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31st Telecommunications Forum, TELFOR 2023

作者： Vujović, Vuk Milić, Dejan Petrović, Nenad Marković, Filip Suljović, Suad Stefanović, Radiša MB University Belgrade Computer Science and Informatics Information Technology Belgrade Serbia University of Niš Telecommunications Faculty of Electronic Engineering Niš Serbia University of Niš Computer Science and Informatics Faculty of Electronic Engineering Niš Serbia University of Priština Computer Science and Informatics Faculty of Technical Sciences Kosovska Mitrovica Serbia Computer Science and Informatics the Academy of Applied Technical Studies Belgrade Belgrade Serbia

ISBN: (纸本)9798350303131

In this paper, we performed an analysis of the outage probability (Pout) at the output of the receiver with selection combination (SC) with L branches of the wireless communication system in the presence of Beaulieu-Xie (BX) fading and BX co-channel interference (CCI). The mathematical form of the function for Pout as a normalized signal-to-interference ratio (SIR) was derived, based on which a graph was drawn for different values of fading and CCI parameters. The second part of the paper considers applying machine learning approach relying on ChatGPT with aim to enable fading type recognition based on Pout measurements, which can be further used in order to perform Quality of Service (QoS) adaptation by tuning receiver's parameters. © 2023 IEEE.

关键词： Quality of service

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Matlab GUI-based Tool to Determine Performance Metrics of Physical Unclonable Functions 31

Matlab GUI-based Tool to Determine Performance Metrics of Ph...

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31st International Conference on Cybernetics and informatics, K and I 2022

作者： Kareem, Husam Almousa, Khaleel Dunaev, Dmitriy Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Automation and Applied Informatics BudapestH-1111 Hungary

ISBN: (数字)9781665487757

ISBN: (纸本)9781665487757

This paper presents a MATLAB Graphical User Interface (GUI) based tool that determines the performance evaluation metrics of the physically unclonable functions (PUFs). The PUFs are hardware security primitives which can be utilized in several hardware security applications like integrated circuits protection, device authentication, secret key generation, and hardware obfuscation. Like any other technology approach, PUFs evaluation requires testing different performance metrics, each of which can be determined by at least one mathematical equation. The proposed tool (PUFs Tool) reads the PUF instances' output and then computes and generates the values of the main PUFs' performance metrics: uniqueness, reliability, uniformity, and bit-aliasing. In addition, it generates a bar code for each PUF instance considered in the evaluation process. The PUFs Tool is designed and developed using the app designer of MATLAB software 2021b. © 2022 IEEE.

关键词： MATLAB

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E-mail Spam Classification Using Grasshopper Optimization Algorithm and Neural Networks

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Computers, Materials & Continua 2022年第6期71卷 4749-4766页

作者： Sanaa A.A.Ghaleb Mumtazimah Mohamad Syed Abdullah Fadzli Waheed A.H.M.Ghanem Faculty of Informatics and Computing Universiti Sultan Zainal AbidinKuala Terengganu22200Malaysia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia TerengganuKuala Terengganu21030Malaysia Faculty of Engineering University of AdenAdenYemen Faculty of Education(Aden-Saber) University of AdenAdenYemen

Spam has turned into a big predicament these days,due to the increase in the number of spam emails,as the recipient regularly receives piles of *** only is spam wasting users’time and *** addition,it limits the storage space of the email box as well as the disk ***,spam detection is a challenge for individuals and organizations *** advance spam email detection,this work proposes a new spam detection approach,using the grasshopper optimization algorithm(GOA)in training a multilayer perceptron(MLP)classifier for categorizing emails as ham and ***,MLP and GOA produce an artificial neural network(ANN)model,referred to(GOAMLP).Two corpora are applied Spam Base and UK-2011Web spam for this ***,the finding represents evidence that the proposed spam detection approach has achieved a better level in spam detection than the status of the art.

关键词： Grasshopper optimization algorithm multilayer perceptron artificial neural network spam detection approach

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Forwarding Strategy Performance Using NFD Pipeline Measurements on Vehicular Named Data Networking (V-NDN) 9

Forwarding Strategy Performance Using NFD Pipeline Measureme...

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9th International Conference on Wireless and Telematics, ICWT 2023

作者： Ahdan, Syaiful Syambas, Nana Rachmana Iskandar School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung40132 Indonesia Faculty of Engineering & Computer Science Lampung35132 Indonesia

ISBN: (纸本)9798350305029

The Named Data Networking (NDN) paradigm has been used as a promising vehicle communication model, namely the Vehicular Named Data Networking (V-NDN) model. In NDN, delivery of interest in the NDN network is done by selecting an existing interface. The problem is as to which interface is right in terms of fulfilling the request that suits the user. In this study, we compare the effectiveness of each forwarding strategy by creating new scenarios, such as variations in the number of interests and simulation time. We also measure the effectiveness of the forwarding strategy using the parameters specified in the NFD Forwarding Pipeline. The conclusion from the experiment is that superior forwarding strategy recommendations are based on content store (CS) management and data compatibility obtained based on consumer demand for producers. © 2023 IEEE.

