• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.160-161
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• 2017

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language Opinion mining and sentiment analysis(OMSA) as a research discipline has emerged during last 15 years and provides a methodology to computationally process the unstructured data mainly to extract opinions and identify their sentiments. The relatively new but fast growing research discipline has changed a lot during these years. This paper presents a scientometric analysis of research work done on OMSA during 2007-2016. For the literature analysis, research publications indexed in Web of Science (WoS) database are used as input data. The publication data is analyzed computationally to identify year-wise publication pattern, rate of growth of publications, research areas. More detailed manual analysis of the data is also performed to identify popular approaches (machine learning and lexcon-based) used in these publications, levels (documents, sentences or aspect-level) of sentiment analysis work done and major application areass of OMSA.

• Journal of Korean Medicine Rehabilitation
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• v.31 no.2
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• pp.49-55
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• 2021

Objectives The impact of social and economic losses on society due to the occurrence of osteoporosis patients is serious. The purpose of this study is to identify the types and effects of herbal medicine for osteoporosis and osteopenia. Methods We will investigate 8 online databases (MEDLINE/PubMed, Cochrane library, EMbase, China National Knowledge Infrastructure [CNKI], J-stage, National Digital Science Library [NDSL], Research Information Sharing Service [RISS], Koreanstudies Information Service System [KISS]) without language, publication date limitation for the clinical study of herbal medicine for osteoporosis and osteopenia published between the start of the database and 2021. The frequency, duration and pattern of the any type of herbal medicine utilization will be analyzed. Results Randomized controlled trials about herbal medicine or herbal medicine extracts for osteoporosis and osteopenia should be included in the study. Cochrane risk in bias tools will be used to evaluate the methodological quality of the study. A risk ratio or mean difference with a 95% confidence interval will show the effects of herbal medicine or herbal medicine extracts for osteoporosis and osteopenia. Conclusions The results of the systematic review will reflect the current status of herbal medicine treatment for osteoporosis and osteopenia, and it can be expected to verify the validity of the effectiveness, and provide it as a basic data for the use of herbal medicine in clinical utilization.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.209-215
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• 2018

The purpose of this study is to grasp the overall policy decision system of sex crime prevention policy and analyze the interaction and pattern of actors in policy formation process. This is a useful way to identify the causes and ways to improve the policy if the sex crime prevention policy fails. As a research method, we used a model of advocacy through case analysis and language network analysis. In the external environment, low reporting of sex offenses, technical improvement and supplement for preventive management, consciousness of victims of sexual crimes, amendment of legislation, and support of the president. The conflicts between the advocacy coalition opposed the strong regulation, the prevention of recidivism, the expansion of the range of objects to be worn, the temporary effect of the system and the retrospective of the bill. As a problem-solving strategy, it was confirmed that the opposing positions of pros and cons of lack of manpower and negligence of management through the extension of the system were acutely opposed. In the context of media reports, this tendency is more likely to be understood as the concern of prevention and management at the central government level to prevent sex crimes. Therefore, although the methods of prevention of sex crimes have been insufficient in the past, it is hoped that this study will be helpful in breaking the link of negative policy vicious cycle.

• Journal of Fashion Business
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• v.2 no.3
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• pp.121-136
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• 1998

The purpose of this study was to present a new research method of stage costume by designing and making the stage costume of Yean-GaeSoMoon(淵蓋蘇文) in Peking Opera Du Mu Guan (Korean; Dog Mog Guan, 獨木關). The stage costume of Peking Opera was formed on the basis of the Chinese traditional stage costume in the Qing period, however the style of stage costume was beautified the costume of Ming period and here contained the factors of successive costumes. But the stage costume of Peking Opera didn't have the same rank system with real history costume and didn't have demarcation according to period and history. In the stage costume of Peking Opera, the color is cultural language that can inform spectators of sex, age, personality, position of characters. The pattern of decoration also symboled the personality and characteristic of the character. Yean-GaeSoMoon in the play wore green armour (Chinese; ru ying kao 綠硬靠), red pants (Chinese; hong ku 紅褲), red mustache (Chinese; hong ran kou 紅髥口), crown (Chinese; da e zi 大額子), shoes (Chinese; hou di xue 厚底靴) and Xue RenGui wore white armour (Chinese; baikao 白靠), red pants (Chinese; hong ku 紅褲), shoes (Chinese; hou di xue 厚底靴), hat (Chinese; za jin 扎巾). By historical materials, Yean-GaeSoMoon was a nationalist who uphold national sprit and the greatest hero of the age and a charismatic politician who combines literatural arts with military arts. Considering these reviews, defined the thema of his new costumes' image as "the flying bird which has three legs"(三足鳥), the bird which symbolized the sun and immortality in Koguryo fresco. On the basis of this image, presented three types of Yean-GaeSoMoon's stage costume. Yean-GaeSoMoon as the minister in the court wore black gown (Chinese; mang pao 蟒袍) of dargon pattern which symbolizes harisma who opening the heaven. He as the general who directs war wore red mantle (Chinese; dou peng 斗蓬) which symbolizes the blue dragon that soaring into the sky, as the officer who fights the enemy's general wore green armour (Chinese; gai liang jia 改良甲), red pants (Chinese; hong ku 紅褲) which symbolizes the flying Sward that blowing violently. By wearing these stage costumes, the image of Yean-GaeSoMoon could changed from the fierce general of minority race who likes to fight, to the Koguryo general who fights against enemy at the risk of his life for Koguryo's autonomy. Through this study once again we could realized that stage costume played very mportant part In outstnding the characteristic of actor in the Peking Opera.

