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2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023

作者： Devisurya, V. Paulson, J. Seshadhri, M. Varshini, P. Nagaraj, P. Muneeswaran, V. Kongu Engineering College Department of Information Technology Erode India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Virudhunagar India Kalasalingam Academy of Research and Education Department of Electronics and Communication Engineering Virudhunagar India

ISBN: (纸本)9798350325799

To ensure functionality and durability, engineering constructions must have fractures identified and repaired. Since cracks are typically discovered through visual inspection, the examiner's personal judgment plays a vital part in both the detection of concrete cracks and the estimation of their characteristics. In the past, this has helped with both the evaluation of the crack phenomenon and the repair of various structures. The number of engineering structures has expanded as a result of industrial development, but relative to that, the level of skill in the crack-detecting field has not improved. Therefore, a quicker yet more precise method is required. The image processing method detects the cracks and their characteristics simultaneously. The formulation of the algorithm and the implementation is simple. However, other flaws, such as mistaking noises for fractures and a lack of accuracy in spotting micro-cracks, have turned into major obstacles for this technology. Finding transverse cracks in concrete structures is another critical problem. Therefore, a thorough analysis of the most recent articles is required to establish an accurate technique. In order to comprehend the potential of this technology, a critical study of the image-processing phenomenon and a thorough literature review has been done in this paper. A universal DenseNet121 classification-based algorithm with camera pictures for crack identification could be an effective strategy with greater accuracy. © 2023 IEEE.

关键词： Image enhancement

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Deep Learning Technique for Computer Vision-Based Pose Estimation for Augmented Reality 3rd

Deep Learning Technique for Computer Vision-Based Pose Estim...

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3rd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

作者： Palanimeera, J. Ponmozhi, K. Jyothi, Kanagaraj Dargar, Shashi Kant Birla, Shilpi Department of Computer Applications Sathyabama Institute of Science and Technology Chennai India Department of Computer Applications Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Biotechnology Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Electronics and Communication Engineering Manipal University Jaipur Rajasthan Jaipur India

ISBN: (纸本)9789819784288

Pose estimation approaches of open pose were suggested. Pose estimation in real-time is a difficult research subject with many computer vision applications. Pose estimation applications are Human Activity Estimation, Motion Transfer and Augmented Reality, Training Robots, Motion Tracking for Consoles, and Human Fall Detection. This paper describes the Augmented Reality (AR) of pose estimation. AR is an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology. One interesting use for obtaining the Open-Pose discovered important locations in each pose is in the field of augmented reality. A technique for 3D model overlays on an image using pose key point information that is presented in this study. To extract crucial information from the data, the fully convolutional networks deep learning technique is used. The technique used in this work comprises the real-time intersection of the picture plane with the intended 3D model and accurate model orientation based on the key point data. The performance will greatly depend on the Graphics Processing Unit specifications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep learning

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A Structured Analysis on IPL 2022 matches by approaching various Data Visualization and Analytics

A Structured Analysis on IPL 2022 matches by approaching var...

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2023 International Conference on Computer communication and Informatics, ICCCI 2023

作者： Selva Birunda, S. Nagaraj, P. Jency A Jebamani, B. Revathi, B. Muneeswaran, V. Ramco Institute of Technology Department of Artificial Intelligence and Data Science Virudhunagar India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Virudhunagar India KPR Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Kalasalingam Academy of Research and Education Department of Electronics and Communication Engineering Virudhunagar India

ISBN: (纸本)9798350348217

The main purpose of making this report is to give the information to the franchise to make their decision on buying the players by bidding in the auction based on their performances. There are many models of reports which describe the IPL seasons. This report's purpose is to give a brief analysis of the IPL 202215th league. In this report, much of the data from the datasets of matches is utilized and analysis is made by using Python packages specifically, Pandas, NumPy, and matplotlib. By making graphs and tables a brief analysis with complete knowledge of an IPL season is given. This analysis describes every good performance and gives good chance to the best players. © 2023 IEEE.

