Fusion algorithms and high-performance applications for vehicular cloud computing

Park, Namje

doi:10.1007/s11227-018-2270-4

Cited by 8 publications

(2 citation statements)

References 23 publications

(20 reference statements)

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“…e rapid promotion of the current Internet of things technology has pushed human beings into the information society, international exchanges and cooperation have become increasingly close, and a large number of materials and documents can be seen everywhere on the Internet [16,17]. When translating related scientific and technological materials, many professional terms will be encountered, and the quality of terminology translation will directly affect consumers' learning of related professional technologies.…”

Section: English Translation Methods Of the Fusionmentioning

confidence: 99%

Design of an Automatic Evaluation System for English Translation Based on Artificial Intelligence Fusion Control Algorithm

Rigui

Bao

2022

International Transactions on Electrical Energy Systems

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In the process of globalization, language plays an increasingly important role in international communication. As a global language, English involves many fields, so the translation of English is very important. Not all translations can be used, and the quality of the translation must be accurate. Therefore, it is necessary to evaluate the quality of the translation of the translation system. Only when it reaches a certain level can it meet the application standard. The automatic evaluation system is a specific application of intelligent information processing technology. The system can automatically complete the compilation and feed back the system space-time resource information consumed by the user to the user in time, so that the user can check the pros and cons of the algorithm. The purpose of this article is to study the design and research of the English translation automatic evaluation system based on the artificial intelligence fusion control algorithm, and it was expected to combine the artificial intelligence fusion algorithm with the automatic evaluation of the English translation system. In this way, the traditional evaluation efficiency of translation could be further improved and the consumption of human resources can be reduced. Data fusion refers to an information processing technology that uses a computer to automatically analyze and synthesize several observational information obtained in time series under certain criteria to complete the required decision-making and evaluation tasks. This article proposed an automatic terminology translation method based on central word constraints aimed at the different linguistic characteristics of English and Chinese terms; the materials were sequenced before translation. The macroevaluation index was also introduced into the machine translation fusion method to achieve a balance between the robustness and effectiveness of the translation fusion technology. The experimental results of this article showed that under the traditional evaluation system, the response time of the system was 5.5 s and 6.3 s when the number of translations to be judged was 9 sentences and 11 sentences, respectively, whereas under the fusion control method, it was 4.1 s and 4.6 s, respectively. Therefore, the system evaluation efficiency under the fusion control algorithm was higher.

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Section: English Translation Methods Of the Fusionmentioning

confidence: 99%

Design of an Automatic Evaluation System for English Translation Based on Artificial Intelligence Fusion Control Algorithm

Rigui

Bao

2022

International Transactions on Electrical Energy Systems

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“…Vehicular CC (VCC)was introduced to trounce the mobility problem of VANET due to high-speed vehicles on the network. VCC signifies the latest hybrid technology, which includes a variety of network combinations like wireless sensor networks, VANET, and mobile ad hoc networks, [5,6] along with CC [7] [8]. VCC is employed for making vehicles work mutually to reach the storage together with the computational requirements of varied applications [9].…”

Section: Introductionmentioning

confidence: 99%

A novel clustering and optimal resource scheduling in vehicular cloud networks using MKMA and the CM‐CSO algorithm

Kouser

Manikandan²

2023

Int J Communication

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Summary Various opportunities aimed at the employment of delay‐sensitive applications in the vehicular environment are presented by the vehicular cloud (VC). Contrary to diverse wireless networks, VC networks possess exceptional features among others, namely, shorter transmission time along with a higher dynamic topology. Although integration with the cloud offers higher storage along with computation capabilities, it as well entails restricted resource availability. The restrictions on the number of resources serve as a challenge in servicing the applications with their necessary quality of service (QoS) guarantees as the number of service requests for applications keeps on augmenting with diverse circumstances. Thus, the need for an effective scheduling methodology arises to decide the sequence of servicing application requests and successful utilization of a broadcast medium, along with data transmission. To do efficient resource scheduling on VC networks, an optimization algorithm, namely, the crossover and mutation (CM)‐centered chicken swarm optimization (CSO) is proposed and implemented with the help of a publicly available dataset. Initially, the VC infrastructure is initialized and some vehicle information is extracted as features. Next, the Brownian motion‐centered bacteria foraging optimization (BM‐BFO) algorithm chooses the essential features. Centered on the chosen features, the vehicles are clustered using the modified K‐means algorithm. Next, as for the cloud server's virtual machines (VMs), the resource information is extracted. Lastly, the CM‐CSO algorithm carries out the optimal scheduling in the VC by means of the clustered features of vehicles and features of the VM. The proposed techniques' findings are scrutinized and analogized to the other prevailing methodologies to confirm that the proposed work performs effectively and gives optimal resource allocation (RA) to the VC.

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A survey of local differential privacy for securing internet of vehicles

et al. 2019

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Fusion algorithms and high-performance applications for vehicular cloud computing

Cited by 8 publications

References 23 publications

Design of an Automatic Evaluation System for English Translation Based on Artificial Intelligence Fusion Control Algorithm

Design of an Automatic Evaluation System for English Translation Based on Artificial Intelligence Fusion Control Algorithm

A novel clustering and optimal resource scheduling in vehicular cloud networks using MKMA and the CM‐CSO algorithm

A survey of local differential privacy for securing internet of vehicles

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