• Journal of Society of Occupational Therapy for the Aged and Dementia
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• v.12 no.2
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• pp.47-55
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• 2018

Objective : The purpose of this study is to consider the change of hand function according to the quality of sleep and to find out a correlation among the quality of sleep and hand function, and sleep disturbing factors. Method : 23 patients who were hospitalized more than 6 months from Nov. 2017 to Jan. 2018 were tested for the quality of sleep used by sleep quality scale, for the grip strength used by a dynamometer, and for the coordination used by BBT and 9-Hole Peg test. The collected data were analyzed to implement the paired t-test and Pearson correlation coefficient. Result : In the high grade group of sleep score, the quality of sleep & BBT, and the grip strength & BBT have correlated each other; and in the medium group, only the latter has shown a correlation. In both groups, the quality of sleep and the sleep pattern have showed significant high correlation. Conclusion : When the elderly in geriatric hospitals show qualitative differences, BBT and the combination of treatment for the improvement of grip strength can improve the quality of sleep. And the sleep pattern intervention is considered to be effective to improve the quality of sleep.

• Journal of KIISE
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• v.43 no.6
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• pp.653-661
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• 2016

The existing pattern-based triple generation systems based on distant supervision could be flawed by assumption of distant supervision. For resolving flaw from an excessive assumption, statistics information has been commonly used for measuring confidence of patterns in previous studies. In this study, we proposed a more accurate confidence measure based on semantic similarity between patterns and properties. Unsupervised learning method, word embedding and WordNet-based similarity measures were adopted for learning meaning of words and measuring semantic similarity. For resolving language discordance between patterns and properties, we adopted CCA for aligning bilingual word embedding models and a translation-based approach for a WordNet-based measure. The results of our experiments indicated that the accuracy of triples that are filtered by the semantic similarity-based confidence measure was 16% higher than that of the statistics-based approach. These results suggested that semantic similarity-based confidence measure is more effective than statistics-based approach for generating high quality triples.

• Speech Sciences
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• v.15 no.3
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• pp.203-217
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• 2008

The number of Asian women immigrants in Korea is getting bigger and it's important to note that their communication problem in Korean causes not only the difficulty of adapting to Korean society but their children's speech-language disorder. To date there is little research on their acoustics characters and articulatory errors. Therefore, this study focuses on acoustic characters and articulatory error patterns of the women immigrants from Japan and Philippine based on the theory of "contrastive analysis". The subjects were 16 Japanese women immigrants(age: 42.5$\pm$4.4) and 14 Philippine women immigrants(age: 31.64$\pm$6.7) and control group consisted of 10 Korean women(age: 28.3$\pm$1.2). Speech and hearing of all subjects and control group were within normal limits. Speech samples were analyzed in a computer using CSL and data analysis was done on FFT widow for F1, F2, F3 of vowels and on wideband spectrogram for VOT of plosives and africatives. The results of this study were like this; For Japanese women immigrants, they had different articulatory patterns of /e/, /a/, /u/, /o/, /$\varepsilon$/, /m/ from those of Koreans and showed articulatory errors on the fortis and aspirated sounds. The reason is Japanese has only two distinctive characters for plosives and affricates; voicing and voiceless. The Philippine women immigrants also showed the same error patterns as the Japanese women immigrants. Especially the errors on aspirated sounds were prominent because their mother tongue has no distinctive characters about aspirated sounds. For vowels, they showed errors of /a/, /o/, /c/.

• Journal of KIISE:Software and Applications
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• v.30 no.1_2
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• pp.73-80
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• 2003

The Java programming language is designed for developing effective applications in a heterogeneous network environment. Major problem in Java is its performance. many attractive features of Java make the development of software easy, but also make it expensive to support ; applications written in Java are often much slower than their counterparts written in C or C++. To use Java`s attractive features without the performance penalty, sophisticated optimizations and runtime systems are required. Optimising Java bytecode has several advantages. First, the bytecode is independent of any compiler that is used to generate it. Second, the bytecode optimization can be performed as a pre=pass to Just-In-Time(JIT) compilation. Many attractive features of Java make the development of software easy, but also make it expensive to support. The goal of this work is to develop automatic construction of code optimizer for Java bytecode. We`ve designed and implemented a Bytecode Optimizer that performs the peephole optimization, bytecode-specific optimization, and method-inlining techniques. Using the Classfile optimizer, we see up to 9% improvement in speed and about 20% size reduction in Java class files, when compared to average code using the interpreter alone.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.341-347
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• 2017

As the amount of document data increases, the user needs summarized information to understand the document. However, existing document summary research methods rely on overly simple statistics, so there is insufficient research on multiple document summaries for ambiguity of sentences and meaningful sentence generation. In this paper, we investigate semantic connection and preprocessing process to process unnecessary information. Based on the vocabulary semantic pattern information, we propose a multi-document summarization method that enhances semantic connectivity between sentences using VAE. Using sentence word vectors, we reconstruct sentences after learning from compressed information and attribute discriminators generated as latent variables, and semantic connection processing generates a natural summary sentence. Comparing the proposed method with other document summarization methods showed a fine but improved performance, which proved that semantic sentence generation and connectivity can be increased. In the future, we will study how to extend semantic connections by experimenting with various attribute settings.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.146-147
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• 2017

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.