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9th International Conference on Web Information Systems and Technologies, WEBIST 2013

作者： Makris, Christos Plegas, Yannis Tzimas, Giannis Viennas, Emmanouil Department of Computer Engineering and Informatics University of Patras Patras Greece Department of Applied Informatics in Management and Economy Faculty of Management and Economics Technological Educational Institute of Messolonghi Messolonghi Greece

ISBN: (纸本)9789898565549

Α novel framework is presented for performing re-ranking in the search results of a Web search engine, incorporating user judgments as registered in their selection of relevant documents. The proposed scheme combines smoothly techniques from the area of Inference Networks with text processing techniques exploiting semantic information, and is instantiated to a fully functional prototype at present leading to a reranking whose quality outperforms significantly the initial ranking. The innovative idea is the use of a probabilistic network based to the senses of the documents. When the user selects a document, the belief of the network to the senses of the selected document is raised up and the documents that contain these senses are ranked higher. Also we present an implemented prototype that supports three different Web search engines (and it can be extended to support many more), while extensive experiments in the ClueWeb09 dataset using the TREC's 2009, 2010 and 2011 Web Tracks' data depict the improvement in search performance that the proposed approach attains. Copyright © 2013 SCITEPRESS.

关键词： Semantics

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The Calibration of Single Beam Distance Sensors based on Machine Learning Methods

The Calibration of Single Beam Distance Sensors based on Mac...

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2023 IEEE International Conference on Big Data, BigData 2023

作者： Biernacki, Piotr Ziebinski, Adam Syu, Jia-Hao Lin, Jerry Chun-Wei Silesian University of Technology Institute of Theoretical and Applied Informatics Polish Academy of Sciences Institute of Informatics Gliwice Poland Silesian University of Technology Institute of Informatics Gliwice Poland National Taiwan University Department of Computer Science and Information Engineering Taipei Taiwan

ISBN: (纸本)9798350324457

Smart cities require the use of many different types of sensors to make the communication, and distance sensors are one of the most commonly used elements in transportation systems and related infrastructures. The introduction of increasingly advanced autonomous systems in many areas of smart cities requires high measurement precision of the sensors used. High precision is essential for proper operation, long-term use, and safety in machine-to-machine or machine-to-human interactions. This paper presents a comparison of the accuracy of distance measurements for two commercially available single-beam LiDARs and two ultrasonic sensors. The aim of the research was to develop a calibration method in order to improve the accuracy of distance sensors. Based on the collected distance measurements, the sensors were calibrated using selected machine learning algorithms. The results of the experiments show the effectiveness of the proposed calibration methods, which yield an average mean absolute error (MAE) of 1.76 E-05 meters (m) and a root mean square error (RMSE) of 1.33 E-04 m for the tested sensors. © 2023 IEEE.

关键词： machine learning sensors calibration single-beam distance sensors

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Integrating V2X solutions in intelligent green cities: an AI-driven point exchange system approach

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Neural Computing and Applications 2025年

作者： Talaat, Fatma M. Shaban, Warda M. ZainEldin, Hanaa Badawy, Mahmoud Elhosseini, Mostafa Faculty of Artificial Intelligence Kafrelsheikh University Kafrelsheikh Egypt Faculty of Computer Science & Engineering New Mansoura University Gamasa35712 Egypt Department of Communication and Electronics Engineering Nile Higher Institute for Engineering and Technology Mansoura Egypt Faculty of Artificial Intelligence and informatics Horus University New Damietta Egypt Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt Computer Science and Information Department Applied College Taibah University Madinah42353 Saudi Arabia College of Computer Science and Engineering Taibah University Yanbu46421 Saudi Arabia

