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Interval Type-2 Fuzzy Model for Intelligent Fire Intensity Detection Algorithm with Decision Making in Low-Power Devices

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Intelligent Automation & Soft Computing 2023年第10期38卷 57-81页

作者： Emmanuel Lule Chomora Mikeka Alexander Ngenzi Didacienne Mukanyiligira African Center of Excellence in Internet of Things(ACEIoT) College of Science&TechnologyUniversity of RwandaNyarugenge-Kigali3900Rwanda Department of Computer Science College of Computing&Information SciencesMakerere UniversityKampala7062Uganda Directorate of Science Technology&Innovation(DSTI)Ministry of EducationMalawiLilongwe328Malawi Department of Computer&Software Engineering College of Science&TechnologyUniversity of RwandaNyarugenge-Kigali3900Rwanda National Council for Science&Technology(NCST) Government of RwandaKigali2285Rwanda

Local markets in East Africa have been destroyed by raging fires,leading to the loss of life and property in the nearby *** circuits,arson,and neglected charcoal stoves are the major causes of these *** methods,i.e.,satellites,are expensive to maintain and cause unnecessary ***,unit-smoke detectors are highly prone to false *** this paper,an Interval Type-2 TSK fuzzy model for an intelligent lightweight fire intensity detection algorithm with decision-making in low-power devices is proposed using a sparse inference rules approach.A free open–source MATLAB/Simulink fuzzy toolbox integrated into MATLAB 2018a is used to investigate the performance of the Interval Type-2 fuzzy *** crisp input parameters,namely:FIT and FIG��are *** show that the Interval Type-2 model achieved an accuracy value of FIO�=98.2%,MAE=1.3010,MSE=1.6938 and RMSE=1.3015 using regression *** study shall assist the firefighting personnel in fully understanding and mitigating the current level of fire *** a result,the proposed solution can be fully implemented in low-cost,low-power fire detection systems to monitor the state of fire with improved accuracy and reduced false *** informed decision-making in low-cost fire detection devices,early warning notifications can be provided to aid in the rapid evacuation of people,thereby improving fire safety surveillance,management,and protection for the market community.

关键词： Interval type-2(IT2)fuzzy systems mean absolute error(MAE) mean square error(MSE) root mean square

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Let’s all dance:Enhancing amateur dance motions

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Computational Visual Media 2023年第3期9卷 531-550页

作者： Qiu Zhou Manyi Li Qiong Zeng Andreas Aristidou Xiaojing Zhang Lin Chen Changhe Tu School of Computer Science&Technology Shandong UniversityQingdao 266000China School of Software Shandong UniversityJinan 250101China Department of Computer Science University of CyprusNicosia 1678Cyprus CYENS Centre of Excellence Nicosia 1016Cyprus Qingdao Institute of Humanities and Social Sciences Shandong UniversityQingdao 266000China.

Professional dance is characterized by high impulsiveness,elegance,and aesthetic *** order to reach the desired professionalism,it requires years of long and exhausting practice,good physical condition,musicality,but also,a good understanding of *** dance motions and transferring them to digital avatars is commonly used in the film and entertainment ***,so far,access to high-quality dance data is very limited,mainly due to the many practical difficulties in capturing the movements of dancers,making it prohibitive for largescale data *** this paper,we present a model that enhances the professionalism of amateur dance movements,allowing movement quality to be improved in both spatial and temporal *** model consists of a dance-to-music alignment stage responsible for learning the optimal temporal alignment path between dance and music,and a dance-enhancement stage that injects features of professionalism in both spatial and temporal *** learn a homogeneous distribution and credible mapping between the heterogeneous professional and amateur datasets,we generate amateur data from professional dances taken from the AIST++*** demonstrate the effectiveness of our method by comparing it with two baseline motion transfer methods via thorough qualitative visual controls,quantitative metrics,and a perceptual *** also provide temporal and spatial module analysis to examine the mechanisms and necessity of key components of our framework.

