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A new parallel scheduling system for multiple radio wireless mesh network

中国高等学校学术文摘·计算机科学 2009年第4期3卷 550-559页

作者： Yun HU Shoubao YANG Qi ZHANG Dapeng WANG Qinwei SHEN Department of Computer Science University of Science and Technology of ChinaHefei 230026China Department of Computer Science University of Science and Technology of ChinaHefei 230026China Department of Computer Engineering Anhui University of ArchitectureHefei 230022China

To enhance the capacity of wireless mesh networks,a key technique is widely investigated which is the usage of multi-radio and multi-channel *** this paper,a new parallel scheduling system is proposed which exploits MAC diversities by transmitting packets on the radios *** with conventional packet transmission which follows 'one flow one radio',the new system uses radio diversity to transmit the packets on different radios *** kernel components of this system are selection module and schedule module.A localized selecting algorithm is implemented in the selection model to choose the right radios based on the quality of wireless links; two distributed packet-scheduling algorithms are optional with the schedule ***,a routing metric adapting this system is *** have carried out a comprehensive performance evaluation of this system using *** results show that it can successfully harness diversity of multi-radio and multi-channel to provide considerable improvements over a baseline multi-channel system in several situations.

关键词： wireless mesh network diversity parallel scheduling algorithm

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IEEE 8th VR Workshop on Sonic Interactions for Virtual Environments

IEEE 8th VR Workshop on Sonic Interactions for Virtual Envir...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Stefania Serafin Ali Adjorlu Rolf Nordahl Federico Fontana Michele Geronazzo Tifanie Bouchara Florent Berthaut Romain Michon Dorte Hammershøj Lorenzo Picinali Department of Architecture Design and Media Technology Aalborg University Copenhagen Denmark Department of Mathematics Computer Science and Physics University of Udine Udine Italy Department of Engineering and Management University of Padova Vicenza Italy LISN CNRS Université Paris-Saclay France CRIStAL CNRS Univ. Lille Lille France INRIA Lyon France Department of Electronic Systems Aalborg University Denmark Dyson School of Design Engineering Imperial College London London UK

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Sonic interaction design is defined as the study and exploitation of sound as one of the principal channels conveying information, meaning, and aesthetic/emotional qualities in interactive contexts. This field lies at the intersection of interaction design, and sound and music *** the virtual reality community, the focus of research on topics related to auditory feedback has been rather limited when compared, for example, to the focus placed on visual feedback or even on haptic feedback. However, in such communities as film production or product sound design it is well known that sound is a powerful way to communicate meaning and emotion to a scene or a *** 2025 is the 8th of a series of workshops, whose main goal is to increase awareness among the virtual reality community of the importance of sonic elements when designing virtual/augmented/mixed reality (XR hereafter) environments. Participants to the workshop will also discuss how research in other related fields such as film sound theory, product sound design, sound and music computing, game sound design, and accessibility can inform designers of XR environments. Moreover, the workshop will feature state-of-the-art research in the field of sound for XR environments.

关键词： Visualization Three-dimensional displays Conferences Spatial audio Music Virtual environments Production Games User interfaces Haptic interfaces

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Constrained Optimization with Decision-Dependent Distributions

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IEEE Transactions on Automatic Control 2025年

作者： Wang, Zifan Liu, Changxin Parisini, Thomas Zavlanos, Michael M. Johansson, Karl H. KTH Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Sweden Digital Futures StockholmSE-10044 Sweden East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Shanghai200237 China Imperial College London Department 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 Duke University Department of Mechanical Engineering and Materials Science DurhamNC United States

In this paper we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems with decision-dependent distributions has assumed either the absence of constraints or fixed constraints. This work considers a more general setting where the constraints can also dynamically adjust in response to changes in the decision variables. Specifically, we consider linear constraints and analyze the effect of decision-dependent distributions in both the objective function and constraints. Firstly, we establish a sufficient condition for the existence of a constrained equilibrium point, at which the distributions remain invariant under retraining. Moreover, we propose and analyze two algorithms: repeated constrained optimization and repeated dual ascent. For each algorithm, we provide sufficient conditions for convergence to the constrained equilibrium point. Furthermore, we explore the relationship between the equilibrium point and the optimal point for the constrained decision-dependent optimization problem. Notably, our results encompass previous findings as special cases when the constraints remain fixed. To show the effectiveness of our theoretical analysis, we provide numerical experiments on both a market problem and a dynamic pricing problem for parking based on real-world data. © 1963-2012 IEEE.

关键词： Optimization algorithms

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The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm

The Importance of Being Earnest: Multiple Heterogeneous Con...

