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Design of tri band Planar Inverted F Antenna

Design of tri band Planar Inverted F Antenna

引用

2016 IEEE International Conference on Advances in Electronics, Communication and computer technology, ICAECCT 2016

作者： Jha, Nidhi Pisu, Chinmay Sakhare, Sneha Jagtap, Pramod Degaonkar, Varsha Dept. of Electrical and Computer Engineering University of California Davis United States Dept. of EandTC International Institute of Information Technology Pune India

ISBN: (纸本)9781509036622

In this paper, we are presenting a tri-band Planar Inverted F Antenna (PIFA) for mobile application. PIFA basically consist of ground plate, patch, feed and shortening pin connected to ground plate. Antenna is designed to tune at 916MHz, 1800MHz and 6.2GHz frequencies. Designed antenna has been simulated in CST 2012 software and various parameters of antenna are studied and presented. The designed antenna also has been fabricated manually and tested on vector network analyser (VNA) and has met the performance criteria for mobile application. © 2016 IEEE.

关键词： Microstrip antennas

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Deep Greedy Network: A Tool for Medical Diagnosis on Exiguous Dataset of COVID-19 1

Deep Greedy Network: A Tool for Medical Diagnosis on Exiguou...

引用

1st IEEE International Conference for Convergence in Engineering, ICCE 2020

作者： Dey, Sumagna Biswas, Saptarshi Nandi, Srija Nath, Subhrapratim Das, Indrajit Meghnad Saha Institute of Technology Computer Science and Engineering Kolkata India Jadavpur University Computer Science and Engineering Kolkata India Meghnad Saha Institute of Technology Dept. of Information Technology Kolkata India

ISBN: (纸本)9781728173405

The extensive outbreak of COVID-19 has created a worldwide health crisis. Transmission of this disease occurs among people through droplets which causes severe respiratory distress and in turn can also lead to fatal death. At the pinnacle of this pandemic, scientists endeavor to discover the medication for the COVID-19 victims. Artificial Intelligence algorithms, especially, deep learning, on the other hand, is used for the diagnosis of the COVID-19 patients but this requires an enormous radiographic data set to effectively provide an optimized outcome for a particular scenario. This work presents a new technique called 'Deep Greedy Network' which will work efficiently with a finite number of datasets. In spite of peculiarity caused due to limited dataset, the anomaly of overfitting and underfitting could be effectively overcome using the proposed algorithm. This, in turn, is simultaneously going to be both cost-effective and efficient. The proposed architecture ensures the efficacious result after the proper judgement of the trained model on the given X-ray datasets of COVID-19 cases. © 2020 IEEE.

关键词： COVID-19

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Multishot Adversarial Network Decoding 59

Multishot Adversarial Network Decoding

引用

59th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2023

作者： Cotardo, Giuseppe Matthews, Gretchen L. Shapiro, Julia Ravagnani, Alberto Virginia Tech Dept. of Mathematics BlacksburgVA United States Eindhoven University of Technology Dept. of Mathematics and Computer Science Eindhoven Netherlands

ISBN: (纸本)9798350328141

We investigate adversarial network coding and decoding focusing on the multishot regime. Errors can occur on a proper subset of the network edges and are modeled via an adversarial channel. The paper contains both bounds and capacity-achieving schemes for the Diamond Network and the Mirrored Diamond Network. We also initiate the study of the generalizations of these networks. © 2023 IEEE.

关键词： Network coding

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Scale Free Fully Informed Particle Swarm Optimization: Parametric Perspective

Scale Free Fully Informed Particle Swarm Optimization: Param...

