The idea of an agent is useful for describing circumstances in which it is difficult or perhaps impossible for a single entity to gain all the necessary knowledge about the state of a system. The multiagent system is ...
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In the age of modern world all the nations are developing and in consistence with that more and more bridges are constructing in order to develop the transport system, communication, international relationship & e...
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computing aware network has emerged as a prominent solution to ensure agile service delivery. It is still in its nascent stage of development. The framework faces challenges related to control plane bottlenecks, micro...
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ISBN:
(纸本)9798400716959
computing aware network has emerged as a prominent solution to ensure agile service delivery. It is still in its nascent stage of development. The framework faces challenges related to control plane bottlenecks, micro-loops, and backhaul traffic issues. This paper introduces a distributed approach for a computing Aware Network Framework, to ensure agile service provisioning. The proposed solution involves redistributing computational forwarding tables, utilizing Binding ID (BID) instead of Service ID (SID) for anycast addressing, and implementing source address routing. The paper outlines the logical architecture, emphasizing the efficient integration of computational and network metrics. The existing framework is discussed, highlighting issues such as control plane challenges, micro-loops, and backhaul traffic problems. The proposed solution is detailed, incorporating changes to mitigate identified challenges. The service was invoked 16,000 times in 20 seconds without any errors, demonstrating the high efficiency and reliability of the proposed approach. This successful test showcases the effectiveness of the distributed approach in providing agile and computationally aware services within a network environment.
Motion forecasting has become an increasingly critical component of autonomous robotic systems. Onboard compute budgets typically limit the accuracy of real-time systems. In this work we propose methods of improving m...
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ISBN:
(纸本)9798350384581;9798350384574
Motion forecasting has become an increasingly critical component of autonomous robotic systems. Onboard compute budgets typically limit the accuracy of real-time systems. In this work we propose methods of improving motion forecasting systems subject to limited compute budgets by combining model ensemble and distillation techniques. The use of ensembles of deep neural networks has been shown to improve generalization accuracy in many application domains. We first demonstrate significant performance gains by creating a large ensemble of optimized single models. We then develop a generalized framework to distill motion forecasting model ensembles into small student models which retain high performance with a fraction of the computing cost. For this study we focus on the task of motion forecasting using real world data from autonomous driving systems. We develop ensemble models that are very competitive on the Waymo Open Motion Dataset (WOMD) and Argoverse leaderboards. From these ensembles, we train distilled student models which have high performance at a fraction of the compute costs. These experiments demonstrate distillation from ensembles as an effective method for improving accuracy of predictive models for robotic systems with limited compute budgets.
Industrial controllers and plants are crucial tools for teaching in universities, colleges, and institutes to bridge the gap between academia and industry. This paper introduces a multi-functional industrial plant tha...
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ISBN:
(纸本)9783031533815;9783031533822
Industrial controllers and plants are crucial tools for teaching in universities, colleges, and institutes to bridge the gap between academia and industry. This paper introduces a multi-functional industrial plant that employs a programmable logic controller (PLC) for process automation. The industrial plant consists of a pump, a heating system, various types of sensors (such as pressure and temperature sensors), and different valves (including manual acting, pneumatic, and proportional solenoid valves), which can be configured in different combinations to serve different process control purposes. To expand the input and output capabilities and distribute the input/output (I/O) modules, a Siemens SIMATIC ET 200SP I/O system is connected to a Siemens SIMATIC S7-1200 PLC using Profinet communication networks. A case study is provided to verify the effectiveness of the process control station.
The world around us is becoming increasingly mechanized because of technology. Due to their energy efficiency and reduced need for tiresome human labor, automatic systems are preferred over manual ones. automation of ...
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Investment decision making is the most crucial event that every investor must be very keen on taking as the initial output of the investment depends on the decisions taken by the investors. Moreover, investment decisi...
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With the rapid development of science and technology, artificial intelligence (AI) has penetrated into every aspect of our lives. Especially in the field of intelligent control system, the application of AI algorithm ...
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Invoices are the fundamental document that play a vital role in encapsulating the details of the products and the business transactions between the seller and the buyer. We cannot check our invoices at any time for em...
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The widespread adoption of Internet of Things (IoT) devices has spurred a surge in data-driven applications, presenting challenges in processing, storing, and managing IoT data within fog and cloud computing environme...
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