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Asia-Pacific Conference on Software engineering

作者： W.C. Chu Y.W. Chen J.N. Chen Dpt. of Computer Science and Information Engineering Tunghai University Taiwan Dpt. of Engineering Science National Cheng Kung University Taiwan

Due to the convenience of pervasive information environment, many people use various computing devices to perform plenty kinds of tasks. In the field of education, there are various applications to facilitate learner, especially for e-learning. However, some computing devices suffer from the limited resources and cannot accept rich information content. Therefore, the information content has to be tailored into different kinds of presentation depending on the types of computing devices. Context sensitivity is an application software system's ability to sense and analyze context from various sources. In this paper, we aim to customize static documents using context-sensitive middleware (CSM) to sense the computing device, and then using the agent-based parser to provide suitable content representation dynamically.

关键词： Application software Electronic learning Personal digital assistants Pervasive computing Middleware Embedded computing Web pages computer science computer science education Mobile computing

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Analyzing the Cause of Students Reluctant to Participate in the Classroom: Machine Learning Approach 10

Analyzing the Cause of Students Reluctant to Participate in ...

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10th International Conference on System Modeling and Advancement in Research Trends, SMART 2021

作者： Islam, Majharul Islam, Md. Sanzidul Siddik, Md. Abu Bakkar Mousumi, Sadia Sultana Sharmin Daffodil International University Dpt. of Software Engineering Dhaka Bangladesh Daffodil International University Dept. Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9781665439701

in the twenty-first century, seems many students are reluctant to participate in classroom matters day by day. Some days ago, a course teacher is providing a lecture, on the most important topics that will be implemented in every step in life that class majority students were nonexistent. We got motivation why it's happened and find out a lot of reasons behind uninterested in class after interrogation. Who are belonging age range 20-25, most of the time they face an obstacle and suffer and other teenagers. The fundamental purpose of this research to take action based on behind reasons, so that students can move in classroom learning matters. In this article, solve will be described and how to motivate students. Then it will be much helpful and far informative for teacher, students, guardians and also education specialist [8]. In this research shown causes, and also recommended how to overcome and solve those reluctant and spread knowledge and enlighten the nation. The aim of the research to help and inform provide to students avoid his/her predicted absent in classroom using Machine learning, particularly we used Liner Algorithm. Then, students will participate in classroom lectures as well as social activity and world would be more peaceful. This research achieved more than the accuracy of 95.9%. © 2021 IEEE.

关键词： Students

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CURRENT-MODE REALIZATION OF NEGATIVE FEEDBACK SABS 35

CURRENT-MODE REALIZATION OF NEGATIVE FEEDBACK SABS

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35TH MIDWEST SYMP ON CIRCUITS AND SYSTEMS

作者： CARLOSENA, A PORTA, S MOSCHYTZ, GS Institute for Signal and Information Processing ETH Zürich CH-8092 Switzerland Dpt. of Electrical Eng. and Computer Science University of Zaragoza E-50009 Spain

ISBN: (纸本)0780305108

This paper presents a method of realizing the current-mode counterparts of the classical Single Amplifier Biquad (SAB's) filters, especially those based on negative feedback. The resulting circuits have been simulated, and exhibit a performance which is superior in some aspects to that of the original voltage-mode circuits. © 1992 IEEE.

关键词： Feedback amplifiers

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Asynchronous iterative waterfilling for Gaussian frequency-selective interference channels: A unified framework

Asynchronous iterative waterfilling for Gaussian frequency-s...

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2007 information Theory and Applications Workshop, ITA

作者： Scutari, Gesualdo Palomar, Daniel P. Barbarossa, Sergio Dpt. INFOCOM Univ. of Rome La Sapienza Via Eudossiana 18 00184 Rome Italy Dpt. of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Hong Kong Hong Kong

