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An Abstraction Method for State Minimization based on Syntactic and Semantic Patterns in the Execution Space of Real-Time Systems (실시간 시스템의 실행 공간상에서 구문 및 의미패턴에 기반한 상태 최소화를 위한 추상화 방법)

  • 박지연;조기환;이문근
    • Journal of KIISE:Software and Applications
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    • v.30 no.1_2
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    • pp.103-116
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    • 2003
  • States explosion due to composition of spaces of data, temporal, and locational values is one of the well-known critical problems which cause difficulty in understanding and analysing real-time systems specified with state-based formal methods. In order to overcome this problem, this paper presents an abstraction method for state minimization based on an abstraction in system specification and an abstraction in system execution. The first is named the syntactic in system specification and an abstraction in system execution. The first is named the syntactic abstraction, through which the patterns of the unconditionally internalized computation and the repetition and selection structures are abstracted. The latter is named the semantic abstraction, through which the patterns of the execution space represented with data. Through the abstractions, the components of a system in specification and execution model is hierarchically organized. The system can be analyzed briefly in the upper level in an skeleton manner with low complexity. The system, however, can be abstraction method for the state minimization and the decrease in analysis complexity through the abstraction with examples.

The research on the disease classifications of the traditional medicine in China, Japan, Taiwan, and North Korea (중국, 대만, 일본, 북한의 전통의학 질병분류 체계에 대한 연구)

  • Choi, Sun-Mi;Shin, Min-Kyoo;Shin, Hyeun-Kyu
    • Korean Journal of Oriental Medicine
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    • v.5 no.1
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    • pp.81-100
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    • 1999
  • The result from the research on the disease classifications of the traditional medicine in China, Japan, Taiwan, and North Korea are followings: 1. It is remarkable that China has two different classifications. One is of the diseases named by western medicine and the other is of the syndromes compounded with parts, characters, and pathology of the diseases. The Traditional Chinese Medicine has 615 codes for diseases in 7 departments, and 1684 codes for syndromes. It seems that they have tried to match each disease named by the traditional chinese medicine to each one named by western medicine. But, they have left the diseases impossible to be equivalent to the ones in western medicine themselves and used the same codes of western medicine when the diseases are the same ones in western medicine. 2. In Taiwan, they try to connect the diseases named by the traditional medicine to the ones named by western medicine based on ICD-9. But, they did not attempt to classify the diseases of the traditional medicine by its own ways. The names of diseases in Taiwan medicine include both diseases and syndromes. It is limited to name syndromes by the traditional medicine. And, Taiwan medicine follows ICD in naming injuries. 3. Japan has not got the disease classification for the causes of death, but only the Japanese disease classification for the causes of death, a translation 'The international disease classification for the causes of death. Therefore, The diseases named by traditional medicines are excluded in the public medicine by some Japanese medicines which diagnose through the western medicine and treat by Wa Kang medicine. 4. I can't find out the data over the disease classification for the causes of death by traditional medicine in North Korea. Instead, I can refer to case histories in which differentiation of symptoms and signs and points about them by traditional medicine and the final diagnoses and report about examination by the western medicine has been recorded. In conclusion, It is a distinctive feature that they connect the diseases and the syndromes by the traditional medicine to the ones by the western medicine, and don't tell the diseases from the syndromes.

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Periodization in the History of Statistics

  • Jo, Jae-Keun
    • Communications for Statistical Applications and Methods
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    • v.11 no.1
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    • pp.31-47
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    • 2004
  • The history of statistics from the mid-seventeenth to the early twentieth century is considered and a scheme of periodization is proposed. In the first period(1650-1750), named 'the age of probability' in this paper, concept of probability emerged, and in the second period(1750-1820), named 'the age of error theory', statistical techniques such as the least square method are developed by astronomers and geodesists. Their techniques are supported theoretically by mathematicians like Laplace and Gauss in that period. The third period(1820-1880) is called 'the age of statistics(as a plural noun)' since statistical data played prominent roles in social sciences such as sociology, psychology. Finally the last period(1880- ), called 'the age of statistics(as a singular noun)', the discipline of statistics came to maturity both in theory and application.

RAINFALL FROM TRMM-RADAR AND RADIOMETER

  • Park, K.W.;Kim, Y.S.;Gairola, R.M.;Kwon, B.H.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.528-530
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    • 2003
  • We present here, some of the studies carried for estimation of rainfall over land and oceanic regions in and around South Korea. We use active and passive microwave measurements from TRMM ? TMI and Precipitation Radar (PR) respectively during a typhoon even named ? RUSA that took place during 30 Aug. 2002. We have followed due approach by Yao at. all (2002) and examined the performance of their algorithm using two main predictor variable, named as Scattering Index (SI) and Polarization Corrected Brightness Temperature (PCT) while using TMI data. The rainfall fnus estimated using PST and SI shows some Underestimation as compared to the 2A25 rainfall products from the PR in common area of overlap. A larger database thus would be used in future. To establish a new rain rate algorithm over Korean region based on the present case study.

