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EUC 2005 Workshops: 2nd international Symposium on Ubiquitous Intelligence and Smart Worlds, UISW 2005, ifip international Symposium on network-Centric Ubiquitous Systems, NCUS 2005, 1st international Workshop on Security in Ubiquitous computing Systems, SecUbiq 2005, 1st international Workshop on RFID and Ubiquitous Sensor networks, USN 2005 and international Workshop on Trusted and Autonomic Ubiquitous and Embedded Systems, TAUES 2005 held in conjunction with the ifip international conference on Embedded and Ubiquitous computing, 2005

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EUC 2005 Workshops: 2nd international Symposium on Ubiquitous Intelligence and Smart Worlds, UISW 2005, ifip international Symposium on network-Centric Ubiquitous Systems, NCUS 2005, 1st international Workshop on Security in Ubiquitous computing Systems, SecUbiq 2005, 1st international Workshop on RFID and Ubiquitous Sensor networks, USN 2005 and international Workshop on Trusted and Autonomic Ubiquitous and Embedded Systems, TAUES 2005 held in conjunction with the ifip international conference on Embedded and Ubiquitous computing, 2005

ISBN: (纸本)3540308032

The proceedings contain 134 papers. The special focus in this conference is on Ubiquitous intelligence and smart worlds. The topics include: Human activity recognition based on surrounding things;a service management system for coordinating smart things in smart spaces;a world model for smart spaces;dealing with emotional factors in agent based ubiquitous group decision;a multi-agent software platform accommodating location-awareness for smart space;application-driven customization of an embedded java virtual machine;intelligent object extraction algorithm based on foreground/background classification;ubiquitous organizational information service framework for large scale intelligent environments;temporal-spatial methodology for application checking of the systems in the ubiquitous environment;multivariate stream data reduction in sensor network applications;implementing a graph neuron array for pattern recognition within unstructured wireless sensor networks;building graphical model based system in sensor networks;the design and implementation of a location-aware service bundle manager in smart space environments;human position/height detection using analog type pyroelectric sensors;semantic based sensor grid and norms enforcement as a coordination strategy in ubiquitous environments.

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Leveraging Hybrid Classical-Quantum Methods for Efficient Load Rebalancing in HPC 24

Leveraging Hybrid Classical-Quantum Methods for Efficient Lo...

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Proceedings of the SC '24 Workshops of the international conference on High Performance computing, network, Storage, and Analysis

作者： Justyna Zawalska Minh Chung Katarzyna Rycerz Laura Schulz Martin Schulz Dieter Kranzlmüller AGH University of Krakow Institute of Computer Science Krakow Poland and Academic Computer Center CYFRONET AGH Krakow Poland Leibniz Supercomputing Centre (LRZ) Garching bei München Germany and MNM-Team Ludwig-Maximilians-Universität München (LMU) Germany Leibniz Supercomputing Centre (LRZ) Garching bei München Germany Leibniz Supercomputing Centre (LRZ) Garching bei München Germany and Chair for Computer Architecture and Parallel Systems Technical University of Munich (TUM) Germany

ISBN: (纸本)9798350355543

Load imbalance is a challenge for parallel applications in High Performance computing (HPC). It is caused by processes having different execution times or load values, leading to idle or wait times at synchronization points, where faster processes must wait for the slowest process to catch up. To mitigate this issue, applications can employ load balancing (LB) strategies, which migrate load between processes to even out load. This is often referred to as the Load Rebalancing Problem (LRP). While many approaches solving the LRP exist, they can only be heuristics and hence further optimization potential exists. In our work, we turn to a novel approach by using hybrid classical-quantum approaches and present two versions of the constrained quadratic model for solving the LRP; the two differ in how they balance the number of qubits required with the types of applied constraints. We compare the quantum-based methods with classical methods using heuristic algorithms Greedy, Karmarkar--Karp, and ProactLB. We evaluate our approaches using imbalance ratio and speedup as metrics, as well as the number of migrated tasks to indicate overhead caused by migrations. Our results show that the quantum-based methods outperform the classic methods. For example, we need only 1/4 of the number of migrated tasks in a realistic use case compared with classical methods, particularly Greedy and KK, to balance the load.

