scholarly journals An Optimal Algorithm for Reducing Edge-Solvable Mutual Exclusion Graphs

1994 ◽  
Vol 37 (2) ◽  
pp. 129-138
Author(s):  
K.- B. Yue ◽  
R. T. Jacob
Keyword(s):  
Optimal Algorithm ◽  
Mutual Exclusion

An optimal algorithm for mutual exclusion in computer networks

1981 ◽  
Vol 24 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Glenn Ricart ◽  
Ashok K. Agrawala
Keyword(s):  
Computer Networks ◽  
Optimal Algorithm ◽  
Mutual Exclusion

Proposal and Evaluation of Mutual Exclusion Method using Lock-free Algorism for Embedded Systems using Multi-core Processor

2019 ◽  
Vol 139 (7) ◽  
pp. 802-811
Author(s):  
Kenta Fujimoto ◽  
Shingo Oidate ◽  
Yuhei Yabuta ◽  
Atsuyuki Takahashi ◽  
Takuya Yamasaki ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Mutual Exclusion ◽  
Exclusion Method ◽  
Multi Core Processor

DEVELOPMENT OF A DEVICE FOR CONTROL OF THE STATE OF THE ORGANISM BASED ON PHOTOPLETISMOGRAPHY USING TECHNOLOGIES OF DIGITAL ADAPTIVE FILTRATION

2020 ◽  
pp. 100-107
Author(s):  
Алексей Дмитриевич Акишин ◽  
Иван Павлович Семчук ◽  
Александр Петрович Николаев
Keyword(s):  
Heart Rate ◽  
Cardiovascular System ◽  
Adaptive Filtering ◽  
Least Squares Method ◽  
Optimal Algorithm ◽  
Heart Diseases ◽  
Cardiac Activity ◽  
Motion Artifacts ◽  
The Body ◽  
Advantages And Disadvantages

Постоянно растущий интерес к разработке новых неинвазивных и безманжетных методов измерения параметров сердечной деятельности, использование которых давало бы возможность непрерывного и удаленного контроля сердечно-сосудистой системы, обуславливает актуальность данной работы. В многочисленных публикациях продолжаются обсуждения преимуществ и недостатков различных методов ранней диагностики сердечно-сосудистых заболеваний. Однако артефакты движения являются сильной помехой, мешающей точной оценке показателей функционирования сердечно-сосудистой системы. Одним из перспективных методов контроля является метод оценки физиологических параметров с использованием фотоплетизмографии. Данная статья посвящена разработке устройства для фотоплетизмографических исследований и алгоритмических методов обработки регистрируемых сигналов для обеспечения мониторинга сердечного ритма с заданной точностью. В работе используются технологии цифровой адаптивной фильтрации полученных сигналов для мониторинга сердечного ритма в условиях внешних механических и электрических помеховых воздействий, ухудшающих точностные характеристики системы, а также разработана архитектура системы и изготовлен макет устройства, который позволил провести измерения для определения оптимального алгоритма цифровой обработки сигналов. При использовании устройства применялись методы адаптивной фильтрации на основе фильтров Винера, фильтров на основе метода наименьших квадратов и Калмановской фильтрации. Разработанное устройство для фотоплетизмографических исследований обеспечило возможность мониторинга сердечного ритма с заданной точностью, контроля текущего состояния организма и может быть использовано в качестве средства диагностики заболеваний сердца The constantly growing interest in the development of new non-invasive and cuff-free methods for measuring the parameters of cardiac activity, the use of which would give the possibility of continuous and remote monitoring of the cardiovascular system, determines the relevance of this work. Numerous publications continue to discuss the advantages and disadvantages of various methods of early diagnosis of cardiovascular disease. However, motion artifacts are a strong hindrance to the accurate assessment of the performance of the cardiovascular system. One of the promising control methods is the method for assessing physiological parameters using photoplethysmography. This article is devoted to the development of a device for photoplethysmographic studies and algorithmic methods for processing recorded signals to ensure monitoring of the heart rate with a given accuracy. The work uses technologies of digital adaptive filtering of the received signals to monitor the heart rate in conditions of external mechanical and electrical interference, which worsen the accuracy characteristics of the system, as well as the architecture of the system and a prototype of the device, which made it possible to carry out measurements to determine the optimal algorithm for digital signal processing. When using the device, the methods of adaptive filtering based on Wiener filters, filters based on the least squares method and Kalman filtering were used. The developed device for photoplethysmographic studies provided the ability to monitor the heart rate with a given accuracy, control the current state of the body and can be used as a means of diagnosing heart diseases

1/(1-1/k)-Optimal Algorithm for Regular Expression Grouping

2012 ◽  
Vol 23 (9) ◽  
pp. 2261-2272 ◽  
Author(s):  
Ting-Wen LIU ◽  
Yong SUN ◽  
Dong-Bo BU ◽  
Li GUO ◽  
Bin-Xing FANG
Keyword(s):  
Regular Expression ◽  
Optimal Algorithm

Distributed Multicast Routing Optimal Algorithm in Sensor Networks

2014 ◽  
Vol 35 (10) ◽  
pp. 2328-2334
Author(s):  
Jun Liu ◽  
Liang-lun Cheng ◽  
Jian-hua Wang
Keyword(s):  
Sensor Networks ◽  
Multicast Routing ◽  
Optimal Algorithm

Competitive growth of blue-greens and diatoms (fragilaria) in the saidenbach reservoir, saxony

1995 ◽  
Vol 32 (4) ◽  
pp. 77-88 ◽  
Author(s):  
H. Horn ◽  
D. Uhlmann
Keyword(s):  
Turbulent Mixing ◽  
Concentration Level ◽  
Mutual Exclusion ◽  
Late Summer ◽  
Meteorological Conditions ◽  
Competitive Growth ◽  
Absolute Concentration ◽  
Resource Concentration ◽  
High Yields ◽  
Simultaneous Growth

Since 1975, different patterns of the growth of Fragilaria and Cyanobacteria in the mid or late summer have been observed in the Saidenbach Reservoir. In most of the years, there was a mutual exclusion of mass growths of these two groups. High yields of Fragilaria caused low yields of blue-greens and vice versa. In the first years, Fragilaria was always the first to achieve a mass growth, followed by the Cyanobacteria. Then, in the last years, the blue-greens were succeeded by Fragilaria. Only in some years, there was a large and simultaneous growth of both groups. It has been shown, that the supply of silicon and phosphorus immediately before controlled the pattern of succession in the midsummer period. Mostly, the Si:P ratio was the regulating factor, but there were also years in which the absolute concentration level of these two nutrients were either non-limiting high or below the minimum resource concentration necessary to compensate for the losses. In these cases, the Si:P ratio lost its controlling function. Other influencing factors are discussed, in particular the effect of turbulent mixing. The special nutrient conditions in the midsummer were not only determined by the external load but also by the Si depletion during the spring mass development of diatoms other than Fragilaria, which mostly is physically controlled. Therefore, the succession pattern in the midsummer is sensitive to the meteorological conditions to a large extent.

An Optimal Algorithm for Online Non-Convex Learning

2019 ◽  
Vol 46 (1) ◽  
pp. 41-43
Author(s):  
Lin Yang ◽  
Lei Deng ◽  
Mohammad H. Hajiesmaili ◽  
Cheng Tan ◽  
Wing Shing Wong
Keyword(s):  
Optimal Algorithm
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