• Culinary science and hospitality research
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• v.23 no.3
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• pp.257-270
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• 2017

The purpose of this study was to visualize the semantic network with big data related to food exhibition at convention center. For this, this study collected data containing 'coex food exhibition/bexco food exhibition' keywords from web pages and news on Google during one year from January 1 to December 31, 2016. Data were collected by using TEXTOM, a data collecting and processing program. From those data, degree centrality, closeness centrality, betweenness centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of hospitality and destinations was high. In addition, the web visibility was also high for convention center programs, such as festival, exhibition, k-pop and event; hospitality related words, such as tourists, service, hotel, cruise, cuisine, travel. Convergence of iterated correlations showed 4 clustered named "Coex", "Bexco", "Nations" and "Hospitality". It is expected that this diagnosis on food exhibition at convention center according to changes in domestic environment by using these web information will be a foundation of baseline data useful for establishing convention marketing strategies.

• Journal of the Korean Institute of Landscape Architecture
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• v.27 no.4
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• pp.137-142
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• 1999

The purpose of this study is to develope a CAD-based tool for rasterization of polygonal vector map in AutoCAD. To identity the layer property of polygonal entity with user-defined coordinates as topology, algorithm in processing entity data of selection set that intersected with scan line was used, and the layers were extracted sequentially by sorted intersecting points in data-list. In addition to the functions for querying and modifying topology, two options for mapping were set up to construct plan projection type and to change meshes' properties in existing DTM data. In case of plan projection type, user-defined cell size of 3DFACE mesh is available for more detailed edge, and topological draping on landform can be executed in case of referring DTM data as an AutoCAD's drawing. The concept of algorithm was simple and clear, but some unexpectable errors were found in detecting intersected coordinates that were AutoCAD's error, not the utility's. Also, the routines to check these errors were included in algorithmic processing. Developed utility named MESHMAP was written in entity data control functions of AutoLISP language and dialog control language(DCL) for the purpose of user-oriented interactive usage. MESHMAP was proved to be more effective in data handling and time comparing with GRIDMAP module in LANDCADD which has similar function.

• Culinary science and hospitality research
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• v.23 no.4
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• pp.22-32
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• 2017

The purpose of this study was to explore awareness of food tourism using big data analysis. For this, this study collected data containing 'food tourism' keywords from google web search, google news, and google scholar during one year from January 1 to December 31, 2016. Data were collected by using SCTM (Smart Crawling & Text Mining), a data collecting and processing program. From those data, degree centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of 'core service' and 'social marketing' was high. In addition, the web visibility was also high for destination, such as rural, place, ireland and heritage; 'socioeconomic circumstance' related words, such as economy, region, public, policy, and industry. Convergence of iterated correlations showed 4 clustered named 'core service', 'social marketing', 'destinations' and 'social environment'. It is expected that this diagnosis on food tourism according to changes in international business environment by using these web information will be a foundation of baseline data useful for establishing food tourism marketing strategies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.61-69
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• 2021

On-demand broadcast is an effective data dissemination technique in mobile computing environments. This paper explores the issues for scheduling multi-data queries in on-demand broadcast environments, and proposes a new broadcast scheduling scheme named CASS. The proposed scheme prioritizes queries by reflecting the characteristics of multi-data queries, and selects the data that has not been broadcast in the query for the longest time as the broadcast data according to the query priority. Simulation is performed to evaluate the performance of CASS. The simulation results show that the proposed scheme outperforms other schemes in terms of the average response time since it can show highly desirable characteristics in the aspects of query data adjacency and data conflict rate.

• Journal of the Korean Data and Information Science Society
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• v.20 no.4
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• pp.629-637
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• 2009

This study suggests two types of indices to evaluate individual student's achievement of foreign language abilities between two time points. One, named uniform achievement index, is defined as the ratio of additional score between two time points to the total score range of a test. The second one, named relative achievement index, is defined as the ratio of additional scores between two time points to the remaining score at the base time point to the full score if the score is improved during the given period of time, and if not, is defined as the ratio of the amount of losing scores to the difference of the score at the base time point from the least score of the test. Two indices are both having values between -1 to 1, and easy to interpret. Also, they are eligible to compare scores from different tests at the same time. However, relative achievement index will be more useful to compare student having different base scores because it is consider each student's test score at the base time.

• Korean Journal of Head & Neck Oncology
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• v.14 no.1
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• pp.3-14
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• 1998

Objectives: Many complicated problems exist in establishing head and neck cancer(HNCa) patient registry system. In this study, a newly devised and simplified approach named as 'Single Sheet Multiple Event System' was compared with a conventional approach named as 'Multiple Sheet System'. Material and Method: According to several kinds of registry sheets in the two systems, data were collected from 486 patients with HNCa diagnosed at Department of Otolaryngology, Seoul National University Hospital from 1979 through 1994. Results: The new system produced more simple and efficient data retrieval. Conclusion: It could make the implementation of HNCa patient registry system more simple and efficient.

