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GPU4S: Embedded GPUs in Space

GPU4S: Embedded GPUs in Space

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Euromicro Symposium on Digital System Design

作者： Leonidas Kosmidis Jérôme Lachaize Jaume Abella Olivier Notebaert Francisco J. Cazorla David Steenari Barcelona Supercomputing Center (BSC) Spain Airbus Defence and Space France European Space Agency The Netherlands

ISBN: (纸本)9781728128634

Following the same trend of automotive and avionics, the space domain is witnessing an increase in the on-board computing performance demands. This raise in performance needs comes from both control and payload parts of the spacecraft and calls for advanced electronics able to provide high computational power under the constraints of the harsh space environment. On the non-technical side, for strategic reasons it is mandatory to get European independence on the used computing technology. In this project, which is still in its early phases, we study the applicability of embedded GPUs in space, which have shown a dramatic improvement of their performance per-watt ratio coming from their proliferation in consumer markets based on competitive European technology. To that end, we perform an analysis of the existing space application domains to identify which software domains can benefit from their use. Moreover, we survey the embedded GPU domain in order to assess whether embedded GPUs can provide the required computational power and identify the challenges which need to be addressed for their adoption in space. In this paper, we describe the steps to be followed in the project, as well as the results of our preliminary analyses in the first months of the project.

关键词： Graphics processing units Space missions Performance evaluation signal processing algorithms Space vehicles Aerospace electronics

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Interactive Crowdsourcing to Spontaneous Reporting of Adverse Drug Reactions

Interactive Crowdsourcing to Spontaneous Reporting of Advers...

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IEEE International conference on Communications

作者： Chao Chen Yining Huang Yi Liu Chengdong Liu Lingchao Meng Yunchuang Sun Kaigui Bian Anpeng Huang Xiaohui Duan Bingli Jiao Center for Wireless Communications and Signal Processing Peking University Beijing China Peking University First Hospital Beijing China Peking University Beijing Beijing CN School of EECS Peking University Beijing China State Key Lab of Advanced Optical Communication Systems and Networks Peking University Beijing China

Adverse Drug Reactions (ADRs) has become a worldwide problem that draws the attention of people from all racial and ethnic groups. The number of deaths caused by ADRs has greatly increased and led to many drug withdrawals in the last decades. Recent research findings indicate that most ADRs can be effectively prevented to some extent by using computer-aided information technologies. Though many spontaneous reporting systems (SRSs) have been built to enhance the pharma-covigilance, the ADRs data is still very sparse because the large amount of reports obtained from consumers contains insufficient hints to identify a possible causal relationship between an adverse event and drug. Based on this motivation, we developed Adverse-Tracking, a spontaneous reporting system of ADRs via crowd-sourcing. Our proposed system interacts with consumers through a Q&A interface and collects the ADR reports. The decision tree support vector machine (DTSVM) based on the genetic algorithm is used in our system to automate the Q&A procedure. We carried out experiments to evaluate the performance at Peking University First Hospital. As demonstrated by the results, our system is an efficient tool to track and discover adverse events in the consumers' reports of ADRs, which facilitates the detection of "signal".

关键词： Knowledge based systems Drugs Decision trees signal detection Genetic algorithms Biological cells

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Overhead Power Line Detection from UAV Video Images

Overhead Power Line Detection from UAV Video Images

引用

International conference on Mechatronics and Machine Vision in Practice

作者： Tang Wen YANG Hang YIN Qiu Qi RUAN Jian Da HAN Jun Tong QI Qing YONG Zi Tong WANG Zeng Qi SUN Beijing Key Laboratory of Advanced Information Science and Network Technology Institute of Information Science Beijing Jiaotong University Beijing 100044 China Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China State Key Laboratory of Robotics Shenyang Institute of Automation CAS Shenyang 110016 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9781467316439

