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IEEE Photonics Conference (IPC)

作者： Dennis Pohle Fabio A. Barbosa Filipe M. Ferreira Stefan Rothe Juergen W Czarske Chair of Measurement and Sensor System Technique Faculty of Electrical and Computer Engineering TU Dresden Dresden Germany Department of Electronic and Electrical Engineering Optical Networks Group University College London United Kingdom Institute of Applied Physics School of Science TU Dresden Dresden Germany

We propose an all-optical data-driven technique for space division multiplexing in few-mode fibers. A digital twin was realized by multiplane light conversion and neural networks. It is promising for a digitally progr...

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Improved clock-phase generator based on self-biased CMOS logic for time-interleaved SC circuits

Improved clock-phase generator based on self-biased CMOS log...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： M. Figueiredo T. Michalak J. Goes L. Gomes P. Sniatala Department of Electrical Engineering Faculdade de Ciências e Tecnologia (FCT) Universidade Nova de Lisboa Monte da Caparica Portugal Faculty of Computing Science and Management Chair of Computer Engineering Poznan University of Technology Poznan Poland

ISBN: (纸本)9781424450909;9781424450916

This paper presents an improved clock-phase generator, able to provide two non-overlapping phases, with an accurate phase shift of 180 degrees. The circuit relies on a modified version of the classic NAND-based bi-phase clock generator but uses an equalizing transmission gate together with dedicated self-biased logic. Simulation results over PVT corners show that, when compared with the original bi-phase clock generator, the proposed circuit exhibits a reduction in the spread of the phase-skew error by a factor higher than 2.4 whilst dissipating similar power. Moreover, the proposed circuit does not require any kind of calibration.

关键词： CMOS logic circuits Clocks Calibration Phase locked loops Sampling methods Voltage-controlled oscillators Jitter Delay Circuit simulation Power generation

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GENIE-NF-AI: Identifying Neurofibromatosis Tumors using Liquid Neural Network (LTC) trained on AACR Genie Datasets

arXiv

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arXiv 2023年

作者： Bidollahkhani, Michael Atasoy, Ferhat Abedini, Elnaz Davar, Ali Hamza, Omid Sefaoğlu, Fırat Jafari, Amin Yalçın, Muhammed Nadir Abdellatef, Hamdan Department of Computer Engineering Institute of Graduate Studies Karabuk University Turkey Göttingen Germany Department of Biomedical Engineering Institute of Graduate Studies Karabuk University Turkey Department of Genetics and Bioengineering Faculty of Engineering and Architecture Kastamonu University Turkey Department of Medical Science Faculty of Medicine Karabuk University Turkey Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

In recent years, the field of medicine has been increasingly adopting artificial intelligence (AI) technologies to provide faster and more accurate disease detection, prediction, and assessment. In this study, we propose an interpretable AI approach to diagnose patients with neurofibromatosis using blood tests and pathogenic variables. We evaluated the proposed method using a dataset from the AACR GENIE project and compared its performance with modern approaches. Our proposed approach outperformed existing models with 99.86% accuracy. We also conducted NF1 and interpretable AI tests to validate our approach. Our work provides an explainable approach model using logistic regression and explanatory stimulus as well as a black-box model. The explainable models help to explain the predictions of black-box models while the glass-box models provide information about the best-fit features. Overall, our study presents an interpretable AI approach for diagnosing patients with neurofibromatosis and demonstrates the potential of AI in the medical field. © 2023, CC BY-NC-ND.

关键词： Machine learning

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Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging

arXiv

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arXiv 2020年

作者： Ahmadi, Samim Hauffen, Jan Christian Kästner, Linh Jung, Peter Caire, Giuseppe Ziegler, Mathias Bundesanstalt für Materialforschung und -prüfung Berlin Germany Chair Industry Grade Networks and Clouds Faculty of Electrical Engineering and Computer Science Berlin Institute of Technology Berlin Germany Chair Communication and Information Theory Berlin Institute of Technology Berlin Germany

Block-sparse regularization is already well-known in active thermal imaging and is used for multiple measurement based inverse problems. The main bottleneck of this method is the choice of regularization parameters which differs for each experiment. To avoid time-consuming manually selected regularization parameter, we propose a learned block-sparse optimization approach using an iterative algorithm unfolded into a deep neural network. More precisely, we show the benefits of using a learned block iterative shrinkage thresholding algorithm that is able to learn the choice of regularization parameters. In addition, this algorithm enables the determination of a suitable weight matrix to solve the underlying inverse problem. Therefore, in this paper we present the algorithm and compare it with state of the art block iterative shrinkage thresholding using synthetically generated test data and experimental test data from active thermography for defect reconstruction. Our results show that the use of the learned block-sparse optimization approach provides smaller normalized mean square errors for a small fixed number of iterations than without learning. Thus, this new approach allows to improve the convergence speed and only needs a few iterations to generate accurate defect reconstruction in photothermal super resolution imaging. © 2020, CC BY.

