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IEEE INFOCOM 2010

作者： Chen, Lin Iellamo, Stefano Coupechoux, Marceau Godlewski, Philippe CNRS University of Paris-Sud XI 91405 Orsay France Dpt. Electronics and Information Politecnico di Milano Piazza L. da Vinci 32 Milan Italy Dpt. Computer Science and Networking Telecom ParisTech LTCI CNRS 5141 46 Rue Barrault Paris 75013 France

ISBN: (纸本)9781424458363

Extensive research in recent years has shown the benefits of cognitive radio technologies to improve the flexibility and efficiency of spectrum utilization. This new communication paradigm, however, requires a well-designed spectrum allocation mechanism. In this paper, we propose an auction framework for cognitive radio networks to allow unlicensed secondary users (SUs) to share the available spectrum of licensed primary users (PUs) fairly and efficiently, subject to the interference temperature constraint at each PU. To study the competition among SUs, we formulate a non-cooperative multiple-PU multiple-SU auction game and study the structure of the resulting equilibrium by solving a non-continuous two-dimensional optimization problem. A distributed algorithm is developed in which each SU updates its strategy based on local information to converge to the equilibrium. We then extend the proposed auction framework to the more challenging scenario with free spectrum bands. We develop an algorithm based on the no-regret learning to reach a correlated equilibrium of the auction game. The proposed algorithm, which can be implemented distributedly based on local observation, is especially suited in decentralized adaptive learning environments as cognitive radio networks. Finally, through numerical experiments, we demonstrate the effectiveness of the proposed auction framework in achieving high efficiency and fairness in spectrum allocation. ©2010 IEEE.

关键词： Efficiency

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Thermal Properties of Refractory SWCNT-Based Nanocomposites Investigated by Automated Approach 17

Thermal Properties of Refractory SWCNT-Based Nanocomposites ...

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17th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and computer engineering, TCSET 2024

作者： Zhydenko, Illia Klym, Halyna Karbovnyk, Ivan Kostiv, Yuriy Vasylchyshyn, Ivanna Chalyy, Dmytro Lviv State University of Life Safety Department of fire tactics and emergency rescue work Lviv Ukraine Lviv Polytechnic National University Specialized Computer Systems Dpt. Lviv Ukraine Ivan Franko National University of Lviv Radiophysics and Computer Technology Dpt. Lviv Ukraine Lviv Polytechnic National University Information Technology Security Dpt. Lviv Ukraine Lviv Polytechnic National University Department of Theoretical and General Electrical Engineering Lviv Ukraine

ISBN: (纸本)9798331520564

Thermal properties of refractory nanocomposites with embedded single-walled carbon nanotubes were investigated using proposed automated approach. In this approach, differences in nanocomposites with varying parameters, observed under temperature differentials and thermal loads, are highlighted. These findings are crucial for their integration into sensor systems and for applications requiring enhanced fire resistance. The results indicate that nanocomposites with a nanotube dispersion time of 2 hours exhibit a peak temperature difference of 55 'C, while those with a 1-hour dispersion time show a maximum difference of 50 °C. A comparative analysis of heat transfer dynamics suggests that extending the dispersion time by 1 hour increases fire resistance by 15%. © 2024 IEEE.

关键词： Nanoclay

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Confidence of agreement among multiple LVCSR models and model combination by SVM

Confidence of agreement among multiple LVCSR models and mode...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Takehito Utsuro Yasuhiro Kodama Tomohiro Watanabel Hiromitsu Nishizakil Seiichi Nakagawa Dpt. Intelligence Science and Technology Kyoto University Japan Dpt. Information and Computer Sciences Toyohashi University of Technology

ISBN: (纸本)0780376633

For many practical applications of speech recognition systems, it is quite desirable to have an estimate of confidence for each hypothesized word. Unlike previous works on confidence measures, we have proposed features for confidence measures that are extracted from outputs of more than one LVCSR models. For further analysis of the proposed confidence measure, this paper examines the correlation between each word's confidence and the word's features such as its part-of-speech and syllable length. We then apply SVM learning technique to the task of combining outputs of multiple LVCSR models, where, as features of SVM learning, information such as the pairs of the models which output the hypothesized word are useful for improving the word recognition rate. Experimental results show that the combination results achieve a relative word error reduction of up to 72 % against the best performing single model and that of up to 36 % against ROVER.

关键词： Support vector machines Speech recognition Automatic speech recognition Voting Length measurement Acoustic measurements Machine learning Informatics Application software Data mining

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What do we need to know about clones? deriving information needs from user goals

What do we need to know about clones? deriving information n...

