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Simulation and analysis of a dual-passband active tunable frequency selective structure 12

Simulation and analysis of a dual-passband active tunable fr...

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12th IEEE asia-pacific conference on Antennas and Propagation, APCAP 2024

作者： Qian, Wang Junxia, Tian School of Information Science and Engineering Shandong Weihai264209 China Avic Research Institute for Special Structures of Aeronautical Composite Aviation Key Laboratory of Science and Technology on High Performance Electromagnetic Windows Shandong Jinan250023 China

ISBN: (纸本)9798350351019

In order to meet the technical requirements of radar stealth, a dual-passband active tunable frequency selective structure (TDB FSS) is simulated. The antenna adopts a three-layer CLC composite structure and loads varactor diode branches to achieve two stable passbands, and the two resonance bands are effectively regulated by adjusting the PIN capacitance value. The full-wave electromagnetic simulation software was used to optimize the design and performance simulation of the structure. The simulation results show that the structure achieves two stable passbands near the 4.4 GHz and 12.6 GHz frequency points, and when the varactor diode capacitance changes from 0.1 pF to 1 PF, two adjustable passbands of 1.6 GHz to 4.4 GHz and 10.7 GHz to 12.6 GHz are formed, which realizes the independent regulation of the two passbands. The results show that the design scheme of dual-passband active tunable frequency selective structure proposed in this paper is feasible. © 2024 IEEE.

关键词： Varactors

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Analysis of the Electromagnetic Field (EMF) Distribution on the Human Body due to Earth's Potential Rise (EPR) of Different Types of Soil 12

Analysis of the Electromagnetic Field (EMF) Distribution on ...

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12th asia-pacific International conference on Lightning, APL 2023

作者： Hashim, Siti Nurhidayu Binti Bani Ali, N. H.Nik Rahman, M. S.Abd Johari, D. Haris, Faranadia Abdul Kadir, M. Z. A.Ab Universiti Teknologi MARA School of Electrical Engineering College of Engineering Selangor Shah Alam40450 Malaysia Sdn Bhd Real Estate & Infrastructure Selangor Shah Alam40150 Malaysia Universiti Teknologi MARA Cawangan Pulau Pinang Kampus School of Electrical Engineering Pulau Pinang Permatang Pauh Malaysia Faculty of Engineering Selangor Serdang Malaysia

ISBN: (纸本)9781665456852

This paper investigates the magnetostatic properties of Earth's Potential Rise (EPR) distribution caused by a direct lightning strike on the ground, taking into account the specific characteristics of different parts of the human body. The study includes various soil parameters and considers different distances between objects and striking points. To simulate these conditions, a designed model was used in conjunction with finite element software (ANSYS). The simulation results show that lightning striking the soil can significantly increase the current potential around the attachment point, extending to distant parts of the earth due to soil conductivity. To evaluate the potential impact on the human body, the study analyzed the values of the Electromagnetic Field (EMF) and EPR distributions, which can cause injuries or fatalities. Understanding these effects is crucial for developing effective grounding and lightning protection systems. Public safety measures should also be disseminated to reduce the risks posed to humanity. The results of the analysis demonstrate that different soil factors influence the human body in distinct ways. This information can be used to develop more effective safety measures and improve the protection of human life from lightning strikes. © 2023 IEEE.

关键词： Electromagnetic fields

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Obstacle-Avoidance Path Planning of Robot Arm Based on Improved RRT Algorithm 8

Obstacle-Avoidance Path Planning of Robot Arm Based on Impro...

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8th asia-pacific conference on Intelligent Robot Systems, ACIRS 2023

作者： Hu, Chong Mu, Chunyang Xing, Ma Zhang, Chuntao Zhou, Wenya Yang, Ke School of Electrical and Information Engineering North Minzu University Yinchuan China College of Mechanical and Electrical Engineering North Minzu University The Key Laboratory of Intelligent Information and Big Data Processing of Ningxia Province Yinchuan China School of Electrical and Information Engineering North Minzu University The Key Laboratory of Intelligent Information and Big Data Processing of Ningxia Province Yinchuan China College of Mechanical and Electrical Engineering North Minzu University Yinchuan China

ISBN: (纸本)9798350302851

In the application of RRT (Rapidly-exploring Random Trees) algorithm in obstacle avoidance path planning of redundant robot arms in high-dimensional space, the sampling area of random sampling points is large, the search time is long, the path twists and turns, and the redundant points are too many. In this paper, an efficient sampling RRT algorithm with adaptive step size and fast automatic convergence is proposed. Firstly, by adding the optimized gravity function, the step size of the extended tree is changed adaptively and the convergence is stronger. Secondly, the limited sampling of parent node area expansion is proposed to avoid useless point sampling and repeated point sampling, so that the utilization of sampling points is greatly improved. Finally, by changing the way of parent node reconnection and re-selection, the path tortuous degree is lower, the path planning cost and redundancy points are reduced, and MATLAB software is used to carry out the path planning simulation experiment. By comparing RRT, gravitational field RTT and RRT∗ algorithm, the improved RRT algorithm has significantly improved in distance, time and number of nodes. It has important engineering application value. © 2023 IEEE.

