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Performance Comparison of Lightweight CNN Models for Drone Collision Avoidance Dataset

Performance Comparison of Lightweight CNN Models for Drone C...

International Conference on electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Rifqi Nabila Zufar David Banjerdpongchai Department of Electrical Engineering Faculty of Engineering Center of Excellence in Intelligent Control Automation of Process Systems Chulalongkorn University254 Phayathai Road Pathumwan Bangkok Thailand

Collision Avoidance System (CAS) is important for drone safety. CAS consists of three steps e.g., obstacle sensing, collision prediction, and collision avoidance. Collision prediction enables drones to gain information, process information, and estimate whether the object has a risk of collision. Convolution Neural Network (CNN) is one of the methods that can be employed for collision prediction. However, CNN is a method that needs a large data in the training. Dario Pedro et al. provided a dataset called the CoLANet dataset that consists of VDOs of collision drones. Subsequently, they proposed a new algorithm called Neural Network Pipeline which has a Convolution Neural Network (CNN) part to extract the feature from a couple of images. CNN extracts images by using MobileNetV2 as a pre-trained model. They chose MobileNetV2 due to training performance from another dataset. This paper aims to assess the performance of lightweight CNN models using the CoLANet dataset. The models will be trained on the Keras library with parameters of fewer than ten million. The models will be validated by Confusion Matrix and Receiver Operating Characteristics. In conclusion, we examine which pre-trained CNN model has the best performance and suggest ongoing work.

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A Review of Energy Management System Strategies for AC microgrids operating in islanded mode

A Review of Energy Management System Strategies for AC micro...

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Electronic engineering (ICEEM), International Conference on

作者： M. S. Elborlsy R. M. Mostafa M. A. Ghalib Hossam E. Keshta Process Control Technology Dept. Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Department of Electrical Engineering Faculty of Engineering at ShoubraBenha University Benha Egypt

The electricity demand is increasing due to environmental concerns, and economic benefits, leading to a shift towards renewable energy sources. However, the intermittent nature of renewables makes forecasting difficult. Microgrids ran help integrate small-scale renewable energy sources, energy storage systems, and non-renewable sources to address this challenge. Demand varies based on factors like time, location, season, climate, and resource availability. The primary aim of this research is to offer a thorough analysis of the latest advancements in isolated Alternating current (AC) microgrids, focusing on discussing Energy Management System (EMS) strategies. Specifically, the study emphasizes the integration of hybrid Renewable Energy Resources (RERs) with Energy Storage Systems (ESSs). Additionally, the paper presents potential research directions and future trends in this field.

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Intelligent PI controller for Frequency Enhancement of a Diesel-PV-Battery-Based islanded AC microgrid

Intelligent PI Controller for Frequency Enhancement of a Die...

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International Middle-East Power System Conference, MEPCON

作者： M. S. Elborlsy R. M. Mostafa Hossam E. Keshta Mohamed. A. Ghalib Process Control Technology Dept. Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Department of Electrical Engineering Faculty of Engineering ShoubraBenha University Benha Egypt

Smart and flexible control is needed in contemporary electrical *** maintain a balance between power generation and usage, especially during major disruptions. Microgrids primarily rely on naturally fluctuating renewable energy sources (RES) for electricity generation. Power system fluctuations make traditional controllers inadequate for optimal performance across Diverse operational scenarios. To enhance frequency performance in an isolated AC microgrid, this paper focuses on a fuzzy PI (FPI) controller that can adjust control measures for fluctuating frequency in the face of uncertainties such as abrupt load changes and variation in solar irradiance. A comparative study was conducted to demonstrate the superior performance of the FPI in regulating frequency in an isolated AC microgrid system.

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In-Silico Validation of Insulin Sensitivity Prediction by Neural Network-based Quantile Regression

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IFAC-PapersOnLine 2024年第24期58卷 368-373页

作者： Omer S. Alkhafaf Ameer B. Alsultani Alaa N. Roel Bálint Szabó Petra Pintár Ákos Szlávecz Béla Paláncz Katalin Kovács J. Geoffrey Chase Balázs Benyó Budapest Univ. of Tech. and Eco. Fac. of Electrical Eng. and Information Tech. Dept. of Control Eng. and Information Tech. Budapest Hungary Department of Mechanical Engineering University of Canterbury Christchurch New Zealand. Szechenyi István University Faculty of Informatics and Electrical Engineering Department of Informatics Gyor Hungary Faculty of Dentistry University of Mosul Mosul Iraq

High blood glucose levels and stress-induced hyperglycemia are common issues in intensive care units (ICU). controlling blood glucose levels is crucial but challenging due to patient-specific variability. This challenge was addressed by developing model-based control protocols, which rely on identifying and predicting the patient-specific metabolic state. This study presents the in-silico simulation-based evaluation of a new artificial neural network-based insulin sensitivity (SI) prediction method. The models were trained on a dataset collected during clinical treatment using the stochastic-targeted (STAR) protocol and evaluated by simulating the clinical interventions on virtual patients created from retrospective clinical data. The results show the new models could be safely applied for SI prediction. Furthermore, the adopted method had very similar accuracy in the overall comparison of cohorts, with only minor differences noted in hypoglycemia events.

