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检索条件"机构=Dept. of Computer Architecture and Parallel Systems"

共 98 条记录，以下是41-50 订阅

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AN AMPLITUDE SPECTRAL CAPON ESTIMATOR WITH A VARIABLE FILTER LENGTH

AN AMPLITUDE SPECTRAL CAPON ESTIMATOR WITH A VARIABLE FILTER...

引用

European Signal Processing Conference

作者： Jesper Kjaer Nielseny Paris Smaragdis Mads Graesboll Christensen Soren Holdt Jensen Aalborg University Dept. of Electronic Systems University of Illinois at Urbana-Champaign Dept. of Computer Science Aalborg University Dept. of Architecture Design & Media Technology

ISBN: (纸本)9781467310680

The filter bank methods have been a popular non-parametric way of computing the complex amplitude spectrum. So far, the length of the filters in these filter banks has been set to some constant value independently of the data. In this paper, we take the first step towards considering the filter length as an unknown parameter. Specifically, we derive a very simple and approximate way of determining the optimal filter length in a data-adaptive way. Based on this analysis, we also derive a model averaged version of the forward and the forward-backward amplitude spectral Capon estimators. Through simulations, we show that these estimators significantly improve the estimation accuracy compared to the traditional Capon estimators.

关键词： Filter Bank Methods Capon Spectral Estimation Filters Filter banks Estimators Amplitude NOS1AP gene capon First Step amplitude spectrum

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Applications of Evolutionary Computing 1

引用

丛书名： Lecture Notes in computer Science

1000年

作者： Stefano Cagnoni Colin G. Johnson Juan J. Romero Cardalda Elena Marchiori David W. Corne Jean-Arcady Meyer Agnès Guillot Jens Gottlieb Martin Middendorf Günther R. Raidl Emma Hart

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Applying LSTM for River's Water Level Forecasting as Potential Flood Indication: A Case Study in Greece

Applying LSTM for River's Water Level Forecasting as Potenti...

引用

International Conference on Information, Intelligence, systems and Applications (IISA)

作者： Theodoros Tziolas Elpiniki Papageorgiou Konstantinos Papageorgiou Georgios Zardas Alexios Lekidis Papazoglou Panagiotis Dept. of Energy Systems University of Thessaly Gaiopolis Campus Larisa Greece Dept. of Electrical and Computer Engineering University of Thessaly Volos Greece Dept. of Architecture and Computer and Communication Simulation Systems National and Kapodistrian University of Athens Chalkida Greece

ISBN: (数字)9798350368833

ISBN: (纸本)9798350368840

Floods can have significant life-threatening and economic impacts on human societies. Flood forecasting with data-driven methods is a crucial aspect of disaster risk management, providing valuable insights into potential flood events and allowing for timely mitigation measures. This work illustrates the application of a Long Short-Term Memory (LSTM) neural network for short-term forecasting of a river's water level. The water treatment data used for training the LSTM models were gathered from Sperchios river, located in central Greece. Historical time-series data in a half-hour interval of the river's water level, water velocity, and area precipitation were utilized for the development of the proposed scheme. The developed model is deployed in the backend of a web application for half-hour ahead predictions of the river's water level that are visualized in the frontend. The post-analysis of the deployed forecasting model indicates that it consistently delivers forecasts with minimal error and demonstrates high accuracy in recent flood events.

关键词： Training Precipitation Biological system modeling Prevention and mitigation Neural networks Predictive models Rivers Floods Forecasting Long short term memory

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CIGO! Mobility management platform for growing efficient and balanced smart city ecosystem

CIGO! Mobility management platform for growing efficient and...

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IEEE International Smart Cities Conference (ISC2)

作者： Petar Mrazovic Ivan De La Rubia Jordi Urmeneta Carlos Balufo Ricard Tapias Mihhail Matskin Josep L. Larriba-Pey Dept. of Software and Computer Systems Royal Institue of Technology Stockholm Sweden Dept. of Computer Architecture Polytechnic University of Catalonia Barcelona Spain Sparsity Technologies Barcelona Spain

ISBN: (纸本)9781509018475

The massive amount of tourists, citizens and traffic in big cities usually collapse busy areas causing transport inefficiency, unbalanced economic growth, crime, and nuisance among citizens and visitors. Therefore, the Smart City strategies such as Smart Mobility and Smart Governance naturally arise as means to improve mobility in urban areas. In this paper we propose a novel mobility management platform and business model that can attract numerous actors and still be orchestrated by the city government. The proposed platform integrates mobility data from various sources such as Open Data, mobile applications, sensors and government data, allowing for its visualisation and analysis while making it actionable through associated third party mobile applications. We propose to inject the city mobility policies to the third party mobile applications which provide services related to the city resources. In this way we form a value chain which connects different actors (city governments, mobile application providers, POI owners, companies that require logistics in cities, and final users) who both take a part in improving the mobility in urban areas, and benefit from the way mobility policies being executed. In this paper we discuss the business model and logical architecture of the proposed platform which has been already deployed in the city of Barcelona.

