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检索条件"任意字段=International Conference on Signal Image Technology and Internet Based Systems"

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Triplets-based Steganographic Scheme to Improve the image Quality in Spatial Domain 3

Triplets-Based Steganographic Scheme to Improve the Image Qu...

引用

3rd IEEE international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Meftah Mafazy, Muhammad Terri Agustinus, Jeems Ikhwanul Haq, Thoha Jean De La Croix, Ntivuguruzwa Ahmad, Tohari Institut Teknologi Sepuluh Nopember Department of Informatics Surabaya Indonesia African Centre of Excellence in Internet of Things University of Rwanda Kigali Rwanda

ISBN: (纸本)9798350317022

Advances in information and communications technology have changed the way various sectors, from finance to the military, operate. However, this evolution has also increased cybersecurity threats, posing potential risks to user privacy and security. In response to these challenges, data masking methods have emerged as noteworthy solutions. These methods involve hiding information within other data, such as audio and video files, to add an extra layer of security. Retaining the quality of the stego image proves to be a primary challenge in steganography. In addressing the limitations of previous digital image steganography techniques, this research introduces a new algorithm centered on triplets. Our experiments using images from the SIPI dataset, our results showcase a notable improvement in performance, with signal-to-noise ratio (PSNR) results that vary from 43.080 dB to 65.564 dB. These experimental outcomes underscore a substantial enhancement compared to existing methods, affirming the efficacy of the proposed algorithm in bolstering cybersecurity defenses. © 2023 IEEE.

关键词： data hiding National Security network infrastructure spatial domain steganography

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Blind Spots of Objective Measures: Exploiting Imperceivable Errors for Immersive Tactile internet 13

Blind Spots of Objective Measures: Exploiting Imperceivable ...

引用

13th ACM/IEEE international conference on Cyber-Physical systems (ICCPS )

作者： Kroep, H. J. C. Gokhale, V Prasad, R. Venkatesha Delft Univ Technol Delft Netherlands

ISBN: (纸本)9781665409674

Tactile internet (TI) enables the transfer of human skills over the internet, enabling teleoperation with force feedback. Advancements are being made rapidly at several fronts to realize a functional TI soon. Generally, TI is expected to faithfully reproduce operator's actions at the other end, where a robotic arm emulates it while providing force feedback to the operator. Performance of TI is usually characterized using objective metrics such as network delay, packet losses, and RMSE. Pari passu, subjective evaluations are used as additional validation, and performance evaluation itself is not primarily based on user experience. Hence objective evaluation, which generally minimizes error (signal mismatch), is oblivious to subjective experience. In this paper, we argue that user-centric designs of TI solutions are necessary. We first consider a few common TI errors and examine their perceivability. The idea is to reduce the impact of perceivable errors and exploit the imperceivable errors to our advantage, while the objective metrics may indicate that the errors are high. To harness the imperceivable errors, we design Adaptive Offset Framework (AOF) to improve the TI signal reconstruction under realistic network settings. We use AOF to highlight the contradictory inferences drawn by objective and subjective evaluations while realizing that subjective evaluations are closer to ground truth. This strongly suggests the existence of `blind spots of objective measures'. Further, we show that AOF significantly improves the user grade, up to 3 points (on a scale of 10) compared to the standard reconstruction method.

关键词： Tactile internet user experience QoS teleoperation

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A Low-Complexity MMSE-HIC Scheme for NOMA-based LEO Satellite IoT systems 22

A Low-Complexity MMSE-HIC Scheme for NOMA-Based LEO Satellit...

引用

22nd IEEE international conference on Communication technology, ICCT 2022

作者： Sun, Weizong Yang, Dewei Kuang, Jingming Chen, Dong Long, Zheren School of Information and Electronics Beijing Institute of Technology Beijing China Institute of Telecommunication and Navigation Satellites China Academy of Space Technology Beijing China

ISBN: (纸本)9781665470674

A low-complexity minimum mean square error (MMSE) equalizer with hybrid interference cancellation (HIC) for non-orthogonal multiple access (NOMA) based Low Earth Orbit (LEO) satellite internet of Things (IoT) systems is presented in this paper. First, a HIC grouping strategy is proposed with the signal-to-interference-plus-noise ratio (SINR) threshold, which can effectively reduce the number of iteration and decoding times. Besides, a reduced-complexity MMSE equalizer based on the matrix expansion and Greville criterion is adopted to avoid the direct computation of matrix inversion. The results show that our proposed scheme can significantly reduce the overhead and processing delay while preserving a good performance. © 2022 IEEE.

