structure, nuclear family type with two-generation was predominant. In dynamic structure, role structure was autonomic type while conjugal power structure was compounded type with autonomic, syncratic, and husband-dominant type.

• Journal of Society of Preventive Korean Medicine
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• v.17 no.2
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• pp.179-187
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• 2013

Objectives : In many cases, patient's symptoms have been recorded on EMR in natural language instead of medical terminologies. It is possible to build a database by analyzing the symptoms of Korean Medicine(KM) that indicates patient's symptoms in natural language. Using the database, when doctors record patient's symptoms on EMR in natural language, conversely it'll be also possible to extract the symptoms of KM from those natural language. The database will enhance the value of EMR as a medical data. Methods : In this study, we aimed to make data structure of the terminologies that represent the symptoms of KM. The data structure is combinations of smallest unit in natural language. We made the database by analyzing morpheme of the natural language to express the symptoms of KM. Results & Conclusions : By classifying the natural language in 15 features, we made the structure of concept and the data available for morphological analysis.