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1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021

作者： Yuvaraj, D. Nageswara Rao, M.V. Shanmuga priya, P. Naveneetha krishanan, S. Department of Computer Science Cihan University Kurdistan region Duhok Iraq Dept. of ECE GMR Institute of Technology RajamSrikakulam Andhra Pradesh India Department of Computer Science and Engineering M.I.E.T Engineering College Trichy India Department of Electronics and Communication Engineering SACS MAVMM Engineering College Madurai India

ISBN: (纸本)9781607685395

A small size printed patch antenna to cover applications of X and Ku band is suggested in this paper. The suggested antenna consists of an arrow shaped patch on front view of FR 4 substrate and a partial ground on the other side. Initial design started with a rectangular patch of dimensions 10.7 mm x 7 mm. Then it is modified into arrow shaped patch in order to improve the reflection coefficient at lower and higher *** measurement of the antenna is 12 x 15 x 1.6 mm3. The antenna parameters are optimized using FEM based HFSS software. The operating range of frequencies include from 6.75 GHz to 18.96 GHz. The proposed antenna displays a good omnidirectional radiation pattern and maximum gain of 7.41 dBi at 17 GHz. Simulated S11 parameters, VSWR, Gain and current distributions are offered in this paper and S11 simulated parameters are in good agreement with measured parameters. © The Electrochemical Society

关键词： Arrow shaped Ku band Printedmicrostrip antenna X band

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A Novel Peak-to-Average Power Ratio Reduction for 5G Advanced Waveforms

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computers, Materials & Continua 2022年第10期73卷 1637-1648页

作者： Rajneesh Pareek Karthikeyan Rajagopal Himanshu Sharma Nidhi Gour Arun Kumar Sami Althahabi Haya Mesfer Alshahrani Mohamed Mousa Manar Ahmed Hamza Department of Computer Science&Engineering JECRC UniversityJaipur303905India Centre for Nonlinear Systems Chennai Institute of TechnologyChennaiIndia Department of Electronics and Communication JECRC UniversityJaipur303905India Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityAbhaSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Electrical Engineering Department Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Multi and single carrier waveforms are utilized in cellular systems for high-speed data *** The Fifth Generation(5G)system,several waveform techniques based on multi carrier waveforms are ***,the Peak to Average Power Ratio(PAPR)is seen as one of the significant concerns in advanced waveforms as it degrades the efficiency of the *** proposed article documents the study,progress,and implementation of PAPR reduction algorithms for the 5G radio *** compare the PAPR algorithm performance for advanced and conventional *** simulation results reveal that the advanced Partial Transmission Sequence(PTS)and Selective Mapping(SLM)methods enhanced the throughput and gain of the 5G ***,we have also analyzed the performance of Orthogonal Time Frequency Space Modulation(OTFSM)based on a single carrier system and found that PAPR is significantly low and is best suited to fading *** is seen that the conventional algorithms lower the PAPR but increase the *** proposed PTS and SLM have shown good performance with low computational complexity.

关键词： PAPR 5G OFDM NOMA OTFSM PTS SLM

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Improved Coati Optimization Algorithm for Feature Selection Enabled Intrusion Detection in Internet of Things

Improved Coati Optimization Algorithm for Feature Selection ...

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Distributed Computing and Electrical Circuits and electronics (ICDCECE), IEEE International Conference on

作者： Laith H. Alzubaidi Rekha Cm Kavitha Mv Ravi Kiran Varma P V. Thirumurugan Department Computer's Techniques Engineering The Islamic University Najaf Iraq Department of Electrical and Electronics Engineering Acharya Institute of Technology Bengaluru India Department of Electronics and Communication Engineering Gopalan College of Engineering and Management Bengaluru India Department of Computer Science Engineering Sagi Rama Krishnam Raju Engineering College Bhimavaram India Vels Institute of Science Technology and Advanced Studies Chennai India

