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Expansion of Topic Modeling with Word2Vec and Case Analysis (Word2Vec를 이용한 토픽모델링의 확장 및 분석사례)

  • Yoon, Sang Hun;Kim, Keun Hyung
    • The Journal of Information Systems
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    • v.30 no.1
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    • pp.45-64
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    • 2021
  • Purpose The traditional topic modeling technique makes it difficult to distinguish the semantic of topics because the key words assigned to each topic would be also assigned to other topics. This problem could become severe when the number of online reviews are small. In this paper, the extended model of topic modeling technique that can be used for analyzing a small amount of online reviews is proposed. Design/methodology/approach The extended model of being proposed in this paper is a form that combines the traditional topic modeling technique and the Word2Vec technique. The extended model only allocates main words to the extracted topics, but also generates discriminatory words between topics. In particular, Word2vec technique is applied in the process of extracting related words semantically for each discriminatory word. In the extended model, main words and discriminatory words with similar words semantically are used in the process of semantic classification and naming of extracted topics, so that the semantic classification and naming of topics can be more clearly performed. For case study, online reviews related with Udo in Tripadvisor web site were analyzed by applying the traditional topic modeling and the proposed extension model. In the process of semantic classification and naming of the extracted topics, the traditional topic modeling technique and the extended model were compared. Findings Since the extended model is a concept that utilizes additional information in the existing topic modeling information, it can be confirmed that it is more effective than the existing topic modeling in semantic division between topics and the process of assigning topic names.

Content Recommendation Techniques for Personalized Software Education (개인화된 소프트웨어 교육을 위한 콘텐츠 추천 기법)

  • Kim, Wan-Seop
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.95-104
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    • 2019
  • Recently, software education has been emphasized as a key element of the fourth industrial revolution. Many universities are strengthening the software education for all students according to the needs of the times. The use of online content is an effective way to introduce SW education for all students. However, the provision of uniform online contents has limitations in that it does not consider individual characteristics(major, sw interest, comprehension, interests, etc.) of students. In this study, we propose a recommendation method that utilizes the directional similarity between contents in the boolean view history data environment. We propose a new item-based recommendation formula that uses the confidence value of association rule analysis as the similarity level and apply it to the data of domestic paid contents site. Experimental results show that the recommendation accuracy is improved than when using the traditional collaborative recommendation using cosine or jaccard for similarity measurements.

Review of Clinical Studies of Traditional Chinese Medicine on Genito-Pelvic Pain/Penetration Disorder in Women (음부-골반통/삽입질환에 대한 중의학 임상연구 동향)

  • Nam, Eun-Young
    • The Journal of Korean Obstetrics and Gynecology
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    • v.32 no.3
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    • pp.214-226
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    • 2019
  • Objectives: The purpose of this study is to review clinical studies of Traditional Chinese medicine (TCM) on Genito-Pelvic Pain/Penetration Disorder (GPPPD) in women. Methods: Key words "Dyspareunia", "Vaginismus" were searched on Chinese National Knowledge Infrastructure Database (CNKI) on April 21th 2019. Results: 2 case reports and 7 clinical trials were collected in accordance with the selection and exclusion criteria. Among the 7 trials, 4 were controlled trials, and 3 were single-arm trials. The types of intervention were herb medication in 8 studies, and compound TCM treatment including acupuncture, moxibustion, and cupping therapy in 1 study. All 4 controlled trials were about dyspareunia and conducted by herbal medicine of TCM. The study results and methods of intervention were analyzed. Conclusions: 2 case reports described the effectiveness of compound TCM treatments (acupuncture, moxibustion, cupping therapy) and herb medicine in dyspareunia. In 4 controlled trials, 2 trials described the effectiveness of herb medicine (oral or vaginal agent) compared to western treatment in dyspareunia, and other 2 trials described no effectiveness of herbal enema compared to danazol. In 3 single-arm trials, 1 trial of dyspareunia and 2 trials of vaginismus described the effectiveness of herb medicine. All the 9 selected studies reported improved or disappeared symptoms of GPPPD, or high effective rate after TCM treatment. There was limitation that the selected studies were retrieved from only one site of CNKI, and generalized results could not be derived, further studies should be carried out. Additional well-designed clinical studies on GPPPD in women are needed in Korea.