With rapid urbanization, smart cities have become essential for enhancing urban management and sustainability by integrating technological, social, and institutional innovations. Among these innovations, vehicle-to-everything (V2X) communications and electric vehicles (EVs) play a critical role in reducing carbon emissions and optimizing urban mobility. To address the existing gaps in holistic V2X integration, this paper presents a novel eco-assistive fog-based traffic management system (EAFTMS) that leverages a four-tier architecture (IoT, fog, cloud, and application) for scalable, real-time traffic optimization. A key innovation of this system is the AI-driven point exchange system (PES), designed to incentivize sustainable behaviors such as reducing unnecessary vehicle usage and promoting green lifestyle choices. Unlike conventional models, the proposed framework incorporates real-time behavioral monitoring, rewards-based sustainability programs, and V2X-enabled dynamic traffic control. Empirical validation demonstrates that EAFTMS outperforms existing models, including support vector regression (SVR), achieving a 30% reduction in latency, a 40% improvement in response time, a 25% increase in traffic flow efficiency, and a 35% reduction in CO2 emissions. These results highlight the framework’s potential to set new standards in intelligent green cities by offering scalable, practical, and environmentally impactful solutions to urban transportation challenges. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Urban transportation

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AI Based Prediction for Heart Disease: A Comparative Analysis and an Improved Machine Learning Approach 6

AI Based Prediction for Heart Disease: A Comparative Analysi...

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6th Asian Conference on Artificial Intelligence Technology, ACAIT 2022

作者： Raval, Jay Verma, Jai Prakash Islam, Sardar N.M. Jain, Rachna Thakur, Narina Institute of Technology Nirma University Computer Science Engineering Department Ahmedabad India Victoria University Applied Informatics Research Melbourne Australia Bhagwan Parshuram Institute of Technology Department of Computer Science and Engineering Delhi India

ISBN: (纸本)9781665453110

Heart disease problems are growing day by day in the world. Many factors are responsible for increasing the chance of heart attack and any other disease. Many countries have a low level of cardiovascular competence in predicting heart disease-related issues. Finding the best accurate machine learning classifiers for various diagnostic uses by data mining and machine learning techniques aids in predicting whether or not the heart disease-related issue will occur. To predict heart disease, a number of supervised machine-learning algorithms are used and their effectiveness are evaluated. With the exceptionof MLP and KNN, all applied algorithms had their estimated feature significance scores for each feature. This helps to find the main factors affecting heart disease and the accuracy of the model, which helps to get the best prediction. At the end of the research the support vector machine gives us 87.91 % highest testing accuracy compare with all applied machine learning algorithm. © 2022 IEEE.

关键词： Data mining

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Proposing a novel monitoring and early notification system for heart diseases

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4th International Conference on Information Technology in Bio- and Medical informatics, ITBAM 2013

作者： Sourla, Efrosini Tsakalidis, Athanasios Tzimas, Giannis Department of Computer Engineering and Informatics School of Engineering University of Patras 26500 Patras Greece Department of Applied Informatics in Management and Economy Faculty of Management and Economics Technological Educational Institute of Messolonghi 30200 Messolonghi Greece

ISBN: (纸本)9783642400926

The spectacular penetration of Smartphones has introduced a new field of software applications' development. The constantly growing use of mobile applications for medicine, enables complete and systematic monitoring of chronic diseases for both health professionals and patients. In this work, an integrated system is presented for lifelong cardiologic patient monitoring, early detection and optimal management of emergency cases. The key features of the proposed system are: (a) management of emergency cases where the patient sends a chief complaint and the cardiologist evaluates the situation and proceeds to a series of actions, (b) management of patients' EMRs, (c) recording of patients' measurements of vital signs performed at home in regular basis and (d) interconnection to Microsoft HealthVault platform. Our system's contribution lies in: (a) optimal patient monitoring at home and early response in cases of emergency, (b) enhanced communication between collaborating parties and (c) maintenance of detailed medical data repositories, in common format, for scientific research. © 2013 Springer-Verlag.

关键词： Cardiology

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Application of Blockchain Technologies to Improve the Quality of Microgrid Network Management 5

Application of Blockchain Technologies to Improve the Qualit...

