• Title/Summary/Keyword: Optimal Technique

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Arthroscopic Reconstruction of Bony Defect in Shoulder Instability (골 결손을 동반한 견관절 불안정성의 관절경적 재건술)

  • Kim, Yang-Soo;Ok, Ji-Hoon
    • Clinics in Shoulder and Elbow
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    • v.14 no.1
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    • pp.117-124
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    • 2011
  • Purpose: We reviewed arthroscopic reconstruction among the several treatment options for anterior shoulder instability with a bony Bankart lesion. Materials and Methods: Although open Bankart repair has long been considered the optimal surgical management of anterior shoulder instability, advancements in arthroscopic techniques have led to a recent shift to arthroscopic Bankart repair. However, for cases of a glenoid bony defect, several authors have reported various methods to accurately measure the amount of bony defect. Results: The arthroscopic technique of bony Bankart reconstruction continues to evolve and various methods have followed. To overcome the limitations of single fixation of a Bankart lesion, arthroscopic dual fixation (2 point fixation) has recently been tried to anatomically repair and restore the rigid fixation of a bony fragment. The concept of performing the Bristow-Latarjet transfer procedure under arthroscopy has also recently emerged. However, a large series of cases and long term follow up are required to prove the better results. Conclusion: To obtain a successful outcome for patients with anterior instability with a glenoid bony defect, it is imperative that the surgeon be aware of the accurate status of the bony defect and the intraoperative, postoperative factors associated with the proper treatment of this unstable pathology.

Clinical Experiences of Facial Asymmetries in Zygomaticomaxillary Complex Bone Fracture Patients (관골상악골 복합체 골절 환자에서의 안면 비대칭에 대한 임상경험)

  • Kang, Nak-Heon;Choi, Sang-Mun;Kim, Joo-Hak;Song, Seung-Han;Oh, Sang-Ha
    • Archives of Plastic Surgery
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    • v.38 no.2
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    • pp.161-165
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    • 2011
  • Purpose: Zygomaticomaxillary complex (ZMC) fracture is one of the most common facial injuries after facial trauma. As ZMC composes major facial buttress, it is a key element of the facial contour. So, when we treat these fractures, the operator should have a concern with the symmetry to restore normal appearance and function. But sometimes, unfavorable results may occur. The aim of this study is to analyze the unsatisfied midfacial contour after ZMC fractures reduction retrospectively and to point out the notandum. Methods: 369 patients, treated for fractures of the ZMC were included in the study. After the operation, such as open reduction and internal fixation (ORIF with titanium or absorbable materials), open reduction, and closed reduction, midfacial contour was evaluated with plain films and 3-dimensional computed tomography. And unfavorable asymmetric midfacial contours were correcterd by secondary correction and re-evaluated. Gross photographs were obtained at outpatient clinic. Results: Total of 38 patients had got a facial asymmetry and among of them 24 patients were treated secondary revisional ORIF operations for correction of unfavorable result of after primary reduction. Two of them had received tertiary operations, three patients had got osteotomy more than after one year and six patients had got minor procedures. The etiology of asymmetry were lateral displaced simple fracture of arch (n=2), lateral displaced comminuted fracture of arch (n=6), comminuted arch fracture combined posterior root fracture (n=9), and communited arch and body fracture (n=12), severely contused soft tissue (n=9). After the manipulations outcomes were acceptable. Conclusion: To prevent the asymmetry in ZMC fracture reduction, complete analysis of fracture, choice of appropriate operation technique, consider soft tissue, and secure of zygoma position are important. Especially, we should be more careful about communited fracture of zygomatic body and lateral displacement, root fracture of zygomatic arch. Because they are commom causes that make facial asymmetry. To get optimal result, ensure the definite bony reduction.

Optimization Technique for Estimation of Potential Hydroelectric Energy at Existion Ahricultural Reservoir (최적화기법을 이용한 기존 농업용 저수지에서의 부존 수력발전량 추정)

  • An, Tae-Jin;Ryu, Hui-Jeong;Park, Jeong-Eung
    • Journal of Korea Water Resources Association
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    • v.32 no.3
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    • pp.281-289
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    • 1999
  • Small-scale hydropower projects at existing agricultural reservoirs can contribute to produce electric energy by maximizing the use of releases from the reservoirs. The irrigation water duration, the reservoir hydropower simulation, and the nonlinear programming model are employed to estimate potential hydroelectric energy at an existing reservoir. The nonlinear programming model consists of finding a maximum hydroelectric energy subject to irrigation water demand constraints. The sample reservoir given a set of inflow and irrigation water is considered. The optimal solutions by the optimization model yield the most hydroelectric energy for the analysis period in the three methods. Consequently, the nonlinear programming model uses the most water for hydropower generation with respect to the total inflow of the sample reservoir. It is also found that additional storage by increasing the normal water level of the sample reservoir does not significantly increase the annual hydroelectric energy for the given reservoir. It is expected that the optimization model and the proposed procedure for estimating potential hydroelectric energy can be applied to evaluate feasibility analysis for small scale hydropower additions at existing agricultural dams.

