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International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)

作者： Shahriar Hasan Shehab Shahreen Hassan Md. Ashif Islam Oni Shuvashis Dey Md. Munir Hassan Department of Electrical and Electronic Engineering American International University-Bangladesh (AIUB) Dhaka Bangladesh Dept. of Electrical and Computer Systems Engineering Monash University Australia Dept. of Naval Architecture and Marine Engineering Military Institute of Science and Technology (MIST) Dhaka Bangladesh

This paper presents a design of an elliptical patch textile antenna having operating frequency at 2.45 GHz for RFID application. The proposed antenna consists of elliptical patch on Dacron fabric (□ r =3) as substrate followed by a partial ground at the back of the substrate. The overall size of the proposed antenna is 45×38 mm 2 . The proposed antenna has a gain of 3.386 dB with VSWR of 1.07. The performance of the proposed antenna is analyzed under four angles of bending. The effect of change in feed length is also focused. The characteristics, low profile and compact size of the antenna depicts as a potential candidate for RFID application. CST Microwave Studio package is used for design and simulation purpose.

关键词： Textiles Substrates Feeds Radiofrequency identification Slot antennas

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ST-Diary: A multimedia authoring environment for crowdsourced spatio-temporal events 8

ST-Diary: A multimedia authoring environment for crowdsource...

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8th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2015

作者： Ahmad, Akhlaq Afyouni, Imad Murad, Abdullah Rahman, Md. Abdur Rehman, Faizan Ur Sadiq, Bilal Basalamah, Saleh Wahiddin, Mohamed Ridza Kulliyah of Information and Communication Technology International Islamic University Makkah Saudi Arabia College of Engineering and Islamic Architecture Umm Al Qura University Makkah Saudi Arabia KACST GIS Technology Innovation Center Umm Al Qura University Makkah Saudi Arabia Innovation and Entrepreneurship Institute Umm Al Qura University Malaysia College of Computer and Information Systems Umm Al Qura University Makkah Saudi Arabia Dept. of Computer Science LIG University of Grenoble Alpes France

ISBN: (纸本)9781450339759

The intensive use of social media through mobile devices has leveraged the development of digital diary applications that keep track of social events as well as geotagged multimedia content. In a large crowd where users with cultural diversity perform spatiotemporal activities, such geotagged multimedia content facilitates users' navigation through points of interest (POI) based on their preferences. This work presents a crowdsourced geo-spatial multimedia data aggregation tool that allows users to develop diary chapters relevant to forthcoming users' spatio-temporal activities. Our proposed solution provides users with the ability to add POIs through an authoring environment with multiple dimensions, such as spatio-temporal filters, multimedia categories, and event types. Specific application domains such as emergency situations, leisure trips, journalism, and tourism can take benefit of this technique. This authoring environment also visualizes geo-spatial multimedia content for collocated points of interest (CPOI) with moving users' timelines. We plan to integrate our proposed authoring environment as a proof of concept into our existing large-scale crowdsourcing environment that is envisioned to support millions of users during the Hajj 2015 event.

关键词： Crowdsourcing

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Warp-level divergence in GPUs: Characterization, impact, and mitigation

Warp-level divergence in GPUs: Characterization, impact, and...

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20th IEEE International Symposium on High Performance computer architecture, HPCA 2014

作者： Xiang, Ping Yang, Yi Zhou, Huiyang Dept. of Electrical and Computer Engineering North Carolina State University Raleigh NC United States Dept. of Computing Systems Architecture NEC Laboratories America Princeton NJ United States

ISBN: (纸本)9781479930975

High throughput architectures rely on high thread-level parallelism (TLP) to hide execution latencies. In state-of-art graphics processing units (GPUs), threads are organized in a grid of thread blocks (TBs) and each TB contains tens to hundreds of threads. With a TB-level resource management scheme, all the resource required by a TB is allocated/released when it is dispatched to / finished in a streaming multiprocessor (SM). In this paper, we highlight that such TB-level resource management can severely affect the TLP that may be achieved in the hardware. First, different warps in a TB may finish at different times, which we refer to as 'warp-level divergence'. Due to TB-level resource management, the resources allocated to early finished warps are essentially wasted as they need to wait for the longest running warp in the same TB to finish. Second, TB-level management can lead to resource fragmentation. For example, the maximum number of threads to run on an SM in an NVIDIA GTX 480 GPU is 1536. For an application with a TB containing 1024 threads, only 1 TB can run on the SM even though it has sufficient resource for a few hundreds more threads. To overcome these inefficiencies, we propose to allocate and release resources at the warp level. Warps are dispatched to an SM as long as it has sufficient resource for a warp rather than a TB. Furthermore, whenever a warp is completed, its resource is released and can accommodate a new warp. This way, we effectively increase the number of active warps without actually increasing the size of critical resources. We present our lightweight architectural support for our proposed warp-level resource management. The experimental results show that our approach achieves up to 76.0% and an average of 16.0% performance gains and up to 21.7% and an average of 6.7% energy savings at minor hardware overhead. © 2014 IEEE.

