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2nd IEEE International Conference on electronic engineering, ICEEM 2021

作者： El-Fiky, Azza Shouman, Marwa Ahmed Hamada, Salwa El-Sayed, Ayman Karar, Mohamed Esmail Electronics Research Institute Department of Informatics Cairo Egypt Menoufia University Faculty of Electronic Engineering Department of Computer Science and Engineering Minuf Egypt Menoufia University Faculty of Electronic Engineering Dept. Industrial Electronics and Control Engineering Minuf Egypt

ISBN: (纸本)9781665418423

Chest radiography presents one of the main medical imaging modalities for diagnosing lung diseases. To assist radiologists during interventional procedures, this paper aims at proposing a transfer learning-based classifier to automatically identify 14 different thoracic diseases in Chest X-ray (CXR) images. The proposed method is relied on deep residual neural networks with 50 layers (ResNet-50) to accomplish the diagnostic task of many chest diseases. In this study, a public dataset of 112, 120 frontal radiograph images for Chest X-ray has been used for validating the proposed deep learning classifier. It achieved the best performance of multi-label classification of normal and 14 different lung diseases with an average area under curve (AUC) of 0.911 and F1-score of 0.66. This study demonstrated that the proposed ResNet-50 classifier as a transfer learning model outperforms other relevant methods in the previous studies for automatic multi-label classification of chest X-rays. © 2021 IEEE.

关键词： computer aided diagnosis

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Lithium Niobate Photonic Topological Insulator-based Multi-Wavelength Optical Demultiplexer with Piezoelectric Switch-Off

arXiv

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arXiv 2024年

作者： Mahmud, Prithu Supti, Kaniz Fatema Choudhury, Sajid Muhaimin Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka1205 Bangladesh Department of Computer Science and Engineering BRAC University Dhaka1212 Bangladesh

Photonic topological insulators provide unidirectional, robust, wavelength-selective transport of light at an interface while keeping it insulated at the bulk of the material. The non-trivial topology results in an immunity to backscattering, sharp turns, and fabrication defects. This work leverages these unique properties to design a 2-channel optical demultiplexer based on a lithium niobate photonic topological insulator with piezoelectric switch-off capabilities. A photonic topological insulator design for the demultiplexer allows for good wavelength selectivity, crosstalk as low as −54 dB, and better isolation between output channels. The primary operating wavelengths presented are the telecommunication wavelengths of 1310 nm and 1550 nm, but the use of the lithium niobate material allows operation at multiple operating wavelengths. Furthermore, we propose a post-fabrication method to switch off the topological protection and, thus, optical transmittance via an applied voltage utilizing the inverse piezoelectric effect of lithium niobate. This work will contribute to advancing lithium niobate integrated photonics and developing efficient, multi-wavelength, electrically controlled optical communication systems and integrated photonic circuits. © 2024, CC BY-NC-ND.

关键词： Topological insulators

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A Low Complexity ML-Assisted Multi-knapsack-based Approach for User Association and Resource Allocation in 5G HetNets

A Low Complexity ML-Assisted Multi-knapsack-based Approach f...

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2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2023

作者： Agarwal, Bharat Togou, Mohammed Amine Ruffini, Marco Muntean, Gabriel-Miro Dublin City University School of Electronic Engineering Ireland Dublin City University School of Computing Ireland Trinity College Dublin Computer Science and Statistic Department Ireland

ISBN: (纸本)9798350321524

Small cells are being deployed in the most recent Heterogeneous Network (HetNet) environments, which are supported by 5th-generation (5G) network solutions. They improve the performance of conventional macro-cell networks. Before data transmission in HetNets begins, a process of user association (UA) with a particular base station (BS) is triggered. Diverse resource allocation (RA) algorithms are also used during data transmission. Enhancing network load balancing, spectrum performance, and energy efficiency are all important goals that UA-RA solutions help to achieve. The authors of this paper previously presented a meta-heuristics algorithm for solving UA-RA problems in HetNets known as Performance-Improved Reduced Search Space Simulated Annealing (PIRS3A). Still, PIRS3A is only suitable for scenarios with low number of users as its complexity increases with the increase in the number of users. In this paper, we enhance the PIRS3A to support a large number of users by using Machine Learning (ML). We propose the Enhanced PIRS3A (EPIRS3A) which uses supervised ML techniques to classify users into two separate classes, i.e., users who need offloading and users who do not. PIRS3A will be used to solve the UA-RA problem for those users who need offloading in order to improve the quality of their services. © 2023 IEEE.

