• Title/Summary/Keyword: sequence of sets

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A Study on the fault Detection using output Sequence in Combinational Logic Networks (출력순자를 이용한 조합회로의 고장검출에 관한 연구)

  • Han, Hee;Park, Kue-Tae
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.17 no.4
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    • pp.31-37
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    • 1980
  • In this paper, we are concerned with the problems of fault- detection for combinational logic networks. The method which we can obtain the complete test sets using propagation of primitive test sets is presented by considering the relation between test sets of each line. A new method is proposed that can detect the fault through the observation of the output variance by applying only the test sets equivalent to the number of inputs We found that the method is much improved compared to the conventional fault detecting procedure that requires applying the complete test sets to the logic networks.

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ON MARCINKIEWICZ'S TYPE LAW FOR FUZZY RANDOM SETS

  • Kwon, Joong-Sung;Shim, Hong-Tae
    • Journal of applied mathematics & informatics
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    • v.32 no.1_2
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    • pp.55-60
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    • 2014
  • In this paper, we will obtain Marcinkiewicz's type limit laws for fuzzy random sets as follows : Let {$X_n{\mid}n{\geq}1$} be a sequence of independent identically distributed fuzzy random sets and $E{\parallel}X_i{\parallel}^r_{{\rho_p}}$ < ${\infty}$ with $1{\leq}r{\leq}2$. Then the following are equivalent: $S_n/n^{\frac{1}{r}}{\rightarrow}{\tilde{0}}$ a.s. in the metric ${\rho}_p$ if and only if $S_n/n^{\frac{1}{r}}{\rightarrow}{\tilde{0}}$ in probability in the metric ${\rho}_p$ if and only if $S_n/n^{\frac{1}{r}}{\rightarrow}{\tilde{0}}$ in $L_1$ if and only if $S_n/n^{\frac{1}{r}}{\rightarrow}{\tilde{0}}$ in $L_r$ where $S_n={\Sigma}^n_{i=1}\;X_i$.

Characterization of the Nucleotide Sequence of a Polyubiquitin Gene (PUBC1) from Arabian Camel, Camelus dromedarius

  • Al-Khedhairy, Abdulaziz Ali A.
    • BMB Reports
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    • v.37 no.2
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    • pp.144-147
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    • 2004
  • Molecular amplification and sequencing of genomic DNA that encodes camel polyubiquitin (PUBC1) was performed by a polymerase chain reaction (PCR) using various sets of primers. The amplification generated a number of DNA fragments, which were sequenced and compared with the polyubiquitin coding sequences of various species. One DNA fragment that conformed to 325 bp was found to be 95 and 88% homologous to the sequences of human polyubiquitin B and C, respectively. The DNA translated into 108 amino acids that corresponded to two fused units of ubiquitin with no intervening sequence, which indicates that it is a polyubiquitin and contains at least two units of ubiquitin. Although, variations were found in the nucleotide sequence when compared to those of other species, the amino acid sequence was 100% homologous to the polyubiquitin sequences of humans, mice, and rats. This is the first report of the polyubiquitin DNA coding sequence and its corresponding amino acid sequence from camels, amplified using direct genomic DNA preparations.

AGV Navigation Using a Space and Time Sensor Fusion of an Active Camera

  • Jin, Tae-Seok;Lee, Bong-Ki;Lee, Jang-Myung
    • Journal of Navigation and Port Research
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    • v.27 no.3
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    • pp.273-282
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    • 2003
  • This paper proposes a sensor-fusion technique where rho data sets for the previous moments are properly transformed and fused into the current data sets to enable accurate measurement, such as, distance to an obstacle and location of the service robot itself. In the conventional fusion schemes, the measurement is dependent only on the current data sets. As the results, more of sensors are required to measure a certain physical promoter or to improve the accuracy of the measurement. However, in this approach, intend of adding more sensors to the system, the temporal sequence of the data sets are stored and utilized for the measurement improvement. Theoretical basis is illustrated by examples md the effectiveness is proved through the simulation. Finally, the new space and time sensor fusion (STSF) scheme is applied to the control of a mobile robot in the indoor environment and the performance was demonstrated by the real experiments.

