• Title/Summary/Keyword: R&D classification

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Comparison of policy perceptions between national R&D projects and standing committees using topic modeling analysis : focusing on the ICT field (토픽모델링 분석을 활용한 국가연구개발사업과제와 국회 상임위원회 사이의 정책 인식 비교 : ICT 분야를 중심으로)

  • Song, Byoungki;Kim, Sangung
    • Journal of Industrial Convergence
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    • v.20 no.7
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    • pp.1-11
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    • 2022
  • In this paper, numerical values are derived using topic modeling among data-based evaluation methodologies discussed by various research institutes. In addition, we will focus on the ICT field to see if there is a difference in policy perception between the national R&D project and standing committee. First, we create model for classifying ICT documents by learning R&D project data using HAN model. And we perform LDA topic modeling analysis on ICT documents classified by applying the model, compare the distribution with the topics derived from the R&D project data and proceedings of standing committees. Specifically, a total of 26 topics were derived. Also, R&D project data had professionally topics, and the standing committee-discuss relatively social and popular issues. As the difference in perception can be numerically confirmed, it can be used as a basic study on indicators that can be used for future policy or project evaluation.

Active Selection of Label Data for Semi-Supervised Learning Algorithm (준감독 학습 알고리즘을 위한 능동적 레이블 데이터 선택)

  • Han, Ji-Ho;Park, Eun-Ae;Park, Dong-Chul;Lee, Yunsik;Min, Soo-Young
    • Journal of IKEEE
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    • v.17 no.3
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    • pp.254-259
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    • 2013
  • The choice of labeled data in semi-supervised learning algorithm can result in effects on the performance of the resultant classifier. In order to select labeled data required for the training of a semi-supervised learning algorithm, VCNN(Vector Centroid Neural Network) is proposed in this paper. The proposed selection method of label data is evaluated on UCI dataset and caltech dataset. Experiments and results show that the proposed selection method outperforms conventional methods in terms of classification accuracy and minimum error rate.

Edge Computing based Escalator Anomaly Detection and Defect Classification using Machine Learning (머신러닝을 활용한 Edge 컴퓨팅 기반 에스컬레이터 이상 감지 및 결함 분류 시스템)

  • Lee, Se-Hoon;Kim, Ji-Tae;Lee, Tae-Hyeong;Kim, Han-Sol;Jung, Chan-Young;Park, Sang-Hyun;Kim, Pung-Il
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.13-14
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    • 2020
  • 본 논문에서는 엣지 컴퓨팅 환경에서 머신러닝을 활용해 에스컬레이터 이상 감지 및 결함 분류를 하는 연구를 진행하였다. 엣지 컴퓨팅 기반 머신러닝을 사용해 에스컬레이터의 이상 감지 및 결함 분류를 위한 OneM2M환경을 구축하였으며 에스컬레이터에서 발생하는 소음에서 고장 유형에 따라 나타나는 주파수를 이용한다. Edge TPU를 활용해 엣지 컴퓨팅 시스템의 처리량을 최대화하고, 각 작업의 수행시간을 최소화함으로써 엣지 컴퓨팅 환경에서 이상 감지와 결함 분류를 수행할 수 있다.

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Interspecific Distinguishability of Veiled Lady Mushrooms (Dictyophora spp.) Based on rDNA-ITS Analysis (rDNA-ITS 분석에 의한 망태버섯속균(Dictyophora spp.)의 종간 구분 가능성)

  • Cheong, Jong-Chun;Lee, Myung-Chul;Kim, Bum-Gi;Park, Dong-Seok;Hong, Sung-Beom;Park, Jeong-Sik
    • The Korean Journal of Mycology
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    • v.32 no.1
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    • pp.1-7
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    • 2004
  • To establish the phylogenetic relationships of Dictyophora spp., rDNA-ITS regions of 11 strains of veiled lady mushroom collected from various countries were amplified and sequenced. It was observed that the 11 strains were divided into four groups based on PCR band patterns of each ITS region cleaved by eight different restriction enzymes in cleaved amplified polymorphic sequence analysis (CAPS). The phylogenic relationship of each group by cleaved amplified polymorphic sequence (CAPS) analysis matches well with previously reported morphological phylogeny, such as 5 strains of D. indusiata, 4 strains of D. echinovolvata, and a strain of Phallus rugulosus. Sequence analysis using the cluster V methods showed more detail classification than CAPS analysis. The 5.8S region showed two point nucleotide base exchanges from G to A according to four groups, and four groups were subdivided by sequence variation of ITS I and ITS II regions. But sequence variation of Phallus rugulosus was not showed in full ITS region. This study further delineates the taxonomic level at which ITS sequences, in comparison to ribosomal gene sequence, are most useful in systematics and other mushroom study.

Molecular phylogenie location of the Plagiorchis muris(Digenea, Plagiorchiidae) based on sequences of partial 28S D1 rDNA and mitochondrial cytochrome C oxidase subunit I

  • Lee, Soo-Ung;Huh, Sun;Sohn, Woon-Mok
    • Parasites, Hosts and Diseases
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    • v.42 no.2
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    • pp.71-75
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    • 2004
  • To determine the molecular phylogenie location of Plagiorchis muris, 28S D1 ribosomal DNA (rDNA) and mitochondrial cytochrome C oxidase subunit I (mtCOI) were sequenced and compared with other trematodes in the family Plagiorchiidae. The 28S D1 tree of P. muris was found to be closely related to those of P. elegans and other Plagiorchis species. And, the mtCOI tree also showed that P. muris is in a separate clade with genus Glypthelmins. These results support a phylogenie relationship between members of the Plagiorchiidae, as suggested by morphologic features.

