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2023 International Telecommunications Conference, ITC-Egypt 2023

作者： Abdelraheem, Mohammad A. Ali, Mohamed Mamdouh M. Sebak, Abdel Razik Concordia University Dept. Electrical and Computer Engineering Montreal Canada Assiut University Dept. Electrical Engineering Assiut Egypt

ISBN: (纸本)9798350326062

This paper introduces a comparator network for monopulse radars at the millimeter wave Ka band (26-29GHz). The network design is based on four Magic T's connected in an assembly through various bend junctions and lines. The network is implemented using gap waveguide technology where each Magic T consists of a hybrid coupler loaded with a 90° phase shifter at the output ports. The full comparator network achieves 15 dB isolation between the output ports. Less than 10° phase imbalance is achieved with 11% bandwidth. Compared time domain and frequency domain simulations show very good agreement in these results which validates the network performance. © 2023 IEEE.

关键词： Comparators (optical)

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Revolutionizing Requirements Elicitation: Deep Learning-Based Classification of Functional and Non-Functional Requirements 5

Revolutionizing Requirements Elicitation: Deep Learning-Base...

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5th IEEE International Conference on Pattern Recognition and Machine Learning, PRML 2024

作者： Hanna, Grace Boyar, Nathan Garay, Nathan Maleki, Mina University of Detroit Mercy Dept. of Electrical and Computer Engineering and Computer Science DetroitMI United States

ISBN: (纸本)9798350355925

The requirements elicitation phase in the software development life cycle (SDLC) is both critical and challenging, especially in the context of big data and rapid technological advancement. Traditional approaches like workshops and proto-typing, while useful, often struggle to keep pace with the massive data volumes and rapidly changing user demands characteristic of modern technology. This paper introduces a data-driven approach that utilizes deep learning (DL) and natural language processing (NLP) to enhance the requirements elicitation process by extracting requirements and classifying them into functional and non-functional categories. Our research involves a deep neural network (DNN) trained on a large dataset of transcriptions from client/user stories. This DNN can identify whether a specific text represents a functional requirement, a non-functional requirement, or neither. Our approach shows a marked improvement over previous methods, with a 33% increase in accuracy and an 18% increase in the F1 score. These results indicate the capability for deep learning techniques to play a vital role in elicitation. © 2024 IEEE.

关键词： Software design

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EfficientNet Convolutional Neural Network for Automated Cervical Spine Fracture Identification 6

EfficientNet Convolutional Neural Network for Automated Cerv...

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6th International Conference on Computational Intelligence and Networks, CINE 2024

作者： Sidpara, Pragati Agarwal, Anshul Swain, Debabrata Gupta, Rajeev Kumar Bhilare, Amol Upkare, Makarand Pandit Deendayal Energy University Dept. of Computer Science and Engineering Gandhinagar India Vishwakarma Institute of Technology Vishwakarma Institute of Technology Dept. of Computer Engineering Pune India

ISBN: (纸本)9798331516796

The aim of this study is to develop an automatic system that uses deep learning techniques to detect cervical spine fractures from medical images. Using a DICOM (Digital imaging and communications in medicine) images of cervical spine, the system can identify a fracture and specify which vertebrae has a fracture. This process involves first processing provided DICOM images, then applying data augmentation techniques including metadata information, finally designing neural network architecture for feature extraction. We use a method called transfer learning, utilizing a pre-trained model like EfficientNet, which is used for feature extraction, while optimizing network parameters using AdanW optimizer and CosineAnnealingWarmup learning rate scheduler. The results demonstrate the successful training of neural network models to identify fracture and that fractured vertebrae, with commendable performance and accuracy level noted during evaluation on validation data. This study has important implications for medical imaging and healthcare industries, since automated fracture detection can increase diagnostic efficiency and accuracy. Moreover, such a system would provide good support to healthcare professionals, specifically radiologists, to identify cervical spine fracture easily. © 2024 IEEE.

