Energy Efficiency Improvement in DC Railway Systems: The State of the Art

2021 ◽  
pp. 66-106
Author(s):  
Mihaela Popescu ◽  
Alexandru Bitoleanu
Keyword(s):  
Energy Efficiency ◽  
State Of The Art ◽  
The State ◽  
Efficiency Improvement ◽  
Railway Systems ◽  
Energy Efficiency Improvement

scholarly journals Legal Adaptation in the Context of the Impact of the Industrial Revolution on Business Activity and the Key Components of the Ecosystem

Legal Concept ◽  
2021 ◽  
pp. 6-13
Author(s):  
Agnessa Inshakova ◽  
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Russian Federation ◽  
Industrial Revolution ◽  
The State ◽  
Energy Resources ◽  
Main Topic ◽  
Efficiency Improvement ◽  
Energy Efficiency Improvement ◽  
The Russian Federation

The paper is an overview of the themes selected for the main topic of the issue, their relevance and the validity of the research conducted in the journal for the legislation and law enforcement practice in the context of the industrial revolution and the need for greening modern business. In addition, the author explains the editorial board’s choice of the main topic of the next issue of the legal journal of Volgograd State University “LegalConcept = Legal paradigm” under the title “The right to protect human health and an environmentally friendly business environment”. The objective need for the technology development of the intensive involvement of the potential of Russian environmental entrepreneurship in the industrial revolution processes is substantiated. The most important tasks are identified, which are addressed by the developments in the legal regulation of the digitalization processes of environmental entrepreneurship in Russia. The author lists a set of measures that, in the author’s opinion, are of primary importance for ensuring these processes. It is noted that the topic proposed for development is closely related to the formation of scientific and technological foundations that ensure the economic growth and social development of the Russian Federation. The state of scientific and technological progress achieved by modern society is manifested by the widespread use of digital technologies in various areas of production, business management, the provision of services in medicine, the banking sector, and the social sphere. It is proved that comfortable life, the security of the processes through qualitatively new regulatory approaches, the state security, including cybersecurity, overcoming the adverse effects due to natural disasters, as well as the introduction of biotechnology, entailing the appearance of unknown infectious diseases and viruses, preventing man-made disasters – these and many other goals and objectives can’t be achieved now or get a solution without the use of digital information technologies. It is also impossible to ignore the studies of the society and nature interaction, the cross-sectoral impact of modern technology in the field of renewable energy, the turnover of energy resources and energy efficiency improvement on the environment, the life and health of citizens, the public and state institutions designed to participate in the protection of the environment which corresponds to the solution of the specific objectives set in the Strategy for Scientific and Technological Development of the Russian Federation. According to the author, the studies of the dynamics of interaction between the economic and legal institutions in the field of renewable energy development, the turnover of energy resources, and energy efficiency improvement will contribute to the expansion in renewable energy as one of the “green” sectors of the economy.

Development and establishment of energy efficiency improvement targets for primary metal industries: SIC 33. Final target documentation

1977 ◽  
Author(s):  
H. W. Lownie, Jr. ◽  
D. J. Maykuth ◽  
T. J. McLeer ◽  
J. G. Kura ◽  
J. Jr. Varga ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Efficiency Improvement ◽  
Primary Metal ◽  
Energy Efficiency Improvement

Energy efficiency improvement and GHG abatement in the global production of primary aluminium

2014 ◽  
Vol 8 (4) ◽  
pp. 629-666 ◽  
Author(s):  
Katerina Kermeli ◽  
Peter-Hans ter Weer ◽  
Wina Crijns-Graus ◽  
Ernst Worrell
Keyword(s):  
Energy Efficiency ◽  
Efficiency Improvement ◽  
Energy Efficiency Improvement ◽  
Primary Aluminium

BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization

2021 ◽  
Vol 14 (4) ◽  
pp. 1-28
Author(s):  
Tao Yang ◽  
Zhezhi He ◽  
Tengchuan Kou ◽  
Qingzheng Li ◽  
Qi Han ◽  
...  
Keyword(s):  
High Performance ◽  
State Of The Art ◽  
The State ◽  
Optimization Approach ◽  
Quantization Scheme ◽  
Model Accuracy ◽  
Sparsity Pattern ◽  
Computing Platform ◽  
Energy Efficiency Improvement ◽  
Mixed Precision

Field-programmable Gate Array (FPGA) is a high-performance computing platform for Convolution Neural Networks (CNNs) inference. Winograd algorithm, weight pruning, and quantization are widely adopted to reduce the storage and arithmetic overhead of CNNs on FPGAs. Recent studies strive to prune the weights in the Winograd domain, however, resulting in irregular sparse patterns and leading to low parallelism and reduced utilization of resources. Besides, there are few works to discuss a suitable quantization scheme for Winograd. In this article, we propose a regular sparse pruning pattern in the Winograd-based CNN, namely, Sub-row-balanced Sparsity (SRBS) pattern, to overcome the challenge of the irregular sparse pattern. Then, we develop a two-step hardware co-optimization approach to improve the model accuracy using the SRBS pattern. Based on the pruned model, we implement a mixed precision quantization to further reduce the computational complexity of bit operations. Finally, we design an FPGA accelerator that takes both the advantage of the SRBS pattern to eliminate low-parallelism computation and the irregular memory accesses, as well as the mixed precision quantization to get a layer-wise bit width. Experimental results on VGG16/VGG-nagadomi with CIFAR-10 and ResNet-18/34/50 with ImageNet show up to 11.8×/8.67× and 8.17×/8.31×/10.6× speedup, 12.74×/9.19× and 8.75×/8.81×/11.1× energy efficiency improvement, respectively, compared with the state-of-the-art dense Winograd accelerator [20] with negligible loss of model accuracy. We also show that our design has 4.11× speedup compared with the state-of-the-art sparse Winograd accelerator [19] on VGG16.

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