关键词： Mean square error

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A parallel architecture for ray-tracing with an embedded intersection algorithm

A parallel architecture for ray-tracing with an embedded int...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Alexandre S. Nery Nadia Nedjah Felipe M.G. França Lech Jozwiak LAM-Computer Architecture and Microelectronics Laboratory Systems Engineering and Computer Science Program COPPE Universidade Federal do Rio de Janeiro Brazil Department of Electrical Engineering-Electronic Systems Eindhovan University of Technology Netherlands Department of Electronics Engineering and Telecommunications-Faculty of Engineering Universidade do Estado do Rio de Janeiro (UERJ) Brazil

Real time rendering of three-dimensional scenes in Ray Tracing is a hard problem. However, parallel implementations have been enabling real time performance, as the algorithm can be highly parallelized. Thus, a custom parallel design in hardware is likely to achieve a good performance. In this paper, we further improve the GridRT architecture overall performance by embedding the ray-triangle intersection computation into the precessing elements that form the architecture. Low cost and high rendering performance are the main concerns in this novel design. The results show that the execution time of each intersection computation is reduced by at least 50%, while the area cost is practically unchanged or even reduced when compared to the original GridRT implementation.

关键词： Ray tracing Registers Equations USA Councils Mathematical model Parallel architectures

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Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based Thresholding

arXiv

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arXiv 2024年

作者： Laridi, Sofiane Palmer, Gregory Tam, Kam-Ming Mark L3S Research Center Faculty of Electrical Engineering and Computer Science Leibniz University Hannover30167 Germany Department of Architecture University of Hong Kong Knowles Building Pokfulam Road Hong Kong

In Federated Learning (FL), anomaly detection (AD) is a challenging task due to the decentralized nature of data and the presence of non-IID data distributions. This study introduces a novel federated threshold calculation method that leverages summary statistics from both normal and anomalous data to improve the accuracy and robustness of anomaly detection using autoencoders (AE) in a federated setting. Our approach aggregates local summary statistics across clients to compute a global threshold that optimally separates anomalies from normal data while ensuring privacy preservation. We conducted extensive experiments using publicly available datasets, including Credit Card Fraud Detection, Shuttle, and Covertype, under various data distribution scenarios. The results demonstrate that our method consistently outperforms existing federated and local threshold calculation techniques, particularly in handling non-IID data distributions. This study also explores the impact of different data distribution scenarios and the number of clients on the performance of federated anomaly detection. Our findings highlight the potential of using summary statistics for threshold calculation in improving the scalability and accuracy of federated anomaly detection systems. © 2024, CC BY.

关键词： Federated learning

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On the Computational Determination of the Third Focus of the Cartesian Oval 32

On the Computational Determination of the Third Focus of the...

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32nd Telecommunications Forum, TELFOR 2024

作者： Malesevic, Branko Rosic, Aleksandra Banjac, Bojan Micovic, Milos University of Belgrade School of Electrical Engineering Department of Applied Mathematics Bulevar kralja Aleksandra 73 Belgrade11000 Serbia University of Belgrade Faculty of Mathematics Department of Algebra and Mathematical Logic Studentski trg 16 Belgrade11000 Serbia University of Novi Sad Computer Graphics Chair Faculty of Technical Sciences Trg Dositeja Obradovica 16 Novi Sad21000 Serbia Intens Doo Bulevar Evrope 28 Novi Sad21000 Serbia School of Electrical Engineering University of Belgrade Science and Research Centre Department of Applied Mathematics Bulevar kralja Aleksandra 73 Belgrade11000 Serbia

ISBN: (纸本)9798350391053

In this paper, the correctness of the algebraic determination of the coordinate of the third focus of the Cartesian oval is examined and analysed. This analysis is necessary because the process includes solving systems with a large number of multivariate polynomial equations using the computer algebra system Maple. The paper also considers the difficulties and limitations of using computers in determining the coordinate of the third focus. © 2024 IEEE.

关键词： Polynomials

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Perceived environment and neighbourhood satisfaction: introducing a fuzzy modeling approach

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Cities and Health 2023年第5期7卷 808-822页

作者： Fakhrahmad, Seyed Mojtaba Fakhrahmad, Seyed Mostafa Soltani, Ali Hajipour, Khalil Department of Urban Planning Faculty of Fine Arts Tehran University Tehran Iran Department of Computer Science & Engineering School of Electrical and Computer Engineering Shiraz University Shiraz Iran Department of Urban Planning School of Art and Architecture Shiraz University Shiraz Iran

