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Identifying literature-based significant genes and discovering novel drug indications on PPI network

  • Park, Minseok;Jang, Giup;Lee, Taekeon;Yoon, Youngmi
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.3
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    • pp.131-138
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    • 2017
  • New drug development is time-consuming and costly. Hence, it is necessary to repurpose old drugs for finding new indication. We suggest the way that repurposing old drug using massive literature data and biological network. We supposed a disease-drug relationship can be available if signal pathways of the relationship include significant genes identified in literature data. This research is composed of three steps-identifying significant gene using co-occurrence in literature; analyzing the shortest path on biological network; and scoring a relationship with comparison between the significant genes and the shortest paths. Based on literatures, we identify significant genes based on the co-occurrence frequency between a gene and disease. With the network that include weight as possibility of interaction between genes, we use shortest paths on the network as signal pathways. We perform comparing genes that identified as significant gene and included on signal pathways, calculating the scores and then identifying the candidate drugs. With this processes, we show the drugs having new possibility of drug repurposing and the use of our method as the new method of drug repurposing.

Deep Image Annotation and Classification by Fusing Multi-Modal Semantic Topics

  • Chen, YongHeng;Zhang, Fuquan;Zuo, WanLi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.392-412
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    • 2018
  • Due to the semantic gap problem across different modalities, automatically retrieval from multimedia information still faces a main challenge. It is desirable to provide an effective joint model to bridge the gap and organize the relationships between them. In this work, we develop a deep image annotation and classification by fusing multi-modal semantic topics (DAC_mmst) model, which has the capacity for finding visual and non-visual topics by jointly modeling the image and loosely related text for deep image annotation while simultaneously learning and predicting the class label. More specifically, DAC_mmst depends on a non-parametric Bayesian model for estimating the best number of visual topics that can perfectly explain the image. To evaluate the effectiveness of our proposed algorithm, we collect a real-world dataset to conduct various experiments. The experimental results show our proposed DAC_mmst performs favorably in perplexity, image annotation and classification accuracy, comparing to several state-of-the-art methods.

Development of the Media Art Contents Authoring Tool Using Eclipse-based GMF Technique (Eclipse기반 GMF 기법을 이용한 미디어 아트 콘텐츠 저작도구 개발)

  • Kwak, Jae-Ho;Piao, Songlin;Kim, Whoi-Yul
    • The Journal of the Korea Contents Association
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    • v.11 no.2
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    • pp.113-125
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    • 2011
  • We introduce a media art contents authoring tool called ECAS(Exhibition Contents Authoring System), and methodology employed in its development. ECAS was developed using the graphical user interface to overcome difficulties with existing authoring tools that are text-based. For efficient implementation of graphical user interface, GMF(Graphical Modeling Framework) technique by Eclipse was used. SWT(Standard Widget Toolkit) and JIT(Just-In-Time) were used to improve speed and performance of ECAS. We show convenience and efficiency of ECAS by comparing with existing media art contents authoring tools.

Writer Verification Using Spatial Domain Features under Different Ink Width Conditions

  • Kore, Sharada Laxman;Apte, Shaila Dinkar
    • Journal of Computing Science and Engineering
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    • v.10 no.2
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    • pp.39-50
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    • 2016
  • In this paper, we present a comparative study of spatial domain features for writer identification and verification with different ink width conditions. The existing methods give high error rates, when comparing two handwritten images with different pen types. To the best of our knowledge, we are the first to design the feature with different ink width conditions. To address this problem, contour based features were extracted using a chain code method. To improve accuracy at higher levels, we considered histograms of chain code and variance in bins of histogram of chain code as features to discriminate handwriting samples. The system was trained and tested for 1,000 writers with two samples using different writing instruments. The feature performance is tested on our newly created dataset of 4,000 samples. The experimental results show that the histogram of chain code feature is good compared to other methods with false acceptance rate of 11.67%, false rejection rate of 36.70%, average error rates of 24.18%, and average verification accuracy of 75.89% on our new dataset. We also studied the effect of amount of text and dataset size on verification accuracy.