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28th European Conference on Applications of Evolutionary Computation, EvoApplications 2025, held as part of EvoStar 2025

作者： Rusin, Francesco Fiala, Jan Sanker, Julian Bhattarai, Suyesh Ekárt, Anikó Department of Engineering and Architecture University of Trieste Trieste Italy Institute of Automation and Computer Science Brno University of Technology Brno Czech Republic Yale College Yale University New Haven United States Mechatherm International Limited Cradley Heath United Kingdom Aston Centre for Artificial Intelligence Research and Application Aston University Birmingham United Kingdom

ISBN: (纸本)9783031900617

In this study we address the complex practical problem of multiple heterogeneous container loading with a simple genetic algorithm. We demonstrate that with a well-chosen representation including a heuristic and a suitable fitness function the other aspects of the genetic algorithm do not need extensive work for good results. Following systematic study of our method on synthetically generated data, we visually showcase the solution for a company-based problem instance. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Genetic algorithms

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Runtime Engine for Dynamic Profile Guided Stride Prefetching

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Journal of computer Science & technology 2008年第4期23卷 633-643页

作者：邹琼李晓峰章隆兵 Department of Computer Science University of Science and Technology of China Intel China Research Center Key Laboratorg of Computer System and Architecture Institute of Computing TechnologyChinese Academy of Sciences

Stride prefetching is recognized as an important technique to improve memory access performance. The prior work usually profiles and/or analyzes the program behavior offline, and uses the identified stride patterns to guide the compilation process by injecting the prefetch instructions at appropriate places. There are some researches trying to enable stride prefetching in runtime systems with online profiling, but they either cannot discover cross-procedural prefetch opportunity, or require special supports in hardware or garbage collection. In this paper, we present a prefetch engine for JVM （Java Virtual Machine）. It firstly identifies the candidate load operations during just-in-time （JIT） compilation, and then instruments the compiled code to profile the addresses of those loads. The runtime profile is collected in a trace buffer, which triggers a prefetch controller upon a protection fault. The prefetch controller analyzes the trace to discover any stride patterns, then modifies the compiled code to inject the prefetch instructions in place of the instrumentations. One of the major advantages of this engine is that, it can detect striding loads in any virtual code places for both regular and irregular code, not being limited with plain loop or procedure scopes. Actually we found the cross-procedural patterns take about 30% of all the prefetchings in the representative Java benchmarks. Another major advantage of the engine is that it has runtime overhead much smaller （the maximal is less than 4.0%） than the benefits it brings. Our evaluation with Apache Harmony JVM shows that the engine can achieve an average 6.2% speed-up with SPECJVM98 and DaCapo on Intel Pentium 4 platform, in spite of the runtime overhead.

关键词： stride prefetching dynamic profiling runtime system

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Automatic tuning of sparse matrix-vector multiplication on multicore clusters

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Science China(Information Sciences) 2015年第9期58卷 17-30页

作者： LI ShiGang HU ChangJun ZHANG JunChao ZHANG YunQuan State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences School of Computer and Communication Engineering University of Science and Technology Beijing Department of Computer Science University of Illinois at Urbana-Champaign

To have good performance and scalability, parallel applications should be sophisticatedly optimized to exploit intra-node parallelism and reduce inter-node communication on multicore clusters. This paper investigates the automatic tuning of the sparse matrix-vector(Sp MV) multiplication kernel implemented in a partitioned global address space language, which supports a hybrid thread- and process-based communication layer for multicore systems. One-sided communication is used for inter-node data exchange, while intra-node communication uses a mix of process shared memory and multithreading. We develop performance models to facilitate selecting the best configuration of threads and processes hybridization as well as the best communication pattern for Sp MV. As a result, our tuned Sp MV in the hybrid runtime environment consumes less memory and reduces inter-node communication volume, without damaging the data locality. Experiments are conducted on 12 real sparse matrices. On 16-node Xeon and 8-node Opteron clusters, our tuned Sp MV kernel gets on average 1.4X and 1.5X improvement in performance over the well-optimized process-based message-passing implementation, respectively.

关键词： Sp MV PGAS hybridization model-driven multicore clusters

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Integrating Simulation and AI for Optimal Electric Vehicle Charging Infrastructure: Achievements and Future Directions

Integrating Simulation and AI for Optimal Electric Vehicle...