ISBN: (数字)9798331533663

ISBN: (纸本)9798331533670

Internet of Things (IoT) network combines physical substances like sensors, networks and electricals along software for gathering and exchanges information. Because of security actions lack, the network objects are susceptible for severe at-tacks. For addressing this, effective security algorithm to deal with threat and detect attacks is required. In this article, Improved Coati Optimization Algorithm (ICOA) is developed to feature selection in intrusion detection. Dataset utilized in article is UNSW-NB15 dataset and cleaning of data and normalization are utilized as pre-processing techniques. The ICOA algorithm is used as feature selection technique which selects relevant features effectively. Next, the selected features are given to Random Forest (RF) classifier to detect and classify the at-tacks. The integration of RF algorithm and ICOA enabled feature selection, resulted in much effective training process and offered the method that determines robust performance in NIDS. Evaluation of developed algorithm is assessed to metrics using accuracy, precision, recall. F1-score and detection rate. Developed algorithm acquired accuracy 99.55%, precision 94.62%, recall 93.91%, ft-score 94.78% and detection rate 99.83% that is effective than other existing methods like Neighborhood Search Based Particle Swarm Optimization (NSBPSO) technique.

关键词： Training Accuracy Software algorithms Intrusion detection Feature extraction Classification algorithms Security Internet of Things Optimization Classification tree analysis

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Frequency Domain Separation of DAS Multi-Source Aliased Signals

Frequency Domain Separation of DAS Multi-Source Aliased Sign...

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2023 Asia communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Gu, Huaxin Liu, Shuaiqi Yu, Feihong Xu, Deyu Chen, Xingwei Shao, Liyang Wu, Yu Zhang, Haifeng College of Innovation and Entrepreneurship Southern University of Science and Technology Shenzhen China Southern University of Science and Technology Department of Electrical and Electronic Engineering Shenzhen China School of Information and Communication Engineering University of Electronic Science and Technology Chengdu China Research Institute of Tsinghua University Advanced Measurement and Control and Equipment R&d Center Chengdu China

ISBN: (纸本)9798350312614

In this paper, fast independent vector analysis (FastIVA) based on convolutional aliasing model is proposed to separate the aliased signals collected by distributed acoustic sensing (DAS) system, and the time-frequency entropy is used to judge the separation performance. The results show that the time-frequency entropy interval of the separated signals and the source signals correspond to each other, which means that the aliased signals are separated. This method is used to improve the accuracy of DAS system signal detection and recognition in complex real environment, and reduce the number of false alarm events. © 2023 IEEE.

关键词： convolutional aliasing model DAS FastIVA time-frequency entropy

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Predictive Modeling of Compressive Strength in Coconut Shell-Embedded Concrete Using Ensemble Regression Models

Predictive Modeling of Compressive Strength in Coconut Shell...

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Integrated Intelligence and communication Systems (ICIICS), International Conference on

作者： Rupesh Kumar Tipu Owais Ahmad Shah Satvik Vats Arjit Tomar Imran Ahmed Khan Pawan Whig Kunwar Babar Ali Aditya Verma School of Engineering & Technology K. R. Mangalam University Gurugram India Department of Electronics & Communication Engineering Dayananda Sagar University Bengaluru India Department of Computer Science & Engineering Graphic Era Hill University Dehradun India Department of Computer Science & Engineering Noida International University Gautam Budh Nagar India Department of Electronics & Communication Engineering Jamia Millia Islamia University New Delhi India Department of Electronics & Communication Engineering Vivekananda Institute of Professional Studies New Delhi India Department of Computer Science & Engineering (AI) Meerut Institute of Engineering & Technology Meerut India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India

ISBN: (数字)9798331504960

ISBN: (纸本)9798331504977

This study is based on the exploration of ensemble regression models using Adaboost Regressor, Random Forest Regressor, Gradient Boosting Regressor, and XGBoost Regressor for predicting the compressive strength of coconut shell concrete. In the study normalization technique, and 5-fold cross-validation for the training and testing of the models over a dataset of 483 samples are employed, constituting various concrete mix features. It produced the result showing competitive performance with the top performance being Adaboost Regressor that resulted in a score of 0.81 R2 and a minimal MSE of 1.16. With the help of SHAP, it has been analyzed and observed that influential pivotal effects have been outlined by influential features including Age, Coarse Aggregate, and Water content in the predictions. Age of concrete has emerged highest important factor that puts it in a leading role for determining compressive strength. The research itself gives insight into the optimal formulation of concrete, harmonizing between structural integrity and sustainability. Ensemble models, coupled with SHAP, give inspiring directions for advancing concrete technology in eco-friendly construction practices.

