• The Journal of Korean Obstetrics and Gynecology
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• v.30 no.2
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• pp.120-132
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• 2017

Objectives: The purpose of this study was to examine clinical studies on the treatment of dysmenorrhea treatments and analyze the results to provide sufficient evidence to provide adequate evidence of the efficacy of the ear-acupuncture treatment on dysmenorrhea patients. Methods: The search for foreign papers used 'Pubmed', a research engine in the America National Library of Medicine. Used searching terms were 'dysmenorrhea' and 'menstrual pain' in all cases. And among these studies, we searched by using key word 'auricular acupuncture' or 'ear acupuncture' or 'auricular acupressure' or 'ear acupressure'. Results: Overall 53 studies, 7 studies were finally selected to this study. There was 1 controlled study, 3 clinical trials, and 3 randomized-control studies. About acupoints in study, the endocrine was used in all 7 papers. Internal genitals, shenmen, sympathesis, kidney, liver were used in 4 papers, central rim, hypo-cortex, uterus were used in 2 papers, central of cymba auriculae was used in 2 paper. In 4 papers, the effect of ear acupuncture treatment was effective in relieving menstrual pain. Moreover, we can see that ear acupuncture therapy was effective in reducing menstrual pain than in oriental herb medicine. Conclusions: As a result of the 7 papers, we found that patients with menstrual pain decreased after ear acupuncture therapy. However, there was little research and it was limited to achieving the results of the analysis. A vigorous clinical study should be conducted to demonstrate the efficacy of ear acupuncture therapy and standardize treatment methods.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.1
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• pp.93-104
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• 2015

As interest grows in nursing-wear in accordance with dissemination of breast-feeding, a study on opening of nursing-wear is needed to enhance convenience of breast-feeding regardless of location. In this study, the items on nursing-wear were classified and each characteristic was analyzed. The types and characteristics of opening on nursing-wear were identified and the characteristics of nursing brassier closely related to the nursing-wear were also identified. Top 5 companies for the nursing-wear and nursing-brassier were selected by ranking top 5 in NAVER with the search word 'nursing-wear' and 'nursing-brassier'. 732 one-piece and top (t-shirt and blouse) which have the highest portion in the nursing-wear were selected as the subject. Based on the photo, product explanation on the internet and in-depth interview of designer, the types and characteristics of openings for each item were identified. 732 nursing-brassier were selected to study the types and openings in breast-feeding. The result is as follows. Firstly, the item of nursing-wear can be classified into top, one-piece, package of top and the bottom, and sleeveless. Top and one-piece have the highest production rate. Secondly, the types of the openings are either covering or opening types. There are vertical-slit and horizontal-slit in covering type, and vertical-zipper, horizontal-zipper, and button types in opening type, and overlap and pocket type for the rest. Thirdly, the commercially available nursing-brassier according to the opening manner can be classified into upper-opening, middle-opening, and overlap types. Most largely produced product is upper-opening type as it minimizes the exposure of the breast in breast-feeding. When producing the nursing-brassier, the measurement of the lower breast and cup size are considered.

• Journal of the Korea Computer Industry Society
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• v.5 no.9
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• pp.859-872
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• 2004

With the rapid advance of computer and communication techonology, the recent trend of education environment is edveloping in the ubiquitous learning (u-learning) direction that learners select and organize the contents, time and order of learning by themselves. Since the amount of education information through the internet is increasing rapidly and it is managed in document in an effective way is necessary. The document clustering is integrated documents to subject by classifying a set of documents through their similarity among them. Accordingly, the document clustering can be used in exploring and searching a document and it can increased accuracy of search. This paper proposes an efficient incremental clustering method for a set of documents increase gradually. The incremental document clustering algorithm assigns a set of new documents to the legacy clusters which have been identified in advance. In addition, to improve the correctness of the clustering, removing the stop words can be proposed.

• Korean Institute of Interior Design Journal
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• v.15 no.5 s.58
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• pp.85-94
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• 2006

Due to multidisciplinary characteristic of the Interior Design field, it has developed into complex interdisciplinary field. Therefore Interior Design field has grown and established its major trends dependent upon other related field of study. With this perspective in mind, esthetics on Interior Design has to be treated in similar manner. In modem architects or artists have defined the terminology 'object' theoretical principle where by unable to distinguish between 'object's type' and 'objects', Presently, the term 'object' became a trend word. In order to confront misconception of the idea of 'Objectification', some people definition as reflection of this complex society. In this paper, it will establish a solid groundwork for a discussion on Objectification. The initial approach will deal with Le Corbusier and esthetics, which is the center of argument. By reviewing theoretical background of the related modern art, the paper discusses about the relationship between Le Corbusier and esthetics. Subsequently, the discussion about the criterions necessary to define object is provided. This paper only suggests a methodology of analyzing a trend in Interior Design. The condition to define Objectification in Interior Design, which is a result of the reviewing process on esthetics, can be concluded as 'modeling form(transformation of morphological meaning with change wrought by causing a visual reaction)', 'mixtures and modification of materials(transformation and spontaneity through mixing materials)' and 'elements greatly influence space' of the Interior Design.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.103-112
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• 2020

