• Title/Summary/Keyword: Volumes

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Two-Tier Storage DBMS for High-Performance Query Processing

  • Eo, Sang-Hun;Li, Yan;Kim, Ho-Seok;Bae, Hae-Young
    • Journal of Information Processing Systems
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    • v.4 no.1
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    • pp.9-16
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    • 2008
  • This paper describes the design and implementation of a two-tier DBMS for handling massive data and providing faster response time. In the present day, the main requirements of DBMS are figured out using two aspects. The first is handling large amounts of data. And the second is providing fast response time. But in fact, Traditional DBMS cannot fulfill both the requirements. The disk-oriented DBMS can handle massive data but the response time is relatively slower than the memory-resident DBMS. On the other hand, the memory-resident DBMS can provide fast response time but they have original restrictions of database size. In this paper, to meet the requirements of handling large volumes of data and providing fast response time, a two-tier DBMS is proposed. The cold-data which does not require fast response times are managed by disk storage manager, and the hot-data which require fast response time among the large volumes of data are handled by memory storage manager as snapshots. As a result, the proposed system performs significantly better than disk-oriented DBMS with an added advantage to manage massive data at the same time.

Effects of orthodontic force on root surface damage caused by contact with temporary anchorage devices and on the repair process

  • Guler, Ozge Celik;Malkoc, Siddik
    • The korean journal of orthodontics
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    • v.49 no.2
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    • pp.106-115
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    • 2019
  • Objective: This study aimed to evaluate the effects of force loading on root damage caused by contact with temporary anchorage devices (TADs) during orthodontic treatment and to examine the repair process 4, 8, and 12 weeks after TAD contact by micro-computed tomography (CT). Methods: We enrolled 42 volunteers who required bilateral upper first premolar extractions. The experimental study design was as follows. For both first premolars, cantilever springs were placed, and then TADs were immediately inserted between the premolars of all volunteers. According to the removal order of the appliances, the participants were divided into the TAD group (Group T: n = 21, only TAD removal) and the spring group (Group S: n = 21, only spring removal). A splitmouth design was adopted in both groups as follows. For each volunteer, the left premolars were extracted 4, 8, or 12 weeks after TAD-root contact. The right premolars were extracted immediately after contact in both groups (Groups T-C and S-C) and used as positive controls. Resorption volumes and numbers of craters were determined by micro-CT. Results: The numbers of resorption craters were higher in Group T than in Group S at 8 and 12 weeks (p < 0.01). Crater volumes were higher in Group T than in Group S at 4 and 12 weeks (p < 0.01, both). Conclusions: Root injury was not completely repaired 12 weeks after root-TAD contact, even when the TADs were removed in cases of continuous force application.

Application of machine learning methods for predicting the mechanical properties of rubbercrete

  • Miladirad, Kaveh;Golafshani, Emadaldin Mohammadi;Safehian, Majid;Sarkar, Alireza
    • Advances in concrete construction
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    • v.14 no.1
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    • pp.15-34
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    • 2022
  • The use of waste rubber in concrete can reduce natural aggregate consumption and improve some technical properties of concrete. Although there are several equations for estimating the mechanical properties of concrete containing waste rubber, limited numbers of machine learning-based models have been proposed to predict the mechanical properties of rubbercrete. In this study, an extensive database of the mechanical properties of rubbercrete was gathered from a comprehensive survey of the literature. To model the mechanical properties of rubbercrete, M5P tree and linear gene expression programming (LGEP) methods as two machine learning techniques were employed to achieve reliable mathematical equations. Two procedures of input variable selection were considered in this study. The crucial component ratios of rubbercrete and concrete age were assumed as the input variables in the first procedure. In contrast, the volumes of the coarse and fine waste rubber and the compressive strength of concrete without waste rubber were considered the second procedure of the input variables. The results show that the models obtained by LGEP are more accurate than those achieved by the M5P model tree and existing traditional equations. Besides, the volumes of the coarse and fine waste rubber and the compressive strength of concrete without waste rubber are better predictors of the mechanical properties of rubbercrete compared to the first procedure of input variable selection.

