به نام خدا
Title: Energy Efficient Video Decoding for the Android Operating System
Authors: WenYew Liang, MingFeng Chang, YenLin Chen and ChinFeng Lai
Abstract: Dynamic voltage and frequency scaling (DVFS) is an effective technique for reducing power consumption. Due to the increasing popularity of multimedia applications for portable consumer electronic devices, the importance on reducing their power consumption becomes significant. This paper proposed a table-based DVFS mechanism for frame decoding that reduces the power consumption of a processor by exploiting the frame decoding complexity. A table-based DVFS predictor is used in the frame decoding prediction. This study was implemented in the Android operating system on an Intel PXA27x embedded platform. Experiment results showed that the energy consumption of decoding videos can be reduced from 9% to 17%, whereas the frame drop-rate is less than 3%.
Publish Year: 2013
Published in: ICCE - IEEE
Number of Pages: 2
موضوع: سیستم عامل اندروید (Android Operating System )
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به نام خدا
Title: Indoor Air Quality Control for Energy-Efficient Buildings Using CO 2 Predictive Model
Authors: Zhu Wang and Lingfeng Wang
Abstract: In this paper, an intelligent control system for indoor air quality in energy-efficient buildings is proposed. The goal of intelligent air quality control for energy-efficient buildings is to maintain the indoor CO 2 concentration in the comfort zone with a minimum amount of energy consumption. In this study, the CO 2 concentration is used as the indicator of indoor air quality and a CO 2 predictive model is utilized to forecast the indoor CO2 concentration. Particle swarm optimization (PSO) is applied to derive the optimal ventilation rate. As compared with the traditional ON/OFF ventilation control system, the performance of the proposed intelligent control system has demonstrated its advantage in terms of energy savings. A case study and corresponding simulation results are detailed in the paper.
Publish Year: 2012
Published in: INDIN - IEEE
Number of Pages: 6
موضوع: کنترل کیفیت (Quality Control )
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به نام خدا
Title: Augmenting the World using Semantic Web Technologies
Authors: Jens Grubert, Lyndon Nixon, Gerhard Reitmayr
Abstract: Creating and maintaining augmented scenes for mobile Augmented Reality browsers can be a challenging and time consuming task. The timeliness of digital information artifacts connected to changing urban environments require authors to constantly update the structural representations of augmented scenes or to accept that the information will soon be outdated. We present an approach for retrieving multimedia content and relevant web services for mobile Augmented Reality applications at runtime. Using semantic web technologies we are able to postpone the retrieval of actual media items to the moment a user actually perceives an augmented scene. This allows content creators to augment a scene only once and avoid continuous manual updates. We also discuss the tradeoff between runtime content retrieval using Linked Data concepts and decreased control over the scene appearance at the time of authoring that comes along with this approach.
Publish Year: 2012
Published in: ISMAR - IEEE
Number of Pages: 3
موضوع: وب معنایی (Semantic Web )
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به نام خدا
Title: A high abstraction level approach for detecting feature interactions between telecommunication services
Authors: Zohair Chentouf, Ahmed Khoumsi
Abstract: When several telecommunication services are running at the same time, undesirable behaviors may arise, which are commonly called feature interactions. Several methods have been developed for detecting and resolving feature interactions. However, most of these methods are based on detailed models of services, which make them suffer from state space explosion. Moreover, different telecommunication operators cannot cooperate to manage feature interactions by exchanging detailed service models because this violates the confidentiality principle. Our work is a part of the few attempts to develop feature interaction detection methods targeting to avoid or reduce significantly state space explosion. In order to reach this objective, we first develop a so called Cause Restrict language to model subscribers of telecommunication services at a very high abstraction level. A Cause Restrict model of a subscriber provides information such as: what is the cause of what, and what restricts (or forbids) what, and specifies coarsely the frequency of each operation cause or restrict by always or sometimes. Then, we develop a method that detects feature interactions between telecommunication services modeled in the Cause Restrict language. We demonstrate the applicability of our approach by modeling several services and detecting several feature interactions between them. New feature interactions have been detected by our approach.
Publish Year: 2013
Published in: Information Sciences - Science Direct
Number of Pages: 17
موضوع: مخابرات (Telecommunication)
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به نام خدا
Title: Improved Genetic Algorithms based Optimum Path Planning for Mobile Robot
Authors: Soh Chin Yun , Veleppa Ganapathy ,Lim Ooi Chong
Abstract: Improved genetic algorithms incorporate other techniques, methods or algorithms to optimize the performance of genetic algorithm. In this paper, improved genetic algorithms of optimum path planning for mobile robot navigation are proposed. An Obstacle Avoidance Algorithm (OAA) and a Distinguish Algorithm (DA) are introduced to generate the initial population in order to improve the path planning efficiency to select only the feasible paths during the evolution of genetic algorithm. Domain heuristic knowledge based crossover, mutation, refinement and deletion operators are specifically designed to fit path planning for mobile robots. Proposed genetic algorithms feature unique, simple path representations, and simple but effective evaluation methods. Simulation studies and real time implementations are carried out to verify and validate the effectiveness of the proposed algorithms.
Publish Year: 2010
Published in: ICARCV - IEEE
Number of Pages: 13
موضوع: الگوریتم ژنتیک (Genetic Algorithms)
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