A Study on Mobile Robot Navigation Using a New Sensor Fusion

  • Tack, Han-Ho;Jin, Tae-Seok;Lee, Sang-Bae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.471-475
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    • 2003
  • This paper proposes a sensor-fusion technique where the data sets for the previous moments are properly transformed and fused into the current data sets to enable accurate measurement, such as, distance to an obstacle and location of the service robot itself. In the conventional fusion schemes, the measurement is dependent on the current data sets. As the results, more of sensors are required to measure a certain physical parameter or to improve the accuracy of the measurement. However, in this approach, instead of adding more sensors to the system, the temporal sequence of the data sets are stored and utilized for the measurement improvement. Theoretical basis is illustrated by examples and the effectiveness is proved through the simulations. Finally, the new space and time sensor fusion (STSF) scheme is applied to the control of a mobile robot in an unstructured environment as well as structured environment.

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Control of the Mobile Robot Navigation Using a New Time Sensor Fusion

  • Tack, Han-Ho;Kim, Chang-Geun;Kim, Myeong-Kyu
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.1
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    • pp.23-28
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    • 2004
  • This paper proposes a sensor-fusion technique where the data sets for the previous moments are properly transformed and fused into the current data sets to enable accurate measurement, such as, distance to an obstacle and location of the service robot itself. In the conventional fusion schemes, the measurement is dependent on the current data sets. As the results, more of sensors are required to measure a certain physical parameter or to improve the accuracy of the measurement. However, in this approach, instead of adding more sensors to the system, the temporal sequence of the data sets are stored and utilized for the measurement improvement. Theoretical basis is illustrated by examples and the effectiveness is proved through the simulations. Finally, the new space and time sensor fusion(STSF) scheme is applied to the control of a mobile robot in an unstructured environment as well as structured environment.

On the Conditon of Tightness for Fuzzy Random Variables

  • Joo, Sang-Yeol
    • Proceedings of the Korean Reliability Society Conference
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    • 2002.06a
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    • pp.303-303
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    • 2002
  • We obtain the necessary and sufficient condition of tightness for a sequence of random variables in the space of fuzzy sets with compact support in R.

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A Study on Indoor Mobile Robot Navigation Used Space and Time Sensor Fusion

  • Jin, Tae-Seok;Ko, Jae-Pyung;Lee, Jang-Myung
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.104.2-104
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    • 2002
  • This paper proposes a sensor-fusion technique where the data sets for the previous moments are properly transformed and fused into the current data sets to enable accurate measurement, such as, distance to an obstacle and location of the service robot itself. In the conventional fusion schemes, the measurement is dependent on the current data sets. As the results, more of sensors are required to measure a certain physical parameter or to improve the accuracy of the measurement. However, in this approach, instead of adding more sensors to the system , the temporal sequence of the data sets are stored and utilized for the measurement improvement. Theoretical basis is il lustrated by examples and...

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HPV-type Prediction System using SVM and Partial Sequential Pattern (분할 순차 패턴과 SVM을 이용한 HPV 타입 예측 시스템)

  • Kim, Jinsu
    • Journal of Digital Convergence
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    • v.12 no.12
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    • pp.365-370
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    • 2014
  • The existing system consumes a considerable amount time and cost for extracting the patterns from whole sequences or misaligned sequences. In this paper, We propose the classification system, which creates the partition sequence sections using multiple sequence alignment method and extracts the sequential patterns from these section. These extracted patterns are accumulated motif candidate sets and then used the training sets of SVM classifier. This proposed system predicts a HPV-type(high/low) using the learned knowledges from known/unknown protein sequences and shows more improved precision, recall than previous system in 30% minimum support.

SOME CONSTRUCTION OF ALL LEVEL ARTINIAN O-SEQUENCES OF SOCLE DECREE 5 AND TYPE 3

  • Shin, Dong-Soo;Shin, Yong-Su
    • Journal of applied mathematics & informatics
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    • v.11 no.1_2
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    • pp.317-326
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    • 2003
  • We classify all possible level Artinian O-sequences of socle degree 5 and type 3. Moreover, we show how to construct level Artinian algebras with those Hilbert functions using the sum of two ideals of finite sets of points in $P^2$ such that the ideal of the union of two sets is level.