The present study aims at developing the existing methodology to determine the predictors of neighborhood satisfaction under an uncertain environment. To achieve this purpose, required data are gathered from 320 households living in Shiraz, Iran, including their perceptions of neighborhood social characteristics and neighborhood satisfaction through a questionnaire survey. Due to uncertainty among the numeric independent variables, a set of fuzzy estimation systems are developed, each of which predicts the value of neighborhood satisfaction using the values of one specific subset of the influencing independent variables. According to the findings, the environmental characteristics of neighborhood contribute to improving neighborhood satisfaction more effectively than individual attributes of residents. Fuzzy results, also, show that perceived security, social control and trust are important predictors of neighborhood satisfaction among single variables, while the combination of trust and perceived security has the strongest effect among all variables and can determine neighborhood satisfaction with a high accuracy. Parts of the results were consistent with prior research. There are important implications for researchers and policy-makers in the findings. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： fuzzy modeling approach individual attributes Neighborhood satisfaction neighborhood social features perceived environment

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Developing and Piloting an Approach to Evaluate Educational Innovation at Course Level

Developing and Piloting an Approach to Evaluate Educational ...

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IEEE Education engineering (EDUCON)

作者： Erna Engelbrecht Remon Rooij Marcus Specht Johannes Strobel Faculty of Architecture and the Built Environment Delft University of Technology Delft The Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft The Netherlands College of Education STEM Education The University of Texas at El Paso El Paso USA

ISBN: (数字)9798350394023

ISBN: (纸本)9798350394030

Evaluation of educational innovation at the course level is dominated by frameworks that are linear, built on simple models, lack grounding in theory, and are generally not flexible enough to provide actionable recommendations for improvements. Moreover, the guidelines provided by existing literature are difficult to transfer to other contexts as most of these are aimed at specific innovations only. Therefore, there is a need for a new approach that is flexible enough to enable adaptation to different contexts, and that draws on the strengths of existing evaluation traditions. This paper forms a starting point for a larger research initiative for developing a comprehensive innovation evaluation framework. The context of the paper is a project based within the four universities of technology in The Netherlands (4TU) dedicated to strengthening collaboration in engineering education and research needed to take on global societal problems. The potential reach of our framework has implications for the wider field. This paper describes the results of an exploratory literature review to draw on the strengths of various evaluation theories to develop a new approach to evaluating educational innovation in courses. Value, Methods, and Use are the main components identified for this approach. Secondly, we developed a workshop to pilot this approach. Lastly, the workshop was presented to educational researchers, engineering educators, and educational advisors. We share lessons learned from the workshop and conclude with descriptions of future research to refine the framework to prepare its application in real innovation initiatives.

关键词： Industries Technological innovation Reviews Grounding Conferences Bibliographies Collaboration

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Implementation of an Intelligent Animal Monitoring System Using Wireless Sensor Network and IoT Platform

Implementation of an Intelligent Animal Monitoring System Us...

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Cyber Resilience (ICCR), International Conference on

作者： Ateeq Ur Rehman Jehangir Arshad Muhammad Tariq Sadiq Abdul Rehman Munir Ahmad Mohammad Kamrul Hasan Hussam Al Hamadi Tauqeer Faiz Department of Electrical Engineering GC University Lahore Pakistan Department of Electrical & Computer Engineering Lahore Campus COMSATS University Islamabad Lahore Pakistan School of Architecture Technology and Engineering University of Brighton Brighton United Kingdome NCBAE School of Computer Science Lahore Pakistan Faculty of Information Science and Technology Center for Cyber Security Universiti Kebansaan Malaysia (UKM) Bangi Selangor Malaysia College of Engineering and IT University of Dubai School of IT Skyline University College Sharjah UAE Faculty of Engineering Computing and Science (FECS) - Swinburne University of Technology Australia

ISBN: (数字)9781665461221

ISBN: (纸本)9781665461238

Meat and dairy products are negatively impacted by a lack of technology in the livestock industry in developing countries. To cater for this challenge, the Internet of Things (IoT), Node-MCU, and intelligent wireless sensor nodes are deployed to create a new smart dairy monitoring system. A cow collar with a temperature sensor, a GPS module, and an environmental parameter regularization system are included. Data from modules is stored in a separate database using an innovative IoT -based front end. All the deployed WS nodes can determine whether the environment is stable or not at any given time. Sensors built inside cow collars can assess vital indications like temperature and pulse rate, as well as the animal's exact location. The design of the Cow collar also has a feature that automatically alerts the owner. The plug-and-play technology offered is designed to be easy to adapt. When a farm has many animals, automation decreases the need for human involvement and so lowers labor expenses. The exploitation of remote monitoring systems improves the health of the animals and hence yields a better amount of dairy. This study also includes a detailed comparison of the proposed implementation with current systems to demonstrate its originality. Other applications, such as smart monitoring of zoo animals and poultry, may be derived from the proposed technology.

关键词： Temperature sensors Wireless communication Temperature measurement Wireless sensor networks Animals Databases Cows

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