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8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2005

作者： Herrera, Luis Javier Pomares, Héctor Rojas, Ignacio Guillén, Alberto Awad, Mohammed Valenzuela, Olga University of Granada Department of Computer Architecture and Technology E.T.S. Computer Engineering 18071 Granada Spain

ISBN: (纸本)3540273263

This paper reviews and analyzes the performance of the TaSe-II model, carrying out a statistical comparison among different TSK fuzzy system configurations for function approximation. The TaSe-II model, using a special type of rule antecedents, utilizes the Taylor Series Expansion of a function around a point to provide interpretability to the local models in a TSK approximator using a low number of rules. Here we will review the TaSe model basics and endow it with a full learning algorithm for function approximation from a set of I/O data points. Finally we present an ANOVA analysis about the modification of the different blocks that intervene in a TSK fuzzy model whose results support the use of the TaSe-II model. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Fuzzy control

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BOFAR: Buffer occupancy factor based adaptive router for mesh NoCs

BOFAR: Buffer occupancy factor based adaptive router for mes...

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4th International Workshop on Network on Chip architectures, NoCArc 2011, in Conjunction with the 44th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO44

作者： Jose, John Shankar, J. Shiva Mahathi, K.V. Kumar, Damarla Kranthi Mutyam, Madhu Computer Architecture and Systems Laboratory Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai-36 India

ISBN: (纸本)9781450309479

If the route computation operation in an adaptive router returns more than one output channels, the selection strategy chooses one from them based on the congestion metric used. The effectiveness of a selection strategy depends on what metric is used to identify congestion and how precisely that metric captures the actual congestion. The number of cycles a flit stays in a router is a direct indication of the contention level of the output port it desires to move out. We propose buffer Occupancy Factor based Adaptive Router (BOFAR), wherein the history of cycles spent by flits in buffers is used as the congestion metric. BOFAR outperforms the baseline architectures built on minimal odd-even adaptive router model with conventional selection strategies like count of free downstream virtual channels at reachable neighbors, and fluidity of buffers in downstream neighbors. Our experiments on 4x4 mesh NoC with various synthetic traffic patterns show that BOFAR exceeds the performance of best baseline adaptive router with 21% average and 78% maximum latency reduction at saturation load. The reduced average packet latency, increased buffer fluidity fairness, and increased saturation point of BOFAR with minimal overhead in area, power, and wiring makes it a promising alternative to existing adaptive routers in mesh NoCs. © 2011 ACM.

关键词： Network-on-chip

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Way sharing set associative cache architecture

Way sharing set associative cache architecture

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25th International Conference on VLSI Design, VLSID 2012 and the 11th International Conference on Embedded Systems

作者： Janraj, C.J. Kalyan, T. Venkata Warrier, Tripti Mutyam, Madhu Computer Architecture and Systems Laboratory Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai 600036 India

ISBN: (纸本)9780769546384

In order to minimize the conflict miss rate, cache memories can be organized in set-associative manner. The downside of increasing the associativity is increase in the per access energy consumption. In conventional n-way set-associative caches, irrespective of the set-wise demand, each set has n cache ways at its disposal, but cache sets may exhibit nonuniform demand for these cache ways. Exploiting this property, we propose a novel cache architecture, called way sharing cache, wherein by allowing sharing of cache ways among a pair of cache sets, we obtain dynamic energy savings as high as 41% in DL1 cache with negligible performance penalty. © 2012 IEEE.

关键词： Energy conservation

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Big data-oriented energy prosumption service in smart community districts: a multi-case study perspective

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Energy Informatics 2019年第1期2卷 1-26页

作者： Anthony, Bokolo Petersen, Sobah Abbas Ahlers, Dirk Krogstie, John Livik, Klaus Department of Computer Science Norwegian University of Science and Technology NTNU TrondheimNO-7491 Norway Department of Architecture and Planning Norwegian University of Science and Technology Trondheim Norway Powel AS Klæbuveien 194 TrondheimNO-7037 Norway