Isolation of MLL1 Inhibitory RNA Aptamers

  • Ul-Haq, Asad;Jin, Ming Li;Jeong, Kwang Won;Kim, Hwan-Mook;Chun, Kwang-Hoon
    • Biomolecules & Therapeutics
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    • v.27 no.2
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    • pp.201-209
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    • 2019
  • Mixed lineage leukemia proteins (MLL) are the key histone lysine methyltransferases that regulate expression of diverse genes. Aberrant activation of MLL promotes leukemia as well as solid tumors in humans, highlighting the urgent need for the development of an MLL inhibitor. We screened and isolated MLL1-binding ssRNAs using SELEX (${\underline{S}}ystemic$ ${\underline{E}}volution$ of ${\underline{L}}igands$ by ${\underline{E}}xponential$ enrichment) technology. When sequences in sub-libraries were obtained using next-generation sequencing (NGS), the most enriched aptamers-APT1 and APT2-represented about 30% and 26% of sub-library populations, respectively. Motif analysis of the top 50 sequences provided a highly conserved sequence: 5'-A[A/C][C/G][G/U][U/A]ACAGAGGG[U/A]GG[A/C] GAGUGGGU-3'. APT1, APT2, and APT5 embracing this motif generated secondary structures with similar topological characteristics. We found that APT1 and APT2 have a good binding activity and the analysis using mutated aptamer variants showed that the site information in the central region was critical for binding. In vitro enzyme activity assay showed that APT1 and APT2 had MLL1 inhibitory activity. Three-dimensional structure prediction of APT1-MLL1 complex indicates multiple weak interactions formed between MLL1 SET domain and APT1. Our study confirmed that NGS-assisted SELEX is an efficient tool for aptamer screening and that aptamers could be useful in diagnosis and treatment of MLL1-mediated diseases.

Improvement Measures for Construction Education System in Specialized High School (특성화 고등학교의 건설교육 및 훈련체계 개선방안)

  • You, Sunggon;Son, Changbaek
    • Korean Journal of Construction Engineering and Management
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    • v.20 no.3
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    • pp.97-104
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    • 2019
  • The construction industry is heavily dependent on labor force as automation to building constructions is difficult due to its characteristics such on-site production, custom manufacturing production. Thus, while securing and fostering high-quality functional manpower for stable construction work are significant, the construction workforce has been persistently lacking compared to demand. Young workers are reluctant to enter the construction industry due to high labor intensity, unstable employment structure, and uncertainty for the future. The employment rate for new jobs in the construction industry is half as high as in others. Currently, the departments related to construction are organized in specialized high school to conduct training for young workers. The graduates have a low ratio of employment rate to the construction industry and functional capacities fallen short of expectations. In this study, the education and training conditions of specialized high schools were analyzed to derive problems and key improvements of the education system were drawn. As an improvement for the analysis results, it provides solutions such as giving advantages of previous education experience, expand industry-academic cooperation with businesses, and expand links with external educational institutions.

A Study on the Improvement of Evaluation Methods for Roadside Slope Revegetation - Focus on the Cut-soil Slope - (도로비탈면 녹화공사 평가방법의 개선 방안 연구 - 절토부 토사를 중심으로 -)

  • Kim, Nam-Choon
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.23 no.6
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    • pp.187-200
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    • 2020
  • Despite the eco-friendly route plan, road slopes were collapsed due to road construction, resulting in human and property damage. To solve this problem, the Ministry of Land, Transport and Maritime Affairs established guidelines in 2009 to conduct a test-bed for slope recording considering the conditions of the site and the ecological environment, and divided them into recording quality and economic evaluation. The following results were obtained by analyzing 183 construction methods of cut-soil sections at 60 sites from 2012 to 2018 for road slope afforestation research. Straw net+seedspray, vegetation media spray method 1T, 3T were used the most, and vegetation media spray method 3T(patent) was excellent in quality, and straw net+seedspray was excellent in economics. As a result of analyzing the market unit price and the construction unit price, vegetation media spray method submitted the construction unit price at up to 60% lower than the market unit price. As a result of the analysis of the key factors of the greening method evaluation, the economic assessment had the greatest influence on all evaluation items. Problems in the evaluation method of revegetation were first identified as problems in the allocation of points and secondly as problems in the evaluation criteria. As for the improvement of the economic assessment criteria, the method was proposed to evaluate the same method based on market unit price when the same method was constructed, and not to conduct an economic assessment if there was a difference in market unit price between methods, or to add weight to the scores. Based on the monitoring data of 60 road slopes, this study drew up problems and improvement measures. However, with regard to scoring, research on appropriate scoring is needed by examining the current status.

A Study on the Relationship between Zygoma Diagnosis and Life Span (권골(顴骨) 망진(望診)과 수요(壽夭)의 관계에 대한 고찰(考察))

  • Ahn, Jinhee;Kim, Jong-hyun
    • Journal of Korean Medical classics
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    • v.34 no.1
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    • pp.135-148
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    • 2021
  • Objectives : The purpose of this paper is to study the correlation between cheekbone and life span prediction. Methods : The 『Huangdineijing』 was searched for verses that include terms that refer to the zygoma such as '顴骨', '䪼', '頄', '目下', '墻'. Terms such as '大骨' that are directly related to life span were searched as well, of which the results were analyzed. The relationship between bone shape and life span, the characteristic of facial bone diagnosis, the relationship between zygoma diagnosis and life span, and zygoma related contents in physiognomy texts such as the 『Mayixiangfa』 were examined. Results & Conclusions : Dagu[大骨, big bone] refers to bones in major joints that reflect the condition of Essence Qi, which is why the diagnosis of Dagu is key to determining one's life span. The zygoma is the big bone of the face, and a bad complexion in this area reflects pathogenic heat penetration into the Kidney, which is the foundation of Yin. As Kidney water as Yin Essence is directly connected to life, complexion change in the zygomatic area is highly relevant to life span. Moreover, as one of the main bones where the Kidney Essence is concentrated, the zygoma is the last to stand when the body is deteriorating, as it is the manifestation of heightened bone qi that is rooted in Yin Essence, thus an important site that provides clues to determine one's life span.