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ESTIMATION RAIN RATE FROM MICROWAVE RADIOMETER

  • Park K. W.;Kim Y. S.
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.201-203
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    • 2004
  • We present here, some of the studies carried for estimation of rainfall over land and oceanic regions in and around South Korea. We use active and passive microwave measurements from TRMM - TMI and Precipitation Radar (PR) respectively during a typhoon even named - RUSA that took place during 30 Aug. 2002. We have followed due approach by Yao at. all (2002) and examined the performance of their algorithm using two main predictor variable, named as Scattering Index (SI) and Polarization Corrected Brightness Temperature (PCT) while using TMI data. The rainfall rate estimated using PCT and SI shows some under-estimation as compared to the AWS rainfall products from the PR in common area of overlap. A larger database thus would be used in future. To establish a new rain rate algorithm over Korean region based on the present case study.

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Education System to Learn the Skills of Management Decision-Making by Using Business Simulator with Speech Recognition Technology

  • Sakata, Daiki;Akiyama, Yusuke;Kaneko, Masaaki;Kumagai, Satoshi
    • Industrial Engineering and Management Systems
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    • v.13 no.3
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    • pp.267-277
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    • 2014
  • In this paper, we propose an educational system that involves a business game simulator and related curriculum. To develop these two elements, we examined the decision-making process related to business management and identified some significant skills thereby. In addition, we created an original simulator, named BizLator (http://bizlator.com), to help students develop these skills efficiently. Next, we developed a curriculum suitable for the simulator. We confirmed the effectiveness of the simulator and curriculum in a business-game-based class at Aoyama Gakuin University in Tokyo. On the basis of this, we compared our education system with a conventional system. This allowed us to identify advantages of and issues with our proposed system. Furthermore, we proposed a speech recognition support system named BizVoice in order to provide the teachers with more meaningful feedback, such as level of students' understanding. Concretely, BizVocie fetches students' speech of discussion during the game and converts the voice data to text data with speech recognition technology. Finally, teachers can grasp students' parameters of understanding, and thereby, the students also can take more effective class using BizLator. We also confirmed the effectiveness of the system in the class of Aoyama Gakuin Universiry.

Development and Application of Protein-Protein interaction Prediction System, PreDIN (Prediction-oriented Database of Interaction Network)

  • 서정근
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2002.06a
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    • pp.5-23
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    • 2002
  • Motivation: Protein-protein interaction plays a critical role in the biological processes. The identification of interacting proteins by bioinformatical methods can provide new lead In the functional studies of uncharacterized proteins without performing extensive experiments. Results: Protein-protein interactions are predicted by a computational algorithm based on the weighted scoring system for domain interactions between interacting protein pairs. Here we propose potential interaction domain (PID) pairs can be extracted from a data set of experimentally identified interacting protein pairs. where one protein contains a domain and its interacting protein contains the other. Every combinations of PID are summarized in a matrix table termed the PID matrix, and this matrix has proposed to be used for prediction of interactions. The database of interacting proteins (DIP) has used as a source of interacting protein pairs and InterPro, an integrated database of protein families, domains and functional sites, has used for defining domains in interacting pairs. A statistical scoring system. named "PID matrix score" has designed and applied as a measure of interaction probability between domains. Cross-validation has been performed with subsets of DIP data to evaluate the prediction accuracy of PID matrix. The prediction system gives about 50% of sensitivity and 98% of specificity, Based on the PID matrix, we develop a system providing several interaction information-finding services in the Internet. The system, named PreDIN (Prediction-oriented Database of Interaction Network) provides interacting domain finding services and interacting protein finding services. It is demonstrated that mapping of the genome-wide interaction network can be achieved by using the PreDIN system. This system can be also used as a new tool for functional prediction of unknown proteins.

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Design and Implementation of WISIS using XML based on J2ME (J2ME기반에서 XML을 이용한 유무선 연동 학생정보시스템(WISIS)의 설계 및 구현)

  • 김태남;고영남;이동명
    • Proceedings of the IEEK Conference
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    • 2001.06a
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    • pp.149-152
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    • 2001
  • In general, the wireless services based on markup language and provided with wired network requires dedicated gateway system. But in this case, the serious problems such as security vulnerabilities, damage of contents are occurred to the application. In this paper, to improve above problems, we designed and implemented the new application named "Interacted Wired St Wireless Student Information System" using J2ME(Java 2 Micro Edition) platform and XML(eXtensible Markup Language) to transmit user data safely and support the system extendibility maintaining data format consistency respectively.pectively.

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Design and Implementation of DMA priority section module (DMA Priority selection module 설계 및 구현)

  • Hwang, In-Ki
    • Proceedings of the KIEE Conference
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    • 2002.11c
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    • pp.264-267
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    • 2002
  • This paper proposed a effective priority selection algorithm named weighted round-robin algorithm and show the implementation result of DMAC priority selection module using prosed weighted round-robin algorithm. I parameterize timing constraints of each functional module, which decide the effectiveness of system. Proposed weighted round-robin algorithm decide the most effective module for data transmission using parameterize timing constraints and update timing parameter of each module for next transmission module selection. I implement DMAC priority selection module using this weighted round-robin algorithm and can improve the timing effective for data transmission from memory to functional module or one functional module to another functional module.

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Semisupervised support vector quantile regression

  • Seok, Kyungha
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.2
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    • pp.517-524
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    • 2015
  • Unlabeled examples are easier and less expensive to be obtained than labeled examples. In this paper semisupervised approach is used to utilize such examples in an effort to enhance the predictive performance of nonlinear quantile regression problems. We propose a semisupervised quantile regression method named semisupervised support vector quantile regression, which is based on support vector machine. A generalized approximate cross validation method is used to choose the hyper-parameters that affect the performance of estimator. The experimental results confirm the successful performance of the proposed S2SVQR.