关键词： animation music-to-motion alignment dance motion enhancement dance motion analysis

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Privacy Enhanced Mobile User Authentication Method Using Motion Sensors

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computer Modeling in Engineering & sciences 2024年第3期138卷 3013-3032页

作者： Chunlin Xiong Zhengqiu Weng Jia Liu Liang Gu Fayez Alqahtani Amr Gafar Pradip Kumar Sharma Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen518052China Sangfor Technologies Inc. Shenzhen518055China School of Data Science and Artificial Intelligence Wenzhou University of TechnologyWenzhou325035China College of Computer Science&Technology Zhejiang University of TechnologyHangzhou310023China Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Math&Computer Science Department Faculty of ScienceMenofia UniversityShebin El-KomEgypt Computing Science Department University of AberdeenAberdeenUK

With the development of hardware devices and the upgrading of smartphones,a large number of users save privacy-related information in mobile devices,mainly smartphones,which puts forward higher demands on the protection of mobile users’privacy *** present,mobile user authenticationmethods based on humancomputer interaction have been extensively studied due to their advantages of high precision and non-perception,but there are still shortcomings such as low data collection efficiency,untrustworthy participating nodes,and lack of *** this end,this paper proposes a privacy-enhanced mobile user authentication method with motion sensors,which mainly includes:(1)Construct a smart contract-based private chain and federated learning to improve the data collection efficiency of mobile user authentication,reduce the probability of the model being bypassed by attackers,and reduce the overhead of data centralized processing and the risk of privacy leakage;(2)Use certificateless encryption to realize the authentication of the device to ensure the credibility of the client nodes participating in the calculation;(3)Combine Variational Mode Decomposition(VMD)and Long Short-TermMemory(LSTM)to analyze and model the motion sensor data of mobile devices to improve the accuracy of model *** experimental results on the real environment dataset of 1513 people show that themethod proposed in this paper can effectively resist poisoning attacks while ensuring the accuracy and efficiency of mobile user authentication.

关键词： Mobile authentication blockchain federated learning smart contract certificateless encryption VMD LSTM

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The construction of orthodox super rpp semigroups

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science China Mathematics 2004年第4期47卷 552-565页

作者： He Yong Guo Yuqi Kar Ping Shum School of Computer Science Hunan University of Science&TechnologyXiangtan 411201China Department of Mathematics Southwest Normal UniversityChongqing 400715China Department of Mathematics Soochow UniversitySuzhou 215000China Faculty of Science The Chinese University of Hong KongShatinN.T.Hong KongChina

We define orthodox super rpp semigroups and study their semilattice decompositions. Standard representation theorem of orthodox super rpp semigroups whose subband of idempotents is in the varieties of bands described ... 详细信息

关键词： orthodox super rpp semigroup, band-like extension, left cancellative plank, semilattice decomposition, standard representation.

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MSEs Credit Risk Assessment Model Based on Federated Learning and Feature Selection

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computers, Materials & Continua 2023年第6期75卷 5573-5595页

作者： Zhanyang Xu Jianchun Cheng Luofei Cheng Xiaolong Xu Muhammad Bilal School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory Novel Software Technology Nanjing UniversityNanjing210023China Department of Computer and Electronics Systems Engineering Hankuk University of Foreign StudiesYongin-siGyeonggi-do17035Korea

Federated learning has been used extensively in business inno-vation scenarios in various *** research adopts the federated learning approach for the first time to address the issue of bank-enterprise information asymmetry in the credit assessment ***,this research designs a credit risk assessment model based on federated learning and feature selection for micro and small enterprises(MSEs)using multi-dimensional enterprise data and multi-perspective enterprise *** proposed model includes four main processes:namely encrypted entity alignment,hybrid feature selection,secure multi-party computation,and global model ***,a two-step feature selection algorithm based on wrapper and filter is designed to construct the optimal feature set in multi-source heterogeneous data,which can provide excellent accuracy and *** addition,a local update screening strategy is proposed to select trustworthy model parameters for aggregation each time to ensure the quality of the global *** results of the study show that the model error rate is reduced by 6.22%and the recall rate is improved by 11.03%compared to the algorithms commonly used in credit risk research,significantly improving the ability to identify ***,the business operations of commercial banks are used to confirm the potential of the proposed model for real-world implementation.

