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SSRN 2022年

作者： Roy, Bishwajit Malviya, Lokesh Mal, Sandip Kumar, Amrendra Kumar, Radhikesh Jahed Armaghani, Danial Kumar, Deepak Banerjee, Avishek School of Computer Science UPES Uttarakhand Dehradun248007 India School of SCSE VIT MP Bhopal466114 India Dept.of CE RIT UK Roorkee247667 India Dept. of CSE NIT Bihar Patna800001 India Department of Urban Planning Engineering Networks and Systems Institute of Architecture and Construction South Ural State Universit 76 Lenin Pros ect Chelyabinsk454080 Russia Dept. of CE NIT Bihar Patna800001 India Department of CSBS Asansol Engineering College Asansol713305 India

Due to the intricate nature of erodibility, sensitivity of soil particles and limited amount of data, the consequent modelling of soil wind erodibility is a challenging task for researchers. Therefore, the robust prediction of soil wind erodibility along with the sensitive factors is often an indispensable task. This study analyses portable wind tunnel-based measured wind erosion rate (gm −2 s −1 ) from 118 sites in Kerman Province, southeast Iran where 17 different predictors were considered for each site. This paper investigates the importance of a set of predictors which are most affected by soil erosion rate. Furthermore, this study proposes a novel an optimum feature selection-based heterogeneous ensemble meta-estimator (voting ensemble (VE)) for predicting wind erosion rate. A linear regression-based recursive feature elimination technique with 2-fold cross validation is used to identify the 7significant important predictors, called i) VFS (very fine sand), ii) CS (coarse sand), iii) VCS (very coarse sand), iv) GC (gravel coverage), v) MWD (mean weight diameter), vi) surface crust, and vii) moisture, that affects the soil erodibility rate. Then, a VE with 3 unfitted estimators is proposed, which averages the predictions of singleton estimators to enhance the prediction accuracy. The 3 singleton unfitted estimators, called support vector machine (linear kernel), random forest and gradient boosting machine, are used with grid search approach. The investigation identifies the surface crust as the most effective parameter in predicting soil erosion rate. © 2022, The Authors. All rights reserved.

关键词： Soils

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Creating a radiological database for automatic liver segmentation using artificial intelligence.

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European Journal of Surgical Oncology 2022年第2期48卷 e147-e148页

作者： Girnyi, Sergii Tomasz, Dziubich Brzeski, Adam Cychnerski, Jan Świetlik, Dariusz Woźniak, Jakub Szczecińska, Weronika Jaśkiewicz, Janusz Zielinski, Jacek Medical University of Gdansk Department of Surgical Oncology Gdansk Poland Gdansk University of Technology Faculty of Electronics- Telecommunications and Informatics - Department of Computer Architecture Gdansk Poland Medical University of Gdansk Department of Biostatistics and Neural Networks Gdansk Poland Medical University of Gdansk Medical University of Gdansk Gdansk Poland

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Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models

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IEEE Transactions on Vehicular Technology 2025年

作者： Liu, Chuanhong Guo, Caili Yang, Yang Chen, Mingzhe Quek, Tony Q. S. Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL United States Singapore University of Technology and Design Dept. of Information Systems Technology and Design 487372 Singapore

Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial computational demands of LAI models pose significant challenges for real-time communication scenarios. To address this, this paper proposes utilizing knowledge distillation (KD) techniques to extract and condense knowledge from LAI models, effectively reducing model complexity and computation latency. Nevertheless, the inherent complexity of LAI models leads to prolonged inference times during distillation, while their lack of channel awareness compromises the distillation performance. These limitations make standard KD methods unsuitable for task-oriented semantic communication scenarios. To address these issues, we propose a fast distillation method featuring a pre-stored compression mechanism that eliminates the need for repetitive inference, significantly improving efficiency. Furthermore, a channel adaptive module is incorporated to dynamically adjust the transmitted semantic information based on varying channel conditions, enhancing communication reliability and adaptability. In addition, an information bottleneck-based loss function is derived to guide the fast distillation process. Simulation results verify that the proposed scheme outperform baselines in term of task accuracy, model size, computation latency, and training data requirements. © 1967-2012 IEEE.

