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12th IEEE International Conference on information and Communication Networks, ICICN 2024

作者： Tian, Haibo Ren, Shuangyin Chen, Chao School of Computer Science and Engineering Sun Yat-Sen University Guangdong Province Key Laboratory of Information Security Technology Guangzhou China

ISBN: (纸本)9798350355802

In multi-party machine learning scenarios involving sensitive data, safeguarding user and model privacy holds utmost importance. Current approaches often disclose model parameters to expedite training, but this poses significant privacy concerns. This paper introduces MOML (Matrix Outsourcing for multi-party Machine Learning), a framework for multi-party learning that relies on outsourced matrix multiplication. MOML harnesses the power of both TEE (Trusted execution environment) and GPU (Graphics Processing Unit), effectively offloading inefficient matrix operations from TEE to GPU, thereby enhancing training efficiency without compromising privacy. At the heart of MOML lies an enhanced matrix multiplication outsourcing algorithm, tailored for GPU computing and integrity checks. Rigorous tests conducted on the MNIST and CIFAR-10 datasets reveal remarkable performance improvements with MOML. © 2024 IEEE.

关键词： Adversarial machine learning

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Noise-Aware-Based Texture Descriptor, Evaluation Adjacent Distance Local Ternary Pattern EAdLTP for Image Classification 2nd

Noise-Aware-Based Texture Descriptor, Evaluation Adjacent Di...

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2nd International Conference on Big Data, IoT and Machine Learning, BIM 2023

作者： Misty, Most Marria Akter Abir, Md. Anwarul Islam Mondal, Sajal Islam, Md. Zahidul Islam, Md. Monirul Department of Computer Science and Engineering Green University of Bangladesh Dhaka Bangladesh Department of Computer Science and Engineering Sheikh Hasina University Netrokona Bangladesh Department of Information and Communication Technology Islamic University Kushtia Bangladesh

ISBN: (纸本)9789819989362

This study introduces a new local feature descriptor called evaluation window-based adjacent distance local ternary pattern EAdLTP for image classification. It is created by combining evaluation window EwLBP and adjacent distance local ternary pattern (AdLTP) to achieve robustness by encoding adjacent information. EwLBP produces an evaluation window to reduce noise in the neighbor’s values, and AdLTP captures the relationships between sequential neighbors. The adjacent sub-image window and the adjacent neighbor window are used to calculate the neighbors and extract the binary code that is modified to improve the information of the adjacent neighbors. The final EAdLTP pattern is divided into two parts (EAdLTPU and EAdLTPL), and the feature descriptor vector is obtained by concatenating their histograms. The proposed EAdLTP descriptor is tested on the KTH-TIPS and KTH-TIPS2b datasets and consistently outperforms other fundamental methods by being more robust against noise. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Image classification

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Steering Angle Prediction and Algorithm Performance Testing in Autonomous Driving Simulators 66

Steering Angle Prediction and Algorithm Performance Testing ...

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66th International Symposium ELMAR, ELMAR 2024

作者： Benja, Borna Mijic, David Vranjes, Mario Grbic, Ratko TTTech Auto Central and Eastern Europe Osijek Croatia Computer Science and Information Technology Osijek Faculty of Electrical Engineering Osijek Croatia

ISBN: (纸本)9798350375411

The majority of traffic accidents are caused by human error. To counteract that, Advanced Driver-Assistance Systems (ADAS) are being developed and installed in vehicles. One of those systems is the Lane Keeping Assist System (LKAS), which helps to keep the vehicle centered in the corresponding lane. The problem of calculating a steering angle that is to be applied to the steering wheel to keep the vehicle in the corresponding lane is called steering angle prediction (SAP). In this paper, a novel SAP neural network (NN) architecture is presented. It is based on Shifted Windows (Swin) Transformer architecture and uses an image from the vehicle's front-view camera to predict the steering angle. Two new datasets for the training and testing of the NN were created. The datasets consist of the vehicle's front-view camera images and the corresponding steering wheel angles from two different autonomous driving simulators, CARLA and MetaDrive. A variety of weather and road conditions are present in the datasets, including clear, rainy, and cloudy weather and two-, four-, and six-lane roads with various road markings (white and yellow, solid and dashed lines). The presented SAP solution has shown promising results on created test sets and in simulated test environments. © 2024 IEEE.

关键词： Advanced driver assistance systems

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A Novel Fuzzy Logic-based Method for Modeling and Recognizing Yoga Pose 9

A Novel Fuzzy Logic-based Method for Modeling and Recognizin...