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16th EAI International Conference on Simulation Tools and Techniques, SIMUTools 2024

作者： Guisado-Lizar, José-Luis Ragel-Díaz-Jara, David Navas-Orozco, Antonio Morera-Figueroa, José Diaz-del-Rio, Fernando Morón-Fernández, María José Cerezuela-Escudero, E. Cardenas-Montes, Miguel Jiménez-Moreno, Gabriel Department of Computer Architecture and Technology Universidad de Sevilla Avenida Reina Mercedes s/n Sevilla41012 Spain I3US Research Institute Universidad de Sevilla Seville Spain SCORE Lab Universidad de Sevilla Seville Spain CIEMAT Centro Inv. Energéticas Medioambientales y Tecnológicas Madrid Spain

ISBN: (纸本)9783031873447

Electric vehicles (EVs) are the most prominent technology for reducing road transport emissions. Their rapid adoption necessitates efficient deployment of charging infrastructure. This study presents works in progress in an innovative approach integrating simulation and artificial intelligence (AI) to optimize EV charging station placement. We develop a microscopic traffic simulation model combining cellular automata and agent-based techniques to capture the dynamic interactions between vehicles, charging stations, and urban environments. Genetic algorithms and neural networks are employed to navigate the complex solution space and identify optimal configurations. The model considers multiple factors including traffic patterns, air quality, grid impacts, and urban mobility. The objective of this holistic approach is to improve charging infrastructure planning, leading to reduced congestion, lower emissions, and enhanced urban mobility. We discuss achievements to date and outline future research directions. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： Genetic algorithms

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Short-term prediction of chaotic time series by using RBF network with regression weights.

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International journal of neural systems 2000年第5期10卷 353-364页

作者： Rojas, I. Gonzalez, J. Cañas, A. Diaz, A.F. Rojas, F.J. Rodriguez, M. Department of Architecture and Computer Technology University of Granada Spain

We propose a framework for constructing and training a radial basis function (RBF) neural network. The structure of the gaussian functions is modified using a pseudo-gaussian function (PG) in which two scaling parameters sigma are introduced, which eliminates the symmetry restriction and provides the neurons in the hidden layer with greater flexibility with respect to function approximation. We propose a modified PG-BF (pseudo-gaussian basis function) network in which the regression weights are used to replace the constant weights in the output layer. For this purpose, a sequential learning algorithm is presented to adapt the structure of the network, in which it is possible to create a new hidden unit and also to detect and remove inactive units. A salient feature of the network systems is that the method used for calculating the overall output is the weighted average of the output associated with each receptive field. The superior performance of the proposed PG-BF system over the standard RBF are illustrated using the problem of short-term prediction of chaotic time series.

关键词： NEURAL networks (computer science) SEQUENTIAL analysis

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Signal processing and perceptrons in an auditory based brain-computer interface

Signal processing and perceptrons in an auditory based brain...

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8th International Conference on Hybrid Intelligent Systems, HIS 2008

作者： Lopez, M.A. Pomares, H. Prieto, A. Pelayo, F. Department of Computer Architecture and Computer Technology University of Granada

ISBN: (纸本)9780769533261

Selective attention to visual or auditory stimuli that elicits steady-state visual or auditory responses (SSVEP or ASSR respectively) amplifies the power of those flickering frequencies of the stimuli measured in the electroencephalography (EEG). The design of brain-computer interfaces (BCI) based on selective attention to auditory stimuli that elicits ASSRs has two major advantages: First, no much training is needed as selective attention is an inherent skill of human beings. Second, as the human hearing system behaves as an amplitude modulated (AM) envelope detector, if the auditory stimuli are previously AM modulated, a steady-state response signal can be easily elicited. As EEG signals are considered to be non stationary, this is an interesting approach to EEG analysis as the feature of our interest can be considered stationary, hence Fourier analysis applied. In this paper we study the behavior of a Perceptron as a classifier of a BCI system where the features for classification are extracted from EEG as responses to AM modulated auditory stimuli and how we can use it in a BCI system. © 2008 IEEE.

关键词： Brain computer interface

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Use of Kohonen Maps as feature selector for selective attention brain-computer interfaces

Use of Kohonen Maps as feature selector for selective attent...

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2nd International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007

作者： Lopez, Miguel Angel Pomares, Hector Damas, Miguel Prieto, Alberto De La Hernandez, Eva Maria Plaza Department of Computer Architecture and Computer Technology University of Granada

ISBN: (纸本)3540730524

Selective attention to visual-spatial stimuli causes decrements of power in alpha band and increments in beta. For steady-state visual evoked potentials (SSVEP) selective attention affects electroencephalogram (EEG) recordings, modulating the power in the range 8-27 Hz. The same behaviour can be seen for auditory stimuli as well, although for auditory steady-state response (ASSR), it is not fully confirmed yet. The design of selective attention based braincomputer interfaces (BCIs) has two major advantages: First, no much training is needed. Second, if properly designed, a steady-state response corresponding to spectral peaks can be elicited, easy to filter and classify. In this paper we study the behaviour of Kohonen Maps as feature selector for a selective attention to auditory stimuli based BCI system. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Feature extraction

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