引用

2018 IEEE International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2018

作者： Dwivedi, Vasudha Sharma, Ajay Dept. of Computer Science Engineering United College of Engineering and Research AllahabadU.P. India Dept. of Computer Science Engineering Kamla Nehru Institute of Technology SultanpurU.P. India

ISBN: (纸本)9781538641194

The current research work is mainly based on enhancement of a canonical model of the basic Particle Swarm Optimization (PSO) algorithm for achieving maximum optimized results for the real world *** existing topological algorithms like Global PSO (GPSO) and Scale-free fully informed PSO (SFIPSO) performs well but it has low success rate and vulnerable to stuck in local *** this paper scale free topology is modified with the inclusion of a new inertial weight (ω) (WSFIPSO) and results are compared with GPSO, SFIPSO, and inertial weight version of GPSO (WGPSO). These algorithms are tested on eight benchmark functions and WSFIPSO achieves 100% success rate on all benchmark functions, each SFIPSO and GPSO on two-two benchmark functions while WGPSO fails to achieve 100% success rate on any one of the benchmark function. Solution quality of the proposed approach outperforms on seven benchmark functions while GPSO on one. SFIPSO ranked 2nd on five benchmark functions even with low success rates. These findings clearly shows that topology based PSO greatly impact the solution quality. © 2018 IEEE.

关键词： Topology

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A new reversible secret image sharing scheme based on multi-level encoding

A new reversible secret image sharing scheme based on multi-...

引用

2011 International Conference on Internet Computing and Information Services, ICICIS 2011

作者： Wang, Zhi-Hui Chang, Chin-Chen Pizzolatti, Marcos Segalla Dept. of Software Dalian University of Technology DaLian China Dept. of Information Engineering and Computer Science Feng Chia University Taichung Taiwan

Lin et al. proposed a non-expansion method to improve the image quality of the recovered image in visual cryptography by taking into account the distribution of black pixels. This paper proposes a new non-expansion me... 详细信息

ISBN: (纸本)9780769545394

关键词： Signal encoding

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Common-mode voltage reduction for medium-voltage current source converters by optimizing switching sequences

Common-mode voltage reduction for medium-voltage current sou...

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5th Annual IEEE Energy Conversion Congress and Exhibition, ECCE 2013

作者： Hu, Anping Zhu, Ning Xu, Dewei David Wu, Bin Su, Jianhui Dept. of Electric Engineering and Automation Hefei University of Technology Hefei China Dept. of Electrical and Computer Engineering Ryerson University Toronto Canada

ISBN: (纸本)9781479903351

Common-mode voltages (CMVs) can lead to premature failure of the motor insulation system in medium-voltage (MV) current source drives. This paper proposes a novel space-vector modulation (SVM) based gating strategy that can significantly reduce the peak CMV by optimizing the switching sequences for MV current source converters (CSCs). In the proposed method, the switching sequence of one side of the CSC is fixed and the sequence of the other side is selected to produce the minimum peak CMV. The optimization process is based on the CMV calculation for all the possible switching sequence combinations. To validate the proposed concept, different SVM based control schemes for CSCs are investigated. The results show the effectiveness of the proposed concept. In addition, the proposed strategy can be easily implemented in software and requires no extra hardware. By using this method, the CMV stress of the motor is reduced significantly and the size/weight for the common-mode choke can also be reduced. © 2013 IEEE.

关键词： Vector spaces

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User-class based service acceptance policy using cluster analysis

引用

1st International Conference on Distributed Computing and Internet technology, ICDCIT 2004

作者： Park, Hea-Sook Yan-Ha Lee, Soon-Mi Park, Young-Whan Baik, Doo-Kwon Dept. of Computer & Information Technology Kyungin Womens’s College 548-4 Gyesan-dong Gyeyang-gu Incheon407-740 Korea Republic of Dept. of Computer Science Hansung University Seoul Korea Republic of Dept. of Computer Science Technology Korea University Seoul Korea Republic of

ISBN: (纸本)9783540240754

This paper suggests a new policy for consolidating a company’s profits by segregating the clients using the contents service and allocating the media server’s resources distinctively by clusters using the cluster analysis method of CRM, which is mainly applied to marketing. For the realization of a new service policy, this paper analyzes the level of contribution vis-à-vis the clients’ service and profits through the cluster analysis of clients’ data applying the K-Means Method. Clients were grouped into 4 clusters according to the contribution level in terms of profits. In addition, to evaluate the efficiency of CRFS within the Client/Server environment, the acceptance rate per class was determined. The results of the experiment showed that the application of CRFS led to the growth of the acceptance rate of clients belonging to the cluster as well as the significant increase in the profits of the company. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Profitability

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A modularly vectorized two dimensional LDA for face recognition

A modularly vectorized two dimensional LDA for face recognit...

