• 제목/요약/키워드: Cycle detection

검색결과 434건 처리시간 0.032초

Development of efficient detection methods of CDK2 (or 4) activities for mass screening

  • Jeon, Yong-Jin;Yeon, Seung-Woo;Kim, Tae-Yong
    • 대한약학회:학술대회논문집
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    • 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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    • pp.154.2-154.2
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    • 2003
  • Mammalian cell cycles are tightly regulated by cyclins, cyclin dependent kinase (CDK), Retinoblatoma (Rb) protein, and cellular CDK inhibitors (CDKI). Cyelin dependent kinases (CDK) are key enzymes regulating eukaryotic cell cycle. And also it is recognized that the abnormal increase of CDK activities is one of the common events in human cancer and CDK inhibitors have therapeutic values in cancer treatment. Until now it is known that over 10 different CKDs participate in cell cycle regulation. (omitted)

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배열을 이용한 이산대수의 사이클 검출 (Cycle Detection of Discrete Logarithm using an Array)

  • 이상운
    • 한국인터넷방송통신학회논문지
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    • 제23권5호
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    • pp.15-20
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    • 2023
  • 지금까지는 Pollard의 Rho 알고리즘이 대칭키의 암호를 해독하는 이산대수 문제에 대해 가장 효율적인 방법으로 알려져 있다. 그러나 이 알고리즘은 거인걸음 보폭 m=⌈${\sqrt{p}}$⌉개의 데이터를 저장해야 하는 단점과 더불어 O(${\sqrt{p}}$) 수행 복잡도를 보다 감소시킬 수 있는 방법에 대한 연구가 진행되고 있다. 본 논문은 이산대수의 사이클 검출을 위한 Nivasch의 스택 법의 데이터 갱신 횟수를 73% 이상 감소시키는 배열법을 제안하였다. 제안된 방법은 배열을 적용하였으며, (xi<0.5xi-1)∩(xi<0.5(p-1))인 경우에 한해 배열 값을 갱신하는 방법을 적용하였다. 제안된 방법은 스택법과 동일한 모듈러 연산횟수를 보였지만 스택 법에 비해 이진탐색 법을 적용하여 배열 갱신 횟수와 탐색 시간을 획기적으로 감소시켰다.

실시간 분산 시스템에서 heartbeat 시그널을 이용한 장애 검출 (Fault detection using heartbeat signal in the real-time distributed systems)

  • 문원식
    • 디지털산업정보학회논문지
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    • 제14권3호
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    • pp.39-44
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    • 2018
  • Communication in real-time distributed system should have high reliability. To develop group communication Protocol with high reliability, potential fault should be known and when fault occurs, it should be detected and a necessary action should be taken. Existing detection method by Ack and Time-out is not proper for real time system due to load to Ack which is not received. Therefore, group communication messages from real-time distributed processing systems should be communicated to all receiving processors or ignored by the message itself. This paper can make be sure of transmission of reliable message and deadline by suggesting and experimenting fault detection technique applicable in the real time distributed system based on ring, and analyzing its results. The experiment showed that the shorter the cycle of the heartbeat signal, the shorter the time to propagate the fault detection, which is the time for other nodes to detect the failure of the node.

Deadlock 검출을 위한 분산알고리즘 (A Distributed Algorithm for Deadlock Detection)

  • 원종권;류근호;박규태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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    • pp.1153-1156
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    • 1987
  • This paper presents a distributed algorithm for deadlock detection in distributed computing system. The deadlock could be detected optimally from cycle. This algorithm maintains the Process-Resource Table and it could be found the deadlock from the table.

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Supervised classification for greenhouse detection by using sharpened SWIR bands of Sentinel-2A satellite imagery

  • Lim, Heechang;Park, Honglyun
    • 한국측량학회지
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    • 제38권5호
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    • pp.435-441
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    • 2020
  • Sentinel-2A satellite imagery provides VNIR (Visible Near InfraRed) and SWIR (ShortWave InfraRed) wavelength bands, and it is known to be effective for land cover classification, cloud detection, and environmental monitoring. Greenhouse is one of the middle classification classes for land cover map provided by the Ministry of Environment of the Republic of Korea. Since greenhouse is a class that has a lot of changes due to natural disasters such as storm and flood damage, there is a limit to updating the greenhouse at a rapid cycle in the land cover map. In the present study, we utilized Sentinel-2A satellite images that provide both VNIR and SWIR bands for the detection of greenhouse. To utilize Sentinel-2A satellite images for the detection of greenhouse, we produced high-resolution SWIR bands applying to the fusion technique performed in two stages and carried out the detection of greenhouse using SVM (Support Vector Machine) supervised classification technique. In order to analyze the applicability of SWIR bands to greenhouse detection, comparative evaluation was performed using the detection results applying only VNIR bands. As a results of quantitative and qualitative evaluation, the result of detection by additionally applying SWIR bands was found to be superior to the result of applying only VNIR bands.