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International Workshop on Software Clones (IWSC)

作者： Hamid Abdul Basit Muhammad Hammad Stan Jarzabek Rainer Koschke Computer Science Dpt. LUMS Lahore Pakistan Punjab Information Technology Board (PITB) Lahore Pakistan Computer Science Dpt. NUS Singapore Dpt. of Mathematics and Informatics University of Bremen Germany

Clone detection can be used to achieve diverse objectives such as refactoring, program understanding, bug localization, and plagiarism detection, etc. Each goal takes a different perspective on clone information needs. Different clone detection tools report different information about clones. To gauge the suitability of a given clone detector for a particular user objective, we need to determine which information needs implied by the objective a clone detector addresses. In this paper, we make a first step toward gathering clone information needs from the description of user goals. The results of our analysis are useful for various stakeholders such as programmers, managers, tool developers, and researchers.

关键词： Cloning Software Context Quality assessment Ontologies Plagiarism Libraries

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Semantic web access prediction using WordNet

Semantic web access prediction using WordNet

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International Conference on Web engineering, ICWE 2009 Doctoral Consortium - In Conjunction with ICWE 2009

作者： Hapalova, Lenka Dpt. of Computer Science and Engineering Faculty of Electrical Engineering Czech Technical University in Prague Karlovo nám. 13 121 35 Prague 2 CZ Czech Republic

The user observed latency of retrieving Web documents is one of limiting factors while using the Internet as an information data source. Prefetching became important technique to reduce the average Web access latency. Existing prefetching methods are based predominantly on URL graphs. They use the graphical nature of HTTP links to determine the possible paths through a hypertext system. Although the URL graph-based approaches are effective in the prefetching of frequently accessed documents, few of them can pre-fetch those URLs that are rarely visited. In our paper we aim to propose a new prefetching algorithm that would increase the efficiency of Web prefetching and that will embody the new demands for Web personalisation and Web search assistance. The aim of the research is to design a system for web page prefetching. The system should use user's link path history in combination with the semantic path history. To enable this, semantically annotated web pages are necessary. We cannot rely on the web documents' creators thus one part of the work must be the design and implementation of simple annotator based on WordNet just for purposes of our research.

关键词： Hypertext systems

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Develop a new mobile-optimized remote experiment application for mobile learning 123

Develop a new mobile-optimized remote experiment application...

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123rd ASEE Annual Conference and Exposition

作者： Lan, Qianlong Wang, Ning Chen, Xuemin Song, Gangbing Parsaei, Hamid R. Texas Southern University Dpt. of Computer Science United States Texas Southern University Department of Electrical and Computer Engineering United States United States Texas A and M University Department of Mechanical Engineering United States

As Mobile Learning (M-Learning) has had a great impact on online education, more and more mobile applications are designed and developed for the M-Learning. In this paper, a novel mobile-optimized application architecture is proposed to integrate the remote laboratory into mobile environment for the M-Learning. With this mobile optimized application architecture, the remote experiment applications can use a common codebase to deploy native-like applications on many different mobile platforms (such as, iOS, Android, Window Mobile, etc.). To demonstrate the effectiveness of proposed new architecture for M-Learning, an innovative remote networked Smart Vibration Platform (SVP) experiment is successfully implemented based on this new application architecture. This remote SVP experiment has been used in several engineering courses. © American Society for engineering Education, 2016.

关键词： E-learning

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A Web-Based Service for the Elicitation of Resources in the Biomedical Domain

A Web-Based Service for the Elicitation of Resources in the ...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： J. M. Morales-del-Castillo Carlos Porcel E. Herrera-Viedma Eduardo Peis Dpt. Library and Information Science University of Granada Granada Spain Dpt. Computer Science University of Jaén Jaén Spain Dpt. Computer Science A.I. University of Granada Granada Spain

In certain domains with a dynamic research activity, such as that of Biomedical sciences, it is necessary the development of new services capable of satisfying their specific information needs. In this paper we present a filtering and recommender system that applies Semantic Web technologies and Fuzzy Linguistic Modeling techniques in order to provide users valuable information about resources that fit their interests. The main features and elements of the system are enumerated in this paper, and an operational example (which illustrates the overall system performance) is presented. Furthermore, the outcomes of a simple system evaluation are shown.