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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Huxidan Liu, Wan-Quan Lu, Chong Dept. of Computer Science YiLi Normal College Yining 835000 China Dept. of Computing Curtin University of Technology WA 6102 Australia

ISBN: (纸本)9781467314855

In this paper, a modularly vectorized 2DLDA (Mv2DLDA) is proposed for face recognition. First, the original images are divided into modular blocks. Then, each sub-block is transformed into a vector. By using column vector to represent each modular block, we can obtain a two dimensional matrix representation for image. Finally 2DLDA is applied directly on these 2D matrices. Experimental results on ORL, Yale B and PIE databases show that the proposed method can achieve better recognition performance in comparison with RLDA, 2DPCA and 2DLDA. © 2012 IEEE.

关键词： Face recognition

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Dynamic Checkpointing: Fault Tolerance in High-Performance Computing 3

Dynamic Checkpointing: Fault Tolerance in High-Performance C...

引用

3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024

作者： Bhowmik, Biswajit Verma, Tushar Dineshbhai, Navdeep Dadhania Reddy, Manideep Raya Vsrs Girish, K.K. National Institute of Technology Karnataka Maharshi Sushrut Cas Lab Brics Laboratory Dept. of Computer Science and Engineering Mangalore India National Institute of Technology Karnataka Maharshi Kanad Qc Lab Brics Laboratory Dept. of Computer Science and Engineering Mangalore India National Institute of Technology Karnataka Ishwarchandra Vidyasagar Ait Lab Brics Laboratory Dept. of Computer Science and Engineering Mangalore India

ISBN: (纸本)9798331528201

Parallel computing has become a cornerstone of modern computational systems, enabling the rapid processing of complex tasks by utilizing multiple processors simultaneously. However, the efficiency and reliability of these systems can be significantly compromised by inherent challenges such as hardware failures, communication delays, and uneven workload distribution. These issues not only slow down computations but also threaten the dependability of applications reliant on parallel processing. To address these challenges, researchers have developed strategies like dynamic checkpointing and load balancing, which are crucial for enhancing fault tolerance and optimizing performance. Dynamic checkpointing periodically saves the computational state, allowing for recovery from failures without significant data loss, while load balancing ensures that tasks are evenly distributed across processors, preventing bottlenecks and underutilization of resources. By integrating these mechanisms, this paper proposes a robust framework that improves the reliability and efficiency of parallel systems, particularly in high-performance computing environments where the ability to handle large-scale data processing with minimal downtime is critical. © 2024 IEEE.

关键词： Parallel processing systems

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Multiview geometry for texture mapping 2D images onto 3D range data

Multiview geometry for texture mapping 2D images onto 3D ran...

引用

2006 IEEE computer Society Conference on computer Vision and Pattern Recognition, CVPR 2006

作者： Liu, Lingyun Stamos, Ioannis Yu, Gene Wolberg, George Zokai, Siavash Dept. of Computer Science Hunter College CUNY New York NY 10021 Dept. of Computer Science City College CUNY New York NY 10031 Brainstorm Technology New York NY 10011

ISBN: (纸本)0769525970

The photorealistic modeling of large-scale scenes, such as urban structures, requires a fusion of range sensing technology and traditional digital photography. This paper presents a system that integrates multiview geometry and automated 3D registration techniques for texture mapping 2D images onto 3D range data. The 3D range scans and the 2D photographs are respectively used to generate a pair of 3D models of the scene. The first model consists of a dense 3D point cloud, produced by using a 3D-to-3D registration method that matches 3D lines in the range images. The second model consists of a sparse 3D point cloud, produced by applying a multiview geometry (structure-from-motion) algorithm directly on a sequence of 2D photographs. This paper introduces a novel algorithm for automatically recovering the rotation, scale, and translation that best aligns the dense and sparse models. This alignment is necessary to enable the photographs to be optimally texture mapped onto the dense model. The contribution of this work is that it merges the benefits of multiview geometry with automated registration of 3D range scans to produce photorealistic models with minimal human interaction. We present results from experiments in large-scale urban scenes. © 2006 IEEE.

关键词： Computational geometry

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