关键词： Training Analytical models communication systems Biological system modeling Aggregates Predictive models Boosting Concrete Sustainable development Testing

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Design and Analysis of Terahertz Multi-Frequency Low-Profile Waveguide Antenna Based on Micro-Coaxial Feeding

Design and Analysis of Terahertz Multi-Frequency Low-Profile...

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Antennas and Propagation & USNC/URSI National Radio Science Meeting

作者： LiBo Wang Shu Lin Tong Xu Xingqi Zhang Xinyue Zhang School of Electronics and Information Engineering Harbin Institute of Technology Harbin China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada Department of Electronic Engineering Maynooth University Ireland

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

This paper presents a comprehensive theoretical analysis of electric field distribution in low-profile waveguide antennas operating in the Terahertz frequency range. We have developed a micro-coaxial-based, low-profile, multi-frequency waveguide antenna, integrating pin and gradient ridge structures to enhance its performance. The antenna dimensions are 4.7 mm ×13.3 mm × 0.9 mm. The reflection coefficient of this waveguide antenna is below -10 dB within the frequency ranges of 110–130 GHz, 148–156 GHz, and 175–182 GHz. It exhibits excellent directional radiation characteristics at the center frequencies of these three bands. With its compact size, lightweight, and low-profile features, this antenna is suitable for Terahertz high-speed communication applications, providing a practical approach for harnessing the electromagnetic spectrum resources in high-frequency domains.

关键词： Antenna theory Conferences Waveguide theory Reflector antennas Antenna feeds Reflection Reflection coefficient

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Traffic Classification Using CNN-LSTM Based on Multimedia communication System

Traffic Classification Using CNN-LSTM Based on Multimedia Co...

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Integrated Circuits and communication Systems (ICICACS), IEEE International Conference on

作者： Srinivasan Jagannathan Montater MuhsnHasan Panjagari Kavitha K. S. Vigneshwaran Neethu C Francis Department of Computer Applications Madanapalle Institute of Technology & Science Madanapalle India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Al Diwaniyah Iraq Department of Electronics and Communication Engineering CVR College of Engineering Hyderabad India Department of Mechanical Engineering New Prince Shri Bhavani College of Engineering and Technology Chennai India Department of Electronics and Communication Engineering Dhanalakshmi Srinivasan College of Engineering Technology Mamallapuram India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

Network traffic classification is the process of determining and categorizing network data by identifying various kinds of services, applications, and threats. However, the challenge lies in recognizing and classifying the various class of network traffic among high volume of network traffic data. The classification with high network traffic data struggles from imbalanced data and noise. This research proposes an effective Convolution Neural Network - Long Short-Term Memory (CNN-LSTM) model to classify the network traffic based on multimedia communication system. Initially, the proposed CNN-LSTM is evaluated using Information Security centre for Excellence (ISCX) Virtual Private Network (VPN) and non-VPN traffic dataset to determine the model performance. After obtaining data, the min-max normalization is applied to transform numerical values in a standardized range followed by feature extraction using CNN to capture spatial relationships in network patterns. Finally, the proposed CNN-LSTM is performed to classify the network traffic effectively by utilizing CNN for spatial feature extraction and LSTM to learn sequential dependencies of data effectively in traffic flow. While compared to existing methods like Advanced Density-Based Spatial Clustering of Applications with Noise (A-DBSCAN), the proposed method obtains a high accuracy of 0.9876 using ISCX VPN-non-VPN traffic dataset.

