• Title/Summary/Keyword: Data display

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Integration of Ship Outfitting BOM with Lifecycle Stages (선박 의장 BOM을 Lifecycle을 고려한 BOM 통합 방안 연구)

  • Kim, Dae-Seok;Lee, Kyung-Ho;Lee, Jang-Hyun;Lee, Jung-Min;Lee, Kwang;Kim, Jin-Ho
    • Korean Journal of Computational Design and Engineering
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    • v.16 no.3
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    • pp.187-196
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    • 2011
  • Generally, BOM (Bill of Material) means a part list which is needed to manufacture or assemble a product or part. During manufacturing processes, BOM is inevitably required for most of enterprise processes such as design, procurement, production planning/control, resource planning, and financial works. Every manufacturing industry uses many kinds of BOM's that are adjusted to the requirement of functions of their work division. Moreover, BOM evolves in different forms according to the product development phases such as conceptual design; function design, detail design, and production design because it is necessary to use different product structures to keep product data generated throughout the lifecycle of a product. This includes all data and information related to the all the product development phases. Shipbuilding works also are processed and controlled based on BOM. However, effective maintenance of ship outfitting BOM data is getting difficult as the amount and complexity of data have increased due to variety and long lifecycle of ship. For the effective management of outfitting BOM data, two aspects must be considered. One is how to classify numerous BOMs type and the others how to display BOMs. So this study suggests a method to classify BOM types and propose two categories - Structure BOM, Display BOM. Base on this result, we propose the integrated ship outfitting BOMs model and analysis outfitting BOMs.

Local Projective Display of Multivariate Numerical Data

  • Huh, Myung-Hoe;Lee, Yong-Goo
    • The Korean Journal of Applied Statistics
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    • v.25 no.4
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    • pp.661-668
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    • 2012
  • For displaying multivariate numerical data on a 2D plane by the projection, principal components biplot and the GGobi are two main tools of data visualization. The biplot is very useful for capturing the global shape of the dataset, by representing $n$ observations and $p$ variables simultaneously on a single graph. The GGobi shows a dynamic movie of the images of $n$ observations projected onto a sequence of unit vectors floating on the $p$-dimensional sphere. Even though these two methods are certainly very valuable, there are drawbacks. The biplot is too condensed to describe the detailed parts of the data, and the GGobi is too burdensome for ordinary data analyses. In this paper, "the local projective display(LPD)" is proposed for visualizing multivariate numerical data. Main steps of the LDP are 1) $k$-means clustering of the data into $k$ subsets, 2) drawing $k$ principal components biplots of individual subsets, and 3) sequencing $k$ plots by Hurley's (2004) endlink algorithm for cognitive continuity.

A Study on Real-Time SOC Structure Behavior Evaluation System using Big Data (Big data를 이용한 실시간 SOC 구조물 거동분석 시스템 연구)

  • Jung-Youl Choi;Jae-Min Han;Dae-Hui Ahn;Jee-Seung Chung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.691-695
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    • 2023
  • Currently, the utilization of measurement results of the automated measurement system is very low and is at the level of providing only fragmentary measurement results. In this study, we are going to study a structure behavior analysis 3D display system with high precision and reliability for automated measurement data obtained by constructing big data by transmitting massive data values measured in real time to the cloud and using a Python-based algorithm. As a result of the study, as a system that can evaluate the behavior of a structure to a manager in real time, it provides analysis data in real time without significant restrictions regardless of the type of measurement data and sensor, and derived it as a 3D display. In addition, it was analyzed that the manager could grasp the behavior graph of the structure in real time and more easily judge the derivation of the weak part of the structure through data analysis. In the future, by analyzing the behavior of structures in three dimensions using past and present data, it is expected that more effective measurement results can be obtained in terms of repair, reinforcement, and maintenance of realistic structures.

Taxation Analysis Using Machine Learning (머신러닝을 이용한 세금 계정과목 분류)

  • Choi, Dong-Bin;Jo, In-su;Park, Yong B.
    • Journal of the Semiconductor & Display Technology
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    • v.18 no.2
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    • pp.73-77
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    • 2019
  • Data mining techniques can also be used to increase the efficiency of production in the tax sector, which requires professional skills. As tax-related computerization was carried out, large amounts of data were accumulated, creating a good environment for data mining. In this paper, we have developed a system that can help tax accountant who have existing professional abilities by using data mining techniques on accumulated tax related data. The data mining technique used is random forest and improved by using f1-score. Using the implemented system, data accumulated over two years was learned, showing high accuracy at prediction.

Design of Asynchronous Nonvolatile Memory Module using Self-diagnosis Function (자기진단 기능을 이용한 비동기용 불휘발성 메모리 모듈의 설계)

  • Shin, Woohyeon;Yang, Oh;Yeon, Jun Sang
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.1
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    • pp.85-90
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    • 2022
  • In this paper, an asynchronous nonvolatile memory module using a self-diagnosis function was designed. For the system to work, a lot of data must be input/output, and memory that can be stored is required. The volatile memory is fast, but data is erased without power, and the nonvolatile memory is slow, but data can be stored semi-permanently without power. The non-volatile static random-access memory is designed to solve these memory problems. However, the non-volatile static random-access memory is weak external noise or electrical shock, data can be some error. To solve these data errors, self-diagnosis algorithms were applied to non-volatile static random-access memory using error correction code, cyclic redundancy check 32 and data check sum to increase the reliability and accuracy of data retention. In addition, the possibility of application to an asynchronous non-volatile storage system requiring reliability was suggested.

