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6th International Conference on Inventive Computation Technologies, ICICT 2023

作者： Sangeetha, T. Shankar, M. Sreelekha, K.V. Indhumathi, S. Sree Vidhya, S. Department of Information Technology Sri Krishna College of Technology Coimbatore India Department of Information Technology M.P.Nachimuthu M.Jaganathan Engineering College Erode India Department of Computer Science and Engg Hindusthan College of Engineering and Technology Coimbatore India Department of Computer Science and Engg Nandha College of Technology Erode India Department of Computer Science and Engg Erode Sengunthar Engineering College Erode India

ISBN: (纸本)9798350398496

Lung cancer is a type of cancer that starts in the cells of the lungs, and it is one of the leading causes of cancer-related deaths worldwide. It is often caused by smoking, exposure to radon gas, and exposure to certain toxins and pollutants in the environment. Risk factors for lung cancer include smoking tobacco, exposure to the smoke exhaled by smokers, lung cancer in individual with a family history of the disease, and people have damaged lung, such as COPD. Diagnosis of lung cancer typically involves a combination of imaging tests, such as CT scans and X-rays, and biopsy. detection of lung cancer allows for more options in terms of treatment and a better chance of curing the cancer. In general, studies on this topic aim to use advanced deep learning techniques have the potential to improve the accuracy and efficiency of lung cancer detection and diagnosis, which can ultimately lead to better patient outcomes. These techniques involves both CNNs and DBNs have shown great promise in the analysis of medical imaging data for the detection and diagnosis of lung cancer, as they are able to automatically identify and classify patterns in the images that are indicative of lung cancer. These techniques have the potential to improve the accuracy and efficiency of lung cancer diagnosis. The recent techniques are GPT-3, Generative adversarial network, Deep reinforcement learning. Here, CNN algorithm is used to detect lung cancer earlier, they are able to automatically identify and classify patterns in medical images that are indicative of lung cancer. CNN that are particularly well-suited for image analysis because they can learn to recognize features in images and gives accuracy that are important for classification and detection. © 2023 IEEE.

关键词： Smoke

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Blockchain-based knowledge-aware semantic communications for remote driving image transmission

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Digital Communications and Networks 2025年第2期11卷 317-325页

作者： Yangfei Lin Tutomu Murase Yusheng Ji Wugedele Bao Lei Zhong Jie Li Department of Computer and Network Engineering University of Electro-CommunicationsChofuTokyo 182-8585Japan Information Technology Center Nagoya UniversityNagoya 464-8601Japan National Institute of Informatics(NII) Tokyo 101-8430Japan Hohhot Minzu College Hohhot 010051China Toyota Motor Corporation Tokyo 112-8701Japan Department of Computer Science and Engineering Shanghai Jiaotong UniversityShanghai 200240China

Remote driving,an emergent technology enabling remote operations of vehicles,presents a significant challenge in transmitting large volumes of image data to a central *** requirement outpaces the capacity of traditional communication *** tackle this,we propose a novel framework using semantic communications,through a region of interest semantic segmentation method,to reduce the communication costs by transmitting meaningful semantic information rather than bit-wise *** solve the knowledge base inconsistencies inherent in semantic communications,we introduce a blockchain-based edge-assisted system for managing diverse and geographically varied semantic segmentation knowledge *** system not only ensures the security of data through the tamper-resistant nature of blockchain but also leverages edge computing for efficient ***,the implementation of blockchain sharding handles differentiated knowledge bases for various tasks,thus boosting overall blockchain *** results show a great reduction in latency by sharding and an increase in model accuracy,confirming our framework's effectiveness.