关键词： Pipelines

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DMQ: Dual-Mode Q-Learning Hardware Accelerator for Shortest Path and Coverage Area 37

DMQ: Dual-Mode Q-Learning Hardware Accelerator for Shortest ...

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37th IEEE International System-on-Chip Conference, SOCC 2024

作者： Syafalni, Infall Firdaus, Mohamad Imam Sutisna, Nana Adiono, Trio Juhana, Tutun Mulyawan, Rahmat Bandung Institute of Technology School of Electrical Engineering and Informatics Indonesia University Center of Excellence on Microelectronics Bandung Institute of Technology Indonesia The University of Tokyo System Design Laboratory School of Engineering Tokyo Japan

ISBN: (纸本)9798350377569

In this paper, we propose a novel dual-mode Q-learning hardware accelerator (DMQ) for shortest path and coverage area problems. The hardware accelerator design uses only an agent to tackle multiple modes, in this case, shortest path and coverage area problems for mobile robots. The work proposes a modified policy generator that supports two reward functions for the shortest path and coverage area. The coverage area mode has 4 × state spaces than that of the shortest path mode. We also explore some policy generators such as decreasing epsilon and greedy for the dual-mode Q-learning accelerator. Experimental results show that by using a greedy policy generator the learning rate of an agent is faster for both problems. Moreover, the hardware architecture requires only 1199 LUTs, 4 LUTRAMs, and 6 BRAMs for the dual-mode functions. With a throughput of 185.63 MHz, the proposed work outperforms other methods up to 13 × in energy efficiency. The proposed work is useful for disaster recovery, smart navigation, and other artificial intelligence applications. © 2024 IEEE.

关键词： Mobile robots

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RKUPH Approval Service System Design Using SCSE Framework 7

RKUPH Approval Service System Design Using SCSE Framework

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7th International Conference on Information technology Systems and Innovation, ICITSI 2022

作者： Rinaldy, Dicky Suhardi Muhamad, Wardani School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (数字)9781665465557

ISBN: (纸本)9781665465557

The existence of IT services in supporting business processes is a must in today's modern organizations. The main goal to be achieved is to maintain the existence of the organization in accordance with the times. In practice, the development of IT services is highly dependent on the availability of human resources who have competence in software development. However, this limitation can be overcome by involving external parties (external outsourcing) as software developers. However, this approach has a weakness if the organization's service needs are not well defined, so it will be difficult for external parties who do not understand the organization's business processes;it has the potential to cause differences in specifications and development results. The PUPH Directorate has the same problem in realizing the transformation of forest management i.e., changing the RKUPH approval service from conventional to IT-based. To fulfill this, the PUPH Directorate must provide IT service design documents to develop IT services. Therefore, this study aims to design an IT service system that can then be used as a guide for application development by external parties. The SCSE framework was chosen as a guide in designing IT service systems. The resulting design evaluated against four SOA principles: coupling, cohesion, usability, and complexity. Based on the evaluation results, the values of the four principles are 0.009, 0.924, 0.010, and 3,000. It indicates that the resulting design are loosely coupling and high cohesion. Furthermore, adding web mockup activities and optimizing service blueprint activities in the SCSE framework makes it easier for organizations to develop business and IT service designs that align with organizational goals and strategies. In addition, the resulting design is easily understood by external parties so that the service system design that has been made becomes a control card for the development of IT services by external parties. © 2022 IEEE.

关键词： Outsourcing

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Reconfiguring wireless environments via intelligent surfaces for 6G: reflection, modulation, and security

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Science China(Information Sciences) 2023年第3期66卷 60-79页

作者： Jindan XU Chau YUEN Chongwen HUANG Naveed UL HASSAN George C.ALEXANDROPOULOS Marco DI RENZO Mérouane DEBBAH Engineering Product Development Pillar Singapore University of Technology and Design College of Information Science and Electronic Engineering Zhejiang University Department of Electrical Engineering Lahore University of Management Sciences Department of Informatics and Telecommunications National and Kapodistrian University of Athens Technology Innovation Institute Université Paris-Saclay CNRS Centrale Supélec Laboratoire des Signaux et Systèmes

