• Title/Summary/Keyword: Surface Management System

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THE ESTABLISHMENT OF EFFECTIVE PRODUCT MANAGEMENT THROUGH POSCO INTELLIGENT PROCESS OPTIMIZATION SYSTEM IN PLATE ROLLING (후판종합 품질관리시스템(PIPO) 개발을 통한 과학적 생산관리체계 구축)

  • 성회윤;성언식;주세돈
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1999.08a
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    • pp.217-219
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    • 1999
  • In the demands of the high precise qualities of the products and product management by the customers, the general comprehensive system are necessary for the management with product qualities in plate rolling in concern with dimensions, shape, temperature, surface condition, material properties and so on. The PIPO(POSCO Intelligent Process Optimization) system has been developed in plate rolling for the these needs. This paper is concerned with a study of organization, major function and future plans for the development of the PIPO system.

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Implementation of 3D Road Surface Monitoring System for Vehicle based on Line Laser (선레이저 기반 이동체용 3차원 노면 모니터링 시스템 구현)

  • Choi, Seungho;Kim, Seoyeon;Kim, Taesik;Min, Hong;Jung, Young-Hoon;Jung, Jinman
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.101-107
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    • 2020
  • Road surface measurement is an essential process for quantifying the degree and displacement of roughness in road surface management. For safer road surface management and quick maintenance, it is important to accurately measure the road surface while mounted on a vehicle. In this paper, we propose a sophisticated road surface measurement system that can be measured on a moving vehicle. The proposed road surface measurement system supports more accurate measurement of the road surface by using a high-performance line laser sensor. It is also possible to measure the transverse and longitudinal profile by matching the position information acquired from the RTK, and the velocity adaptive update algorithm allows a manager to monitor in a real-time manner. In order to evaluate the proposed system, the Gocator laser sensor, MRP module, and NVIDIA Xavier processor were mounted on a test mobile and tested on the road surface. Our evaluation results demonstrate that our system measures accurate profile base on the MSE. Our proposed system can be used not only for evaluating the condition of roads but also for evaluating the impact of adjacent excavation.

Data Driven Approach to Forecast Water Turnover (데이터 탐색 기법 활용 전도현상 예측모형)

  • Kwon, Sehyug
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.3
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    • pp.90-96
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    • 2018
  • This paper proposed data driven techniques to forecast the time point of water management of the water reservoir without measuring manganese concentration with the empirical data as Juam Dam of years of 2015 and 2016. When the manganese concentration near the surface of water goes over the criteria of 0.3mg/l, the water management should be taken. But, it is economically inefficient to measure manganese concentration frequently and regularly. The water turnover by the difference of water temperature make manganese on the floor of water reservoir rise up to surface and increase the manganese concentration near the surface. Manganese concentration and water temperature from the surface to depth of 20m by 5m have been time plotted and exploratory analyzed to show that the water turnover could be used instead of measuring manganese concentration to know the time point of water management. Two models for forecasting the time point of water turnover were proposed and compared as follow: The regression model of CR20, the consistency ratio of water temperature, between the surface and the depth of 20m on the lagged variables of CR20 and the first lag variable of max temperature. And, the Box-Jenkins model of CR20 as ARIMA (2, 1, 2).

International Caries Detection and Assessment System (ICDAS) (최신 치아우식 진단기준 : International Caries Detection and Assessment System (ICDAS))

  • Choi, Youn-Hee
    • The Journal of the Korean dental association
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    • v.49 no.8
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    • pp.451-460
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    • 2011
  • Dental caries has been widely prevalent with presence of cavitation on teeth. For the last several decades, the prevalence of dental caries in developed countries has rapidly decreased so there has been needed a new and detailed diagnostic guideline to differentiate the severity of dental caries, especially for early status of caries. The cariology specifically requires the development of an integrated definition of dental caries and uniform systems for measuring the caries process in the fields of clinical diagnosis and treatment, epidemiological researches, and dental education and so forth. The international Caries Detection and Assessment System (ICDAS) optically measures the enamel surface changes and potential histological depth of carious lesions by relying on surface characteristics of teeth. ICDAS is a visual classification system that was developed to diagnose the subtle changes of enamel surface, predict the progress direction of early caries, allow standardized data collection in relation to caries in different settings, and to enable better comparison of oral health between countries worldwide and research studies.

Study on a New Response Function Estimation Method Using Neural Network (신경망 기법을 이용한 새로운 반응함수 추정 방법에 관한 연구)

  • Hoang, Thanh-Tra;Le, Tuan-Ho;Shin, Sangmun;Jeong, Woo-Sik;Kim, Chul-Soo
    • Journal of Korean Society for Quality Management
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    • v.41 no.2
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    • pp.249-260
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    • 2013
  • Purpose: The main objective of this paper is to propose an RD method by developing a neural network (NN)-based estimation approach in order to provide an alternative aspect of response surface methodology (RSM). Methods: A specific modeling procedure for integrating NN principles into response function estimations is identified in order to estimate functional relationships between input factors and output responses. Finally, a comparative study based on simulation is performed as verification purposes. Results: This simulation study demonstrates that the proposed NN-based RD method provides better optimal solutions than RSM. Conclusion: The proposed NN-based RD approach can be a potential alternative method to utilize many RD problems in competitive manufacturing nowadays.