关键词： Data visualization

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Microstructural and defects characteristics of xV2O5–(1-x)(0.35MoO3–0.65ZnO) glass nanocomposites utilizing positron annihilation spectroscopy and correlated experimental methods

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Materials Today: Proceedings 2022年 59卷 1643-1650页

作者： Sundar Das, Anindya Biswas, Dipankar Department of Electronics & Communication Engineering Swami Vivekananda Institute of Science &Technology Dakshin Gobindapur Kolkata 700145 India Department of Electronics & Communication Engineering Regent Education and Research Foundation West Bengal Barrackpore Kolkata 700121 India

One binary and a few ternary glass nanocomposite systems of the general composition formula xV2O5–(1-x)(0.35MoO3–0.65ZnO), where x varied from 0.0 to 0.95, were prepared via the melt quenching technique and characterized through Transmission electron microscopy and X-ray diffraction method. Positron annihilation lifetime and coincidence Doppler broadening spectroscopy techniques were also utilized to detect various types of defects formed within the samples. The patterns of the X-ray diffraction method revealed distinct diffraction peaks specifying the formation of nanocrystallites in x = 0.0, 0.15 and 0.35 samples. While for x = 0.55, 0.75 and 0.95 samples, significantly broadened patterns were observed, indicating predominant amorphous characteristics. Different shapes and sizes of so-formed nanocrystallites were also confirmed and measured by Transmission electron microscopy images. Moreover, selected area electron diffraction patterns revealed a few bright spots superimposed over diffuse rings, specifying the presence of nanocrystallites over the amorphous glass matrix. Positron annihilation lifetime measurements for x = 0.0, 0.15, and 0.35 samples revealed that positrons were trapped in the intermediate gaps around the nanocrystallites and vacancy types of defects. Positrons were trapped within the porous type defects inside the amorphous glass matrix and in vacancy clusters for x = 0.55, 0.75, and 0.95 samples. Further, coincidence Doppler broadening studies established the formation of vacancy types of defects due to cation non-stoichiometry and amorphousness of the glass nanocomposites. © 2022

关键词： Defects

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Interference Characterization and Mitigation for Multi-Beam ISAC Systems in Vehicular Networks

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IEEE Transactions on Wireless communications 2024年第10期23卷 14729-14742页

作者： Wang, Yi Zhang, Qixun Zhang, J. Andrew Wei, Zhiqing Feng, Zhiyong Peng, Jinlin The School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China University of Electronic Science and Technology of China Quzhou324003 China The Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing100876 China The Global Big Data Technologies Centre University of Technology Sydney SydneyNSW2007 Australia The Artificial Intelligence Research Center National Innovation Institute of Defense Technology Beijing100071 China

— Millimeter-wave Integrated Sensing and communications (ISAC) with multi-beam design holds significant promise for vehicular networks, offering multi-target omnidirectional sensing and high-capacity communication services concurrently. Nonetheless, the considerable challenge of potential mutual interference arises due to the high mobility and density of transmitters in such networks. To address this challenge effectively, we propose leveraging inter-vehicle communication to schedule communication and sensing signals for vehicles, thereby enhancing networked sensing capabilities. We first introduce an analytical framework to characterize the mutual interference among multiple vehicles. Subsequently, we evaluate the effectiveness of our proposed interference mitigation method in terms of interference probability, duration, and the achievable detectable density. Additionally, recognizing the different performance requirements of communication and sensing functions, we investigate a joint resource allocation problem catering to both aspects. Simulation results demonstrate a notable enhancement in the proposed ISAC-based interference mitigation, with a 58% reduction in interference probability compared to benchmarking schemes. © 2002-2012 IEEE.

