{"title":"Hysteretic quantised security control for PDE systems under replay attacks","authors":"Ganghui Lu, Xiaona Song, Shuai Song","doi":"10.1080/23335777.2024.2306644","DOIUrl":"https://doi.org/10.1080/23335777.2024.2306644","url":null,"abstract":"","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"86 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139593707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Maximum elastic scheduling of virtual machines in general graph cloud data center networks","authors":"Yusuf Qwareeq, Abdalaziz Sawwan, Jie Wu","doi":"10.1080/23335777.2023.2301106","DOIUrl":"https://doi.org/10.1080/23335777.2023.2301106","url":null,"abstract":"The assignment of task resources has drawn a lot of attention in the applications of cloud-based data center networks (DCNs). In this work, we provide a novel method that evaluates the maximum admissible load (MAL) given a set of virtual machines (VMs) in physical machines (PMs). This is the first study that considers the general case of DCNs with no constraints on their topologies, contrary to previous research. We prove that this problem can be reduced to a single-source, multiple-sink maximum flow problem. In addition, we find the optimal load assignment that supports the maximum uniform growth rate without resorting to task reassignment to PMs. This is called the maximum elastic scheduling problem. A new effective strategy is devised to solve the two problems. We demonstrate the efficiency of its performance using an extensive simulation.","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"78 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139387155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Time-to-approach-based model predictive controller for autonomous vehicle safety during unexpected wheelchairs on the path","authors":"Mhafuzul Islam, Mashrur Chowdhury, Mizanur Rahman, Zadid Khan","doi":"10.1080/23335777.2023.2264347","DOIUrl":"https://doi.org/10.1080/23335777.2023.2264347","url":null,"abstract":"ABSTRACTThe objectives of this study are to (i) develop a Time-to-Approach (TTA)-based Model Predictive Controller (MPC) for an Autonomous Vehicle (AV) to safely navigate around an unexpected wheelchair on its path and (ii) develop a prediction model to forecast a wheelchair's paths and potential collisions between it and an AV. Our analyses reveal that the TTA-based MPC enhances safety by reducing collision potential between an AV and a wheelchair by 44% when compared to the traditional distance-based MPC, as measured by the lateral deviation of an AV from the potential collision location. Furthermore, our approach improves passenger comfort by an average of 62% compared to the distance-based MPC.KEYWORDS: People with disabilityAutonomous vehiclesafetynavigationmodel predictive controller AcknowledgmentsThis study is partially supported by the Center for Connected Multimodal Mobility (C2M2) (USDOT Tier 1 University Transportation Center) Grant headquartered at Clemson University, Clemson, South Carolina, USA. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Center for Connected Multimodal Mobility (C2M2), and the U.S. Government assumes no liability for the contents or use thereof.Disclosure statementNo potential conflict of interest was reported by the author(s).Author contributionsThe authors confirm contribution to the paper as follows: study conception and design: M. Islam, M. Chowdhury, M. Rahman, and Z. Khan.; data collection: M. Islam and Z. Khan.; interpretation of results: M. Islam, M. Chowdhury, M. Rahman, and Z. Khan; draft manuscript preparation: M. Islam, M. Chowdhury, M. Rahman, and Z. Khan. All authors reviewed the results and approved the final version of the manuscript.","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"57 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135266839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Incremental segmented slope residential load pattern clustering based on three-stage curve profiles","authors":"Jue Hou, Tingzhe Pan, Xinlei Cai, Xin Jin, Zijie Meng, Hongxuan Luo","doi":"10.1080/23335777.2023.2263502","DOIUrl":"https://doi.org/10.1080/23335777.2023.2263502","url":null,"abstract":"ABSTRACTThis paper tackles high computational complexity in using Euclidean distance for residential load profiles (RLPs) similarity by proposing a three-stage incremental segmented slope clustering framework. The first two stages involve static clustering, where we obtain typical residential load profiles through piecewise slope clustering. In the third stage, dynamic clustering is performed based on the slope similarity of RLPs. This method enhances clustering performance and reduces computation cost, outperforming various benchmarks, with simulation results confirming the framework's effectiveness.KEYWORDS: Residential load profilesthree-stage segmented slope clusteringincremental pattern clusteringslope similarity Nomenclature σ(dia,dib)=a metric