关键词： Semantic communication Remote driving Semantic segmentation Blockchain Knowledge base management

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A Universal Hybrid Precoding Scheme for Massive MIMO Communications

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China Communications 2022年第11期19卷 160-178页

作者： Yimeng Feng Yi Jiang Mahesh K.Varanasi Key Laboratory for Information Science of Electromagnetic Waves(MoE) School of Information Science and TechnologyFudan UniversityShanghai 200433China the Department of Electrical Computer and Energy EngineeringUniversity of ColoradoBoulderColorado 80309-0425

Based on an analog radio frequency(RF)network,hybrid precoding(HPC)for massive MIMO can achieve very high spectral efficiencies with moderate hardware cost and power *** the extensive research efforts in recent years,the practioners are still looking for HPCs that are efficient and *** this paper,we present a new method termed as the universal hybrid precoding(UHP),which is nearly optimal,computationally efficient,and applicable to various types of RF network(thus,the name universal):the components of the network can be phase shifters(with finite or infinite resolutions),switches,or their combinations;the topology of the network can be fully-connected or *** the standard UHP,we also propose a simplified version termed as sUHP to trade a negligible performance loss for much reduced computational *** analysis shows that the computational complexity of the proposed UHP/sUHP is one to two orders of magnitude lower than the state-of-theart *** results verify the(near-)optimality of the proposed UHP scheme for various forms of the analog networks.

关键词： hybrid beamforming massive MIMO phase-shifter network switch network

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AcquainLay: An Efficient Blockchain Block Relay Method Based on Acquaintance Immunization

AcquainLay: An Efficient Blockchain Block Relay Method Based...

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2023 IEEE International Conference on Unmanned Systems, ICUS 2023

作者： Wang, Hui Yang, Zhenyu Li, Ming Hu, Yanlan Hu, Donghui School of Computer Science and Information Engineering Hefei University of Technology Hefei China School of Physics Hefei University of Technology Hefei China

ISBN: (纸本)9798350316308

The propagation of information in blockchain plays a key role in its scalability improvement, and it is difficult to maintain the original decentralized characteristics and security in the existing methods of accelerating block propagation. In this paper, we combine blockchain and complex network epidemic immunization strategies and then propose an approach (Acquain-Lay) based on acquaintance immunization to find suitable nodes to disseminate information without the need for global topolog-ical information. The evaluation results show that AcquainLay improves transaction throughput by 43.53 % at best and reduces the orphan block rate significantly. In addition, AcquainLay is easy to deploy because it does not change the key data structures and network topology of the blockchain. © 2023 IEEE.

关键词： Complex networks

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Dual-Band Printed Antenna Design for Bluetooth and WLAN Applications 7

Dual-Band Printed Antenna Design for Bluetooth and WLAN Appl...

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7th IEEE International Conference on Electronic information and Communication technology, ICEICT 2024

作者： Khan, Naveed Hamid Nawaz Feng, Botao Ding, Xiao Gu, Wenzhe Deng, Li Chung, Kwok L. Shenzhen University College of Electronics and Information Engineering Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts Macau999078 China Huizhou University School of Computer Science and Engineering Huizhou China Beijing University of Posts and Telecommunications College of Information and Communication Engineering Beijing China Huizhou University School of Computer Science and Engineering Huizhou516007 China

ISBN: (纸本)9798350384437

This study presents the fabrication process of a printed antenna on a FR-4 substrate with accurate measurements of 25×37×1 mm3. The antenna design, known for its simplicity, has four semicircles with four small square patches at each end. In addition, it includes two rectangular patches that are fitted with pin diode switches in order to enable the ability to operate in two different frequency bands. The antenna's ground has a carefully placed opening. The antenna being examined demonstrates resonance at both the frequencies of 2.4 GHz and 5 GHz, with reflection coefficients of -19.6 dB and -16.5 dB correspondingly. The VSWR for both working frequencies is below 2, satisfying the requirements of Bluetooth and WLAN applications. The tiny size and creative design elements of this antenna allow for versatility and adaptation in many wireless communication systems. © 2024 IEEE.

