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arXiv 2025年

作者： Arunruangsirilert, Kasidis Wongprasert, Pasapong Katto, Jiro Department of Computer Science and Communications Engineering Waseda University Tokyo Japan Department of Electrical Engineering Chulalongkorn University Bangkok Thailand

The 5G New Radio (NR) standard introduces new frequency bands allocated in Frequency Range 2 (FR2) to support enhanced Mobile Broadband (eMBB) in congested environments and enables new use cases such as Ultra-Reliable Low Latency Communication (URLLC). The 3GPP introduced 256QAM support for FR2 frequency bands to further enhance downlink capacity. However, sustaining 256QAM on FR2 in practical environments is challenging due to strong path loss and susceptibility to distortion. While 256QAM can improve theoretical throughput by 33%, compared to 64QAM, and is widely adopted in FR1, its real-world impact when utilized in FR2 is questionable, given the significant path loss and distortions experienced in the FR2 range. Additionally, using higher modulation correlates to higher BLER, increased instability, and retransmission. Moreover, 256QAM also utilizes a different MCS table defining the modulation and code rate at different Channel Quality Indexes (CQI), affecting the UE’s link adaptation behavior. This paper investigates the real-world performance of 256QAM utilization on FR2 bands in two countries, across three RAN manufacturers, and in both NSA (EN-DC) and SA (NR-DC) configurations, under various scenarios, including open-air plazas, city centers, footbridges, train station platforms, and stationary environments. The results show that 256QAM provides a reasonable throughput gain when stationary but marginal improvements when there is UE mobility while increasing the probability of NACK responses, increasing BLER, and the number of retransmissions. Finally, MATLAB simulations are run to validate the findings as well as explore the effect of the recently introduced 1024QAM on FR2. Copyright © 2025, The Authors. All rights reserved.

关键词： MATLAB

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A Self-matching Training Method with Annotation Embedding Models for Ontology Subsumption Prediction

arXiv

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arXiv 2024年

作者： Shiraishi, Yukihiro Kaneiwa, Ken Department of Computer and Network Engineering Graduate School of Informatics and Engineering The University of Electro-Communications Tokyo Japan

Recently, ontology embeddings representing entities in a low-dimensional space have been proposed for ontology completion. However, the ontology embeddings for concept subsumption prediction do not address the difficulties of similar and isolated entities and fail to extract the global information of annotation axioms from an ontology. In this paper, we propose a self-matching training method for the two ontology embedding models: Inverted-index Matrix Embedding (InME) and Co-occurrence Matrix Embedding (CoME). The two embeddings capture the global and local information in annotation axioms by means of the occurring locations of each word in a set of axioms and the co-occurrences of words in each axiom. The self-matching training method increases the robustness of the concept subsumption prediction when predicted superclasses are similar to subclasses and are isolated to other entities in an ontology. Our evaluation experiments show that the self-matching training method with InME outperforms the existing ontology embeddings for the GO and FoodOn ontologies and that the method with the concatenation of CoME and OWL2Vec* outperforms them for the HeLiS ontology. Copyright © 2024, The Authors. All rights reserved.

关键词： Ontology

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Deep Learning-Based Symbol Detection for Time-Varying Nonstationary Channels

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China communications 2022年第3期19卷 158-171页

作者： Xuantao Lyu Wei Feng Ning Ge Xianbin Wang Research Center of Networks and Communications Peng Cheng LaboratoryShenzhen 518055China Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Department of Electrical and Computer Engineering The University of Western OntarioLondonON N6A 5B9Canada

The highly dynamic channel(HDC)in an extremely dynamic environment mainly has fast timevarying nonstationary *** this article,we focus on the most difficult HDC case,where the channel coherence time is less than the symbol *** this end,we propose a symbol detector based on a long short-term memory(LSTM)neural *** the sampling sequence of each received symbol as the LSTM unit's input data has the advantage of making full use of received information to obtain better *** addition,using the basic expansion model(BEM)as the preprocessing unit significantly reduces the number of neural network ***,the simulation part uses the highly dynamic plasma sheath channel(HDPSC)data measured from shock tube *** results show that the proposed BEM-LSTM-based detector has better performance and does not require channel estimation or channel model information.