关键词： Intelligent agent Semantic Web Fuzzy systems information filtering Recommender systems Application software Libraries information science computer science information filters

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Camera calibration method for an automotive safety driving system

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Journal of Institute of Control, Robotics and Systems 2015年第7期21卷 621-626页

作者： Park, Jong-Seop Kim, Gi-Seok Roh, Soo-Jang Cho, Jae-Soo Dpt. of Computer Science and Engineering Korea University of Technology and Education Korea Republic of

This paper presents a camera calibration method in order to estimate the lane detection and inter-vehicle distance estimation system for an automotive safety driving system. In order to implement the lane detection and vision-based inter-vehicle distance estimation to the embedded navigations or black box systems, it is necessary to consider the computation time and algorithm complexity. The process of camera calibration estimates the horizon, the position of the car's hood and the lane width for extraction of region of interest (ROI) from input image sequences. The precision of the calibration method is very important to the lane detection and inter-vehicle distance estimation. The proposed calibration method consists of three main steps: 1) horizon area determination;2) estimation of the car's hood area;and 3) estimation of initial lane width. Various experimental results show the effectiveness of the proposed method. © ICROS 2015.

关键词： Vehicle safety

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Deployment of a LoRa-based Network and Web Monitoring Application for a Smart Farm

Deployment of a LoRa-based Network and Web Monitoring Applic...

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Workshop on Metrology for Industry 4.0 and IoT

作者： Mohamed Saban Otman Aghzout Alfredo Rosado-Muñ oz Dpt. Electronic Engineering ETSE School of Engineering Burjassot Spain Dpt. Computer Science ENSA School of Engineering Tetouan Morocco

The integration of Industry 4.0 technologies in agriculture will reduce the increasing challenges of agricultural process around the globe. The real-time farm management with high degree of automation will greatly improve productivity, agri-food supply chain efficiency and food safety. This paper describes a fully customized LoRa-based IoT system that aims for a low-cost, low power and wide range wireless sensor network targeted for smart farms. The presented system integrates already existing Programmable Logic Controllers (PLC) typically used to control multiple processes and devices such as water pumps, certain machinery, etc. along with a newly developed network of wireless LoRA sensors distributed over the farm. A Telegram bot is also included as novelty for automated user communication via this mobile phone messaging application. The network structure was deployed and tested. The developed integrated system also includes a cloud-based monitoring application to provide remote visualization and control for all the farming environment.

关键词： Smart agriculture Wireless communication Temperature sensors Temperature measurement Wireless sensor networks Process control Water pumps

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JFML-IoT: Fuzzy Control for IoT Systems based on the IEEE std 1855–2016

JFML-IoT: Fuzzy Control for IoT Systems based on the IEEE st...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Alberto Ramírez-Mena Sofía Cámara-Sánchez Jesús Alcalá-Fdez María Martínez-Rojas Jose Manuel Soto-Hidalgo Information Technology Unit Genyo Spain Dpt. Computer Science and A.I. University of Granada Spain Dpt. Building Construction University of Granada Spain Dpt. Computer Engineering Automation and Robotics University of Granada Spain

ISBN: (数字)9798350319545

ISBN: (纸本)9798350319552

The Internet of Things is revolutionizing how in-terconnected devices communicate and interact within several applications, ranging from health monitoring to smart city development. Yet, the data management in these systems is challenged by imprecision and noise inherent in Internet of Things environments. Fuzzy Rule-Based Systems have emerged as a solution, aptly handling the uncertainty and complexity in decision-making processes these environments present. However, current Fuzzy Rule-Based Systems implementations in Internet of Things often face limitations due to their ad-hoc nature and heavy reliance on specific hardware, thereby restricting their application in diverse and evolving Internet of Things infrastructures. In response to these challenges, we present JFML-IoT, an innovative open-source library that bridges the gap between Fuzzy Rule-Based Systems and Internet of Things devices. JFML-IoT extends the JFML library, implementing the IEEE Std 1855-2016 for Fuzzy Markup Language and adapting its capabilities to the unique demands of the Internet of Things paradigm. This library not only facilitates remote Fuzzy Rule-Based Systems deployment but also excels in generating source code for Internet of Things microcontrollers, thus enabling a new level of hardware abstraction and versatility. Our approach significantly enhances the scalability, flexibility, and integration of Fuzzy Rule-Based Systems within varied Internet of Things systems. To demonstrate the practical application and effectiveness of JFML-IoT, we conducted a case study in a real-world environment. This case study showcases how JFML-IoT can improve data management in Internet of Things systems, offering scalable, efficient, and adaptable solutions that are critical in modern Internet of Things applications.

关键词： Uncertainty Source coding Scalability Noise Collaboration IEEE Standards Libraries

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