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59th Annual Allerton conference on Communication, Control, and computing, Allerton 2023

作者： Fonseca, Benedito J. B. Northern Illinois University Department of Electrical Engineering United States

ISBN: (纸本)9798350328141

When designing a distributed sensor system to detect the occurrence of an emitter in multiple communities, the designer may face questions related to fairness. To assist designers answer such questions, we adopt a fairness definition based on envy-free fairness: we define a design to be envy-free fair when all communities have the same probability of detecting the emitter. Using an optimization framework considering a constraint in the total rate of false alarms, we show that, when communities are isolated, the optimum envy-free fair system exists;and, for a given sensor allocation, we propose an algorithm to find such a system. We also propose an algorithm to allocate sensors to communities and, through examples, we illustrate that it can produce allocations close to the optimum allocation most of the times. © 2023 ieee.

关键词： distributed detection fairness sensor systems

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Poster Abstract: A Human Body Power Transfer System to Enable Battery-Less sensor Nodes 23

Poster Abstract: A Human Body Power Transfer System to Enabl...

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8th ACM/ieee international conference on Internet of Things Design and Implementation (IoTDI)

作者： Rogge, Rabea Schulthess, Lukas Vogt, Christian Magno, Michele Swiss Fed Inst Technol Dept Informat Technol & Elect Engn Zurich Switzerland

ISBN: (纸本)9798400700378

New wearable technologies come with high requirements for miniaturization and flexibility, which are usually restricted by rigid batteries. Capacitive power transfer and communication, employing the human body as a conductive medium enables energy-efficient communication and even the possibility to achieve battery-lesswearable sensors distributed on the body. This work presents as a proof-of-concept a complete system consisting of a custom-designed on-body transmitter and battery-less receiver and evaluates the power transmitted and the range achieved. We demonstrate the applicability of our prototype to a real-life scenario as a glucose level tracker even in realistic non-perfect grounding conditions. The realized design offers a power transmission of up to 2.5mW at distances of 15 cm and 5.5 mu W at 125 cm, showing the possibility of battery-less on-body edge computing applications.

关键词： Internet of Things Body sensor Network Cyber-Physical systems Capacitive Power Transfer Battery-free sensors

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Mappings and patterns to improve the triangular matrix product on distributed systems 25

Mappings and patterns to improve the triangular matrix produ...

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25th ieee international conference on Cluster computing (CLUSTER)

作者： Santamaria-Valenzuela, Inmaculada Carratala-Saez, Rocio Torres, Yuri Llanos, Diego R. Gonzalez-Escribano, Artur Univ Valladolid Dept Ingn Informat Valladolid Spain

ISBN: (纸本)9798350370621

Matrix multiplication is one of the most costly linear algebra operations, very often present in scientific computational applications. Current generic linear algebra libraries, such as ScaLAPACK and its recent evolution SLATE, include functionalities for generic and triangular matrix multiplication. They generally rely on block-cyclic partitioning, which has two main advantages. First, it provides good interoperability with other functionalities of the libraries. Second, it provides a good balance of computation and inter-process communications. The focus of these libraries is performance and scalability, targeting even huge number of processes. Nevertheless, many enterprises and computing centers work with commodity clusters or small partitions with a reduced amount of nodes. In this paper, we propose and evaluate a combination of data distributions and communication patterns intending to optimize the triangular matrix product in distributed memory systems when targeting commodity clusters (up to approximately 36 nodes). The main four ideas are: Use panels (horizontal or vertical band partitions) instead of tiling;avoid zero-elements in communication buffers;balance the number of elements in communicated buffers;and evaluate the performance when combined with both pipeline and broadcast communication strategies. We compare our implementation performance against the state-of-the-art implementations provided by ScaLAPACK and SLATE. The results show that we outperform both of them. Our proposal is up to 41% faster than ScaLAPACK, and up to 6.7% faster than SLATE.

关键词： triangular matrices matrix product distributed systems SLATE ScaLAPACK

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EN-DADA: Node task assignment algorithm for energy harvesting wireless multimedia sensor networks

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IET COMMUNICATIONS 2023年第20期17卷 2287-2298页

作者： Han, Chong Ding, Leilei Guo, Jian Sun, Lijuan Nanjing Univ Posts & Telecommun Coll Comp Nanjing 210003 Peoples R China Nanjing Univ Posts & Telecommun Jiangsu High Technol Res Key Lab Wireless Sensor N Nanjing Peoples R China