ISBN: (纸本)9780615153148

In this paper we give an overview of recent results on the rate maximization game in the Gaussian frequency-selective interference channel. We focus on the competitive maximization of information rates, subject to global power and spectral mask constraints. To achieve the so-called Nash equilibrium points of the game Yu, Ginis and Cioffl proposed the sequential Iterative Waterfilling Algorithm (IWFA), where, at each iteration, the users choose, one after the other, their power allocation to maximize their own information rate, treating the interference generated by the others as additive colored Gaussian noise. To overcome the potential slow convergence of the sequential update, specially when the number of users is large, the simultaneous IWFA was proposed by the authors, where, at each iteration, all the users update their power allocations simultaneously, rather than sequentially. Recently, the authors showed that both the sequential and the simultaneous IWFAs are just special cases of a more general unified framework, given by the totally asynchronous IWFA. In this more general algorithm, the users update their power spectral density in a completely distributed and asynchronous way. Furthermore, the asynchronous setup includes another form of lack of synchronism where the transmission by the different users contains time and frequency synchronization offsets. A unified set of convergence conditions were provided for the whole class of algorithms obtained from the asynchronous IWFA. Interestingly, there is a key result used in the proof of convergence of the algorithms: an alternative interpretation of the waterfilling operator as a projector.

关键词： Iterative methods

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FraMark: A Blockchain Marketplace for a 5G Network Management using Fractional NFTs 7

FraMark: A Blockchain Marketplace for a 5G Network Managemen...

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7th World Symposium on Communication engineering, WSCE 2024

作者： Michoulis, George Tsourdinis, Kyros Niotis, George Kyranou, Konstantinos Fountoukidis, Eleutherios Lagkas, Thomas Argyriou, Vasileios Sarigiannidis, Panagiotis Psannis, Konstantinos E. Goudos, Sotirios K. Sidroco Holdings Ltd R&D Dpt. Thessaloniki Greece Sidroco Holdings Ltd R&D Dpt. Nicosia Cyprus Democritus University of Thrace Dpt. of Computer Science Kavala Greece University of Western Macedonia Dpt. of Electrical & Computer Engineering Kozani Greece Kingston University London Kingston Upon Thames Dpt. of Networks and Digital Media Surrey United Kingdom University of Macedonia Department of Applied Informatics Thessaloniki Greece ELEDIA@AUTH School of Physics Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)9798331542825

This paper presents FraMark, a blockchain-based framework for 5G network management that utilizes Hyperledger Fabric and fractional Non-Fungible Tokens (NFTs) to optimize resource allocation. We introduce a comprehensive system that fractionalizes digital assets to represent 5G network resources, enhancing efficiency and allocation flexibility. Our framework addresses the challenges of 5G network management by ensuring low latency, high transaction throughput, and secure resource trading. We conduct experiments to evaluate the performance of our approach, including CPU and memory utilization, latency analysis, and block size assessment. The results demonstrate the effectiveness of FraMark in improving network resource utilization and transaction efficiency, validating our framework's claims. By leveraging blockchain technology and innovative resource slicing techniques, FraMark paves the way for dynamic and efficient 5G network management. © 2024 IEEE.

关键词： 5G mobile communication systems

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Distributed totally asynchronous iterative waterfilling for wddeband interference channel with time/frequency offset

Distributed totally asynchronous iterative waterfilling for ...

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2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07

作者： Scutari, Gesualdo Palomar, Daniel P. Barbarossa, Sergio Dpt. INFOCOM Univ. of Rome La Sapienza Via Eudossiana 18 00184 Rome Italy Dpt. of Electronic and Computer Engineering Hong Kong Univ. of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)1424407281

This paper considers the competitive maximization of information rates in the Gaussian frequency-selective interference channel, subject to global power and spectral mask constraints. We focus on the practical case in which the transmission by the different users contains time and frequency synchronization offsets. We propose a unified framework based on a distributed algorithm called asynchronous iterative waterfilling algorithm. In this algorithm, the users update their power spectral density in a completely distributed and asynchronous way: some users may update their power allocation more frequently than others and they may even use outdated measurements of the received interference. Moreover the users are not required to know time and frequency offsets. Our main contribution is to provide a unified set of convergence conditions for the whole class of algorithms obtained from the asynchronous iterative water-filling algorithm. © 2007 IEEE.

关键词： Channel estimation

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Whisper-Slu: Extending a Pretrained Speech-to-Text Transformer for Low Resource Spoken Language Understanding

Whisper-Slu: Extending a Pretrained Speech-to-Text Transform...