关键词： Graphics processing unit

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A spatio-temporal multimedia big data framework for a large crowd

A spatio-temporal multimedia big data framework for a large ...

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IEEE International Conference on Big Data

作者： Bilal Sadiq Faizan Ur Rehman Akhlaq Ahmad Md. Abdur Rahman Sohaib Ghani Abdullah Murad Saleh Basalamah Ahmad Lbath KACST GIS Technology Innovation Center Umm Al Oura University Saudi Arabia Dept. of Computer Science University of Grenoble Alpes France College of Engineering and Islamic Architecture Umm Al Qura University Saudi Arabia Kulliyah of Information and Communication Technology International Islamic University Kuala Lumpur Malaysia College of Computer and Information Systems Umm Al Qura University Saudi Arabia Innovation and Entrepreneurship Institute Umm Al Qura University Saudi Arabia

Crowdsourced multimedia data poses several challenges when it is collected, stored, indexed, retrieved, and visualized. Examples of crowd source multimedia data are social sensors, vehicle sensors, physical sensors, human sensors, etc. Analyzing such multimodal and diversified crowdsourced data provides very rich understanding about the need of individuals within a crowd. Such understanding makes it possible to tailor services to individuals' needs, also called context-aware services. In this paper, we propose a spatial multimedia big data framework that can collect multimedia data from 1) a very large crowd equipped with multi-sensory smartphones, 2) vehicles, and 3) social networks. A set of multimedia services are offered to users to support their spatio-temporal activities. These include but not limited to 1) simple user interfaces to utilize multimedia services for instant guidance, 2) navigation to points of interests (POI), and 3) efficient and cost effective intra-city rides to users. The big data framework is designed to handle a very large number of multimedia spatio-temporal queries in real-time. The system is a pilot project and will be deployed during the event of Hajj 2015 when over three million pilgrims from all over the world will visit Makkah, Saudi Arabia to perform their Hajj rituals.

关键词： Multimedia communication Big data Sensors Streaming media Multimedia databases Crowdsourcing Semantics

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Characterization of Laser Inscribed On-Chip Photonic Lanterns with Different Core Distances

Characterization of Laser Inscribed On-Chip Photonic Lantern...

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European Conference on Optical Communication

作者： Justus Bohn Joel Carpenter Simon Gross Michael Withford Jochen Schroder Centre for Ultrahigh bandwidth Devices for Optical Systems (CUDOS) Architecture and Information Technology University of Queensland Australia Dept. of Physics and Astronomy Macquarie University Australia School of Electrical and Computer Engineering RMIT University Melbourne Australia

We measured the wavelength-dependent transfer matrix of multiple photonic lanterns with different core spacings using a spatially diverse swept-wavelength interferometer. We characterised the mode-coupling and mode-de... 详细信息

关键词： Photonics Multiplexing Couplings Wavelength measurement Optical losses Optical interferometry Optical devices

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Warp-level divergence in GPUs: Characterization, impact, and mitigation

Warp-level divergence in GPUs: Characterization, impact, and...

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IEEE Symposium on High-Performance computer architecture

作者： Ping Xiang Yi Yang Huiyang Zhou Dept. of Electrical and Computer Engineering North Carolina State University Raleigh NC USA Dept. of Computing Systems Architecture NEC Laboratories America Princeton NJ USA

High throughput architectures rely on high thread-level parallelism (TLP) to hide execution latencies. In state-of-art graphics processing units (GPUs), threads are organized in a grid of thread blocks (TBs) and each TB contains tens to hundreds of threads. With a TB-level resource management scheme, all the resource required by a TB is allocated/released when it is dispatched to / finished in a streaming multiprocessor (SM). In this paper, we highlight that such TB-level resource management can severely affect the TLP that may be achieved in the hardware. First, different warps in a TB may finish at different times, which we refer to as `warp-level divergence'. Due to TB-level resource management, the resources allocated to early finished warps are essentially wasted as they need to wait for the longest running warp in the same TB to finish. Second, TB-level management can lead to resource fragmentation. For example, the maximum number of threads to run on an SM in an NVIDIA GTX 480 GPU is 1536. For an application with a TB containing 1024 threads, only 1 TB can run on the SM even though it has sufficient resource for a few hundreds more threads. To overcome these inefficiencies, we propose to allocate and release resources at the warp level. Warps are dispatched to an SM as long as it has sufficient resource for a warp rather than a TB. Furthermore, whenever a warp is completed, its resource is released and can accommodate a new warp. This way, we effectively increase the number of active warps without actually increasing the size of critical resources. We present our lightweight architectural support for our proposed warp-level resource management. The experimental results show that our approach achieves up to 76.0% and an average of 16.0% performance gains and up to 21.7% and an average of 6.7% energy savings at minor hardware overhead.