关键词： Microwave antennas

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Comparative Analysis of Ensemble Learning Techniques for Brain Tumor Classification

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Informatica (Slovenia) 2024年第20期48卷 41-50页

作者： Sharif, Rehman Azam, Muhammad Ali, Arshad Hashmi, Muhammad Usman Uzair, Muhammad Department of Mathematics & Physics The Superior University Lahore54000 Pakistan Department of Computer Science & Information Technology The Superior University Lahore54000 Pakistan Faculty of Computer and Information Systems Islamic University of Madinah Al Madinah Al Munawarah Saudi Arabia Faculty of Engineering Islamic University of Madinah Al Madinah Al Munawarah Saudi Arabia

For the evaluation of our work, we used a brain tumor MRI dataset obtained from Kaggle for the experimental analysis. Our study investigates the performance of ensemble learning techniques for brain tumor classification. This study focuses on comparing the efficacy of homogenous ensemble classifiers, exemplified by the Random Forest (RF) algorithm, against heterogeneous ensemble classifiers like Voting and Stacking, this study embarks on a thorough evaluation journey. Our evaluation is not limited to accuracy measures only;instead, it surrounds recall, ROC AUC, precision, and F1-score, for better assessment of classifiers’ performance. Our findings demonstrate that the Random Forest classifier achieved an accuracy of 99%, an F1 score of 0.99%, and AUC of 0.99%, outperforming other ensemble techniques like Voting and Stacking classifiers. Building upon an observed assessment performed on an appropriately selected brain tumor dataset, we provide solid empirical support demonstrating that RF not only performs better than base classifiers but also outperforms the heterogeneous ensemble methods in terms of many different performance measures. Furthermore, we discuss the specific reason that makes RF outperform other algorithms in this dataset and discuss the robustness and flexibility of this method. By unscrambling these insights, this paper addresses to fill gaps in the existing knowledge regarding the ensemble learning techniques in medical imaging, particularly for brain tumor classification diagnostics. © 2024 Slovene Society Informatika. All rights reserved.

关键词： Random forests

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A Low Cost Triple-Node-Upset Self-Recoverable Latch Design for Nanoscale CMOS

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IEEE Transactions on Device and Materials Reliability 2025年第2期25卷 296-307页

作者： Bai, Na Zhang, Pengshuai Xu, Yaohua Guo, Yunhui Li, Hang Wang, Yi Wen, Xiaoqing Anhui University Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Hefei230601 China National University of Defense Technology College of Computers Hunan Changsha410073 China Kyushu Institute of Technology Graduate School of Computer Science and Systems Engineering Fukuoka8208502 Japan

Due to the constant reduction of semiconductor feature sizes, the charge sharing effect is getting worse. The occurrence probability of triple-node upset (TNU), which has a significant impact on the circuit’s reliability, is rising in nanoscale digital circuits. This paper proposes a low overhead and TNU self-recovery latch (TNU-SR) based on the 28 nm CMOS technology to efficiently tolerate TNU and reduce the power dissipation and latency of the latch. The latch design proposed in this article adopts stacked transistors to reduce sensitive nodes and area overhead. The TNU-SR latch uses clock gating and high-speed transfer path technology, resulting in low power dissipation and low delay. For simulation results, compared with existing latches, it can be known that the TNU-SR latch performs well in terms of delay, power consumption, and area, so it is a good choice for radiation-hardened design for space applications. In addition, compared with the latest TNU self-recovery latch (HLTNURL), the TNU-SR latch proposed in this paper reduces the Power-Area-Delay Product (PADP) metric by 111.13%. © 2001-2011 IEEE.

关键词： CMOS integrated circuits

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A Review of Fintech Management and Security Development 10

A Review of Fintech Management and Security Development

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10th IEEE information technology International Seminar, ITIS 2024

作者： Ritonga, Ali Akbar Zuhri Harahap, Syaiful Sooai, Adri Gabriel Nugroho, Aryo Samsir Prasetyo Adi, Puput Dani Universitas Labuhanbatu Faculty of Science and Technology Department of Informatics Management North Sumatera Labuhanbatu Indonesia Universitas Labuhanbatu Faculty of Science and Technology Department of Information System North Sumatera Labuhanbatu Indonesia Universitas Katolik Widya Mandira Faculty of Computer Science Department of Computer Engineering NTT Kupang Indonesia Universitas Narotama Faculty of Computer Science Department of Information System Surabaya Indonesia Universitas Labuhanbatu Faculty of Computer Science Department of Informatics Engineering North Sumatera Labuhanbatu Indonesia Department of Telecommunication Bandung Indonesia

