• Title/Summary/Keyword: Input Data

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LVDS I/O Cells with Rail-to-Rail Input Receiver

  • Lim, Byong-Chan;Lee, Sung-Ryong;Kwon, Oh-Kyong
    • 한국정보디스플레이학회:학술대회논문집
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    • 2002.08a
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    • pp.567-570
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    • 2002
  • The LVDS (Low Voltage Differential Signaling) I/O cells, fully compatible with ANSI TIA/ EIA-644 LVDS standard, are designed using a 0.35${\mu}m$ standard CMOS technology. With a single 3V supply, the core cells operate at 1.34Gbps and power consumption of the output driver and the input receiver is 10. 5mW and 4.2mW, respectively. In the output driver, we employ the DCMFB (Dynamic Common-Mode FeedBack) circuit which can control the DC offset voltage of differential output signals. The SPICE simulation result of the proposed output driver shows that the variation of the DC offset voltage is 15.6% within a permissible range. In the input receiver, the proposed dual input stage with a positive feedback latch covers rail-to-rail input common-mode range and enables a high-speed, low-power operation. 5-channels of the proposed LVDS I/O pair can handle display data up to 8-bit gray scale and UXGA resolution.

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Evaluationn of the Accuracy for Regional Input Coefficients Estimated by Non-survey Methods (지역투입계수의 정확성 평가에 관한 연구)

  • 고석남;곽철홍
    • Journal of the Korean Regional Science Association
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    • v.12 no.2
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    • pp.1-19
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    • 1996
  • The purpose of this paper is to evaluate the accuracy of input coefficients which are usually estimated by various non-survey methods. The resulting analysis showed that there were considerable differences employed. One of the interesting findings was that the simple LQ method was shown to be better then the other non-survey methods with respect to the degree of accuracy. And from a sensitivity analysis which was to show the effect of changes in input coefficients on the level of production by industry, an increase of 10% in the value of input coefficient (machinary and equipment setor) resulted up to 500billion Won in GRP for the case region. Therfore one of the implications which we can derive from the resulting analysis is that it necessary to pay attention to the key coefficients first to save out time and money, while retaining a certain level of accuracy. One thing to be noted, however, is that the key coefficients but the total effects which are calculated through the Leontief inverse matrices. Therfore to enhance the accuracty of input coefficients estimated by nonsurvey methods it is required to handle the relevant setoral data more carefully or to employ semi-survey method in part.

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Accurate application of Gaussian process regression for cosmology

  • Hwang, Seung-gyu;L'Huillier, Benjamin
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.1
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    • pp.48.1-48.1
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    • 2021
  • Gaussian process regression (GPR) is a powerful method used for model-independent analysis of cosmological observations. In GPR, it is important to decide an input mean function and hyperparameters that affect the reconstruction results. Depending on how the input mean function and hyperparameters are determined in the literature, I divide into four main applications for GPR and compare their results. In particular, a zero mean function is commonly used as an input mean function, which may be inappropriate for reconstructing cosmological observations such as the distance modulus. Using mock data based on Pantheon compilation of type Ia supernovae, I will point out the problem of using a zero input and suggest a new way to deal with the input mean function.

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Development of new on-line statistical program for the Korean Society for Radiation Oncology

  • Song, Si Yeol;Ahn, Seung Do;Chung, Weon Kuu;Shin, Kyung Hwan;Choi, Eun Kyung;Cho, Kwan Ho
    • Radiation Oncology Journal
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    • v.33 no.2
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    • pp.142-148
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    • 2015
  • Purpose: To develop new on-line statistical program for the Korean Society for Radiation Oncology (KOSRO) to collect and extract medical data in radiation oncology more efficiently. Materials and Methods: The statistical program is a web-based program. The directory was placed in a sub-folder of the homepage of KOSRO and its web address is http://www.kosro.or.kr/asda. The operating systems server is Linux and the webserver is the Apache HTTP server. For database (DB) server, MySQL is adopted and dedicated scripting language is the PHP. Each ID and password are controlled independently and all screen pages for data input or analysis are made to be friendly to users. Scroll-down menu is actively used for the convenience of user and the consistence of data analysis. Results: Year of data is one of top categories and main topics include human resource, equipment, clinical statistics, specialized treatment and research achievement. Each topic or category has several subcategorized topics. Real-time on-line report of analysis is produced immediately after entering each data and the administrator is able to monitor status of data input of each hospital. Backup of data as spread sheets can be accessed by the administrator and be used for academic works by any members of the KOSRO. Conclusion: The new on-line statistical program was developed to collect data from nationwide departments of radiation oncology. Intuitive screen and consistent input structure are expected to promote entering data of member hospitals and annual statistics should be a cornerstone of advance in radiation oncology.

