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International Conference on computer and Information Technology (ICCIT)

作者： Muhammad Shahriar Zaman Richard Victor Biswas Department of Computer Science and Engineering Faculty of Science and Technology American International University-Bangladesh (AIUB) Dhaka Bangladesh Department of Electrical and Electronic Engineering Faculty of Engineering American International University-Bangladesh (AIUB) Dhaka Bangladesh

Deafness is an unfortunate issue of our society impairing many people. Around 3 million people in Bangladesh suffer from partial or complete deafness. One key challenge for these individuals is communicating with regular people. Various sign languages are available but very few people are knowledgeable about it. Keeping this issue in consideration this project has been developed. The smart Arduino glove allows the user to express their ideas by translating their fingerspelling as well as the gestures into comprehensible messages. The system also allows identification of common sentences by identifying simple gestures. The suggested system if applied in daily life can bring a positive change in the lives of deaf-mute individuals.

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Comparison of Different Gaussian Process Models and Applications in Model Predictive control

Comparison of Different Gaussian Process Models and Applicat...

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International Conference on control, Automation and Systems ( ICCAS)

作者： Florian Diepers Dominik Polke Elmar Ahle Dirk Söftker Faculty of Electrical Engineering and Computer Science University of Applied Sciences Niederrhein Krefeld Germany Chair of Dynamics and Control University of Duisburg-Essen Duisburg Germany

Most advanced control methods require a sufficiently accurate model of the system to be controlled. These models are becoming increasingly difficult to generate due to the increasing complexity of the underlying systems. To address this problem, data-driven models can be used. These kind of models are trained based on data of the dynamic system. They can be used for controller design and also be applied directly to control the system. In this work, a stochastic model predictive controller (SMPC) with a Gaussian process model (GP) is utilized. The main advantage of GPs is the construction of a dynamic system model with the possibility of determining the uncertainty of its own prediction. In this contribution, three different utilizations of prediction uncertainty in SMPC are compared. Additionally, two different implementations of dynamic GPs, nonlinear autoregressive exogenous GPs (GP-NARX) and a state-space model based on GPs (GP-SSM), are considered. All six test cases are compared based on an evaluation criterion that describes the resulting control performance. A simulated inverted pendulum, a benchmark for nonlinear and unstable systems, is used as test system. In this work, the combinations of different dynamic GPs and the application of their uncertainty prediction in SMPC are evaluated and compared.

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Methods and tools for automatic or semi-automatic recognition of selected emotions using machine learning algorithms

Methods and tools for automatic or semi-automatic recognitio...

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Progress in Applied electrical engineering (PAEE)

作者： Piotr Schneider Dariusz Mikołajewski Anna Bryniarska Magdalena Igras-Cybulska Artur Cybulski Walery Marcinowicz Maciej Janiszewski Aleksandra Kawala-Sterniuk Department of Neuroinformatics and Biomedical Engineering Institute of Computer Science Maria Curie-Sklodowska University Lublin Poland Hishoo Sp. z o.o Gdynia Poland Faculty of Computer Science Kazimierz Wielki University Bydgoszcz Poland Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland

ISBN: (数字)9798331527563

ISBN: (纸本)9798331527570

Automatic or semi-automatic recognition of selected emotions using Machine Learning (ML) algorithms requires practical, fast and accurate implementation of the steps involved in acquiring the actual signals (e.g. speech, facial expression, posture and body movements), recording them in the form of an optimal feature vector/matrix, correctly interpreting the above data and reproducing and generalising this process within the ML system. Depending on the accuracy and speed required and the degree of its ‘invasiveness’ (e.g. by attaching sensors to the user’s body), single or multi-modal interpretations of biometric signals associated with different groups of emotions are possible. This group of studies, despite their relative non-invasiveness, requires the caution prescribed by the Artificial Intelligence (AI) Act and RODO Act and the possibility of being replaced (if necessary) by alternatives. This article aims to analyse the opportunities and risks associated with this group of technologies, with a particular focus on directions for further development.

关键词： Emotion recognition Machine learning algorithms Accuracy Video on demand Speech recognition Machine learning Feature extraction Recording Convolutional neural networks Web sites

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Development of compact size on UWB slot antenna using stair-step impedance with pentangular stub for supporting 5G application 18

Development of compact size on UWB slot antenna using stair-...

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18th International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2021

作者： Suangun, Thanakarn Wongsin, Norakamon Mahatthanajatuphat, Chatree Akkaraekthalin, Prayoot Torrungrueng, Danai Rakluea, Paitoon University of Phayao Faculty of Engineering Department of Electrical Engineering Phayao Thailand Rajamangala University of Technology Thanyahuri Faculty of Engineering Department of Electronics and Telecommunications Pathum Thani Thailand King Mongkut's University of Technology North Bangkok Department of Electrical and Computer Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Department of Teacher Training in Electrical Engineering Bangkok Thailand

ISBN: (纸本)9780738111278

This paper presents a development of a compact ultra-wideband (UWB) slot antenna using stair-step impedance technique with a pentangular stub for 5G application. The proposed antenna is miniaturized and fabricated on a very cheap FR4 substrate with a dimension of 20x22 mm2. Also, the stair-step segments and a pentangular stub in the slot antenna provide improving the impedance bandwidth. The stair-step segments are used to tuning at a lower frequency, and a pentangular stub provides to tuning the higher frequency. The proposed antenna can operate the frequency range between 3.1 GHz to 14 GHz. The radiation pattern is bidirectional throughout the operating frequency range, while the average antenna gain is about 3.5 dBi. © 2021 IEEE.