关键词： highly dynamic channel deep neural network long short-term memory basis expansion model symbol detection

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DISINFOX: an open-source threat exchange platform serving intelligence on disinformation and influence operations

arXiv

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arXiv 2025年

作者： González, Felipe Sánchez Galindo, Javier Pastor Ruipérez-Valiente, José A. Department of Information and Communications Engineering University of Murcia Spain Department of Computer Systems Engineering Universidad Politecnica de Madrid Spain

This paper introduces DISINFOX, an open-source threat intelligence exchange platform for the structured collection, management, and dissemination of disinformation incidents and influence operations. Analysts can upload and correlate information manipulation and interference incidents, while clients can access and analyze the data through an interactive web interface or programmatically via a public API. This facilitates integration with other vendors, providing a unified view of cybersecurity and disinformation events. The solution is fully containerized using Docker, comprising a web-based frontend for user interaction, a backend REST API for managing core functionalities, and a public API for structured data retrieval, enabling seamless integration with existing Cyber Threat Intelligence (CTI) workflows. In particular, DISINFOX models the incidents through DISARM Tactics, Techniques, and Procedures (TTPs), a MITRE ATT&CK-like framework for disinformation, with a custom data model based on the Structured Threat Information eXpression (STIX2) standard. As an open-source solution, DISINFOX provides a reproducible and extensible hub for researchers, analysts, and policymakers seeking to enhance the detection, investigation, and mitigation of disinformation threats. The intelligence generated from a custom dataset has been tested and utilized by a local instance of OpenCTI, a mature CTI platform, via a custom-built connector, validating the platform with the exchange of more than 100 dis- © 2025, CC BY.

关键词： Network security

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Energy analysts need a standard that interprets the Metro Area Global Information Infrastructure 15

Energy analysts need a standard that interprets the Metro Ar...

引用

2022 IEEE Congress on Cybermatics: 15th IEEE International Conferences on Internet of Things, iThings 2022, 18th IEEE International Conferences on Green Computing and communications, GreenCom 2022, 2022 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2022 and 8th IEEE International Conference on Smart Data, SmartData 2022

作者： Depasquale, Etienne-Victor Zammit, Saviour Davoli, Franco Bolla, Raffaele Department of Communications and Computer Engineering University of Malta Msida Malta Department of Electrical Electronic and Telecommunications Engineering and Naval Architecture University of Genoa Genoa Italy

ISBN: (数字)9781665454179

ISBN: (纸本)9781665454179

In this paper, we argue that the energy analyst's understanding of the metro area network must be supported by a standard that (a) generalizes diversity, through the means of the abstraction of the implementational model, while (b) distinguishing between deployments through physical reference points. The need for this kind of model has already been foreseen in the ITU-T's Recommendation Y.110, including the need "to illustrate how system performance can be affected by implementation."Preliminary results that concern the access network are presented. © 2022 IEEE.

关键词： Next generation networks

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Computational Analysis of Electric Stimulus Protocols to Investigate Their Impact on Various Breast Cancer Cells

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Biomedical Materials and Devices 2024年 1-20页

作者： Sherif, Sameh Ghallab, Yehya H. Ismail, Yehea School of Electronics Communications & amp Computer Engineering Egypt-Japan University of Science & amp Technology Alexandria Egypt Biomedical Engineering Department Helwan University Cairo Egypt Center of Nanoelectronics and Devices (CND) Zewail City of Science and Technology and The American University in Cairo (AUC) Giza Egypt

This study aimed to investigate how different kinds of breast cancer cells react to different electric pulses, with a particular emphasis on nanosecond pulses. Using a mathematical model, the study examined important electroporation characteristics, including transmembrane potential, pore radius, density, conductivity, and permittivity. These measurements shed light on the features of the cells and how small changes in internal electric properties—such as capacitance—affect the way they respond to electroporation. The equations characterizing these properties were solved using the COMSOL Multiphysics Model, which allowed for a thorough comprehension of the dynamics controlling cell membrane permeability under electrical stimulation. Utilizing the COMSOL Multiphysics software, a computational model has been constructed that replicated the electroporation process of breast cancer cells as part of our methodology. The parameters of the model were modified to correspond with the characteristics of diverse breast cancer cell types. With particular attention to the impact of nanosecond electric pulses, pore development has been examined, as transmembrane potential changes, and other relevant physical features. By identifying and comparing the responses of various cancer cell types to these pulses, the simulations furnished a quantitative evaluation of the electroporation’s efficacy. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Applied electric field Breast cancer cells Cell analysis Cell membrane Computational mathematical model Mathematical Modeling Pore radius Pores density Stimulus signal Transmembrane potential

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Real-Time Multi-Class Infection Classification for Respiratory Diseases

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computers, Materials & Continua 2022年第11期73卷 4157-4177页

