• Title/Summary/Keyword: deep structure

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Structural Characteristics of Preloaded Deep Deck Composite Slabs with Tenns

  • Lee, Tae-Hun;Kyung, Jae-Hwan;Song, Jong-Wook;Choi, Sung-Mo
    • International Journal of High-Rise Buildings
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    • v.9 no.2
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    • pp.187-195
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    • 2020
  • As deep decks are commonly used in construction fields and high-rise building. etc, the slim floor system is increasingly employed. But, the drawback of the slim floor system is that the use of 250 mm deep decks in a structure having a clear span of more than 6 m because of deflection and flexural buckling. This study suggests a non-support construction method where tendons are installed in the deep decks of the slim floor structure to introduce preload in order to control deflection in a structure having a clear span of 9 m. Loading tests were conducted to verify the composite effect and flexural capacity of the preloaded deep deck composite slab and evaluate the serviceability of the supportless construction method. The results showed the complete composite behavior of the preloaded deep deck composite slab with tendons. The specimens satisfied deflection limit and the working load was approximately 25% of the maximum load capacity. It is deemed that the cross-sectional area and yield strength of the deck plate should be taken into account in slab design and the yield strength and diameter of the tendon should be determined with the pre-tension taken into consideration.

Deep Structured Learning: Architectures and Applications

  • Lee, Soowook
    • International Journal of Advanced Culture Technology
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    • v.6 no.4
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    • pp.262-265
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    • 2018
  • Deep learning, a sub-field of machine learning changing the prospects of artificial intelligence (AI) because of its recent advancements and application in various field. Deep learning deals with algorithms inspired by the structure and function of the brain called artificial neural networks. This works reviews basic architecture and recent advancement of deep structured learning. It also describes contemporary applications of deep structured learning and its advantages over the treditional learning in artificial interlligence. This study is useful for the general readers and students who are in the early stage of deep learning studies.

Clinical anatomic consideration of the superficial layer of the masseter muscle for botulinum toxin injection (보툴리눔 톡신 주사를 위한 깨물근 얕은층의 임상해부학적 고찰)

  • Lee, Hyung-Jin;Kim, Hee-Jin
    • The Journal of the Korean dental association
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    • v.55 no.5
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    • pp.365-369
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    • 2017
  • In clinical dentistry, botulinum toxin is generally used to treat the square jaw, bruxism, and temporomandibular joint diseases. Recently, this procedure has been expanded and applied for cosmetic purposes, and it is becoming a key task to be aware of the precise anatomical structure of the target muscles to be cautious during treatment and how to prevent side effects. Therefore, the purpose of this study is to observe the anatomical structure of the superficial layer of masseter muscle and to provide a most effective botulinum toxin injection method through clinical anatomical consideration. It was observed that the muscle belly of superficial part of the superficial layer was originated from the deep to the aponeurosis of masseter muscle and descend, then changed gradually into the tendon structure attaching to the inferior border of the mandible. In this study, we named this structure deep inferior tendon. This structure was observed in all specimens. We conclude that the use of superficial layer and deep layer injection should be considered to prevent paradoxical masseteric bulging in consideration of the deep inferior tendon of superficial part of superficial layer of masseter muscle.

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The Study of WET Cleaning Effect on Deep Trench Structure for Trench MOSFET Technology (Trench MOSFET Technology의 Deep Trench 구조에서 WET Cleaning 영향에 대한 연구)

  • Kim, Sang-Yong;Jeong, Woo-Yang;Yi, Keun-Man;Kim, Chang-Il
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2009.06a
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    • pp.88-89
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    • 2009
  • In this paper, we investigated about wet cleaning effect as deep trench formation methods for Power chip devices. Deep trench structure was classified by two methods, PSU (Poly Stick Up) and Non-PSU structure. In this paper, we could remove residue defect during wet. cleaning after deep trench etch process for non-PSU structure device as to change wet cleaning process condition. V-SEM result showed void image at the trench bottom site due to residue defect and residue component was oxide by EDS analysis. In order to find the reason of happening residue defect, we experimented about various process conditions. So, defect source was that oxide film was re-deposited at trench bottom by changed to hydrophobic property at substrate during hard mask removal process. Therefore, in order to removal residue defect, we added in-situ SCI during hard mask removal process, and defect was removed perfectly. And WLR (Wafer Level Reliability) test result was no difference between normal and optimized process condition.

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Text Classification on Social Network Platforms Based on Deep Learning Models

  • YA, Chen;Tan, Juan;Hoekyung, Jung
    • Journal of information and communication convergence engineering
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    • v.21 no.1
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    • pp.9-16
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    • 2023
  • The natural language on social network platforms has a certain front-to-back dependency in structure, and the direct conversion of Chinese text into a vector makes the dimensionality very high, thereby resulting in the low accuracy of existing text classification methods. To this end, this study establishes a deep learning model that combines a big data ultra-deep convolutional neural network (UDCNN) and long short-term memory network (LSTM). The deep structure of UDCNN is used to extract the features of text vector classification. The LSTM stores historical information to extract the context dependency of long texts, and word embedding is introduced to convert the text into low-dimensional vectors. Experiments are conducted on the social network platforms Sogou corpus and the University HowNet Chinese corpus. The research results show that compared with CNN + rand, LSTM, and other models, the neural network deep learning hybrid model can effectively improve the accuracy of text classification.