关键词： Slot antennas

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Suppression of Conducted Emissions in Three-Phase Adjustable Drive Systems

Suppression of Conducted Emissions in Three-Phase Adjustable...

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International Conference on electrical and Electronics engineering, ELECO

作者： Secil Genc Nur Sarma Burcu Gundogdu Okan Ozgonenel Cenk Gezegin Umit Kemalettin Terzi Electrical Electronics Engineering Department Ondokuz Mayis University Samsun Türkiye Electrical Electronics Engineering Department Duzce University Duzce Türkiye Department of Engineering Durham University Durham UK VHS Computer Technologies Hakkari University Colemerik Hakkari Türkiye Department of Electrical And Electronics Engineering Faculty of Technology Marmara University Istanbul Türkiye

The fundamental issue with high switching power converters is electromagnetic interference. The converter design must be electromagnetically compliant for an operation to be secure. Filters play a crucial role in mitigating electromagnetic interference (EMI) within three-phase systems. This paper presents examining the electromagnetic interference associated with a three-phase inverter interconnected to the grid. The reported measurements were taken after the filter and applied with three-phase adjustable drive system for 9-150kHz frequency ranges. Therefore, experimental evidence supports the EMI filter's noise attenuation. In conclusion, the presented study fills in the gaps measuring uncertainties for three-phase emissions, assisting engineers in the design of three-phase converters.

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Optimization with genetic algorithms of individual pitch control design with and without azimuth offset for wind turbines in the full load region

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IFAC-PapersOnLine 2023年第2期56卷 342-347页

作者： Manuel Lara Juan Garrido Jan-Willem van Wingerden Sebastian Paul Mulders Francisco Vázquez Department of Electrical Engineering and Automation University of Cordoba Campus of Rabanales 14071 Cordoba Spain Delft Center for Systems and Control Faculty of Mechanical Engineering Delft University of Technology Mekelweg 2 2628 CD Delft The Netherlands

The reduction of fatigue loadings in wind turbines to increase their lifetime has become of special interest from a control viewpoint. Individual Pitch control (IPC) is a well-known approach used to mainly mitigate periodic blade loads, and it is usually implemented with the assistance of the multi-blade coordinate (MBC) transformation, which transforms and decouples the measured blade load signals from a rotating frame into a non-rotating tilt-axis and yaw-axis. Nevertheless, these axes still show coupling between them in practical scenarios adversely affecting the system performance. Previous studies have demonstrated the benefits of including an extra tuning parameter in the MBC, the azimuth offset, in improving the performance achieved by the IPC. However, the tuning of this parameter and its real improvements that can be obtained compared to the IPC without this offset require more research. Here, two 1P+2P IPC, with and without additional azimuth offset, are designed and applied to the 5 MW reference turbine model developed by NREL using the FAST software as a simulation platform. The controller parameter tuning is formulated as an optimization problem that minimizes the blade fatigue load according to the Dirlik index and that is resolved through genetic algorithms. To fairly analyze the improvement entailed by the addition of the azimuth offset, both optimized IPC schemes, with and without azimuth offset, are compared qualitatively and quantitatively using a classical controller as the baseline case. From the simulation results, it can be stated that the optimal IPC scheme with azimuth offset compared with the IPC scheme without offset achieves improvements of around 11% in load reduction and pitch signal effort.

关键词： control system design control of renewable energy resources wind turbine control individual pitch control genetic algorithms

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control of Reaction-Diffusion Processes Under Communication Delays

Control of Reaction-Diffusion Processes Under Communication ...

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European control Conference (ECC)

作者： Luca Ballotta Juncal Arbelaiz Vijay Gupta Luca Schenato Mihailo R. Jovanović Delft Center for Systems and Control Delft University of Technology Delft The Netherlands Department of Mechanical and Aerospace Engineering Center for Statistics and Machine Learning Princeton University Princeton NJ USA Elmore Family School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Information Engineering University of Padova Padova Italy Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles CA USA

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

In this paper we investigate the design of optimal spatially distributed controllers for a linear and spatially invariant reaction-diffusion process over the real line. The controller receives state measurements from different spatial locations with non-negligible delays. In this set-up and for the class of proportional spatially invariant state feedback controllers, the optimal control synthesis problem is equivalent to a feedback gain optimization for a spatially distributed delay system. We show that the spatial locality of optimal feedback gains is affected not only by diffusion and reaction coefficients, but also by the parameter representing communication time-delay that causes a sharp flattening of the control gains. In the expensive control regime, the optimal controller is solved analytically, yielding some practical design guidelines.

