Scheduling for Multi-core Processor under Process and Temperature Variation

Structural studies of cyclohexane C6D12 by neutron diffraction III. Temperature variation measurements for the liquid and plastic crystal phases

Molecular Physics ◽

10.1080/00268979650027108 ◽

1996 ◽

Vol 87 (5) ◽

pp. 1217-1233 ◽

Cited By ~ 1

Author(s):

H. FARMAN

Keyword(s):

Neutron Diffraction ◽

Temperature Variation ◽

Plastic Crystal ◽

Structural Studies ◽

Crystal Phases

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Temperature Variation Effects on The Stochastic Performance of Smartphones Sensors Using Allan Variance and Generalized Method of Wavelet Moments

Proceedings of the 2017 International Technical Meeting of The Institute of Navigation ◽

10.33012/2017.14883 ◽

2017 ◽

Cited By ~ 3

Author(s):

Ahmed Radi ◽

You Li ◽

Naser El-Sheimy

Keyword(s):

Temperature Variation ◽

Allan Variance

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

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.139.802 ◽

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

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Extension of Mathematical Models Taking Temperature Variation in Permanent Magnet Synchronous Motors into Consideration

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.136.263 ◽

2016 ◽

Vol 136 (4) ◽

pp. 263-269

Author(s):

Junnosuke Nakatsugawa ◽

Yoshitaka Iwaji ◽

Yuji Enomoto

Keyword(s):

Mathematical Models ◽

Permanent Magnet ◽

Temperature Variation ◽

Permanent Magnet Synchronous Motors ◽

Synchronous Motors

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Simulation of the internal temperature in the Passol Laboratory, University of Debrecen

International Review of Applied Sciences and Engineering ◽

10.1556/irase.3.2012.1.08 ◽

2012 ◽

Vol 3 (1) ◽

pp. 63-73 ◽

Cited By ~ 4

Author(s):

I. Csáky ◽

F. Kalmár

Keyword(s):

Temperature Variation ◽

Air Temperature ◽

Indoor Air ◽

Storage Capacity ◽

Building Structures ◽

Internal Temperature ◽

The One ◽

Heavy Structure ◽

East West ◽

Made In

Abstract Nowadays the facades of newly built buildings have significant glazed surfaces. The solar gains in these buildings can produce discomfort caused by direct solar radiation on the one hand and by the higher indoor air temperature on the other hand. The amplitude of the indoor air temperature variation depends on the glazed area, orientation of the facade and heat storage capacity of the building. This paper presents the results of a simulation, which were made in the Passol Laboratory of University of Debrecen in order to define the internal temperature variation. The simulation proved that the highest amplitudes of the internal temperature are obtained for East orientation of the facade. The upper acceptable limit of the internal air temperature is exceeded for each analyzed orientation: North, South, East, West. Comparing different building structures, according to the obtained results, in case of the heavy structure more cooling hours are obtained, but the energy consumption for cooling is lower.

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