Optimization of Triple Response Systems by Using the Dual Response Approach and the Hooke-Jeeves Search Method

  • Fan, Shu-Kai S.;Huang, Chia-Fen;Chang, Ko-Wei;Chuang, Yu-Chiang
    • Industrial Engineering and Management Systems
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    • v.9 no.1
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    • pp.10-19
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    • 2010
  • This paper presents an extended computing procedure for the global optimization of the triple response system (TRS) where the response functions are nonconvex (nonconcave) quadratics and the input factors satisfy a radial region of interest. The TRS arising from response surface modeling can be approximated using a nonlinear mathematical program involving one primary (objective) function and two secondary (constraints) functions. An optimization algorithm named triple response surface algorithm (TRSALG) is proposed to determine the global optimum for the nondegenerate TRS. In TRSALG, the Lagrange multipliers of target (secondary) functions are computed by using the Hooke-Jeeves search method, and the Lagrange multiplier of the radial constraint is located by using the trust region (TR) method at the same time. To ensure global optimality that can be attained by TRSALG, included is the means for detecting the degenerate case. In the field of numerical optimization, as the family of TR approach always exhibits excellent mathematical properties during optimization steps, thus the proposed algorithm can guarantee the global optimal solution where the optimality conditions are satisfied for the nondegenerate TRS. The computing procedure is illustrated in terms of examples found in the quality literature where the comparison results with a gradient-based method are used to calibrate TRSALG.

Application of Tunnel Information Management System and Tunnel Collapse Inference System in Tunnel (터널 정보관리 시스템과 터널 붕락 예측 시스템 적용성 연구)

  • 마상준;서경원
    • Journal of the Korean Society for Railway
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    • v.5 no.2
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    • pp.84-92
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    • 2002
  • For an efficient management and analysis of geological/geotechnical data obtained during site investigations or tunnel construction, Tunnel Information System(TIS) was developed in this study. TIS is running in CIS(Geographical Information System) which has a spatial data. TIS consists of two parts, the Tunnel Face Mapping System(FaceMap), to record a geological features by observations and measurements at the surface of the excavation, the Borehole Data Management System(BDMS), to store the different types of rock data related to boreholes. Using the database of collapsed tunnels, 20 in Korea and 84 in Europe and with an artificial neural network, an expert system was developed for inferring the tunnel collapse pattern and its volume. And by applying Geo-predict, the system developed, in tunnels under construction, observed data from the $\bigcirc$$\bigcirc$tunnl site was compared and analyzed.

Developmen tof a Production lnformation System for Marine Propellers (박용프로펠러 생산정보시스템 개발)

  • Park Jaeseong;Kim Dong-Soo;Jun Cha-Soo;Park Jung W.;Ju Sang-yoon
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.05a
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    • pp.194-199
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    • 2003
  • Developed m this research is a production information system for marie propellers. The paper deals with surface modeling and tool path generation modules of the system. Since the input point data may have some errors, the data is examined using the 2nd divided difference. The point data is interpolated to a $G^2$ chord-length spline surface with some end-conditions. The effects of the various end-conditions on the interpolated surface are discussed in the paper. The tool paths for blade, fillet, and boss of the propeller are generated. Some illustrative examples from an industry are presented.

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Improvement of Consensus Quality for PoN Blockchain System Using Response Surface Methodology (반응표면분석을 이용한 PoN 블록체인 시스템 합의품질 개선)

  • Choi, Jin Young;Kim, Young Chang;Oh, Jintae;Kim, Kiyoung
    • Journal of Korean Society for Quality Management
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    • v.49 no.4
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    • pp.527-537
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    • 2021
  • Purpose: The purpose of this study was to suggest an improved version of Proof-of-Nonce (PoN) algorithm, which is a distributed consensus algorithm used for block chain system. Methods: First, we used response surface method for design of experiment that is to generate experimental points considering non-linear relationship among variables. Then, we employed overlapped contour plots for visualizing the impact of control variables to performance target. Results: First, we modified the consensus procedure of the existing PoN algorithm by diminishing the content of the exchanged message. Then, we verified the performance improvement of the new PoN algorithm by performing a numerical experiment and paired t-test. Finally, we established new regression models for consensus time and Transactions per second (TPS) and proposed a method for optimizing control variables for obtaining performance target. Conclusion: We could improve the performance of the previous version of PoN algorithm by modifying the content of the exchanged message during 4-steps of consensus procedure, which might be a stepping stone for designing an efficient and effective consensus algorithm for blockchain system with dynamic operation environment.

Analysis of surface design and panel optionsfor freeform building

  • Min Gyu Park;Han Guk Ryu
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.553-557
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    • 2013
  • Roof and exterior wall are designed and constructed in a manner that prevents the accumulation of water within the wall and roof assembly in the formal building. However, in a freeform building there is no clear distinction between exterior wall and roof. In other words, the exterior walls and roof systems of the freeform building are integrated as a surface, unlike the formal building envelope. Therefore, freeform architecture needs a systemized envelope design method to perform functions of exterior wall and roof. However, in many cases, construction methods for roof and exterior wall are applied to freeform buildings without necessary alterations, which lead to incomplete design, leakage, cracks and other problems. Freeform architecture is thus designed and constructed differently from formal buildings. In order to more easily and inexpensively actualize freeform architecture, Building Information Modeling (hereinafter referred to as BIM) has recently been applied in the construction industry. The studies and case analysis are not sufficient to identify the implications and contributions of freeform buildings in future similar projects. Therefore, this research will study design and construction methods for freeform surfaces. This study attempts to analyze the pros and cons of each method for the concrete surface frame, and then presents the panel options for envelope system of the freeform architecture.

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