Basic Evaluation and Scoring of Energy Use in Range Image Curvature Determination
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Published:2024-01-30
Issue:
Volume:
Page:1-10
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ISSN:1793-351X
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Container-title:International Journal of Semantic Computing
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language:en
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Short-container-title:Int. J. Semantic Computing
Author:
Hauenstein Jacob D.1ORCID,
Newman Timothy S.1ORCID
Affiliation:
1. Computer Science Department, The University of Alabama in Huntsville, 301 Sparkman Drive Huntsville, AL 35899, USA
Abstract
Energy efficiency of surface curvature determination in range images, a core component of a variety of robotics/multimedia tasks, is studied on a popular computing architecture (Intel x86-64). Eight methods for that type of curvature determination are part of the study reported here. Their base energy usage and their reduced energy usage when energy consumption-conscious strategies are applied to them are considered within the study. Comparative evaluation of energy consumption is included in the study. The focus here on core computing component power reduction aims at enabling robotics/multimedia task computation to exhibit reduced energy usage. Some general notes on methods for potentially improving energy efficiency are also provided.
Publisher
World Scientific Pub Co Pte Ltd
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Linguistics and Language,Information Systems,Software