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Interactive cloud system for the analysis of accessibility in smart cities

International Journal of Design and Nature and Ecodynamics 2016年第3期11卷 447-458页

作者： Mora, H. Gilart-Iglesias, V. Pérez-Delhoyo, R. Andujar-Montoya, M.D. Compañ Gabucio, H.J. Specialized Processors Architecture Laboratory Department of Computer Technology and Computation University of Alicante Spain Department of Building Science and Urbanism University of Alicante Spain

Recent technological progress has enabled the spread of Information and Communication Technologies (ICT) to new applications possible with the aim to improve citizens' quality of life. This idea has been significantly increasing in political agendas as well as in the public services. The concepts of Smart-city or Sustainable-city are possible thanks to the application of technology. The focus of this work is on people with movement disabilities and the goal of the whole system is to meet their real needs and requirements. As a result, this article presents the possibilities offered by new ICTs to design a method for generating knowledge about accessibility issues in urban environments. In this sense, a comprehensive system aided by technology is proposed to analyse the transportation accessibility in a city. The research tries to make visible the most vulnerable groups of citizens, involving them as active participants and to serve as a way of social awareness. It aims to improve the knowledge of the current accessibility level and to improve the interaction and learning of all actors and groups involved - government, institutions, researchers, professionals, people with disabilities and other individuals of society in general. To perform and implement the system, the latest advances in technologies such as GPS positioning, geographic information systems, smart sensing and cloud computing have been used. The combination of all these technologies allows an interactive, dynamic and constantly updated approach. © 2016 WIT Press.

关键词： Smart city

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CUDA 2D stencil computations for the Jacobi method

CUDA 2D stencil computations for the Jacobi method

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10th International Conference on Applied Parallel and Scientific Computing, PARA 2010

作者： Cecilia, José María García, José Manuel Ujaldón, Manuel Computer Engineering and Technology Department University of Murcia Spain Computer Architecture Department University of Malaga Spain

ISBN: (纸本)9783642281501

We are witnessing the consolidation of the GPUs streaming paradigm in parallel computing. This paper explores stencil operations in CUDA to optimize on GPUs the Jacobi method for solving Laplace's differential equation. The code keeps constant the access pattern through a large number of loop iterations, that way being representative of a wide set of iterative linear algebra algorithms. Optimizations are focused on data parallelism, threads deployment and the GPU memory hierarchy, whose management is explicit by the CUDA programmer. Experimental results are shown on Nvidia Teslas C870 and C1060 GPUs and compared to a counterpart version optimized on a quadcore Intel CPU. The speed-up factor for our set of GPU optimizations reaches 3-4x and the execution times defeat those of the CPU by a wide margin, also showing great scalability when moving towards a more sophisticated GPU architecture and/or more demanding problem sizes. © 2012 Springer-Verlag.

关键词： Iterative methods

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Fake News Classification: Past, Current, and Future

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computers, Materials & Continua 2023年第11期77卷 2225-2249页

作者： Muhammad Usman Ghani Khan Abid Mehmood Mourad Elhadef Shehzad Ashraf Chaudhry Department of Computer Science University of Engineering and TechnologyLahore54890Pakistan Department of Computer Science&Information Technology Abu Dhabi UniversityAbu Dhabi59911United Arab Emirates Department of Software Engineering Faculty of Engineering and ArchitectureNisantasi UniversityIstanbulTurkey

The proliferation of deluding data such as fake news and phony audits on news web journals,online publications,and internet business apps has been aided by the availability of the web,cell phones,and social *** can quickly fabricate comments and news on social *** most difficult challenge is determining which news is real or ***,tracking down programmed techniques to recognize fake news online is *** an emphasis on false news,this study presents the evolution of artificial intelligence techniques for detecting spurious social media *** study shows past,current,and possible methods that can be used in the future for fake news *** different publicly available datasets containing political news are utilized for performing *** supervised learning algorithms are used,and their results show that conventional Machine Learning(ML)algorithms that were used in the past perform better on shorter text *** contrast,the currently used Recurrent Neural Network(RNN)and transformer-based algorithms perform better on longer ***,a brief comparison of all these techniques is provided,and it concluded that transformers have the potential to revolutionize Natural Language Processing(NLP)methods in the near future.

