• Journal of KIISE:Software and Applications
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• v.36 no.3
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• pp.226-235
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• 2009

People use various information for searching POI in the navigation system such as name, category, address, phone number. Most of users use name and category to search their POT. They don't know exact name in POI DB provided by Maker. They use abbreviated or generalized name as key word for searching POI. Because of these reasons, the hit ratio has been very low. In this paper, We suggest a extra DB_construction system for raising the hit ratio. It generates allomorphes DB link to the POI name in original DB. We classified the POI names in original DB into seven types of allomorph by analyzing the gathered patterns from the POI DB which has over 650,000 entries. For auto_generating the allomorphes, we made 577 rules based on the classified types. And we generated the allomorphes manually for the entries which are difficult to make the rule and has low frequency The generated allomorphes account for 35.8% of all original DB. The hit ratio is 89% under suggested system.

• Journal of Acupuncture Research
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• v.33 no.1
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• pp.79-93
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• 2016

Objectives : The purpose of this study is to explore research trends in gold implantation therapy performed on the animal and human body, through a review of clinical studies focused on gold thread, gold needle and gold bead. Methods : Medical databases, including Pubmed, CENTRAL, MEDLINE, EMBASE, RISS4u, KISTI, OASIS and KTKP, were searched for relevant articles published from their launch to December 31, 2015 using the key word 'gold' with '$thread^*$', '$needle^*$', '$acupuncture^*$', '$wire^*$', '$bead^*$', '$embed^*$', '$implant^*$', or '$insert^*$'. The results were classified into in vivo studies, clinical trials and clinical reports. Analysis of the results was conducted in several research areas, from the identity of studies such as nationality and published year, to the gold preparations-features and implanted locations and to the outcomes that reflect the clinically favorable or adverse effect of gold implantation therapy. Results : A total of 30 studies including 11 in vivo studies, 4 clinical trials and 15 case reports, were found in the search. We observed certain research trends according to the research time, nationality and target indication of the studies. The studies primarily revealed a chronic local inflammatory response which could be a useful mechanism for pain-relief in musculoskeletal diseases and facial rejuvenation. Researches concerning long-term reactions or adverse effects were rare. Conclusion : The results show that the efforts to discover the level of clinical efficacy of gold implantation therapy were steady and worldwide. However, further researches on the longterm effect, and more importantly, the safety of gold implantation therapy are required.

• The Korea Journal of Herbology
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• v.30 no.4
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• pp.45-49
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• 2015

Objectives : Through this study, it would be confirmed that specific expression for efficacy of medicinal material has multiple meanings. And through the methodology to determine the multi meaning, it could be contributed to lighten ambiguous expressions for efficacy of medicinal material.Methods : The premise is that the efficacy and treatment target data are related to each other. Word cloud has been used analyzing the efficacy and treatment target data for medicinal materials. Then classic and modern documents were analyzed by the search.Results : Even though searching all related references as well as comparing the efficacy and treatment target data were done, some medicinal materials having 'Salchung[殺蟲]' as an efficacy are not expected to treat the disease associated with the parasite. Through the analysis of classic and modern documents, it was found that 'Salchung[殺蟲]' is not used only as a means of anthelmintic efficacy. But through the above analysis method some medicinal materials having 'Guchung[驅蟲]' as an efficacy are expected to treat the disease associated with the parasite, and 'Guchung[驅蟲]' seems to be almost used as a means of anthelmintic efficacy.Conclusions : If a certain expression for efficacy of medicinal material is used as a single meaning obviously, ambiguous expressions need to be clear. And if a certain expression for efficacy of medicinal material seems to have multiple meanings, the additional informations are to be supplemented for exact wording.

• Journal of The Korean Association of Information Education
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• v.20 no.4
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• pp.333-340
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• 2016

When elementary students write their own sentences, it is often educationally beneficial to compare them with other people's similar sentences. However, it is impractical for use in most classrooms, because it is burdensome for teachers to look up all of the sentences written by students. To cope with this problem, we propose a novel approach for automatic selection of similar sentences based on a three-step process: 1) extracting the subword units from the word-level sentences, 2) training the model with the encoder-decoder architecture, and 3) using the approximate k-nearest neighbor search algorithm to find the similar sentences. Experimental results show that the proposed approach achieves the accuracy of 75% for our test data.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.279-284
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• 2020

Advances in technology are bringing a lot of change.. Due to Korea's economic growth, domestic companies are expanding overseas unlike in the past.. Recently, many small and medium-sized companies, in addition to large companies, are making inroads in Southeast Asian markets thanks to the Korean Wave. This study used the international academic database scopus to identify trends in the company's overseas expansion strategy. A search was conducted under the title of the word overseas advancement strategy, which secured a total of 153 papers. Abstracts of the research paper were refined for analysis and then analyzed using KoNLP package. As a result, 10 important keywords were derived. The purpose of this study is to identify the research trends of companies in overseas market through these results. This study provides a guideline for future research on overseas expansion strategies.

