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3rd International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2023

作者： Sharma, Hari Prapan Krishna, Somanchi Hari Prakash, R Vijay Tiwari, Mohit Tiwari, Tripti Kumar, Madarapu Naresh GLA University Institute of Business Management Uttar Pradesh Mathura India Vignana Bharathi Institute of Technology Department of Business Management Aushapur Village Ghatkrsae Mandal Malkajgiri Medchal Dist501301 India SR University School of Computer Science and Artificial Intelligence Telangana Warangal India Bharati Vidyapeeth's College of Engineering Department of Computer Science and Engineering A 4 Rothak Road Paschim Vihar Delhi India BVIMR Department of Management Studies A 4 Rothak Road Paschim Vihar Delhi India National Informatics Centre Ministry of Electronics and Information Technology Delhi India

ISBN: (纸本)9798350399264

There has been a meteoric rise in the use of online payment systems recently. Multiple e-payment systems exist, each designed to provide the highest degree of security while maintaining the greatest possible convenience for online shoppers. Cyber-attack techniques, on the other hand, are developing at the same rapid pace as security mechanisms. The authors of this paper examine the history of electronic payment systems, from the development of the corresponding language through the emergence of today's standard electronic payment systems. It also reveals a lack of security measures and approaches to fixing the problem. The current survey research makes a significant contribution by outlining the state of the electronic payment system framework and the possibilities it presents for the development of e-commerce in the future. The rates of suspicious purchases, which will serve as a yardstick in the creation of a trustworthy e-payment system, have been briefly discussed and analyzed. © 2023 IEEE.

关键词： Cybersecurity

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Design And Implementation Of A PID Control System On A UAV Tracker Antenna

Design And Implementation Of A PID Control System On A UAV T...

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International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)

作者： Akhmad Jayadi Faisal Dharma Adhinata Jaka Persada Sembiring Canggih Gelar Setyo Adhi Wendel Herman Selsily Ahmad Amiruddin Faculty of Engineering and Computer Science Universitas Teknokrat Indonesian Lampung Indonesia Faculty of Informatics Institut Teknologi Telkom Purwokerto Jawa Tengah Indonesia Faculty of Computer Science Universitas Bina Nusantara Semarang Indonesia Faculty of Computer Science Universitas Kristen Indonesia Maluku Maluku Indonesia

Antennas are essential components in communication systems, serving as both transmitters and receivers. Their efficient operation depends on precise alignment with the strongest signal source, facilitated by tracker antennas. A recent research study focused on enhancing the responsiveness of these tracker antennas. By manually inputting PID (Proportional-Integral-Derivative) values for direction control, the study achieved notable *** results demonstrated that by fine-tuning PID values, particularly setting Kp=5, Ki=0.21812, and Kd=12, and targeting an angle of 90°, the response time was reduced to 1.2 seconds with an overshoot of 28.8% and 1.6 seconds of oscillation. This optimized control mechanism significantly improved antenna direction accuracy, aligning it with the desired setpoint. Furthermore, the importance of antenna alignment and polarization matching in communication systems was emphasized. Ensuring alignment between the receiving antenna's polarization and the incoming wave polarization is crucial for maintaining a strong signal reception power level. This alignment enables accurate tracking of antenna positions, supporting real-time GPS data communication. Additionally, the study involving horizontal azimuth angle measurements with tracker antennas demonstrated their capability to transmit real-time data from multiple positions, achieving 360° horizontal azimuth angles, along with varying elevations. These precise measurements play a vital role in object monitoring and effective communication.