关键词： internet of things

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PRNU-based source camera identification on smart video surveillance: a practical approach

PRNU-based source camera identification on smart video surve...

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international Workshop on Advanced Imaging technology (IWAIT)

作者： Law, Sai-Chung Law, Ngai-Fong Hong Kong Polytech Univ Dept Elect & Informat Engn Hong Kong Peoples R China

ISBN: (数字)9781510653320

ISBN: (纸本)9781510653320;9781510653313

Video surveillance is very common nowadays, with systems deployed in conventional networks, as well as in the cloud and IoT domains. While the internet-based video surveillance systems provide ease of operation, at the same time they are prone to cyber attacks. Therefore, video authentication cannot be guaranteed if someone hacks into the system and gets to the video source. In order to identify the video source, a source identification method employing the PRNU (Photo-Response Non-Uniformity) noise as the detecting signal has been devised. PRNU is a kind of sensor pattern noise, which can be found from every digital image captured by a digital camera. It has been proved to be useful in image and video camera source identification. However, the challenges of real-life applications have not been fully addressed, especially on the IoT-based video surveillance. In this paper, we present a practical approach of the PRNU-based source verification scheme incorporated into the smart video surveillance system with limited resources, such as low computation power at the edge of the networks. The performance of the proposed scheme is evaluated through simulation tests on different cameras taking video scenes at different periods in a day. It comes up with the results of an efficient and effective prototype for our method, which can be comparable to the state-ofthe-art techniques in related works.

关键词： source camera identification PRNU smart video surveillance IoT (internet of Things) security

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An investigation of malware and the systems used to detect and identify malware

An investigation of malware and the systems used to detect a...

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international conference on Advanced Technologies for signal and image Processing (ATSIP)

作者： Fahad Mira Department of Computer Science and Technology University of Bedfordshire UK

ISBN: (数字)9798350351484

ISBN: (纸本)9798350351491

Numerous malware has studied and fortifications throughout decades. New research shows that hazardous software is being created quickly. Frequent network and internet use spreads and improves this software. To enhance computer security, researchers and manufacturers are developing effective anti-malware programs. This article thoroughly discusses malware infestation and anti-malware software advances. Thus, it gives the current malware system developer detection reference.

关键词： image processing Malware internet Computer security

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Chest X-Ray image Classification for COVID-19 Detection Using Various Feature Extraction Techniques 3rd

Chest X-Ray Image Classification for COVID-19 Detection Usin...

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3rd international conference on Machine Learning, internet of Things and Big Data, ICMIB 2023

作者： Mohanty, Sareeta Senapati, Manas Ranjan Department of Information Technology VSSUT Odisha Burla India

ISBN: (纸本)9789819939312

Obtaining a chest x-ray image is one of the main clinical observations for screening novel coronavirus. Most patients with COVID-19 viral pneumonia have abnormalities on a chest x-ray, such as consolidation. Computer vision-based solutions are a viable option for improving COVID-19 detection accuracy. However, Other classification models are presently in use in the healthcare industry. One such model uses radiographs to identify pneumonia cases and has attained a high enough level of accuracy to be applied to actual patients. This research assesses the advantages of employing various feature extraction strategies in order to improve the classification performance of the COVID-19 detection. The objective is to create a COVID-19 classifier using several feature extraction techniques, such as Fractal Descriptor (FD), Histogram Oriented Gradient (HOG), and Local Binary Pattern (LBP), using the pneumonia dataset as a base. Combining these feature extraction methods, an accuracy of 95% was attained utilizing FD. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： COVID-19

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Applying image Processing technology to Estimate Vehicle Speed 17th

Applying Image Processing Technology to Estimate Vehicle Spe...

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17th international conference on Intelligent Information Hiding and Multimedia signal Processing (IIH-MSP) / 14th international conference on Frontiers of Information technology, Applications and Tools (FITAT)

作者： Chiu, Ming-Sung Liang, Tung-Ming Lo, Yung-Cheng Yeh, Ming-Tsung Hsu, Chao-Hsing Lin, Chien-Chih Chung, Yi-Nung Natl Changhua Univ Educ Dept Elect Engn Changhua Taiwan Chien Kuo Technol Univ Dept Informat & Network Commun Changhua Taiwan

ISBN: (纸本)9789811910579;9789811910562

An efficient algorithm for estimating the vehicle speed is presented in this study. The image processing technology is applied to estimate the vehicle speed in this algorithm. The major algorithm is to calculate the pixel number change rate of license plate area to estimate the vehicle speed. At first, the license plate area will be captured by using image processing technology. And then, the pixels of license plate can be obtained on real time. based on the pixel change rate, the vehicle speed can be estimated easily. The advantage of the proposed method is that because it is a simple algorithm, so the computation is very efficient. Moreover, this system can save the vehicle images simultaneously, which can be used in traffic surveillance systems.