ISBN: (纸本)9798331521295

This research focuses on the review of Fintech and its development on the IoT Platform and also the risks that can be posed to the IoT network used. Finance is the most essential side of several other sectors which in this case often experience many losses, one of the biggest losses is the existence of hackers and theft of money through the Internet platform or Internet Server. This research reviews how the ins and outs of the flow of funds located on servers or online banks. And ways to overcome hackers and bypass data. Comprehensively reviewed in this research review. This research discusses Cryptocurrency Analysis, Bitcoin, and Ethereum Comparison which are some of the methods used in online-based Finance, which is without currency but has the same value even more than currency if the conversion process is carried out at the bank. In this research, it is comprehensively discussed how methods are carried out in the process of securing data, Cryptocurrency, Bitcoin, and Ethereum are comprehensively discussed to get a lot of data and comparisons and the right steps to deal with crime via the internet. The predicted use of IoT in the Fintech sector is 140 billion connected devices, IoT Loans 110 billion connected devices, and IoT insurance with an estimated 90 billion connected devices, in the approaching 2026. © 2024 IEEE.

关键词： Ethereum

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Joint Optimization of PAoI and Queue Backlog with Energy Constraints in LoRa Gateway Systems 19th

Joint Optimization of PAoI and Queue Backlog with Energy ...

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19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023

作者： Shi, Lei Ji, Rui Wei, Zhen Feng, Shilong Li, Zhehao School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei230009 China

ISBN: (纸本)9783031545306

Peak Age of information(PAoI), as a performance indicator representing the freshness of information, has attracted the attention of researchers in recent years. The data packet transmission rate in the LoRa network determines the information freshness level for system packets. In order to study the optimal scheduling of data packets, we try to use the PAoI to describe the real-time level of the end devices(EDs) and reduce it. We use edge servers to process monitoring data packets at the edge of the network to improve the efficiency of EDs and the information freshness level of data. Since packet transmission will be constrained by EDs battery queue energy and gateway queue backlog, we propose an optimization problem that aims to minimize the long-term average PAoI of EDs while ensuring network stability. With the Lyapunov optimization framework, the long-term stochastic optimization problem is transformed into a single-slot optimization problem. Furthermore, to avoid the problem of too large search space, we propose a dynamic strategy space reduction algorithm (SSDR) to shrink the strategy space. The simulation experiments show that our SSDR algorithm can optimize the PAoI index of EDs in various situations and satisfy the constraints of long-term optimization. © ICST Institute for computer sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Scheduling algorithms

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Insight into Janus V2COS as anode material of high-performance alkali metal ion battery: Diffusion barrier, recyclability, specific capacity, and open-circuit voltage

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Physical Review Materials 2024年第8期8卷 085801-085801页

作者： Fanfan Wang Jun Yuan Zhufeng Zhang Baoan Song Junhua Zhao Jincheng Yue Tian Xu Jun Zhou School of Physical Science and Technology Faculty of Electrical Engineering and Computer Science College of Chemical and Material Engineering School of Electronic Information Engineering

Transition metal carbides, nitrides, and carbonitrides, known as MXenes, exhibit exceptional conductivity, stability, and large specific surface area, rendering them promising candidates for anode materials in rechargeable batteries. Herein, we investigate the electrochemical characteristics of the Janus MXene V2COS monolayer, as an anode material of alkali metal ion batteries by using first-principles calculations. The phonon band structure and ab initio molecular dynamics simulations confirm the stability of the Janus V2COS monolayer. The mechanical and electrical properties of the Janus V2COS monolayer are explored and proved to have good mechanical stability and electrical conductivity. The surface of the Janus V2COS monolayer demonstrates the facile adsorption of alkali metal ions and low diffusion barriers. As an anode material, the recyclability of the Janus V2COS has been verified in the ion intercalation/deintercalation processes. Furthermore, the theoretical specific capacities and the open-circuit voltages of the Janus V2COS monolayer are calculated to be 165.54mAh/g and 2.62 V for Li, 662.18mAh/g and 0.76 V for Na, and 294.43mAh/g and 0.4 V for K, respectively. It presents that the Janus V2COS monolayer is a potential anode material of sodium-ion batteries and potassium-ion batteries.

关键词： Electrochemical properties 2-dimensional systems Density functional theory First-principles calculations

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