• Title/Summary/Keyword: NC-Data

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Generation of Trimmed Surfaces in a Surface Modeling System (곡면모델러에서의 트리밍곡면 생성)

  • 전용태;이숙진;최재붕;박세형
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.17 no.6
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    • pp.1372-1380
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    • 1993
  • Surface trimming is an essential function in a surface modeler for representing multi-boundary surfaces, blended surfaces, and surfaces with islands or pockets. A procedure and a data structure for designing trimmed surfaces were developed. For generating a trimmed surface, edges (curves difined on a surface) are generated and trimmed first. Then the trimmed edges are selected sequentially to form a closed loop. The data of supporting surface, surface on which the trimmed surface is defined, and bounding edges are stored and used for the application such as NC programming, robot programming, graphic display, etc.

A Study on the Implementation of Fieldbus-Based Manufacturing Automation Systems (필드버스를 이용한 생산자동화 시스템 구축 기술 연구)

  • Hong, Seung-Ho;Park, Tae-Jin
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.3 s.96
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    • pp.91-102
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    • 1999
  • Fieldbus provides real-time data communication among field devices in the manufacturing automation and process control systems. In this study, an experimental model of fieldbus-based manufacturing automation system is developed. Experimental model consists of two robots, two conveyor belts, NC machine, PLC, sensors and operator station. These machines are interconnected into the Profibus network, and exchange their data through the services provided by FMS(Fieldbus Message Specification), which is the application layer protocol of Profibus. The experimental model is used to measure the network-induced delay of variable and file data transmitted through FMS services. Network-induced delays are collected and analyzed on each sublayer of Profibus protocol stack. The results obtained from the experiment of this study can be effectively utilized when fieldbus is implemented on the practical manufacturing automation systems.

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Dietary Effect of Silk Protein on Ceramide Synthesis and the Expression of Ceramide Metabolic Enzymes in the Epidermis of NC/Nga Mice (실크단백질의 식이 공급이 아토피 피부염 동물 모델 NC/Nga Mice 피부의 세라마이드 함량 및 관련인자 발현에 미치는 영향)

  • Park, Kyung-Ho;Choi, Young-Sim;Kim, Hyun-Ae;Lee, Kwang-Gill;Yeo, Joo-Hong;Jung, Do-Hyun;Kim, Sung-Han;Cho, Yun-Hi
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.36 no.5
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    • pp.554-562
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    • 2007
  • Ceramide rich intercellular lipid lamellae are thought to be particularly important in maintaining the structural integrity of epidermal barrier. Ceramide is synthesized de novo by serine palmitoyltransferase (SPT) phospholipid intermediates, serine and palmitic acid persist within the stratum corneum. The ceramide which is synthesized is degraded with fatty acid and sphingosine by degradative enzyme ceramidase. The depletion of ceramide in stratum corneum was reported in the atopic dermatitis. As an effort to search for the dietary source for improving the level of ceramide in epidermis, the dietary effects of various-typed silk protein were compared. Seventy male NC/Nga mice, an animal model of atopic dermatitis, were divided into seven groups: group CA as an atopic control with control diet, group S: 1% crude sericin diet, group F: 1% crude fibroin diet, group PS : peptide pattern of sericin(Mw 5000), group PF: peptide pattern of fibroin (Mw 1500), group AS: manufactured the same as amino acid profile of sericin and group AF: manufactured the same as amino acid profile of fibroin. Ten male BALB/c mice were served as group C (control group) control diet. All mice were fed on diet and water ad libitum for 10 weeks. Dry skin condition was established in group CA as ceramide content was decreased. Despite a marked decrease of mRNA and prorein expression of SPT, enzyme do novo synthesis, ceramide content of group S was dramatically increased by inhibiting the mRNA and protein expression of degradative enzyme ceramidase. However, dietary supplementation of crude silk fibroin protein (group F) and in other groups that were supplemented with either amino acid or peptide type of sericin or fibroin did not increase the level of ceramide. Together, our data demonstrate that dietary supplementation of crude sericin is more effective at improving ceramide level in epidemis of NC/Nga mice.

Big Data Education Contents for Healthcare Officials (보건의료담당 공무원을 위한 빅데이터 교육콘텐츠)

  • Kim, Yang-Woo
    • The Journal of the Korea Contents Association
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    • v.20 no.5
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    • pp.236-242
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    • 2020
  • Big data technology has been rising as a leading technology in the healthcare paradigm. As a world-class big data nation including National Health Insurance data, Korea has been focused on health policies and sustainability through database forecasting and policy establishment. So the need for education of big data by public officials in healthcare sector is increasing. However, there has not yet been National Competency Standards(NCS) or education modules, in this study, healthcare big data education module and content have been developed for the public servants with confidence.