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5th International Conference on Blockchain Computing and Applications, BCCA 2023

作者： Khilenko, Volodymyr Bielokha, Halina Denysiuk, Sergii Kotuliak, Ivan Ries, Michal Institute of Computer Engineering and Applied Informatics Faculty of Informatics and Information Technologies Slovak University of Technology in Bratislava Bratislava Slovakia National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Kyiv Ukraine

ISBN: (纸本)9798350339239

The use of blockchain technologies and Smart contracts to improve the quality of Microgrid network management is considered. The necessity of using a special mathematical apparatus for system analysis is noted, taking into account the nonlinear nature of dynamic processes in the network and, in particular, the presence of sharply changes in the load. The advantages and disadvantages of the approach known in the literature are analyzed, when the search for the optimal power distribution among generators to ensure the minimum costs of the Microgrid is carried out on the basis of nonlinear programming methods. Graphs of transient processes in the network are given and their corresponding analysis is carried out. © 2023 IEEE.

关键词： Smart contract

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Bird's Eye View on Systems and Control - General View and Case Studies

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IFAC-PapersOnLine 2016年第6期49卷 274-279页

作者： Vámos, T. Bars, R. Sik, D. Institute of Computer Science and Control Hungarian Academy of Sciences MTA-SZTAKI Budapest Hungary Dept. of Automation and Applied Informatics Budapest University of Technology and Economics MTA-BME Control Engineering Research Group Budapest Hungary

Systems and control are all around us. System view, understanding systems and how they are controlled is important for everyone. The behavior of systems is determined by some fundamental principles which can be understood by everyone. The main principles governing systems and control are presented on different levels. The first level is dedicated for everyone. Comics-like interpretation is provided with explanations. The second level discusses the main topics dedicated for the interested students. Several case studies demonstrate how system view is considered in different areas of life. With this approach systems in different areas of life could be better understood contributing to better decisions influencing their performance. The third level provides deeper insight into some aspects of modern mathematical system theory, to geometric view of control systems. The material is available on a website on the internet. © 2016

关键词： Control theory Algorithms Case studies Control disciplines Control education Control structure Systems and control

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The DILIGENT knowledge processes

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Journal of Knowledge Management 2005年第5期9卷 85-96页

作者： Vrandečić, Denny Pinto, Sofia Tempich, Christoph Sure, York University of Karlsruhe Institute of Applied Informatics and Formal Description Methods 76128 Karlsruhe Germany Department of Computer Science and Engineering Instituto Superior Tecnico Technical University of Lisbon Lisbon Portugal Institute of Applied Computer Science and Formal Description Methods University of Karlsruhe 76128 Karlsruhe Germany

Purpose - Aims to present the ontology engineering methodology DILIGENT, a methodology focussing on the evolution of ontologies instead of the initial design, thus recognizing that knowledge is a tangible and moving target. Design/methodology/approach - First describes the methodology as a whole, then detailing one of the five main steps of DILIGENT. The second part describes case studies, either already performed or planned, and what we learned (or expect to learn) from them. Findings - With the case studies it was discovered the strengths and weaknesses of DILIGENT. During the evolution of ontologies, arguments need to be exchanged about the suggested changes. Identifies those kind of arguments which work best for the discussion of ontology changes. Research implications - DILIGENT recognizes ontology engineering methodologies like OnToKnowledge or Methontology as proven useful for the initial design, but expands them with its strong focus on the user-centric further development of the ontology and the provided integration of automatic agents in the process of ontology evolution. Practical implications - With DILIGENT the experience distilled from a number of case studies and offers the knowledge manager a methodology to work in an ever-changing environment. Originality/value - DILIGENT is the first methodology to put focus not on the initial development of the ontology, but on the user and his usage of the ontology, and on the changes introduced by the user. We take the user's own view seriously and enable feedback towards the evolution of the ontology, stressing the ontology's role as a shared conceptualisation. © Emerald Group Publishing Limited.

关键词： computer applications Knowledge management systems Semantics User interfaces

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Advanced Communication System for Rich and Green Smart Grid Networking

Advanced Communication System for Rich and Green Smart Grid ...

