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53rd IEEE International Symposium on Multiple-Valued Logic, ISMVL 2023

作者： Stanković, Radomir S. Stanković, Milena Moraga, Claudio Astola, Jaakko T. Mathematical Institute of Sasa Belgrade Serbia Faculty of Electronic Engineering Department of Computer Science Niš Serbia Technical University of Dortmund Faculty of Computer Science Dortmund Germany Tampere University of Technology Department of Signal Processing Tampere Finland

ISBN: (纸本)9781665464161

As in the binary case, ternary bent functions are a very small portion of the set of all ternary functions for a given number of variables. For example, for n = 2, there are 486 ternary bent functions out of 19683 ternary functions, which is 2, 47%, and this number reduces exponentially with the increase of n. However, finding, or alternatively, constructing them is a challenging task. A possible approach is based upon the manipulation of known ternary bent functions to construct other ternary bent functions. In this paper, we define Gibbs permutation matrices derived from the Gibbs derivative with respect to the Vilenkin-Chrestenson transform and propose their usage in constructing bent functions. The method can be extended to p-valued bent functions, where p is a prime larger than 3. © 2023 IEEE.

关键词： Matrix algebra

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Contrast enhancement of optical videoscope images

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Iran Journal of computer Science 2023年第3期6卷 261-275页

作者： Ammar, Reda Aboshosha, Sahar El-Hag, Noha A. Saifeldeen, Reda El-Shafai, Walid El-Banby, Ghada M. Ashiba, Huda I. Khalaf, Ashraf A. M. Elazm, Atef Abou El-Rabaie, El-Sayed M. Abd El-Samie, Fathi E. El-Safrawey, Amir Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf 32952 Egypt Department of Electronics and Electrical Comm. Faculty of Engineering Minia University Minya Egypt Department of Management of Information Systems Higher Institute of Commercial Science El-Mahala El-Kobra Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf 32952 Egypt Department of Electronics and Electrical Communications Engineering Bilbis Higher Institute of Engineering Sharqia Bilbis Egypt Security Engineering Laboratory Computer Science Department Prince Sultan University Riyadh 11586 Saudi Arabia Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia

The videoscope (VS) images have poor quality and low contrast. Hence, in this paper, three proposed frameworks to improve the quality of VS images are presented. The first framework depends on contrast-limited adaptive histogram equalization (CLAHE) with adaptive gamma correction. The second framework depends on homomorphic processing. The third framework is based on the homomorphic enhancement with histogram equalization. The first one is superior from the entropy perspective, while the third one is superior from the contrast perspective. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

关键词： Fuzzy enhancement Histogram equalization Homomorphic enhancement Spectral entropy

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Multi-dimensional Resource Allocation in HAP-assisted UAV Wireless Networks for IoRT Data Collection

Multi-dimensional Resource Allocation in HAP-assisted UAV Wi...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhao, Hui Zhang, Xinran Chen, Weilong Xu, Xiaobin Wang, Li Chang, Zheng University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu611731 China Beijing University of Posts and Telecommunications School of Computer Science Beijing China Beijing University of Technology Faculty of Information Technology Beijing100124 China

ISBN: (纸本)9798350351255

In this paper, we propose a multi-dimensional resource allocation scheme for Internet of Remote Things (IoRT) data collection in a high altitude platform (HAP)-assisted unmanned aerial vehicle (UAV) network. Considering the quality of service (QoS) requirements of delay-sensitive IoRT data, we propose a UAV-HAP double relay data transmission mode to reduce the transmission delay for delay-sensitive data. Since the resources of the UAV are limited, we jointly optimize communications, computing and storage resources to maximize the utility of the considered system. Due to the high dimensionality of the solution space, we design a Twin Delayed Deep Deterministic policy gradient-based multi-dimensional resource allocation (TD3-MDRA) algorithm to find the optimal resource allocation strategy. Extensive simulation results are presented to demonstrate the superior performance of TD3-MDRA for IoRT data collection with delay and resource constraints. © 2024 IEEE.

关键词： Deep reinforcement learning

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An efficient intrusion detection system for SDN using convolutional neural network 2

An efficient intrusion detection system for SDN using convol...