Job seekers are making various efforts to find a good company and companies attempt to recruit good people. Job search activities through self-introduction essay are nowadays one of the most active processes. Companies spend time and cost to reviewing all of the numerous self-introduction essays of job seekers. Job seekers are also worried about the possibility of acceptance of their self-introduction essays by companies. This research builds a classification model and conducted an experiments to classify self-introduction essays into pass or fail using deep learning and decision tree techniques. Real world data were classified using stratified sampling to alleviate the data imbalance problem between passed self-introduction essays and failed essays. Documents were embedded using Doc2Vec method developed from existing Word2Vec, and they were classified using logistic regression analysis. The decision tree model was chosen as a benchmark model, and K-fold cross-validation was conducted for the performance evaluation. As a result of several experiments, the area under curve (AUC) value of PV-DM results better than that of other models of Doc2Vec, i.e., PV-DBOW and Concatenate. Furthmore PV-DM classifies passed essays as well as failed essays, while PV_DBOW can not classify passed essays even though it classifies well failed essays. In addition, the classification performance of the logistic regression model embedded using the PV-DM model is better than the decision tree-based classification model. The implication of the experimental results is that company can reduce the cost of recruiting good d job seekers. In addition, our suggested model can help job candidates for pre-evaluating their self-introduction essays.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.389-397
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• 2017

Recently semantic web document is produced and added in repository in a cloud computing environment and requires an intelligent semantic agent for analytical classification of documents and information retrieval. The traditional methods of information retrieval uses keyword for query and delivers a document list returned by the search. Users carry a heavy workload for examination of contents because a former method of the information retrieval don't provide a lot of semantic similarity information. To solve these problems, we suggest a key word frequency and concept matching based semantic clustering model using hadoop and NoSQL to improve classification accuracy of the similarity. Implementation of our suggested technique in a cloud computing environment offers the ability to classify and discover similar document with improved accuracy of the classification. This suggested model is expected to be use in the semantic web retrieval system construction that can make it more flexible in retrieving proper document.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.600-608
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• 2017

Recently data growth rates are growing exponentially according to the rapid expansion of internet. Since users need some of all the information, they carry a heavy workload for examination and discovery of the necessary contents. Therefore information retrieval must provide hierarchical class information and the priority of examination through the evaluation of similarity on query and documents. In this paper we propose an Multi-class support vector machines model based clustering for hierarchical document categorization that make semantic search possible considering the word co-occurrence measures. A combination of hierarchical document categorization and SVM classifier gives high performance for analytical classification of web documents that increase exponentially according to extension of document hierarchy. More information retrieval systems are expected to use our proposed model in their developments and can perform a accurate and rapid information retrieval service.

• The Journal of Korean Medicine
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• v.41 no.2
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• pp.80-95
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• 2020

Objectives: The purpose of this study is to assess the quality of the Journal of Korean medicine case reports. Methods: Case reports published in the Journal of Korean Medicine from January 2015 to March 2020 were selected by using Oriental Medicine Advanced Searching Integrated System (OASIS) and the journal search system of the Korean Medical Association (https://www.jkom.org). The quality of the case reports was assessed using the Consensus-based Clinical Case Reporting Guideline Development (CARE) guidelines. Results: 33 case reports were selected for the assessment. Based on the CARE guidelines, 61.54% of the case reports included necessary information, but the quality level was uneven. More than 60% of the reports were missing data regarding 'Discussion of the strengths and limitations in your approach to this case', 'Intervention adherence and tolerability', 'Timeline', 'Medical, family, and psychosocial history including relevant genetic information', 'Patient perspective or experience', 'Adverse and unanticipated events', 'Administration of intervention', and 'De-identified demographic information and other patient specific information'. In most reports of over 90%, data regarding 'Diagnostic challenges', 'Intervention adherence and tolerability', and 'Key word' were not included. Conclusions: Efforts are needed to improve the quality of case reports in the Journal of Korean Medicine, and it is necessary to develop appropriate guidelines for case reporting for the Journal of Korean Medicine. In addition, all articles submitted to the Journal of Korean Medicine are to be complied with submission instructions and CARE guidelines.

• Journal of Korean Library and Information Science Society
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• v.47 no.1
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• pp.175-198
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• 2016

This study intends to implement a OPAC prototype for digital kids. To the end, this study applies prototyping techniques that design, evaluate and improve an early sample model. Included in this study are as follows: (1) design a conceptual model of new OPACs based on the information need analysis of digital kids, (2) implement a OPAC prototype with WordPress 4.2 version, (3) evaluate the prototype OPAC from the viewpoint of digital kids and children librarians, and finally, (4) suggest the improved model and implementational strategies for kid's OPAC. 6 fourth and fifth graders in the elementary school and 5 children librarians in public libraries participate in the final evaluation process.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2133-2138
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• 2017

The analysis of existing XML documents and other documents was centered on words. It can be implemented using a morpheme analyzer, but it can classify many words in the document and cannot grasp the core contents of the document. In order for a user to efficiently understand a document, a paragraph containing a main word must be extracted and presented to the user. The proposed system retrieves keyword in the normalized XML document. Then, the user extracts the paragraphs containing the keyword inputted for searching and displays them to the user. In addition, the frequency and weight of the keyword used in the search are informed to the user, and the order of the extracted paragraphs and the redundancy elimination function are minimized so that the user can understand the document. The proposed system can minimize the time and effort required to understand the document by allowing the user to understand the document without reading the whole document.