scholarly journals High Level Requirements for the Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

2011 ◽  
Author(s):  
Rich Johnson ◽  
Hyung Lee ◽  
Kimberlyn C. Mousseau
Keyword(s):  
Modeling And Simulation ◽  
Knowledge Base ◽  
Nuclear Energy ◽  
High Level

scholarly journals Dynamic statistical assessment of the competitiveness of an energy generating company (as exemplified by Rosenergoatom Concern JSC)

2021 ◽  
Vol 7 (4) ◽  
pp. 327-332
Author(s):  
Tatiana A. Burtseva ◽  
Sergey S. Khvorostyannikov ◽  
Anastasia A. Kuznetsova
Keyword(s):  
Energy Efficiency ◽  
National Economy ◽  
Nuclear Energy ◽  
Nuclear Industry ◽  
Total Energy Consumption ◽  
Russian Economy ◽  
The World ◽  
Two Factors ◽  
The Government ◽  
High Level

The depletion of traditional organic energy sources and aggravated environmental problems are the reasons why the level of energy efficiency is an important factor in the competitiveness of the national economy. Russia ranks third in the world in terms of total energy consumption and its economy is distinguished by a high level of energy intensity (amount of energy per unit of GDP). In 2019, this figure was 9.62 tons of oil equivalent (toe) per 1 million rubles, which is 40% higher than the world average. The low energy efficiency of the Russian economy is a widely recognized problem. A special decree of the Government of Russia in 2018 sets the task of increasing the level of energy efficiency of the Russian economy by 23% by 2030. One of the ways to solve this problem is the development of nuclear energy, and increasing the competitiveness of nuclear energy is one of the key issues for the national economy. In this connection, solving the problem of assessing the competitiveness of the nuclear industry and its leading companies occupies a key place among the practical scientific problems, the solution of which is facilitated by the results presented by the authors in this article. Rosenergoatom Concern JSC is the leading energy generating company in the Russian nuclear industry. The results of the study of the competitiveness of Rosenergoatom Concern JSC were obtained on the basis of the authors’ methodology for assessing the competitiveness of an energy generating company. The novelty of the presented methodology lies in the developed normative and evaluative model and the coefficients of competitiveness of an energy generating company. The advantages of the authors’ model are that it allows (1) obtaining integral assessments of the competitiveness of a power generating company at short time intervals for a large number of indicators and (2) quantitatively measuring the effects of different factors on the competitiveness of a power generating company, provided that the grouping of indicators of competitiveness of a power generating company is justified by influencing factors. The two factors considered by the authors were: the general market factor and the industry factor. According to the results of the study, it was found that Rosenergoatom Concern JSC demonstrates positive increase of the competitiveness indicator mainly due to the industry factor. With this regard, it was concluded that, within the framework of state policy, it is advisable to strengthen support for the Russian nuclear industry by creating additional conditions and opportunities for its energy generating companies on the domestic energy market.

Electro Hydraulic Control Harmonic Aging Stress Elimination Devices - Modeling and Simulation of the Shock Excitation Part

2011 ◽  
Vol 127 ◽  
pp. 439-443
Author(s):  
Hui Wang ◽  
Meng Li
Keyword(s):  
Modeling And Simulation ◽  
System Optimization ◽  
Hydraulic Control ◽  
Shock Excitation ◽  
Main Research ◽  
Interactive Environment ◽  
Development Data ◽  
Set Up ◽  
High Level ◽  
Dynamics Characteristic

The main research is the dynamics characteristic of the shock excitation part of electro hydraulic control harmonic aging stress elimination devices. Use the system dynamics knowledge to set up a dynamics model of the shock excitation part. Analyze the transfer function of system and then use MATLAB to draw graphics under the condition of different parameters. Through the simulation graphic's analysis, we can obtain the influence of various parameters on system model, so as to provide a reference for the system optimization. MATLAB is abbreviation of Matrix Laboratory, which is used for algorithm development, data visualization, data analysis and numerical calculation of high-level technical computing language and interactive environment. It is useful for us in modeling and simulation.

scholarly journals RTPO: A Domain Knowledge Base for Robot Task Planning

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1105 ◽  
Author(s):  
Sun ◽  
Zhang ◽  
Chen
Keyword(s):  
Knowledge Base ◽  
Domain Knowledge ◽  
Task Planning ◽  
Specific Domain ◽  
Goal State ◽  
Ontology Language ◽  
Planning Algorithm ◽  
Domain Knowledge Base ◽  
Robot Task ◽  
High Level

Knowledge can enhance the intelligence of robots’ high-level decision-making. However, there is no specific domain knowledge base for robot task planning in this field. Aiming to represent the knowledge in robot task planning, the Robot Task Planning Ontology (RTPO) is first designed and implemented in this work, so that robots can understand and know how to carry out task planning to reach the goal state. In this paper, the RTPO is divided into three parts: task ontology, environment ontology, and robot ontology, followed by a detailed description of these three types of knowledge, respectively. The OWL (Web Ontology Language) is adopted to represent the knowledge in robot task planning. Then, the paper proposes a method to evaluate the scalability and responsiveness of RTPO. Finally, the corresponding task planning algorithm is designed based on RTPO, and then the paper conducts experiments on the basis of the real robot TurtleBot3 to verify the usability of RTPO. The experimental results demonstrate that RTPO has good performance in scalability and responsiveness, and the robot can achieve given high-level tasks based on RTPO.

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