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2nd IEEE International Conference on electronic engineering, ICEEM 2021

作者： Hassan, Heba A. Hemdan, Ezz E. El-Shafai, Walid Shokair, Mona El-Samie, Fathi E. Abd Menoufia University Faculty of Electronic Engineering Department of Electronics and Communication Engineering Menoufia University Faculty of Electronic Engineering Department of Computer Science and Engineering

ISBN: (纸本)9781665418423

With the accelerated development of computer network utilization and the enormous growth of the number of applications running on top of networks, network security has become more significant. Intrusion Detection Systems (IDS) are considered as essential tools that can be utilized to protect computer networks and information systems. Software-Defined Network (SDN) architecture is used to provide network monitoring and observation of functions. Generally, an IDS is developed to observe the regular traffic to the SDN in order to maintain a high level of security. This paper introduces an efficient IDS using Convolutional Neural Network (CNN). This IDS is applied on a new attack-specific SDN dataset called InSDN. The proposed IDS is compared in performance with different machine-learning-based systems such as Decision Tree Classifier (CART), Logistic Regression (LR), Support Vector Machine (SVM), Naïve Bayes (NB), Random Forest (RF) classifier, and AdaBoost (AB) classifier. © 2021 IEEE.

关键词： Convolutional neural networks

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Quantum-Coherent X-rays from Crystals

Quantum-Coherent X-rays from Crystals

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Shi, Xihang Wong, Lee Wei Wesley Wong, Liang Jie Kaminer, Ido Solid State Institute Faculty of Electrical and Computer Engineering Technion - Israel Institute of Technology Haifa32000 Israel School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore

We present a quantum analysis of X-ray radiation generated from free electrons interacting with crystalline materials, revealing the role of the electron's quantum-wave nature and of the radiation's quantum-pa... 详细信息

ISBN: (纸本)9781957171258

关键词： Crystals

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Achievable Region of the K-User MAC Wiretap Channel Under Strong Secrecy

Achievable Region of the K-User MAC Wiretap Channel Under St...

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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： Xu, Hao Wong, Kai-Kit Caire, Giuseppe University College London Department of Electronic and Electrical Engineering LondonWC1E7JE United Kingdom Technical University of Berlin Faculty of Electrical Engineering and Computer Science Berlin10587 Germany

ISBN: (纸本)9781665475549

This paper investigates the information-theoretic secrecy problem for a K-user discrete memoryless (DM) multiple-access wiretap (MAC-WT) channel. Instead of using the weak secrecy criterion characterized by information leakage rate, we adopt the strong secrecy metric defined by information leakage to better protect the confidential information. We provide an achievable rate region and prove its achievability by providing a coding scheme and analyzing the output statistics in terms of (average) variational distance. We show that the rate region obtained in previous works on the subject is a special case of ours. We also show that the achievability proof in such works is incomplete, because it is assumed that certain inequalities hold while they may not in some cases. We solve this problem by constructing an inequality structure for the rates of all users' secret and redundant messages, and analyzing the conditions required to maintain this structure. © 2023 IEEE.

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All-fiber Orbital-Angular-Momentum Beams-Based Interferometer Using Helical Long-Period Fiber Gratings

All-fiber Orbital-Angular-Momentum Beams-Based Interferomete...

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2023 Optical Fabrication and Testing, OFT 2023 in Optica Design and Fabrication Congress - Part of Optica Design and Fabrication Congress

作者： Zhao, Hua Guo, Chenji Xu, Jiayang Xu, Jiannan Lu, Huali Hao, Hui Wang, Peng Li, Hongpu School of the Computer and Electronic Information Nanjing Normal University Nanjing210023 China College of Electronic Engineering Nanjing Xiaozhuang University Nanjing211171 China Faculty of the Engineering Shizuoka University 3-5-1 Johoku Naka-Ku Hamamatsu432-8561 Japan

We proposed and experimentally demonstrated an all-fiber OAM beams-based interferometer, where the two conjugated OAM beams generated by helical long-period fiber gratings but with opposite helicities, were particular... 详细信息

关键词： Interferometers

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Cross-view Contrastive Unification Guides Generative Pretraining for Molecular Property Prediction 24

Cross-view Contrastive Unification Guides Generative Pretrai...

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32nd ACM International Conference on Multimedia, MM 2024

作者： Lin, Junyu Zheng, Yan Chen, Xinyue Ren, Yazhou Pu, Xiaorong He, Jing Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Faculty of Medicine Biomedical Sciences The University of Queensland BrisbaneQLD Australia

ISBN: (纸本)9798400706868

Multi-view based molecular properties prediction learning has received widely attention in recent years in terms of its potential for the downstream tasks in the field of drug discovery. However, the consistency of different molecular view representations and the full utilization of complementary information among them in existing multi-view molecular property prediction methods remain to be further explored. Furthermore, most current methods focus on generating global level representations at the graph level with information from different molecular views (e.g., 2D and 3D views) assuming that the information can be corresponded to each other. In fact it is not unusual that for example the conformation change or computational errors may lead to discrepancies between views. To addressing these issues, we propose a new Cross-View contrastive unification guides Generative Molcular pre-trained model, call MolCVG. We first focus on common and private information extraction from 2D graph views and 3D geometric views of molecules, Minimizing the impact of noise in private information on subsequent strategies. To exploit both types of information in a more refined way, we propose a cross-view contrastive unification strategy to learn cross-view global information and guide the reconstruction of masked nodes, thus effectively optimizing global features and local descriptions. Extensive experiments on real-world molecular data sets demonstrate the effectiveness of our approach for molecular property prediction task. © 2024 ACM.