关键词： CQM

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9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th Workshop on 5G-Putting Intelligence to the network Edge, 5G-PINE 2020, held as parallel events of the 16th ifip WG 12.5 international conference on Artificial Intelligence Applications and Innovations, AIAI 2020

9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th ...

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9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th Workshop on 5G-Putting Intelligence to the network Edge, 5G-PINE 2020, held as parallel events of the 16th ifip WG 12.5 international conference on Artificial Intelligence Applications and Innovations, AIAI 2020

ISBN: (纸本)9783030491895

The proceedings contain 21 papers. The special focus in this conference is on Mining Humanistic Data. The topics include: Threat Landscape of Next Generation IoT-Enabled Smart Grids;towards a Smart Port: The Role of the Telecom Industry;a Graph-Based Extension for the Set-Based Model Implementing Algorithms Based on Important Nodes;a Sentiment-Based Hotel Review Summarization Using Machine Learning Techniques;an Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement;fake News Detection Regarding the Hong Kong Events from Tweets;improving Movie Recommendation Systems Filtering by Exploiting User-Based Reviews and Movie Synopses;the Converging Triangle of Cultural Content, Cognitive Science, and Behavioral Economics;application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window;A New Approach to 5G and MEC Integration;fingerprints Recognition System-Based on Mobile Device Identification Using Circular String Pattern Matching Techniques;mining and Analysis of Air Quality Data to Aid Climate Change;business Aspects of the Neutral Host Model: The Immersive Video Services Case;combined 5G-Based Video Production and Distribution in a Crowded Stadium Event;dynamic network Slicing: Challenges and Opportunities;dynamic Resource Allocation and Computation Offloading for Edge computing System;Intelligent Orchestration of End-to-End network Slices for the Allocation of Mission Critical Services over NFV Architectures;on the Prediction of Future User Connections Based on Historical Records in Wireless networks;Programmable Edge-to-Cloud Virtualization for 5G Media Industry: The 5G-MEDIA Approach.

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Harnessing the Potential of Omnidirectional UAVs in RIS-Enabled Wireless networks

Harnessing the Potential of Omnidirectional UAVs in RIS-Enab...

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international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Abdoul Karim A. H. Saliah Hajar El Hammouti Daniel Bonilla Licea College of Computing Mohammed VI Polytechnic University (UM6P) Morocco Faculty of Electrical Engineering Czech Technical University Prague Czech Republic

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Multirotor Aerial Vehicles (MRAVs) when integrated into wireless communication systems and equipped with a Reflective Intelligent Surface (RIS) enhance coverage and enable connectivity in obstructed areas. However, due to limited degrees of freedom (DoF), traditional under-actuated MRAVs with RIS are unable to control independently both the RIS orientation and their location, which significantly limits network performance. A new design, omnidirectional MRAV (o-MRAV), is introduced to address this issue. In this paper, an o-MRAV is deployed to assist a terrestrial base station in providing connectivity to obstructed users. Our objective is to maximize the minimum data rate among users by optimizing the o-MRAV’s orientation, location, and RIS phase shift. To solve this challenging problem, we first smooth the objective function and then apply the parallel Successive Convex Approximation (PSCA) technique to find efficient solutions. Our simulation results show significant improvements of 28% and 14% in terms of minimum and average data rates, respectively, for the o-MRAVs compared to traditional u-MRAVs.

关键词： Wireless networks Simulation Signal processing Terrestrial communications Planning Relays Speech processing Surface treatment Robots Optimization

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Designing Airport Terminal New Facilities by Exploiting parallel Intelligence and Level of Service Framework

Designing Airport Terminal New Facilities by Exploiting Para...

