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10th international conference on Contemporary Computing (IC3)

作者： Bhowmick, Debanshu Singh, Atrija Sanyal, Sarini Acad Technol Dept Appl Elect & Instrumentat Kolkata India Acad Technol Dept Elect & Commun Engn Kolkata India Acad Technol Dept Comp Sci & Engn Kolkata India

ISBN: (纸本)9781538630778

Classification of neural disorders, like epilepsy, can be performed efficiently using soft computing methods. Previously many methods of detecting epilepsy using various time and time-frequency domain features have been proposed. Our study proposes a unique feature set, comprising of time domain features, Waveform Length, Root Mean Square, Mean Absolute Value and Zero Crossing, combining them with Linear Support Vector Machine to classify a set of EEG signals into epileptic and non-epileptic under non-seizure condition. Our proposed classification approach yields an accuracy of 95%.

关键词： Electroencephalogram epilepsy SVM soft - computing time-domain features biomedical signal processing

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In-pixel ADC in 3D technology 15

In-pixel ADC in 3D technology

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15th IEEE international New Circuits and Systems conference (NEWCAS)

作者： Brochard, Nicolas Ginhac, Dominique Univ Bourgogne Franche Comte Le2i CNRS Arts & Metiers F-21000 Dijon France

ISBN: (纸本)9781509049912

Decreasing size of CMOS technology plays a key role in embedding more and more functionalities in CMOS image sensors. By integrating sensing with processing, new types of CMOS imaging systems can be designed and applied in domains such as machine vision, surveillance, or medical imaging. Digital pixel sensors (DPSs) are a good example of smart vision chips including image capturing and processing modules. Indeed, they incorporate, for each pixel, parallel analog-to-digital conversion thus allowing performing such conversion in early stages. Moreover, DPSs offer several benefits such as an improved SNR (Signal Noise Ratio) and a wider dynamic range. In addition, the emergence of new technologies, typically CMOS 3D-IC technology, offers the opportunity to reduce pixel area and improve fill factor, making DPSs suitable for numerous fields of applications. this paper presents a digital pixel sensor (DPS) integrating an in-pixel sigma-delta analog-to-digital converter (ADC). the digital pixel includes a photodiode, a delta-sigma modulation and a digital decimation filter, featuring high-speed conversion, programmable resolutions (up to 10-bit). Based on the CMOS 130 nm 3D-IC Tezzaron technology, an optimized design of the pixel is provided, revealing a high fill-factor of about 90%.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Victream: Computing Framework for Out-of-Core processing on Multiple GPUs 17

Victream: Computing Framework for Out-of-Core Processing on ...

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10th international conference on Utility and Cloud Computing (UCC) / 4th international conference on Big Data Computing, Applications and Technologies (BDCAT)

作者： Suzuki, Jun Hayashi, Yuki Kan, Masaki Miyakawa, Shinya Takenaka, Takashi Araki, Takuya Kitsuregawa, Masaru NEC Corp Ltd Syst Platform Res Labs Tokyo Japan Univ Tokyo Inst Ind Sci Tokyo Japan NEC Corp Ltd IoT Devices Res Labs Tokyo Japan

ISBN: (纸本)9781450355490

In data-parallel computing that uses a graphic processing unit (GPU), processing of large data requires that multiple GPUs be used in the computer to increase its execution performance. Increasing processing performance by using multiple computing resources has been enabled by the development of computing frameworks based on a directed acyclic graph (DAG). However, their performance degrades in out-of-core processing, which often occurs in processing of large data on GPUs with limited memory capacity. the GPU data input/output (I/O) for data swapping between host memory and GPU memory during the execution of a user DAG is usually a performance bottleneck. A computing framework called "Victream" is proposed to overcome this drawback. It uses a novel scheduler that involves two methods to minimize the total amount of GPU data I/O of data swapping. First, it performs locality-aware scheduling. When it schedules a task, it selects one that requires the minimum amount of data swapping and reuses as much of the data residing in GPU memory as possible. Second, it extends the locality-aware scheduling so that GPUs can execute data prefetching. Prefetching data that are swapped out from a GPU enables efficient use of bottleneck GPU I/O resources. To prefetch the input data of future tasks, it is required to determine the schedule of future tasks. Victream's scheduler (hereafter, the Victream scheduler) extends the locality-aware scheduling so that it can schedule future tasks to enable data prefetching that is executed in the way that minimizes the amount of data I/O of data swapping. Evaluation of a Victream prototype showed that the performance of Victream is better than that of conventional frameworks by up to 117%.

