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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Conversational Agents (CAs) are making human-computer interaction more collaborative and conversational through using natural language. The HCI and interaction design communities, have been experimenting with and expl...
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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.
Nowadays, sound serves as a crucial factor in all facets of human life. Staring from automating personal security systems to critical surveillance systems, sound is an indispensable component. The practical implementa...
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This paper aims to present an experimental study of structured crystals, which has been realized by the integrated use of software products for assessment and analysis of crystal lattices, as well as the building of t...
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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 paper is designed to study the vehicle collision avoidance mechanism that comes in its path while moving forward. Obstacle avoidance car is an autonomous and intelligent device that senses the obstacle in its path...
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The study of human posture estimation has produced an excellent illustration of the present state of human and computer vision. Various experts from across the world are now performing considerable studies on this top...
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Denoising of images is considered to be a crucial preprocessing step in all image processing applications. Although various studies have been conducted in the area of denoising still there is room for improvement. A m...
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