Collaborative systems with multiple robots strategies are frequently cited as promising solutions to increase efficiency and system resilience in the agricultural area, where robotics is anticipated to play a signific...
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The incorporation of cutting-edge drone technology into diverse industries has opened doors to unprecedented possibilities, but it does come with its share of substantial challenges. In this research paper, we delve i...
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The problem of collective methods based on graph presents challenges: given mentions and their candidate entities, methods need to build graphs to model correlation of linking decisions between different mentions. In ...
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The combination of metaverse and transportation provides new infinite possibilities for the future development of intelligent transportation. The metaverse-empowered intelligent transportation has the characteristics ...
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With an increase in the number of online job posts, it is becoming increasingly challenging for both job searchers and employers to navigate this large quantity of information. Therefore, it is crucial to use natural ...
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Traveling Salesman Problem (TSP), a well-known combinatorial optimization problem, aims to find the shortest path for a salesman to visit all the given cities and return to the departure city, with each city visited o...
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The underwater robot based on visual guidance is disturbed by ocean currents, wind waves and other disturbances in the process of moving to the target position, which makes its motion nonlinear and uncertain. In this ...
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The proceedings contain 11 papers. The special focus in this conference is on Security and Trust Management. The topics include: HoneyGAN: Creating Indistinguishable Honeywords with Improved Generative Adversaria...
ISBN:
(纸本)9783031295034
The proceedings contain 11 papers. The special focus in this conference is on Security and Trust Management. The topics include: HoneyGAN: Creating Indistinguishable Honeywords with Improved Generative Adversarial Networks;A Hierarchical Watermarking Scheme for PRFs from Standard Lattice Assumptions;evaluating the Future Device Security Risk Indicator for Hundreds of IoT Devices;server-Supported Decryption for Mobile Devices;software Vulnerability Detection via Multimodal Deep Learning;assessing Deep Learning Predictions in Image-Based Malware Detection with Activation Maps;m2 M: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch;JChainz: Automatic Detection of Deserialization Vulnerabilities for the Java Language;FlowADGAN: Adversarial Learning for Deep Anomaly Network Intrusion Detection.
Bionic computing, increasingly favored for its sophisticated approach to knowledge applications, is experiencing a revolution bolstered by neuromorphic hardware, which delivers versatile solutions in a multitude of sc...
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ISBN:
(纸本)9789819755004;9789819755011
Bionic computing, increasingly favored for its sophisticated approach to knowledge applications, is experiencing a revolution bolstered by neuromorphic hardware, which delivers versatile solutions in a multitude of scenarios. In this context, we introduce DarwinOS Scheduler-a hierarchical distributed operating system framework optimized for configurable multi-core neuromorphic chips with synchronous communication. This scheduler adeptly manages neuronal computation tasks influenced by data streams, promoting dynamic spiking neural network (SNN) operations where process states switch responsively to activity events. To bolster efficiency, DarwinOS incorporates general-purpose executors for task-related data handling, both prior to and after core processing. Alongside, we propose a neuromorphic task scheduling method, Hierarchical Distributed Scheduling for Neuromorphic tasks (HDSN), that dynamically identifies and leverages common computational patterns among various tasks. This maximizes data processing while adhering to hardware constraints. Simulations affirm that DarwinOS scheduler with HDSN outperforms traditional methods, boosting system throughput and resource utilization by 12% and 4%, respectively, thus enhancing the performance and efficiency of large-scale neuromorphic systems.
The wine production industry competes every day for better product quality, same time lowering production costs. As product quality strongly relies on winemaker expertise and quality of raw materials, lower production...
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