A Study on the Data Analysis of Fire Simulation in Underground Utility Tunnel for Digital Twin Application (디지털트윈 적용을 위한 지하공동구 화재 시뮬레이션의 데이터 분석 연구)

  • Jae-Ho Lee;Se-Hong Min
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.82-92
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    • 2024
  • Purpose: The purpose of this study is to find a solution to the massive data construction that occurs when fire simulation data is linked to augmented reality and the resulting data overload problem. Method: An experiment was conducted to set the interval between appropriate input data to improve the reliability and computational complexity of Linear Interpolation, a data estimation technology. In addition, a validity verification was conducted to confirm whether Linear Interpolation well reflected the dynamic changes of fire. Result: As a result of application to the underground common area, which is the study target building, it showed high satisfaction in improving the reliability of Interpolation and the operation processing speed of simulation when data was input at intervals of 10 m. In addition, it was verified through evaluation using MAE and R-Squared that the estimation method of fire simulation data using the Interpolation technique had high explanatory power and reliability. Conclusion: This study solved the data overload problem caused by applying digital twin technology to fire simulation through Interpolation techniques, and confirmed that fire information prediction and visualization were of great help in real-time fire prevention.

Design of Wide - range Clock and Data Recovery Circuit based Dual-loop DLL using 2-step DPC (2-step DPC를 이용한 이중루프 DLL기반의 광대역 클록 데이터 복원회로 설계)

  • Jung, Ki-Sang;Kim, Kang-Jik;Ko, Gui-Han;Cho, Seong-Ik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.2
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    • pp.324-328
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    • 2012
  • A recovered jitter of CDR(Clock and Data Recovery) Circuit based on Dual-loop DLL(Delay Locked Loop) for data recovery in high speed serial data communication is changed by depending on the input data and reference clock frequency. In this paper, 2-step DPC which has constant jitter performance for wide-range input frequency is proposed. The designed prototype 2-step CDR using proposed 2-step DPC has operation frequency between 200Mbps and 4Gbps. Average delay step of 2-step DPC is 10ps. Designed CDR circuit was tested with 0.18um CMOS process.

Extended Fuzzy DEA

  • Guo, Peijun;Tanaka, Hideo
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.517-521
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    • 1998
  • DEA(data envelopment analysis) is a non-parametric technique for measuring and evaluating the relative efficiencies of a set of entities with common crisp inputs and outputs. In fact, in a real evaluation problem input and output data of entities often flucturate. These fluctuating data can be represented as linguistic variables characterized by fuzzy numbers. Based on a fundamental CCR model, a fuzzy DEA model is proposed to deal with fuzzy input and output data, Furthermore, a model that extends a fuzzy DEA to a more general case is also proposed with considering the relation between DEA and RA (regression analysis) . the crisp efficiency in CCR modelis extended to an L-R fuzzy number in fuzzy DEA problems to reflect some uncertainty in real evaluation problems.

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Associative Memory Model for Time Series Data (시계열정보 처리를 위한 연상기억 모델)

  • 박철영
    • Journal of Korea Society of Industrial Information Systems
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    • v.6 no.3
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    • pp.29-34
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    • 2001
  • In this paper, a new associative memory system for analog time-sequential data processing is proposed. This system effectively associate time-sequential data using not only matching with present data but also matching with past data. Furthermore in order to improve error correction ability, weight varying in time domain is introduced in this system. The network is simulated with several periodic time-sequential input patterns including noise. The results show that the proposed system has ability to correct input errors. We expect that the proposed system may be applied for a real time processing of analog time-sequential information.

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Quantitative Reliability Assessment for Safety Critical System Software

  • Chung, Dae-Won
    • Journal of Electrical Engineering and Technology
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    • v.2 no.3
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    • pp.386-390
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    • 2007
  • At recent times, an essential issue in the replacement of the old analogue I&C to computer-based digital systems in nuclear power plants becomes the quantitative software reliability assessment. Software reliability models have been successfully applied to many industrial applications, but have the unfortunate drawback of requiring data from which one can formulate a model. Software that is developed for safety critical applications is frequently unable to produce such data for at least two reasons. First, the software is frequently one-of-a-kind, and second, it rarely fails. Safety critical software is normally expected to pass every unit test producing precious little failure data. The basic premise of the rare events approach is that well-tested software does not fail under normal routine and input signals, which means that failures must be triggered by unusual input data and computer states. The failure data found under the reasonable testing cases and testing time for these conditions should be considered for the quantitative reliability assessment. We presented the quantitative reliability assessment methodology of safety critical software for rare failure cases in this paper.

The Implementation of Communication Unit for KOMPSAT-II

  • Lee Sang-Taek;Lee Jong-Tae;Lee Sang-Gyu;Youn Heong-Sik
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.457-459
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    • 2004
  • The Channel Coding Unit (CCU) is an integral component of Payload Data Transmission System (PDTS) for the Multi-Spectral Camera (MSC) data. The main function of the CCU is channel coding and encryption. CCU has two channels (I & Q) for data processing. The input of CCU is the output of DCSU (Data Compression & Storage Unit). The output of CCU is the input of QTX which modulate data for RF communication. In this paper, there are the overview, short H/W description and operation concept of CCU.

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