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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VII"

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An Effective image Encryption Algorithm Based on a Novel Chaotic Map 13

An Effective Image Encryption Algorithm Based on a Novel Cha...

引用

13th International conference on Graphics and image processing (ICGIP)

作者： Ding, Weikang Yang, Qinglian Zhao, Dongdong Yan, Shi Lanzhou Univ Sch Informat Sci & Engn Lanzhou 730000 Peoples R China

ISBN: (数字)9781510650435

ISBN: (纸本)9781510650435;9781510650428

Cryptography based on the properties such as unpredictability and initial state sensitivity of chaotic systems is a strategy to improve the security of image encryption algorithms. In this paper, a Logistic Coupled with Sine (LCS) chaotic map is proposed, and it turns out that the proposed map has more complex behaviors than existing chaotic maps in terms of performance analyses. Furthermore, as a potential application, an efficient and effective image encryption algorithm is proposed based on the keystreams generated by this LCS map. In the encryption algorithm, for a given plain image, it is split by the parity of indices of image rows first, and then a new confusion-diffusion strategy is proposed to scramble and diffuse thoroughly the elements of these two divided parts of the image. The security analyses indicate that the proposed encryption algorithm has excellent statistical properties, high security and efficiency for image encryption.

关键词： Information security image cryptography chaotic map security analyses

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Unrolling Alternating Direction Method of Multipliers for Visible and Infrared image Fusion 5

Unrolling Alternating Direction Method of Multipliers for Vi...

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5th IEEE International conference on image processing Applications and systems (IPAS)

作者： Bakan, Altug Erer, Isin Istanbul Tech Univ Dept Elect & Commun Engn Istanbul Turkey ASELSAN Microelect Guidance & Electroopt Business Sect Ankara Turkey

ISBN: (纸本)9781665462198

In this paper a new infrared and visible image fusion (IVIF) method which combines the advantages of optimization and deep learning based methods is proposed. This model takes the iterative solution used by the alternating direction method of the multiplier (ADMM) optimization method, and uses algorithm unrolling to obtain a high performance and efficient algorithm. Compared with traditional optimization methods, this model generates fusion with 99.6% improvement in terms of image fusion time, and compared with deep learning based algorithms, this model generates detailed fusion images with 99.1% improvement in terms of training time. Compared with the other state-of-the-art unrolling based methods, this model performs 26.7% better on average in terms of Average Gradient (AG), Cross Entropy (CE), Mutual Information (MI), Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity Loss (SSIM) metrics with a minimal testing time cost.

关键词： visible and infrared image fusion algorithm unrolling model based deep network ADMM

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3rd International conference on Innovation in Engineering, ICIE 2024

3rd International Conference on Innovation in Engineering, I...

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3rd International conference on Innovation in Engineering, ICIE 2024

ISBN: (纸本)9783031615818

The proceedings contain 108 papers. The special focus in this conference is on Innovation in Engineering. The topics include: Transmission Power Based Congestion Control Using Q-Learning Algorithm in Vehicular Ad Hoc Networks (VANET);collaborative Robot Laboratory Setup for Repeatable Force and Speed Experiments;towards Global Sustainability: Exploratory Analysis Through Unsupervised Machine Learning Techniques;structural Kinematic Analysis of a Wheelchair Mechanism Designed for Disabled Persons;application of Graph Theory in Designing the Communication System of a Robotic Production Cell;machine Learning algorithms in Scheduling Problems: An Overview and Future Paths;on the Relation Between the Smith Predictor and Algebraic Control Approach for Time Delay systems: A Case Study;image as a Way of processing Multidimensional Production Data for Product Quality Prediction Using Deep Learning;OPC-UA in Digital Twins—A Performance Comparative Analysis;design Improvements for an Inspection Rover;decoding the Effect of Descriptive Statistics on Informed Decision-Making;Simulation Control of Three-Tank-System Using 2DOF Controller;development of a Serious Game to Support Alzheimer’s Patients: First Insights;e-voting Platform Based on Blockchain;the Transformation of Maintenance with the Arise of Industry 4.0;real-World Comparison of Predictive Controllers Based on Internal and External Description of the Controlled System;the Use of Virtual Reality in Lower-Limb Robotic Rehabilitation;the Contribution of Photovoltaic systems to Sustainable Agriculture—An Analysis of Agrivoltaic systems;integration of Augmented Reality and IoT Elements in the Maintenance 4.0;A Fuzzy Logic-Based Risk Assessment Tool for IT Startups;wireless Localization System Applied to a Kitting Pick-to-light System;Posture Correction Device Based on IMU Sensors and CNN.

