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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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Context-sensitive content representation for static document

Context-sensitive content representation for static document

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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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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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Secure image encryption based on a chua chaotic noise generator

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Journal of engineering science and Technology Review 2013年第4期6卷 90-103页

作者： Andreatos, A.S. Leros, A.P. Div. of Computer Engineering and Information Science Hellenic Air Force Academy Dekeleia Air Force Base Dekeleia Attica TGA-1010 Greece Dpt. of Automation School of Technological Applications Technological Educational Institute of Chalkis 34400 Psachna Evia Greece

This paper presents a secure image cryptography telecom system based on a Chua's circuit chaotic noise generator. A chaotic system based on synchronised Master-Slave Chua's circuits has been used as a chaotic true random number generator (CTRNG). Chaotic systems present unpredictable and complex behaviour. This characteristic, together with the dependence on the initial conditions as well as the tolerance of the circuit components, make CTRNGs ideal for cryptography. In the proposed system, the transmitter mixes an input image with chaotic noise produced by a CTRNG. Using thresholding techniques, the chaotic signal is converted to a true random bit sequence. The receiver must be able to reproduce exactly the same chaotic noise in order to subtract it from the received signal. This becomes possible with synchronisation between the two Chua's circuits: through the use of specific techniques, the trajectory of the Slave chaotic system can be bound to that of the Master circuit producing (almost) identical behaviour. Additional blocks have been used in order to make the system highly parameterisable and robust against common attacks. The whole system is simulated in Matlab. Simulation results demonstrate satisfactory performance, as well as, robustness against cryptanalysis. The system works with both greyscale and colour jpg images. © 2013 Kavala Institute of Technology.

关键词： Synchronization

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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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A robust Carrier Frequency and Timing Offset Estimation in Inter-UAV OFDM Communication Links

A robust Carrier Frequency and Timing Offset Estimation in I...

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International Multi-Topic ICT Conference (IMTIC)

作者： Farzana Kulsoom Iraj Fatima Hassan Nazeer Chaudhry Aneeqa Gul Adeel Akram Telecommunication Engineering Dpt. University of Engineering and Technology Taxila Pakistan Computer Science Dpt. Barani Institute of Technology Rawalpindi Pakistan

The UAV-mounted base station has been integrated into 5G and beyond to provide communication in an emergency when conventional systems fail due to some reason. Moreover, it is also used in coverage enhancement and for other strategic purposes. In this work, we have considered a MIMO-OFDM based UAV system that is inclined to fast-fading channels due to the continuous motion of UAVs. Due to the mobility of UAVs, there is a frequency and timing offset which must be estimated for proper and seamless communication. For that purpose, we have proposed a data-aided maximum likelihood-based scheme that efficiently estimates the carrier frequency and timing offset. Results show that our algorithm outperforms the state-of-the-art system in terms of MSE.

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Development of an ubiquitous decision support system for clinical guidelines using MDA

Development of an ubiquitous decision support system for cli...

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19th International Conference on Advanced Information Systems engineering, CAiSE 2007

作者： Porres, Ivan Domínguez, Eladio Pérez, Beatriz Rodríguez, Áurea Zapata, María A. Department of Computer Science Åbo Akademi University Joukahaisenkatu 3-5 B Turku FIN-20520 Finland Dpt. of Computer Science and Systems Engineering University of Zaragoza Pedro Cerbuna 12 E-50009 Zaragoza Spain

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Annotations Time Shift: A Key Parameter in Evaluating Musical Note Onset Detection Algorithms

Annotations Time Shift: A Key Parameter in Evaluating Musica...

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IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

作者： Mina Mounir Peter Karsmakers Toon van Waterschoot Dpt. of Electrical Engineering KU Leuven Leuven Belgium Dpt. of Computer Science KU Leuven GEEL Belgium

Musical note onset detection is a building component for several MIR related tasks. The ambiguity in the definition of a note onset and the lack of a standard way to annotate onsets, introduce differences in datasets labeling, which in turn makes evaluations of note onset detection algorithms difficult to compare. This paper gives an overview of the parameters influencing the commonly used onset detection evaluation measure, i.e. the F1-score, pointing out a consistently missing parameter which is the overall time shift in annotations. This paper shows how crucial this parameter is in making reported F1-scores comparable among different algorithms and datasets, achieving a more reliable evaluation. As several MIR applications are concerned with the relative location of onsets to each other and not their absolute location, this paper suggests to include the overall time shift as a parameter when evaluating the algorithm performance. Experiments show a strong variability in the reported F1-score and up to 50% increase in the best-case F1-score when varying the overall time shift. Optimizing the time shift turns out to be crucial when training or testing algorithms with datasets that are annotated differently (e.g. manually, automatically, and with different annotators) and especially when using deep learning algorithms.

关键词： Annotations Labeling Signal processing algorithms Music Transient analysis Multiple signal classification Training

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MSNER: A Multilingual Speech Dataset for Named Entity Recognition

arXiv

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arXiv 2024年

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

While extensively explored in text-based tasks, Named Entity Recognition (NER) remains largely neglected in spoken language understanding. Existing resources are limited to a single, English-only dataset. This paper addresses this gap by introducing MSNER, a freely available, multilingual speech corpus annotated with named entities. It provides annotations to the VoxPopuli dataset in four languages (Dutch, French, German, and Spanish). We have also releasing an efficient annotation tool that leverages automatic pre-annotations for faster manual refinement. This results in 590 and 15 hours of silver-annotated speech for training and validation, alongside a 17-hour, manually-annotated evaluation set. We further provide an analysis comparing silver and gold annotations. Finally, we present baseline NER models to stimulate further research on this newly available dataset. © 2024, CC BY.

关键词： Silver

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