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2024 IEEE International Symposium on Phased Array Systems and Technology, ARRAY 2024

作者： Basherlou, Haleh Jahanbakhsh Parchin, Naser Ojaroudi See, Chan Hwang Abd-Alhameed, Raed A. School of Computing Engineering and the Built Environment Edinburgh Napier University Edinburgh United Kingdom University of Bradford Faculty of Engineering and Informatics BradfordBD7 1DP United Kingdom

ISBN: (纸本)9798350392142

This paper investigates the features of a new metamaterial-inspired phased array that exhibits high-gain and steerable radiation capabilities, catering to the needs of future cellular networks. Its schematic incorporates eight modified dipole elements arranged in a 1 × 8 linear configuration. To enhance the radiation properties of the designed dipole resonators, 2 × 2 metamaterial unit cells are positioned alongside each dipole resonator. The dipole resonators are compact in size and employ microstrip-line feeds. The suggested smartphone phased array design achieves an impedance bandwidth of 28-32 GHz with -10 dB, offering over 80% total efficiencies and 13 dBi radiation gains. This promising performance aligns with the essential requirements of future cellular communications. © 2024 IEEE.

关键词： Antenna phased arrays

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Modelling and Forecasting Mortality Rates Using a Neural Network-Integrated Lee-Carter Model 5

Modelling and Forecasting Mortality Rates Using a Neural Net...

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5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024

作者： Aityqah Yaacob, Nurul Mohamed, Ibrahim Noor Dina Ahmad, Siti College of Computing Informatics and Mathematics Universiti Teknologi Mara Cawangan Negeri Sembilan Negeri Sembilan Kuala Pilah Malaysia Institute of Mathematical Sciences Faculty of Science University of Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9798331528553

Artificialneural networks (ANNs), modelled after the brain's structure and function, can capture complex nonlinear relationships between predictors and response variables. This study integrates ANNs with the Lee-Carter (LC) framework using a multilayer feed-forward network to forecast the mortality index (kt), which tracks changes in mortality rates over time within the LC model. This mortality index is essential for forecasting future mortality patterns. Traditionally, the LC model uses an autoregressive integrated moving average (ARIMA) process to predict kt but ARIMA struggles with accurately forecasting future mortality trends. We compared the performance of the multilayer feed-forward network against ARIMA using mortality data from 19 countries, evaluating the models using root mean square error (RMSE) and mean absolute error (MAE). Our findings indicate that the multilayer feed-forward network outperforms ARIMA in forecasting mortality rates for 17 out of 19 countries. Additionally, integrating wavelet analysis and fuzzy logic with ANNs could further enhance forecasting accuracy by effectively managing non-stationary data, uncertainty, and complex patterns. © 2024 IEEE.

关键词： Prediction models

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Interval-Valued Fuzzy Bézier Surface Approximation 5

Interval-Valued Fuzzy Bézier Surface Approximation

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5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024

作者： Sahrom, Nor Ashikin Emir Zulkifly, Mohammad Izat Idara Rosli, Siti Nur Universiti Teknologi Malaysia Faculty of Science Department of Mathematics Johor Malaysia College of Computing Informatics and Mathematics Universiti Teknologi MARA Cawangan Negeri Sembilan Kampus Kuala Pilah Negeri Sembilan Malaysia

ISBN: (纸本)9798331528553

In the field of geometry and computer-aided design Bézier surfaces are well known for their flexibility and effectiveness, in depicting shapes. However, dealing with real-world data and model parameters often involves uncertainty and imprecision that regular Bézier surfaces struggle to handle. This piece introduces the idea of interval-valued fuzzy Bézier Surface Approximation, an approach that combines logic and interval arithmetic to tackle uncertainty in surface modeling. In this paper, interval-valued fuzzy Bézier surface approximation is introduced. The interval-valued fuzzy control net relation is defined and introduced. Next, the surface blending function is obtained by blending the interval-valued fuzzy control net with the Bernstein blending function. Lastly, the data points or interval-valued fuzzy control net relation of the basis function is illustrated using the approximation method with the interval-valued fuzzy concept and features to produce an interval-valued fuzzy Bézier surface. The application of Bézier surfaces can be extended to handle a wide range of complex modeling and offers a more precise and dependable tool for engineering, graphics, and data visualization applications. © 2024 IEEE.

关键词： Fuzzy control

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I/O Circuit and Sub-5V ESD Protection for Advanced Bonding Interfaces

I/O Circuit and Sub-5V ESD Protection for Advanced Bonding I...