Stability Analysis of Marine Structure Foundation Constructed by Deep Mortar Piles (심층몰탈파일로 조성된 항만구조물 기초의 안정성 검토)

  • 천병식;여유현;김경민;양진석;김도식
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2001.05a
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    • pp.228-233
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    • 2001
  • In this case study, under conideration of field situations, such as increase of water level, height increment of the marine structure, dredging and backfill, the stability analysis of sliding and lateral flow of the marine structure in OOOharbor was carried out, and foundation reinforcement methods was presented. based on the results of site investigation, the stability analysis of slope sliding and lateral flow was performed as following. In section BH-1, 2, the analysis was performed in two cases that the marine structure was heightened and filled, and not heightened and filled. In section BH-1, 4, heightened and filled. The analysis results showed that the stabilities of slope sliding and lateral flow in section BH-1, 2, 3, 4 were unstable. After additional reinforcements with Deep Mortar Pile, the stabilities in section BH-1, 2, 3, 4 were evaluated as efficiently large.

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Case Study of Structure Damage due to Adjacent Deep Excavation (깊은 굴착에서 근접시공에 따른 구조물 피해사례 연구)

  • 김성욱;김주봉
    • Proceedings of the Korean Geotechical Society Conference
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    • 1999.03a
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    • pp.113-120
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    • 1999
  • Deep excavation,1 in the urban areas may cause terrible damages to the adjacent structures. Most damages are due to the settlement of ground during excavation work. This article introduces two actual examples of structure damage in subway construction projects. A through of attempts to find out the factors that are affecting to the settlement of ground was made through site investigations and analyses of measurement data. Some suggestions are given to prevent the repeat of trial and error in deep excavation projects. This kind of attempts are eccentrical to the development and improvement of information-oriented construction method.

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Mapping Submarine Bathymetry and Geological Structure Using the Lineament Analysis Method

  • Kwon, O-Il;Baek, Yong;Kim, Jinhwan
    • The Journal of Engineering Geology
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    • v.24 no.4
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    • pp.455-461
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    • 2014
  • The Honam-Jeju, Korea-Japan, and Korea-China subsea tunnel construction projects have drawn significant attention since the early 2000s. These subsea tunnels are much deeper than most existing natural shallow sea tunnels linking coastal areas. Thus, the need for developing new technologies for the site selection and construction of deep subsea tunnels has recently emerged, with the launch of a research project titled "Development of Key Subsea Tunnelling Technology" in 2013. A component of this research, an analysis of deep subsea geological structure, is currently underway. A ground investigation, such as a borehole or geophysical investigation, is generally carried out for tunnel design. However, when investigating a potential site for a deep subsea tunnel, borehole drilling requires equipment at the scale of offshore oil drilling. The huge cost of such an undertaking has raised the urgent need for methods to indirectly assess the local geological structure as much as possible to limit the need for repeated borehole investigations. This study introduces an indirect approach for assessing the geological structure of the seafloor through a submarine bathymetry analysis. The ultimate goal here is to develop an automated approach to the analysis of submarine geological structures, which may prove useful in the selection of future deep subsea tunnel sites.

Constructing Content Producing Group with Creativity under Media Convergence Environments (미디어 융합 환경 하에서 창의적인 콘텐츠 생산그룹의 구성에 관한 연구)

  • Kim, Joong-Gyoo;Lee, Chang-Hoon;Jang, Young-Cheol
    • Journal of Digital Convergence
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    • v.7 no.3
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    • pp.137-146
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    • 2009
  • This paper aims to propose a framework of content creating group with creativity under new convergence environments. The framework is built based on content concept hierarchy(deep/surface) relating with the creativity of group members. The diversity of group members(potential creativity) decrease and change into creative abilities in one unified view at each content concept hierarchy in time. To do this, three methods of building a creative group(interaction-base, direction-base, hybrid) are proposed. Cooperating processes and operators are designed to promote creative abilities in the content producing group. These cooperations are considering new media convergence industry's job road map(IPTV) and fundamental content attributes(semantic, narrative, discourse). In the framework, creative content is produced with the help of member's cultural openness, media richness and synchronicity, hierachical adaptability on dissimilarity. Deep level creativity of cognitive semiotics on moving image content is composed of psychological, transformational, situational creating abilities in the structure of group members. Designing analogy, metaphor, symbol operators help members to traverse deep structure of content concept hierarchy. Our framework has strong points to relate fundamental content deep structure with structure of content producing group and to induce creativity on cognitive structure of human being.

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Effect of refractive index difference between core and cladding on the characteristics of a vertical directional coupler using the double sided deep ridge waveguide structure (Double Sided Deep Ridge 도파관 구조를 가지는 수직 방향성 결합기의 코어와 클래딩의 굴절율 차이가 소자의 특성에 미치는 영향)

  • Yun, Jeong-Hyeon;Jeong, Byeong-Min;Kim, Bu-Gyun
    • Proceedings of the Optical Society of Korea Conference
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    • 2004.02a
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    • pp.300-301
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    • 2004
  • Effect of refractive index difference between core and cladding on the characteristics of a vertical directional coupler using double sided deep ridge waveguide structure is investigated.

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