A Blind Segmentation Algorithm for Speaker Verification System (화자확인 시스템을 위한 분절 알고리즘)

  • 김지운;김유진;민홍기;정재호
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.3
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    • pp.45-50
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    • 2000
  • This paper proposes a delta energy method based on Parameter Filtering(PF), which is a speech segmentation algorithm for text dependent speaker verification system over telephone line. Our parametric filter bank adopts a variable bandwidth along with a fixed center frequency. Comparing with other methods, the proposed method turns out very robust to channel noise and background noise. Using this method, we segment an utterance into consecutive subword units, and make models using each subword nit. In terms of EER, the speaker verification system based on whole word model represents 6.1%, whereas the speaker verification system based on subword model represents 4.0%, improving about 2% in EER.

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A Study on a Chinese Classic Medical Scripture, Ui jong gum gam.Sang han lon ju.Tae yang pyun(${\ulcorner}$醫宗金鑑.傷寒論注${\lrcorner}$太陽篇) ("의종금감(醫宗金鑑).상한논주(傷寒論註)" 태양편(太陽篇)에 대한 연구)

  • Lee, Kwang-Jae;Bang, Jung-Kyun
    • Journal of Korean Medical classics
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    • v.19 no.1 s.32
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    • pp.168-193
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    • 2006
  • ${\ulcorner}$Sanghanlonju Taeyangpyun(傷寒論注 太陽篇)${\lrcorner}$ is a part of ${\ulcorner}$Uijonggumgam(醫宗金鑑)${\lrcorner}$, ${\ulcorner}$Ui jong gum gam${\lrcorner}$ is a voluminous medical book. That was complied by O gyum(吳謙) who was a chief of Taeuiwon(太醫院). In this paper, I speculated O gyum's annotations and compared other annotations in some parts, needed a comparing. O gyum's academic features, appeared in ${\ulcorner}$Sanghanlon ju Taeyangpyun${\lrcorner}$ are as follow. O gyum understood the Taeyang(太陽) as a meaning of Gyounglak(經絡), and explained that the Taeyang part disease arose from a pathologic course of Banggwanggyong(膀胱經). He maintained The Samgangjeonglip(三綱鼎立) theory and restructrured the text order in his own way. He fixed the contents of ${\ulcorner}$Sanghanlon(傷寒論)${\lrcorner}$ to accommodate his medical view. And then he compared and distinguished similar diseases or prescriptions necessary to division clinically. And then about issues of long standing in study of San han lon, he showed his own opinions. Finally, remarking many other commentator's theory, he tried to understand Taeyangpyun(太陽篇).

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BADA-$IV/I^2R$: Design & Implementation of an Efficient Content-based Image Retrieval System using a High-Dimensional Image Index Structure (바다-$IV/I^2R$: 고차원 이미지 색인 구조를 이용한 효율적인 내용 기반 이미지 검색 시스템의 설계와 구현)

  • Kim, Yeong-Gyun;Lee, Jang-Seon;Lee, Hun-Sun;Kim, Wan-Seok;Kim, Myeong-Jun
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.2S
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    • pp.678-691
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    • 2000
  • A variety of multimedia applications require multimedia database management systems to manage multimedia data, such as text, image, and video, as well as t support content-based image or video retrieval. In this paper we design and implement a content-based image retrieval system, BADA-IV/I$^2$R(Image Information Retrieval), which is developed based on BADA-IV multimedia database management system. In this system image databases can be efficiently constructed and retrieved with the visual features, such as color, shape, and texture, of image. we extend SQL statements to define image query based on both annotations and visual features of image together. A high-dimensional index structure, called CIR-tree, is also employed in the system to provide an efficient access method to image databases. We show that BADA-IV/I$^2$R provides a flexible way to define query for image retrieval and retrieves image data fast and effectively: the effectiveness and performance of image retrieval are shown by BEP(Bull's Eye Performance) that is used to measure the retrieval effectiveness in MPEG-7 and comparing the performance of CIR-tree with those of X-tree and TV-tree, respectively.