Review on Needling Depth of Five-Phase Acupoints by 7 Volumes of Literatures (7종 문헌을 통한 오수혈 자침 깊이에 대한 고찰)

  • Junyeop, Oh;Anna, Kim;Jongran, Lee;Yongtaek, Oh
    • Korean Journal of Acupuncture
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    • v.39 no.4
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    • pp.117-125
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    • 2022
  • Objectives : The purpose of this study was to investigate the needling depth of five-phase acupoints by acupuncture and moxibustion literatures. Methods : 7 volumes of acupuncture and moxibustion literatures was used to determine the depth of five-phase acupoints. The depth of needling at 60 five-phase acupoints was compared between well, spring, stream, river, sea acupoints and also yin, yang, hand and foot meridians. Results : The proximal part of the extremities had deeper needling depth than the distal part of the extremities. The order of well, spring, stream, river, sea can be related to the needling depth. Foot meridians had deeper needling depth than hand meridians. Yin meridians had deeper needling depth at Well, spring, stream acupoints and yan meridians had deeper needling depth at river, sea acupoints. Conclusions : The distinct patterns of needling depth of five-phase acupoints is related to which part of the extremities are five-phase acupoints located.

The Evolution and Icons of 48 Divinity in Ogchugyeong(玉樞經) (『옥추경』 48신장의 변천과 도상)

  • Koo, Jung-hoe
    • Journal of the Daesoon Academy of Sciences
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    • v.24_2
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    • pp.165-196
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    • 2015
  • This research starts based on the purpose to investigate the evolution and nature of 48 divinity depends on Gu-Cheon-EungWon-Nweh-Seong-Bo-Hwa-Cheon-Jon(九天應元雷聲普化天尊, Highest ruling Entity and Majesty of Heaven by lightning and thunder raising and ruling all the universe which response to the Supreme) as well as to look at the iconography of that. Ogchugyeong(玉樞經) still exercise enormous influence on Korean folk belief neither in the late Joseon Dynasty and the Japanese colonial period nor till now. The reason for authority of Ogchugyeong(玉樞經) is because Ogchugyeong(玉樞經) was the sutras of being used in the original royal families 48 divinity depends on Gu-Cheon-Eung-Won-Nweh-Seong-Bo-Hwa-Cheon-Jon which appears in Ogchugyeong(玉樞經) is created in Korea. 48 divinity is finally approved at 1888, after it started from 41 at the beginning of the deity general theory(神將論) through developing 47. The figure of 48 seems the result of the syncretism with 48 wishes of Buddhism. Okuchugyong was originally China Taoist scripture, but Okuchugyong entered Korea and reproduced a different look. In China Okuchugyong has two volumes and 44 stature of the deity general(神將) but in Korea Okuchugyong changed to have three volumes and 48 stature.

Noun and Keyword Extraction for Information Processing of Korean (한국어 정보처리를 위한 명사 및 키워드 추출)

  • Shin, Seong-Yoon;Rhee, Yang-Won
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.3
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    • pp.51-56
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    • 2009
  • In a language, noun and keyword extraction is a key element in information processing. When it comes to processing Korean language information, however, there are still a lot of problems with noun and keyword extraction. This paper proposes an effective noun extraction method that considers noun emergence features. The proposed method can be effectively used in areas like information retrieval where large volumes of documents and data need to be processed in a fast manner. In this paper, a category-based keyword construction method is also presented that uses an unsupervised learning technique to ensure high volumes of queries are automatically classified. Our experimental results show that the proposed method outperformed both the supervised learning-based X2 method known to excel in keyword extraction and the DF method, in terms o classification precision.

Finding Needles in a Haystack with Light: Resolving the Microcircuitry of the Brain with Fluorescence Microscopy

  • Rah, Jong-Cheol;Choi, Joon Ho
    • Molecules and Cells
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    • v.45 no.2
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    • pp.84-92
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    • 2022
  • To understand the microcircuitry of the brain, the anatomical and functional connectivity among neurons must be resolved. One of the technical hurdles to achieving this goal is that the anatomical connections, or synapses, are often smaller than the diffraction limit of light and thus are difficult to resolve by conventional microscopy, while the microcircuitry of the brain is on the scale of 1 mm or larger. To date, the gold standard method for microcircuit reconstruction has been electron microscopy (EM). However, despite its rapid development, EM has clear shortcomings as a method for microcircuit reconstruction. The greatest weakness of this method is arguably its incompatibility with functional and molecular analysis. Fluorescence microscopy, on the other hand, is readily compatible with numerous physiological and molecular analyses. We believe that recent advances in various fluorescence microscopy techniques offer a new possibility for reliable synapse detection in large volumes of neural circuits. In this minireview, we summarize recent advances in fluorescence-based microcircuit reconstruction. In the same vein as these studies, we introduce our recent efforts to analyze the long-range connectivity among brain areas and the subcellular distribution of synapses of interest in relatively large volumes of cortical tissue with array tomography and superresolution microscopy.

