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Tolerance rough set firefly-based quick reduct

Neural Computing and Applications 2016年第10期28卷 2995-3008页

作者： Jothi Ganesan Hannah H. Inbarani Ahmad Taher Azar Kemal Polat Department of Information Technology Sona College of Technology (Autonomous) Salem India Department of Computer Science Periyar University Salem India Faculty of Computers and Information Benha University Benha Egypt Department of Electrical and Electronics Engineering Faculty of Engineering and Architecture Abant Izzet Baysal University Bolu Turkey

In medical information system, there are a lot of features and the relationship among elements is solid. In this way, feature selection of medical datasets gets awesome worry as of late. In this article, tolerance rough set firefly-based quick reduct, is developed and connected to issue of differential finding of diseases. The hybrid intelligent framework intends to exploit the advantages of the fundamental models and, in the meantime, direct their restrictions. Feature selection is procedure for distinguishing ideal feature subset of the original features. A definitive point of feature selection is to build the precision, computational proficiency and adaptability of expectation strategy in machine learning, design acknowledgment and information mining applications. Along these lines, the learning framework gets a brief structure without lessening the prescient precision by utilizing just the chose remarkable features. In this research, a hybridization of two procedures, tolerance rough set and as of late created meta-heuristic enhancement calculation, the firefly algorithm is utilized to choose the conspicuous features of medicinal information to have the capacity to characterize and analyze real sicknesses. The exploratory results exhibited that the proficiency of the proposed system outflanks the current supervised feature selection techniques.

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Coddora: CO2-Based Occupancy Detection Model Trained via Domain Randomization

Coddora: CO2-Based Occupancy Detection Model Trained via Dom...

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International Joint Conference on Neural Networks (IJCNN)

作者： Manuel Weber Farzan Banihashemi Davor Stjelja Peter Mandl Ruben Mayer Hans-Arno Jacobsen Department of Computer Science and Mathematics Munich University of Applied Sciences (HM) Munich Germany Chair of Energy Efficient and Sustainable Design and Building Technical University of Munich Germany Department of Mechanical Engineering Aalto University Espoo Finland Faculty of Mathematics Physics and Computer Science University of Bayreuth Germany Department of Electrical and Computer Engineering University of Toronto Canada

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

Information about human presence in indoor spaces is crucial for building energy optimization. While there has been a considerable amount of research on using neural networks to automatically detect occupancy from CO2 sensors, their application in practice is limited due to the scarcity of labeled training data. In this paper, we propose Coddora, an off-the-shelf deep learning model pretrained on data from randomized room simulations. Coddora enables quick adaptation to real-world rooms, requiring only minimal data collection. Our contribution includes two model variants for application via fine-tuning or zero-shot classifying, as well as the synthetic dataset providing data from simulations with 100,000 room models.

关键词： Training Adaptation models Accuracy Buildings Neural networks Transfer learning Training data

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Multi-Unit Floor Plan Recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans

arXiv

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arXiv 2024年

作者： Kratochvila, Lukas de Jong, Gijs Arkesteijn, Monique Bilík, Šimon Zemčík, Tomáš Horak, Karel Rellermeyer, Jan S. Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Department of Software Technology Faculty of Electrical Engineering Mathematics and Computer Science TU Delft Delft Netherlands Department of Management in the Built Environment Faculty of Architecture and the Built Environment TU Delft Delft Netherlands Computer Vision and Pattern Recognition Laboratory Department of Computational Engineering Lappeenranta-Lahti University of Technology LUT Lappeenranta Finland Dependable and Scalable Software Systems Institute of Systems Engineering Faculty of Electrical Engineering and Computer Science Leibniz University Hannover Hannover Germany

Digital twins have a major potential to form a significant part of urban management in emergency planning, as they allow more efficient designing of the escape routes, better orientation in exceptional situations, and faster rescue intervention. Nevertheless, creating the twins still remains a largely manual effort, due to a lack of 3D-representations, which are available only in limited amounts for some new buildings. Thus, in this paper we aim to synthesize 3D information from commonly available 2D architectural floor plans. We propose two novel pixel-wise segmentation methods based on the MDA-Unet and MACU-Net architectures with improved skip connections, an attention mechanism, and a training objective together with a reconstruction part of the pipeline, which vectorizes the segmented plans to create a 3D model. The proposed methods are compared with two other state-of-the-art techniques and several benchmark datasets. On the commonly used CubiCasa benchmark dataset, our methods have achieved the mean F1 score of 0.86 over five examined classes, outperforming the other pixel-wise approaches tested. We have also made our code publicly available to support research in the field. © 2024, CC BY.

关键词： Semantic Segmentation

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Open and Big Data Management and Innovation 1

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丛书名： Lecture Notes in computer science

1000年

作者： Marijn Janssen Matti Mäntymäki Jan Hidders Bram Klievink Anneke Zuiderwijk Winfried Lamersdorf Bastiaan van Loenen

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Towards an ESL design framework for adaptive and fault-tolerant MPSoCs: MADNESS or not?

