The Command Interpretation in Decomposition Method of Multi-Channel Control for a Robotic Device

Voznenko, Timofei I.; Gridnev, Alexander A.; Chepin, Eugene V.; Kudryavtsev, Konstantin Y.

doi:10.1016/j.procs.2020.02.127

Cited by 5 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is because the method in this paper adopts load balancing scheduling to realize the compensation and adjustment of the joint autocorrelation dynamic characteristic parameters of the blockchain Internet of Things in the port area to improve the energy efficiency input effect. The maximum value of the cross-chain energy efficiency output of the Internet of Things in the port blockchain is 9Mbps, which is 10.2Mbps in the method of reference 22 and 10.9Mbps in the method of reference 23 . This is because the method in this paper realizes the interference suppression of the CCT of the Internet of Things in port blockchain according to the MFJL algorithm and effectively reduces the energy efficiency output.…”

Section: Methods Of This Papermentioning

confidence: 99%

“…In the process of CCT of blockchain IoT in the port area 1 ,it is easily affected by the environment's and links' mismatched characteristics, which leads to poor reliability and timeliness of CCT of blockchain IoT in the port area 23 .It is necessary to build an optimized control model of CCT of blockchain IoT in the port area, combine parameter-balanced configuration and adaptive link-balanced design, realize the balanced control of CCT delay and links in the port area, and improve the quality of CCT and communication of blockchain IoT in the port area. It is significant to study the control method of CCT of blockchain IoT in the port area to promote the output stability and spatial balance of CCT of blockchain IoT in the port area 45 .…”

Section: Introductionmentioning

confidence: 99%

“…Finally, the simulation test analysis shows this method's superiority in improving the port blockchain IoT's CCT control performance. 23 puts forward a method of information interpretation. Multi-channel control is the multi-channel control of machinery and equipment, optimizing parameters and expanding BCI, but it takes a long time to calculate.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enhanced Efficiency and Security in Cross-Chain Transmission of Blockchain Internet of Ports through Multi-Feature-Based Joint Learning

Xie,

Zhang,

Liu

2024

Preprint

View full text Add to dashboard Cite

To enhance the timeliness of cross-chain transmission (CCT) in port blockchain Internet of Things (IoT), this study proposes a load adaptive control method tailored for CCT within port blockchain IoT networks. It establishes a balanced configuration model for CCT links within the blockchain IoT framework in port areas. The method facilitates compensation and adjustment of joint autocorrelation dynamic parameters pertinent to blockchain IoT devices within port environments through load-balancing scheduling techniques. Furthermore, it examines the correlation constraint parameter characteristics governing CCT control of blockchain IoT within port zones. Leveraging parameter estimation and priority scheduling methodologies for blockchain IoT CCT links, the study employs multi-feature joint learning (MFJL) to construct a load estimation model specific to CCT within port blockchain IoT settings. Moreover, the interference suppression of blockchain IoT CCT in port areas is addressed via the MFJL algorithm, which also facilitates the analysis of distinct characteristic components of cross-chain switching channels. The study implements adaptive multi-channel joint bus control and link balance designs for blockchain IoT CCT within port locales through grid scheduling and cross-chain parameter fusion methods. These endeavours aim to enhance the balance and real-time performance of blockchain IoT CCT within port zones. Simulation outcomes demonstrate notable efficacy, with the average input value of cross-chain energy efficiency for blockchain IoT in port areas reaching 5Mbps, the highest output value peaking at 9Mbps, and the average CCT queue length hovering around 1dB. Additionally, the energy consumption of blockchain IoT devices in port areas is observed to decrease by 1KJ by adopting this methodology.

show abstract

Section: Methods Of This Papermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enhanced Efficiency and Security in Cross-Chain Transmission of Blockchain Internet of Ports through Multi-Feature-Based Joint Learning

Xie,

Zhang,

Liu

2024

Preprint

View full text Add to dashboard Cite

show abstract

Comparison Between Coordinated Control and Interpretation Methods for Multi-channel Control of a Mobile Robotic Device

Voznenko

Gridnev

Chepin

et al. 2020

Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020

View full text Add to dashboard Cite

Модификация Алгоритма Интерпретации Команд Для Многоканального Человеко-Машинного Интерфейса

Возненко

2023

Вестник

View full text Add to dashboard Cite

В случае параллельного использования нескольких интерфейсов человеко-машинного взаимодействия существует задача выбора команды, при распознавании противоречивых команд, приходящих с различных интерфейсов. Для решения данной задачи может быть использован алгоритм декомпозиции. В случае декомпозиции для оператора выбирается наиболее эффективно работающая комбинация команд-интерфейсов, а остальные комбинации игнорируются. Существует улучшение алгоритма декомпозиции: алгоритм интерпретации команд, в котором данные игнорируемые комбинации используются для улучшения эффективности работы интерфейсов. В данной статье рассмотрены алгоритмы декомпозиции и интерпретации команд для многоканального человеко-машинного интерфейса, составлены и проанализированы блок-схемы работы данных алгоритмов. На основе данного анализа была предложена модификация алгоритма интерпретации команд для многоканального человеко-машинного интерфейса. Данная модификация позволяет уменьшить количество вычислений для исследования возможности интерпретации игнорируемой команды. Для сравнения существующего алгоритма интерпретации команд и его разработанной модификации был проведен ряд экспериментов, на основе сгенерированных матриц ошибок. Была показана целесообразность использования модифицированного алгоритма для высокоэффективно работающих интерфейсов.

show abstract

The Command Interpretation in Decomposition Method of Multi-Channel Control for a Robotic Device

Cited by 5 publications

References 5 publications

Enhanced Efficiency and Security in Cross-Chain Transmission of Blockchain Internet of Ports through Multi-Feature-Based Joint Learning

Enhanced Efficiency and Security in Cross-Chain Transmission of Blockchain Internet of Ports through Multi-Feature-Based Joint Learning

Comparison Between Coordinated Control and Interpretation Methods for Multi-channel Control of a Mobile Robotic Device

Модификация Алгоритма Интерпретации Команд Для Многоканального Человеко-Машинного Интерфейса

Contact Info

Product

Resources

About