• Title/Summary/Keyword: additional information

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INCORPORATING PRIOR BELIEF IN THE GENERAL PATH MODEL: A COMPARISON OF INFORMATION SOURCES

  • Coble, Jamie;Hines, J. W esley
    • Nuclear Engineering and Technology
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    • v.46 no.6
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    • pp.773-782
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    • 2014
  • The general path model (GPM) is one approach for performing degradation-based, or Type III, prognostics. The GPM fits a parametric function to the collected observations of a prognostic parameter and extrapolates the fit to a failure threshold. This approach has been successfully applied to a variety of systems when a sufficient number of prognostic parameter observations are available. However, the parametric fit can suffer significantly when few data are available or the data are very noisy. In these instances, it is beneficial to include additional information to influence the fit to conform to a prior belief about the evolution of system degradation. Bayesian statistical approaches have been proposed to include prior information in the form of distributions of expected model parameters. This requires a number of run-to-failure cases with tracked prognostic parameters; these data may not be readily available for many systems. Reliability information and stressor-based (Type I and Type II, respectively) prognostic estimates can provide the necessary prior belief for the GPM. This article presents the Bayesian updating framework to include prior information in the GPM and compares the efficacy of including different information sources on two data sets.

Practical Silicon-Surface-Protection Method using Metal Layer

  • Yi, Kyungsuk;Park, Minsu;Kim, Seungjoo
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.4
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    • pp.470-480
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    • 2016
  • The reversal of a silicon chip to find out its security structure is common and possible at the present time. Thanks to reversing, it is possible to use a probing attack to obtain useful information such as personal information or a cryptographic key. For this reason, security-related blocks such as DES (Data Encryption Standard), AES (Advanced Encryption Standard), and RSA (Rivest Shamir Adleman) engines should be located in the lower layer of the chip to guard against a probing attack; in this regard, the addition of a silicon-surface-protection layer onto the chip surface is a crucial protective measure. But, for manufacturers, the implementation of an additional silicon layer is burdensome, because the addition of just one layer to a chip significantly increases the overall production cost; furthermore, the chip size is increased due to the bulk of the secure logic part and routing area of the silicon protection layer. To resolve this issue, this paper proposes a practical silicon-surface-protection method using a metal layer that increases the security level of the chip while minimizing its size and cost. The proposed method uses a shift register for the alternation and variation of the metal-layer data, and the inter-connection area is removed to minimize the size and cost of the chip in a more extensive manner than related methods.

Feature Analysis for Seceders among New Students Passed the D University Entrance Examination

  • Choi, Seung-Bae;Kang, Chang-Wan;Cho, Jang-Sik
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1111-1122
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    • 2008
  • Recently, because of decreasing in population, most of local universities are competing to attract new students in the entrance examination. These situations cause that most of the examinee apply for several universities to matriculate in a university. So these problem may raise a serious trouble such as additional new students invited. Therefore, in this study, we consider a few statistical models by using data mining technique to understand the pattern of new students who discard registration(seceders) in spite of success in the D university entrance examination. To construct these models, we use entrance examination data of three years. On the basis for analysis results of entrance examination data, we look into the features for secession of new students who success in an university entrance examination. We provide a basic information to make a effective entrance plan for seceders in future. Also, we make a search for the trend based on three years by analyzing entrance examination data of 2006, 2007 and 2008 years.

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Question Recommendation for Knowledge Search System (지식 검색 시스템에 적용 가능한 추천 질의 시스템)

  • Ahn, Chan-Min;Choi, Bum-Ghi;Chun, Seok-Ju;Lee, Ju-Hong;Lee, Jung-Sik
    • Journal of The Korean Association of Information Education
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    • v.14 no.3
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    • pp.405-416
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    • 2010
  • Knowledge search system is to find the question-answer documents for user question. Even highly qualified question-answer documents could be far different from those that a user want to find. The reason for this failure is that user frequently fails to make user's question to express his/her intension precisely. In this paper, we show our newly developed knowledge search system that recommends additional question-answer documents to include the contents that user want to find with high probability.

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Intelligne information retrieval using latent semantic analysis on the internet (인터넷에서 잠재적 의미 분석을 이용한 지능적 정보 검색)

  • 임재현;김영찬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.8
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    • pp.1782-1789
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    • 1997
  • Most systems that retrieve distributed information on the Internet have difficulties in retrieving relevant information for they are not able to reflect exact semantics on retrieval queries that usersrequest. In this paepr, we propose an automatic query expansion based on ter distribution which reflects semantics of retrieval term to emhance the performance of information retrieval. We computed weight, indicating its overal imoritance in the collection documents and user's query and we use LSI's SVD technique to measure the term distribution which appears similar to query. And also, we measure the similarity to compared numerical value with query terms. Also we researched the method to reduce additional terms automatically and evaluated the performance of the proposed method.