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2025 IEEE International Reliability Physics Symposium, IRPS 2025

作者： Krilcic, M. Baric, A. Lin, S.-H. Markovic, T. Pantano, N. Simicic, M. University of Zagreb Faculty of Electrical Engineering and Computing Unska 3 Zagreb Croatia Imec Kapeldreef 75 Leuven3001 Belgium Vrije Universiteit Brussel Dept. of Electronics and Informatics Brussel Belgium Leuven Belgium

ISBN: (纸本)9798331504779

This study investigates the impact of electrostatic discharge (ESD) protection on the performance of I/O circuits in 2.5D-chiplet and 3D integrated architectures, focusing on 12-nm FinFET devices. Using 1-ns-pulse ESD stress measurements and S-parameter analysis, it assesses trade-offs between ESD protection effectiveness and the corresponding capacitance and layout area penalties. The findings highlight the challenges of optimizing chiplet interconnects while meeting evolving protection standards. However, as ESD protection capacitance exceeds interconnect capacitance, it introduces severe RC delay penalties, making further reductions in protection levels essential for maintaining system efficiency and integration feasibility. © 2025 IEEE.

关键词： Three dimensional integrated circuits

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Multivariate Bitcoin price prediction based on LSTM tuned by hybrid reptile search algorithm 16

Multivariate Bitcoin price prediction based on LSTM tuned by...

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16th International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2023

作者： Todorovic, Mihailo Petrovic, Aleksandar Toskovic, Ana Zivkovic, Miodrag Jovanovic, Luka Bacanin, Nebojsa Singidunum University Faculty of Business Belgrade11000 Serbia Singidunum University Faculty of Informatics and Computing Belgrade11000 Serbia University of Pristina Teacher Education Faculty Kosovska Mitrovica38220 Serbia Singidunum University Faculty of Technical Sciences Belgrade11000 Serbia

ISBN: (纸本)9798350347029

This study focuses on analyzing historical data to forecast future trends in Bitcoin prices due to its influence on the business landscape. Its high volatility attracted attention to understanding the influencing factors for its price. This paper presents an empirical investigation using time-series data of various exogenous and endogenous variables. Closing prices of Bitcoin and Ethereum, along with the daily volume of Bitcoin-related tweets are examined for Bitcoin closing price prediction by a long-short term memory (LSTM) network, fine-Tuned by a hybrid adaptive reptile search algorithm. The analysis covers a three-year period, in which data is divided into training, validation, and testing sets. Comparative analysis against LSTM networks tuned by other high-performing metaheuristic algorithms demonstrates that the novel approach outperforms competitors in terms of standard regression metrics. © 2023 IEEE.

关键词： Long short-term memory

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JumPark Bah!©: Utilizing Smart City Infrastructure in Parking Management System for Kota Kinabalu Smart City 5

JumPark Bah!©: Utilizing Smart City Infrastructure in Parki...

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5th International Conference on Robotic Automation System 2021, ICORAS 2021

作者： Khamis, Norazlina Rosli, Sarah Nafisa Tahir, Asni Faculty of Computing and Informatics Universiti Malaysia Sabah Jalan UMS Sabah. Kota Kinabalu88400 Malaysia

Kota Kinabalu (KK) is one of the pilot cities to implement smart city infrastructure in Malaysia. Given this privilege, lots of apps are needed to enable the city folks taking advantage of the highspeed bandwidth infrastructure. One of it is moving towards smart environment and smart government through supporting the green environment and cashless payment system for parking purposes. This paper describes the effort on the development of an apps, JumPark Bah! as an alternative to the current coupon-based parking system handled by the local authorities, Kota Kinabalu City Hall (KKCH). The current approach is quite cumbersome for KK city folks as they need to have a valid parking coupon displayed on the dashboard to park their car around KK city area. They must be able to correctly estimate the parking time or else summon will be issued if the parking time is exceeded. As for the KKCH, they need to assign many parking attendants for checking and validating the parking session. Thus, JumPark Bah! has been proposed as an alternative solution for KKCH by utilizing the concept of cashless payment parking system and is able to minimize the above-mentioned issues. The apps consist of a mobile application (for citizen and parking attendant) and the web-based system (for admin, i.e., KKCH). The web-based system allows the authority to monitor the fees, generate a report and even updates the user through announcement and news functionality. Based on the user evaluation using System Usability Scale (SUS), it has been found that JumPark Bah! has achieved 71.06% score which exceed the 68% score for good usability target. © Published under licence by IOP Publishing Ltd.

关键词： Smart city

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Power and area efficient hardware architecture of lightweight cryptography for IoT and embedded systems

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International Journal of Information Technology (Singapore) 2025年 1-11页

作者： Kumar, Keshav Shukla, Man Mohan Pandey, Bishwajeet Bakar, W.A.W.A. Pranveer Singh Institute of Technology Kanpur India GL Bajaj College of Technology and Management Greater Noida India Gyancity Research Consultancy Greater Noida India Faculty of Informatics and Computing Universiti Sultan Zainul Abidin (UniSZA) Kuala Terengganu Malaysia

This study concentrates on the hardware implementation of the lightweight symmetric cyphers SIMON and PRESENT, specifically on the Spartan-7 Field Programmable Gate Array (FPGA), designed for resource-limited setups such as the Internet of Things (IoT). Comprehensive studies of area utilisation and power efficiency were conducted on these cyphers. These concepts demonstrate significant advancements in compactness and power efficiency. Consequently, these techniques are suitable for safe and efficient cryptographic operations in IoT applications. © Bharati Vidyapeeth's Institute of Computer Applications and Management 2025.