A Study on Density-Based Clustering Method Considering Directionality (방향성을 고려한 밀도 기반 클러스터링 기법에 관한 연구)

  • Jinman Kim;Joongjin Kook
    • Journal of the Semiconductor & Display Technology
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    • v.23 no.2
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    • pp.38-44
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    • 2024
  • This research proposed DBSCAN-D, which is a clustering technique for locating POI based on existing density-based clustering research, such as GPS data, generated by moving objects. This method is designed based on 'staying time' and 'directionality' extracted from the relationship between GPS data. The staying time can be extracted through the difference in the reception time between data using the time at which the GPS data is received. Directionality can be expressed by moving the area of data generated later in the direction of the position of the previously generated data by concentrating on the point where the GPS data is sequentially generated. Through these two properties, it is possible to perform clustering suitable for the data set generated by the moving object.

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Data Transformation and Display Technique for 3D Visualization of Rainfall Radar (강우레이더의 3차원 가시화를 위한 데이터 변환 및 표출기법)

  • Kim, Hyeong Hun;Park, Hyeon Cheol;Choi, Yeong Cheol;Kim, Tae Su;Choung, Yun Jae
    • Journal of Korea Multimedia Society
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    • v.20 no.2
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    • pp.352-362
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    • 2017
  • This paper proposes an algorithm for automatically converting and displaying rainfall radar data on a 3D GIS platform. The weather information displayed like rainfall radar data is updated frequently and large-scale. Thus, in order to efficiently display the data, an algorithm to convert and output the data automatically, rather than manually, is required. In addition, since rainfall data is extracted from the space, the use of the display image fused with the 3D GIS data representing the space enhances the visibility of the user. To meet these requirements, this study developed the Auto Data Converter application that analyzes the raw data of the rainfall radar and convert them into a universal format. In addition, Unity 3D, which has good development accessibility, was used for dynamic 3D implementation of the converted rainfall radar data. The software applications developed in this study could automatically convert a large volume of rainfall data into a universal format in a short time and perform 3D modeling effectively according to the data conversion on the 3D platform. Furthermore, the rainfall radar data could be merged with other GIS data for effective visualization.

Recent LCD driving technologies for stereoscopic FHD 3D display system

  • Choi, Hee-Jin;Lee, Jun-Pyo;Kim, Jung-Won;Kim, Seon-Ki;Kim, Nam-Deog
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.438-440
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    • 2009
  • In this paper, we describe the latest LCD driving technology which helps to realize the stereoscopic 3D display system with FHD resolution by using the 240Hz LCD panel. The 240Hz LCD system has two times more data than current 120Hz and can cover the crosstalk due to the progressive scan.

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PanelLink Digital Flat Panel Display Transmitter for TFT LCD Test (TFT LCD 검사용 패널링크 디지털 플랫 패널 디스플레이 송신부 구현)

  • Lee, Seon-Bok;Baek, Woon-Sung;Park, Chang-Soo;Hong, Cheol-Ho
    • Proceedings of the KIEE Conference
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    • 1998.11b
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    • pp.621-623
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    • 1998
  • We implemented PanelLlnk digital flat panel display transmitter supporting SXGA($1280{\times}1024$) resolution. It can transmit data through 10m cable at XGA($1024{\times}768$) resolution and through 7m cable at SXGA($1280{\times}1024$). We also found resistor value to get stable display image by low voltage differential signal swing control.

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DDC-Based Control of Display Systems for Low-Power Consumption (저소비 전력을 위한 DDC기반의 디스플레이 시스템 제어)

  • 임현식;이인환
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10a
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    • pp.673-675
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    • 2004
  • 컴퓨터 시스템의 구성 요소인 디스플레이 시스템은 가장 많은 전력을 소모하는 장치이다. 디스플레이 시스템의 전력을 효과적으로 줄이기 위하여 이미지 제어, 주파수 제어 등이 있지만 가장 효과적인 것은 LCD 패널부와 백라이트(backlight)를 제어하는 것이다. 본 논문에서는 디스플레이 시스템에서 DDC(Display Data Channel)를 이용하여 패널과 백 라이트 전압 레벨을 조절하여 저전력을 구현하였다. 호스트(PC)에서 동작하는 응용프로그램의 작성과 호스트의 영령을 받아 처리할 수 있는 디스플레이부를 구현하였다. 데스크탑 컴퓨터와 15, 17인치 LCD(Liquid Crystal Display) 모니터에서 소비 전력을 측정하였으며, 2-86%정도의 소비 전력을 줄이는 결과를 확인하였다.

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