The smart grid achieves bidirectional information and energy flow between energy consumer and utility grid, aiding energy users not only to utilize energy, but also to produce, sell, and share energy with other consumers or with the utility grid. This type of energy user is referred to as the "prosumer". Thus, prosumer management structures are important within energy market. However, prior studies on energy sustainability has paid little attention on prosumer involvement and management. Likewise, the continuous growth of cities has increased data processing complexity. Consequently, processing and analysis of historical, online, and real-time streaming data from energy sensors and metering devices has become a major issue in smart cities. Therefore, this research aims to present an architecture based on big data to improve energy prosumption in smart community districts by applying enterprise architecture approach grounded on The Open Group architecture Framework (TOGAF). Accordingly, qualitative methodology is adopted to collect data by employing case study by focus group interview from two energy companies in Norway to preliminarily validate the architecture. Findings from the case studies was demonstrated in ArchiMate modeling language to evaluate the applicability of the architecture. Moreover, findings from this study provides practical scenario that energy service providers can refer to in designing their own energy data platforms. Essentially, the architecture can be utilized as a guide to help municipalities and policy makers in creating approach for energy data analytics in smart community districts towards making decisions for future energy prosumption planning. © 2019, The Author(s).

关键词： Big data

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License plate detection based on genetic neural networks, morphology, and active contours

License plate detection based on genetic neural networks, mo...

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Lecture Notes in computer Science

作者： Olivares, Joaquín Palomares, José M. Soto, José M. Gámez, Juan Carlos Department of Computer Architecture Electronics and Electronic Technology University of Córdoba Córdoba Spain

ISBN: (纸本)3642130321

This paper describes a new method for License Plate Detection based on Genetic Neural Networks, Morphology, and Active Contours. Given an image is divided into several virtual regions sized 10×10 pixels, applying several performance algorithms within each virtual region, algorithms such as edge detection, histograms, and binary thresholding, etc. These results are used as inputs for a Genetic Neural Network, which provides the initial selection for the probable situation of the license plate. Further refinement is applied using active contours to fit the output tightly to the license plate. With a small and well-chosen subset of images, the system is able to deal with a large variety of images with real-world characteristics obtaining great precision in the detection. The effectiveness for the proposed method is very high (97%). This method will be the first stage of a surveillance system which takes into account not only the actual license plate but also the model of the car to determine if a car should be taken as a threat. © 2010 Springer-Verlag.

关键词： Edge detection

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An Intelligent Optimization Method of Reinforcing Bar Cutting for Construction Site

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computer Modeling in Engineering & Sciences 2023年第1期134卷 637-655页

作者： Zhaoxi Ma Qin Zhao Tianyou Cang Zongjian Li Yiyun Zhu Xinhong Hei Department of Civil Engineering and Architecture Xi’an University of TechnologyXi’an710048China State Key Laboratory of Rail Transit Engineering Informatization(FSDI) Xi’an710043China Department of Computer Science and Engineering Xi’an University of TechnologyXi’an710048China

To meet the requirements of specifications,intelligent optimization of steel bar blanking can improve resource utilization and promote the intelligent development of sustainable *** one of the most important building materials in construction engineering,reinforcing bars(rebar)account for more than 30%of the cost in civil engineering.A significant amount of cutting waste is generated during the construction *** cutting waste increases construction costs and generates a considerable amount of CO_(2)*** study aimed to develop an optimization algorithm for steel bar blanking that can be used in the intelligent optimization of steel bar engineering to realize sustainable *** the proposed algorithm,the integer linear programming algorithm was applied to solve the *** was combined with the statistical method,a greedy strategy was introduced,and a method for determining the dynamic critical threshold was developed to ensure the accuracy of large-scale data *** proposed algorithm was verified through a case study;the results confirmed that the rebar loss rate of the proposed method was reduced by 9.124%compared with that of traditional distributed processing of steel bars,reducing CO_(2)emissions and saving construction *** the scale of a project increases,the calculation quality of the optimization algorithmfor steel bar blanking proposed also increases,while maintaining high calculation *** the results of this study are applied in practice,they can be used as a sustainable foundation for building informatization and intelligent development.

关键词： Building construction rebar work cutting stock problem optimization algorithm integer linear programming

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Collection and Storage of Technological Data in Multi-Channel CNC Processing Using a Non-Relational Database and Node-RED

Collection and Storage of Technological Data in Multi-Channe...