关键词： Machine learning

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Descriptive Exam Evaluation through Semantic Mining and Analysis

Descriptive Exam Evaluation through Semantic Mining and Anal...

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2023 Human-Centered Cognitive Systems, HCCS 2023

作者： Akhtar, Raybal Safyan, Muhammad Iqbal, Muddesar Sarwar, Sohail University of Management and Technology Department of Informatics and Systems Lahore Pakistan Government College University Lahore Department of Computer Science Lahore Pakistan Prince Sultan University Department of Communication & Network Engineering Riyadh Saudi Arabia Bahria University Islamabad Department of Computer Science Islamabad Pakistan

ISBN: (纸本)9798350359183

Online examination evaluation methods are used as an alternative to the traditional examination's way of evaluation methods. They offer a number of advantages while addressing issues associated with outdated conventional approaches. Online evaluation methods are mainly used for objective and short answers based exams but may not suitable for assessing the depth knowledge in candidates. So, candidate's descriptive examinations are conducted to assess their depth of knowledge. Descriptive evaluation methods have been put into practice for quite some time but they greatly rely on keyword-matching techniques between the questions and answers. Due to this limitation, the semantic meanings of these answers are ignored. In current research, the deficiencies in prevalent systems have been addressed by calculating the semantic and syntactic similarity between answers. Moreover, the repetitive words and similarity between counteractive answers has also been considered. We have used SQuAD1 dataset in current research. Our model has achieved a value of 0.88 in terms of accuracy for while computing similarity among listed items. © 2023 IEEE.

关键词： Semantics

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Design of Secure Multi-User Coded-SSK with Index Selecting Capability

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IEEE Transactions on Communications 2025年

作者： Hassan, Sumeyra Panayirci, Erdal Helleseth, Tor Vincent Poor, H. Kadir Has University Department of Electrical and Electronics Engineering Istanbul34083 Turkey University of Bergen Department of Informatics Bergen Norway Princeton University Department of Electrical and Computer Engineering PrincetonNJ08544 United States

We propose a new coded space shift keying (CSSK) signaling technique for multi-user (MU), multiple-input multiple-output (MIMO) communication systems incorporating physical layer security (PLS). Besides its error correction ability, the designed linear code is capable of choosing transmit antenna indices automatically and selecting the best set of antenna combinations that minimizes the bit error rate (BER). Results obtained for the single-user (SU) schemes are then extended to a general single-cell downlink MU CSSK setting. A precoder design is proposed with a maximum ratio combining (MRC) technique to eliminate the multi-user interference (MUI) entirely by taking advantage of channel state information (CSI) at the transmitter. It is shown that the same precoding provides a very effective jamming signal for the PLS against passive eavesdroppers, degrading their signal-to-interference-plus-noise ratio (SINR) severely. A closed-form expression for the achievable secrecy rates is derived and it is maximized by the proposed power allocation algorithm. Finally, it is shown analytically and by computer simulations that substantially better BER performance is achieved by each user over interference-free transmission compared to an SU transmission with a maximum likelihood (ML) detector. © 1972-2012 IEEE.

关键词： Signal to noise ratio

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Maximum Distance Separable (MDS) Code Aided MIMO for Future Wireless Communication 8

Maximum Distance Separable (MDS) Code Aided MIMO for Future ...