Review of outcomes of using lower ethanol concentration (83%) in percutaneous ultrasound-guided renal cyst sclerotherapy in dogs

  • Sanghyeon Yoon;Jungmin Kwak;Deokho Im;Hakyoung Yoon
    • Journal of Veterinary Science
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    • v.24 no.5
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    • pp.61.1-61.12
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    • 2023
  • Background: Percutaneous renal cyst sclerotherapy (PRCS) as a treatment for renal cysts is usually performed with a high concentration of ethanol (≥ 90%). This study reviewed cases in which a lower concentration of ethanol (83%) was used for the procedure in dogs. Methods: Records of cases of renal cysts treated by sclerotherapy using 83% ethanol in dogs were reviewed. Outcomes of the treatment were evaluated by comparing volumes of renal cysts before the procedure and the volumes after treatment, using ultrasound images with the volume reduction rates classified as follows: < 50% of initial volume (failed); ≥ 50% but < 80% of initial volume (partial success); ≥ 80% but < 95% of initial volume (great success); ≥ 95% of initial volume (complete success). Results: Out of nine dog kidneys, renal cysts sclerotherapy with 83% ethanol achieved partial success in one kidney, great success in four, and complete success in the other four. No side effect was observed. The mean of the volume-reduction rates was 90.00 ± 11.00 while the minimum and maximum reduction rates were 65% and 100%, respectively. Conclusions: The lower ethanol concentration (83%) is good for disinfecting kidneys in PRCS.

Experimental investigation of the influence of fibre content on the flexural performance of simply supported and continuous steel/UHPC composite slabs

  • Sirui Chen;Phillip Visintin;Deric J. Oehlers
    • Steel and Composite Structures
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    • v.49 no.5
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    • pp.571-585
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    • 2023
  • The application of relatively low volumes of fibres in normal strength concrete has been shown to be of significant benefit when applied to composite slabs with profiled sheet decking. This paper reports on an experimental study aimed at quantifying further potential benefits that may arise from applying ultra-high performance fibre reinforced concrete. To assess performance six simply supported beams were tested under hogging and sagging loading configurations along with three two span continuous beams. Fibre contents are varied from 0% to 2% and changes in strength, deformation, crack width and moment redistribution are measured. At the serviceability limit state, it is shown that the addition of high fibre volumes can significantly enhance member stiffness and reduce crack widths in all beams. At the ultimate limit state it is observed that a transition from 0% to 1% fibres significantly increases strength but that there is a maximum fibre volume beyond which no further increases in strength are possible. Conversely, member ductility and moment redistribution are shown to be strongly proportional to fibre volume.

Federated Learning-Internet of Underwater Things (연합 학습기반 수중 사물 인터넷)

  • Shrutika Sinha;G., Pradeep Reddy;Soo-Hyun Park
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.140-142
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    • 2023
  • Federated learning (FL) is a new paradigm in machine learning (ML) that enables multiple devices to collaboratively train a shared ML model without sharing their local data. FL is well-suited for applications where data is sensitive or difficult to transmit in large volumes, or where collaborative learning is required. The Internet of Underwater Things (IoUT) is a network of underwater devices that collect and exchange data. This data can be used for a variety of applications, such as monitoring water quality, detecting marine life, and tracking underwater vehicles. However, the harsh underwater environment makes it difficult to collect and transmit data in large volumes. FL can address these challenges by enabling devices to train a shared ML model without having to transmit their data to a central server. This can help to protect the privacy of the data and improve the efficiency of training. In this view, this paper provides a brief overview of Fed-IoUT, highlighting its various applications, challenges, and opportunities.