关键词： Motion planning

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Spectral Efficiency Analysis for Grant-Free Random Access Cell-Free Massive MIMO with Ricean Fading 29

Spectral Efficiency Analysis for Grant-Free Random Access Ce...

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29th IEEE asia pacific conference on Communications, APCC 2024

作者： Xiao, Shuai Liu, Pei Zhang, Qi Zhan, Wen Ding, Jie Choi, Jinho Wuhan University of Technology School of Information Engineering Wuhan430070 China Wuhan University of Technology Advanced Engineering Technology Research Institute of Zhongshan City Zhongshan528437 China Nanjing University of Posts and Telecommunications School of Communication and Information Engineering Nanjing210023 China Sun Yat-sen University School of Electronics and Communication Engineering Shenzhen518107 China Deakin University School of Information Technology GeelongVIC3220 Australia The University of Adelaide School of Electrical and Mechanical Engineering North Terrace AdelaideSA5005 Australia

ISBN: (纸本)9798331517816

The spectral efficiency in cell-free massive MIMO with grant-free random access under Ricean fading, utilizing a linear maximal-ratio combining detector, is the focus of this paper. Firstly, explicit expressions for the effective signal-to-interference-plus-noise ratio (SINR) are introduced, using the least squares (LS) and minimum mean squared error (MMSE) estimation methods, valid for varying Ricean K-factor and for varying numbers of access point antennas M. Furthermore, we drive the asymptotic SINR expressions under extreme conditions of infinite Ricean K-factor, infinite M, and the appropriate scaling of the users' power. The corresponding analysis shows that as M approaches infinity, the sum uplink rate converges to log2 M, regardless of the Ricean K-factor. Particularly, in the case of LS estimation, reducing each user's transmit power by 1 / M maintains the rate, converging to a definitive value irrespective of the Ricean K-factor. In the case of MMSE estimation, power is able to be scaled down by 1 / M to achieve it when Ricean K-factor is zero, whereas the power of nonzero Ricean K-factor necessitates a reduction by 1 / M. Finally, simulations confirm all theoretical outcomes. © 2024 IEEE.

关键词： Mean square error

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Discovering Authorship of Vulnerabilities in Open Source software 28

Discovering Authorship of Vulnerabilities in Open Source Sof...

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28th asia-pacific software engineering conference (APSEC)

作者： Ghosh, Krishnendu Otero, Damon Coll Charleston Dept Comp Sci Charleston SC 29401 USA

ISBN: (纸本)9781665438131

software vulnerabilities are, often the outcome of poor programming practices in the software developmental process. Elimination of bugs increases the expenses of the software. Bugs are created during software development process by programmers. Mitigation of flawed code in the programs can be achieved by training programmers to adopt secure code practices. Therefore, identification of flawed code created by authors becomes critical. In this work, a novel network theoretic approach to understand the relationships between programmers and flawed code in open source software projects is created. Experiments are conducted on multiple open source software to evaluate and validate the connections with authors and flaws, using multiple metrics motivated by concepts from natural language processing.

关键词： Static Code Analysis Natural Language Processing Network Theory Vulnerabilities

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Development of cost-effective lightning protection measures for underprivileged communities 12

Development of cost-effective lightning protection measures ...

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12th asia-pacific International conference on Lightning, APL 2023

作者： Gomes, Chandima Guthrie, Mitchell University of Witwatersrand School of Electrical and Information Engineering Johannesburg South Africa Engineering Consultant Bhanch NC United States

ISBN: (纸本)9781665456852

Personal and group lightning safety modules for outdoor applications are designed and analyzed by simulation. The international standards on lightning protection (IEC 62305) comprehensively detail the design and construction of protection for modern construction. However, the applicability of such standard practices in safeguarding human beings in underprivileged communities from the five basic lightning injury mechanisms (cost factors, complications in implementation, strategic issues such as weight, stability, theft, etc.) is a long-standing question. In this study, we construct lightning protection schemes for individual and group applications, on both land and water, which will lead to the safeguarding of human lives of both underprivileged communities and amusement/leisure seekers. Simulations are done with PSCAD and COMSOL software to find the current and potential distribution in pre-determined metallic structures to compute the optimum dimensions, best-suited materials, and insulation requirements to minimize direct strike, side flash, touch potential, step potential and upward streamer hazards as well as to ensure mechanical and thermal stability. The best-performing designs are proposed to be constructed and tested by applying high voltage and current impulses under laboratory conditions to justify the suitability of the schemes as lightning safety measures for the general public. The proven structures could then be patented and commercialized for public applications. © 2023 IEEE.

关键词： Developing countries

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Mathematical Modelling Methods Based on Computer software and Their Applications 23

Mathematical Modelling Methods Based on Computer Software an...