Today, a directional wireless multimedia sensor network is a popular environment for solving the task assignment problem. Achieving long-term frontal monitoring of moving objects is a crucial challenge for scholars in this field. Utilizing directional sensors equipped with energy harvesting is an effective technique to enhance network performance. In this way, the energy of nodes is no longer limited to batteries and can result in better frontal monitoring. In this method, each sensor categorizes tasks based on its own energy, allowing the determination of task execution nodes through bidding. The present study proposes a distributed algorithm for directional task assignment, EN-DADA, based on energy harvesting. The task was first classified to determine the candidate node set that could execute the task, and then the task assignment was determined according to the monitoring income of each node in the candidate node set. The comparative analysis confirmed that the proposed method had advantages in terms of task revenue and network lifetime when using the same energy harvesting model. A model of directed sensor nodes with solar energy harvesting is introduced in this paper, where the energy of such nodes is no longer limited to batteries and the directed sensing area enables better frontal tracking. On this basis, we propose a distributed algorithm for directional task ***

关键词： mobile computing multimedia communication wireless sensor networks

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Octopus: Experiences with a Hybrid Event-Driven Architecture for distributed Scientific computing

Octopus: Experiences with a Hybrid Event-Driven Architecture...

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2024 Workshops of the international conference for High Performance computing, Networking, Storage and Analysis, SC Workshops 2024

作者： Pan, Haochen Chard, Ryan Zhou, Sicheng Kamatar, Alok Vescovi, Rafael Hayot-Sasson, Valerie Bauer, Andre Gonthier, Maxime Chard, Kyle Foster, Ian Southern University of Science and Technology Department of Computer Science China Illinois Institute of Technology Department of Computer Science ChicagoIL United States University of Chicago Department of Computer Science ChicagoIL United States Argonne National Laboratory Data Science and Learning Division LemontIL United States

ISBN: (纸本)9798350355543

Scientific research increasingly relies on distributed computational resources, storage systems, networks, and instruments, ranging from HPC and cloud systems to edge devices. Event-driven architecture (EDA) benefits applications targeting distributed research infrastructures by enabling the organization, communication, processing, reliability, and security of events generated from many sources. To support the development of scientific EDA, we introduce Octopus, a hybrid, cloud-to-edge event fabric designed to link many local event producers and consumers with cloud-hosted brokers, and to provide a fabric for developing resilient applications. Octopus can be scaled to meet demand, permits the deployment of highly available Triggers for automatic event processing, and enforces fine-grained access control. We identify requirements in self-driving laboratories, scientific data automation, online task scheduling, epidemic modeling, and dynamic workflow management use cases, and present results demonstrating Octopus' ability to meet those requirements. Octopus supports producing and consuming events at a rate of over 4.2 M and 9.6 M events per second, respectively, from distributed clients. © 2024 ieee.

关键词： Event-driven architecture research automation scientific computing

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Implementation of Blockchain Technology to Enhance Data Security for Cloud computing 1

Implementation of Blockchain Technology to Enhance Data Secu...

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1st ieee international conference on Advances in computing, Communication and Networking, ICAC2N 2024

作者： Kumari, Poonam Singh, Meeta Manav Rachna International Institute of Research and Studies Department of Computer Science and Engineering Haryana Faridabad India

ISBN: (纸本)9798350356816

Cloud computing, the fastest-growing IT technology, offers flexibility and scalability with pay-per-use models, but it raises concerns about data security due to third-party storage and online accessibility. Effective cloud security measures are crucial for protecting user data. The Internet of Things (IoT) generates enormous amounts of data that must be efficiently processed and stored in the cloud. Blockchain technology enhances data security through its tamper-resistant distributed ledger and peer-to-peer networks, which allow any node with internet access to join or create networks. To protect sensitive data and maintain its integrity, it is crucial to implement robust encryption, privacy safeguards, access controls, identity management and confidentiality in both cloud and decentralized systems. © 2024 ieee.

关键词： Cloud security

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Graph-Theoretic distributed Approach for Cyber Contingency Impact Assessment in Smart Grids

Graph-Theoretic Distributed Approach for Cyber Contingency I...

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2024 ieee international conference on Modeling, Simulation and Intelligent computing, MoSICom 2024

作者： Hareesh Kumar Reddy, M. Vignesh, V. Indian Institute of Technology Tirupati Electrical Engineering Tirupati India

ISBN: (纸本)9798331533311

The rapid integration of digital technologies into power grids has transformed traditional grids into smart grids, increasing interdependence between cyber and physical components. This interconnection introduces vulnerabilities, where cyber disturbances can significantly impact the operation and stability of the power system. Consequently, evaluating, ranking, and prioritizing cyber contingencies is crucial for maintaining grid reliability and resilience. A novel approach for quantifying cyber contingencies is presented, utilizing the distributed Cyber-Dependent Optimal Power Flow (CDOPF) problem. A graph-theoretic framework models the cyberphysical smart grid, eliminating the need for complex and computationally expensive cyber-physical co-simulations. Nonconvex constraints are convexified using a DC power flow relaxation, enabling more efficient solutions. The distributed algorithms are incorporated using RIAPS (Resilient Information Architecture Platform for Smart Grid), an opensource platform designed to enhance the dependability, resilience, and performance of distributed systems within the smart grid. RIAPS provides a robust framework for decentralized control, fault tolerance, and real-time monitoring, which is crucial for ensuring the resilience of cyber-physical systems in dynamic, distributed environments. The platform supports scalable and efficient integration of distributed algorithms across the grid's infrastructure, enabling fast decision-making and enhanced grid security. The method is tested on the ieee 39-bus system with varying partition sizes, demonstrating that the distributed approach outperforms centralized methods in scalability and accuracy. It effectively ranks cyber contingencies and measures their impact on overall grid stability, improving grid security and decision-making capabilities. © 2024 ieee.