作者： Ahmed El.Shafee Walid El-Shafai Abdulaziz Alarifi Mohammed Amoon Aman Singh Moustafa H.Aly Department of Electrical Engineering Faculty of EngineeringAhram Canadian UniversityGizaEgypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Computer Science Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Higher Polytechnic School Universidad Europea del AtlánticoSantander39011Spain Electronics and Communications Engineering Department College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt

Real-time disease prediction has emerged as the main focus of study in the field of computerized *** disease identification framework can assist medical practitioners in diagnosing disease in a way that is reliable,consistent,and timely,successfully lowering mortality rates,particularly during endemics and *** prevent this pandemic’s rapid and widespread,it is vital to quickly identify,confine,and treat affected *** need for auxiliary computer-aided diagnostic(CAD)systems has *** recent studies have indicated that radiological pictures contained critical information regarding the COVID-19 *** advanced convolutional neural network(CNN)architectures in conjunction with radiological imaging makes it possible to provide rapid,accurate,and extremely useful susceptible *** research work proposes a methodology for real-time detection of COVID-19 infections caused by the Corona *** purpose of this study is to offer a two-way COVID-19(2WCD)diagnosis prediction deep learning system that is built on Transfer Learning Methodologies(TLM)and features customized fine-tuning on top of fully connected layered pre-trained CNN architectures.2WCD has applied modifications to pre-trained models for better *** is designed and implemented to improve the generalization ability of the classifier for binary and multi-class *** with the ability to differentiate COVID-19 and No-Patient in the binary class model and COVID-19,No-Patient,and Pneumonia in the multi-class model,our framework is augmented with a critical add-on for visually demonstrating infection in any tested radiological image by highlighting the affected region in the patient’s lung in a recognizable color *** proposed system is shown to be extremely robust and reliable for real-time COVID-19 diagnostic *** can also be used to forecast other lung-related *** the system can assist medical practitioner

关键词： COVID-19 real-time computerized disease prediction intelligent disease identification framework CAD systems X-rays CT-scans CNN real-time detection of COVID-19 infections

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Bounded Indistinguishability for Simple Sources 13

Bounded Indistinguishability for Simple Sources

引用

13th Innovations in Theoretical computer Science Conference, ITCS 2022

作者： Bogdanov, Andrej Dinesh, Krishnamoorthy Filmus, Yuval Ishai, Yuval Kaplan, Avi Srinivasan, Akshayaram Department of Computer Science and Engineering Institute of Theoretical Computer Science and Communications The Chinese University of Hong Kong Hong Kong Institute of Theoretical Computer Science and Communications The Chinese University of Hong Kong Hong Kong The Henry and Marylin Taub Faculty of Computer Science Technion Haifa Israel School of Technology and Computer Science Tata Institute of Fundamental Research Mumbai India

ISBN: (纸本)9783959772174

A pair of sources X, Y over {0, 1}n are k-indistinguishable if their projections to any k coordinates are identically distributed. Can some AC0 function distinguish between two such sources when k is big, say k = n0.1? Braverman's theorem (Commun. ACM 2011) implies a negative answer when X is uniform, whereas Bogdanov et al. (Crypto 2016) observe that this is not the case in general. We initiate a systematic study of this question for natural classes of low-complexity sources, including ones that arise in cryptographic applications, obtaining positive results, negative results, and barriers. In particular: - There exist Ω(√n)-indistinguishable X, Y, samplable by degree-O(log n) polynomial maps (over F2) and by poly(n)-size decision trees, that are Ω(1)-distinguishable by OR. - There exists a function f such that all f(d, ϵ)-indistinguishable X, Y that are samplable by degree-d polynomial maps are ϵ-indistinguishable by OR for all sufficiently large n. Moreover, f(1, ϵ) = ⌈log(1/ϵ)⌉ + 1 and f(2, ϵ) = O(log10(1/ϵ)). - Extending (weaker versions of) the above negative results to AC0 distinguishers would require settling a conjecture of Servedio and Viola (ECCC 2012). Concretely, if every pair of n0.9indistinguishable X, Y that are samplable by linear maps is ϵ-indistinguishable by AC0 circuits, then the binary inner product function can have at most an ϵ-correlation with AC0 ◦ ⨁ circuits. Finally, we motivate the question and our results by presenting applications of positive results to low-complexity secret sharing and applications of negative results to leakage-resilient cryptography. © Andrej Bogdanov, Krishnamoorthy Dinesh, Yuval Filmus, Yuval Ishai, Avi Kaplan, and Akshayaram Srinivasan;licensed under Creative Commons License CC-BY 4.0

关键词： Decision trees

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Prediction of Breast Cancer Risk Using Microarrays and Deep Learning 1

Prediction of Breast Cancer Risk Using Microarrays and Deep ...