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2025 Integrated Communications, Navigation and Surveillance conference, ICNS 2025

作者： Siddiqui, Fahad Masood Major Projects Department Doha Qatar

ISBN: (纸本)9798331534738

Terminal planning is an iterative cycle that tends to add new facilities based on operational challenges, forecasts, demand analysis, capacity assessment, technology requirements and strategic business objectives. The cornerstone of terminal design management is sustained capacity, which correlates to sizing of subsystems thereby enhancing operational efficiency. The international Air Transport Association (IATA) redefined guidelines not only to reflect an optimum level of service (LoS) but also addressed capacity constraints for advanced concourse systems. On the other hand, parallel intelligence (PI) has gained popularity in terms of shifting the focus from digital twinning towards a highly adaptive tool, which can incorporate real time control function viz. decision making. This capability works on the principle of cognitive intelligence for computing big data via an orchestrated network of field sensors and edge devices. The purpose of this exploratory research is to propose a pragmatic approach that can perform data aggregation of PI nodes and the IATA LoS analytics. With this arrangement, the results will be more accurate, bespoke to a specific terminal and befitting the desired LoS criteria. The exploitation focussed on sample peak hour passenger forecasts for planning facilities and subsystems. The hypothesis is substantiated by means of numerical analysis, an illustrative configuration of PI architecture, and a histogram. The architecture proposed herein is scalable and promises a cost effective roadmap for ensuring optimal LoS while designing new facilities and subsystems. PI-based LoS framework is agile, and can be used for adaptive operations of airport terminal facilities for the future of aviation. © 2025 IEEE.

关键词： Convergence of numerical methods

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A Counterfactual Ultrasound Anti-Interference Self-Supervised network for B-mode Ultrasound Tongue Extraction

A Counterfactual Ultrasound Anti-Interference Self-Supervise...

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international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yan Jia Yuqing Cheng Kele Xu Yong Dou Peng Qiao Zhouyu He National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha China College of Systems Engineering National University of Defense Technology Changsha China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

B-mode ultrasound tongue imaging is a non-invasive and real-time method for visualizing vocal tract deformation. However, accurately extracting the tongue’s surface contour remains a significant challenge due to the low signal-to-noise ratio (SNR) and prevalent speckle noise in ultrasound images. Traditional supervised learning models often require large labeled datasets, which are labor-intensive to produce and susceptible to noise interference. To address these limitations, we present a novel Counterfactual Ultrasound Anti-Interference Self-Supervised network (CUAI-SSN), which integrates self-supervised learning (SSL) with counterfactual data augmentation, progressively disentangles confounding factors, ensuring that the model generalizes well across varied ultrasound conditions. Our approach leverages causal reasoning to decouple noise from relevant features, enabling the model to learn robust representations that focus on essential tongue structures. By generating counterfactual image-label pairs, our method introduces alternative, noise-independent scenarios that enhance model training. Furthermore, we introduce attention mechanisms to enhance the network’s ability to capture fine-grained details even in noisy conditions. Extensive experiments on real ultrasound tongue images demonstrate that CUAI-SSN outperforms existing methods, setting a new benchmark for automated contour extraction in ultrasound tongue imaging. Our code is publicly available at https://***/inexhaustible419/CounterfactualultrasoundAI.

关键词： Training Ultrasonic imaging Tongue Self-supervised learning Data augmentation Data models Cognition Data mining Noise measurement Signal to noise ratio

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network and parallel computing

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international JOURNAL OF parallel PROGRAMMING 2015年第3期43卷 311-315页

作者： Hsu, Ching-Hsien Li, Xiaoming Shi, Xuanhua Chung Hua Univ Dept Comp Sci & Informat Engn Hsinchu Taiwan Univ Delaware Dept Elect & Comp Engn Newark DE USA Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Peoples R China

It’s our pleasure to bring you this special issue of the international Journal of parallel Programming on the network and parallel computing. Prior to the publication to this special issue, all papers were presented in the 10th ifip international conference on network and parallel computing (NPC’13) held from September 19 to September 21 2013 in Guiyang, China. Since 2003, NPC has become a valuable venue for engineers and scientists to present their excellent ideas and experiences in system?fields of distributed and parallel computing. The NPC 2013 continues this tradition and in particular extends areas of interest to Big data computing and parallel and multicore issues and opportunities. Huazhong University of Science and Technology, China organized this year’s NPC conference.

关键词： CLOUD storage SEMANTIC Web parallel algorithms

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Jump Like a Frog: Optimization of Renewable Energy Prediction in Smart Gird Based on Ultra Long Term network 30th

Jump Like a Frog: Optimization of Renewable Energy Predict...