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IEEE Workshop on Automatic Speech Recognition and Understanding

作者： Quentin Meeus Marie-Francine Moens Hugo Van Hamme Dpt. Computer Science KU Leuven Belgium Dpt. Electrical Engineering KU Leuven Belgium

Human-computer interactions require systems that work out of the box without requiring lots of data to adapt to a new task or user. In this research, we address low resource spoken language understanding tasks such as named entity recognition (NER), intent recognition (IR), and slot filling (SF) to research how a pretrained model can be modified for a new task, then finetuned with few labelled data. We propose extending the Whisper model with task-specific modules for NER, SF, and IR, leveraging a Markov network as output structure. We develop a novel approach to finetuning by removing irrelevant weights and reorganizing the embeddings to drastically improve the performance in a low-resource setting. Our approach outperforms previous models without external language models and demonstrates effective transfer learning, even with very limited training data. The models exhibit a small footprint, making them suitable for applications requiring robustness, few-shot learning, and efficiency.

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A model of nonstationary input stream for simulation modeling of communication networks

A model of nonstationary input stream for simulation modelin...

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International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： P.T. Antonov D.G. Razsadov Computer Science and Engineering Dpt. TU Vama Bulgaria

In the majority of analytical and imitation models analyzing the processes of communication networks functioning, input streams are associated with the well known Poisson's model, describing the most unfavorable case of stationary random streams. In practice the input streams are characterized mainly with strong nonstationary processes, impacting the final results of modeling to a significant degree. Having this in mind this report presents an input stream model for simulation modeling and analysis of communication networks.

关键词： Communication networks Analytical models Telecommunication traffic Traffic control computer science Fractals Page description languages

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An Individual Patient Outcome Tool for Joint Replacement Patients

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Studies in Health Technology and Informatics 2018年 251卷 129-132页

作者： Ellison, Peter Høl, Paul John Babic, Ankica Haukeland University Hospital Dpt. of Orthopaedic Surgery Bergen Norway Department of Clinical Medicine University of Bergen Norway Department of Information Science and Media Studies University of Bergen Norway Department of Biomedical Engineering Linköping University Sweden

ISBN: (纸本)9781614998792

Patient specific forecasting tools are an area of active research and very much seen as a necessary tool for future improvements in healthcare. In order to succeed with decision making tools, fine-grained data are required to build models relevant and valid at an individual level. Location and assemble of data to build such tools is not trivial. Even then the ability to perform accurate predictions is not guaranteed. This study outlines a method to integrate existing data sources to base predictions on. A key benefit of the method is the minimal extra burden on the patient and the healthcare system. A pilot study is performed to implement the system architecture on data from total knee arthroplasty. Output from the system is presented using web technologies. In doing so, the viability of the method to implement a tool for the prediction of pre-operative and post-operative follow-up is demonstrated. Future steps will include testing and deployment of the system. © 2018 The authors and IOS Press. All rights reserved.

关键词： Decision making

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Automatic collection of failure data from the iOS platform

Automatic collection of failure data from the iOS platform

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2013 43rd Annual IEEE/IFIP Conference on Dependable Systems and Networks Workshop, DSN-W 2013

作者： Cinque, Marcello Cotroneo, Domenico Rodriguez-Dominguez, Carlos Garrido, Jose Luis Dpt. of Electrical Engineering and Information Technology DIETI University of Naples Federico II Via Claudio 21 80125 Naples Italy Dpt. of Computer Languages and Systems ETSIIT University of Granada C/ P. D. Saucedo Aranda S/N 18071 - Granada Spain

ISBN: (纸本)9781479901814

The increasing complexity of smart phones makes them more susceptible to accidental failures. However, there is still little understanding on the dependability behavior of modern smart phones. In this paper, we propose the design and implementation of a logger to collect relevant failure data from iOS devices, such as iPhone and iPad. The preliminary use of the logger on real-world devices shows that it is able to collect meaningful failure data and to provide interesting insight on the dependability behavior of iOS. © 2013 IEEE.

关键词： Smartphones

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