60-GHz third-order on-chip bandpass filter using GaAs pHEMT technology

There can be many inherent issues in the process of managing cloud infrastructure and the platform of the cloud. The platform of the cloud manages cloud software and legality issues in making contracts. The platform also handles the process of managing cloud software services and legal contract-based segmentation. In this paper, we tackle these issues directly with some feasible solutions. For these constraints, the Averaged One-Dependence Estimators (AODE) classifier and the SELECT Applicable Only to Parallel Server (SELECT-APSL ASA) method are proposed to separate the data related to the place. ASA is made up of the AODE and SELECT Applicable Only to Parallel Server. The AODE classifier is used to separate the data from smart city data based on the hybrid data obfuscation technique. The data from the hybrid data obfuscation technique manages 50% of the raw data, and 50% of hospital data is masked using the proposed transmission. The analysis of energy consumption before the cryptosystem shows the total packet delivered by about 71.66% compared with existing algorithms. The analysis of energy consumption after cryptosystem assumption shows 47.34% consumption, compared to existing state-of-the-art algorithms. The average energy consumption before data obfuscation decreased by 2.47%, and the average energy consumption after data obfuscation was reduced by 9.90%. The analysis of the makespan time before data obfuscation decreased by 33.71%. Compared to existing state-of-the-art algorithms, the study of makespan time after data obfuscation decreased by 1.3%. These impressive results show the strength of our methodology.

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“…Each character in the cipher text has an identical plaintext. The plain text and CipherText data sizes may differ [ 30 , 31 , 32 ].…”

Section: Proposed Smart City Data Acquisitionmentioning

confidence: 99%

Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation

Thirumalaisamy

Basheer

Shitharth

et al. 2022

Sensors

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“…The objective is to minimize operating and construction costs of RSs and the blackout cost caused by system outages against natural disasters. It is assumed that there is a smart platform [24][25][26] to coordinate network elements with its operator. This platform is based on Telecommunications equipment [27][28][29].…”

Section: Rcgtep Modelmentioning

confidence: 99%

Co‐planning of generation and transmission expansion planning for network resiliency improvement against extreme weather conditions and uncertainty of resiliency sources

Seyyedi

Rashid

Akbari

et al. 2022

IET Generation Trans & Dist

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Generation and transmission expansion increase the flexibility of power systems and hence their ability to deal with contingency. This paper presents a resilient‐constrained generation and transmission expansion planning (RCGTEP) model considering the occurrence of earthquakes and floods. The proposed model minimizes the investment and operation costs of resiliency sources (RSs) and resiliency (blackout) costs arising from the outage of the network against the occurrence of extreme conditions. For further consideration, uncertainties of load and RSs availability are included as a Stochastic programming model. A hybrid solver of teaching‐learning‐based optimization (TLBO) and krill herd optimization (KHO) is used to solve the proposed problem and achieve the optimal solution, including a low standard deviation in the final optimal response. The model is tested using a modified version of the IEEE 6‐Bus and IEEE 89‐Bus transmission networks. Numerical results show the potential of the mentioned approach to improve indices of operation, economics, and resiliency in the transmission network.

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“…If the web portal information is long, the number of features n of the web portal information will be large, and the process of the web portal information retrieval will become extremely complex. erefore, we need to select the main features to represent the web portal information, and reduce the feature dimension of the web portal information [27,28]. In the process of retrieval, the evaluation function is usually used to select the features of the web portal information.…”

Section: Implementation Of Web Portal Information Retrievalmentioning

confidence: 99%

Fast Retrieval Method of Portal Information Based on a Chaotic Genetic Algorithm

Zhao

Tai

2022

Mathematical Problems in Engineering

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The traditional retrieval method cannot respond to the influence of the change in the portal website’s information characteristics, resulting in low efficiency. In this regard, a fast information retrieval method based on a chaotic genetic algorithm is proposed. According to the relevant theory of association rules, the correlation between information data of dynamic portal websites is calculated; different portal website information is retrieved based on the Markov model output; a chaotic genetic algorithm is used to fuse different portal website information. The information data constructs a decision tree for rapid retrieval of portal information, uses the vector form to express the characteristics of portal information, and finally realizes the rapid retrieval of portal information. The experimental results show that the designed method takes up to 15 ms when the sample complexity is high, which shows that the designed method has high efficiency and is of great significance in practical applications.

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60-GHz third-order on-chip bandpass filter using GaAs pHEMT technology

Cited by 33 publications

References 19 publications

Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation

Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation

Co‐planning of generation and transmission expansion planning for network resiliency improvement against extreme weather conditions and uncertainty of resiliency sources

Fast Retrieval Method of Portal Information Based on a Chaotic Genetic Algorithm

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