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30th international conference on parallel and Distributed Processing Techniques, PDPTA 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied computing, CSCE 2024

作者： Du, Xingbang Zhang, Enzhi Hokkaido University Hokkaido Sapporo060-0808 Japan

ISBN: (纸本)9783031856372

Renewable energy generation forecasting plays crucial roles in advanced smart grid and sustainable practices. Although many RNN related methods have been utilized to predict power generation time series data, they often struggle to capture very long-term correlations efficiently due to the vanishing gradient issue. To address this challenge, we have introduced the Ultra long term network model that incorporated LSTM, SKIP LSTM and Dense components. This model effectively captures long-term patterns while mitigating the vanishing gradient problem associated with capturing very long term patterns. Our application of this model to renewable power prediction has yielded better performance when compared through metrics like MSE and MAE than previous models such as LSTM, GRU and Simple RNN models in time series analysis within smart grids. The integration of this model holds promise for enhancing the intelligence of renewable energy grids. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Clean energy

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Designing Airport Terminal New Facilities by Exploiting parallel Intelligence and Level of Service Framework

Designing Airport Terminal New Facilities by Exploiting Para...

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Integrated Communications, Navigation and Surveillance conference, ICNS

作者： Fahad Masood Siddiqui Major Projects Department MATAR (Qatar Company for Airports Operation and Management) Management and Consultancy Excellence Qatar Limited Doha Qatar

ISBN: (数字)9798331534738

ISBN: (纸本)9798331534745

关键词： Performance evaluation Navigation Surveillance Computer architecture Airports Real-time systems Planning Iterative methods Intelligent sensors Pragmatics

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2nd international Symposium on network-Centric Ubiquitous Systems, NCUS 2006, 2nd international Workshop on Security in Ubiquitous computing Systems, SecUbiq 2006, 2nd international Workshop on RFID and Ubiquitous Sensor networks, USN 2006, 1st international Workshop on Trustworthiness, Reliability and services in Ubiquitous and Sensor networks, TRUST 2006, 1st international Workshop on Embedded Software Optimization, ESO 2006 and 1st international Workshop on Multimedia Solution and the Assurance in the Ubiquitous Information Systems, MSA 2006 held in conjunction with the ifip international conference on Embedded and Ubiquitous computing, EUC 2006

2nd International Symposium on Network-Centric Ubiquitous Sy...

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2nd international Symposium on network-Centric Ubiquitous Systems, NCUS 2006, 2nd international Workshop on Security in Ubiquitous computing Systems, SecUbiq 2006, 2nd international Workshop on RFID and Ubiquitous Sensor networks, USN 2006, 1st international Workshop on Trustworthiness, Reliability and services in Ubiquitous and Sensor networks, TRUST 2006, 1st international Workshop on Embedded Software Optimization, ESO 2006 and 1st international Workshop on Multimedia Solution and the Assurance in the Ubiquitous Information Systems, MSA 2006 held in conjunction with the ifip international conference on Embedded and Ubiquitous computing, EUC 2006

ISBN: (纸本)3540368507

The proceedings contain 106 papers. The special focus in this conference is on NCUS 2006 Symposium, SecUbiq 2006 Workshop, USN 2006 Workshop, TRUST 2006 Workshop, ESO 2006 Workshop and MSA 2006 Workshop. The topics include: A preliminary study on impact of dying of solution on Adaptive Router Promotion in Ad-Hoc networks, A Utility-Based Auction Cooperation Incentive Mechanism in Peer-to-Peer networks, UbiqStor: Server and Proxy for Remote Storage of Mobile Devices, Packet Length Adaptation for Energy-Proportional Routing in Clustered Sensor networks, A New Context Script Language for Developing Context-Aware Application Systems in Ubiquitous computing, Dynamic Replication Strategies for Object Storage Systems, A Cost-Effective Mobility Modelling in Nested network Mobility, Completing UML Model of Component-Based System with Middleware for Performance Evaluation, Energy Efficient PNC Selection Procedure for the IEEE 802.15.3-Based HR-WPAN, An Efficient Multicast Routing Protocol in Multi-rate Wireless Ad Hoc networks, and WPAN Platform Design in Handset Integrating Cellular network and Its Application to Mobile Games.

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