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Three Phase Current Reconstruction Method of Three Shunt Sensing 3-Phase Inverter by Predictive Current Technique (예측 전류 기법을 적용한 3-션트 전류검출 3상 인버터의 전류 복원 방법)

  • Choo, Kyoung-Min;Hong, Sung-Woo;Jang, Young-Hee;Won, Il-Kuen;Kim, Do-Yun;Wo, Chung-Yuen
    • The Transactions of the Korean Institute of Power Electronics
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    • v.22 no.2
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    • pp.175-180
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    • 2017
  • The measurement of three-phase current is important to control the instantaneous torque of a interior permanent magnet synchronous motor(IPMSM) using a three-phase inverter. Therefore, shunt resistors are used in low-cost motor-driving systems to measure three-phase current instead of additional current sensors that are too expensive for these systems. However, in certain regions of a space vector plane, shunt resistors cannot reconstruct three-phase current in high-speed driving mode. In this paper, predictive current control is used to compensate for the three-phase current in those regions, which results in a reduction of current ripple in a three-shunt sensing inverter(TSSI) and torque ripple in IPMSM.

Dependences of die Power ratio on the properties in GZOB/Au multilayers (전력비 변화에 따른 Au Multilayer 위에 증착한 GZOB 박막의 특성)

  • Lee, Jong-Hwan;Lee, Kyu-Il;Kim, Bong-Suk;Lee, Tae-Yong;Kang, Hyun-Il;Song, Joon-Tae
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2007.11a
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    • pp.144-144
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    • 2007
  • Effects of power ratio on the electrical and optical properties of Au based Ga-, B- codoped ZnO(GZOB) thin films were investigated. GZOB thin films on Au based PC flexible substrate were deposited at various power in the range from 50 to 125 W by DC magnetron sputtering. Au layer was fabricated to achieve good electrical conductivity. The presence of additional boron impurity leads to improve structural defects. Thus, the c-axis orientation along (002) plane was enhanced with the increasing of power ratio and the surface morphology of the films showed a homogeneous and nano-sized microstructure. GZOB films grown at 125W were investigated a low resistivity value of $1{\times}10^{-3}{\Omega}cm$ and a visible transmission of 80% with a thickness of 300nm.

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Classification of Multi-sensor Remote Sensing Images Using Fuzzy Logic Fusion and Iterative Relaxation Labeling (퍼지 논리 융합과 반복적 Relaxation Labeling을 이용한 다중 센서 원격탐사 화상 분류)

  • Park No-Wook;Chi Kwang-Hoon;Kwon Byung-Doo
    • Korean Journal of Remote Sensing
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    • v.20 no.4
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    • pp.275-288
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    • 2004
  • This paper presents a fuzzy relaxation labeling approach incorporated to the fuzzy logic fusion scheme for the classification of multi-sensor remote sensing images. The fuzzy logic fusion and iterative relaxation labeling techniques are adopted to effectively integrate multi-sensor remote sensing images and to incorporate spatial neighboring information into spectral information for contextual classification, respectively. Especially, the iterative relaxation labeling approach can provide additional information that depicts spatial distributions of pixels updated by spatial information. Experimental results for supervised land-cover classification using optical and multi-frequency/polarization images indicate that the use of multi-sensor images and spatial information can improve the classification accuracy.

A Forecasting and Decision Model that Incorporates Accident Risks (사고 위험성을 고려한 운행중지 결정 모형)

  • Yang Hee-Joong;Lee Keun-Boo;Oh Se-Ho
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.27 no.4
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    • pp.1-6
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    • 2004
  • For a given plant design, improved decisions on when to shutdown an existing plant may be obtained by making better predictions of failure rates, by exerting efforts to collect more relevant information or by improving decision making models which put that information to best use. It is important that the models include the value of possible loss of lives and fear along with cleanup, decommissioning, relocation if the decisions derived from the model are to be useful. The decision model we have described enables us to investigate a class of optimal decisions on whether to shutdown or continue operating one period of time. The analysis and decision process is repeated at the end of each period with additional information about new costs and risks.

Numerical Algorithm to Link Meaning based on Mnemonic System in Mobile Environments (모바일 환경에서 기억법 기반 의미 연결 수치 알고리즘)

  • Kim, Boon-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.1
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    • pp.219-224
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    • 2019
  • Textbooks with a lot of numerical information, such as the year, need to apply the mnemonic system. The mnemonic-system in numbers are used in many ways, such as dots, lines, and bars, and information images serve as symbols to help memory. The memory structure of the brain is more efficient in providing more information than just numbers. Previous studies have suggested graphical or arrayed image algorithms for mobile environments. In this study, we would like to link additional information related to figures with original data by selecting a subject with a lot of numerical information. We propose unique processes in mobile environments and evaluate the numerical algorithms to link meaning.