Analysis of Success and Failure Factors of OTT Service Contents According to the Rating: Focus on Netflix (평점에 따른 OTT 서비스 콘텐츠의 성공과 실패 요인 분석: 넷플릭스를 중심으로)

  • Hong, Ji-Soo;Park, Jin-Soo;Kang, Sung-Woo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.4
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    • pp.65-75
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    • 2021
  • This study explores multiple variables of an OTT service for discovering hidden relationship between rating and the other variables of each successful and failed content, respectively. In order to extract key variables that are strongly correlated to the rating across the contents, this work analyzes 170 Netflix original dramas and 419 movies. These contents are classified as success and failure by using the rating site IMDb, respectively. The correlation between the contents, which are classified via rating, and variables such as violence, lewdness and running time are analyzed to determine whether a certain variable appears or not in each successful and failure content. This study employs a regression analysis to discover correlations across the variables as a main analysis method. Since the correlation between independent variables should be low, check multicollinearity and select the variable. Cook's distance is used to detect and remove outliers. To improve the accuracy of the model, a variable selection based on AIC(Akaike Information Criterion) is performed. Finally, the basic assumptions of regression analysis are identified by residual diagnosis and Dubin Watson test. According to the whole analysis process, it is concluded that the more director awards exist and the less immatatable tend to be successful in movies. On the contrary, lower fear tend to be failure in movies. In case of dramas, there are close correlations between failure dramas and lower violence, higher fear, higher drugs.

Electron Transfer to Hydroxylase through Component Interactions in Soluble Methane Monooxygenase

  • Lee, Chaemin;Hwang, Yunha;Kang, Hyun Goo;Lee, Seung Jae
    • Journal of Microbiology and Biotechnology
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    • v.32 no.3
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    • pp.287-293
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    • 2022
  • The hydroxylation of methane (CH4) is crucial to the field of environmental microbiology, owing to the heat capacity of methane, which is much higher than that of carbon dioxide (CO2). Soluble methane monooxygenase (sMMO), a member of the bacterial multicomponent monooxygenase (BMM) superfamily, is essential for the hydroxylation of specific substrates, including hydroxylase (MMOH), regulatory component (MMOB), and reductase (MMOR). The diiron active site positioned in the MMOH α-subunit is reduced through the interaction of MMOR in the catalytic cycle. The electron transfer pathway, however, is not yet fully understood due to the absence of complex structures with reductases. A type II methanotroph, Methylosinus sporium 5, successfully expressed sMMO and hydroxylase, which were purified for the study of the mechanisms. Studies on the MMOH-MMOB interaction have demonstrated that Tyr76 and Trp78 induce hydrophobic interactions through π-π stacking. Structural analysis and sequencing of the ferredoxin domain in MMOR (MMOR-Fd) suggested that Tyr93 and Tyr95 could be key residues for electron transfer. Mutational studies of these residues have shown that the concentrations of flavin adenine dinucleotide (FAD) and iron ions are changed. The measurements of dissociation constants (Kds) between hydroxylase and mutated reductases confirmed that the binding affinities were not significantly changed, although the specific enzyme activities were significantly reduced by MMOR-Y93A. This result shows that Tyr93 could be a crucial residue for the electron transfer route at the interface between hydroxylase and reductase.

A Case Study on Product Production Process Optimization using Big Data Analysis: Focusing on the Quality Management of LCD Production (빅데이터 분석 적용을 통한 공정 최적화 사례연구: LCD 공정 품질분석을 중심으로)

  • Park, Jong Tae;Lee, Sang Kon
    • Journal of Information Technology Services
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    • v.21 no.2
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    • pp.97-107
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    • 2022
  • Recently, interest in smart factories is increasing. Investments to improve intelligence/automation are also being made continuously in manufacturing plants. Facility automation based on sensor data collection is now essential. In addition, we are operating our factories based on data generated in all areas of production, including production management, facility operation, and quality management, and an integrated standard information system. When producing LCD polarizer products, it is most important to link trace information between data generated by individual production processes. All systems involved in production must ensure that there is no data loss and data integrity is ensured. The large-capacity data collected from individual systems is composed of key values linked to each other. A real-time quality analysis processing system based on connected integrated system data is required. In this study, large-capacity data collection, storage, integration and loss prevention methods were presented for optimization of LCD polarizer production. The identification Risk model of inspection products can be added, and the applicable product model is designed to be continuously expanded. A quality inspection and analysis system that maximizes the yield rate was designed by using the final inspection image of the product using big data technology. In the case of products that are predefined as analysable products, it is designed to be verified with the big data knn analysis model, and individual analysis results are continuously applied to the actual production site to operate in a virtuous cycle structure. Production Optimization was performed by applying it to the currently produced LCD polarizer production line.