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International Database Engineering and Applications Symposium, IDEAS'08

作者： Karnstedt, Marcel Sattler, Kai-Uwe Hauswirth, Manfred Sapkota, Brahmananda Schmidt, Roman Faculty of Computer Science and Automation TU Ilmenau Germany NUIG Galway Ireland School for Computer and Communication Sciences EPFL Lausanne Switzerland

ISBN: (纸本)9781605581880

A crucial prerequisite for the deployment and success of Peer-to-Peer data management applications is the availability of metadata in a way that makes it easy to access and combine data from different sources and domains. In this paper, we argue for a unified and distributed infrastructure providing a repository for semantic data by offering location transparency and advanced query services. After discussing the challenges of such an approach, we present our solution which applies extended SPARQL-like query features for dealing with large and possibly heterogeneous data sets. We focus on the integration into efficient distributed query processing and evaluate our approach in a series of experiments. Copyright 2008 ACM.

关键词： Query processing

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Fine-grained distributed averaging for large-scale radio interferometric measurement sets

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Research in Astronomy and Astrophysics 2021年第4期21卷 93-100页

作者： Shou-Lin Wei Kai-Da Luo Feng Wang Hui Deng Ying Mei Faculty of Information Engineering and Automation Computer Technology Application Key Lab of Yunnan ProvinceKunming University of Science and TechnologyKunming 650500China Center for Astrophysics Guangzhou UniversityGuangzhou 510006China

The Square Kilometre Array(SKA)would be the world’s largest radio telescope with eventually over a square kilometre of collecting ***,there are enormous challenges in its data *** use of modern distributed computing techniques to solve the problem of massive data processing in the SKA is one of the most important *** this study,basing on the Dask distribution computational framework,and taking the visibility function integral processing as an example,we adopt a multi-level parallelism method to implement distributed averaging over time and *** Array was used to implement super large matrix or arrays with supported *** maximize the usage of memory,we further exploit the data parallelism provided by Dask that intelligently distributes the computational load across a network of computer agents and has a built-in fault tolerance *** validity of the proposed pattern was also verified by using the Common Astronomy Software Application(CASA),wherein we analyze the smearing effects on images reconstructed from different resolution visibilities.

关键词： techniques:interferometric methods:data analysis methods:numerical instrumentation:interferometers

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Enhanced simulation framework for realisation of mobility in 6LoWPAN wireless sensor networks 28

Enhanced simulation framework for realisation of mobility in...

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28th International Scientific Conference Electronics, ET 2019 - Proceedings

作者： Vasilev, Rusen Vasilev Haka, Aydan Mehmed Department of Computer Science and Engineering Faculty of Computer Sciences and Automation Technical University of Varna 1 Studentska str Varna9010 Bulgaria

ISBN: (纸本)9781728125749

The intense incursion of the Internet of Things (IoT) into all areas of modern life has led to a need for a more detailed study of these technologies and their mechanisms of work. It is necessary to study mechanisms in order to improve QoS, security, identifying shortest routes, mobility, etc. This paper proposes an enhanced simulation framework that implements an improved mechanism for prioritising traffic on 6LoWPAN networks and the realisation of micro-mobility. © 2019 IEEE.

关键词： Internet of things

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Fields of applications for hybrid online labs

Fields of applications for hybrid online labs

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2013 10th International Conference on Remote Engineering and Virtual Instrumentation, REV 2013

作者： Henke, K. Ostendorff, St. Wuttke, H.-D. Simon, St. Ilmenau University of Technology Faculty of Computer Science and Automation Integrated Communication Systems Group POB 10 05 65 98684 Ilmenau Germany Ilmenau University of Technology Faculty of Computer Science and Automation POB 10 05 65 98684 Ilmenau Germany