关键词： Supervised learning algorithms fake news classification online disinformation transformers recurrent neural network(RNN)disinformation transformers recurrent neural network(RNN)

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Early prediction of thewinner in starcraft matches 9

Early prediction of thewinner in starcraft matches

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9th International Joint Conference on Computational Intelligence, IJCCI 2017

作者： Álvarez-Caballero, Antonio Merelo, J.J. Sánchez, Pablo García Fernández-Ares, A. Department of Computer Architecture and Computer Technology University of Granada Spain Department of Computer Science University of Cádiz Spain

ISBN: (纸本)9789897582745

A fast and precise prediction of the outcome of a game is essential for the design of bots that play the game;it can be used either offline as a fast way to design bot strategies or online for conserving resources and conceding defeat or speed up victory, as well as evaluating the consequences of actions. The objective of this paper is predicting the winner of a StarCraft match as soon as possible. This study is done with supervised learning, because a lot of suitable data is available. The main problem of this approach is the big amount of generated data, so it has to be selected and organised properly and be treated with proper tools. A set of six learning algorithms is used, from simpler ones to more complex algorithms. Spark and MLlib are used due to their capabilities to deal with big amounts of data. With the learned models, time of matches are restricted, trying to get a time bound for predicting results. With this approach we get that it is not necessary to play a whole match to predict its winner with high accuracy: with 10 minutes we can predict the outcome with 90% of accuracy. Copyright © 2017 by SCITEPRESS - Science and technology Publications, Lda. All rights reserved.

关键词： Forecasting

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IALF-YOLO: Insulator defect detection method combining improved attention mechanism and lightweight feature fusion network

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Measurement: Journal of the International Measurement Confederation 2025年 253卷

作者： Mei, Zhiyu Xu, Hongzhen Yan, Liyue Wang, Kafeng School of Software East China University of Technology Nanchang330013 China School of Architecture and Urban Planning Shenzhen University Shenzhen518061 China Department of Computer Science and Technology Tsinghua University Beijing100084 China

Effect and efficient insulator defect detection is critical for advancing smart grid technologies. Current deep learning-based methods face limitations in small-object recognition accuracy, insufficient key feature extraction, and high computational complexity, which restrict their application in grid inspections. We propose IALF-YOLO, an improved YOLOv5s-based model, to address these problems. Firstly, by fusing the shallow feature map of Backbone and the deep feature map of Neck, a detection layer dedicated to small objects is created in Head, significantly improving small objects’ detection accuracy. Secondly, a S-CBAM attention mechanism is proposed, which addresses the issue of feature information loss in conventional CBAM by synchronizing the extraction channel with spatial attention. Finally, the lightweight GSConv module replaces the convolutional layer in the Neck network to construct a lightweight feature fusion network, which improves detection accuracy while reducing model complexity and the number of parameters. Our method improves mAP by 2.8% and 2.5% on both datasets, respectively. The detection speed is 2× faster than other methods. © 2025 Elsevier Ltd

关键词： Leak detection

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Analyzing approaches for network interface design by HDL simulation

Analyzing approaches for network interface design by HDL sim...

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IASTED International Conference on Parallel and Distributed Computing and Networks, PDCN 2009

作者： Haider, Waseem M. Ortega, Julio Díaz, Antonio Francisco Department of Computer Architecture and Technology University of Granada 18071 Granada Spain

ISBN: (纸本)9780889867840

This paper analyzes two alternatives to optimize the network interface performance that take advantage of the interface tasks parallelization among the different processing cores available in the server nodes. The first alternative corresponds to the implementation of the main part of the communication tasks on a processor located in the NIC (offloading), while the second one considers the use of cores on a CMP or SMP to execute the network interface (onloading). Our approach to evaluate and compare the considered alternatives is based on simulation of their corresponding HDL (Hardware Description Language) models. The obtained experimental results have been explained by using the previously proposed LAWS and EMO theoretical models.