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Performance Analysis of ISAC With Active Multi-functional RISs in Rician Fading Channels

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IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Parihar, Abhinav Singh Singh, Keshav Alexandropoulos, George C. Ding, Zhiguo Li, Chih-Peng National Sun Yat-sen University Institute of Communications Engineering Kaohsiung80424 Taiwan National and Kapodistrian University of Athens Department of Informatics and Telecommunications Panepistimiopolis Ilissia Athens15784 Greece University of Illinois Chicago Department of Electrical and Computer Engineering IL60601 United States The University of Manchester School of Electrical and Electronic Engineering ManchesterM13 9PL United Kingdom

In this work, we study the performance of an integrated sensing and communications (ISAC) system utilizing both a simultaneous transmitting and receiving (STAR) reconfigurable intelligent surface (RIS) and a solely reflective RIS under Rician fading channels. The base station is assumed to have multiple antennas, and with the assistance of active tunable reflections and refractions from the STAR-RIS, performs non-orthogonal multiple access (NOMA) data communications to multiple users, while the conventional RIS contributes to the detection of targets lying in its vicinity via its amplified reflections. We present novel analytical expressions for performance metrics of the considered system, including the outage probability, ergodic rate, system throughput, and sensing rate, as well as conduct an asymptotic analysis to emphasize the balance between sensing and communication capabilities. Our numerical analytical results demonstrate that the considered active RISs can simultaneously enhance both signal strength and sensing performance, which is particularly pronounced in low to medium signal-to-noise ratio conditions, outperforming passive RIS configurations. We have also performed comparisons between the considered NOMA scheme and an orthogonal one, unveiling the superiority of the former in terms of the above-mentioned performance metrics. The effects of system parameters, such as the transmission power, Rician factor, and channel estimation errors, on the overall network performance were investigated through extensive Monte Carlo simulations, validating our analytical findings. © 2015 IEEE.

关键词： Channel estimation

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DOA Estimation with Sparse Bayesian Learning Using Hierarchical Half-Cauchy Prior with Spectra Refinement Strategy

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IEEE Transactions on Aerospace and Electronic Systems 2025年

作者： Chen, Zhendong Lu, Xicheng Huang, Yongfeng Li, Dingzhao Liu, Wei Hong, Shaohua Sun, Haixin Xiamen University School of Informatics Xiamen Fujian361005 China Ministry of Education Key Laboratory of Underwater Acoustic Communication and Marine Information Technology Xiamen361005 China Queen Mary University of London School of Electronic Engineering and Computer Science London United Kingdom The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Hong Kong

Advancements in sparse signal recovery (SSR) theory have significantly enhanced direction-of-arrival (DOA) estimation performance, a critical aspect of array signal processing with a wide range of applications. This paper transforms the conventional complex-valued sparse representation for array-received signals into a real-valued problem for covariance coefficients by leveraging the real-valued nature of source powers. A two-stage hierarchical sparsity-induced prior based on the half-Cauchy framework is proposed, which is approximated using an inverse-Gamma structural prior. Building on this prior, an iterative variational Bayesian inference solution is developed that admits a closed-form expression. Additionally, a thresholding-block-matrix iteration method and a mixing prior updating strategy to exploit spatial domain sparsity are proposed. Simulation results demonstrate that our approach minimizes Gaussian noise impact on spatial spectral partitioning and exhibits robustness at high grid resolutions and signal-to-noise ratios (SNRs) compared to state-of-the-art DOA estimation algorithms. Experiments on the SWellEx-96 dataset further validate the effectiveness of our method in practical environments. © 2025 IEEE.

关键词： Gaussian noise (electronic)

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Evaluating RNN Models for Multi-Step Traffic Matrix Prediction

Evaluating RNN Models for Multi-Step Traffic Matrix Predicti...

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Information Technology and Data Science (CITDS), IEEE Conference on

作者： Mohammed Nsaif Gergely Kovásznai Hasanein D. Rjeib Ali Malik Ruairí de Fréin Faculty of informatics University of Debrecen Hungary Faculty of Computer Science and Mathematics University of Kufa Iraq Department of Business Management Al-imam University College Balad Iraq Faculty of informatics Eszterházy Károly Catholic University Hungary Faculty of Engineering University of Kufa Iraq Institute of Information Technology University of Miskolc Hungary School of Electrical and Electronic Engineering Technological University Dublin Ireland

ISBN: (数字)9798350387889

ISBN: (纸本)9798350387896

Network traffic matrix prediction is used to estimate the patterns of future network flows before they are initiated. Traffic matrix prediction is needed by a wide range of network management functions such as network monitoring and it relies on historical data. In this paper, we address the task of multi-time step traffic matrix prediction using Recurrent Neural Networks (RNN). Our objective is to conduct a comparative study of different types of RNNs and to evaluate their ability to predict multi-time step Origin-Destination traffic matrices. Experiments show that RNNs are capable of predicting multiple steps of traffic matrices, however, the RMSE of the predictions increases as we move further away from the last true value. Our primary finding is that the RNN-GRU show has the best prediction ability in the very beginning steps with an RMSE of 0.048, while RNN-LSTM demonstrated higher capability with the last steps, having an RMSE value of 0.058.