Currently, unmanned aerial vehicles (UAVs) are applied to routine inspection tasks of electric distribution networks. As an important information source, machine vision attracts much attention in the area of the UAV's autonomous control. To this end, real-time algorithms are studied-in this paper to detect the power lines in the UAV video images. First, video images are converted into binary images through an adaptive thresholding approach. Then, Hough Transform is used to detect line candidates in the binary images. Finally, a fuzzy C- means (FCM) clustering algorithm is used to discriminate the power lines from the detected line candidates. The properties of power lines are used to remove the spurious lines, and the length and slope of the detected lines are used as features to establish the clustering data set. Experimental results show that the algorithms proposed are effective and able to tolerate noises from complicated terrain background and various illuminations.

关键词： Hough transforms autonomous aerial vehicles computer vision fuzzy set theory pattern clustering power overhead lines power system control video signal processing

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UAV Swarm Trajectory and Cooperative Beamforming Design in Double-IRS Assisted Wireless Communications

UAV Swarm Trajectory and Cooperative Beamforming Design in D...

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International conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Yangzhe Liao Shuang Xia Ke Zhang Xiaojun Zhai School of Information Engineering Wuhan University of Technology Wuhan China School of Computer Science and Electronic Engineering University of Essex Colchester UK

Non-terrestrial communications have emerged as a technological enabler for seamless connectivity and ubiquitous computation services in the upcoming beyond fifth generation (B5G) and sixth generation (6G) networks. However, there exist numerous practical technical limitations, such as high deployment cost, massive energy consumption, high probability of information transmission blockage and dynamic propagation environments and so forth. Thanks to the rapid developments of meta-materials, the cost-effective and energy-efficiency intelligent reconfigurable surface (IRS) has been globally recognized as a revolutionized technology to construct smart radio environments. In this paper, a novel double-IRS assisted unmanned aerial vehicles (UAV)-swarm-enabled communication network architecture is proposed, where two UAV swarms are integrated with the main IRS reflector and subreflector, respectively. The energy minimization problem of UAV swarm carried main IRS is formulated, subject to a list of quality of service (QoS) constraints. To tackle the formulated challenging problem, we first decouple the original problem into two subproblems. Then, a heuristic algorithm is proposed, where the enhanced differential evolution (DE) algorithm is proposed to optimize the UAV swarm trajectory and the alternate optimization algorithm is utilized to optimize the cooperative reflect beamforming vector. Numerical results validate that the proposed algorithm outperforms several selected advanced algorithms regarding UAV swarm energy consumption. Moreover, the network performance under the different number of IRS elements is investigated.

关键词： Energy consumption Array signal processing Heuristic algorithms Quality of service Computer architecture Autonomous aerial vehicles Minimization

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Concept and Development of Modular VLIW Processor Based on FPGA

Concept and Development of Modular VLIW Processor Based on F...

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International conference on Computer and Network Technology (ICCNT)

作者： Debyo Saptono Vincent Brost Fan Yang Eri Prasetyo Wibowo LE2I-CNRS 5158 Laboratory University of Burgundy Dijon France Faculty of Computer Science University of Gunadarma Jakarta Indonesia

ISBN: (纸本)9781424469611

Modern FPGA chips, with their larger memory capacity and reconfigurability potential, are opening new frontiers in rapid prototyping of embedded systems. With the advent of high density FPGAs it is now possible to implement a high performance VLIW processor core in an FPGA. Architecture based on Very Long Instruction Word (VLIW) processors are an optimal choice in the attempt to obtain high performance level in embedded system. In VLIW architecture, the effectiveness of these processors depends on the ability of compilers to provide sufficient instruction level parallelism(ILP) in program code. Using advanced compiler technology could take these functions, This paper describes research result about enabling the DSP TMS320 C6201 model that be described with machine description language (MDES) in compiler technology for image processing applications by exploiting FPGA technology and assembly code that be more known as Lcode would be generated by the compiler depends on MDES given when running the compiler. We present a DSP C6201 VHDL from MDES definition with VLIW architecture model using compiler technology. We call this new development as Modified Minimum Mandatory Modules (M4) approach that be derived from M3 methodology. Our goals are to keep the flexibility of DSP in order to shorten the development cycle. Our results demonstrate that an algorithm can easily, in an optimal manner, specified and then converted to VHDL language and implemented on an FPGA device with system level software. This makes our approach suitable for developing co-design environments. Our approach applies some criteria for co-design tools : flexibility modularity, performance, and reusability.