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A Study on the Acceptance of Pop Musician's Image among Korean Adolescent: - Focusing on Subculture, Fan Costume play - (대중가수 이미지의 청소년 수용에 관한 연구 -팬코스프레 집단을 중심으로-)

  • 한자영;유송옥
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.5
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    • pp.570-581
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    • 2004
  • The purpose of this study is to analyze the acceptance and interpretation of pop musician's image in the Korean youth subculture, Fan Costume play(Fancos). Fancos subculture took the most active attitude to accepts of the pop musician's image and therefore was assumed to have various and differential acceptance aspects. The ethnographic method was used in order to approach more closely from their point of view. The cultural activity of Fancos subculture was imitation and reappearance of pop musician's appearance. Actually Fancos is a kind of fan-culture which idolized Korean pop music star. The acceptance of musician's appearance in Fancos is found out in two aspects. One is passive acceptance aspects that inforces conformity of star fashion and follows servilely ideal body image which promoted by cultural industry. The other is unique acceptance aspects that Fancos members interpret the musician's image in their own way. Those members experience pleasure through their own meaning. And homology of their appearance makes a distinction between of themselves from other youth and intensifies their group identity. As above analyzed, Fancos subculture has differential acceptance of pop music star's image comparing to other youth and even their stylistic appearance reflects not only their fandom but also their own meaning. Consequently, pop musician's image as a popular cultural text is accepted not equal to all populace but dissimilar along with contexts and trails of the acceptance group.

A Study on Residual Stress Characteristics for Joint of Rock in Ring Shear Tests (링 전단시험기를 이용한 암석절리의 잔류강도 특성에 관한 연구)

  • 권준욱;김선명;윤지선
    • Journal of the Korean Geotechnical Society
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    • v.16 no.6
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    • pp.35-41
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    • 2000
  • Residual stress is defined as a minimum stress with a large displacement of specimens and the residual stress after peak shear stress appears with displacement volume but there is no provision to select the residual stress. In the previous study, residual stress was recorded when the change of shear load is small in the condition of the strain more than 15%. But, in this study, hyperbolic function((No Abstract.see full/text), b=experimental constant) of soil test is adapted to joint of rock and the propriety is investigated. In a landslide and landsliding of artificial slope, wedge failure of tunnel with a large displacement, tests are simulated from peak stress to residual stress for safety analysis. But now. direct shear stress and triaxial compressive tests are usually performed to find out characteristics of shear stress about joint. Although these tests get a small displacement, that data of peak stress and residual stress are used for safety analysis. In this study, we tried to determine failure criteria for joints of rock using ring shear test machine. The residual stress following shear behavior was determined by the result of ring shear test and direct shear test. In conclusion, after comparing the results of the two test, we found that cohesion(c) and internal friction angle(ø) of ring shear test are 30% and 22% respectively of those of the direct shear test.

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A Prediction of Stock Price Through the Big-data Analysis (인터넷 뉴스 빅데이터를 활용한 기업 주가지수 예측)

  • Yu, Ji Don;Lee, Ik Sun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.3
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    • pp.154-161
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    • 2018
  • This study conducted to predict the stock market prices based on the assumption that internet news articles might have an impact and effect on the rise and fall of stock market prices. The internet news articles were tested to evaluate the accuracy by comparing predicted values of the actual stock index and the forecasting models of the companies. This paper collected stock news from the internet, and analyzed and identified the relationship with the stock price index. Since the internet news contents consist mainly of unstructured texts, this study used text mining technique and multiple regression analysis technique to analyze news articles. A company H as a representative automobile manufacturing company was selected, and prediction models for the stock price index of company H was presented. Thus two prediction models for forecasting the upturn and decline of H stock index is derived and presented. Among the two prediction models, the error value of the prediction model (1) is low, and so the prediction performance of the model (1) is relatively better than that of the prediction model (2). As the further research, if the contents of this study are supplemented by real artificial intelligent investment decision system and applied to real investment, more practical research results will be able to be developed.