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Application of Deep Learning Method for Real-Time Traffic Analysis using UAV (UAV를 활용한 실시간 교통량 분석을 위한 딥러닝 기법의 적용)

  • Park, Honglyun;Byun, Sunghoon;Lee, Hansung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.4
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    • pp.353-361
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    • 2020
  • Due to the rapid urbanization, various traffic problems such as traffic jams during commute and regular traffic jams are occurring. In order to solve these traffic problems, it is necessary to quickly and accurately estimate and analyze traffic volume. ITS (Intelligent Transportation System) is a system that performs optimal traffic management by utilizing the latest ICT (Information and Communications Technology) technologies, and research has been conducted to analyze fast and accurate traffic volume through various techniques. In this study, we proposed a deep learning-based vehicle detection method using UAV (Unmanned Aerial Vehicle) video for real-time traffic analysis with high accuracy. The UAV was used to photograph orthogonal videos necessary for training and verification at intersections where various vehicles pass and trained vehicles by classifying them into sedan, truck, and bus. The experiment on UAV dataset was carried out using YOLOv3 (You Only Look Once V3), a deep learning-based object detection technique, and the experiments achieved the overall object detection rate of 90.21%, precision of 95.10% and the recall of 85.79%.

Prioritizing of Civil-BIM DB Construction based on Geo-Spatial Information System (지형공간정보체계 기반의 토목-BIM DB구축 우선순위 선정)

  • Park, Dong Hyun;Kang, In Joon;Jang, Yong Gu;Lee, Byung Gul
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.1
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    • pp.73-79
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    • 2015
  • Recently, BIM proliferates at high speeds so that BIM planning is trying to be used in various kinds of engineering. However, when using different software during design phase and construction phase, the problem of mutual compatibility is coming out. Even the BIM technology has been used or the practical applicability has been made into result, it would be fair to say that BIM has limitations in the visual level. In this research, it is meaningless to obtain the BIM result as the primary purpose. As the usefulness of it is judged incomplete, we committed to master the trend and problems of terrain spatial information systems and BIM. Furthermore, the plan of building the BIM in the civil field, especially the civil-BIM based on the technology ofterrain spatial information has been presented. It can be judged through this research that the high-capacity DB of BIM occurred during the whole process may cause poor performance of the following stage the structure system which connects the terrain spatial information and civil-BIM. In order to manage the optimal full cycle, the spatial analysis technology of the stages after choosing the DB has been described.

Size-resolved Source Apportionment of Ambient Particles by Positive Matrix Factorization at Gosan, Jeju Island during ACE-Asia (PMF 분석을 이용한 ACE-Asia 측정기간 중 제주 고산지역 입자상 물질의 입경별 발생원 추정)

  • Moon K.J.;Han, J.S.;Kong, B.J.;Jung, I.R.;Cliff Steven S.;Cahill Thomas A.;Perry Kelvin D.
    • Journal of Korean Society for Atmospheric Environment
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    • v.22 no.5
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    • pp.590-603
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    • 2006
  • Size-and time-resolved aerosol samples were collected using an eight-stage Davis rotating unit for monitoring (DRUM) sampler from 23 March to 29 April 2001 at Gosan, Jeju Island, Korea, which is one of the super sites of Asia-Pacific Regional Aerosol Characterization Experiment(ACE-Asia). These samples were analyzed using synchrotron X-ray fluorescence for 3-hr average concentrations of 19 elements including Al, Si, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, Se, Br, Rb, and Pb. The size-resolved data sets were then analyzed using the positive matrix factorization(PMF) technique to identify possible sources and estimate their contributions to particulate matter mass. PMF analysis uses the uncertainty of the measured data to provide an optimal weighting. Twelve sources were resolved in eight size ranges($0.09{\sim}12{\mu}m$) and included continental soil, local soil, sea salt, biomass/biofuel burning, coal combustion, oil combustion, municipal incineration, nonferrous metal source, ferrous metal source, gasoline vehicle, diesel vehicle, and volcanic emission. The PMF result of size-resolved source contributions showed that natural sources represented by local soil, sea salt, continental soil, and volcanic emission contributed about 79% to the predicted primary particulate matter(PM) mass in the coarse size range ($1.15{\sim}12{\mu}m$) while anthropogenic sources such as coal combustion and biomass/biofuel burning contributed about 58% in the fine size range($0.56{\sim}2.5{\mu}m$). The diesel vehicle source contributed mostly in ultra-fine size range($0.09{\sim}0.56{\mu}m$) and was responsible for about 56% of the primary PM mass.

Real-time Health Monitoring of Pipeline Structures Using Piezoelectric Sensors (압전센서를 사용한 배관 구조물의 실시간 건전성 평가)

  • Kim, Ju-Won;Lee, Chang-Gil;Park, Seung-Hee
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.14 no.6
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    • pp.171-178
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    • 2010
  • Pipeline structure is one of core underground infrastructure which transports primary sources. Since the almost pipeline structures are placed underground and connected each other complexly, it is difficult to monitor their structural health condition continuously. In order to overcome this limitation of recent monitoring technique, recently, a Ubiquitous Sensor Network (USN) system based on on-line and real-time monitoring system is being developed by the authors' research group. In this study, real-time pipeline health monitoring (PHM) methodology is presented based on electromechanical impedance methods using USN. Two types of damages including loosened bolts and notches are artificially inflicted on the pipeline structures, PZT and MFC sensors that have piezoelectric characteristics are employed to detect these damages. For objective evaluation of pipeline conditions, Damage metric such as Root Mean Square Deviation (RMSD) value was computed from the impedance signals to quantify the level of the damage. Optimal threshold levels for decision making are estimated by generalized extreme value(GEV) based statistical method. Throughout a series of experimental studies, it was reviewed the effectiveness and robustness of proposed PHM system.