关键词： Quadratic programming

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Efficient Gesture Recognition on Spiking Convolutional Networks Through sensor Fusion of Event-Based and Depth Data

Efficient Gesture Recognition on Spiking Convolutional Netwo...

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ieee international conference on Robotics and Automation (ICRA)

作者： Steffen, Lea Trapp, Thomas Roennau, Arne Dillmann, Ruediger FZI Res Ctr Informat Technol D-76131 Karlsruhe Germany Karlsruhe Inst Technol KIT D-76131 Karlsruhe Germany

ISBN: (纸本)9798350384581;9798350384574

As intelligent systems become increasingly important in our daily lives, new ways of interaction are needed. Classical user interfaces pose issues for the physically impaired and are partially not practical or convenient. Gesture recognition is an alternative, but often not reactive enough when conventional cameras are used. This work proposes a Spiking Convolutional Neural Network, processing event- and depth data for gesture recognition. The network is simulated using the open-source neuromorphic computing framework LAVA for offline training and evaluation on an embedded system. For the evaluation three open source data sets are used. Since these do not represent the applied bi-modality, a new data set with synchronized eventand depth data was recorded. The results show the viability of temporal encoding on depth information and modality fusion, even on differently encoded data, to be beneficial to network performance and generalization capabilities.

关键词： Spatio-temporal data

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SMVAR: A Novel RNN Accelerator Based on Non-blocking Data Distribution Structure 25

SMVAR: A Novel RNN Accelerator Based on Non-blocking Data Di...

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25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Xu, Jinwei Jiang, Jingfei Xu, Shiyao Gao, Lei National University of Defense Technology Science and Technology on Parallel and Distributed Laboratory Hunan Changsha China

ISBN: (纸本)9798350330014

Recurrent neural networks (RNNs) have become common models in the field of artificial intelligence to process temporal sequence task, such as speech recognition, text analysis, natural language processing, etc. To speedup RNNs inference, previous research proposed model sparse pruning techniques. However, the pruning rate of existing sparse pruning algorithms will be affected by pruning granularity and hardware friendliness. In order to approximate nonstructured pruning algorithm, this paper proposes Large Region Balanced Sparse (LRBS) pruning method, which does not limit sub-matrix shape and effectively improves pruning rate. Furthermore, we propose Sparse Matrix Vector Multiplication Accelerator for RNNs (SMVAR), which adopt non-blocking data distribution structure to solve the problem of efficient execution of large region irreg-ular matrix multiplication. To further improve the accelerator performance, SMVAR fine-grained adjusts the pipeline between macro-operations to reduce the idle of compute components. In addition, according to the coarse-grained block characteristics of LRBS algorithm, we develop the coarse-grained parallelism of accelerator with multiply compute units(CUs) structure. Experiments show that the pruning rate of our proposed LRBS is 1.25x-2.5x higher than that of the existing pruning algorithms. Compared with the existing work, the execution efficiency is improved by more than 2.02x-35.9x in the same application scenario. © 2023 ieee.

关键词： Field programmable gate arrays (FPGA)

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Multi-FPGA system for quantum error correction with lattice surgery 5

Multi-FPGA system for quantum error correction with lattice ...

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2024 international conference on Quantum computing and Engineering

作者： Liyanage, Namitha Wu, Yue Houghton, Emmet Zhong, Lin Yale Univ Dept Comp Sci POB 2158 New Haven CT 06520 USA

ISBN: (纸本)9798331541378

A practical decoder for quantum error correction must decode a dynamic decoding graph comprising all logical qubits in the system in real-time, a challenging task due to resource limitations. We report HeliosNet, a first-of-its-kind decoding system that overcomes resource constraints through a distributed multi-FPGA architecture. It employs a hybrid tree grid topology to minimize latency for lattice surgery operations distributed across multiple FPGAs. Furthermore, HeliosNet introduces fusion-Union-Find, a novel approach to decoding merged logical qubits that avoids redundant computations associated with traditional window decoders. Additionally, we designed HeliosNet architecture to overcome the IO limitation and minimize data movement latency when integrating with existing quantum control systems. Our exploratory prototype of HeliosNet consists of five Xilinx VMK-180 FPGAs and can decode 100 logical qubits (d = 5) faster than the rate of measurement. Thus, we believe that HeliosNet is a promising candidate for the logical qubit decoding layer in the quantum computer control stack.

关键词： distributed systems Lattice Surgery Multi-FPGA Quantum Error Correction Surface Code

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