关键词： Recurrent neural networks Power demand Telecommunication traffic Predictive models Data science Data models computer networks Numerical models Information technology Monitoring

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Smart Infusion and Web Based Monitoring Infusion Fluids in Isolation Room Based on Fuzzy Logic 4

Smart Infusion and Web Based Monitoring Infusion Fluids in I...

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4th International Conference on Electrical, Electronics, informatics, and Vocational Education, ICE-ELINVO 2021

作者： Yamin, M. Habir, S.A. Nur Alam, W.O.S. Surimi, L. Department of Informatics Engineering Faculty of Engineering Halu Oleo University Kendari Indonesia Department of Electrical Engineering Faculty of Engineering Halu Oleo University Kendari Indonesia Department of Computer Science Faculty of Mathematics and Natural Sciences Halu Oleo University Kendari Indonesia

High-tech improvements with reference for health advance to develop numerous medical tools have been build to support doctors and nurses performances. This analysis research applied web-based system of infusion monitoring and microprosessor or microcontroller to grease performances of nursers and pharmaceutical helping in clinics or public health centers of the district. In this research, smart infusion web-based is builded for providing for the infusions by applying Node MCU and ESP 8266 Wi-Fi module. Smart Infusion aimed at helping nursers and medical helpers handling infusions of contagious complaint cases or Covid-19 cases to provide for infusion situation in isolation room or emergency room at hospital also public health centers at the district. Detecting the infusion weight, volume and percentage by applying a digital scale and the Load Cell sensors. This monitoring tools or devices is created to count the display from LCD and infusion weight the volumes and percentage of infusion with 3 colors alert display on the Website such as red color, yellow color, and green color depend on a web developed by php language, C programming with Arduino by C language embedded in microprocessor or microcontroller and based on fuzzy logic. Testing results have been achieved, monitoring device can work efficiently and completely when calculating weight, percentage, and volume. Scanning data of success accuracy of Load Cell sensors is 98,00%. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Fuzzy logic

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A Spark-Based Open Source Framework for Large-Scale Parallel Processing of Rich Text Documents 8

A Spark-Based Open Source Framework for Large-Scale Parallel...

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8th International Conference on Future Internet of Things and Cloud, FiCloud 2021

作者： Chen, Qiang Chen, Yinong Wu, Sheng Zhang, Zili College of Computer and Information Science Southwest University Chongqing China School of Computing Informatics and Decision Systems Engineering Arizona State University TempeAZ United States

ISBN: (纸本)9781665425742

The large amount of unstructured educational data is an important data source of educational big data analysis. However, there is a lack of efficient and simple distributed solutions to process these unstructured documents. To address this problem, this study proposes a Spark-based parallel processing framework of large-scale rich text documents (mainly as MS Word documents), which can seamlessly to extend the serial open-source algorithm to distributed computing algorithm to accomplish parallel processing of large-scale rich text documents. We focus on how to achieve non-intrusive deployment of clusters and how Python codes access to HDFS files. The experimental results show that by using 8 physical nodes (with 128 cores all together), the speedup reaches 48 times compared to the standalone Python-docx in the experiments of extracting 232 GB docx files. The experiments also analyze the Spark parameters and explore how to optimize the parameter settings. © 2021 IEEE.