关键词： Contrastive Learning

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Spiral Fractal Compression in Transform Domains for Underwater Communication

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Annals of Data Science 2024年第3期11卷 1003-1030页

作者： Selim, A. Taha, Taha E. El-Fishawy, Adel S. Zahran, O. Hadhoud, M.M. Dessouky, M.I. El-Samie, Fathi E. Abd El-Hag, Noha ERTU Cairo Egypt Department of Information Technology Faculty of Computers and Information Menoufia University Shebeen El-Kom32511 Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt The Higher Institute of Commercial Sciences Al mahalla Al kubra Algarbia31951 Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh11671 Saudi Arabia

This paper presents a simplified fractal image compression algorithm, which is implemented on a block-by-block basis. This algorithm achieves a Compression Ratio (CR) of up to 10 with a Peak Signal-to-Noise Ratio (PSNR) as high as 35 dB. Hence, it is very appropriate for the new applications of underwater communication. The idea of the proposed algorithm is based on the segmentation of the image, first, into blocks to setup reference blocks. The image is then decomposed again into block ranges, and a search process is carried out to find the reference blocks with the best match. The transmitted or stored values, after compression, are the reference block values and the indices of the reference block that achieves the best match. If there is no match, the average value of the block range is transmitted or stored instead. The effect of the spiral architecture instead of square block decomposition is studied. A comparison between different algorithms, including the conventional square search, the proposed simplified fractal compression algorithm and the standard JPEG compression algorithm, is introduced. We applied the types of fractal compression on a video sequence. In addition, the effect of using the fractal image compression algorithms in transform domain is investigated. The image is transferred firstly to a transform domain. The Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are used. After transformation takes place, the fractal algorithm is applied. A comparison between three fractal algorithms, namely conventional square, spiral, and simplified fractal compression, is presented. The comparison is repeated in the two cases of transformation. The DWT is used also in this paper to increase the CR of the block domain pool. We decompose the block domain by wavelet decomposition to two levels. This process gives a CR for block domain transmission as high as 16. The advantage of the proposed implementation is the simplicity of computation. We f

关键词： Discrete wavelet transforms

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Performance Evaluation of Fully Generalized Spatial Modulation with Hybrid Beamforming in Vehicular Networks: MmWave vs. IEEE 802.11ad 7

Performance Evaluation of Fully Generalized Spatial Modulati...

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7th IEEE International Symposium on Telecommunication Technologies, ISTT 2024

作者： Mohamed Hashim, Sheemaa Ali Dziyauddin, Rudzidatul Akmam Bin Mohd Izhar, Mohd Azri Seman, Norhudah Rahim, Sharul Kamal Abd. Chatzimisios, Periklis Universiti Teknologi Malaysia Faculty of Artificial Intelligence Kuala Lumpur Malaysia King Khalid University Applied College in Khamis Mushait Computer Science Department Abha Saudi Arabia Universiti Teknologi Malaysia Faculty of Electrical Engineering Johor Malaysia International Hellenic University Department of Information and Electronic Engineering Thermi Greece

ISBN: (纸本)9798350392074

The increasing need for high data rates in vehicular networks necessitates the development of innovative technologies to improve spectral efficiency (SE) and guarantee the reliability of cellular connections. An innovative approach that uses an integration of Fully Generalized Spatial Modulation (FGSM) with hybrid beamforming (H-FGSM) to improve vehicular communication, exhibiting notable enhancements in SE. This paper explores the utilization of FGSM in conjunction with hybrid beamforming within vehicular communication systems, specifically emphasizing two predominant frameworks: millimeter-wave (mmWave) and IEEE 802.11ad. It employs a complete performance analysis to investigate the effects of H-FGSM on the aforementioned communication frameworks. It is worth mentioning that the mmWave framework has a superior SE of 7bps/Hz in comparison to IEEE 802.11ad, in addition to extended coherence time by 3 times and decreased frequency of adjustments to channel state information (CSI). These characteristics render mmWave very suitable for dynamic vehicular environments that require reliable communication routes. Consequently, the integration of FGSM with hybrid beamforming presents a potentially viable approach for addressing the requirements of advanced intelligent transportation systems in future vehicle networks, which leads to the foundation for future investigations aim at enhancing the efficiency of mmWave communication systems in dynamic vehicular situations. © 2024 IEEE.

关键词： Vehicular ad hoc networks

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