Pub Date : 2023-10-27DOI: 10.1142/s021812662450138x
YuTing Zhang, Wei Cui
{"title":"A Multi-objective optimization approach for elevator group control systems based on particle swarm algorithm","authors":"YuTing Zhang, Wei Cui","doi":"10.1142/s021812662450138x","DOIUrl":"https://doi.org/10.1142/s021812662450138x","url":null,"abstract":"","PeriodicalId":54866,"journal":{"name":"Journal of Circuits Systems and Computers","volume":"50 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136261563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-27DOI: 10.1142/s0218126624501305
Xiuye Yin, Liyong Chen
{"title":"Image Object detection method based on improved Faster R-CNN","authors":"Xiuye Yin, Liyong Chen","doi":"10.1142/s0218126624501305","DOIUrl":"https://doi.org/10.1142/s0218126624501305","url":null,"abstract":"","PeriodicalId":54866,"journal":{"name":"Journal of Circuits Systems and Computers","volume":"42 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136261597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-27DOI: 10.1142/s0218126624501408
Guihuang Liang, Jingtao Guan
{"title":"FConvNet: leveraging fused convolution for household garbage classification","authors":"Guihuang Liang, Jingtao Guan","doi":"10.1142/s0218126624501408","DOIUrl":"https://doi.org/10.1142/s0218126624501408","url":null,"abstract":"","PeriodicalId":54866,"journal":{"name":"Journal of Circuits Systems and Computers","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136261750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving Haze Detection using Deep Learning based Optimal Contrast Limited Adaptive Histogram Equalization","authors":"Shivani Joshi, Rajiv Kumar, Vipin Rai, Praveen Kumar Rai, Manoj Singhal","doi":"10.1142/s0218126624501378","DOIUrl":"https://doi.org/10.1142/s0218126624501378","url":null,"abstract":"","PeriodicalId":54866,"journal":{"name":"Journal of Circuits Systems and Computers","volume":"7 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136262403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-27DOI: 10.1142/s0218126624501342
B Pushpavanam, S. Kalyani, M.Arul Prasanna, Arun Kumar Sangaiah
{"title":"IoT enabled Deep Learning Algorithm for Estimation of State-of-Charge of Lithium-ion Batteries","authors":"B Pushpavanam, S. Kalyani, M.Arul Prasanna, Arun Kumar Sangaiah","doi":"10.1142/s0218126624501342","DOIUrl":"https://doi.org/10.1142/s0218126624501342","url":null,"abstract":"","PeriodicalId":54866,"journal":{"name":"Journal of Circuits Systems and Computers","volume":"102 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136262221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-27DOI: 10.1142/s0218126624501330
Guangping Qiu, Jincan Li
{"title":"Path planning for unified scheduling of multi-robot based on BSO algorithm","authors":"Guangping Qiu, Jincan Li","doi":"10.1142/s0218126624501330","DOIUrl":"https://doi.org/10.1142/s0218126624501330","url":null,"abstract":"","PeriodicalId":54866,"journal":{"name":"Journal of Circuits Systems and Computers","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136261583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-27DOI: 10.1142/s0218126624501287
Jiao Xu, Xingfeng Fan
{"title":"A Deep Vision Learning-based Intelligent Recognition Method for Dynamic Sports Gestures","authors":"Jiao Xu, Xingfeng Fan","doi":"10.1142/s0218126624501287","DOIUrl":"https://doi.org/10.1142/s0218126624501287","url":null,"abstract":"","PeriodicalId":54866,"journal":{"name":"Journal of Circuits Systems and Computers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136262417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-21DOI: 10.1142/s0218126624501135
Jean Luck Randrianantenaina, Ahmet Yasin Baran, Nimet Korkmaz, Recai Kilic
While using polynomial functions to define window functions is an initial approach in studying the memristor element, it is susceptible to generating imaginary results. However, using window functions, including the trigonometric function, is a current field of research on the memristor element. This paper uses the trigonometric Blackman window function to present a new memristor element model and investigates its nonlinear ion drift model properties. The motivation of this study is the usage of the trigonometric Blackman window function, which presents a more detailed definition and leads to more accurate results in windowing operations. The Blackman window function can address the issues of border locking and terminal state. Numerical simulations have verified this proposed structure. Additionally, the analog realizations of the memristor element constructed with the Blackman window function have been achieved on a Field Programmable Analog Array, which offers fast prototyping, serving as an alternative approach for emulating memristors.
{"title":"A New Nonlinear Ion Drift Model of Memristor Element and its Versatile Analog Reconfigurable Realizations Realizations","authors":"Jean Luck Randrianantenaina, Ahmet Yasin Baran, Nimet Korkmaz, Recai Kilic","doi":"10.1142/s0218126624501135","DOIUrl":"https://doi.org/10.1142/s0218126624501135","url":null,"abstract":"While using polynomial functions to define window functions is an initial approach in studying the memristor element, it is susceptible to generating imaginary results. However, using window functions, including the trigonometric function, is a current field of research on the memristor element. This paper uses the trigonometric Blackman window function to present a new memristor element model and investigates its nonlinear ion drift model properties. The motivation of this study is the usage of the trigonometric Blackman window function, which presents a more detailed definition and leads to more accurate results in windowing operations. The Blackman window function can address the issues of border locking and terminal state. Numerical simulations have verified this proposed structure. Additionally, the analog realizations of the memristor element constructed with the Blackman window function have been achieved on a Field Programmable Analog Array, which offers fast prototyping, serving as an alternative approach for emulating memristors.","PeriodicalId":54866,"journal":{"name":"Journal of Circuits Systems and Computers","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135463232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-20DOI: 10.1142/s0218126624300034
Haozheng Yu, Bing Fan, Bing Xu, Xiaogang Zhu
Image sharpening detection, as a crucial branch of image forensics research, has attained a satisfactory level of performance with the assistance of deep learning. However, due to the nature of convolutional neural network (CNN) models, adversarial examples synthesized by generative adversarial networks (GANs) can easily attack existing forensics models. Therefore, deep learning-based forensics faces new challenges. In this paper, a novel architecture inspired by ConvNext is proposed to detect synthesized adversarial USM sharpening images. Through practical demonstration, our proposed technique achieves satisfying performance in recognizing adversarial samples that outperform previous sharpened image forensic systems. In addition, we have undertaken an ablation analysis of our suggested network topology and analyzed the efficacy of different enhancements.
{"title":"SharpenNet: Detecting Anti-forensics USM Sharpening Adversarial Examples based on ConvNeXt","authors":"Haozheng Yu, Bing Fan, Bing Xu, Xiaogang Zhu","doi":"10.1142/s0218126624300034","DOIUrl":"https://doi.org/10.1142/s0218126624300034","url":null,"abstract":"Image sharpening detection, as a crucial branch of image forensics research, has attained a satisfactory level of performance with the assistance of deep learning. However, due to the nature of convolutional neural network (CNN) models, adversarial examples synthesized by generative adversarial networks (GANs) can easily attack existing forensics models. Therefore, deep learning-based forensics faces new challenges. In this paper, a novel architecture inspired by ConvNext is proposed to detect synthesized adversarial USM sharpening images. Through practical demonstration, our proposed technique achieves satisfying performance in recognizing adversarial samples that outperform previous sharpened image forensic systems. In addition, we have undertaken an ablation analysis of our suggested network topology and analyzed the efficacy of different enhancements.","PeriodicalId":54866,"journal":{"name":"Journal of Circuits Systems and Computers","volume":"34 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135514096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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