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IEEE PES 2nd Latin American Conference on Innovative Smart Grid Technologies (ISGT Latin America)

作者： Silva, Helber Neto, Augusto Cerqueira, Eduardo Dantas, Felipe Barros, Hugo Almeida, Everton Department of Informatics Federal Institute of Rio Grande Do Norte Brazil Department of Informatics Engineering (DETI) Federal University of Ceará Brazil Telecommunications Institute (IT) Aveiro Portugal Computer Engineering (ENGCOMP) Federal University of Pará Brazil Department of Informatics and Applied Mathematics (DIMAp) Federal University of Rio Grande Do Norte Brazil

ISBN: (纸本)9781467352741;9781467352727

Future Green Smart Grids are expected to support sustainable, safe, robust, efficient and intelligent production, distribution and consumption of electric energy. However, evolving immaturity and issues restrict their development, confronting interoperability and reducing the reliability of the power grid. Innovating networking capabilities are of paramount to provide rich Smart Grid networking, while keeping the system performance in large scale scenarios. In view of this, we designed the Session-Oriented Communication System (SOCSys) solution for dependable IP-based Smart Grid networking over a wireless mesh QoS-aware information network. In this paper, we propose the Advanced SOCSys (ASOCSys), extending our previous work with network-centric functionalities. ASOCSys aims at improving IP-based Smart Grid networking through group-based session admission control and rich networking IEEE 802.16 compliant information network. Simulation results show that ASOCSys outperforms standards currently considered for Smart Grids, in terms of throughput, latency and propagation delay, while consuming low network resources.

关键词： Smart Grid networking Quality of Service dependable wireless communications Group-based driven admission control

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A computational framework for Carreau nanomaterial induced by stretchy regime considering Brownian diffusion, viscous dissipation, ferromagnetism and thermophoresis

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Partial Differential Equations in applied Mathematics 2025年 13卷

作者： Hussain, Iftikhar Khan, Waqar Azeem Tabrez, Muhammad Waqas, M. Ibrahim, Talib K. Saidani, Taoufik Kausar, M.S. Zamri, Nurnadiah Abdullaeva, Barno Garalleh, Hakim AL Department of Mathematics Mohi-ud-Din Islamic University Nerian Sharif Jammu and Kashmir Azad 12010 Pakistan School of Mathematics and Statistics Beijing Institute of Technology Beijing 100081 China NUTECH School of Applied Sciences and Humanities National University of Technology Islamabad 44000 Pakistan Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Besut Campus Terengganu Besut 22200 Malaysia Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon Department of Petroleum Engineering College of Engineering Knowledge University Erbil 44001 Iraq Department of Petroleum Engineering Al-Kitab University Altun Kupri Iraq Center for Scientific Research and Entrepreneurship Northern Border University Arar 73213 Saudi Arabia Faculty of Informatics and Computing Universiti Sultan Zainal Abidin (Kampus Gong Badak) Terengganu Kuala Terengganu 21300 Malaysia Department of Mathematics and Information Technologies Vice-Rector for Scientific Affairs Tashkent State Pedagogical University Tashkent Uzbekistan Department of Mathematical Science College of Engineering University of Business and Technology Jeddah 21361 Saudi Arabia

In recent decade, the research in nanotechnology brought the idea of nanofluids which are highly conducting materials. Some important applications of nanofluids are justified in pharmaceutical industry, coolants in vehicles engine, preparation process of various medicines for treatment of fatal diseases like cancer, aircraft industry, latest heat exchangers etc. The ferro particles are special class of nanomaterial which attract variety of interest from the researchers. The objective of current research is to perform the investigation for heat and mass transfer subject to Carreau nanofluid to observe the enhancement of heat transmission phenomena. The induction of magnetic dipole has been observed for thermal transport phenomenon. The flow is causing by stretched surface. A simplified system is obtained by utilizing the dimensionless variables. Physical interpretation of results have been presented. Result showed that temperature profile in presence of ferrofluid fluid boosts up with escalation in thermophoresis parameter, while opposite behavior is noted for power law index. The concentration of ferrofluid showing declining behavior for Schmidt numbers and rises for thermophoresis parameter. © 2024

关键词： Carreau ferrofluid Heat and mass transfer Magnetic dipole Numerical solution

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