引用

1st IEEE International Conference on Networking and communications, ICNWC 2023

作者： Shanmu, R. Madhubala Brundha, P. Swaminathan, G. Aravind Merlin, R. Tino Hemamalini, V. Ramnath, M. Francis Xavier Engineering College Department of CSE Tamil Nadu Tirunelveli India School of Computing SRMIST KTR Department of Networking and Communications Tamil Nadu Chennai India Thamirabharani Engineering College Department of Computer Science and Engineering Tamil Nadu Tirunelveli India

ISBN: (纸本)9798350336009

More than 1.15 million new instances of breast cancer are identified each year. In the clinic, only a few reliable prognostic and predictive indicators are utilized to make decisions about the treatment of breast cancer patients. The mortality rate of breast cancer patients may be lowered and their survival time extended by early identification. Analysis and processing of Microarray images, the principal test used for screening and early diagnosis, are the keys to improving breast cancer prognosis and are at the heart of this study. The Fuzzy C-means (FCM) approach is used for image segmentation in microarray for the detection of breast cancer. After features are retrieved from the segmented areas and the system is fully trained, the efficient classifier is used to assign microarrays to their respective classes. Techniques such as Multi-level Discrete Wavelet Transform, Principal Component Analysis (PCA), and Gray-level Co-occurrence Matrix (GLCM) are used to extract texture information. Differentiating masses and microarray image calcifications from the surrounding tissue is achieved with the aid of morphological operators and the classification of these features is handled by the Deep Convolution Neural Network (DCNN) algorithm. In a microarray, the tumor's borders are highlighted and exhibited to the doctor, who may then assess the extent of the growth. © 2023 IEEE.

关键词： Textures

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Highly Directive Compact Multiband MIMO Antenna with Improved Gain for 5G Wireless Communication System 12

Highly Directive Compact Multiband MIMO Antenna with Improve...

引用

12th IEEE-APS Topical Conference on Antennas and Propagation in Wireless communications, APWC 2023

作者： Khan, Owais Khan, Shahid Alibakhshikenari, Mohammad Anab, Muhammad Nasir, Jamal Dalarsson, Mariana Cecos University of It and Emerging Sciences Peshawar Pakistan Comsats University Abbottabad Campus Department of Electrical and Computer Engineering Abbottabad Pakistan Universidad Carlos Iii de Madrid Department of Signal Theory and Communications Leganés Madrid28911 Spain Uet Peshawar Department of Electrical Engineering Pakistan Comsats University Islamabad Abbottabad Campus Department of Electrical and Computer Engineering Pakistan School of Electrical Engineering and Computer Science Kth Royal Institute of Technology SE Stockholm100-44 Sweden

ISBN: (纸本)9798350320602

A novel wide dual-band, Multiple-Input Multiple-Output (MIMO) antenna design for the upcoming fifth generation (5G) wireless communication is presented in this work. The size of single element of the proposed MIMO configuration is 4×5 mm2having L-shaped slot at the top edge. Rogers TMM4 with thickness of 0.508 mm having relative permittivity of 4.5 is used as a substrate material. Resonating frequencies of single antenna element are 40.15, 67.80 and 91.23 GHz with a wide impedance bandwidth of 2.22 and 34.43 GHz, respectively. The return loss at resonating frequencies are - 29.25, -66.30. and -20.00 dB with a good gain of 5.51, 4.27 and 3.70 dBi, respectively. The overall size of proposed 1×2 MIMO antenna is 4×7 mm2with a separation of 3.6 mm in between two elements and 0.6 mm separation between the edges and elements. The resonating frequencies of the proposed MIMO antenna are 40.36 GHz with reasonable gain of 4.62 dBi, and 67.59 and 95.73 GHz with improved gain of 5.42 and 5.70 dBi, respectively. The simulated return loss below -10db at resonating frequencies are -21.92, -63.38 and -27.87 dB, respectively. Inter-port isolation of above 20 dB throughout the operating frequencies, is achieved without using any complex technique. Envelope Correlation Coefficient (ECC) and Diversity Gain (DG), are important MIMO antenna parameters are less than 0.001 and 10 dB respectively. The proposed design with a high radiation efficiency at resonating frequencies is a good candidate for the satellite and radar communication as the achieved operating range lies in the proposed Ka-band (26-40 GHz), V-band (40-75 GHz), E-band (60-90 GHz) and W-band (75-110 GHz). © 2023 IEEE.

关键词： Microwave antennas

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