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3rd International conference on Innovation in Engineering, ICIE 2024

3rd International Conference on Innovation in Engineering, I...

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3rd International conference on Innovation in Engineering, ICIE 2024

ISBN: (纸本)9783031615740

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3rd International conference on Innovation in Engineering, ICIE 2024

3rd International Conference on Innovation in Engineering, I...

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3rd International conference on Innovation in Engineering, ICIE 2024

ISBN: (纸本)9783031626838

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International Scientific and Technical conference on Integrated Computer Technologies in Mechanical Engineering, ICTM 2023

International Scientific and Technical Conference on Integra...

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International Scientific and Technical conference on Integrated Computer Technologies in Mechanical Engineering, ICTM 2023

ISBN: (纸本)9783031614149

The proceedings contain 95 papers. The special focus in this conference is on Integrated Computer Technologies in Mechanical Engineering. The topics include: Complexity Reduction in DAT-Based image processing;current Trends in Bulk Solids Quantity Monitoring Inside the Large Capacity Industrial Tanks and Reservoirs;simulation of Onboard Helicopter Radar Signals for Surface Elevation Measurements;two Factor Dispersion Analysis of the Capacitive Grain Moisture Meters’ Transfer Function;methods for Time Series Analysis Using Segmented Regression with Heteroskedasticity;methodology of Detection and Recognition of Faults in the Unit Components;analyzing Exergy Losses When Utilizing the Heat of Exhaust Gases in Boiler;adaptation of the Rotor Design of Expander-Compressor Unit for the Installation of Magnetic Bearings Based on Dynamic Analysis Using Integrated Computer systems;methods of Parametric Modeling and Simulation Numerical Analysis of Rotor Dynamics in Active Magnetic Bearings on Example of the Turbocompressor;analyzing Thermophysical Phenomena in a Thermopressor for Air Intercooling systems;development and Implementation of Energy-Saving Control algorithms for Pumping Units of Power Plants to Increase Their Operational Quality;Utilizing CFD Technology in the Design of the Combustion Chamber for the Hydrogen-Powered Hybrid Energy System;a Research on the Influence of Anisotropic Characteristics of Single-Crystal Gas Turbine Blades on Their Durability;numerical Analysis of the Modern Marine Gas Turbine Rotor Stress-Strain State;numerical and Experimental Investigation of the Rotor Blade Joint;transient Motions of Solid Propellant Motor Casing at Launch Vehicle Liftoff;improving the Method of Quality Control of the Fuel Element Shell in Order to Improve the Safety of a Nuclear Reactor;preface.

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Deep Learning Techniques for image Recognition in IoT-Enabled Surveillance systems

Deep Learning Techniques for Image Recognition in IoT-Enable...

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2024 Asian conference on Intelligent Technologies, ACOIT 2024

作者： Dankan Gowda, V. Vishnu Tej, Y. Potharaju, Vidya Sagar Jakkidi, Premkumar Reddy Sharma, Aanchal Sudhakar Reddy, N. Department of Electronics and Communication Engineering BMS Institute of Technology and Management Karnataka Bangalore India Department of Computer Science and Systems Engineering Andhra University Visakhapatnam India Department of ECE Vignana Bharati Institute of Technology Ghatkesar Hyderabad India 15950 paramount way FriscoTX75189 United States DCSA Panjab University Chandigarh India Department of ECE School of Engineering Mohan Babu University Tirupati India