The reconfigurable intelligent surface(RIS) has been recognized as an essential enabling technology for sixth-generation(6G) mobile communication networks. An RIS comprises a large number of small and low-cost reflecting elements whose parameters can be dynamically adjusted with a programmable *** of these elements can effectively reflect a phase-shifted version of the incident electromagnetic wave. By configuring the wave phases in real time, the propagation environment of the information-bearing signals can be dynamically manipulated to enhance communication reliability, boost transmission rate, expand cellular coverage, and strengthen communication security. In this study, we provide an overview on RIS-assisted wireless communications. Specifically, we elaborate on the state-of-the-art enabling techniques for the RIS technology as well as their corresponding substantial benefits from the perspectives of RIS reflection and RIS modulation. With these benefits, we envision the integration of RISs into emerging applications for6G. In addition, communication security is of unprecedented importance in future 6G networks with ubiquitous wireless services in multifarious verticals and areas. We highlight potential contributions of RISs to physical-layer security, in terms of secrecy rate and secrecy outage probability, exemplified by a typical case study from both theoretical and numerical aspects. Finally, we discuss challenges and opportunities on the deployment of RISs in practice to motivate future research.

关键词： reconfigurable intelligent surface physical-layer security RIS-assisted wireless communications phase modulation 6G

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Face Morph Detection: A Systematic Review 9

Face Morph Detection: A Systematic Review

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9th International Conference on ICT for Smart Society, ICISS 2022

作者： Fauzy Sucipto, Rezza Hidayat, Fadhil School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (数字)9781665471350

ISBN: (纸本)9781665471350

Biometric verification especially faces recognition has been widely applied in daily life, including in immigration. Face recognition is used for identification verification in passport identities. But there is a security threat in face recognition, which is called face morph. Face morph is the combination of the passport applicant's face image with the face image of another subject to produce a face image similar to the face of the applicant's passport document by covering the facial features of the other subject. It can cause serious problems if misused by people listed on the blacklist. Blacklists are people who are subject to immigration restrictions such as suspension of passport issuance, inclusion on the prevention list, and inclusion on the deterrence list. So that the person listed on the blacklist can have a passport to then cross the border out of Indonesian territory which can cause problems and disturb the country's sovereignty. This research uses the Systematic Literature Review (SLR) method to collect and analyze previous studies related to the research topic. The result of this research is to get the method and trend of face morph detection. Detection of face morphs is generally divided into 2 scenarios, i.e., single image-based and differential image-based. The detection method for single image-based is divided into texture, quality, noise, deep learning, and hybrid, while the detection method for differential image-based is divided into feature difference and demorphing. So, with face morph detection, it is expected to be able to increase the security of passport documents and increase security at immigration checkpoints. © 2022 IEEE.

关键词： Face recognition

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Phone Call Speaker Classification using Machine Learning on MFCC Features for Scam Detection 6

Phone Call Speaker Classification using Machine Learning on ...

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6th International Conference on Information technology, Information Systems and Electrical engineering, ICITISEE 2022

作者： Rahman, Yanisa Medrina Bandung, Yoanes School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9798350399615

With the expansion of information and communication technology, human vulnerability to security threats is increasing. One of those threats is phone call-based fraud. Numerous studies on phone scam detection have been conducted. However, the proposed methods still have flaws, including identity spoofing, voice impersonation, and the risk of user privacy leakage. The lack of datasets is also a problem, particularly in the Indonesian language, where our research focuses. In this paper, we construct a phone call voice dataset from YouTube videos and conduct experiments on voice classification using machine learning and MFCC features in order to build a scam detection system that classifies speakers based on their voices and uses them as identifiers to build reputations. Support Vector Machine is the most accurate of the four machine learning classifiers we compare, achieving 94.46% accuracy using 68 MFCC features. © 2022 IEEE.

关键词： audio classification detection MFCC features phone scam SVM

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Investigation of the Refractive Index Sensitivity of Hexagonally Arranged Gold Nanoparticles With Finite Element Method (FEM) 18

Investigation of the Refractive Index Sensitivity of Hexagon...

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18th IEEE Nanotechnology Materials and Devices Conference, NMDC 2023

作者： Kovács, Rebeka Bonyár, Attila Budapest University of Technology and Economics The Wigner Research Centre for Physics Faculty of Electrical Engineering and Informatics Department of Electronics Technology Budapest Hungary

ISBN: (纸本)9798350335460

In biosensing, label-free detection techniques have the advantage of a shorter analysis time and can be more cost-effective. In this paper a localized surface plasmon resonance (LSPR) sensor based on hexagonally arranged ellipsoidal gold nanoparticles is designed and investigated by finite element method (FEM) via COMSOL Multiphysics. The wave optics module was used to investigate the relationship between the geometrical properties of the nanoparticle arrangements and their refractive index sensitivity. The effect of different linearly and circularly polarized light was further investigated. The purpose of this work is to optimize the arrangement of experimentally realizable ellipsoidal gold nanoparticle arrangements to maximize the performance of the LSPR-based sensor device and to compare the simulation results with experimentally obtained sensitivities, and present detailed geometrical optimizations. © 2023 IEEE.

关键词： Gold nanoparticles

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