关键词： computer hardware description languages

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Evaluation of path based methods for conceptual representation of the text

Evaluation of path based methods for conceptual representati...

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21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014

作者： Kucharczyk, Lukasz Szymański, Julian Department of Computer Systems Architecture Gdańsk University of Technology Poland

ISBN: (纸本)9783319083254

Typical text clustering methods use the bag of words (BoW) representation to describe content of documents. However, this method is known to have several limitations. Employing Wikipedia as the lexical knowledge base has shown an improvement of the text representation for data-mining purposes. Promising extensions of that trend employ hierarchical organization of Wikipedia category system. In this paper we propose three path-based measures for calculating document relatedness in such conceptual space and compare them with the Path Length widely used approach. We perform their evaluation using the OPTICS clustering algorithm for categorization of keyword-based search results. The results have shown that our method outperforms the Path-Length approach. © 2014 Springer International Publishing.

关键词： Clustering algorithms

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A Computational Framework for Realistic Retina Modeling

A Computational Framework for Realistic Retina Modeling

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作者： Martínez-Cañada, Pablo Morillas, Christian Pino, Begoña Ros, Eduardo Pelayo, Francisco Department of Computer Architecture and Technology CITIC-UGR University of Granada Spain

Computational simulations of the retina have led to valuable insights about the biophysics of its neuronal activity and processing principles. A great number of retina models have been proposed to reproduce the behavioral diversity of the different visual processing pathways. While many of these models share common computational stages, previous efforts have been more focused on fitting specific retina functions rather than generalizing them beyond a particular model. Here, we define a set of computational retinal microcircuits that can be used as basic building blocks for the modeling of different retina mechanisms. To validate the hypothesis that similar processing structures may be repeatedly found in different retina functions, we implemented a series of retina models simply by combining these computational retinal microcircuits. Accuracy of the retina models for capturing neural behavior was assessed by fitting published electrophysiological recordings that characterize some of the best-known phenomena observed in the retina: adaptation to the mean light intensity and temporal contrast, and differential motion sensitivity. The retinal microcircuits are part of a new software platform for efficient computational retina modeling from single-cell to large-scale levels. It includes an interface with spiking neural networks that allows simulation of the spiking response of ganglion cells and integration with models of higher visual areas. © 2016 World Scientific Publishing Company.

关键词： Cells

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Interactive information retrieval algorithm for wikipedia articles

Interactive information retrieval algorithm for wikipedia ar...

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13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012

作者： Szymański, Julian Department of Computer Systems Architecture Gdańsk University of Technology Poland

ISBN: (纸本)9783642326387

The article presents an algorithm for retrieving textual information in documents collection. The algorithm employs a category system that organizes the repository and using interaction with the user improves search precision. The algorithm was implemented for simple English Wikipedia and the first evaluation results indicates the proposed method can help to retrieve information from large document repositories. © 2012 Springer-Verlag.

关键词： Text processing

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Performance monitoring of a solar photovoltaic power plant using an advanced real-time system 16

Performance monitoring of a solar photovoltaic power plant u...

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16th International Conference on Environment and Electrical Engineering, EEEIC 2016

作者： Moreno-Garcia, Isabel M. Palacios-Garcia, Emilio J. Santiago, Isabel Pallares-Lopez, Victor Moreno-Munoz, Antonio Department of Computer Architecture Electronics and Electronic Technology University of Cordoba Spain

ISBN: (纸本)9781509023196

This paper presents a novel system which has been developed to supervise in real time the operation of a Grid-Connected Utility-Scale PV Power Plant in order to ensure a reliable and uninterruptible power supply. The system is composed of a complex acquisition architecture which measures the required information with a high temporal resolution and using a high-precision protocol for synchronizing all the devices, something strictly necessary for accurately establishing a relationship among all events taking place in the plant. Moreover, an advanced system for monitoring and supervising all the distributed devices, as well as for the real-time treatment of all the registered information is presented. This system does not only enable a better control over the performance of all the PV plant's components by detecting any failures or deviations in production, but it also monitors the power quality of the injected signal and its influence on the distribution grid. © 2016 IEEE.

关键词： Power quality

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