• Title/Summary/Keyword: 블록형상

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Development of the Design System for the Lifting Lug Structure (탑재용 러그 구조의 설계 시스템 개발)

  • Juh-Hyeok Ham
    • Journal of the Society of Naval Architects of Korea
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    • v.38 no.1
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    • pp.86-98
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    • 2001
  • Due to the rapid growth of ship building industry and the increment of ship construction in Korea, several hundred thousand of lifting lugs per year, have been installed at the lifting positions of ship block and removed after finishing their function, therefore. appropriate design system for the strength check or the optimal design of each lug structure has been required in order to increase the capability of efficient design. In this study, the design system of D-type lifting lug structure which is most popular and useful in shipyards, was developed for the purpose of initial design of lug structure. Developed system layout and graphic user interface for this design system based on the $C^{++}$ language were explained step by step. Through the illustration of one example of D-type lug designs, the efficiency of this design system was proved. Therefore, more efficient performance of practical lug structural design will be expected on the windows of personal computer using this design system.

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Reliability Analysis for Fatigue Damage of Steel Bridge Details (강교 부재의 피로손상에 대한 신뢰성 해석)

  • Park, Yeon Soo;Han, Suk Yeol;Suh, Byoung Chal
    • Journal of Korean Society of Steel Construction
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    • v.15 no.5 s.66
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    • pp.475-487
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    • 2003
  • This study developed an analysis model of estimating fatigue damage using the linear elastic fracture mechanics method. Stress history occurring to an element when a truck passed over a bridge was defined as block loading and crack closure theory explaining load interaction effect was applied. Stress range frequency analysis considering dead load stress and crack opening was done. Probability of stress range frequency distribution was applied and the probability distribution parameters were estimated. The Monte Carlo simulation of generating the probability various of distribution was performed. The probability distribution of failure block numbers was obtained. With this the fatigue reliability of an element not occurring in failure could be calculated. The failure block number divided by average daily truck traffic remains the life of a day. Fatigue reliability analysis model was carried out for the welding member of cross beam flange and vertical stiffener of steel box bridge using the proposed model. Consequently, a 3.8% difference was observed between the remaining life in the peak analysis method and in the proposed analysis model. The proposed analysis model considered crack closure phase and crack retard.

A Study on the Stress Analysis of Oil Hydraulic Piston Pump with a Swash Plate Type (사판식 유압 피스톤 펌프의 응력해석에 관한 연구)

  • Jeong, Bong-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.4
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    • pp.2424-2429
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    • 2015
  • In an oil hydraulic piston pump, the cylinder block and valve plate in high speed relative sliding motion have the characteristics which should be extremely controlled for the optimization of leakage and friction losses, and pressure-resistance design of them is very important for high pressure performance. But the studies on the stress analysis of those parts have not been performed briskly. Therefore, in this paper, the stress and displacement distributions of the cylinder block and valve plate in the oil hydraulic piston pump with a swash plate type are discussed through the static stress analysis using CATIA V5. The stress and displacement of the cylinder block are more influenced by the axial pressure than by the radial pressure, and are larger by approximately 66% and 30%, respectively. The results show that a review of the material and shape of the valve plate is required.

A Prostate Segmentation of TRUS Image using Average Shape Model and SIFT Features (평균 형상 모델과 SIFT 특징을 이용한 TRUS 영상의 전립선 분할)

  • Kim, Sang Bok;Seo, Yeong Geon
    • KIPS Transactions on Software and Data Engineering
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    • v.1 no.3
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    • pp.187-194
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    • 2012
  • Prostate cancer is one of the most frequent cancers in men and is a major cause of mortality in the most of countries. In many diagnostic and treatment procedures for prostate disease, transrectal ultrasound(TRUS) images are being used because the cost is low. But, accurate detection of prostate boundaries is a challenging and difficult task due to weak prostate boundaries, speckle noises and the short range of gray levels. This paper proposes a method for automatic prostate segmentation in TRUS images using its average shape model and invariant features. This approach consists of 4 steps. First, it detects the probe position and the two straight lines connected to the probe using edge distribution. Next, it acquires 3 prostate patches which are in the middle of average model. The patches will be used to compare the features of prostate and nonprostate. Next, it compares and classifies which blocks are similar to 3 representative patches. Last, the boundaries from prior classification and the rough boundaries from first step are used to determine the segmentation. A number of experiments are conducted to validate this method and results showed that this new approach extracted the prostate boundary with less than 7.78% relative to boundary provided manually by experts.