关键词： NP-hard

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States-Based Energy Management System for an EV Hybrid Charging Station with Z-Source Converters

States-Based Energy Management System for an EV Hybrid Charg...

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Power Tech Conference

作者： Enrique González-Rivera Pablo García-Triviño Luis M. Fernández-Ramirez Raúl Sarrias-Mena Juan P. Torreglosa Francisco Jurado Department of Electrical Engineering Research Group in Sustainable and Renewable Electrical Technologies (PAIDI-TEP-023) University of Cadiz Algeciras Spain Department of Engineering in Automation Research Group in Sustainable and Renewable Electrical Technologies (PAIDI-TEP-023) Electronics and Computer Architecture & Networks University of Cadiz Algeciras Spain Electrical Engineering Department University of Huelva Palos de la Frontera Spain Department of Electrical Engineering Research Group in Research and Electrical Technology (PAIDI- TEP-152) University of Jaen Linares Spain

ISBN: (数字)9781665435970

ISBN: (纸本)9781665411738

This work presents a new energy management system (EMS) based on states for a hybrid charging station of electric vehicles (EV). The hybrid charging station is composed of a photovoltaic (PV) system, a complete hydrogen system based on fuel cell (FC), electrolyzer (EZ) and tank as energy storage system (ESS), a battery energy storage system (BES), a grid connection, and six fast charging units, all of them connected to a common MVDC bus through Z-sources converters (ZSC). The states-based EMS is designed to control the power flow among the energy sources of the hybrid charging station. The viability of the EMS is proved under a long-term simulation of 25 years in Simulink by using an EV load profile taken from the Strategy Technology Energy Plan of the EU and real data for the sun irradiance.

关键词： Photovoltaic systems Renewable energy sources Costs Software packages Hydrogen Charging stations Hybrid power systems

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Fusing Bluetooth with Pedestrian Dead Reckoning: A Floor Plan-Assisted Positioning Approach

arXiv

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arXiv 2025年

作者： Pan, Wenxuan Yang, Yang Chen, Mingzhe Wei, Dong Guo, Caili Mao, Shiwen Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical and Computer Engineering the Institute for Data Science and Computing University of Miami Coral GablesFL33146 United States Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Wireless Engineering Research and Education Center Auburn University AuburnAL36849 United States

Floor plans can provide valuable prior information that helps enhance the accuracy of indoor positioning systems. However, existing research typically faces challenges in efficiently leveraging floor plan information and applying it to complex indoor layouts. To fully exploit information from floor plans for positioning, we propose a floor plan-assisted fusion positioning algorithm (FP-BP) using Bluetooth low energy (BLE) and pedestrian dead reckoning (PDR). In the considered system, a user holding a smartphone walks through a positioning area with BLE beacons installed on the ceiling, and can locate himself in real time. In particular, FP-BP consists of two phases. In the offline phase, FP-BP programmatically extracts map features from a stylized floor plan based on their binary masks, and constructs a mapping function to identify the corresponding map feature of any given position on the map. In the online phase, FP-BP continuously computes BLE positions and PDR results from BLE signals and smartphone sensors, where a novel grid-based maximum likelihood estimation (GML) algorithm is introduced to enhance BLE positioning. Then, a particle filter is used to fuse them and obtain an initial estimate. Finally, FP-BP performs post-position correction to obtain the final position based on its specific map feature. Experimental results show that FP-BP can achieve a real-time mean positioning accuracy of 1.19 m, representing an improvement of over 28% compared to existing floor plan-fused baseline algorithms. Copyright © 2025, The Authors. All rights reserved.