한국산 수소생산 남세균 종주들의 세포주기 동조화 (Synchronization of Cell Cycle in Korean Hydrogen Producing Cyanobacterial Strains)

  • 박종우;안세희;김형섭;이원호
    • 한국수소및신에너지학회논문집
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    • 제22권5호
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    • pp.663-670
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    • 2011
  • Under a daily photoperiod of 14h light and 10h dark synchronization of cell cycle in Korean Cyanothece spp. strains and $Synechococcus$ sp. strain Miami BG043511 was analyzed as to be applicable to enhanced hydrogen production. For all strains peaks of double cell were observed during the light period of a daily cycle. Peaks of maximal cell size measured by a coulter counter appeared at the peak of double cells observed under light microscope reconfirming the synchronization of daily cell cycle. The cell cycle synchronization became weakened within two days when treated with continuous illumination. Rapid detection of the peak time of double cell percentage by coulter counters may contribute to quasi-realtime feedback control for efficient production of photobiological hydrogen by unicellular cyanobacterial strains.

An Artificial Neural Networks Application for the Automatic Detection of Severity of Stator Inter Coil Fault in Three Phase Induction Motor

  • Rajamany, Gayatridevi;Srinivasan, Sekar
    • Journal of Electrical Engineering and Technology
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    • 제12권6호
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    • pp.2219-2226
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    • 2017
  • This paper deals with artificial neural network approach for automatic detection of severity level of stator winding fault in induction motor. The problem is faced through modelling and simulation of induction motor with inter coil shorting in stator winding. The sum of the absolute values of difference in the peak values of phase currents from each half cycle has been chosen as the main input to the classifier. Sample values from workspace of Simulink model, which are verified with experiment setup practically, have been imported to neural network architecture. Consideration of a single input extracted from time domain simplifies and advances the fault detection technique. The output of the feed forward back propagation neural network classifies the short circuit fault level of the stator winding.

An improved cross-correlation method based on wavelet transform and energy feature extraction for pipeline leak detection

  • Li, Suzhen;Wang, Xinxin;Zhao, Ming
    • Smart Structures and Systems
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    • 제16권1호
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    • pp.213-222
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    • 2015
  • Early detection and precise location of leakage is of great importance for life-cycle maintenance and management of municipal pipeline system. In the past few years, acoustic emission (AE) techniques have demonstrated to be an excellent tool for on-line leakage detection. Regarding the multi-mode and frequency dispersion characteristics of AE signals propagating along a pipeline, the direct cross-correlation technique that assumes the constant AE propagation velocity does not perform well in practice for acoustic leak location. This paper presents an improved cross-correlation method based on wavelet transform, with due consideration of the frequency dispersion characteristics of AE wave and the contribution of different mode. Laboratory experiments conducted to simulate pipeline gas leakage and investigate the frequency spectrum signatures of AE leak signals. By comparing with the other methods for leak location identification, the feasibility and superiority of the proposed method are verified.

유도탄 점검주기 설정을 위한 고장 탐지율 산출 방안 및 적용 사례 (A Method of Failure Detection Rate Calculation for Setting up of Guided Missile Periodic Test and Application Case)

  • 최인덕
    • 산업경영시스템학회지
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    • 제42권2호
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    • pp.28-35
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    • 2019
  • Since guided missiles with the characteristics of the one-shot system remain stored throughout their entire life cycle, it is important to maintain their storage reliability until the launch. As part of maintaining storage reliability, period of preventive test is set up to perform preventive periodic test, in this case failure detection rate has a great effect on setting up period of preventive test to maintain storage reliability. The proposed method utilizes failure rate predicted by the software on the basis of MIL-HDBK-217F and failure mode analyzed through FMEA (Failure Mode and Effect Analysis) using data generated from the actual field. The failure detection rate of using the proposed method is applied to set periodic test of the actual guided missile. The proposed method in this paper has advantages in accuracy and objectivity because it utilizes a large amount of data generated in the actual field.