关键词： Urban areas Government Mobile applications Companies Mobile radio mobility management

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A parallel debugger with support for distributed arrays, multiple executables and dynamic processes 6th

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6th International Conference on Compiler Construction, CC 1996

作者： Fritzson, Peter Wismüller, Roland Hansen, Olav Sala, Jonas Skov, Peter PELAB Dept. of Computer and Information Science Linköping University LinköpingS-581 83 Germany Department of Computer Science University of Technology MunichMünchenD-802 90 Germany Parsytec Gmbh Jülicher Strasse 338 AachenD-52070 Germany Parallel Systems Dalvägen 8 SolnaS-171 23 Sweden

ISBN: (纸本)9783540610533

In this paper we present the parallel debugger DETOP with special emphasis on new support for debugging of programs with distributed data structures such as arrays that have been partitioned over a number of processors. The new array visualizer within DETOP supports transparent browsing and visualization of distributed arrays which occur in languages such as High Performance Fortran. Visualization of sparse arrays is supported through an array mapper facility, as well as transparent visualization of arrays which have been partitioned by hand for applications in C or Fortran77. Color coding makes the visualization more expressive and easier to read. DETOP provides a graphical user interface that is simple to use even for inexperienced users and supports not only static data parallel programs, but also dynamic programs and parallel applications based on functional decomposition. The combination of support for applications that include dynamic process creation, multiple executables, processes and threads, and distributed data structures, makes DETOP rather unique among parallel debuggers. DETOP has been implemented for Parsytec PowerPC based multicomputers with Sparcstation frontends. Ongoing efforts include portable versions of DETOP for PVM and MPI run-time environments. © Springer-Verlag Berlin Heidelberg 1996.

关键词： Visualization

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An ARQ-Based Cooperative Relaying Scheme for 5G IoT Slice

An ARQ-Based Cooperative Relaying Scheme for 5G IoT Slice

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2019 IEEE Global Conference on Internet of Things, GCIoT 2019

作者： Otaru, Musa Ajiya, Mohammed Adinoyi, Abdulkareem Aljlayl, Mohammed Yanikomeroglu, Halim Telecommunications Services Nigerian Communications Satellite Ltd Abuja Nigeria Bayero University Department of Electrical Engineering Kano Nigeria Technology Enterprise Architecture Saudi Telecommunications Company Saudi Arabia Carleton University Dept. of Systems and Computer Engineering Ottawa Canada

ISBN: (纸本)9781728148731

We introduce a new twist to the classical automatic repeat request (ARQ)-based cooperative relaying scheme. Here, we target a 5G slice for offering internet-of-things (IoT)-inspired services. In this 5G application segment (e.g., utility or smart metering), utility sensors or devices are expected to last for decades and, operate on tight power budgets, and the system can tolerate periodic stops to check the fidelity of previous transmissions. For this scenario, we employ a service provider-deployed relay that alleviates the IoT devices of their communication burdens. The source transmits for a certain time window or period without requiring acknowledgments (ACK) from the destination. At the end of this window, the destination sends an ACK. If negative, the relay is expected to assist. Thus, the relay transmits only intermittently, in either one transmission time slot or a few time slots, using a suitably chosen higherorder modulation constellation. If no error occurs, the source continues its transmission. The numerical results show that with just a few antennas at the relay, the new scheme provides both a reduction in the number of ARQ transmissions and a superior probability of bit error compared with a reference scheme. We adopt the two-parameter Weibull fading model to evaluate the performance of the proposed scheme. © 2019 IEEE.

关键词： Internet of things

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An implementation of a barotropic numerical weather prediction model in the functional language SISAL 90

An implementation of a barotropic numerical weather predicti...

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2nd ACM SIGPLAN Symposium on Principles and Practice of parallel Programming, PPOPP 1990

作者： Chang, Pau S. Egan, Gregory K. Jt. Roy. Melbourne Inst. of Technol. and Cmw. Scientific and Industrial Research Organisation Parallel Systems Architecture Project Australia Royal Melbourne Institute of Technology Dept of Communication and Electrical Engineering 124 La Trobe St. Melbourne3000 Australia Department of Computer Systems Engineering Swinburne Institute of Technology School of Electrical Engineering John Street Hawthorn3122 Australia

ISBN: (纸本)0897913507

Numerical Weather Prediction (NWP) is acknowledged as being of vital importance to economy. The demand that NWP places on computing system performance has increased dramatically since the introduction of computer systems and is siili growing. This paper describes the implementation of a one-level barotropic spectral NWP model using the high level functional language SISAL. Our initial approach was a direct transliteration from FORTRAN to SISAL, the result of which was a large amount of array copying and loss of parallelism. The algorithm of the model was then rearranged to enable effective exploitation of parallelism by an optimising SISAL compiler. The parallel implementation technique and its potential for modeling with larger model sizes are discussed, and the improved results for an Encore Multimax multiprocessor are presented. © 1990 ACM.

