• Title/Summary/Keyword: Deep web

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A bibliometric analysis on deep learning research trends (딥러닝 연구동향에 대한 계량서지적 분석)

  • Lee, Jae Yun
    • Proceedings of the Korean Society for Information Management Conference
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    • 2017.08a
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    • pp.11-14
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    • 2017
  • 딥러닝 연구동향에 대한 계량서지적 분석을 자아 중심 주제 인용분석 기법을 활용하여 시도하였다. 이를 위해서 Web of Science에서 'deep learning'으로 검색된 인용빈도 상위 15건의 논문을 핵심 논문으로 삼고, 이들 핵심 논문 15편을 인용한 논문 집합을 자아 문헌집합으로 삼았으며, 자아 문헌집합들이 인용한 주요 문헌들을 인용 정체성 문헌집합으로 설정하였다. 인용 정체성 문헌집합에 대해 동시인용분석을 실시하여 주요 문헌, 주요 연구 주제를 파악하고, 영향을 끼친 주요 선행 연구를 파악해보았다.

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The Effects on Horizontal Web Reinforcements for Reinforced High Strength Concrete Deep Beams (춤이 깊은 고강도 철근콘크리트 보의 수평전단철근 효과에 관한 연구)

  • 신성우;성열영;안종문;이광수;박무용;김형준
    • Proceedings of the Korea Concrete Institute Conference
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    • 1996.10a
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    • pp.337-344
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    • 1996
  • Reinforced concrete deep beams with conpressive strengths in the range of 500kg/$\textrm{cm}^3$~750kg/$\textrm{cm}^3$ were tested under two-point loding. All the beams were singly reinforced with main steel percent $\rho$=1.29% and with nominal percentage of vertical shear reinflrcements $\rho_v$=0.26%. According to shear-span to depth ratio a/d. The beams were tested for four horizontal shear reinforcement ratio $\rho_h$, ranging from$\rho_h$=0.0 to $\rho_h$=0.53. The results indicate that the horizontal shear reinforcements of beams have an effect on failure load and on ductile behavior of deep beams. The test results are compared with predictions based on the current ACI Building Code. The computated reports in the paper will have designers assured for design of high strength concrete deep beam. Though ACI Code is relatively conservative and tend to non-economical, ACI Code has the merit that is easy to use.

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Research Trends Analysis of Machine Learning and Deep Learning: Focused on the Topic Modeling (머신러닝 및 딥러닝 연구동향 분석: 토픽모델링을 중심으로)

  • Kim, Chang-Sik;Kim, Namgyu;Kwahk, Kee-Young
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.2
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    • pp.19-28
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    • 2019
  • The purpose of this study is to examine the trends on machine learning and deep learning research in the published journals from the Web of Science Database. To achieve the study purpose, we used the abstracts of 20,664 articles published between 1990 and 2017, which include the word 'machine learning', 'deep learning', and 'artificial neural network' in their titles. Twenty major research topics were identified from topic modeling analysis and they were inclusive of classification accuracy, machine learning, optimization problem, time series model, temperature flow, engine variable, neuron layer, spectrum sample, image feature, strength property, extreme machine learning, control system, energy power, cancer patient, descriptor compound, fault diagnosis, soil map, concentration removal, protein gene, and job problem. The analysis of the time-series linear regression showed that all identified topics in machine learning research were 'hot' ones.

Experimental Study on Flexural Structural Performance of Sinusoidal Corrugated Girder (파형 웨브주름 보의 휨성능에 관한 실험적 연구)

  • Kim, Jong Sung;Chae, Il Soo
    • Journal of Korean Society of Steel Construction
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    • v.27 no.6
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    • pp.503-511
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    • 2015
  • In long span steel structure, the plate girder reinforced with stiffeners are commonly used. When choosing the cross section with deep depth of girder as well as narrow width, however, out of plane buckling can be a problem due to web slenderness. In an effort to solve this issue, current study determined the applicability of using corrugated web girder with deep depth as bending member, which is generally being utilized in both factory and warehouse nationwide. To accomplish this, we performed the loading test of H-shaped beam with sinusoidal corrugated web. Corrugated web CP-2.3 specimen exhibited 12% less maximal bending strength but CP-3.2 specimen exerted 24% increase in strength compared to plate web P-4.5. this result indicates that corrugated web provides enough strength even with unfavorable width-thickness ratio of plate. And bending as well as shear strength estimated by the Eurocode (EN 1993-1-5) were compared with both bending strength by loading test and shear strength estimated by KBC2009. In case of eurocode, increase in plate thickness did not help in bending performance improvement. moreover, shear performance was sensitive to the thickness of the web folds and the shape of the web plate.

Comparative Analysis of Web Archiving Tools (웹아카이빙 도구 비교분석 연구)

  • Kim, Heejung
    • Proceedings of the Korean Society for Information Management Conference
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    • 2011.08a
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    • pp.95-98
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    • 2011
  • 디지털 자원의 장기보존을 위한 기법과 전략은 지속적인 관심 속에서 개발되어 오고 있다. 특히, 웹 자원에 대한 의존도가 증폭될수록 웹 아카이빙에 대한 중요성이 커지고 있다. 본 연구에서는 IIPC에서 제시하는 웹 아카이빙 체인의 네 단계에 해당하는 각 단계별 웹 아카이빙 툴과 그 특성을 살펴보았다. 대상이 되는 웹 아카이빙 도구는 총 9개로서, Heritrix, DeepArc, Web Curator Tool, NetarchiveSuite, BnFArcTools, Wayback, NutchWAX, WERA 그리고 Xinq 등이다.