Towards an ESL design framework for adaptive and fault-toler...

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2011 9th IEEE Symposium on Embedded Systems for Real-Time Multimedia, ESTIMedia 2011

作者： Cannella, Emanuele Di Gregorio, Lorenzo Fiorin, Leandro Lindwer, Menno Melonr, Paolo Neugebauer, Olaf Pimentel, Andy Leiden Institute of Advanced Computer Science Leiden University Netherlands Lantiq Deutschland GmbH Neubiberg Germany ALaRI Faculty of Informatics University of Lugano Switzerland Silicon Hive BV High Tech Campus 83 5656 AG Eindhoven Netherlands DIEE Department of Electrical and Electronic Engineering University of Cagliari Cagliari Italy Informatik Centrum Dortmund Joseph-von-Fraunhofer-Str. 20 Dortmund Germany Computer Systems Architecture Group Informatics Institute University of Amsterdam Netherlands

ISBN: (纸本)9781457721236

The MADNESS project aims at the definition of innovative system-level design methodologies for embedded MP-SoCs, extending the classic concept of design space exploration in multi-application domains to cope with high heterogeneity, technology scaling and system reliability. The main goal of the project is to provide a framework able to guide designers and researchers to the optimal composition of embedded MPSoC architectures, according to the requirements and the features of a given target application field. The proposed approach will tackle the new challenges, related to both architecture and design methodologies, arising with the technology scaling, the system reliability and the ever-growing computational needs of modern applications. The methodologies proposed with this project act at different levels of the design flow, enhancing the state-of-the art with novel features in system-level synthesis, architectural evaluation and prototyping. Support for fault resilience and efficient adaptive runtime management is introduced at hardware and middleware level, and considered by the system-level synthesis as one of the optimization factors to be taken into account. This paper presents the first stable results obtained in the MADNESS project, already demonstrating the effectiveness of the proposed methods. © 2011 IEEE.

关键词： Middleware

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Redundant optical data transmission using semiconductor lasers

Redundant optical data transmission using semiconductor lase...

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ACS/IEEE International Conference on computer Systems and Applications

作者： H. D. Wacker J. Borcsok H. Hillmer Development HIMA Paul Hildebrandt GmbH + Co KG Bruehl GERMANY Department of Electrical Engineering and Computer Science Chair for Computer Architecture and System Programming Kassel GERMANY University of Kassel Institute of Nanostructure Technologies and Analytics (INA) and Center for Interdisciplinary Nanostructure Science and Technology (CINSaT) Kassel GERMANY

This paper is dealing with redundant optoelectronic data transmission with special respect to laser channels. The concept of the generalized erasure channel (GEC) is used to determine the probability of undetected error for some binary symmetric and non-symmetric channels protected by appropriate codes. In detail, communication via different binary symmetric channels (BSCs), generalized erasure channels and symmetrized binary non symmetric channels (BNSCs) is investigated. Simple upper bounds are given, relating the new formulas to that one of the BSC Finally the results in connection with an inequality for proper codes are applied to multi wavelength optical transmission through channels generated by semiconductor lasers.

关键词： Data communication Semiconductor lasers Error probability Optical transmitters Protection Safety Wavelength division multiplexing Laser theory Upper bound Linear code

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Better learning of neural networks using functional graph for analysis of wireless network

Better learning of neural networks using functional graph fo...

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International Conference on computer and Communication engineering, ICCCE

作者： V. Joseph Raj Heren Chellam G. Stella Morris Department of Computer Engineering Faculty of Architecture and Engineering European University of Lefke North Cyprus Mersin 10 TURKEY Department of Computer Science Government Arts College for Women Alagappa University INDIA 3Department of Electrical and Computer Engineering Manukau Institute of Technology (M.I.T) Auckland NEW ZEALAND

Neural networks have been used as an effective method for solving many problems in a wide range of application areas. As neural networks are being more and more widely used in recent years, the need for their more formal definition becomes increasingly apparent. This paper presents a novel architecture of neural network models using the functional graph. The network creates a graph representation by dynamically allocating nodes to code local form attributes and establishing arcs to link them. In this paper application of functional graph in the architecture of electronic neural network, opto-electronic neural network and genetic neural network are detailed with experimental results. Learning is defined in terms of functional graph. The proposed architectures are applied in evaluating 3G wireless network performance.

关键词： Neural networks Wireless networks Artificial neural networks Biological neural networks Neurons Genetic algorithms computer networks computer architecture computer science Government

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Twin-Array Quasi FSS Reflector with Dual Band Cross-Dipole for 5G Base Station Antenna Application

Twin-Array Quasi FSS Reflector with Dual Band Cross-Dipole f...