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8th International Conference on Communication, Image and Signal Processing, CCISP 2023

作者： Yang, Ning Yang, Ping Huang, Yiqian Wu, Gang Zammit, Saviour University of Electronic Science and Technology of China National Key Laboratory of Science and Technology on Communications Sichuan China University of Malta Department of Communications and Computer Engineering Msida Malta

ISBN: (纸本)9798350305838

This paper proposes maximum distance separable (MDS) code aided multiple-input multiple-output (MIMO) framework, generally. The simulation results show that the schemes we propose can achieve better performance than quadrature amplitude modulation (QAM) and spatial modulation (SM). There are two ways to generate MIMO framework based on MDS code: one is to combine MIMO with MDS code constructed by using amplitude and phase levels, called MIMO-MDS-APM framework;the other is to combine MIMO with MDS code, constructed by using in-phase and quadrature components of codewords, called MIMO-MDS-IQM framework. The proposed schemes are compared with QAM and SM schemes in terms of minimum Euclidean distance (MED). The results indicate that the MIMO framework based on MDS code can achieve better bit error rate (BER) performance under different detections, which can be seen as promising future wireless communication technology. © 2023 IEEE.

关键词： Quadrature amplitude modulation

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Blockchain Oriented Software engineering for Dapp Smart Contracts in Smart Energy Markets

Blockchain Oriented Software Engineering for Dapp Smart Cont...

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CIRED 2022 Shanghai Workshop

作者： Tonelli, Roberto Marchesi, Michele Pinna, Andrea Mureddu, Mario Ghiani, Emilio Pilo, Fabrizio Galici, Marco Department of Mathematics and Computer Science University of Cagliari Cagliari Italy Department of Electric and Electronic Engineering University of Cagliari Cagliari Italy

ISBN: (纸本)9781839538391

Transmission and Distribution Systems Operators are facing the need for new market tools able to evaluate the potential of flexibility contracting, with smart and decentralized energy production, consumption, and exchange. The blockchain technology, has been proposed in platforms and projects for energy trading, given that BC platforms natively support not only decentralization but also transparency, privacy, smart grid management, token trading, pseudo-anonymity, and other desirable features of a smart and decentralized market. However, BC software projects are complex, may be large, and often exposed to critical failures. To reduce the chance of such failures and to improve the quality of the software development process, this paper introduces software development methodologies for blockchain applications specific to the decentralized energy market. By using Blockchain Oriented Software engineering (BOSE) and Agile Block-Chain Dapp engineering (ABCDE), a novel decentralized application based on an energy token is proposed, defined by a smart contract on the ERC721 standard, that can be refilled, resold, emptied, and traded even without any energy content. According to the ABCDE methodology, the system has been divided into two subsystems, the BC and the application levels, and determined the actors and the related use case diagrams. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Smart contract

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Wideband Beamforming for Frequency Selective RRS Aided Near-Field Communications

Wideband Beamforming for Frequency Selective RRS Aided Near-...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Lin, Zicheng Zeng, Shuhao Zhang, Hongliang School of Electronic Engineering and Computer Science Peking University Beijing China Princeton University Department of Electrical and Computer Engineering NJ United States School of Electronic and Computer Engineering Peking University Shenzhen Graduate School China School of Electronics Peking University Beijing China

ISBN: (纸本)9798350368369

To satisfy the high data rate requirements, cellular systems will evolve towards the direction of higher carrier frequencies and larger antenna arrays. The conventional phased arrays are hard to fulfill such a vision due to its excessive power consumption induced by numerous phase shifters. To address this issue, Reconfigurable Refractive Surfaces (RRSs) provide a energy efficient solution without relying on phase shifters. With enlarged radiation aperture and increased working frequency, users are more likely to be located in the near field of the RRS. Moreover, the frequency selectivity of the RRS cannot be neglected given the wideband communications enabled by higher frequency bands. These two effects jointly aggravate the beam split problem where the signal strength of different frequency components cannot concentrate on the user, leading to a data rate degradation. In this paper, we study an RRS-based wideband near-field communication system with multiple users. Unlike most existing works, which only considered the beam split effect under near-field conditions, we jointly consider the influence of the frequency selectivity of RRS and near-field conditions on the beam split effect. To mitigate the beam split effect, the time-delay units are introduced in the RRS elements based on which a beamforming scheme is proposed to improve system data rate by jointly optimizing the digital beamformer, the phase shifts of RRS and the time-delay units. Simulation results demonstrate the effectiveness of our proposed scheme. © 2025 IEEE.