关键词： State feedback Delay systems Design methodology Process control Optimal control Europe Delays

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Using Arduino Iot Modules As A Low Cost Environmental Research Monitoring System 1

Using Arduino Iot Modules As A Low Cost Environmental Resear...

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1st International Conference on computer Science and Emerging Technologies, CSET 2023

作者： Magableh, Murad Marie, Ziyad Mohamed, Rajina R. Bin Ibrahim, Mohd Hafizuddin Jusoh, Julaily Aida Kumar, Rohit Irbid National University Faculty of Business and Financial Science MIS BI and Data Analysis Department Irbid Jordan Al-Istiqlal University Faculty of Administrative Sciences and Informatics Public Administration Department Palestine College of Computing Dan Informatics Universiti Tenaga Nasional Malaysia Politeknik Kuala Terenngganu Department of Electrical Engineering Kuala Terengganu20200 Malaysia UniSZA Faculty of Informatics and Computing Malaysia School of Computer Science and Engineering Jain Deemed to Be University Bangalore India

ISBN: (纸本)9798350341737

Environmental monitoring plays a crucial role in understanding the impact of human activities on our ecosystems. However, the cost and complexity of traditional monitoring systems often hinder widespread deployment, especially in resource-constrained regions. This research paper explores the feasibility and effectiveness of employing Arduino Internet of Things (IoT) modules as a low-cost alternative for environmental research monitoring. The study focuses on designing and implementing an Arduino-based environmental monitoring system capable of gathering real-time data on key environmental parameters, such as temperature, humidity, air quality, and soil moisture. The hardware setup comprises Arduino microcontrollers interfaced with a range of environmental sensors and connectivity modules for data transmission. To assess the system's reliability and accuracy, a series of field experiments were conducted in diverse environmental settings, including urban areas, agricultural zones, and natural habitats. The collected data was compared against measurements from conventional monitoring equipment to validate the Arduino-based system's performance. The research demonstrates that the Arduino IoT modules can effectively monitor and transmit environmental data with a reasonable level of accuracy and stability, making them suitable for various environmental research applications. The low-cost nature of Arduino components and the open-source ecosystem facilitate customization and scalability, enabling researchers and organizations to develop tailored monitoring solutions for specific environmental contexts. Additionally, the paper discusses the challenges and limitations encountered during the deployment of Arduino-based monitoring systems, including power constraints, sensor calibration, and data processing techniques. Furthermore, it explores potential avenues for improvement and optimization to enhance the system's capabilities and data accuracy. In conclusion, this research

关键词： Internet of things

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FPGA Implementation of computer Network Security Protection with Machine Learning 32

FPGA Implementation of Computer Network Security Protection ...

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32nd IEEE International Conference on Microelectronics, MIEL 2021

作者： Todorov, Z. Efnusheva, D. Nikolic, T. Methodius University in Skopje Faculty of Electrical Engineering and Information Technologies Department of Computer Technologies and Engineering Skopje1000 Macedonia University of Niš Faculty of Electronic Engineering Department of Electronics Nis18000 Serbia

ISBN: (纸本)9781665445283

Network intrusion detection systems (NIDS) are widely used solutions targeting the security of any network device connected to the Internet and are taking the lead in the battle against intruders. This paper addresses the network security issues by implementing a hardware-based NIDS solution with a Naïve Bayes machine learning (ML) algorithm for classification using NSL Knowledge Discovery in Databases (KDD) dataset. The proposed FPGA implementation of the Naive Bayes classifier focuses on low latency and provides intrusion detection in just 240ns, with accuracy/precision of 70/97%, occupying 1 % of the Virtex7 VC709 FPGA chip area. © 2021 IEEE.

关键词： Intrusion detection

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Deep Learning of Dynamic Systems using System Identification Toolbox(TM)

arXiv

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arXiv 2024年

作者： Dai, Tianyu Aljanaideh, Khaled Chen, Rong Singh, Rajiv Stothert, Alec Ljung, Lennart MathWorks 1 Apple Hill Drive NatickMA01760 United States Aeronautical Engineering Department Faculty of Engineering Jordan University of Science and Technology Irbid Jordan Division of Automatic Control Department of Electrical Engineering Linkoping University Linkoping Sweden

MATLAB® releases over the last 3 years have witnessed a continuing growth in the dynamic modeling capabilities offered by the System Identification Toolbox™. The emphasis has been on integrating deep learning architectures and training techniques that facilitate the use of deep neural networks as building blocks of nonlinear models. The toolbox offers neural state-space models which can be extended with auto-encoding features that are particularly suited for reduced-order modeling of large systems. The toolbox contains several other enhancements that deepen its integration with the state-of-art machine learning techniques, leverage auto-differentiation features for state estimation, and enable a direct use of raw numeric matrices and timetables for training models. © 2024, CC BY-NC-SA.

关键词： State space methods

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