关键词： Federated learning feature selection credit risk assessment MSEs

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A Novel High-Efficiency Transaction Verification Scheme for Blockchain Systems

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computer Modeling in Engineering & sciences 2024年第5期139卷 1613-1633页

作者： Jingyu Zhang Pian Zhou Jin Wang Osama Alfarraj Saurabh Singh Min Zhu School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410015China Science and Technology on Information Systems Engineering Laboratory School of Systems EngineeringNational University of Defense TechnologyChangsha410073China Computer Science Department King Saud UniversityRiyadh11437Saudi Arabia Department of Artificial Intelligence and Big Data Woosong UniversityDaejeon34606South Korea College of Information Science and Technology Zhejiang Shuren UniversityHangzhou310015China

Blockchain can realize the reliable storage of a large amount of data that is chronologically related and verifiable within the *** technology has been widely used and has developed rapidly in big data systems across various *** increasing number of users are participating in application systems that use blockchain as their underlying *** the number of transactions and the capital involved in blockchain grow,ensuring information security becomes *** the verification of transactional information security and privacy has emerged as a critical ***-based verification methods can effectively eliminate the need for centralized third-party ***,the efficiency of nodes in storing and verifying blockchain data faces unprecedented *** address this issue,this paper introduces an efficient verification scheme for transaction ***,it presents a node evaluation module to estimate the activity level of user nodes participating in transactions,accompanied by a probabilistic analysis for all ***,this paper optimizes the conventional transaction organization form,introduces a heterogeneous Merkle tree storage structure,and designs algorithms for constructing these heterogeneous *** analyses and simulation experiments conclusively demonstrate the superior performance of this *** verifying the same number of transactions,the heterogeneous Merkle tree transmits less data and is more efficient than traditional *** findings indicate that the heterogeneous Merkle tree structure is suitable for various blockchain applications,including the Internet of *** scheme can markedly enhance the efficiency of information verification and bolster the security of distributed systems.

关键词： Blockchain architecture transaction verification information security heterogeneous Merkle tree distributed systems

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A Fusion Steganographic Algorithm Based on Faster R-CNN

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computers, Materials & Continua 2018年第4期55卷 1-16页

作者： Ruohan Meng Steven G.Rice Jin Wang Xingming Sun School of Computer and Software Nanjing University of Information Science and TechnologyNing Liu RoadNo.219Nanjing210044China Jiangsu Engineering Centre of Network Monitoring Ning Liu RoadNo.219Nanjing210044China Department of Mathematics and Computer Science Northeastern State University TahlequahOK 74464USA School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China

The aim of information hiding is to embed the secret message in a normal cover media such as image,video,voice or text,and then the secret message is transmitted through the transmission of the cover *** secret message should not be damaged on the process of the cover *** order to ensure the invisibility of secret message,complex texture objects should be chosen for embedding *** this paper,an approach which corresponds multiple steganographic algorithms to complex texture objects was presented for hiding secret ***,complex texture regions are selected based on a kind of objects detection ***,three different steganographic methods were used to hide secret message into the selected block *** results show that the approach enhances the security and robustness.

关键词： Faster R-CNN fusion steganography object detection CNNs information hiding.

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MCC: A Message and Command Correlation Method for Identifying New Interactive Protocols via Session Analyses

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Tsinghua science and technology 2012年第3期17卷 344-353页

作者： Chenglong Li Yibo Xue Yingfei Dong Dongsheng Wang Tsinghua National Lab for Information Science and Technology(TNList) Beijing 100084China Research Institute of Information Technology(RIIT) Tsinghua UniversityBeijing 100084China Department of Computer Science&Technology Tsinghua UniversityBeijing 100084China Department of Electrical Engineering University of HawaiiHonoluluHI 96822USA

Traffic classification is critical to effective network management. However, more and more pro- prietary, encrypted, and dynamic protocols make traditional traffic classification methods less effective. A Message and Command Correlation （MCC） method was developed to identify interactive protocols （such as P2P file sharing protocols and Instant Messaging （IM） protocols） by session analyses. Unlike traditional packet-based classification approaches, this method exploits application session information by clustering packets into application messages which are used for further classification. The efficacy and accuracy of the MCC method was evaluated with real world traffic, including P2P file sharing protocols Thunder and Bit- Torrent, and IM protocols QQ and GTalk. The tests show that the false positive rate is less than 3% and the false negative rate is below 8%, and that MCC only needs to check 8.7% of the packets or 0.9% of the traffic. Therefore, this approach has great potential for accurately and quickly discovering new types of interactive application protocols.