ISBN: (纸本)9798350374933

This paper proposed an improved method that can be used in the identification of images within IoT based surveillance systems through the use of deep learning techniques especially the CNNs. The growth of concern and complexity therefore entails massive feeding from bursts of data from surveillance cameras, hence the need for reliable algorithms for processing the data in real-time with reasonable accuracy. The described system can be described as inclusive of IoT devices communicating with edge computing and cloud services for the purpose of scalability and performance enhancement. In this study, a very sophisticated experimental setup was employed;the authors used a number of datasets for surveillance purposes to evaluate the model. The results revealed that the segments of the method achieve a high accuracy and are continuously running through data in diverse surveillance scenarios while also being scalable. In the results section, we realized that CNN model was able to handle various environmental conditions such as;extreme lightening and occlusion. On the basis of the above mentioned data, it will be possible to suggest that this approach is rather superior compared to the other conventional approaches and therefore can be suggested as the possible solution of the modern conditions of surveillance. It thus provides platform for the advancement of intelligent surveillance system for use in smart city, security and safety application. © 2024 IEEE.

关键词： Convolutional neural networks

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Application of Intelligent Schedule Management in Volunteer Service System 1

Application of Intelligent Schedule Management in Volunteer ...

引用

1st IEEE International conference on Data Intelligence and Innovative Application, DIIA 2024

作者： Li, Yongxin Luo, Xiaonan Guilin University of Electronic Technology Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin China

ISBN: (纸本)9798331504434

As the demand for volunteer services grows, enhancing the efficiency and management of these services has become a key issue. This paper explores methods of integrating intelligent scheduling management functions with volunteer service systems to optimize volunteer time management and task allocation. By analyzing existing volunteer service systems, we propose a novel system framework that integrates intelligent scheduling management. This framework updates volunteer schedules in real- time, automatically matches tasks with volunteers' time windows, and optimizes task distribution using smart algorithms. Experimental results show that volunteer service systems with integrated intelligent scheduling management significantly improve task allocation accuracy and volunteer satisfaction. This research provides new ideas and practical basis for the intelligent development of volunteer services. © 2024 IEEE.

关键词： Digital family digital platform volunteer service

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An Improved Low-Light image Enhancement Algorithm Based on Deep Learning 2nd

An Improved Low-Light Image Enhancement Algorithm Based on D...

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2nd International conference on Advanced Intelligent Technologies (ICAIT)

作者： Chen, Wen Hu, Chao Jiangxi Univ Sci & Technol Ganzhou 341099 Jiangxi Peoples R China NingboTech Univ Ningbo Zhejiang Peoples R China

ISBN: (纸本)9789811697357;9789811697340

At present, most low-light image enhancement algorithms rely on artificial design with a priori information and constraints, but it cannot accurately capture deep structural features of the images. In this paper, we propose an improved algorithm with EnlightenGAN as the base framework and consider the phenomenon that the distance reflected by Mean Square Error (MSE) is quite different from human intuition. By introducing Structural Similarity (SSIM) in the loss function, we try to improve the structural similarity of the enhanced images to make them more consistent with natural and human intuition. For the instability problem during Generative Adversarial Networks (GAN) training, the relatively loose and easy-to-compute Energy-Based GAN (EBGAN) is used instead of Wasserstein GAN (WGAN). The improved algorithm is finally tested by using Low-light image Enhancement (LIME) dataset as well as the test dataset of EnlightenGAN. The Peak Signal to Noise Ratio (PSNR) and SSIM values of the images processed by using the modified algorithm are calculated and compared with other algorithms, and the results show the proposed method is effective.

关键词： Deep learning Generating adversarial networks image enhancement image processing

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Design of English Teaching Quality Evaluation System Based on Deep Learning and Data Mining

Design of English Teaching Quality Evaluation System Based o...

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image processing and Computer Applications (ICIPCA), IEEE International conference on

作者： Yang Chen Guangzhou Huashang Vocational College Guangzhou China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

This research delves into the prospects of using deep learning and data mining to design an English teaching and quality system model. The paper first conducts a research and analysis on the relevant literature that examine the evaluation systems designed through data mining and deep learning algorithms. As presented in the findings, deep learning and data mining technologies that include the use of neural networks play a critical role in the development of English language assessment and evaluation systems. The findings equally establish that data mining algorithms and techniques significantly decrease the delay times caused in the traditional English teaching and evaluation system designed through the use of deep learning and data mining techniques.

关键词： Deep learning Training Volume measurement image processing Education Neural networks Time measurement Quality assessment Data mining Time factors

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