Efficient modeling and analysis of energy consumption for 3D graphics rendering

Integration ◽  
2016 ◽  
Vol 55 ◽  
pp. 455-464 ◽  
Author(s):  
Lidong Xing ◽  
Tao Li ◽  
Hucai Huang ◽  
Qingsheng Zhang ◽  
Jungang Han
Keyword(s):  
Energy Consumption ◽  
3D Graphics ◽  
Modeling And Analysis ◽  
Graphics Rendering ◽  
Efficient Modeling

scholarly journals New 3D Graphics Rendering Engine Architecture for Direct Tessellation of Spline Surfaces

2005 ◽  
pp. 224-231 ◽  
Author(s):  
Adrian Sfarti ◽  
Brian A. Barsky ◽  
Todd J. Kosloff ◽  
Egon Pasztor ◽  
Alex Kozlowski ◽  
...  
Keyword(s):  
3D Graphics ◽  
Spline Surfaces ◽  
Graphics Rendering ◽  
Rendering Engine

scholarly journals Modeling and Analysis of the Obstacle-Avoidance Strategies for a Mobile Robot in a Dynamic Environment

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Rui Wang ◽  
Ming Wang ◽  
Yong Guan ◽  
Xiaojuan Li
Keyword(s):  
Energy Consumption ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Obstacle Avoidance ◽  
Decision Process ◽  
Dynamic Environment ◽  
Formal Models ◽  
Modeling And Analysis ◽  
Avoidance Strategies ◽  
Markov Decision

Obstacle avoidance is a key performance of mobile robots. However, its experimental verification is rather difficult, due to the probabilistic behaviors of both the robots and the obstacles. This paper presents the Markov Decision Process based probabilistic formal models for three obstacle-avoidance strategies of a mobile robot in an uncertain dynamic environment. The models are employed to make analyses in PRISM, and the correctness of the analysis results is verified by MATLAB simulations. Finally, the minimum time and the energy consumption are determined by further analyses in PRISM, which prove to be useful in finding the optimal strategy. The present work provides a foundation for the probabilistic formal verification of more complicated obstacle-avoidance strategies.

scholarly journals Model and data management issues in the integrated assessment of existing building stocks

2020 ◽  
Vol 12 (1) ◽  
pp. 2148-2157
Author(s):  
Meliha Honic ◽  
Iva Kovacic
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Laser Scanning ◽  
Raw Materials ◽  
Existing Building ◽  
Modeling And Analysis ◽  
Automated Generation ◽  
Exchange Processes ◽  
Reduction Of Energy Consumption ◽  
Ground Penetrating

AbstractThe increasing population growth and urbanization rises the worldwide consumption of material resources and energy demand. The challenges of the future will be to provide sufficient resources and to minimize the continual amount of waste and energy demand. For the achievement of sustainability, increasing recycling rates and reuse of materials, next to the reduction of energy consumption has the highest priority.This article presents the results of the multidisciplinary research project SCI_BIM, which is conducted on an occupied existing building. Within SCI_BIM, a workflow for coupling digital technologies for scanning and modeling of buildings is developed. Laser scanning is used for capturing the geometry, and ground-penetrating radar is used for assessing material composition. For the semi-automated generation of an as-built BIM, algorithms are developed, wherefore the Point-Cloud serves as a basis. The BIM-model is used for energy modeling and analysis as well as for the automated compilation of Material Passports. Further, a gamification concept will be developed to motivate the buildings’ users to collect data. By applying the gamification concept, the reduction of energy consumption together with an automated update of the as-built BIM will be tested. This article aims to analyze the complex interdisciplinary interactions, data, and model exchange processes of various disciplines collaborating within SCI_BIM.Results show that the developed methodology is confronted with many challenges. Nevertheless, it has the potential to serve as a basis for the creation of secondary raw materials cadaster and for the optimization of energy consumption in existing buildings.

Modeling and Analysis of the Process Energy for Cylindrical Drawing

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Lei Li ◽  
Haihong Huang ◽  
Fu Zhao ◽  
Xiang Zou ◽  
Gamini P. Mendis ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Numerical Experiments ◽  
Deformation Energy ◽  
Embodied Energy ◽  
Stress And Strain ◽  
Drawing Process ◽  
Punch Force ◽  
Modeling And Analysis ◽  
Physical Mechanisms ◽  
Process Energy

As energy efficiency increases in importance, researchers have identified manufacturing processes as opportunities where energy consumption can be reduced. Drawing is one widely employed, energy intensive manufacturing process, which could benefit by analysis of energy consumption during operation. To optimize the energy consumption of the drawing process, this paper developed an explicit model to quantify the process energy for the cylindrical drawing process by analyzing the dynamic punch force during the process. In this analysis, the evolution of the stress and strain was analyzed in the drawn part by considering all the structure parameters of the drawn part. The stress and strain analyses were integrated into an overall process energy model, and the behavior of the model was classified into three categories, based on their physical mechanisms, i.e., deformation energy, bending energy, and friction energy. The model was validated using numerical experiments designed by the Taguchi method where two different kinds of materials were tested over 18 runs. The results from the numerical experiments were compared with those from the model, and show that the maximum variation of the process energy predicted by this model is less than 10% for a given part. Sensitivity analysis was performed on the model to understand the contributions of the process parameters on the process energy to guide process optimization for lower energy consumption. The established model can assist in the rapid design of drawn parts with lower embodied energy.

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