A Study on the Generation of Block Projections for the Assembly Shops (정반 배치용 블록 투영 형상 생성에 관한 연구)

  • Ruy, Won-Sun
    • Journal of the Society of Naval Architects of Korea
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    • v.51 no.3
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    • pp.203-211
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    • 2014
  • To raise the industrial competitiveness in the field of ship-building, it is crucially important that the yard should use production facilities and working space effectively. Among the related works, the management of tremendous blocks' number, the limited area of assembly shops and inefficient personnel and facility management still need to be improved in terms of being exposed to a lot of problems. To settle down these conundrums, the various strategies of block arrangement on the assembly floors have been recently presented and in the results, have increasingly began to be utilized in practice. However, it is a wonder that the sampled or approximated block shapes which usually are standardized projections or the geometrically convex contour only have been prevailed until now. In this study, all parts including the panel, stiffeners, outer shells, and all kinds of outfitting equipment are first extracted using the Volume Primitive plug-in module from the ship customized CAD system and then, the presented system constructs a simpler and more compact ship data structure and finally generates the novel projected contours for the block arrangement system using the adaptive concave hull algorithm.

A Study of the Arc Stabilization for Tandem EGW (탄뎀 EGW 기법의 아크 안정화 연구)

  • Hong, Tae-Min;Park, Jong-Min;Kim, Jin-Yong;Huh, Man-Joo
    • Proceedings of the KWS Conference
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    • 2009.11a
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    • pp.15-15
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    • 2009
  • 최근 컨테이너선은 점차 대형화되고 있으며, 이에 따라 선체의 외판 상부의 철판 두께도 최대 80mm 까지 설계되고 있다. 블록 외판의 수직 맞대기 용접의 경우 고능률 용접기법인 Electro Gas Weldig(이하 EGW)이 적용되고 있으나, 극 후판의 경우, 기존의 한 개의 전극만으로는 적용 가능한 두께 범위의 한계가 있어 수직 맞대기 용접의 용접생산을 향상시키기 위해 2개의 전극을 사용하는 탄뎀 EGW 기법에 의한 시공법이 고려되었다. 탄뎀 EGW 기법의 시공법에 관한 보고서는 국내외에서 많이 발표되어져 왔다. 하지만 실선 적용에 있어 두께 80mm, 길이 2M 이상의 철판을 안정적으로 용접하기 위한 장애요소는 용접 중 적절한 슬래그의 배출 조절이다. 두개의 용접 와이어를 동시에 공급할 때 발생하는 슬래그를 균형있게 배출하지 못하는 경우 용융, 금속 상부에 적층되는 슬래그의 양이 증가하게 되고, 아크는 불안해져서 전극팁에의 슬래그 부착, 전극 팁의 발열 등에 의한 요인들이 송급을 불안하게 하여 연속 용접이 어려워진다. 본 연구에서는 탄뎀 EGW 기법을 실제로 현업에 적용하기 위해서는 안정적인 슬래그 배출에 착안하여 동당금의 형상에 따라 슬래그의 배출 성능을 확인하고 형상별 전류, 전압 파형을 측정하고, 파형 결과에 따라 아크 안정성을 평가함으로서 탄뎀 EGW 용접기법에 적정한 동당금을 설계한 결과를 소개하고자 하였다.

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Development of Environment Friendly Permeable Concrete Bio Blocks (친환경 투수 콘크리트 바이오 블록의 개발)

  • Song, Hyeon-Woo;Lee, Joong-Woo;Kwon, Seong-min;Lee, Tae-Hyeong;Oh, Hyeong-Tak
    • Journal of Navigation and Port Research
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    • v.44 no.4
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    • pp.305-311
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    • 2020
  • Rising sea levels along the coast from global warming causes the increase of wave energy along the coast. This rise in sea levels results in relatively deep water levels, which would incur the loss of sand that had not occurred in the past from erosion in coastal areas. Generally, it has been challenging to protect against coastal erosion, and the slope, cross-sectional shape, and materials are selected for the site conditions depending on the change in external forces. However, the application of counter measures based on insufficient understanding of the phenomenon is causing various damage, indicating the need for technological development and converging technologies to improve credibility. In this study, we developed eco-friendly permeable biopolymer concrete blocks to control the coastal erosion by using the Bio-Coast, an effective porous structure that mitigates the destructive erosion caused by the rising sea levels. The hexagonal design of Bio-Coast was derived from the honeycomb, columnar joints, and clover, which are durable and stable structures in nature, and the design was changed to apply bumps on the Bio-Coast filling in the form of a clover to reduce wave overtopping and run-up. Applying the field condition of beaches on the east coast of Korea, the block weight and size were decided and the prototype blocks were manufactured and are ready for field placement. In particular, it is intended to protect coastal areas from destructive erosion by natural and artificial external forces, and to extend the design to river,s lakes, and natural walking trails, to improve the efficiency of quality control and process control through the use of blocks.

