scholarly journals Differential Temporal Dynamic Logic dTL

2010 ◽  
pp. 203-230
Author(s):  
André Platzer
Keyword(s):  
Dynamic Logic ◽  
Temporal Dynamic

Low Power Wide Fan-in Domino OR Gate Using CN-MOSFETs

2020 ◽  
Vol 10 (1) ◽  
pp. 55-62
Author(s):  
Deepika Bansal ◽  
Bal Chand Nagar ◽  
Brahamdeo Prasad Singh ◽  
Ajay Kumar
Keyword(s):  
Power Consumption ◽  
High Performance ◽  
Dynamic Logic ◽  
Clock Frequency ◽  
Charge Sharing ◽  
Benchmark Circuit ◽  
Domino Circuit ◽  
Power Delay Product ◽  
Domino Circuits ◽  
Or Gate

Background & Objective: In this paper, a modified pseudo domino configuration has been proposed to improve the leakage power consumption and Power Delay Product (PDP) of dynamic logic using Carbon Nanotube MOSFETs (CN-MOSFETs). The simulations for proposed and published domino circuits are verified by using Synopsys HSPICE simulator with 32nm CN-MOSFET technology which is provided by Stanford. Methods: The simulation results of the proposed technique are validated for improvement of wide fan-in domino OR gate as a benchmark circuit at 500 MHz clock frequency. Results: The proposed configuration is suitable for cascading of the high performance wide fan-in circuits without any charge sharing. Conclusion: The performance analysis of 8-input OR gate demonstrate that the proposed circuit provides lower static and dynamic power consumption up to 62 and 40% respectively, and PDP improvement is 60% as compared to standard domino circuit.

tdGraphEmbed: Temporal Dynamic Graph-Level Embedding

2020 ◽  
Author(s):  
Moran Beladev ◽  
Lior Rokach ◽  
Gilad Katz ◽  
Ido Guy ◽  
Kira Radinsky
Keyword(s):  
Dynamic Graph ◽  
Temporal Dynamic

scholarly journals Research on the Spatio-Temporal Dynamic Evolution Characteristics and Influencing Factors of Electrical Power Consumption in Three Urban Agglomerations of Yangtze River Economic Belt, China Based on DMSP/OLS Night Light Data

2021 ◽  
Vol 13 (6) ◽  
pp. 1150
Author(s):  
Yang Zhong ◽  
Aiwen Lin ◽  
Chiwei Xiao ◽  
Zhigao Zhou
Keyword(s):  
Influencing Factors ◽  
Yangtze River ◽  
Electrical Power ◽  
Random Forest Algorithm ◽  
Temporal Dynamic ◽  
Urban Agglomerations ◽  
Evolution Characteristics ◽  
Spatio Temporal ◽  
Electrical Power Consumption ◽  
Gwr Model

In this paper, based on electrical power consumption (EPC) data extracted from DMSP/OLS night light data, we select three national-level urban agglomerations in China’s Yangtze River Economic Belt(YREB), includes Yangtze River Delta urban agglomerations(YRDUA), urban agglomeration in the middle reaches of the Yangtze River(UAMRYR), and Chengdu-Chongqing urban agglomeration(CCUA) as the research objects. In addition, the coefficient of variation (CV), kernel density analysis, cold hot spot analysis, trend analysis, standard deviation ellipse and Moran’s I Index were used to analyze the Spatio-temporal Dynamic Evolution Characteristics of EPC in the three urban agglomerations of the YREB. In addition, we also use geographically weighted regression (GWR) model and random forest algorithm to analyze the influencing factors of EPC in the three major urban agglomerations in YREB. The results of this study show that from 1992 to 2013, the CV of the EPC in the three urban agglomerations of YREB has been declining at the overall level. At the same time, the highest EPC value is in YRDUA, followed by UAMRYR and CCUA. In addition, with the increase of time, the high-value areas of EPC hot spots are basically distributed in YRDUA. The standard deviation ellipses of the EPC of the three urban agglomerations of YREB clearly show the characteristics of “east-west” spatial distribution. With the increase of time, the correlations and the agglomeration of the EPC in the three urban agglomerations of the YREB were both become more and more obvious. In terms of influencing factor analysis, by using GWR model, we found that the five influencing factors we selected basically have a positive impact on the EPC of the YREB. By using the Random forest algorithm, we found that the three main influencing factors of EPC in the three major urban agglomerations in the YREB are the proportion of secondary industry in GDP, Per capita disposable income of urban residents, and Urbanization rate.

scholarly journals The Dynamic Logic of Policies and Contingent Planning

2019 ◽  
pp. 659-674
Author(s):  
Thomas Bolander ◽  
Thorsten Engesser ◽  
Andreas Herzig ◽  
Robert Mattmüller ◽  
Bernhard Nebel
Keyword(s):  
Dynamic Logic ◽  
Contingent Planning

Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS

Cities ◽  
2005 ◽  
Vol 22 (6) ◽  
pp. 400-410 ◽  
Author(s):  
Guangjin Tian ◽  
Jiyuan Liu ◽  
Yichun Xie ◽  
Zhifeng Yang ◽  
Dafang Zhuang ◽  
...  
Keyword(s):  
Driving Forces ◽  
Urban Land ◽  
Temporal Dynamic ◽  
Dynamic Pattern ◽  
Spatio Temporal
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