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2023 International Conference on Power, Energy and Innovations, ICPEI 2023

作者： Santos, Ian Jerome Q. Tangjitjetsada, Maleeya Rakluea, Paitoon Wongsin, Norakamon Rakluea, Chawalit Mahatthanajatuphat, Chatree Chudpooti, Nonchanutt Thianthong, Tawan Rajamangala University of Technology Thanyaburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Thanyaburi Pathum Thani 12110 Thailand Rajamangala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Electronics and Telecommunication Engineering Nonthaburi Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Wongsawang Bangsue Bangkok10800 Thailand King Mongkut's University of Technology North Bnagkok Faculty of Applied Science Department of Industrial Physics and Medical Instrumentation Wongsawang Bangsue Bangkok10800 Thailand Siam Airport Ground Service Co. Ltd. Don Mueang Bangkok10210 Thailand

ISBN: (纸本)9798350344585

This article provides an explanation of the use of a Twin-Array Quasi Frequency Selective Surface (FSS) Reflector with Dual Band Cross-Dipole for antenna applications in 5G base stations. The base material employed in this study is FR4 sheet, which has a dielectric constant (ϵr) of 4.3. The antenna obtained has dimensions of 100x100 mm2 and functions throughout the frequency spectrum spanning from 730 to 860 MHz, 1700 to 2130 MHz. The primary benefits of this antenna design are its lightweight structural composition, compatibility with the frequency range of 730-860 MHz, and discernible performance attributes. The CST Studio Suite software was used to conduct a simulation of the antenna's performance. The antenna has an operating frequency range of 730-860 MHz and 1700-2130 MHz, enabling it to support a unidirectional wave propagation pattern that is suitable for the implementation of a 5G mobile communication base station. © 2023 IEEE.

关键词： Dipole antennas

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Flexible triangular formation keeping of marine robotic vehicles using range measurements 19

Flexible triangular formation keeping of marine robotic vehi...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Rego, Francisco Soares, Jorge M. Pascoal, António Aguiar, A. Pedro Jones, Colin Laboratory of Robotics and Systems in Engineering and Science Instituto Superior Técnico University of Lisbon Lisbon Portugal Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Porto Portugal Institute of Mechanical Engineering School of Engineering École Polytechnique Fédérale de Lausanne Lausanne Switzerland Distributed Intelligent Systems and Algorithms Laboratory School of Architecture Civil and Environmental Engineering École Polytechnique Fédérale de Lausanne Lausanne Switzerland National Institute of Oceanography Dona Paula Goa India

ISBN: (纸本)9783902823625

This paper addresses the problem of keeping an autonomous marine vehicle in a moving triangular formation by regulating its position with respect to two leader vehicles. The follower vehicle has no prior knowledge of the path described by the leaders but has access to their heading angle and is able to measure inter-vehicle ranges. It is assumed that the distance between the leaders is constant and known. A control strategy is adopted that generates speed and heading commands so as to drive suitably defined along track and cross track errors to zero. The commands are used as input to local inner loops for yaw and speed control. The paper describes the algorithms derived for range-based control and assesses their performance in simulations using realistic models of the vehicles involved. Tests with three autonomous marine vehicles equipped with acoustic modems and ranging devices allow for the evaluation of the performance of the algorithms in a real-world situation. © IFAC.

关键词： Vehicle performance

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Interpreting InGaP/GaAs DHBT Eye diagrams using small signal parameters

Interpreting InGaP/GaAs DHBT Eye diagrams using small signal...

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European (Formerly European Gallium Arsenide and Other Semiconductors Application Symposium - EGASS) Microwave Integrated Circuit Conference (EuMIC)

作者： D. B. Venkatesha S. Chitrashekaraiah A. A. Rezazadeh A. Thiede The Electromagnetics Research Centre for Microwave and mm-Wave Designs and Applications School of Electrical and Electronics University of Manchester Institute of Science and Technology Manchester UK Faculty of Computer Science Electrical Engineering and Mathematics Institute for Electrical Engineering and Information Technology Chair for High-Frequency Electronics University of Paderborn Paderborn Germany

In this paper we present measurement of eye patterns and their analysis for InGaP/GaAs DHBTs between 1 and 3 Gb/s PRBS signal. Eye diagrams have been measured and also simulated for comparison and further analysis. By adopting a robust direct parameter extraction technique all the small signal parameters of the DHBTs are deduced and are then used to simulate the corresponding eye patterns. The necessary procedure for simulating eye patterns is established in ADS so as the extraction of important eye parameters such as the eye height, amplitude, signal to noise ratio, rise and fall times. The eye parameters deteriorate with increase in frequency leading to the closure of the eye. An attempt has been made to recognise the main physical parameters of the device which influence the shape and formation of the eye diagrams and the observations has been discussed in this paper. These results provide an insight into device optimisation for user specified eye diagrams.

关键词： Gallium arsenide DH-HEMTs Signal generators Circuits Signal analysis Signal design Analytical models Shape Oscilloscopes Bit rate

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