关键词： Digital Imaging and Communications in Medicine (DICOM)

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Multi-Indicator Water Quality Prediction Using Multimodal Bottleneck Fusion and ITransformer with Attention

Multi-Indicator Water Quality Prediction Using Multimodal Bo...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Bi, Jing Li, Yibo Zhang, Xuan Yuan, Haitao Wang, Ziqi Zhang, Jia Zhou, MengChu College of Computer Beijing University of Technology Beijing100124 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Southern Methodist University Dept. of Computer Science in Lyle School of Engineering DallasTX United States New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ United States

ISBN: (纸本)9781665410205

Water quality prediction methods forecast the future short or long-term trends of its changes, providing proactive advice for water pollution prevention and control. Existing water quality prediction methods only consider the historical data of single-type or multi-type water quality. However, meteorology and other factors also have a significant impact on water quality indicators. Therefore, only considering the historical data of water quality is not feasible. Unlike existing studies, this work proposes a hybrid water quality prediction model called CMI to solve the above problem. Before prediction, CMI incorporates a multimodal fusion mechanism of water quality time series and remote sensing images of meteorological rainfall. Moreover, CMI integrates the model of ConvNeXt V2 and a multimodal bottleneck transformer to extract image features for fusing the time series and images. Furthermore, it utilizes an emerging model of iTransformer to realize prediction with the fused features. Experimental results with real-life water quality time series and remotely sensed rainfall images demonstrate that CMI outperforms other state-of-the-art fusion algorithms, and the water quality prediction accuracy with fused meteorological data is 13% higher on average than that with only water quality time series. © 2024 IEEE.

关键词： Rain

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Free Space Optical Communication Using Principles of Quantum Mechanics 4

Free Space Optical Communication Using Principles of Quantum...

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4th International Conference on Innovations in computer Science, ICONICS 2024

作者： Angabeen, Tooba Asghar, Fatima Ali Zafar, Roohi Malik, Tahir Khan, Muhammad Mubashir Kamran, Muhammad NED University of Engineering and Technology Dept. of Physics Karachi Pakistan NED University of Engineering and Technology Dept. of Telecommunications Engineering Karachi Pakistan NED University of Engineering and Technology Dept. of Computer Science and Information Technology Karachi Pakistan

ISBN: (纸本)9798331504342

It all begun by the early 1970s through, the work of Stephen Wiesner and Gilles Brassard, who introduced the concept of quantum conjugate coding, and it has now stretched to a level where today's agile communication systems constitute a substantial challenge for data security and safety. A number of research has been performed to achieve secure communication among legitimate parties in which QKD (Quantum Key Distribution) is prominent. Quantum Key Distribution (QKD), also called Quantum Cryptography, enables two communicating parties to share secret cryptographic keys with security that is theoretically guaranteed by the laws of quantum mechanics, assuming ideal conditions. However, practical implementations may be vulnerable to certain attacks, and the security of QKD can be compromised by imperfections in hardware, side-channel attacks, or limitations in real-world setups. In a practical QKD setup, two stations send and receive encoded quantum particles and some classical information. The most rudimentary and well-known QKD protocol is BB84, developed by Bennet and Brassard in 1984. We have developed the simulation and achieved the secret shared key with and without an intruder. © 2024 IEEE.

关键词： Optical communication

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A Numerical Approach to Design and Optimization of Highly Efficient CuInS2/CMTS Based Tandem Solar Cell for Sustainable Energy Solution

A Numerical Approach to Design and Optimization of Highly Ef...