Variable selection and prediction performance of penalized two-part regression with community-based crime data application

  • Seong-Tae Kim;Man Sik Park
    • Communications for Statistical Applications and Methods
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    • v.31 no.4
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    • pp.441-457
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    • 2024
  • Semicontinuous data are characterized by a mixture of a point probability mass at zero and a continuous distribution of positive values. This type of data is often modeled using a two-part model where the first part models the probability of dichotomous outcomes -zero or positive- and the second part models the distribution of positive values. Despite the two-part model's popularity, variable selection in this model has not been fully addressed, especially, in high dimensional data. The objective of this study is to investigate variable selection and prediction performance of penalized regression methods in two-part models. The performance of the selected techniques in the two-part model is evaluated via simulation studies. Our findings show that LASSO and ENET tend to select more predictors in the model than SCAD and MCP. Consequently, MCP and SCAD outperform LASSO and ENET for β-specificity, and LASSO and ENET perform better than MCP and SCAD with respect to the mean squared error. We find similar results when applying the penalized regression methods to the prediction of crime incidents using community-based data.

An Exploratory Study on the Big Data Convergence-based NCS Homepage : focusing on the Use of Splunk (빅데이터 융합 기반 NCS 홈페이지에 관한 탐색적 연구: 스플렁크 활용을 중심으로)

  • Park, Seong-Taek;Lee, Jae Deug;Kim, Tae Ung
    • Journal of Digital Convergence
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    • v.16 no.7
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    • pp.107-116
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    • 2018
  • One of the key mission is to develop and prompte the use National Competency Standards, which is defined to be the systemization of competencies(knowledge, skills and attitudes) required to perform duties at the workplace by the nation for each industrial sector and level. This provides the basis for the design of training and detailed specifications for workplace assessment. To promote the data-driven service improvement, the commercial product Splunk was introduced, and has grown to become an extremely useful platform because it enables the users to search, collect, and organize data in a far more comprehensive, far less labor-intensive way than traditional databases. Leveraging Splunk's built-in data visualization and analytical features, HRD Korea have built custom tools to gain new insight and operational intelligence that organizations have never had before. This paper analyzes the NCS homepage. Concretely, applying Splunk in creating visualizations, dashboards and performing various functional and statistical analysis and structure without Web development skills. We presented practical use and implications through case studies.

Developement of Measuring System of Circular Motion Accuracy in Machining Center (머시닝 센터에서 원운동정도 측정시스템의 개발)

  • 김영석
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.4 no.3
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    • pp.58-66
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    • 1995
  • It is very important to test motion accuracy and performance of NC machine tools as they affect that of all other machines machined by them in industry. In this paper, in has become possible to detect errors of linear displacement of radial direction for circular motion test using newly assembled magnetic type of linear scales so called Magnescale ball bar system, and to calculate time interval getting error motion data and revolution angle of circular motion in machining center using tick pulses come out from computer. And a set of error data gotten from test is expressed to a plot by computer treatment and to numerics of error motion by statistical treatment and results of test are compared with those of Renishaw ball bar system.

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The Development of Intelligent Polishing Robot Automation System of the Metal-Mold using Personal Computer Program and Automatic Tool Change System (자동공구교환장치와 PC용 프로그램을 이용한 지능형 연마 로봇시스템의 개발)

  • 안종석;유범상;오영섭
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.3-8
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    • 2002
  • An intelligent polishing robot automation system is developed. Automatic Tool Change System(A.T.C.), Tool Posture Angle Control, and Robot Program for Polishing Application are developed and integrated into a robotic system that consists of a robot, pneumatic finding tool, and finding abrasives (papers and special films). A.T.C. is specifically designed to exchange whole grinding tool set for complete unmanned operation. Tool Posture Angle Control is developed to give a certain skew angle rather than right angle to tools on the surface for best finishing results. A.T.C. and Tool Posture Angle Control is controlled by a PC and the robot controller. Also, there have been some considerations on enhancing the performance of the system. Some elastic material is inserted between the grinding pad and the holder for better grinding contact. The robot path data is generated automatically from the NC data of previous machining process.

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Inspection for Large 2D machining product using robot vision (로봇비젼을 이용한 대형 2차원 가공물의 검사)

  • 정병묵;이성건;조지승
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.177-180
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    • 2002
  • Generally, it is very difficult to inspect geometric shape of large 2D objects after machining. To maintain the accuracy for inspection, a robot vision is used to divide overall shape into several enlarged images, and image processing technique is applied to acquire one minute geometric contour. The inspection is to compare the NC data with the measured contour data by the vision system, and the algorithm is to rotate to minimize the maximum deviation coinciding two geometric centers. This paper experimentally shows that the proposed inspection algorithm is very useful fur a large machined object.

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Vision Inspection for Large 2D Machining Product using Tolerance Zone (공차영역을 이용한 대형 2차원 가공물의 형상 검사)

  • 이성건;정병묵;조지승
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.11
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    • pp.112-119
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    • 2002
  • Generally, it is very difficult to inspect geometric shape of large 2D objects after machining. To maintain the accuracy for inspection, a robot vision is used to divide overall shape into several enlarged images, and image processing technique is applied to acquire one minute geometric contour. The inspection is to compare the NC data with the measured contour data by the vision system, and the algorithm is to rotate to minimize the maximum deviation after coinciding two geometric centers. This paper experimentally shows that the proposed algorithm is very useful for inspection of large machined objects.