the Internet of things (IoT) has revolutionized data transfer in industries through the MQTT protocol. MQTT is a lightweight messaging protocol designed for efficient communication among IoT devices. It operates on a ...
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the proceedings contain 215 papers. the topics discussed include: research on symmetric encryption and decryption algorithm of shared data based on chaotic mapping and permutation;dynamic UAV path planning for 5G mobi...
ISBN:
(纸本)9798350313444
the proceedings contain 215 papers. the topics discussed include: research on symmetric encryption and decryption algorithm of shared data based on chaotic mapping and permutation;dynamic UAV path planning for 5G mobile base stations: an approach based on the link budget;multi-sensor data fusion and artificial intelligence feature analysis;multi-objective optimization algorithm in big data environment;an optimized Yolov5s approach and its application to image detection problems;error analysis and calibration of a multi-purpose inspection robot;path study of robot obstacle avoidance based on heuristic algorithm;artificial intelligence patrol system for transmission line UAV based on ultraviolet discharge;and research on identification of geological hazards in wide area transmission lines using time-series InSAR.
this article proposes a new Artificial Intelligent (AI) and Machine Learning (ML) based framework for 6G-enabled Intelligent edge computing. the framework will be equipped with multiple cognitive controllers to harmon...
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Facing the development trend of future distributed cloud operations, intelligent operations, and the technical requirements of multi-machine collaborative operations in the aviation field, this paper further studies t...
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A source localization experiment with a group of ground robots is presented in this paper. the process implemented on the robots is shown together with its building blocks which include methods from robotics and contr...
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ISBN:
(纸本)9781665472609
A source localization experiment with a group of ground robots is presented in this paper. the process implemented on the robots is shown together with its building blocks which include methods from robotics and control. the results of the experiments show that the source localization is successful in the presented environment. the workings of the process are explained and an implication about the performance in dependence on the number of robots used is given. A way to use measurements from the mapping phase for source localization is presented which speeds up the localization process and the effect of the tuning parameters is investigated.
the Merge changes Ethereum from Proof-of-Work (PoW) to the more secure and less energy-intensive Proof-of-Stake (PoS) mechanism. However, the existence of malicious validators still threatens the security of Ethereum,...
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ISBN:
(纸本)9798350377859;9798350377842
the Merge changes Ethereum from Proof-of-Work (PoW) to the more secure and less energy-intensive Proof-of-Stake (PoS) mechanism. However, the existence of malicious validators still threatens the security of Ethereum, primarily through a discouragement attack. How can we redesign the incentive mechanism in PoS Ethereum for a more secure blockchain? For this quest, we, for the first time, apply the cutting-edge reinforcement mechanism design method-an interdisciplinary approach at the intersection of reinforcement learning (RL) and mechanism design-to staking mechanism designs. We abstract a generalized staking mechanism as a game environment and implement an RL method for the blockchain as a mechanism designer to explore the optimal incentive design. Our reinforcement mechanism design outperforms the status quo in cultivating honest validators. Furthermore, we identify Advantage Actor-Critic (A2C) as the most efficient RL algorithm among the three alternatives, which intuitively performs better when the initial proportion of honest validator is larger. Our interdisciplinary approach of generalized abstraction could be adapted to analyze the incentive design in any PoS blockchain and beyond.
In the field of distributed system failure prediction, most existing research only focuses on specific categories of failure prediction and cannot predict multiple types of failures simultaneously. In this article, we...
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We developed an intelligent MEMS sensor with data processing ability for data acquisition and conversion at low power consumption. It enables data processing at the sensing device for efficient distributed processing....
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ISBN:
(纸本)9781665409117
We developed an intelligent MEMS sensor with data processing ability for data acquisition and conversion at low power consumption. It enables data processing at the sensing device for efficient distributed processing. We employed a MEMS reservoir which integrates sensing and computing functions in single device structure. In this research we designed a frequency modulated capacitive accelerometer and characterized its frequency response. the measured response was used for simulation of time series prediction and the machine learning task was successfully demonstrated.
作者:
Gogoi, Mriganka
Department of Electronics and Communication Engineering Arunachal Pradesh Nirjuli India
this manuscript outlines the design of a high frequency distributed bands PLL which is applicable for use in various RF communication systems. the proposed PLL comprises of two voltage controlled oscillators (VCOs) op...
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In distributed consensus systems (DCSs), a single peer exposes functionality to other peers to agree on a shared state for a computational problem, such as for cryptocurrencies and distributed file systems. We observe...
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