Design for Deep Learning Configuration Management System using Block Chain (딥러닝 형상관리를 위한 블록체인 시스템 설계)

  • Bae, Su-Hwan;Shin, Yong-Tae
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.3
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    • pp.201-207
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    • 2021
  • Deep learning, a type of machine learning, performs learning while changing the weights as it progresses through each learning process. Tensor Flow and Keras provide the results of the end of the learning in graph form. Thus, If an error occurs, the result must be discarded. Consequently, existing technologies provide a function to roll back learning results, but the rollback function is limited to results up to five times. Moreover, they applied the concept of MLOps to track the deep learning process, but no rollback capability is provided. In this paper, we construct a system that manages the intermediate value of the learning process by blockchain to record the intermediate learning process and can rollback in the event of an error. To perform the functions of blockchain, the deep learning process and the rollback of learning results are designed to work by writing Smart Contracts. Performance evaluation shows that, when evaluating the rollback function of the existing deep learning method, the proposed method has a 100% recovery rate, compared to the existing technique, which reduces the recovery rate after 6 times, down to 10% when 50 times. In addition, when using Smart Contract in Ethereum blockchain, it is confirmed that 1.57 million won is continuously consumed per block creation.

Shape Optimization of Three-Way Reversing Valve for Cavitation Reduction (3 방향 절환밸브의 공동현상 저감을 위한 형상최적화)

  • Lee, Myeong Gon;Lim, Cha Suk;Han, Seung Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.39 no.11
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    • pp.1123-1129
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    • 2015
  • A pair of two-way valves typically is used in automotive washing machines, where the water flow direction is frequently reversed and highly pressurized clean water is sprayed to remove the oil and dirt remaining on machined engine and transmission blocks. Although this valve system has been widely used because of its competitive price, its application is sometimes restricted by surging effects, such as pressure ripples occurring in rapid changes in water flow caused by inaccurate valve control. As an alternative, one three-way reversing valve can replace the valve system because it provides rapid and accurate changes to the water flow direction without any precise control device. However, a cavitation effect occurs because of the complicated bottom plug shape of the valve. In this study, the cavitation index and percent of cavitation (POC) were introduced to numerically evaluate fluid flows via computational fluid dynamics (CFD) analysis. To reduce the cavitation effect generated by the bottom plug, the optimal shape design was carried out through a parametric study, in which a simple computer-aided engineering (CAE) model was applied to avoid time-consuming CFD analysis and difficulties in achieving convergence. The optimal shape design process using full factorial design of experiments (DOEs) and an artificial neural network meta-model yielded the optimal waist and tail length of the bottom plug with a POC value of less than 30%, which meets the requirement of no cavitation occurrence. The optimal waist length, tail length and POC value were found to 6.42 mm, 6.96 mm and 27%, respectively.

The Content-Based Image Retrieval by using Color Histogram and Shape-Based Feature Extraction (컬러 히스토그램과 형상 기반 특징 추출을 이용한 내용 기반 영상 검색)

  • Kang, Hyun-Inn;Ju, Yong-Wan;Baek, Kwang-Ryul
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.10
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    • pp.113-122
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    • 1999
  • When we want to retrieve the most similar image from the image database, the color histogram intersection, shape feature and texture feature comparing method are used as a metric to measure the similarity. In order to increase the accuracy of retrievals, we need to integrate two different features. In this paper, the histogram intersection and shape based block histogram intersection method are used. This method results in a high efficient algorithm that meets a similar accuracy and a relatively fast retrieval speed compared to the method of integration of two different features. The Proposed algorithm is tested on retrievals of image database consisting of various 600 images and we implemented that the proposed algorithm gives fast, high efficiency and reliability compared to others.

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