Comparative Study on the Weldability of Different Shipbuilding Steels

  • Laitinen, R.;Porter, D.;Dahmen, M.;Kaierle, S.;Poprawe, R.
    • International Journal of Korean Welding Society
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    • v.2 no.2
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    • pp.7-13
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    • 2002
  • A comparison of the welding performance of ship hull structural steels has been made. The weldability of steels especially designed for laser processing was compared to that of conventional hull and structural steels with plate thicknesses up to 12 mm. Autogenous laser beam welding was used to weld butt joints as well as skid and stake welded T-joints. The welds were assessed in accordance with the document "The Classification Societies" Requirements for Approval of $CO_2$ Laser Welding Procedures" Small imperfections in the weld only grew slightly in root bend tests and they only had a minor influence on the fatigue properties of laser fillet welded joints. In Charpy impact tests, the 27 J transition temperature of the weld metal and HAZ ranged from below -60 to $-50^{\circ}C$. The amount of martensite in the weld metal depended on the carbon equivalent of the steel with the highest amounts and highest hardness levels in conventional EH 36 (389 HV 5). Thermomechanically rolled steels contained less martensite and showed a correspondingly lower maximum hardness.ximum hardness.

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COMPARATIVE STUDY ON THE WELDABILITY OF DIFFERENT SHIPBUILDING STEELS

  • Laitinen, R.;Porter, D.;Dahmen, M.;Kaierle, S.;Poprawe, R.
    • Proceedings of the KWS Conference
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    • 2002.10a
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    • pp.222-228
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    • 2002
  • A comparison of the welding performance of ship hull structural steels has been made. The weldability of steels especially designed for laser processing was compared to that of conventional hull and structural steels with plate thicknesses up to 12 mm. Autogenous laser beam welding was used to weld butt joints as well as skid and stake welded T-joints. The welds were assessed in accordance with the document "The Classification Societies′ Requirements for Approval of $CO_2$ Laser Welding Procedures". Small imperfections in the weld only grew slightly in root bend tests and they only had a minor influence on the fatigue properties of laser fillet welded joints. In Charpy impact tests, the 27 J transition temperature of the weld metal and HAZ ranged from below -60 to -5$0^{\circ}C$. The amount of martensite in the weld metal depended on the carbon equivalent of the steel with the highest amounts and highest hardness levels in conventional EH 36 (389 HV 5). Thermomechanically rolled steels contained less martensite and showed a correspondingly lower maximum hardness.

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A Study on National R&D Report Reference Technological Improvement (국가R&D보고서 참고문헌 기술항목 구축 개선방안 연구)

  • Lee, Kangsandajeong;Lee, Hyejin;Hyun, Mihwan
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.31-42
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    • 2022
  • The purpose of this study is to analyze the reference data of the National R&D Report database built by the Korea Institute of Science and Technology Information(KISTI) to derive problems and to find complementary points for the construction technical items in the system. To this end, we investigated the descriptions of references in the National R&D Report constructed in the KISTI DB and analyzed the construction process, guidelines, types, items, etc. Based on this, the appropriateness and accuracy of the classification results of the reference types constructed with the DB were checked. As a result, the problems of the items built into the system and corrections to the construction guidelines were derived. Through this, database construction can proceed efficiently and data quality is expected to improve. In addition, a follow-up study was proposed on the convergence service plan that can be provided in the future through standardization of technical regulations.

Classification of Noise Insulation Performance in Apartment Buildings through Noise survey and Auditory Experiment (설문조사와 청감실험을 통한 공동주택 차음성능의 평가등급 설정)

  • Ryu, Jong-Kwan;Jeon, Jin-Yong
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.11a
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    • pp.666-669
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    • 2005
  • Social noise survey and auditory experiment on residential noises such as floor impact, air-borne, bathroom, drainage and traffic noises were conducted to classily a noise insulation Performance in apartment building. The survey results showed that annoyance among subjective responses to residential noises was most greatly affecting to satisfaction with noises. In the survey, boundary limit between satisfaction and dissatisfaction was also determined. Auditory experiments was also undertaken to determine noise insulation performance according to the percent of satisfaction for individual noise source. Result of auditory experiment showed that the noise insulation performance for floor impact, airborne, drainage and traffic noise corresponding to 40 % satisfaction is 49 dB (L$_{i,Fmax,AW}$), 48 dB (R'w), N-41, and N-40, respectively. Finally, classes of noise insulation performance in apartment building were proposed according to satisfaction with noises

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Bag of Visual Words Method based on PLSA and Chi-Square Model for Object Category

  • Zhao, Yongwei;Peng, Tianqiang;Li, Bicheng;Ke, Shengcai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.7
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    • pp.2633-2648
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    • 2015
  • The problem of visual words' synonymy and ambiguity always exist in the conventional bag of visual words (BoVW) model based object category methods. Besides, the noisy visual words, so-called "visual stop-words" will degrade the semantic resolution of visual dictionary. In view of this, a novel bag of visual words method based on PLSA and chi-square model for object category is proposed. Firstly, Probabilistic Latent Semantic Analysis (PLSA) is used to analyze the semantic co-occurrence probability of visual words, infer the latent semantic topics in images, and get the latent topic distributions induced by the words. Secondly, the KL divergence is adopt to measure the semantic distance between visual words, which can get semantically related homoionym. Then, adaptive soft-assignment strategy is combined to realize the soft mapping between SIFT features and some homoionym. Finally, the chi-square model is introduced to eliminate the "visual stop-words" and reconstruct the visual vocabulary histograms. Moreover, SVM (Support Vector Machine) is applied to accomplish object classification. Experimental results indicated that the synonymy and ambiguity problems of visual words can be overcome effectively. The distinguish ability of visual semantic resolution as well as the object classification performance are substantially boosted compared with the traditional methods.