that evaluates if the slope aspect of xit on day a and day b at time j is identical or notadvd=the average deviation of Ud from the minimum value of each columnadvs=the average deviation of Us from the minimum value of each columncir=the r-th clustering centre obtained after clustering user i in the first stagecci=the final TRLPs of all customers in the static data setdijt=the slope direction of the j-th segment of xitdxj=the deviation between Gj and its maximum value max(Gj)fd,j=the deviation of an element in Ujd from its minimum value min(Ujd)fs,j=the deviation of an element in Ujs from its minimum value min(Ujs)G=segmented slope co-directional matrixg(dia,dib)=the number of slope segments with the same direction on day a and day b of xitgij=the number of segmented slopes in the same direction on the i-th and j-th days of the userki=the number of categories after the first stage clusteringpijt=the slope steepness of the j-th segment of xituaqd=the average slope difference between the RLP a and the clustering centre q in different slope direction sectionuaqs=the average slope difference between the RLP a and the clustering centre q in the same slope direction sectionUjd=the average slope dissimilarity between other t curves and jUjs=the average slope similarity between other t curves and jxit=the RLPs of user i on the t-th dayz=the number of current TRLPsDBI=Davidson-Boding IndexISSC=Incremental Segmented Slope ClusteringRLP=Residential Load ProfileSOM=Self-Organizing MapSSC=Segmented Slope ClusteringTRLP=Typical Residential Load ProfileWSOM=Weighted Self-Organizing MapDisclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by the China Southern Power Grid Company Limited under the Grant No. 036000KK52222009 (GDKJXM20222125).","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135738822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bhagyesh B. Deshmukh, Vijay A. Athavale, Aditya R. Vernekar, Yash R. Katkar, Anirudha K. Jahagirdar, Yash C. Waghmare, Sachin Salunkhe, Sharad Gawade
{"title":"Development of a digital twin of heat energy storage and retrieval system for performance evaluation through AR-based simulation","authors":"Bhagyesh B. Deshmukh, Vijay A. Athavale, Aditya R. Vernekar, Yash R. Katkar, Anirudha K. Jahagirdar, Yash C. Waghmare, Sachin Salunkhe, Sharad Gawade","doi":"10.1080/23335777.2023.2260804","DOIUrl":"https://doi.org/10.1080/23335777.2023.2260804","url":null,"abstract":"ABSTRACTThe research introduces an innovative method for creating a digital twin (DT) of heat energy storage and retrieval system (HESRS) for real-time monitoring and performance analysis. The HESRS, type of HVAC system, is evaluated based on parameters like stored heat energy, heat extraction via heat transfer fluid (HTF), and Phase Change Material (PCM) temperatures. Data from temperature sensors is sent to the cloud in real-time. A reduced-order model (ROM) analyses it on the cloud and sends results to an Android app. The DT is then simulated in augmented reality through our app, Twin-X, marking distinctive approach to digital twin development.KEYWORDS: Digital TwinIoTaugmented reality (AR)reduced order modelcloud computing AcknowledgmentsThis research is part of the project entitled ‘Development of a solar-based “Thermal Energy Storage (TES)” system using Phase Change Material (PCM) concerning textile industry’ funded by PAH Solapur University, Solapur. We acknowledge the support extended by PAH Solapur University, Solapur.Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135925663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of a single input control signal for fault-tolerant synchronization of fractional order hyperchaotic Lu system","authors":"A. Sabaghian, S. Balochian, M. Alishahi","doi":"10.1080/23335777.2023.2244966","DOIUrl":"https://doi.org/10.1080/23335777.2023.2244966","url":null,"abstract":"","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82451137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ênio Vasconcelos Filho, Ricardo Severino, Pedro M. Salgueiro dos Santos, A. Koubâa, E. Tovar
{"title":"Cooperative vehicular platooning: a multi-dimensional survey towards enhanced safety, security and validation","authors":"Ênio Vasconcelos Filho, Ricardo Severino, Pedro M. Salgueiro dos Santos, A. Koubâa, E. Tovar","doi":"10.1080/23335777.2023.2214584","DOIUrl":"https://doi.org/10.1080/23335777.2023.2214584","url":null,"abstract":"","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85507692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dual-path recommendation algorithm based on CNN and attention-enhanced LSTM","authors":"Huimin Li, Yongyi Cheng, Hongjie Ni, Dan Zhang","doi":"10.1080/23335777.2023.2177750","DOIUrl":"https://doi.org/10.1080/23335777.2023.2177750","url":null,"abstract":"","PeriodicalId":37058,"journal":{"name":"Cyber-Physical Systems","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84903698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}