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9th International Conference on Web Research, ICWR 2023

作者： Fard, Marjan Ghobadi Montazer, Gholam Ali Giveki, Davar Tarbiat Modares University Department of Information Technology Engineering Tehran Iran Malayer University Department of Computer Engineering Malayer Iran

ISBN: (纸本)9798350399691

The estimation of the human pose is an interesting computer vision problem. The principles of fuzzy logic can be used to distinguish the human poses due to the existing uncertainty. In this paper, we suggest fuzzy logic-based modeling for identifying human actions. Fuzzy membership functions that highlight the discriminative pose connected to each action are considered for feature extraction. Additionally, to identify human activity, a multilayer perceptron classifier is applied. For a more accurate classification of yoga poses, various methods of estimating poses and identifying key points were discussed in detail. Evaluations of the proposed method on the benchmark datasets indicate the performance of the proposed method. © 2023 IEEE.

关键词： Fuzzy logic

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ATmega2560 MCU Space Vector Modulation Implementation on Three-phase Inverter and Validation via Typhoon HIL 402 5

ATmega2560 MCU Space Vector Modulation Implementation on Thr...

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5th IEEE International Conference on Smart Systems and Technologies, SST 2022

作者： Brandis, Andrej Pelin, Denis Šimić, Zvonimir Vidošić, Ivan Department of Electromechanical Engineering Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia Department of Power Engineering Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (数字)9781665482158

ISBN: (纸本)9781665482158

In this paper, a space vector modulation implementation is done via ATmega2560 microcontroller with the Arduino development board. The control parameters are defined by the user in MATLAB software and sent to Arduino to start or stop the controller or to change the controller parameters. Space vector switching times for chosen parameters are calculated and given. The implemented algorithm is validated via Typhoon HIL 402 system on a three-phase inverter model for two different operation points. Voltage and current waveforms are obtained in Typhoon HIL. Line and phase voltage, as well as the phase current spectrum analysis is done via Typhoon HIL and processed in MATLAB for given system parameters. The measurement results validates the implemented space vector control algorithm. © 2022 IEEE.

关键词： Microcontrollers

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Overbooking-Enabled Task Scheduling and Resource Allocation in Mobile Edge Computing Environments

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Intelligent Automation & Soft Computing 2023年第7期37卷 1-16页

作者： Jixun Gao Bingyi Hu Jialei Liu Huaichen Wang Quanzhen Huang Yuanyuan Zhao School of Computer Henan University of EngineeringZhengzhou451191China School of Computer Science and Technology Henan Polytechnic UniversityJiaozuo454000China School of Computer Hubei University of Arts and ScienceXiangyang441053China School of Software Engineering Anyang Normal UniversityAnyang455000China School of Computer and Information Engineering Henan Normal UniversityXinxiang453003China The Publicity Department Zhengzhou University of TechnologyZhengzhou450044China

Mobile Edge Computing(MEC)is proposed to solve the needs of Inter-net of Things(IoT)users for high resource utilization,high reliability and low latency of service ***,the backup virtual machine is idle when its primary virtual machine is running normally,which will waste *** the backup virtual machine under the above circumstances can effectively improve resource ***,these virtual machines are deployed into slots randomly,and then some tasks with cooperative relationship are off-loaded to virtual machines for *** deployment locations have different resource utilization and average service response *** want toﬁnd a balanced solution that minimizes the average service response time of the IoT application while maximizing resource *** this paper,we propose a task scheduler and exploit a Task Deployment Algorithm(TDA)to obtain an optimal virtual machine deployment ***,the simulation results show that the TDA can signiﬁcantly increase the resource utilization of the system,while redu-cing the average service response time of the application by comparing TDA with the other two classical *** experimental results conﬁrm that the perfor-mance of TDA is better than that of other two methods.

关键词： Mobile edge computing overbooking resource utilization service response time task deployment algorithm

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Interference Suppression and Jitter Elimination Ability-Based Adaption Tracking Guidance for Robotic Fishes

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 126-137页

作者： Dongfang Li Jie Huang Rob Law Xin Xu Limin Zhu Edmond Q.Wu IEEE the School of Electrical Engineering and Automation Fuzhou University the Key Laboratory of System Control and Information Processing Ministry of Education the School of Electrical Engineering and Automation Fuzhou University 5G+Industrial Internet Institute Fuzhou University the University of Macau the College of Mechatronics and Automation National University of Defense Technology the School of Mechanical Engineering Shanghai Jiao Tong University the Department of Computer Science and Engineering Shanghai Jiao Tong University

This work presents an adaptive tracking guidance method for robotic fishes. The scheme enables robots to suppress external interference and eliminate motion jitter. An adaptive integral surge line-of-sight guidance rule is designed to eliminate dynamics interference and sideslip issues. Limited-time yaw and surge speed observers are reported to fit disturbance variables in the model. The approximation values can compensate for the system's control input and improve the robots' tracking ***, this work develops a terminal sliding mode controller and third-order differential processor to determine the rotational torque and reduce the robots' run jitter. Then, Lyapunov's theory proves the uniform ultimate boundedness of the proposed method. Simulation and physical experiments confirm that the technology improves the tracking error convergence speed and stability of robotic fishes.