关键词： Resource allocation

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A Barrier-Based Machine Learning Approach for Intrusion Detection in Wireless Sensor Networks

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Computers, Materials & Continua 2025年第3期82卷 4181-4218页

作者： Haydar Abdulameer Marhoon Rafid Sagban Atheer Y.Oudah Saadaldeen Rashid Ahmed Information and Communication Technology Research Group Scientific Research CenterAl-Ayen UniversityThi-Qar64011Iraq College of Computer Sciences and Information Technology University of KerbalaKarbala56001Iraq Enginerring Technical College Al-Ayen UniversityThi-Qar64011Iraq Information Technology College University of BabylonHilla51002Iraq Department of Computer Science College of Education for Pure ScienceUniversity ofThi-QarNasiriyah64001Iraq Artificial Intelligence Engineering Department College of EngineeringAl-Ayen UniversityThi-Qar64001Iraq Department of Computer Science Bayan UniversityErbilKurdistan44001Iraq

In order to address the critical security challenges inherent to Wireless Sensor Networks(WSNs),this paper presents a groundbreaking barrier-based machine learning *** applications like military operations,healthcare monitoring,and environmental surveillance increasingly deploy WSNs,recognizing the critical importance of effective intrusion detection in protecting sensitive data and maintaining operational *** proposed method innovatively partitions the network into logical segments or virtual barriers,allowing for targeted monitoring and data collection that aligns with specific traffic *** approach not only improves the *** are more types of data in the training set,and this method uses more advanced machine learning models,like Convolutional Neural Networks(CNNs)and Long Short-Term Memory(LSTM)networks together,to see coIn our work,we used five different types of machine learning *** are the forward artificial neural network(ANN),the CNN-LSTM hybrid models,the LR meta-model for linear regression,the Extreme Gradient Boosting(XGB)regression,and the ensemble *** implemented Random Forest(RF),Gradient Boosting,and XGBoost as baseline *** train and evaluate the five models,we used four possible features:the size of the circular area,the sensing range,the communication range,and the number of sensors for both Gaussian and uniform sensor *** used Monte Carlo simulations to extract these *** on the comparison,the CNN-LSTM model with Gaussian distribution performs best,with an R-squared value of 99%and Root mean square error(RMSE)of 6.36%,outperforming all the other models.

关键词： Intrusion detection system(IDS) hybrid models of CNN-LSTM WSN extreme gradient boosting(XGBoost)regressor ensemble model

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A triple-band miniaturized end-fire antenna based on odd-mode spoof surface plasmonic polariton waveguide resonator

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Optoelectronics Letters 2025年

作者： BAI Yukun MAO Mengqun Tianjin Key Laboratory of Film Electronic and Communication Devices， Engineering Research Center of Optoelectronic Devices and Communication Technology， Ministry of Education， School of Integrated Circuit Science and Engineering， Tianjin University of Technology

A triple-band miniaturized end-fire antenna based on the odd modes of spoof surface plasmonic polariton (SSPP) waveguide resonator is proposed in this paper. To meet the ever increasing demand for more communication channels and less antenna sizes， multi-band antennas are currently under intensive investigation. By a novel feeding method， three odd modes are excited on an SSPP waveguide resonator， which performs as an end-fire antenna operating at three bands， 7.15-7.26GHz， 11.6-12.2GHz and 13.5-13.64GHz. It exhibits reasonably high and stable maximum gains of 5.26， 7.97 and 10.1dBi and maximum efficiencies of 64%， 92% and 98% at the three bands， respectively. Moreover， in the second band the main beam angle shows a frequency dependence with a total scanning angle of 19°. The miniaturized triple-band antenna has a great potential to be applied in wireless communication systems， satellite communication and radar systems.

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A wide-band continuous-beam-scanning leaky-wave antenna with a stable gain fed by spoof surface plasmon polaritons

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Optoelectronics Letters 2022年第4期18卷 210-214页

作者： CHAI Bo LI Yajing BAI Yukun Engineering Research Center of Communication Devices and Technology Ministry of EducationSchool of Integrated Circuit Science and EngineeringTianjin University of TechnologyTianjin 300384China Shanghai University Shanghai 200072China

A leaky-wave antenna(LWA)supporting wide-band and continuous-beam scanning is proposed in this *** is based on a spoof surface plasmon polariton(SSPP)transmission line(TL)periodically loaded with circular *** optimized antenna structure enables its continuous-beam scanning of 69°from backward through broadside to forward with a stable high radiation gain as the operating frequency increases from 7 GHZ to 15 GHz(with a relative bandwidth of 72.73%).Furthermore,a perfect electronic conductor(PEC)reflector is added at a distance of about 0.3λ_(0)(λ_(0) is the vacuum wavelength for the broadside radiation)to improve the antenna gain,achieving a gain increase of about 3 d *** proposed LWA is expected to find applications in planar wireless communication systems.

