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International SoC Design Conference, ISOCC

作者： Lanxiang Wang Menglong He Zhao Wang Mark Leach Jingchen Wang Kalok Man Eng Gee Lim Dept. of Electrical and Electronic Engineering Dept. of Computer Science and Software Engineering Xi’ an Jiaotong-Liverpool Univeristy Suzhou P.R.China

ISBN: (纸本)9781509032204

Radio frequency (RF) energy harvesting is a promising technique to energize low power electronic devices due to the sustainability it could offer resulting from the surge in ambient wireless signals it could utilize. In this paper, a concise literature survey on this technique is presented. Firstly, the architecture of a RF energy harvesting network is briefly introduced. Secondly, background relating to the antenna and rectifier designs is provided. Finally, some state-of-the-art designs from recent years are presented.

关键词： Radio frequency Energy harvesting Rectifiers Microstrip antennas Rectennas Dipole antennas

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A new type of preference relations: Fuzzy preference relations with self-confidence

A new type of preference relations: Fuzzy preference relatio...

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2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

作者： Enrique, Herrera-Viedma Liu, Wenqi Dong, Yucheng Chiclana, Francisco Cabrerizo, Francisco Javier Business School Sichuan University Chengdu China Faculty of Technology De Montfort University Leicester United Kingdom DECSAI University of Granada E-Granada Spain UNED Dept. Software Engineering and Computer Systems Madrid Spain

ISBN: (纸本)9781509006250

Preference relations are very useful to express decision makers' preferences over alternatives in the process of decision-making. However, multiple self-confidence levels are not considered in existing preference relations. In this study, we propose a new type of preference relations: fuzzy preference relations with self-confidence. A linear programming model is proposed for estimating priority vectors of this new type of preference relations. Finally, two numerical examples are provided to demonstrate the linear programming model, and a comparative analysis is used to show the influence of self-confidence levels on the decision-making results. © 2016 IEEE.

关键词： Decision making

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Neighboring Zipcodes with a new distance mapping method for better accuracy

Neighboring Zipcodes with a new distance mapping method for ...

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IEEE International Conference on Networking, Sensing and Control

作者： Jordan Apgar Cui Yu Dept. Computer Science & Software Engineering Monmouth University West Long Branch NJ USA

ISBN: (纸本)9781467399760

The basis for this project was to attempt to improve upon searches for neighboring "zipcodes". Simple search algorithms lack the granularity to properly determine nearby "zipcodes". In this paper, we include data concerning the boundaries of each zip code area which are then indexed using a new grid-based distance mapping approach to answer neighboring searches. Searches with this method become significantly more accurate at the expense of time. Furthermore, several methods of optimization are examined to demonstrate how they can bring the search time down to more reasonable threshold.

关键词： nearest neighbor search zip code distance

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Future Trends in software engineering Research for Mobile Apps

Future Trends in Software Engineering Research for Mobile Ap...

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IEEE International Conference on software Analysis, Evolution and Reengineering (SANER)

作者： Meiyappan Nagappan Emad Shihab Department of Software Engineering Rochester Institute of Technology Rochester NY USA Dept. of Computer Science and Software Engineering Concordia University Montreal QC Canada

There has been tremendous growth in the use of mobile devices over the last few years. This growth has fueled the development of millions of software applications for these mobile devices often called as 'apps'. Current estimates indicate that there are hundreds of thousands of mobile app developers. As a result, in recent years, there has been an increasing amount of software engineering research conducted on mobile apps to help such mobile app developers. In this paper, we discuss current and future research trends within the framework of the various stages in the software development life-cycle: requirements (including non-functional), design and development, testing, and maintenance. While there are several non-functional requirements, we focus on the topics of energy and security in our paper, since mobile apps are not necessarily built by large companies that can afford to get experts for solving these two topics. For the same reason we also discuss the monetizing aspects of a mobile app at the end of the paper. For each topic of interest, we first present the recent advances done in these stages and then we present the challenges present in current work, followed by the future opportunities and the risks present in pursuing such research.