关键词： traffic classification session network management correlation interactive

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Robust Frequency Estimation Under Additive Mixture Noise

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computers, Materials & Continua 2022年第7期72卷 1671-1684页

作者： Yuan Chen Yulu Tian Dingfan Zhang Longting Huang Jingxin Xu School of Computer and Communication Engineering University of Science&Technology BeijingBeijing100083China School of Automation Science and Electrical Engineering Beihang UniversityBeijing100191China School of Information Engineering Wuhan University of TechnologyWuhan430070China Department of Energy and Public Works Queensland4702Australia

In many applications such as multiuser radar communications and astrophysical imaging processing,the encountered noise is usually described by the finite sum ofα-stable(1≤α<2)*** this paper,a new parameter estimator is developed,in the presence of this new heavy-tailed *** the closed-formPDF of theα-stable variable does not exist exceptα=1 andα=2,we take the sum of the Cauchy(α=1)and Gaussian(α=2)noise as an example,namely,additive Cauchy-Gaussian(ACG)*** probability density function(PDF)of the mixed random variable,can be calculated by the convolution of the Cauchy’s PDF and Gaussian’s *** of the complicated integral in the PDF expression of the ACG noise,traditional estimators,e.g.,maximum likelihood,are analytically not *** obtain the optimal estimates,a new robust frequency estimator is devised by employing the Metropolis-Hastings(M-H)***,to guarantee the fast convergence of the M-H chain,a new proposal covariance criterion is also devised,where the batch of previous samples are utilized to iteratively update the proposal covariance in each sampling *** simulations are carried out to indicate the superiority of the developed scheme,when compared with several conventional estimators and the Cramér-Rao lower bound.

关键词： Frequency estimation additive cauchy-gaussian noise voigt profile metropolis-hastings algorithm cramér-rao lower bound

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A Dual-Chaining Watermark Scheme for Data Integrity Protection in Internet of Things

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computers, Materials & Continua 2019年第3期58卷 679-695页

作者： Baowei Wang Weiwen Kong Wei Li Neal NXiong Jiangsu Engineering Centre of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment TechnologySchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Engineering Research Center of Electronic Information and Control from Fujian Provincial Education Department Fuzhou350108China Department of Mathematics and Computer Science Northeastern State UniversityOklahomaUSA.

Chaining watermark is an effective way to verify the integrity of streaming data in wireless network environment,especially in resource-constrained sensor networks,such as the perception layer of Internet of Things ***,in all existing single chaining watermark schemes,how to ensure the synchronization between the data sender and the receiver is still an unsolved *** the synchronization points are attacked by the adversary,existing data integrity authentication schemes are difficult to work properly,and the false negative rate might be up to 50 *** the additional fixed group delimiters not only increase the data size,but are also easily detected by *** this paper,we propose an effective dual-chaining watermark scheme,called DCW,for data integrity protection in smart campus IoT *** proposed DCW scheme has the following three characteristics:(1)In order to authenticate the integrity of the data,fragile watermarks are generated and embedded into the data in a chaining way using dynamic grouping;(2)Instead of additional fixed group delimiters,chained watermark delimiters are proposed to synchronize the both transmission sides in case of the synchronization points are tampered;(3)To achieve lossless integrity authentication,a reversible watermarking technique is *** experimental results and security analysis can prove that the proposed DCW scheme is able to effectively authenticate the integrity of the data with free distortion at low cost in our smart meteorological Internet of Things system.

关键词： Dual-chaining reversible watermark integrity authentication Internet of things.

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