ISBN: (纸本)9781467363464

Based on a grid concept of an interactive hybrid online laboratory we will describe different fields of applications in different learning scenarios. The infrastructure is based on a universal grid concept which guaranties a reliable, flexible as well as robust usage of this online lab. By using the REAL online lab, students are able to design control algorithms with different specification techniques to control electro-mechanical models in the online lab. Additionally, the reconfigurable rapid prototyping platform of the REAL system can be used to test all the taught topics of a given lectures in the field of digital system design. Finally, a special demonstration platform (a ball in a labyrinth on a balance plate) can be used to give the students a better feeling about the possibilities and limitations of remote control and observation via Internet and to evaluate these technologies critically. The implemented online lab infrastructure is based on the iLab architecture of the MIT, which allows to interconnect online labs and to exchange remote lab experiments among different universities worldwide. © 2013 IEEE.

关键词： Students

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A grid concept for reliable, flexible and robust remote engineering laboratories

A grid concept for reliable, flexible and robust remote engi...

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2012 9th International Conference on Remote Engineering and Virtual Instrumentation, REV 2012

作者： Henke, K. Ostendorff, St. Wuttke, H.-D. Vogel, St. Ilmenau University of Technology Faculty of Computer Science and Automation Integrated Communication Systems Group POB 10 05 65 98684 Ilmenau Germany Ilmenau University of Technology Faculty of Computer Science and Automation POB 10 05 65 98684 Ilmenau Germany

ISBN: (纸本)9781467325424

Within this paper, we will describe a grid concept to realize a universal remote lab infrastructure as well as different operation modes based on this concept. This new infrastructure consists of three parts: an internal serial remote lab bus, a bus protection unit to interface the remote lab bus and to protect it from misuse and damage as well as a protection unit, which protects the physical systems (the electro-mechanical models in our remote lab) against deliberate damage or accidentally wrong control commands and which offers different access and control mechanisms. The interconnection between the Web-control units and the selected physical system during a remote lab work session (experiment) as well as the user management is done by the lab server, which also handles the webcams. The implemented remote lab infrastructure is based on the iLab architecture of the MIT, which allows to interconnect remote labs and to exchange remote lab experiments among different universities worldwide. © 2012 IEEE.

关键词： Laboratories

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A surrogate approach for the global optimization of signal settings and traffic assignment problem

A surrogate approach for the global optimization of signal s...

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International IEEE Conference on Intelligent Transportation Systems

作者： Adacher, Ludovica Cipriani, Ernesto Faculty of Engineering Department of Computer Science and Automation University of Roma Tre Italy Faculty of Engineering Department of Science of Civil Engineering University of Roma Tre Italy

ISBN: (纸本)9781424476572

We extend a 'surrogate problem' approach that is developed for a class of stochastic discrete optimization problems so as to tackle the global signal settings and traffic assignment combined problem. We compare a stochastic method based on the surrogate approach, called Surrogate Method (SM), with a Projected Gradient Algorithm (PGA), which uses the Armijo rule for the step size estimation routine. Numerical experiments conducted on a test network show that the surrogate method converges to a really small area and it finds much more efficient solutions. ©2010 IEEE.

关键词： Global optimization

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A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI

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Scientific Reports 2025年第1期15卷 1-14页

作者： Hussain, Sayyed Shahid Shah, Pir Masoom Dawood, Hussain Degang, Xu Alshamayleh, Ahmad Khan, Muhammad Adnan Ghazal, Taher M. School of Automation Central South University Changsha 410083 China School of Computer Science and Engineering Central South University Changsha 410010 China Department of Computer Science Bacha Khan University Charsadda Pakistan School of Computing Skyline University College Sharjah United Arab Emirates Department of Data Science and Artificial Intelligence Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan Department of Software Faculty of Artificial Intelligence and Software Gachon University Seongnam-si 13120 South Korea Riphah School of Computing and Innovation Riphah International University Lahore Campus Lahore 54000 Pakistan Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura 140401 India Networks and Cybersecurity Department Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan

Parkinson’s disease ranks as the second most prevalent neurological disorder after Alzheimer’s disease. Convolutional neural networks (CNNs) have been extensively employed in Parkinson’s disease (PD) detection using MR images. However, CNN models generally focus on local features while prone to capture global representations. On the other hand, the vision transformer (ViT) excels at capturing global features through its self-attention mechanism, but it compromises local feature representations. Additionally, the varying magnitude of MR data poses a challenge for ViT, potentially leading to the gradient vanishing problem. To address these limitations, this paper proposed a novel framework that combines the Swin-Transformer and CNN to capture both local and global features effectively. To mitigate the gradient vanishing issue in ViT, we used skipped connections and cosine attention mechanism in VIT that preserves the output distribution regardless of input magnitude variations. The proposed model comprises three primary blocks: Transformer-block, convolutional block, and dense-block. The input image is processed concurrently by the cosine transformer and convolutional block. Subsequently, the extracted features from both blocks are concatenated and fed to the dense block for decision-making. The proposed model achieved promesing results of 96%, 97%, 95%, and 95% in terms of accuracy, sensitivity, specificity, and area under the curve, respectively. © The Author(s) 2025.

关键词： CNN Cosine similarity MRI Parkinson’s disease Swin-transformer

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Reliability indicators analysis for the cam box module of industrial knitting machines 49

Reliability indicators analysis for the cam box module of in...

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49th International Universities Power Engineering Conference, UPEC 2014

作者： Iudean, Dan Munteanu, Radu Dan Zaharia, Valentin Dobra, Mirela Faculty of Electrical Engineering Technical University of Cluj-Napoca Romania Faculty of Automation and Computer Science Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781479965571

This paper studies the reliability of an industrial knitting machine, emphasizing the reliability value and the reliability indicators: failure rate and MTBF (Mean Time Between Failures). This study has been conducted on an industrial knitting machine and has duration of 4500 hours (approximately 6 months), after which preventive maintenance operations are planned. This study analyses the behavior of the reliability, failure rate and of the MTBF depending on the functioning environment and of the temperature to which the knitting machine was subjected. The last part presents an analysis of the top ten components that are most likely to malfunction. © 2014 IEEE.

关键词： Mean time between failures

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Spike detection and sorting using PARAFAC2 method 36

Spike detection and sorting using PARAFAC2 method

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2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

作者： Just, T. Weis, M. Husar, P. Technische Universität Ilmenau Faculty of Computer Science and Automation Institute of Biomedical Engineering and Informatics Ilmenau Germany

ISBN: (纸本)9781424479290

In this contribution we introduce the Parallel Factor 2 (PARAFAC2) analysis as a novel method for the simultaneous detection and classification of neural action potentials. In order to measure these action potentials (spike signals), stem cell derived neuronal cells are cultivated on the surface of a Micro Electrode Array (MEA). Here, the neuronal cells produce ion currents, which can be measured as extracellular electric potentials. Whenever a cell or a group of cells produces ion currents, either spontaneously or evoked by a stimulus, a spike signal can be measured by the electrodes of the MEA. Stimulated cells produce spikes and groups of spikes (bursts) which propagate in space over the MEA. In the recorded data, different source types (e.g., cells which respond directly to external stimuli and cells which are triggered by other neural cells) are characterized by different spike shapes. The proposed PARAFAC2 method is able to separate these spike shapes (sources) in time, frequency and space (channels) enabling an improved performance in noisy scenarios. Furthermore, PARAFAC2 allows for a causality analysis on the measured spike signals (i.e. the identification of different signal paths). Thereby, the PARAFAC2 decomposition is able to exploit the multi-dimensional structure of the MEA data. © 2014 IEEE.

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Recent Advances in Soft Computing 1

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丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Radek Matoušek

The MENDEL conference was established in 1995 and it bears the name of the scientist and Augustinian priest Gregor J. Mendel, who discovered the famous Laws of Heredity. The main aim of the conference was to create a ... 详细信息

ISBN: (数字)9783319978888

ISBN: (纸本)9783319978871

关键词： Computational Intelligence Artificial Intelligence

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