关键词： Registers Instruction sets Resource management Benchmark testing Graphics processing units Kernel Clocks

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Photo rendering with swarms: From figurative to abstract pherogenic imaging

Photo rendering with swarms: From figurative to abstract phe...

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2013 IEEE Symposium on Computational Intelligence for Creativity and Affective Computing, CICAC 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

作者： Fernandes, Carlos M. Mora, Antonio Merelo, Juan Julian Cotta, Carlos Rosa, Agostinho C. Dep. of Computer Architecture and Technology University of Granada Spain Systems and Robotics Institute Technical University of Lisbon Portugal Dept. of Computer Languages and Computer Science University of Malaga Spain

ISBN: (纸本)9781467360104

This paper describes the use of ant colony models for photographic rendering, that is, for the depiction or interpretation of photographic images. A description of a previously proposed ant-based edge detection method called pherographia is given in order to contextualize this paper's proposal. Then, the application of the KANTS algorithm to photo-rendering is introduced. KANTS is ant-based clustering algorithm described by a set of equations that model the local behavior of simple units (ants). These units represent data samples. When moving on a heterogeneous 2-dimensional lattice of vectors, global behavior emerges from the local interaction between the ants, which self-organize into clusters. In this paper, a data set consists of the RGB values of a digital (or digitalized) photograph. Two different approaches for the initialization of the environment are tested, each one resulting in radically different output images: when the environment is initialized with the RGB values of the same image that is used to generate the data set, the final result is very similar to the original photo;a random initialization of the environment leads to an abstract interpretation of the photo. The results are contextualized within previous swarm artworks by the authors. © 2013 IEEE.

关键词： Ant colony optimization

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Towards a mobile and context-aware framework from crowdsourced data

Towards a mobile and context-aware framework from crowdsourc...

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International Conference on Information and Communication Technology for the Muslim World (ICT4M)

作者： Akhlaq Ahmad Md. Abdur Rahman Imad Afyouni Faizan Ur Rehman Bilal Sadiq Mohamed Ridza Wahiddin College of Engineering and Islamic Architecture Umm Al-Qura University Makkah Saudi Arabia Kulliyyah of Information and Communication Technology International Islamic University Kuala Lumpur Malaysia College of Computer and Information Systems Umm Al-Qura University Makkah Saudi Arabia KACST GIS Technology Innovation Center Umm Al-Qura University Makkah KSA Dept. of Computer Science LTG. Universitv of Grenoble Alpes France

Capturing users' spatio-temporal context by recognizing their interests, locations, history and activities, and thereafter providing context-aware services is a challenging task. In this paper, we propose a spatio-temporal zoning model that takes different context dimensions into account and try to recommend necessary services to users in a personalized way. First, we propose a generic zoning model with unrestricted set of contexts where both spatial and temporal dimensions are relaxed, followed by two semi-restricted zoning models in which either spatial or temporal dimension is relaxed, while the other one is restricted. Finally, we show the model requiring restricted spatio-temporal zoning that applies to the scenario where millions of users need to perform some activities that have to be performed in a certain location and at a certain temporal period. We use the above zoning model for Hajj and Umrah events to define pilgrim's spatio-temporal contexts by capturing their real-time and historic activities through their smartphones' sensory data. This allows to intelligently recommend a set of necessary services to the users. We present a few of the implementations introduced in our proposed system.

关键词： Decision support systems

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Numerical simulation of pollutant transport in a shallow-water system on the Cell heterogeneous processor

Numerical simulation of pollutant transport in a shallow-wat...

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作者： González, Carlos H. Fraguela, Basilio B. Andrade, Diego García, José A. Castro, Manuel J. Computer Architecture Group Electronics and Systems Dept. Univ. da Coruña A Coruña Spain Applied Mathematics Area Mathematics Dept. Univ. da Coruña A Coruña Spain Mathematical Analysis Dept. Univ. of Málaga Málaga Spain

This paper presents an implementation, optimized for the Cell processor, of a finite volume numerical scheme for 2D shallow-water systems with pollutant transport. A description of the special architecture and programming required by the Cell processor motivates the methodology to develop optimized implementations for this platform. This process involves parallelization, data structure reorganization, explicit transfers of data and computation vectorization. Our implementation, tested using a realistic problem, achieves very good speedups with respect to the sequential execution on a standard CPU. © 2013 Springer Science+Business Media New York.

关键词： Finite volume method

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