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5th asia pacific Information Technology conference, APIT 2023

作者： Sun, He Kunming University of Science and Technology Oxbridge College Kunming Yunnan China

ISBN: (纸本)9781450399500

The application of computer software technology has played a very important role in the development of the information society. With the development of computer science and network communications and other disciplines and deep into people's lives, it has become an emerging science and advanced management model of the combination of new methodologies. Mathematical modelling is the transformation of practical problems into algebraic data for analysis and processing to obtain results and to make predictions and decisions about future changes, and computer software-based agent models have a wide range of applications in the field of mathematical modelling. Therefore, the author proposes a mathematical agent model optimization design toolbox based on MALTAB user graphical interface, which covers common sampling methods, typical agent model theory and optimization algorithms, and adds some new theoretical method research results on this basis, which can well help users to solve the common engineering design mathematical modeling and its optimization problems. © 2023 ACM.

关键词： software agents

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Generation of Circular Airy OAM Beam by Conformal Holographic Impedance Metasurface 12

Generation of Circular Airy OAM Beam by Conformal Holographi...

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12th IEEE asia-pacific conference on Antennas and Propagation, APCAP 2024

作者： Huang, Hui-Fen Lei, Xiao-Mei South China University of Technology School of Electronic and Information Engineering Guangzhou510641 China

ISBN: (纸本)9798350351019

In this paper, a conformal tensor holographic impedance metasurface (CTHIM) is presented to generate lefthanded circular polarized (LHCP) circular Airy orbital angular momentum (OAM) beams. The CTHIM operates at a frequency of 32 GHz, generating a circular Airy OAM beam with mode number of +1 order, and deflection angle of (θ=30°, φ=0°). The Blackman window function is used for the optimal design of the modulation depth. To the knowledge of the authors, there is no literature on the generation of circular Airy beams using CTHIM. The nondiffractive distance (ND) of the Airy OAM beam is 54 λ, the self-focusing distance is 450mm,+1 order OAM mode purity is 92.2%, and the conversion efficiency is 46.6%. The metasurface has a radius of 65 mm and an area of π ×(6.9 λ)2. The conformal structure can fit the surface of columnar devices, which is more in line with the actual needs in the fields of communication, radar, and medical treatment. © 2024 IEEE.

关键词： Circular polarization

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A Novel Approach for Early Recognition of Cataract using VGG-16 and Custom User-based Region of Interest 2022

A Novel Approach for Early Recognition of Cataract using VGG...

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4th asia pacific Information Technology conference, APIT 2022

作者： Paul Jacob, Aaron Bansal, Aryan Malhotra, Ruchika Department of Software Engineering Delhi Technological University India Head of Department Department of Software Engineering Delhi Technological University India

ISBN: (纸本)9781450395571

Cataract is a severe eye disease and is one of the main causes of vision impairment across the world. There have been many researches about cataract prediction using machine and deep learning state-of-the-art methods but all of these methods rely on automatic image classification without using the knowledge of the clinicians. This study proposes a novel approach that incorporates artificial intelligence with the human intelligence of experienced medical professionals. Our model allows manual selection of the region in the fundus image that is most likely to have cataract and gives it more importance as compared to the rest of the region in the image. After that, a VGG-16 model was applied to classify the input images. Accuracy was chosen as the performance metric and the maximum accuracy observed for the model was 98.83%. © 2022 ACM.

关键词： Deep learning

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Artificial Intelligence and Machine Learning Model for Healthcare

Artificial Intelligence and Machine Learning Model for Healt...

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2023 IEEE Technology and engineering Management conference - asia pacific, TEMSCON-ASPAC 2023

作者： Trivedi, Harsh Prabhu, Sandeep Prabhu, Prathamesh Prabhu, Aeshani Pune India MIT-ADT University Mit School of Engineering Pune India Tata Consultancy Services Tcs Interactive Pune India

ISBN: (纸本)9798350384659

This study aims to understand the role of artificial intelligence in analyzing and detecting diseases using the electronic healthcare records of a patient. Recently, advances in specialized software, hardware configuration, and applications across a wide range of industries have been made in artificial intelligence (AI) and machine learning. This paper provides an overview of the current developments in AI for biomedical applications. Such as the diagnosis of any disease, living aid, processing of biomedical data, and biomedical research. Consequently, the goal is to examine the value of ML and AI in developing the healthcare domain. Researchers as well as health professionals are paying more attention to artificial intelligence (AI) in the healthcare industry. The data in this research is collected and analyzed using a qualitative technique. Payers, care providers, and life sciences corporations are already using AI in various forms. The objective is to analyze the main application areas;diagnosis and treatment recommendations, patient engagement, adherence, and administrative operations. Findings suggest how AI will improve the quality in the healthcare sector by reducing costs, impacting clinical decision-making, and disease diagnosis. AI and ML models are crucial to the growth of healthcare organizations and healthcare systems. These technologies help identify trends in some disorders, thus significantly impacting healthcare businesses. The study will help us understand how artificial intelligence can be used to improve the patient experience and show that it has the potential to plan and allocate resources in the healthcare sector. Early disease identification is essential for the well-being of a person in the long run. AI and ML also aid in the expansion of the healthcare system. © 2023 IEEE.

关键词： Medical applications

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