关键词： Photomapping

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A common-sense based system for Geo-IoT

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Procedia computer Science 2018年 126卷 665-674页

作者： Ruben Cantarero Ana Rubio Cristian Trapero Maria J. Santofimia Felix J. Villanueva David Villa Juan C. Lopez Computer Architecture and Networks Group University of Castilla-La Mancha Paseo de la Universidad 4 Ciudad Real Spain

This paper presents an architecture for smart buildings based on common-sense reasoning using the IndoorGML standard. The main objective is the construction of a knowledge model that allows inferring information that is not explicitly defined in that model. The main challenges addressed are: 1) the modeling of the concepts presented by the standard in the knowledge base used, known as Scone; 2) the automation of the introduction of knowledge in Scone with the proposed model; and 3) the implementation of a service-oriented architecture that makes possible to introduce knowledge in a transparent way. The semantic knowledge we present here, which shows more advanced and flexible capabilities, will make it possible in the future to carry out reasonings that not only depend on the structure of a building, but on many other aspects of the IoT such as sensors or actuators that are difficult to contemplate if a common sense approach is not followed.

关键词： Common sense Smart building Indoor spatial data models OGC IndoorGML Mapping Modelling IoT Geo-IoT Multi-Sensor Information System

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EVALUATION OF THE PUPIL RESPONSE AS A PREDICTIVE TOOL OF THE FUNCTIONAL ALTERATION OF THE LOCUS COERULEUS IN PAIN. COMPARISON BETWEEN ACUTE AND CHRONIC PAIN.

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IBRO Neuroscience Reports 2023年 15卷 S601-S601页

作者： Carolina López-Martín Sonia Torres-Sanchez Alejandro Lara-Doña Daniel Sanchez-Morillo Esther Berrocoso University of Cadiz Neuropsychopharmacology And Psychobiology Research Group Department Of Psychology Cadiz Spain Instituto de Investigación e Innovación en Ciencias Biomédicas de Cádiz Inibica Cádiz Spain University of Cadiz Neuropsychopharmacology And Psychobiology Research Group Department Of Neuroscience Cádiz Spain Centro de Investigación Biomédica en Red de Salud Mental Instituto De Salud Carlos Iii Madrid Spain University of Cádiz Biomedical Engineering And Telemedicine Research Group Department Of Engineering In Automation Electronics Architecture And Computer Networks Cádiz Spain

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Undesigning the internet: An exploratory study of reducing everyday internet connectivity 5th

Undesigning the internet: An exploratory study of reducing e...

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5th International Conference on Information and Communication Technology for Sustainability, ICT4S 2018

作者： Widdicks, Kelly Ringenson, Tina Pargman, Daniel Kuppusamy, Vishnupriya Lago, Patricia School of Computing and Communications Lancaster University United Kingdom School of Architecture and the Built Environment KTH Royal Institute of Technology Sweden School of Computer Science and Communication KTH Royal Institute of Technology Sweden Department of Sustainable Communication Networks University of Bremen Germany Department of Computer Science Vrije Universiteit Amsterdam Netherlands

Internet connectivity is seamlessly integrated into many of our everyday habits and activities. Despite this, previous research has highlighted that our rather excessive Internet use is not sustainable or even always socially beneficial. In this paper, we carried out an exploratory study on how Internet disconnection affects our everyday lives and whether such disconnection is even possible in today’s society. Through daily surveys, we captured what Internet use means for ten participants and how this varies when they are asked to disconnect by default, and re-connect only when their Internet use is deemed as necessary. From our study, we found that our participants could disconnect from the Internet for certain activities (particularly leisure focused), yet they developed adaptations in their lives to address the necessity of their Internet use. We elicit these adaptations into five themes that encompass how the participants did, or did not, use the Internet based on their necessities. Drawing on these five themes, we conclude with ways in which our study can inspire future research surrounding: Internet infrastructure limits;the promotion of slow values;Internet non-use;and the undesign of Internet services. © 2018, EasyChair. All rights reserved.