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2023 International Russian Automation Conference, RusAutoCon 2023

作者： Martinov, Georgi Polyakov, Kirill Moscow State University of Technology "STANKIN" Department of Computer-Architecture Control Systems Moscow Russia

ISBN: (纸本)9798350345551

This article contemplates the problem of collecting and storing technological data during multichannel and multi - coordinate machining on CNC machines obtained using the OPC UA protocol and applying Node-RED open-source instrumentation. A structural model of obtaining, visualizing and storing technological data in multichannel and multi - coordinate machining is proposed in this research. The necessary nodes for Collection and storage of technological data in multi-channel CNC processing are implemented and configured. The researchers illustrated practical aspects of building a system for collecting and storing technological data in multichannel machining using the OPC UA protocol and applying Node-RED open-source tools and a non-relational MongoDB database. © 2023 IEEE.

关键词： Digital storage

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Use of CMOS technology in wave pipelining 5

Use of CMOS technology in wave pipelining

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5th International Conference on VLSI Design, ICVD 1992

作者： Klass, F. Mulder, J.M. Section Computer Architecture and Digital Systems Department of Electrical Engineering Delft University of Technology Netherlands

ISBN: (纸本)0818624655

Wave pipelining is a technique for pipelining digital systems that can increase the clock frequency without increasing the number of storage elements. This is achieved by clocking the system faster than the propagation delay between storage elements. The design of such systems is more difficult because all paths in the combinational logic must have about equal delay. To implement wave pipelining, some technologies seem to be better than others depending on the delay properties. Static CMOS has the disadvantage of pattern-dependent delay variations. This papers discusses the issues concerning the implementation of wave pipelining using CMOS technology. The maximum pipeline rate for a wave-pipelined circuit is calculated under data-dependent delay constraints. Bounding parameters to the system performance are provided. © 1991 IEEE.

关键词： Pipelines

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Using Convolutional Neural Networks for Muon detection in WCD tank 4

Using Convolutional Neural Networks for Muon detection in WC...

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4th International Conference on Applied Physics, Simulation and Computing, APSAC 2020

作者： González, B.S. Conceio, R. Tomé, B. Pimenta, M. Herrera, L.J. Guillen, A. Computer Architecture and Technology Department University of Granada Granada Spain LIP/IST Lisbon Portugal

The aim of this paper is to study the possibility of improving the gamma/hadron discrimination in extensive air showers. For this purpose, the identification of hadronic extensive air showers is carried out by means of the detection of muons in water Cherenkov detectors (WCDs). Machine learning algorithms have proven to be useful in a wide variety of fields, and due to their outstanding performance in problems involving complex data, Convolutional Neural Networks (CNNs) have been used in the analysis of the signals measured by the WCDs. Taking simulated events, different approaches were proposed attending to the balance of the classes in the training stage. The results obtained are promising and show that machine learning algorithms provide a powerful tool for muon detection and gamma/hadron discrimination to be considered in future gamma-rays detectors like The Southern Wide-field Gamma-ray Observatory (SWGO) to be built in South America. © Published under licence by IOP Publishing Ltd.

关键词： Cosmology

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Development and Use of OPC UA Tools for Data Collection and Monitoring of Technological Equipment

Development and Use of OPC UA Tools for Data Collection and ...

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2023 International Russian Smart Industry Conference, SmartIndustryCon 2023

作者： Martinov, Georgi Al Khoury, Akram Issa, Ahed Moscow State University of Technology STANKIN Department of Computer-Architecture Control Systems Moscow Russia

ISBN: (纸本)9781665464291

The aim of this research is to develop a specialized system for collecting and storing CNC machines data considering the possibilities of innovative technologies of OPC UA protocol, in this work an OPC UA information model was proposed and realized in OPC UA server which reflects the logical structure of a CNC machine. This research will present a collecting data method from the digital shadow of CNC system where a complete set of parameters hierarchically structured and transmit the whole set of these parameters through the OPC UA server to production data collection cloud for performing subsequent analyzing, forecasting the state of technological equipment and performing simulation procedures. © 2023 IEEE.

关键词： Data acquisition

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