• The Journal of the Acoustical Society of Korea
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• v.22 no.4
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• pp.299-307
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• 2003

There have been many studies on speaker normalization which aims to minimize the effects of speaker's vocal tract length on the recognition performance of the speaker independent speech recognition system. In this paper, we propose a simple vector quantizer based linear warping speaker normalization method based on the observation that the vector quantizer can be successfully used for speaker verification. For this purpose, we firstly generate an optimal codebook which will be used as the basis of the speaker normalization, and then the warping factor of the unknown speaker will be extracted by comparing the feature vectors and the codebook. Finally, the extracted warping factor is used to linearly warp the Mel scale filter bank adopted in the course of MFCC calculation. To test the performance of the proposed method, a series of recognition experiments are conducted on discrete HMM with thirteen mono-syllabic Korean number utterances. The results showed that about 29% of word error rate can be reduced, and that the proposed warping factor extraction method is useful due to its simplicity compared to other line search warping methods.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.63-71
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• 2011

The current Web portal sites provide significant keywords with high popularity or importance; specifically, user-friendly services such as tag clouds and associated word search are provided. However, in general, since news articles are classified only with their date and categories, it is not easy for users to find other articles related to some articles while reading news articles classified with categories. And the conventional associated keyword service has not satisfied users sufficiently because it depends only upon user queries. This paper proposes a way of searching news articles by utilizing the keywords tightly associated with users' queries. Basically, the proposed method discovers a set of keyword association patterns by using the association rule mining technique that extracts association patterns for keywords by focusing upon sentences containing some keywords. The method enables users to navigate the space of associated keywords hidden in large news articles.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.358-377
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• 2015

In this paper, we propose a novel approach for trajectory recovery. Our system uses a triangulation procedure for skeletonization and graph theory to extract the trajectory. Skeletonization extracts the polyline skeleton according to the polygonal contours of the handwritten characters, and as a result, the junction becomes clear and the characters that are touching each other are separated. The approach for the trajectory recovery is based on graph theory to find the optimal path in the graph that has the best representation of the trajectory. An undirected graph model consisting of one or more strokes is constructed from a polyline skeleton. By using the polyline skeleton, our approach accelerates the process to search for an optimal path. In order to evaluate the performance, we built our own dataset, which includes testing and ground-truth. The dataset consist of thousands of handwritten characters and word images, which are extracted from five handwritten documents. To show the relative advantage of our skeletonization method, we first compare the results against those from Zhang-Suen, a state-of-the-art skeletonization method. For the trajectory recovery, we conduct a comparison using the Root Means Square Error (RMSE) and Dynamic Time Warping (DTW) in order to measure the error between the ground truth and the real output. The comparison reveals that our approach has better performance for both the skeletonization stage and the trajectory recovery stage. Moreover, the processing time comparison proves that our system is faster than the existing systems.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.4
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• pp.2223-2227
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• 2016

Background: Breast cancer is the most common cancer among Iranian women. Since development of the disease in Iranian women occurs relatively early, the survival rate matters considerably. In different countries, survival of breast cancer patients varies considerably. Therefore, the one-year, three-year, five-year, and ten-year survival rates for breast cancer in Iran were assessed using a meta-analysis. Materials and Methods: This systematic review and meta-analysis was based on valid Iranian sources including SID, MAGIRAN and IRANMEDEX, along with reliable English databases, namely, PUBMED and SCOPUS. In domestic databases, a search was conducted based on key words of breast cancer and survival rate, and in international databases, with "breast cancer" and the equivalent of "neoplasm" of Mesh Word, "survival rate" and "Iran." Then all reviewed papers and theses which met the inclusion criteria were selected for investigation. To conduct the analysis STATA 11.2 software and random-effects models were used. Results: In 24 studies, 22,745 participants were included. The one-year, three-year, five-year and ten-year survival rates were 0.956, 0.808, 0.695 and 0.559, respectively. The minimum and maximum survival rates for 5-years were 0.48 and 0.87. The average age of the onset of the disease was 48.3. Conclusions: As in Iran, since the onset of the disease is at low age, in spite of the relatively high survival rate as compared to other cancers, prevention and screening programs at early age for early stage diagnosis seems necessary.

• Knowledge Management Research
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• v.18 no.3
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• pp.81-99
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• 2017

This study is to compare the main subjects of domestic and foreign knowledge management research in terms of keywords and to clarify whether domestic knowledge management research reflects research trends in overseas knowledge management research. Specifically, we try to find out whether the central activities such as knowledge sharing, knowledge generation, and acquisition, which are knowledge management activities of knowledge management research, are being studied without bias. In order to analyze this, we analyzed the data of domestic and foreign knowledge management research for the last 5 years from 2012 to 2016. In Korea, the Knowledge Management Society of Korea collected 167 papers and 787 keywords, and collected 132 papers and 640 keywords from the Korea Society of Management Information Systems in order to distinguish the research areas. Overseas papers collected 315 papers and 1,746 keywords published by Emerald. Also, we collected 382 papers and 1,633 keywords in the Korean Management Review and collected 646 papers and 2,879 keywords in the Korean Business Education Review. Frequency analysis and network analysis of 1,642 papers and 7,685 keywords are summarized as follows. The Knowledge Management Society of Korea has focused on knowledge sharing, and in 2016, interest in knowledge transfer and knowledge search has shifted. The Journal of Knowledge Management, which is published by Emerald, has been a major concern for knowledge transfer and knowledge sharing. The research trends of the Korea Society of Management Information Systems to distinguish a clear identity of knowledge management research are focusing on smart area and mobile domain such as information security domain, cloud, smart phone, and smart work. In the Korea Society of Management Information Systems research, the main subject of knowledge sharing is also commonly found.