关键词： Dataflow DAG scheduling out-of-core GPU

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Hardware Acceleration of the Tracking Learning Detection (TLD) Algorithm on FPGA 2017

Hardware Acceleration of the Tracking Learning Detection (TL...

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11th international conference on Distributed Smart Cameras (ICDSC)

作者： Abdali, El Mehdi Hanniche, Abderrahmane Walid Pelcat, Maxime Diguet, Jean-Philippe Berry, Francois Inst Pascal UMR CNRS 6602 Aubiere France Univ Clermont Auvergne Aubiere France INSA Rennes IETR UMR CNRS 6164 Rennes France UMR CNRS 3192 Lab STICC Lorient France

ISBN: (纸本)9781450354875

Robust object tracking is a crucial enabler of many computer vision applications. An embedded object tracker must, in addition to respecting real-time requirements, robustly update the position of the tracked object in the captured images and be able to re-identify the object when it reappears after disappearing for a number of frames. To obtain such a robustness, modern algorithms such as the Tracking Learning Detection (TLD) combine classical tracking techniques with learning capabilities. this combination makes it possible to track an object's displacement, learn its new appearances when it changes orientation and re-identify it once it reappears. the strong performances of these techniques are obtained using costly computation that challenges hardware capabilities in the context of embedded architectures. this paper proposes a strategy for porting the TLD algorithm on an Field-Programmable Gate Array (FPGA). Based on parallel image resizing and selective object patch rejection, the proposed dataflow-oriented strategy demonstrates how the structure of the algorithm can be adapted to be more streaming-oriented and fit the structure of an FPGA. the results prove a tracking performance of up to 160 fps under 50Mhz for VGA images while keeping nearly the tracking robustness of the reference algorithm implementation.

关键词： FPGA Image processing Tracking Learning Detection Dataflow

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processing Redundancy in UML Diagrams Based on Knowledge Graph 8th

Processing Redundancy in UML Diagrams Based on Knowledge Gra...

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8th international Symposium on parallel architectures, algorithms, and Programming (PAAP)

作者： Jiang, Yirui Duan, Yucong Huang, Mengxing Chen, Mingrui Li, Jingbin Zhou, Hui Hainan Univ Haikou Hainan Peoples R China

ISBN: (纸本)9789811064425;9789811064418

UML (Unified Modeling Language) is designed for all stages of software development, but it lacks precise semantic information. MDE (Model-driven engineering) takes the model as the primary software product and its main research direction is modeling and model transformation. We propose to explore the entity abstraction scenario where no existing classes fit as the representative entity for other classes through the data, information and knowledge recreation of existing classes and relationships with the introduction of knowledge graphs. In this paper, we proposed a knowledge graph to enhance model design between models.

关键词： UML MDE Redundancy Knowledge graph Diagram

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Boolean Analogical Proportions - Axiomatics and Algorithmic Complexity Issues 14th

Boolean Analogical Proportions - Axiomatics and Algorithmic ...

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14th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU) / 10th international Symposium on Imprecise Probability - theories and Applications (ISIPTA)

作者： Prade, Henri Richard, Gilles Toulouse Univ IRIT Toulouse France

ISBN: (纸本)9783319615813;9783319615806

Analogical proportions, i.e., statements of the form a is to b as c is to d, are supposed to obey 3 axioms expressing reflexivity, symmetry, and stability under central permutation. these axioms are not enough to determine a single Boolean model, if a minimality condition is not added. After an algebraic discussion of this minimal model and of related expressions, another justification of this model is given in terms of Kolmogorov complexity. It is shown that the 6 Boolean patterns that make an analogical proportion true have a minimal complexity with respect to an expression reflecting the intended meaning of the proportion.

关键词： parallel processing systems

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Femtosecond laser processing of NiPd single and 5x(Ni/Pd) multilayer thin films

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APPLIED SURFACE SCIENCE 2017年 417卷 16-22页

作者： Petrovic, S. Gakovic, B. Zamfirescu, M. Radu, C. Perusko, D. Radak, B. Ristoscu, C. Zdravkovic, S. Luculescu, C. L. Mihailescu, I. N. Univ Belgrade Inst Nucl Sci Vinca POB 522 Belgrade 11001 Serbia Natl Inst Lasers Plasma & Radiat Phys POB MG 36 Magurele Ilfov Romania