关键词： VLIW Field programmable gate arrays Digital signal processing Embedded system Prototypes Program processors Image processing Assembly Software algorithms Software systems

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A selection beamforming algorithm combined with the spatial equalizer for the VSB DTV receiver system

A selection beamforming algorithm combined with the spatial ...

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IEEE conference on Vehicular Technology (VTC)

作者： Jaehyun Park Joohwan Chun Jae-Hwui Bae Seung Won Kim Scientific Computing Lab Department of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology Daejeon South Korea Electronics and Telecommunications Research Institute Daejeon South Korea

ISBN: (纸本)0780385217

The paper proposes a new digital beamforming algorithm for vestigial sideband (VSB) based digital TV receivers. We consider a selection beamforming (SBF) algorithm combined with a spatial equalizer. To realize this, we make fixed beams for the SBF. We then select several beams which satisfy some criteria. We put them into the spatial equalizer. In the SBF, we mitigate the effect of multipath. This helps the synchronizer operating in the channel where the multipath signals are strong. To reduce the multipath component, which still exists in the beams due to the beam-pattern sidelobe, we choose some beams and combine them based on the least mean squares algorithm. To apply this algorithm, we have developed a simple VSB system simulator including VSB modulator. synchronizers, and an equalizer. We show that the proposed algorithms can improve the overall system performance, matching with other parts in the simulation.

关键词： Array signal processing Equalizers Digital TV Receiving antennas TV receivers Digital modulation AWGN Telephony Optical modulation Demodulation

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Predicting traffic speed in urban transportation subnetworks for multiple horizons

Predicting traffic speed in urban transportation subnetworks...

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International conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Justin Dauwels Aamer Aslam Muhammad Tayyab Asif Xinyue Zhao Nikola Mitro Vie Andrzej Cichocki Patrick Jaillet School of Electrical and Electronic Engineering Nanyang Technological University Singapore Nanyang Technological University Singapore Singapore SG Laboratory for Advanced Brain Signal Processing RIKEN Saitama Japan Laboratory for Information and Decision Systems MIT Cambridge MA Center for Future Urban Mobility Singapore-MIT Alliance for Research and Technology Singapore

Traffic forecasting is increasingly taking on an important role in many intelligent transportation systems (ITS) applications. However, prediction is typically performed for individual road segments and prediction horizons. In this study, we focus on the problem of collective prediction for multiple road segments and prediction-horizons. To this end, we develop various matrix and tensor based models by applying partial least squares (PLS), higher order partial least squares (HO-PLS) and N-way partial least squares (N-PLS). These models can simultaneously forecast traffic conditions for multiple road segments and prediction-horizons. Moreover, they can also perform the task of feature selection efficiently. We analyze the performance of these models by performing multi-horizon prediction for an urban subnetwork in Singapore.

关键词： Roads Predictive models Tensile stress Vectors Matrix decomposition Feature extraction Prediction algorithms

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Development of Realistic Numerical Brain Model Based on MRIs for Microwave Brain Stroke Detection

Development of Realistic Numerical Brain Model Based on MRIs...