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2024 International Conference on Innovations in Science, engineering and technology, ICISET 2024

作者： Mahmud, Kazi Muntasir Salehin, Mizbahus Siddique, Md. Adnan Faisal Chittagong University of Engineering and Technology Dept. of Electrical and Electronic Engineering Bangladesh Chittagong University of Engineering and Technology Bangladesh

ISBN: (纸本)9798350355499

This research is primarily focused on addressing the increasing worldwide demands for energy while minimizing environmental impact by developing renewable and efficient energy alternatives. The objective of this research is to examine and enhance the progress of a tandem solar cell that possesses thermal stability, cost-effectiveness, and exceptional efficiency in power generation. Chalcogenide materials are highly regarded as promising choices for the sub cells in tandem configurations. Copper Indium Disulfide (CuInS 2) is regarded as the upper sub cell, whereas Copper Manganese Tin Sulfide (CMTS) is chosen as the lower sub cell, ensuring appropriate alignment of their bandgaps. The work utilizes comprehensive modelling and optimization approaches through SCAPS-1D software to identify a highly promising combination, namely CuInS I N O2 CMTS, which achieves remarkable power conversion efficiency of 38.03%, excellent thermal stability of - 0. 0 6 7 % °C, a short circuit current of 20.94 mA/cm2, an open circuit voltage of 2. 2 0 8 V, and a fill factor of 8 2. 2 3 %. During single cell simulation, for top and bottom cell, PCE was 18.34% and 2 6. 2 % respectively. Short circuit current in top, bottom and tandem cells was 20.91 mA/cm2, 20.93 mA/cm2, 20.94 mA/cm2 respectively, which ensures current matching of these cells. During the designing, working temperature was maintained at 300K. Tandem solar cells, which exceed single-junction performances in both stability and efficiency, are widely acknowledged to be essential in determining the development of solar energy in the future. This research significantly contributes to the current attempts to pioneer novel and economically feasible solar technology using a paradigmatic approach. It has enormous implications for global energy sustainability projects. © 2024 IEEE.

关键词： Open circuit voltage

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Universal Partitioning of a Large Array for Communications in Environments with Limited Spatial Coherence 58

Universal Partitioning of a Large Array for Communications i...

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58th Asilomar Conference on Signals, Systems and computers, ACSSC 2024

作者： Zhuang, Yongjie Buck, John R. Singer, Andrew C. Stony Brook University Dept. Electrical and Computer Engineering Stony BrookNY11794 United States University of Massachusetts Dartmouth Dept. Electrical and Computer Engineering DartmouthMA02740 United States

ISBN: (纸本)9798350354058

Large aperture arrays improve communication performance with higher gain, but are susceptible to limited spatial coherence of signals, especially in shallow water acoustic environments. An acoustic communication receiver's ability to combine the signal wavefront coherently degrades when there are losses across the array in either phase coherence or the ability to track phase variation. To mitigate such coherence issues, the array can be separated into smaller segments of sensors known as subapertures. The phase variations can be tracked and mitigated on each subaperture. Subsequently, each subaperture can be coherently combined to realize the full array gain, through this two-stage process. However, subaperture size selection remains an open problem, especially in dynamic, uncertain environments like those experienced in underwater acoustic communications. In this paper, a universal algorithm is proposed for realizing the performance of the best possible partitioning among a collection of partitions of the receiver into subapertures, such that the overall receiver performance is as good as if the best partitioning were known a priori. This work builds on previous work in universal adaptive filtering and beamforming. © 2024 IEEE.

关键词： Adaptive filtering

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Ontology Mapping-Based Semantic Reasoning with OPC UA for Heterogeneous Industrial Devices

Ontology Mapping-Based Semantic Reasoning with OPC UA for He...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Bi, Jing Wu, Rina Yuan, Haitao Wang, Ziqi Zhang, Jia Zhou, MengChu College of Computer Beijing University of Technology Beijing100124 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Southern Methodist University Dept. of Computer Science in Lyle School of Engineering DallasTX United States New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ United States

ISBN: (纸本)9781665410205

The advent of smart manufacturing in Industry 4.0 signifies the arrival of the era of connections. As an excellent communication protocol, Object linking and embedding for Process Control Unified Architecture (OPC UA) can address most semantic heterogeneity issues. However, its semantics are not formally defined at the application layer. To address the information silo problem caused by semantic heterogeneity, a method named Querying of Ontology Mapping-based OPC UA (QOMOU) is proposed. It extracts the information models of OPC UA servers into resource description framework triples, utilizes web ontology language for semantic enrichment and inference, and employs a semantic similarity model for event ontology mapping to improve query efficiency. The method's effectiveness is validated through functional queries using the SPARQL protocol in Apache Jena. The query efficiency is 5% higher on average compared to both structured query and extensible markup languages. Moreover, by employing a keyword-matching algorithm, the query accuracy of the existing heterogeneous data integration scheme is improved by 4% on average. This enhancement can boost the operational efficiency of Internet of Things systems based on the OPC UA architecture. © 2024 IEEE.