Modification of single and complex nickel-palladium samples by laser processing in the femtosecond time domain was studied. the samples were processed by focused Ti:Sapphire laser beam (Clark CPA-2101) with 775 nm laser wavelength, 2 kHz repetition rate, 200 fs pulse duration. the laser-induced morphological modifications have shown dependence on the applied fluences and number of laser pulses. the formed surface nanostructures on the single NiPd/Si and multilayer 5x(Ni/Pd)/Si systems are compared with individual Ni and Pd thin films. the results show an increase in surface roughness, formation of parallel periodic surface structures, appearance of hydrodynamic features and ablation of surface material. At low number of pulses (less than 10 pulses) and low pulse energies range (not over 1.7 mu J), the two types of laser-induced periodic surface structure (LIPSS) can be observed: low and high spatial frequency LIPSS (HSFL and LSFL). For all samples, the measured LSFL periods were 720 nm for the ripples created solely on thin film surfaces during the single pulse action. In the case of the multi-pulse irradiation, the periodicities of created LSFLs on the all investigated thin films have shown tendency to reduction with increasing of pulse energies. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Laser processing Periodic structures

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Greed Is Good: parallel algorithms for Bipartite-Graph Partial Coloring on Multicore architectures

Greed Is Good: Parallel Algorithms for Bipartite-Graph Parti...

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international conference on parallel processing (ICPP)

作者： Mustafa Kemal Taş Kamer Kaya Erik Saule Computer Science and Engineering Sabanci University Istanbul Turkey

In parallel computing, a valid graph coloring yields a lock-free processing of the colored tasks, data points, etc., without expensive synchronization mechanisms. However, coloring is not free and the overhead can be significant. In particular, for the bipartite-graph partial coloring (BGPC) and distance-2 graph coloring (D2GC) problems, which have various use-cases within the scientific computing and numerical optimization domains, the coloring overhead can be in the order of minutes with a single thread for many real-life *** this work, we propose parallel algorithms for bipartite-graph partial coloring on shared-memory architectures. Compared to the existing shared-memory BGPC algorithms, the proposed ones employ greedier and more optimistic techniques that yield a better parallel coloring performance. In particular, on 16 cores, the proposed algorithms are more than 4x faster than their counterparts in the ColPack library which is, to the best of our knowledge, the only publicly-available coloring library for multicore architectures. In addition to BGPC, the proposed techniques are employed to devise parallel distance-2 graph coloring algorithms and similar performance improvements have been observed. Finally, we propose two costless balancing heuristics for BGPC that can reduce the skewness and imbalance on the cardinality of color sets (almost) for free. the heuristics can also be used for the D2GC problem and in general, they will probably yield a better color-based parallelization performance especially on many-core architectures.

关键词： Color Image color analysis Libraries Multicore processing Bipartite graph parallel processing

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Recognizing military vehicles in social media images using deep learning 15

Recognizing military vehicles in social media images using d...

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15th IEEE international conference on Intelligence and Security Informatics - Security and Big Data (ISI)

作者： Hiippala, Tuomo Univ Helsinki Dept Geosci & Geog Digital Geog Lab Helsinki Finland

ISBN: (纸本)9781509067275

this paper presents a system that uses machine learning to recognize military vehicles in social media images. To do so, the system draws on recent advances in applying deep neural networks to computer vision tasks, while also making extensive use of openly available libraries, models and data. Training a vehicle recognition system over three classes, the paper reports on two experiments that use different architectures and strategies to overcome the challenges of working with limited training data: data augmentation and transfer learning. the results show that transfer learning outperforms data augmentation, achieving an average accuracy of 95.18% using 10-fold cross-validation, while also generalizing well on a separate testing set consisting of social media content.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Measuring Efficiency of Ant Colony Communities 10th

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10th international on conference Multimedia and Network Information Systems (MISSI)

作者： Sieminski, Andrzej Wroclaw Univ Sci & Technol Fac Comp Sci & Management Wroclaw Poland

ISBN: (纸本)9783319439822;9783319439815

the paper presents a study on the efficiency measures of the Ant Colony Communities (ACC). the ACC is an approach to parallelize the Ant Colony Optimization algorithm (ACO). An ACC is made up of a Community Server that coordinates the work of a set Ant Colony clients. Each client implements a classical ACO algorithm. the individual colonies work in an asynchronous manner processing data sent by server and sending back the obtained results. there are many possible locations for the clients: the same computer as the server, computers of a local or wide area network. the paper presents a detailed description of concept the ACC and reports the study of the efficiency of the such Communities. the efficiency is measured by their power (the amount of data processed in a given period of time) and scalability-the efficiency of adding colony clients on the Community. the paper contains also the taxonomy of parallel implementations of the Ant Colony.

关键词： Ant colony optimization Travelling salesman problem parallel implementations Sockets Task complexity ACC power ACC scalability

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