A Numerical Study on the Prevention of Clogging in Granular Compaction Pile (쇄석다짐말뚝에 발생하는 간극막힘 저감방안에 관한 수치해석적 연구)

  • Jeong, Jaewon;Lee, Seungjun;Park, Nowon;Chun, Byungsik
    • Journal of the Korean GEO-environmental Society
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    • v.14 no.1
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    • pp.43-51
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    • 2013
  • Recently, engineering problems such as long-term settlement, differential settlement, and the resultant structural damage, have been frequently reported at construction sites. Use of Sand Compaction Piles(SCP) and Granular Compaction Piles(GCP) are good at remedying existing problems, improving bearing capacity and promoting consolidation. However, such compaction piles have the potential for clogging, which would limit their usability. Investigations into the potential for clogging in SCP, GCP, and GCP mixed with sand has not been thoroughly conducted and is the objective of this current study. Large scale direct shear tests were performed on sections of SCP, GCP, and sand mixed GCP to evaluate bearing capacity. Discrete Element Method analyses were conducted with PFC3D and Finite Element Analyses were conducted with MIDAS GTS to propose an algorithm to help reduce clogging in the granular compaction piles. Results from the large scale direct shear test and multiple simulations suggest a 70% gravel and 30% sand mixing ratio to be optimal for bearing capacity and reducing clogging.

Comparison of Partial Least Squares and Support Vector Machine for the Flash Point Prediction of Organic Compounds (유기물의 인화점 예측을 위한 부분최소자승법과 SVM의 비교)

  • Lee, Chang Jun;Ko, Jae Wook;Lee, Gibaek
    • Korean Chemical Engineering Research
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    • v.48 no.6
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    • pp.717-724
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    • 2010
  • The flash point is one of the most important physical properties used to determine the potential for fire and explosion hazards of flammable liquids. Despite the needs of the experimental flash point data for the design and construction of chemical plants, there is often a significant gap between the demands for the data and their availability. This study have built and compared two models of partial least squares(PLS) and support vector machine(SVM) to predict the experimental flash points of 893 organic compounds out of DIPPR 801. As the independent variables of the models, 65 functional groups were chosen based on the group contribution method that was oriented from the assumption that each fragment of a molecule contributes a certain amount to the value of its physical property, and the logarithm of molecular weight was added. The prediction errors calculated from cross-validation were employed to determine the optimal parameters of two models. And, an optimization technique should be used to get three parameters of SVM model. This work adopted particle swarm optimization that is one of heuristic optimization methods. As the selection of training data can affect the prediction performance, 100 data sets of randomly selected data were generated and tested. The PLS and SVM results of the average absolute errors for the whole data range from 13.86 K to 14.55 K and 7.44 K to 10.26 K, respectively, indicating that the predictive ability of the SVM is much superior than PLS.

Characteristics of dose distribution for virtual wedge (가변형 쐐기필터의 선량분포에 관한 특성)

  • 김부길;김진기
    • Progress in Medical Physics
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    • v.12 no.2
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    • pp.125-131
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    • 2001
  • We was investigate the dosimetric characteristics of the virtual wedge and it compared to the conventional fixed wedge. Also we was evaluate the quality factor of the experimental multi-channel dosimetry system for virtual wedge. Recently virtual wedge technique and wedge fraction methods are available through the computer controlled asymmetric collimator or the independent jaw in medical linear accelerator for radiation therapy. The dosimetric characteristics are interpreted by radiation field analyzer RFA-7 system and PTW-UNIDOS system. Experimental multi-channel dosimetry system for virtual wedge was consists of the electrometer, the solid detector and array phantom. The solid detectors were constructed using commercially diodes for the assessment of quality assurance in radiotherapy. And it was used for the point dose measuring and field size scanning. The semiconductor detector and ion chamber were positioned at a dmax, 5 cm, 10 cm, 20 cm depth and its specific ratio was determined using a scanning data. Wedge angles in fixed and virtual type are compared with measurements in water phantom and it is shown that the wedge angle 15$^{\circ}$, 30$^{\circ}$, 45$^{\circ}$were agree within 1$^{\circ}$ degree in 6, 10 MV photon beams. In PDD and beam flatness, experimental multi-channel disimetry system was capable of reproduceing the measured values usually to within $\pm$2.1% the statistical uncertainties of the data. It was used to describe dosimetric characteristics of virtual wedge in clinical photon beams. Also we was evaluate optimal use of the virtual wedge and improve the quality factor of the experimental multi-channel dosimetry system for virtual wedge.

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