关键词： Structured Query Language

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Bringing DNS Service to 5G Edge for Reduced Latencies in mMTC Applications

Bringing DNS Service to 5G Edge for Reduced Latencies in mMT...

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2023 IEEE International Conference on Industrial technology, ICIT 2023

作者： Harrilal-Parchment, Ricardo Pineda, Diana Akkaya, Kemal Aydeger, Abdullah Perez-Pons, Alexander Florida International University Dept. of Electrical and Computer Engineering MiamiFL33174 United States Florida Institute of Technology Dept. of Electrical Engineering and Computer Science MelbourneFL32901 United States

ISBN: (纸本)9798350336504

5G brings many improvements to cellular networks in terms of performance, such as lower latency, improved network efficiency, and higher throughput, making it an attractive candidate for many applications. One such domain is industrial applications that may require real-time guarantees to transmit time-critical control messages. Assuming the immense number of devices exchanging data in support of Massive Machine-Type Communications (mMTC) applications, the capability of the cellular infrastructure to handle a large number of real-time transmissions may be inadequate. For such cases, there exists an acute desire to reduce any overheads as much as possible in order to guarantee certain deadlines. One such target is the Domain Name System (DNS) service, for which queries precede almost every new network request. This incorporates additional communication delays based on the response time, which in turn is affected by the proximity of the DNS server. While bringing DNS service to the edge has been touted as a logical solution, its integration with 5G systems is still challenging. This is due to the inability to access the DNS query information at the application layer since the User Equipment (UE) traffic is tunneled through to the core network. To this end, we propose a novel approach that can identify DNS queries at the base stations through Software-Defined Networking (SDN) capabilities. Specifically, we develop an SDN controller which is used to identify and extract DNS queries at the base station and handle the query at the edge without going through the 5G core network. This approach was implemented in a virtualized 5G network, in which we demonstrate that it is feasible and can potentially bring significant performance gains, especially in the case of mMTC applications. © 2023 IEEE.

关键词： 5G mobile communication systems

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Gauging Deep Learning Archetypal Effectiveness in Haematological Reclamation

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SN computer Science 2024年第7期5卷 1-19页

作者： Pradeep kumar, B.P. Ravikumar, J. Dept. of Computer Science and Design Atria Institute of Technology VTU Karnataka Bangalore India Dept. of Computer Science and Engineering Atria Institute of Technology VTU Karnataka Bangalore India

This paper project an system for reclamation of medical images in an effective way for the extraction and retrieving of data from large archives is critical. This study aims to improve haematological image reclamation by combining visual-based image reclamation (VBIR) approaches with the GLCM algorithm, specifically for characteristics related to the prostate gland. While previous research has focused on computer-aided methods for Gleason grading, our technique focuses on early-stage feature reclamation across 14 paired glands. The experimental findings, including Bicubic Interpolation The resolution Enrichment with a standard deviation of 12.37, kurtosis of 122.83, and skewness of 2.92, demonstrate improved reclamation performance. Our suggested methodology uses a handmade learning approach that includes critical components such as GLCM contrast and correlation. This extensive feature extraction step includes descriptors for morphology, texture, fractals, and contextual information, which are then subjected to in-dept. statistical analysis to identify significant features. Using an RNN, our technique improves performance somewhat but significantly when compared to alternatives, with time required for execution offering insights into the intricate interaction of stages and the effect of sample variability. These findings not only encourage more research, but also help to advance standard reviews in haematological analysis of images. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： Gland reclamation Gray-level co-occurrence matrix (GLCM) Haematological Haematological image Prostate gland

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