关键词： Noise Telecommunication traffic Transforms Feature extraction Virtual private networks Numerical models Convolutional neural networks Multimedia communication Integrated circuit modeling Long short term memory

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High-resolution Frequency-modulated Dual-pulse Phase-sensitive Optical Time-domain Reflectometry with Direct Detection

High-resolution Frequency-modulated Dual-pulse Phase-sensiti...

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2024 Asia communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical communications, IPOC 2024

作者： Cheng, Yafeng Xie, Zhiyang Ming, Changpeng Wang, Hanyong Qian, Lei Dong, Lei Zhang, Hongguang Wang, Dong Luo, Ming Liu, Wu Huang, Tianye Li, Xiang National Key Laboratory of Optical Communication Technologies and Networks China Information and Communication Technologies Group Corporation Wuhan China Department of Ship Electrical and Electronic Technology Wuhan Institute of Shipbuilding Technology WuHan China Wuhan WUTOS Co. Ltd. WuHan China School of Mechanical Engineering and Electronic Information China University of Geosciences WuHan China National Information Optoelectronics Innovation Center China Information and Communication Technologies Group Corporation Wuhan China

High signal-to-noise detection is achieved by using frequency-modulated dual-pulse phase-sensitive optical time-domain reflectometry with direct detection. Experimental results show that multi-point vibration localiza... 详细信息

ISBN: (纸本)9798350379266

关键词： Frequency modulation

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An Effective Public-key Authenticated Searchable Encryption for Protecting Sensitive data in Healthcare IoT

An Effective Public-key Authenticated Searchable Encryption ...

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Evolutionary Algorithms and Soft Computing Techniques (EASCT), International Conference on

作者： Shanthi M. B Navaneetha M Kartheek G. C. R Parameshachari B. D Department of Computer Science and Engineering CMR Institute of Technology Bengaluru India Department of Computer Science and Engineering Gopalan College of Engineering and Management Bangalore India Department of Electronics and Communication Engineering Nitte Meenakshi Institute of Technology Bengaluru India

The practice of conveying medical records to either a Third-Party Cloud Service (TCS) for backups has become increasingly popular in recent decades at least as the healthcare Internet of things has expanded. However, when used in many environments, a few little PAEKS schemes also have security issues. People proposed a novel, efficient, but also effective PAEKS scheme in this article. The Diffie-Hellman pow consensus concept is used in this scheme to generate a secret key known only to the receiver and to the sender. We show that our scheme is completely risk-free against inside keyword various attacks in several co-environments when the Cloudera Diffie-Hellman assumption is used. From the analysis, it shows that proposed method achieved better results in terms of accuracy (96.8%), precision (95.2%), recall (95.8%) f1-score (95.5%), memory utilization (80 MB) and execution time (0.7 sec) respectively.

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A Smart IoT Solution for Automatic Potholes and Humps Detection: Enhancing Road Safety

A Smart IoT Solution for Automatic Potholes and Humps Detect...

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International Conference on ent Computing and Control Systems (ICICCS)

作者： Dinesh Besiahgari Manjunath R Kounte Shivananda S University of Cincinnati Electronics and Computer Engineering School of Electronics and Communication Engineering REVA University Bengaluru India Department of Information Science and Engineering M S Ramaiah Institute of Technology Bengaluru India

ISBN: (数字)9798331512088

ISBN: (纸本)9798331512095

This paper outlines an IoT based smart system to improve road safety in developing countries by solving the problem of poorly maintained roads. The proposed solution uses ultrasonic sensors and Radio Frequency (RF) transmission system to detect potholes and humps and sends alarm signals to the drivers in real time through Blynk application. A GPS module is used to pin down the exact coordinates of these irregularities and the data is saved in a database which can be used by other drivers and road authority. Although this system presents a feasible and economical design, aspects such as the cost of implementation, robustness towards environmental factors and long term sustainability are analyzed in detail to determine the feasibility of the system. This work is intended to minimize vehicle break down and accidents resulting from road hazards and therefore provides a solution that can be scaled up for enhanced road safety.

关键词： Radio frequency Smart systems Sensor systems and applications Road safety Robustness Real-time systems Pins Internet of Things Sustainable development Vehicles

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