关键词： antenna beam continuous

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Power and Area Optimized Memristor-Based Majority Identifier for Digital Applications 3

Power and Area Optimized Memristor-Based Majority Identifier...

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3rd IEEE Delhi Section Flagship Conference, DELCON 2024

作者： Raj, P. Michael Preetam Vittapu, Sravan K. Chinnasamy, P. Gupta, Manu Samatha, K. Sasivijaya, K. Mlr Institute of Technology Department of Computer Science and Engineering Hyderabad India Nalla Narasimha Reddy Education Society's Group of Institutions Department of Electronics and Communication Engineering Hyderabad India Kalasalingam Academy of Research and Education Dept. of Computer Science and Engineering Tamil Nadu India Sreenidhi Institute of Science and Technology Department of Electronics and Computer Engineering Hyderabad India

ISBN: (纸本)9798331518592

In earlier developments, CMOS technology played a great role in realizing majority identifiers. There are huge drawbacks that affect the circuit's performance. To overcome the drawbacks of CMOS-based majority Identifiers, novel memristor-based majority and minority Identifiers have been proposed in this work. The features offered by memristor have motivated us to use the component and achieve greatly improved results compared to CMOS-based majority identifier circuits. After observing the behavior of the basic memristor-based majority identifier circuit, we have decided to design and implement a memristor-based majority and minority identifier circuit which can be used in many automation systems to increase quality and productivity. © 2024 IEEE.

关键词： CMOS integrated circuits

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Multi-criteria decision making for nuclear power plant selection using fuzzy AHP:Evidence from Indonesia

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Energy and AI 2023年第4期14卷 99-111页

作者： Ade Gafar Abdullah Mohammad Ali Shafii Syeilendra Pramuditya Topan Setiadipura Kurnia Anzhar Electrical Engineering Study Program Universitas Pendidikan IndonesiaBandungIndonesia Physics Department Andalas UniversityPadangIndonesia Nuclear Science and Engineering Study Program Bandung Institute of TechnologyIndonesia Research Center for Nuclear Reactor Technology National Research and Innovation AgencyIndonesia Pusat Unggulan Ipteks Perguruan Tinggi Technical and Vocational Education and Training Research Center(TVET RC)Universitas Pendidikan IndonesiaIndonesia

In terms of planning aspect,nuclear power plant(NPP)development needs analyses,consideration,and right decision making due to multi criteria *** study prioritizes the best site development of Indonesian NPPs in terms of 21 social,economic,and technical perspectives which comprise transmission network,oper-ating cost,economic impact,geology,geotechnic,seismology,population density,environment,cooling water,meteorology,hydrology,proximity to hazardous facilities,topography,land use,proximity to wetland,evacu-ation route,security,transportation network,legal consideration,impact of tourism,land ownership,historical places,and public acceptance,all identified to be considerations for the best *** Fuzzy algorithms(Chang’s Extent Analysis and Buckley’s Fuzzy AHP)were used to determine the criteria priorities as well as NPP site feasibility of two locations in *** results found that geology,geotechnic,and seismology(SA1);security(SO1),population density(SA2),environment(SA3),and cooling water(SA4)had the highest priorities among the 21 *** on the 5 top priority criteria,West Kalimantan and East Kalimantan provinces serve as the best candidates for the NPP *** an innovative and novel multi criteria Fuzzy AHP–based decision making(MCDM)approach has been proven to become a useful reference to select NPP sites in Indonesia.

关键词： Analytical hierarchy process Fuzzy AHP Multi-criteria decision making Nuclear power plant

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