关键词： image processing technology Pixel number change rate Vehicle speed estimation

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Research on Mass image Data Storage Method for Data Center 4th

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4th international conference on 3D Imaging Technologies- Multidimensional signal Processing and Deep Learning, 3D IT-MSP and DL 2022

作者： Pan, Sen Jiang, Jing Qiu, Hongbin Qiao, Junfeng Xu, Menghan State Grid Smart Grid Research Institute Co. Ltd. Nanjing Jiangsu210003 China State Grid Key Laboratory of Information and Network Security Nanjing210003 China State Grid Jiangsu Electric Power Co. Ltd. Information and Telecommunication Branch Nanjing China

ISBN: (纸本)9789819912292

With the advancement of technology and the development of the electric power business, power enterprises have generated a large amount of image data, which contains rich potential information, and it is urgent to store massive-scale image data for further mining and analysis. Starting from the storage requirements of power grid image data, this paper expounds on the drawbacks of direct storage of small files according to the characteristics of power grid image files. Then, the architecture design and function design of the grid image small file storage are carried out, and the function implementation is carried out. Finally, the grid image small file storage method based on the SequenceFile file format is briefly summarized. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Digital storage

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Acoustic signal Processing using Deep Learning for Intelligent Feed Monitoring of Dicentrarchus Labrax

Acoustic Signal Processing using Deep Learning for Intellige...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Laura Bies Shreyas Mysore Guruprasad Mrudula Ingale Dirk Werth August-Wilhelm Scheer Institute Saarbrücken Germany

Acoustic signal processing holds significant promise for real-time fish feeding intensity estimation in aquaculture. Unlike traditional methods reliant on visual cues or sensor data, acoustic analysis provides valuable insights into feeding behavior and demand. By capturing indicators such as water splashing, acoustic techniques can estimate the current feeding demand of fish. Acoustic techniques in aquaculture remain under explored, especially those delving into temporal information within acoustic spectrograms. This paper presents an intelligent monitoring approach using deep learning and acoustic signals. It investigates the perceptual domain of fish feeding acoustic spectrum recognition, extracting insights from Mel Spectrogram feature maps. Employing a supervised machine learning method with a multi-instance multi-label technique, the study classifies audio events during operational scenarios. Furthermore, the research assesses the effectiveness of the proposed neural network (NN) models for multi-label classification by comparing it with established NN architectures like AlexNet, ResNet18, and VGG11, showcasing its superior performance.

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A TDoA-based Single-LED VLP System Assisted by Circular Photodiodes Array Receiver 12

A TDoA-based Single-LED VLP System Assisted by Circular Phot...

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12th international conference on Intelligent Computing and Wireless Optical Communications (ICWOC)

作者： Lu, Bangyan Liang, Shangchuan Sun, Yimao Chen, Qing Yang, Yanbing Sichuan Univ Coll Comp Sci Chengdu Peoples R China Sichuan Univ Inst Ind Internet Res Chengdu Peoples R China Nucl Power Inst China Chengdu Peoples R China Xi An Jiao Tong Univ Xian Peoples R China

ISBN: (纸本)9798350374377

Visible Light Positioning (VLP) stands out as a promising indoor positioning technology with wide-ranging applications, such as indoor unmanned vehicles and personnel localization. However, common VLP systems typically rely on multiple LEDs as anchors, necessitating receivers to simultaneously acquire light information from at least three LED anchors. This limitation severely restricts the feasibility of VLP in scenarios where only a single LED is available. To this end, we propose a single-LED-based VLP system enabled by the circular photodiode (PD) array receiver. Benefiting from the dedicated circular photodiode (PD) array design, the receiver can figure out the phase shift information from the modulated light emitted by the anchor LED for signal Time Difference of Arrival (TDoA) estimation. Furthermore, we engineer a straightforward yet effective TDoA-based positioning algorithm to localize the receiver with a lightweight calibration scheme to mitigate the synchronization error among the PD elements on the receiver. Extensive simulations demonstrate the proposed system can achieve centimeter-level positioning accuracy, and offer 2 times accuracy improvement compared with the traditional 2-stage-weighted least square(WLS) positioning algorithms.

关键词： Single LED anchor positioning PD array phase difference indoor positioning Visible Light Positioning

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