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: An efficient B + -tree design for main-memory database systems with strong access locality
Authors: PeiLun Suei a , Victor CS Lee b,fi , ShiWu Lo c , TeiWei Kuo
Abstract: This paper is motivated by the strong demands of many main-memory database applications with strong locality in data access, such as front-end logistical systems. We propose to adopt an auxiliary-tree approach with an tree-merging algorithm to efficiently handle bursty data insertions with keys in a small range and avoid significant overheads in tree rebalancing. A range-based deletion algorithm is then proposed to process data deletions with strong access locality in a batch fashion. The capability of the proposed approach is evaluated by a series of experiments with a wide range of workloads and a variety of locality patterns, where different tree index structures are compared in terms of the performance and memory space requirements.
Publish Year: 2013
Published in: Information Sciences - Science Direct
Number of Pages: 21
موضوع: پایگاه داده (Data Base )
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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: Function optimisation by learning automata
Authors: QH Wu , HL Liao
Abstract: This paper presents a new algorithm, Function Optimisation by Learning Automata (FOLA), to solve complex function optimisation problems. FOLA consists of multiple automata, in which each automaton undertakes dimensional search on a selected dimension of the solution domain. A search action is taken on a path which is identified in the search space by the path value, and the path value is updated using the values of the states visited in the past, via a state memory that enables better use of the information collected in the optimisation process. In this paper, FOLA is compared with two popularly used particle swarm optimisers and four newly-proposed optimisers, on nine complex multi-modal benchmark functions. The experimental results have shown that in comparison with the other optimisers, FOLA offers better performance for most of the benchmark functions, in terms of its convergence rate and accuracy, and it uses much less computation time to obtain accurate solutions, especially for high-dimensional functions. In order to explore the FOLA s potential for applications, it is also applied to solve an optimal power flow problem of power systems. FOLA is able to minimise the fuel cost and enhance the voltage stability of the power system more efficiently in comparison with the other algorithms.
Publish Year: 2013
Published in: Information Sciences - Science Direct
Number of Pages: 20
موضوع: اتوماتای یادگیر (Learning Automata )
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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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