关键词： Mobile communication software engineering Feature extraction software Smart phones Google

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MULTI-CHANNEL POWER ALLOCATION FOR DEVICE-TO-DEVICE COMMUNICATION UNDERLAYING CELLULAR NETWORKS

MULTI-CHANNEL POWER ALLOCATION FOR DEVICE-TO-DEVICE COMMUNIC...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Ruhallah AliHemmati Ben Liang Min Dong Gary Boudreau S. Hossein Seyedmehdi Dept. of Electrical and Computer Engineering University of Toronto Toronto Canada Dept. of Electrical Computer and Software Engineering University of Ontario Institute of Technology Oshawa Canada Ericsson Canada Ottawa Canada

ISBN: (纸本)9781479999897

In underlay device-to-device (D2D) communication, a D2D pair reuses the cellular spectrum and creates interference to regular cellular users. Optimal operation requires joint consideration for the achieved D2D rate and the added interference to cellular users. Most existing work on D2D rate maximization concerns only the simplified scenario where the D2D pair has access to a single channel or resource block. In this work, we present an optimization solution to allocate the D2D transmission power over multiple channels, to maximize the sum rate between D2D and cellular users, under a sum-power constraint on the D2D transmitter and minimum SINR guarantees at each RB for all cellular users. The proposed optimization is applicable to both uplink and downlink cellular spectrum sharing. Our simulation studies further shed light into how the maximum sum rate is impacted by the available D2D power and the SINR guarantees.

关键词： Device-to-device communication power allocation rate maximization

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Machine understanding in agent-directed simulation: State-of-the-art and research directions

Machine understanding in agent-directed simulation: State-of...

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Modeling and Simulation of Complexity in Intelligent, Adaptive and Autonomous Systems 2016, MSCIAAS 2016 and Space Simulation for Planetary Space Exploration, SPACE 2016, Part of the 2016 Spring Simulation Multi-Conference, SpringSim 2016

作者： Ören, Tuncer Yilmaz, Levent Ghasem-Aghaee, Nasser Kazemifard, Mohammad Noori, Fariba University of Ottawa School of EE and Computer Science OttawaONKIN 6N5 Canada Dept. of Computer Science and Software Engineering Auburn University AuburnAL United States Department of Computer Eng. Sheikh Bahaee University University of Isfahan Isfahan Iran Department of Computer Eng. Razi University Kermanshah Iran

ISBN: (纸本)9781510823198

To set the stage, the comprehensive big picture of simulation is evoked and references to get detailed information are given. As part of the powerful synergy of software agents and simulation, contribution of software agents to simulation is outlined and proper references are given. The contribution of agents to simulation leads to agent simulation, agent-supported simulation, and agentmonitored simulation. Machine understanding which is an important aspect of computational intelligence, is outlined. Scope of machine understanding is specified, a functional decomposition of machine understanding systems is explained and elements of machine understanding systems are identified. After briefly explaining four categories and two stages of machine understanding, appropriate references are given. After this background, state-of-the-art of contribution of several types of machine understanding to three aspects of agent-directed simulation are listed and references provided. This part consists of contribution of machine understanding to agent simulation, to agentsupported simulation, and to agent-monitored simulation. For each three categories, some desirable research directions are also outlined. © 2016 Society for Modeling & Simulation International (SCS).

关键词： Circuit simulation

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Non-planar Infrared-Visible Registration for Uncalibrated Stereo Pairs

Non-planar Infrared-Visible Registration for Uncalibrated St...

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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Dinh-Luan Nguyen Pierre-Luc St-Charles Guillaume-Alexandre Bilodeau Faculty of Information Technology University of Science Ho Chi Minh city Vietnam Dept. of Computer & Software Eng. Polytechnique Montreal Montreal QC Canada

Thermal infrared-visible video registration for nonplanar scenes is a new area in visual surveillance. It allows the combination of information from two spectra for better human detection and segmentation. In this paper, we present a novel online framework for visible and thermal infrared registration for non-planar scenes that includes foreground segmentation, feature matching, rectification and disparity calculation. Our proposed approach is based on sparse correspondences of contour points. The key ideas of the proposed framework are the removal of spurious regions at the beginning of videos and a registration methodology for non-planar scenes. Besides, a new non-planar dataset with an associated evaluation protocol is also proposed as a standard assessment. We evaluate our method on both public planar and non-planar datasets. Experimental results reveal that the proposed method can not only successfully handle non-planar scenes but also gets state-of-the-art results on planar ones.