引用

International conference on Electronic Measurement and Instruments, ICEMI

作者： Ping Han Ziyu Liu Qinwei Li Ming Yu Rongnan Zhao Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin China Institute of Medical Support Technology Institute of Systems Engineering Academy of Military Sciences Tianjin China Yingkou Jucheng Development Ltd. of teaching Yingkou China

ISBN: (纸本)9781665444927

In this paper, a two-dimensional truth-oriented brain model is proposed for imaging simulation of wearable stroke detection devices. Stroke detection based on ultra-wideband microwave imaging is a new detection method, which is portable, fast and safe. Wearable detection equipment is an important development direction of ultra-wideband microwave imaging for stroke. By analyzing the electromagnetic characteristics of the brain tissue at different frequencies, the electromagnetic parameters of the brain tissue were determined, and the real human brain MRI images were used for analysis and modeling. Compared to previous simple brain model, this model can more truly reflect the internal structure of human brain, and provide a more accurate experimental platform for various imaging simulation algorithms. Finally, the delay confocal algorithm was used to reconstruct the brain image. In the imaging results, the bleeding spots with a diameter of 6 mm in the brain is clearly identified.

关键词： Microwave integrated circuits Magnetic resonance imaging Imaging Microwave devices Brain modeling Numerical models Microwave FET integrated circuits

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RIS-Assisted Secure Transmission Exploiting Statistical CSI of Eavesdropper

RIS-Assisted Secure Transmission Exploiting Statistical CSI ...

引用

2021 IEEE Global Communications conference (GLOBECOM)

作者： Cen Liu Chang Tian Peixi Liu State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing China

ISBN: (纸本)9781728181059

We investigate the reconfigurable intelligent surface (RIS) assisted downlink secure transmission where only the statistical channel of eavesdropper is available. To handle the stochastic ergodic secrecy rate (ESR) maximization problem, a deterministic lower bound of ESR (LESR) is derived. We aim to maximize the LESR by jointly designing the transmit beamforming at the access point (AP) and reflect beamforming by the phase shifts at the RIS. To solve the non-convex LESR maximization problem, we develop a novel penalty dual convex approximation (PDCA) algorithm based on the penalty dual decomposition (PDD) optimization framework, where the exacting constraints are penalized and dualized into the objective function as augmented Lagrangian components. The proposed PDCA algorithm performs double-loop iterations, i.e., the inner loop resorts to the block successive convex approximation (BSCA) to update the optimization variables; while the outer loop adjusts the Lagrange multipliers and penalty parameter of the augmented Lagrangian cost function. The convergence to a Karush-Kuhn-Tucker (KKT) solution is theoretically guaranteed with low computational complexity. Simulation results show that the proposed PDCA scheme is better than the commonly adopted alternating optimization (AO) scheme with the knowledge of statistical channel of eavesdropper.

关键词： Array signal processing Simulation Reconfigurable intelligent surfaces Approximation algorithms Linear programming Downlink Cost function

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Design of FIR/IIR lattice filters using the circulant matrix factorization

Design of FIR/IIR lattice filters using the circulant matrix...

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OCEANS

作者： Jinho Bae Joohwan Chun Taekshik Jeong Beobmo Gu Sang Tae Kim Technical Research Institute Daeyang Electric Company Limited busan South Korea Scientific Computing Laboratory Department of EECS Korea Advanced Institute of Science and Technology Taejon South Korea Korea Institute of Industrial Technology Evaluation and Planning Seoul South Korea

We propose the methods to design the finite impulse response (FIR) and the infinite impulse response (IIR) lattice filters using Schur's (1917) algorithm through the spectral factorization of the covariance matrix by circulant matrix factorization. Circulant matrix factorization is also very powerful tool used for spectral factorization of the covariance polynomial in matrix domain to obtain the minimum phase polynomial without the polynomial root finding problem. The Schur algorithm is a method for fast Cholesky factorization of the Toeplitz matrix, which easily determines the lattice filter parameters. Examples for the case of the FIR filter and for the IIR filter are included, and the performance of our method is checked by comparison with other methods (polynomial root finding and cepstral deconvolution).

关键词： Finite impulse response filter Lattices IIR filters signal processing algorithms Covariance matrix Polynomials Optical filters Transfer functions Algorithm design and analysis Cepstral analysis

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