Light Weight Quadruped with Nine Actuators

2007 ◽  
Vol 19 (2) ◽  
pp. 160-165 ◽  
Author(s):  
Kan Yoneda ◽  
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Quadruped Robot ◽  
Light Weight ◽  
Quadruped Locomotion ◽  
Quadruped Robots ◽  
Reduce Energy Consumption ◽  
Relationship Of ◽  
The Relationship

Quadruped robots, which tend to be heavy can be made lighter by carefully considering the number of actuators and required power. This paper discusses the relationship of the moving functions of quadruped locomotion and the required number of actuators. Using fewer actuators than conventionally need not prevent the quadruped robot from satisfactory locomotion. At the same time, energy saving brings a lighter design, because required actuators and batteries are smaller. This paper discusses several techniques to reduce energy consumption. Combining these discussions, examples of 3-, 5-, and 9-actuator quadrupeds are designed, and experimentally performed good locomotion.

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

Study on the Relationship between Energy Consumption, Carbon Emission and Economic Growth in China

2013 ◽  
Vol 869-870 ◽  
pp. 746-749
Author(s):  
Tian Tian Jin ◽  
Jin Suo Zhang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Structure ◽  
Ardl Model ◽  
Relationship Of ◽  
The Relationship ◽  
Reducing Energy

Abstract. Based on ARDL model, this paper discussed the relationship of energy consumption, carbon emission and economic growth.The results indicated that the key to reduce carbon emissions lies in reducing energy consumption, optimizing energy structure.

scholarly journals Analysis and Forecasting of the Energy Consumption in Wastewater Treatment Plant

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
ZhenHua Li ◽  
ZhiHong Zou ◽  
LiPing Wang
Keyword(s):  
Wastewater Treatment ◽  
Energy Consumption ◽  
Energy Saving ◽  
Wastewater Treatment Plant ◽  
Rbf Neural Network ◽  
Influence Factors ◽  
Treatment Plant ◽  
Fuzzy Clustering Method ◽  
Complete Set ◽  
The Relationship

Wastewater treatment plant (WWTP) is the energy-intensive industries. Energy is consumed at every stage of wastewater treatment. It is the main contributor to the costs of WWTP. Analysis and forecasting of energy consumption are critical to energy-saving. Many factors influence energy consumption. The relationship between energy consumption and wastewater is complex and challenging to identify. This article employed the fuzzy clustering method to categorize the sample data of WWTP and analyzed the relationship between energy consumption and the influence factors in different categories. The study found that energy efficiency in various categories was changed and the same influence factors in different types had different influence intensity. The Radial Basis Function (RBF) neural network was used to forecast energy consumption. The data from the complete set and categories was adopted to train and test the model. The results show that the RBF model using the date from the subset has better performance than the multivariable linear regression (MLR) model. The results of this study provided an essential theoretical basis for energy-saving in WWTP.

An intelligent system for energy management in smart cities based on big data and ontology

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zaoui Sayah ◽  
Okba Kazar ◽  
Brahim Lejdel ◽  
Abdelkader Laouid ◽  
Ahmed Ghenabzia
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Energy Saving ◽  
Intelligent System ◽  
Smart Cities ◽  
Semantic Integration ◽  
Saving Energy ◽  
Content Type ◽  
Multi Agent ◽  
Reduce Energy Consumption

PurposeThis research paper aims at proposing a framework based on semantic integration in Big Data for saving energy in smart cities. The presented approach highlights the potential opportunities offered by Big Data and ontologies to reduce energy consumption in smart cities.Design/methodology/approachThis study provides an overview of semantics in Big Data and reviews various works that investigate energy saving in smart homes and cities. To reach this end, we propose an efficient architecture based on the cooperation between ontology, Big Data, and Multi-Agent Systems. Furthermore, the proposed approach shows the strength of these technologies to reduce energy consumption in smart cities.FindingsThrough this research, we seek to clarify and explain both the role of Multi-Agent System and ontology paradigms to improve systems interoperability. Indeed, it is useful to develop the proposed architecture based on Big Data. This study highlights the opportunities offered when they are combined together to provide a reliable system for saving energy in smart cities.Practical implicationsThe significant advancement of contemporary applications (smart cities, social networks, health care, IoT, etc.) requires a vast emergence of Big Data and semantics technologies in these fields. The obtained results provide an improved vision of energy-saving and environmental protection while keeping the inhabitants’ comfort.Originality/valueThis work is an efficient contribution that provides more comprehensive solutions to ontology integration in the Big Data environment. We have used all available data to reduce energy consumption, promote the change of inhabitant’s behavior, offer the required comfort, and implement an effective long-term energy policy in a smart and sustainable environment.