关键词： Streaming media Shape Feature extraction Protocols Force Registers Context

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Predicting Build Co-changes with Source Code Change and Commit Categories

Predicting Build Co-changes with Source Code Change and Comm...

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IEEE International Conference on software Analysis, Evolution and Reengineering (SANER)

作者： Christian Macho Shane McIntosh Martin Pinzger Software Engineering Research Group University of Klagenfurt Klagenfurt Austria Dept. of Electrical and Computer Engineering McGill University Montreal Canada

When software is maintained and evolved the build configuration also needs to be updated. Knowing when to update the build configuration is typically done manually with the risk of missing an update and breaking the build. To mitigate this risk, previous work has investigated prediction models to help developers to identify commits that will likely involve an update of the build configuration. In this paper, we investigate whether we can improve these existing prediction models by taking into account detailed information on source code changes and commit categories. Our main hypothesis is that such detailed information on changes will significantly improve the prediction of build co-changes. To that extent, we extract information on changes from 10 Java open source projects and use a random forest classifier to train models that predict build co-changes within and across projects. Our results show significant improvements over existing prediction models: the AUC for intra-and cross-project prediction improves by 11.54% and 9.46% respectively. In addition, we investigate advanced resampling techniques to explore the effect of unbalanced data on our models. The results show that SMOTE can particularly improve prediction models with low performance that were trained on unbalanced data. Our models improve the prediction and enable a better understanding of build co-changes.

关键词： Predictive models Java Training Data mining Data models Computational modeling Maintenance engineering

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A pipelined-based multi-thread acceleration method for remote sensing image progressive transmission

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2016年第9期9卷 123-138页

作者： Qu, Haicheng Zhang, Junping Meng, Yu Dept. of Information Engineering Harbin Institute of Technology Harbin China Dept. of Software Engineering Software College of Liaoning Technical University Huludao China Dept.of Computer Application Technology College of Information Science and Engineering Northeastern University Shenyang China

In order to meet the different data browsing requests for different users to the visual quality of remote sensing images in heterogeneous network especially under narrow bandwidth environments, an online remote sensing image progressive transmission model is constructed in which remote sensing image compression and decompression are synchronized with transmission. At the same time, a pipeline-based multi-threaded acceleration method has been proposed through solving the asynchronous problem between compression decompression and transmission to improve the efficiency of remote sensing progressive transmission. At last, an idea of retry broken downloads transmission interruption has been implemented to improve end-user interactive experience. Experimental results show that the whole processing speed has been improved nearly twice without reducing image transmission quality and the amount of data transmission was reduced evidently by using the proposed progressive transmission and real-time compression model. © 2016 SERSC.

关键词： Image enhancement

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Middleware Support for Dynamic Sensing Applications

Middleware Support for Dynamic Sensing Applications

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International Conference on Platform Technology and Service (PlatCon)

作者： Ka Lok Man Danny Hughes Sheng-Uei Guan Prudence W. H. Wong Dept. of Computer Science and Software Engineering Xi'an Jiaotong-Liverpool University Suzhou China iMinds-DistriNet KULeuven Belgium Dept. of Computer Science University of Liverpool United Kingdom

Sensing systems are moving out of the laboratory and into the real world, where they are being applied in a growing range of application scenarios. In order to increase effectiveness and efficacy as well as the return on investment, sensor systems must increasingly become easily reconfigurable and adjustable, in order to support system evolution and optimization. Currently, software technologies for Wireless Sensor Networks (WSNs) lack the feature of dynamic sensing. This proposed project tackles the critical problem of developing software technologies and specifically middleware support that reduces the complexity of developing and managing dynamic sensing systems. Achieving this vision within the resource constraints of contemporary systems requires a radical rethinking of classic middleware design and the development of a suite of efficient supporting tools. This paper presents our on-going research which focuses on enhancing the component model along with features of dynamic sensing, with innovative components implemented based on the middleware platform LooCI (The Loosely-coupled Component Infrastructure), which has gained widespread popularity. Technological outcomes of this research will be validated in the domain of logistics, but their applications can be extended to various industrial areas.

关键词： Sensors Wireless sensor networks Middleware Logistics Prototypes computer science

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