关键词： FPGA Internet of Things (IoT) PRESENT SIMON Spartan-7

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Modified Metaheuristics Optimization for Cyberbullying Detection on Online Data Science Platform 26

Modified Metaheuristics Optimization for Cyberbullying Detec...

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26th International Symposium on Symbolic and Numeric Algorithms for Scientific computing, SYNASC 2024

作者： Bacanin, Nebojsa Jovanovic, Luka Bujisic, Ilja Uzelac Stoean, Catalin Kaljevic, Jelena Cadjenovic, Jelena Antonijevic, Milos Zivkovic, Miodrag Singidunum University Faculty of Informatics and Computing Belgrade Serbia Singidunum University Faculty of Technical Sciences Belgrade Serbia University of Craiova Department of Computer Science Craiova Romania Singidunum University Faculty for Health and Business Studies Belgrade Serbia Singidunum University Department of Business Economics Belgrade Serbia

ISBN: (纸本)9798331532833

Online harassment detection faces significant challenges due to its expansive reach and anonymity. Addressing this issue demands effective detection mechanisms capable of processing vast data streams and adapting to evolving online languages. Leveraging advancements in artificial intelligence, we propose a novel approach grounded in natural language processing (NLP) and metaheuristic algorithms. Our methodology integrates term frequency-inverse document frequency (TF-IDF) encoding and the AdaBoost algorithm for classification. To tackle the NP-hard problem of hyperparameter selection, we introduce a modified crayfish optimization algorithm (COA), termed GI-COA. This paper represents a pioneering effort in utilizing metaheuristic algorithms for hyperparameter selection in harassment detection models. Through experimentation, we demonstrate the efficacy of our approach in fostering a safer online environment. The best-performing optimized models demonstrate an accuracy exceeding 77%. © 2024 IEEE.

关键词： Data streams

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Comparison of YOLO architectures for face mask detection in images 16

Comparison of YOLO architectures for face mask detection in ...

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16th International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2023

作者： Jovanovic, Luka Bacanin, Nebojsa Zivkovic, Miodrag Mani, Joseph Strumberger, Ivana Antonijevic, Milos Singidunum University Faculty of Technical Sciences Belgrade11000 Serbia Singidunum University Faculty of Informatics and Computing Belgrade11000 Serbia Modern College of Business and Science Mathematics and Computer Science Muscat133 Oman

ISBN: (纸本)9798350347029

Traditionally, image recognition has been tackled as a classification problem. You only look once (YOLO) real-Time object detection models take a different approach, treating recognition as a regression problem. Models utilize very efficient neural networks, making YOLO models suitable for real-Time observation. Recent events have brought to light the importance of medical face masks in preventing the spread of highly contagious pathogens, as well as the extent the individuals are willing to go to avoid wearing them. A robust model for detecting medical masks, capable of running in real-Time could help improve the toolset available for preventing the spread of pathogens and reduce the impact contagious diseases could have in the future. This work compares the performance of several lightweight YOLOv8 models suitable for real-Time application for mask detection. The advantages and shortcomings of various model architectures are assessed and their potential for use is explored. © 2023 IEEE.

关键词： Image classification

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Challenges of Application Programming Interfaces Security: A Conceptual Model in the Changing Cyber Defense Environment and Zero Trust Architecture 17

Challenges of Application Programming Interfaces Security: A...

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17th IEEE International Scientific Conference on informatics, informatics 2024

作者： Steingartner, William Galinec, Darko Zebic, Vinko Technical University of Košice Faculty of Electrical Engineering and Informatics Košice Slovakia Zagreb University of Applied Sciences Department of Informatics and Computing Zagreb Croatia Croatian Armed Forces Ministry of Defence Croatian Military Academy "Dr. Franjo Tuđman" Zagreb Croatia

ISBN: (纸本)9798350387674

Application programming interfaces (APIs) for connecting applications are the most important for interoperability between disparate information systems today. It allows that the application that offers such an interface does not allow direct access to the server and all data, but each interface provides only the corresponding necessary data. The efficiency and speed of APIs enable information systems to retrieve formatted data that can be sequentially processed and used. In this paper API security will be discussed as a challenge today. The integration of today's applications takes place in the conditions of a changing environment of information systems and growing threats of cyber defense and security. The new approach to security was created, which is reflected through the principles of Zero Trust Architecture (ZTA). To enable a comprehensive overview of API security challenges, in this work, the authors designed and presented a new extensive conceptual non-hierarchical model of API cyber defense. In addition to known cybersecurity threats, it takes into account the threats inherent in non-compliance with the principles of ZTA which is also known as Zero Trust Security Model, or Zero Trust Network Access (ZTNA). The designed model covers, amongst others, the intersection between the strategy of secure API construction and Zero Trust Architecture. © 2024 IEEE.

关键词： Cyber attacks

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