关键词： Big data

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Nonvolatile and SEU-Recoverable Latch Based on FeFET and CMOS for Energy-Harvesting Devices

Nonvolatile and SEU-Recoverable Latch Based on FeFET and CMO...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Aibin Yan Zhuoyuan Lin Guangzhu Liu Qingyang Zhang Zhengfeng Huang Jie Cui Xiaoqing Wen Patrick Girard School of Computer Science and Technology Anhui University Hefei China School of Microelectronics Hefei University of Technology Hefei China Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan Laboratory of Informatics Robotics and Microelectronics of Montpellier University of Montpellier / CNRS Montpellier France

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

Nonvolatile memories are widely used in emerging energy-harvesting Internet-of-Things (IoT) applications, and nonvolatile memories constructed from FeFET devices hold great promise. This paper presents a nonvolatile and single-event-upset (SEU)-recoverable latch based on FeFET and CMOS for energyharvesting devices. The latch uses n-type FeFET devices to provide nonvolatility without any additional control signals. Moreover, since the soft error problem has become increasingly severe, radiation hardening by design gains a great attention as a promising approach to mitigate the reliability issue. The latch uses feedback interlocked loops with n-type FeFETs and C-elements, enabling it to provide nonvolatility and SEU-recovery simultaneously. Simulation results with Candence Virtuoso verifies that the proposed latch design has correct functioning with excellent performance compared to the state-of-the-art designs.

关键词： Performance evaluation Latches Nonvolatile memory Radiation hardening (electronics) Circuits and systems Simulation Reliability engineering

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POVNav: A Pareto-Optimal Mapless Visual Navigator

arXiv

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arXiv 2023年

作者： Pushp, Durgakant Chen, Zheng Luo, Chaomin Gregory, Jason M. Liu, Lantao Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States The Department of Electrical and Computer Engineering Mississippi State University MS39762 United States DEVCOM Army Research Laboratory United States

Mapless navigation has emerged as a promising approach for enablingautonomous robots to navigate in environments where pre-existing maps may beinaccurate, outdated, or unavailable. In this work, we propose an image-basedlocal representation of the environment immediately around a robot to parsenavigability. We further develop a local planning and control framework, aPareto-optimal mapless visual navigator (POVNav), to use this representationand enable autonomous navigation in various challenging and real-worldenvironments. In POVNav, we choose a Pareto-optimal sub-goal in the image byevaluating all the navigable pixels, finding a safe visual path, and generatingactions to follow the path using visual servo control. In addition to providingcollision-free motion, our approach enables selective navigation behavior, suchas restricting navigation to select terrain types, by only changing thenavigability definition in the local representation. The ability of POVNav tonavigate a robot to the goal using only a monocular camera without relying on amap makes it computationally light and easy to implement on various roboticplatforms. Real-world experiments in diverse challenging environments, rangingfrom structured indoor environments to unstructured outdoor environments suchas forest trails and roads after a heavy snowfall, using various imagesegmentation techniques demonstrate the remarkable efficacy of our proposedframework. © 2023, CC BY-NC-SA.

关键词： Visual servoing

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P1AC: Revisiting Absolute Pose From a Single Affine Correspondence

P1AC: Revisiting Absolute Pose From a Single Affine Correspo...

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International Conference on computer Vision (ICCV)

作者： Jonathan Ventura Zuzana Kukelova Torsten Sattler Dániel Baráth Department of Computer Science & Software Engineering Cal Poly San Luis Obispo Visual Recognition Group Faculty of Electrical Engineering Czech Technical University in Prague Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Computer Vision and Geometry Group ETH Zürich

Affine correspondences have traditionally been used to improve feature matching over wide baselines. While recent work has successfully used affine correspondences to solve various relative camera pose estimation problems, less attention has been given to their use in absolute pose estimation. We introduce the first general solution to the problem of estimating the pose of a calibrated camera given a single observation of an oriented point and an affine correspondence. The advantage of our approach (P1AC) is that it requires only a single correspondence, in comparison to the traditional point-based approach (P3P), significantly reducing the combinatorics in robust estimation. P1AC provides a general solution that removes restrictive assumptions made in prior work and is applicable to large-scale image-based localization. We propose a minimal solution to the P1AC problem and evaluate our novel solver on synthetic data, showing its numerical stability and performance under various types of noise. On standard image-based localization benchmarks we show that P1AC achieves more accurate results than the widely used P3P algorithm. Code for our method is available at https://***/jonathanventura/P1AC/.

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