关键词： Antenna phased arrays

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Lightweight CPU-based Face detection with Efficient Feature Selector in Real-time Applications

Lightweight CPU-based Face detection with Efficient Feature ...

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IEEE International Symposium on Industrial electronics (ISIE)

作者： Muhamad Dwisnanto Putro Adri Priadana Duy-Linh Nguyen Kanghyun Jo Department of Electrical Engineering Sam Ratulangi University Manado Indonesia Department of Electrical Electronic and Computer Engineering University of Ulsan Ulsan Korea

ISBN: (数字)9798350394085

ISBN: (纸本)9798350394092

Face detection is the initial process of a face analysis system. It is thus crucial for intelligent surveillance systems that require an smart vision method to operate in real-time scenarios. The face detection capability will increase the practical value when implemented on a low-cost device, such as a CPU. Several lightweight face detection architectures exist; however, they require many parameters and computations. In this paper, a rapid face detector is proposed that localizes the facial area for implementation of video surveillance and Human-robot interaction systems on cheap devices. The detector includes a feature selector, which distinguishes the essential element using the positional relationship between features. In addition, an attention module is used to improve the feature quality by capturing global features on each mutually exclusive detection layer branch. Experimental results show that the proposed detector achieves a competitive performance of state-of-the-art lightweight face detection using only a few parameters and operations. Moreover, it has a fast data processing speed that reaches 122 FPS on a Core i5 CPU.

关键词： Service robots Social robots Detectors Feature extraction Data processing Video surveillance Real-time systems

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Sentiment Analysis with Deep Learning Methods for Performance Assessment and Comparison

Sentiment Analysis with Deep Learning Methods for Performanc...

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Image Processing and Robotics (ICIP), International Conference on

作者： Achhiya Sultana Mahady Hasan Mohammad Shidujaman Chinthaka Premachandra Department of Computer Science and Engineering Independent University Bangladesh Dhaka Bangladesh Department of Electronic Engineering Shibaura Institute of Technology Tokyo Japan

ISBN: (数字)9798350374766

ISBN: (纸本)9798350374773

The activity of obtaining and evaluating perspectives of individuals, feelings, mindsets of others, views, and so on, toward various things including subjects, goods, and ideas is known as sentiment analysis (SA), often called sentiment mining (SM). People are producing massive quantities of thoughts and feedback regarding goods, offerings, and daily operations as a result of the quick expansion of using online applications like blogs, social media platforms, and web pages. Companies, government agencies, and institutions can collect and evaluate general population attitudes along with opinions using sentiment analysis to acquire business insight and improve decision-making. The paper represents a complete research on sentiment analysis based on DL (deep learning) approaches to give researchers an idea of the evaluation of feelings and associated disciplines. This research represents the previous studies of emotional analysis and illustrates the methodology of our work. The methodology explains data extraction, data preprocessing, text preprocessing, feature extraction, feature selection, and so on. The dataset applied in the study is an IMDb movie reviews dataset containing equal amounts of samples for training and testing. Then, we discussed sentiment analysis techniques which are Simple Neural Networks (SNN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN). Using the methods, the outcome states that the simple neural network model generates an accuracy of 74.99% and a Convolutional Neural Network of 85.79%. Besides, the Recurrent Neural Network shows 86.46% which is the highest one. Furthermore, based on the results of the confusion matrix, we investigated the optimum model to attain the highest precision, recall, and F1 score.

关键词： Deep learning Training Sentiment analysis Recurrent neural networks Sociology Web pages Feature extraction

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