关键词： Leisure

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One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories

arXiv

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arXiv 2025年

作者： Hébert-Dufresne, Laurent Ahn, Yong-Yeol Allard, Antoine Crothers, Jessica W. Dodds, Peter Sheridan Galesic, Mirta Ghanbarnejad, Fakhteh Gravel, Dominique Hammond, Ross A. Lerman, Kristina Lovato, Juniper Openshaw, John J. Redner, S. Scarpino, Samuel V. St-Onge, Guillaume Tangherlini, Timothy R. Young, Jean-Gabriel Vermont Complex Systems Institute University of Vermont BurlingtonVT United States Translational Global Infectious Disease Research Center University of Vermont BurlingtonVT United States Department of Computer Science University of Vermont BurlingtonVT United States Center for Complex Networks and Systems Research Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN United States Département de physique de génie physique et d’optique Université Laval QuébecQC Canada Department of Pathology and Laboratory Medicine Robert Larner M.D. College of Medicine University of Vermont BurlingtonVT United States Santa Fe Institute Santa FeNM United States Complexity Science Hub Vienna Austria School of Technology and Architecture SRH University of Applied Sciences Heidelberg Leipzig Germany Département de biologie Université de Sherbrooke SherbrookeQC Canada Brown School Washington University in St. Louis St. LouisMO United States The Brookings Institution WashingtonDC United States Information Sciences Institute University of Southern California United States Division of Infectious Diseases and Geographic Medicine Stanford University StanfordCA United States Institute for Experiential AI Northeastern University BostonMA United States Laboratory for the Modeling of Biological and Socio-technical Systems Northeastern University BostonMA United States The Roux Institute Northeastern University PortlandME United States Department of Scandinavian School of Information University of California Berkeley BerkeleyCA United States Department of Mathematics & Statistics University of Vermont BurlingtonVT United States

From pathogens and computer viruses to genes and memes, contagion models have found widespread utility across the natural and social sciences. Despite their success and breadth of adoption, the approach and structure of these models remain surprisingly siloed by field. Given the siloed nature of their development and widespread use, one persistent assumption is that a given contagion can be studied in isolation, independently from what else might be spreading in the population. In reality, countless contagions of biological and social nature interact within hosts (interacting with existing beliefs, or the immune system) and across hosts (interacting in the environment, or affecting transmission mechanisms). Additionally, from a modeling perspective, we know that relaxing these assumptions has profound effects on the physics and translational implications of the models. Here, we review mechanisms for interactions in social and biological contagions, as well as the models and frameworks developed to include these interactions in the study of the contagions. We highlight existing problems related to the inference of interactions and to the scalability of mathematical models and identify promising avenues of future inquiries. In doing so, we highlight the need for interdisciplinary efforts under a unified science of contagions and for removing a common dichotomy between social and biological contagions. Copyright © 2025, The Authors. All rights reserved.

关键词： Histology

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Cluster analysis for Power Quality monitoring 11

Cluster analysis for Power Quality monitoring

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11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2017

作者： Florencias-Oliveros, Olivia Aguera-Perez, Agustin Gonzalez-De-La-Rosa, Juan-Jose Palomares-Salas, Jose-Carlos Sierra-Fernandez, Jose-Maria Montero, Alvaro Jimenez Spain Department of Automation Engineering Electronics Architecture Computer Networks Polytechnic School of Algeciras University of Cadiz Spain

ISBN: (纸本)9781509049639

This paper proposes a technique based in the graphical cluster analysis to be implemented in Smart Power Quality Analyzers (SPQA), a proposal Instrument Class S, according to the standard UNE-EN 61000-4-30, with the goal of monitoring electrical grids where new events arise as a consequence of the penetration of new energy resources. In the presence of an electrical fault the instrument triggers the measurement procedure, according to a settled threshold of the PQ, and calculates the higher-order statistics (HOS) features in the time domain that enable the classification. Performance results over a battery of 160 signals show two clusters (sags and transients), with an acceptable accuracy of 80%. The work also presents the concept of the uncertainty inter-cluster area. The analysis of the intensity cluster disturbances helps the grid operator characterizing better the database and introducing some qualitative criteria for monitoring the smart grid. © 2017 IEEE.

关键词： Power quality

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