Energy-Saving and Economic Study of Natural Ventilation in City Tunnel

2012 ◽  
Vol 178-181 ◽  
pp. 92-97 ◽  
Author(s):  
Jin Feng Mao ◽  
Yu Liang Huang ◽  
Jun Zhou ◽  
Zhe Li Xing
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Natural Ventilation ◽  
Economic Study ◽  
Equipment Investment ◽  
Longitudinal Ventilation ◽  
Highway Tunnel ◽  
Tunnel Design ◽  
Total Investment ◽  
Reduce Energy Consumption

City highway tunnel ventilation design is one of the key processes in whole tunnel design. The ventilation design has important influence in ventilation sanitation effect, equipment investment, operations energy consumption and operations cost. On the premise of safety and sanitation, if city tunnel adopts natural ventilation, this can reduce energy consumption, construction cost and operations cost. Combining practical conditions of a project, this paper evaluated three kinds of mechanical ventilation, and analyzed contrastively economic efficiency of the natural ventilation and the jet longitudinal ventilation. At last drew the conclusion that the natural ventilation can reduce the total investment by 30% and has obvious energy-saving efficiency, then put forward the pertinent suggestions to the ventilation construction of highway tunnel.

The Dynamic Relationship between Economic Development and Energy Consumption: Evidence from China

2011 ◽  
Vol 347-353 ◽  
pp. 3215-3218
Author(s):  
Hua Xin Zhang ◽  
Hai Ying Liu
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Energy Saving ◽  
Cointegration Test ◽  
Dynamic Relationship ◽  
The Relationship ◽  
Main Factor

The traditional opinions regard energy as the main factor for the economic development, but not the key one, because there are different conclusions from the practical researches on the relationship between the energy consumption and economic development. The article utilizes the Granger casual test and Cointegration test to analyze the dynamic relationship between energy consumption and economic development in China. Based on our conclusion that economic development relies on energy consumption, some suggestions are given for energy saving and development in the long-term.

Research and Discussion on Energy-Saving of Existing Buildings in Northwest of Liaoning Province

2012 ◽  
Vol 178-181 ◽  
pp. 221-224
Author(s):  
Ya Jun Wu ◽  
Yu Ma
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Saving ◽  
Working Environment ◽  
Liaoning Province ◽  
Existing Buildings ◽  
Cold Regions ◽  
The Status ◽  
Reduce Energy Consumption

Abstract. In view of the status of existing buildings in northwest of Liaoning, most of which are lack of energy-saving practices and appear poor comfort, this paper starts from the energy saving concept, aims at figuring out the energy saving measures for cold regions, such as northwest of Liaoning province. The research includes analyzing energy-saving methods, steps and initiatives. Based on these, this paper also proposes specific technical practices to overcome the shortcomings of the existing buildings on energy conservation, and gives advices on how to reduce energy consumption and improve the quality of people’s living and working environment.

scholarly journals 40-Year Development of Ecologically Conscious Architecture in Slovakia

2014 ◽  
Vol 12 ◽  
pp. 164-170
Author(s):  
Alžbeta Križánková
Keyword(s):  
Energy Consumption ◽  
Building Materials ◽  
Limiting Factor ◽  
Sustainable Architecture ◽  
Ecological Aspects ◽  
New Ideas ◽  
Residential House ◽  
Solar House ◽  
Relationship Of ◽  
The Relationship

The year 1973 was a breakthrough year in the development of architecture. It triggered a crisis in society as well as the end of a period of relative prosperity and wasting of energy, which until then did not constitute a limiting factor. The crisis has forced to seek a new and more efficient architecture. The following decades were each in their own way characteristic particular in how architects approached to reduce the energy consumption of buildings and how they resolved the relationship of the building to the surrounding and the environment at all. My paper maps ecological ideas in architecture in Slovakia on the background of broader context. Initial decade was about searching and experiments. Mainly theoretical and research projects appeared. In the following period, first projects implementing ecological ides were built, e.g. experimental residential house in Holíč or solar house in Levice. Ecological aspects in architecture ascended to the real centre of interest in Slovakia from the 90s. After the change of political situation, sustainability was perceived more intense, as evidenced by a greater number of ecological houses of this period. Alternative building materials as well as the effort to reduce energy consumption were the driving force to the design of new buildings. New ideas often associated with an endeavor to define an appearance of ecological architecture are observable in many buildings, e.g. clay houses or solar collector house in Zvolen. My paper documents the development of sustainable architecture in Slovakia from the first attempts to the standardization of sustainable architecture with characteristic examples of ecologically conscious architecture of mentioned periods.

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