• Journal of Korean Academy of Nursing
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• v.16 no.3
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• pp.11-21
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• 1986

The purposes of this study were to clarify whether the health belief model could explain the women's adoption of sterilization and to find the factors which influence the adoption of sterilization. To achieve these purpose, 35 women, who visited the family planning hospital to undergo an surgical operation for sterilization, were selected and named the group of adoption. Also, 36 women, who have the same demographic characteristics as the group of adoption, and have no sterilization among the married women, were selected and named the group of non-adoption. The measuring instruments used in this study were made by the researchers on the basis of the results of the review of the related literatures. The validity of these instruments was examined by one professor majoring in nursing and two family plmanning practioners. The reliability was proven by calculation of Cronbach's α with data of the group of adoption. The data was analyzed by t-test, X²-test, and ANOVA using Computer SAS system. The results were following: 1. Health belief model could be said to explain whether women accept the sterilization or not, because the degrees of susceptibility and severity for future pregnancy and the degree of benefit or adoption of sterilization in the group of ad-option are higher than those of the group of non-adoption. 2. Influence of demographic variables on health belief variables was as follows. With advancing ages, degree of susceptibility increased in the group of adoption, and the higher the number of artificial abortion increased, the higher degree of barrier increased in the group of non-adoption. Suggestions for further studies and application to the nursing practice are as follows 1. If one wants to educate the non-adoption women, one would be better to give such information as to increase the perception of susceptibility, severity and benefit. 2. New instrument to measure the perceived barrier which includes such items as fear on well-ness of the existing children, objection of husband and postoperative complication, is needed. 3. A study to find the change of perception on health belief variables is needed, after education to increase the level of perceived susceptibility and severity on the future pregnancy, and benefit on sterilization is given.

• Journal of Fashion Business
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• v.22 no.2
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• pp.27-39
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• 2018

This study analyzed the body shape of women over 70 years and classified their body shapes in order to provide basic data for the development of pants patterns that can complement the weakness of the body shape of elderly women. It were analyzed using SPSS Ver. 20.0. Five factors were extracted from the lower body: obesity and thigh thickness, lower body length, under knee thickness, ankle height, and hip sag. In type 1, the lower body was obese and the legs were thick, but the hips were not sagging. It was named 'high-hip obesity figure'. Type 2's abdomen, hip, and waist were obese, but the legs were thin and the hip were not sagging. Thus, 'bird-leg middle obesity figure' was the name. Type 3 had a long and slender lower body, but legs were thick and the hips were saggy, it was named 'strong-leg low-hip slender figure'. The elderly women showed less difference in waist, abdomen, and hip circumference. The abdominal circumference was 2-3cm more than the waist and hip circumference; hence there is a need to differentiate the shape and number of darts in the production of bottom-wear patterns for older women. In addition, the leg circumference is gradually reduced by aging compared to the size of the lower body. Therefore, it would be necessary to search for a method that can effectively design the difference between the hip circumference and the leg circumference in relation to the body shape and the aesthetics of older women.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.4
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• pp.219-228
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• 2006

Many biomedical research groups have been trying to share their outputs to increase the efficiency of research. As part of their efforts, a common ontology named Gene Ontology(GO), which comprises controlled vocabulary for the functions of genes, was built. However, data from many research groups are distributed and most systems don't support integrated semantic queries on them. Furthermore, the semantics of the associations between concepts from external classification systems and GO are still not clarified, which makes integrated semantic query infeasible. In this paper we present an ontology matching and integration system, called AutoGOA, which first resolves the semantics of the associations between concepts semi-automatically, and then constructs integrated ontology containing concepts from GO and external classification systems. Also we describe a web-based application, named GOGuide II, which allows the user to browse, query and visualize integrated data.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.15-23
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• 2022

In the field of patents, as NLP(Natural Language Processing) is a challenging task due to the linguistic specificity of patent literature, there is an urgent need to research a language model optimized for Korean patent literature. Recently, in the field of NLP, there have been continuous attempts to establish a pre-trained language model for specific domains to improve performance in various tasks of related fields. Among them, ELECTRA is a pre-trained language model by Google using a new method called RTD(Replaced Token Detection), after BERT, for increasing training efficiency. The purpose of this paper is to propose KorPatELECTRA pre-trained on a large amount of Korean patent literature data. In addition, optimal pre-training was conducted by preprocessing the training corpus according to the characteristics of the patent literature and applying patent vocabulary and tokenizer. In order to confirm the performance, KorPatELECTRA was tested for NER(Named Entity Recognition), MRC(Machine Reading Comprehension), and patent classification tasks using actual patent data, and the most excellent performance was verified in all the three tasks compared to comparative general-purpose language models.