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Deep Learning Research Trends Analysis with Ego Centered Topic Citation Analysis (자아 중심 주제 인용분석을 활용한 딥러닝 연구동향 분석)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.34 no.4
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    • pp.7-32
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    • 2017
  • Recently, deep learning has been rapidly spreading as an innovative machine learning technique in various domains. This study explored the research trends of deep learning via modified ego centered topic citation analysis. To do that, a few seed documents were selected from among the retrieved documents with the keyword 'deep learning' from Web of Science, and the related documents were obtained through citation relations. Those papers citing seed documents were set as ego documents reflecting current research in the field of deep learning. Preliminary studies cited frequently in the ego documents were set as the citation identity documents that represents the specific themes in the field of deep learning. For ego documents which are the result of current research activities, some quantitative analysis methods including co-authorship network analysis were performed to identify major countries and research institutes. For the citation identity documents, co-citation analysis was conducted, and key literatures and key research themes were identified by investigating the citation image keywords, which are major keywords those citing the citation identity document clusters. Finally, we proposed and measured the citation growth index which reflects the growth trend of the citation influence on a specific topic, and showed the changes in the leading research themes in the field of deep learning.

A Grid Web Portal for Aerospace

  • Lim Sang-Boem;Kim Joo-Bum;Kim Nam-Gyu;Lee June-H.;Kim Chong-Am;Kim Yoon-Hee
    • 한국전산유체공학회:학술대회논문집
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    • 2006.05a
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    • pp.107-112
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    • 2006
  • A wind tunnel simulation requires high-performance computing power like supercomputers and deep knowledge of this subject. Those requirements make win tunnel simulation difficult. Grid technology will make these difficulties simpler by providing easy to use grid web portal. By using grid web portal, scientist can execute simulation and access to high-performance computing power without any serious difficulties. In this paper will present a grid web portal for a wind tunnel simulation that is used in Aerospace area.

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Research on AI Painting Generation Technology Based on the [Stable Diffusion]

  • Chenghao Wang;Jeanhun Chung
    • International journal of advanced smart convergence
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    • v.12 no.2
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    • pp.90-95
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    • 2023
  • With the rapid development of deep learning and artificial intelligence, generative models have achieved remarkable success in the field of image generation. By combining the stable diffusion method with Web UI technology, a novel solution is provided for the application of AI painting generation. The application prospects of this technology are very broad and can be applied to multiple fields, such as digital art, concept design, game development, and more. Furthermore, the platform based on Web UI facilitates user operations, making the technology more easily applicable to practical scenarios. This paper introduces the basic principles of Stable Diffusion Web UI technology. This technique utilizes the stability of diffusion processes to improve the output quality of generative models. By gradually introducing noise during the generation process, the model can generate smoother and more coherent images. Additionally, the analysis of different model types and applications within Stable Diffusion Web UI provides creators with a more comprehensive understanding, offering valuable insights for fields such as artistic creation and design.

Shear resistance of steel-concrete-steel deep beams with bidirectional webs

  • Guo, Yu-Tao;Nie, Xin;Fan, Jian-Sheng;Tao, Mu-Xuan
    • Steel and Composite Structures
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    • v.42 no.3
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    • pp.299-313
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    • 2022
  • Steel-concrete-steel composite structures with bidirectional webs (SCSBWs) are used in large-scale projects and exhibit good mechanical performances and constructional efficiency. The shear behaviors of SCSBW deep beam members in key joints or in locations subjected to concentrated forces are of concern in design. To address this issue, experimental program is investigated to examine the deep-beam shear behaviors of SCSBWs, in which the cracking process and force transfer mechanism are revealed. Compared with the previously proposed truss model, it is found that a strut-and-tie model is more suitable for describing the shear mechanism of SCSBW deep beams with a short span and sparse transverse webs. According to the experimental analyses, a new model is proposed to predict the shear capacities of SCSBW deep beams. This model uses strut-and-tie concept and introduces web shear and dowel action to consider the coupled multi mechanisms. A stress decomposition method is used to distinguish the contributions of different shear-transferring paths. Based on case studies, a simplified model is further developed, and the explicit solution is derived for design efficiency. The proposed models are verified using experimental data, which are proven to have good accuracy and efficiency and to be suitable for practical application.

Extension of the Long-term Archival Information Package for Electronic Records to Accommodate Web Records (웹기록물 보존을 위한 전자기록물 장기보존포맷 확장 설계)

  • Park, Boung-Joo;Cha, Seung-Jun;Lee, Kyu-Chul
    • The Journal of Society for e-Business Studies
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    • v.15 no.4
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    • pp.33-47
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    • 2010
  • Web records is valuable information to preserve, because it can be used as a legal evidence about business or e-commerce of a public institution, but it is easily disappeared because of its volatile characteristic. Therefore, archival information package should be defined for long-term preservation. Web records can be stored in the archival information package for electronic records, because web records is a kind of electronic records. However, the NEO(NARS Encapsulation Object), the archival information package for electronic records in Korea, can't able to store web records, because it was developed without consideration of the characteristic of web records. In this paper, we define extended NEO based on the analysis of KoSurWeb and KoDeWeb, that archival information package for document of surface and deep web as well as the NEO. Web records can be preserved and utilized along with electronic records by using the extended NEO. Also it can be used for record and legal evudence by archiving web records of public institution about e-commerce.