关键词： High level languages

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Dynamic Adaptation Gain Design and Tuning for Threat Discrimination 63

Dynamic Adaptation Gain Design and Tuning for Threat Discrim...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Zhang, Kangkang Chen, Kaiwen Polycarpou, Marios M. Parisini, Thomas University of Cyprus Kios Research and Innovation Center of Excellence Dept. of Electrical and Computer Engineering Nicosia1678 Cyprus Imperial College London Dept. of Electrical and Electronic Engineering LondonSW7 2AZ United Kingdom Aalborg University Department of Electronic Systems Denmark University of Trieste Department of Engineering and Architecture Italy

ISBN: (纸本)9798350316339

Considering potential threats to cyber-physical systems such as component faults and stealthy cyber-attacks, an adaptive observer-based threat discrimination method is proposed for identifying the occurring threat type. Typically, stealthy attacks have only weak effects easily obscured by disturbances on the system outputs. To solve this problem, a parameter adaptation algorithm based on a newly designed dynamic adaptive gain generator is proposed, aiming at improving the sensitivity of the adaptive threat discrimination scheme to potential threats. Only the strictly positive real condition of the proposed gain generator sufficiently ensures the stability of the adaptive observer error system. A moment-matching method is then developed to determine the proper parameters of the gain generator, allowing for the improvement of the sensitivity of the threat discriminators. A numerical example to demonstrate the effectiveness of the proposed methodology is presented. © 2024 IEEE.

关键词： Cyber attacks

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Understanding and Predicting Trends in Urban Freight Transport

Understanding and Predicting Trends in Urban Freight Transpo...

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International Conference on Mobile Data Management

作者： Petar Mrazovic Bahaeddin Eravci Josep Lluis Larriba-Pey Hakan Ferhatosmanoglu Mihhail Matskin Dept. of Software and Computer Systems Royal Institute of Technology Stockholm Sweden Dept. of Computer Engineering Bilkent University Ankara Turkey Dept. of Computer Architecture Polytechnic University of Catalonia Barcelona Spain Max Planck Institute for Informatics Saarbruecken Germany

ISBN: (纸本)9781538639337

Among different components of urban mobility, urban freight transport is usually considered as the least sustainable. Limited traffic infrastructures and increasing demands in dense urban regions lead to frequent delivery runs with smaller freight vehicles. This increases the traffic in urban areas and has negative impacts upon the quality of life in urban populations. Data driven optimizations are essential to better utilize existing urban transport infrastructures and to reduce the negative effects of freight deliveries for the cities. However, there is limited work and data driven research on urban delivery areas and freight transportation networks. In this paper, we collect and analyse data on urban freight deliveries and parking areas towards an optimized urban freight transportation system. Using a new check-in based mobile parking system for freight vehicles, we aim to understand and optimize freight distribution processes. We explore the relationship between areas' availability patterns and underlying traffic behaviour in order to understand the trends in urban freight transport. By applying the detected patterns we predict the availabilities of loading/unloading areas, and thus open up new possibilities for delivery route planning and better managing of freight transport infrastructures.

关键词： Loading Urban areas Mobile communication Market research Mobile applications Sociology Statistics

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A technique for low power, stuck-at fault diagnosable and reconfigurable scan architecture

A technique for low power, stuck-at fault diagnosable and re...

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East-West Design & Test Symposium (EWDTS)

作者： Binod Kumar Boda Nehru Brajesh Pandey Virendra Singh Jaynarayan Tudu Computer Architecture and Dependable Systems Lab (CADSL) Indian Institute of Technology Bombay India Dept. of Computer Science and Automation Indian Institute of Science Bangalore

ISBN: (纸本)9781509006946

Power dissipation is a major issue with testing of designs having full scan architectures. The proposed scan technique minimizes toggle activity while scanning in test patterns. The method uses bit inversion technique to avoid toggles in scan flip-flops. The setup is dynamically configurable to one among the logic reversal structure and traditional scan while shift-in/shift-out of test patterns. Experimental results indicate that the average toggle activity is minimized substantially compared to California Scan architecture. It has features of full diagnosability of single stuck-at faults along the scan chain path.

关键词： computer architecture Silicon Circuit faults Testing Logic gates Inverters Clocks

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