关键词： Adaptive integral surge line-of-sight approximation robotic fish speed observer

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A Comprehensive Study of Rainfall Prediction in the Dominant Influence State of Rajasthan (India) Using an Ensemble Linear Regression Approach 1

A Comprehensive Study of Rainfall Prediction in the Dominant...

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1st International Conference on Cognitive, Green and Ubiquitous Computing, IC-CGU 2024

作者： Kumar, Ajay Singh, Jay Prakash Kumar, Vivek Ghosh, Debolina Patel, Ashok Kumar Manipal University Jaipur Department of Computer Science & Engineering Jaipur India Manipal University Jaipur Department of Information Technology Jaipur India VIT Bhopal University Department of Computer Science & Engineering Bhopal India

ISBN: (纸本)9798350361780

Accurate rainfall prediction is crucial for countries like India, with an economy heavily reliant on agriculture. Machine learning techniques, particularly regression models, offer a promising approach for precipitation prediction. The analysis reveals a substantial contrast in rainfall prediction efficacy between the East and West Rajasthan regions. Higher dominance in the East Rajasthan region, indicated by a significantly greater mean absolute difference, emphasizes increased variability and challenges to prediction accuracy. In contrast, the West Rajasthan region exhibits superior rainfall prediction efficacy, with a comparatively lower mean absolute difference. This highlights the critical importance of addressing regional variations in prediction accuracy. The study's insights guide the refinement of rainfall prediction models, particularly focusing on the East Rajasthan region. The successfully trained model, demonstrated by computed results for the entire rainfall dataset independently, showcases remarkable predictive accuracy. This underscores the model's effectiveness in minimizing discrepancies, paving the way for future advancements in refining regional rainfall prediction models. This will further contribute to the development of a robust model with the ability to achieve the lowest absolute error and sensitivity performance among similar models for rainfall prediction. © 2024 IEEE.

关键词： Linear regression

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Wild Gibbon Optimization Algorithm

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computers, Materials & Continua 2024年第7期80卷 1203-1233页

作者： Jia Guo JinWang Ke Yan Qiankun Zuo Ruiheng Li Zhou He Dong Wang Yuji Sato Hubei Key Laboratory of Digital Finance Innovation Hubei University of EconomicsWuhan430205China School of Information Engineering Hubei University of EconomicsWuhan430205China China Construction Third Engineering Bureau Installation Engineering Co. Ltd.Wuhan430074China Hubei Internet Finance Information Engineering Technology Research Center Hubei University of EconomicsWuhan430205China College of Informatics Huazhong Agricultural UniversityWuhan430070China Faculty of Computer and Information Sciences Hosei UniversityTokyo184-8584Japan

Complex optimization problems hold broad significance across numerous fields and ***,as the dimensionality of such problems increases,issues like the curse of dimensionality and local optima trapping also *** address these challenges,this paper proposes a novel Wild Gibbon Optimization Algorithm(WGOA)based on an analysis of wild gibbon population *** two strategies:community search and community *** community search strategy facilitates information exchange between two gibbon families,generating multiple candidate solutions to enhance algorithm ***,the community competition strategy reselects leaders for the population after each iteration,thus enhancing algorithm *** assess the algorithm’s performance,CEC2017 and CEC2022 are chosen as test *** the CEC2017 test suite,WGOA secures first place in 10 *** the CEC2022 benchmark functions,WGOA obtained the first rank in 5 *** ultimate experimental findings demonstrate that theWildGibbonOptimization Algorithm outperforms others in tested *** underscores the strong robustness and stability of the gibbonalgorithm in tackling complex single-objective optimization problems.

关键词： Complex optimization wild gibbon optimization algorithm community search community competition

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Image Compression Technique Using Contour Coding and Wavelet Transform in Digital Image Processing 3

Image Compression Technique Using Contour Coding and Wavelet...

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3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Naval, Preeti Raghavendra Prasad, H.D. Nishanthi, R. Dodia, Shubham J. Sharma, Sunil Dhingra, Lovish Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Civil Engineering Karnataka Ramnagar562112 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Information Technology Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Vivekananda Global University Department of Computer Science & Engineering Jaipur India Chitkara University Institute of Engineering and Technology Chitkara University Centre of Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350319125

Photo compression is a vital thing in virtual photograph processing. Contour coding and wavelet transforms are exceptional techniques that may be used for image compression. Contour coding is a space-filling curve technique that encodes the picture by tracing the contours of areas inside the photograph. It makes use of a smooth space-filling curve that visits areas in a more efficient way than raster scanning. The method takes into account the similarities between nearby pixels and reduces the file length with the aid of using predictive coding. Wavelet remodel is a mathematical tool that decomposes photos into unique frequency components. The wavelet rework is based on analyzing the variations between pixels by taking the differences in their spatial correlations. This technique is superb because it can represent a photograph using fewer coefficients than other compression techniques, resulting in smaller record sizes. Universally, these two photograph compression techniques are powerful for digital image processing. They could enable faster transmission of pix and decrease storage. © 2023 IEEE.

关键词： advantageous differences scanning techniques transmission

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