关键词： Quantile Regression Insulin Sensitivity Glycaemic control Intensive Care Unit In-silico patients

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Dynamic Analysis and Circuit Design of a New 3D Highly Chaotic System and its Application to Pseudo Random Number Generator (PRNG) and Image Encryption

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SN Computer Science 2024年第4期5卷 1-17页

作者： Sambas, Aceng Benkouider, Khaled Kaçar, Sezgin Ceylan, Nurdoğan Vaidyanathan, Sundarapandian Sulaiman, Ibrahim Mohammed Mohamed, Mohamad Afendee Ayob, Ahmad Faisal Mohamad Muni, Sishu Shankar Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Campus Besut Terengganu Kuala 22200 Malaysia Department of Mechanical Engineering Universitas Muhamadiyah Tasikmalaya Tamansari Gobras Tasikmalaya 46196 Indonesia Department of Electronics Faculty of Technology Badji-Mokhtar University B.P. 12 Sidi Ammar Annaba 23000 Algeria Department of Electrical and Electronics Engineering Sakarya University of Applied Sciences Serdivan Sakarya 54050 Turkey Department of Mechanical Engineering Adıyaman University Merkez Adıyaman 02040 Turkey Centre for Control Systems Vel Tech University Tamil Nadu Chennai 600062 India School of Quantitative Science University Utara Malaysia Sintok Kedah Bukit Kayu Hitam 06010 Malaysia Faculty of Education and Arts Sohar University Sohar 311 Oman Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Gong Badak Terengganu Kuala Terengganu 21300 Malaysia Department of Physical Sciences Department of Physical Sciences Indian Institute of Science Education and Research Mohanpur Kolkata 741246 India

In this paper, a new 3D dynamical system with four quadratic nonlinear terms is presented. It is shown that the proposed chaotic system has two saddle-foci, unstable, equilibrium points. Thus, the proposed chaotic system exhibits self-excited chaotic attractors. Dynamical analysis methods such as Lyapunov exponents spectrum, bifurcation diagrams, and phase portraits are used to explore the complex dynamical behaviors of the proposed chaotic system and analyze its basic qualitative properties. It is shown that the maximal Lyapunov exponent (MLE) of the new chaotic system is 7.196, which is a high value. The proposed highly chaotic system exhibits high complexity and it will be very useful for applications in cryptography, encryption and secure communications. The physical feasibility of the proposed system is verified by implementing its electronic circuit schematic using Multisim software. Additionally, a PRNG has been developed using the derived state variables and analyze with NIST-800–22 test. Lastly, we developed a PRNG-based image encryption and employ it for an encryption. The experimental outcomes obtained prove that the 3D chaotic system-based encryption application presented in this section has a very good performance. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： Chaos Image encryption Pseudo random number generator

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Comparison between Cuckoo Search algorithm and Grey Wolf Optimizer Algorithm on Photovoltaic Models Performance 23

Comparison between Cuckoo Search algorithm and Grey Wolf Opt...

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23rd International Middle East Power Systems Conference, MEPCON 2022

作者： Elzalik, M. Enany, Taha A. Said, Mokhtar Hassan, Amir Y. Beni-Suef University Faculty of Technology and Education Department of Process Control Technology Beni-Suef Egypt Egyptian Holding Company for Silo and Storage Maintenance Engineer Beni-Suef Egypt Fayoum University Faculty of Engineering Department of Electrical Engineering Fayoum Egypt Electronics Research Institute Department of Power Electronics and Energy Conversion Cairo Egypt

ISBN: (纸本)9781665463638

Solar radiation acts as one of the most significant clean energy sources, and this solar energy transforms into electricity through photovoltaic (PV) cell. Analysis of a PV cell performance is dependent on its P-V and I-V characteristics that are dependent on number of parameters which must be estimated to evaluate the simulation data aligned with the experimental data. These parameters are according to the solar cell model;five unknown's parameters for single diode model (SDM) and seven unknown's parameters for double diode model (DDM). Grey wolf (GW) and Cuckoo search (CS) optimization algorithms are offered to extract these parameters. the performance of RTC-France PV-cell is compared with the two proposed algorithms. The result approved that the CS algorithm has a superior performance when compared with GW algorithm. © 2022 IEEE.

关键词： Solar cells

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Design and Implementation of Needle Steering System 11

Design and Implementation of Needle Steering System

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11th IEEE International Conference on control System, Computing and engineering, ICCSCE 2021

作者： Shaaban, Abdel-Salam Ali, Ahmed S. Mostafa, R. El-Samie, Fathi E. Abd Beni-Suef University Faculty of Technology and Education Department of Process Control Technology Egypt Assuit University Faculty of Engineering Department of Mechanical Engineering Egypt Menoufia University Faculty of Electronic Engineering Department of Electronics and Electrical Communications Engineering Menouf32952 Egypt

ISBN: (纸本)9781665412810

The insertion of a needle for many scientific researches is an important aspect to consider and is the simplest and most diagnostic of the medical and interventional procedures. In needle based medical procedures, a flexible needle is directed at the soft tissue to achieve a predefined target position. The efficiency of the needle insertion depends on the precise control of the tip of the needle. This article provides a complete mechanical model for inserting needles into soft tissues. The proposed needle insertion model depends on the insertion speed as the input, which can then be used as a needle direction control. The model considers the length of needle and bevel angle. Various experiments were performed that inserts a needle into biological tissue. The results show the accuracy of the proposed system at different application speeds with an error of up to 2 mm. © 2021 IEEE.

关键词： Needles

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Fundamental physico-chemical and mechanical analysis of different clay types

Fundamental physico-chemical and mechanical analysis of diff...

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2020 International Conference on Applied Sciences, ICAS 2020

作者： Aluvihara, Suresh Kalpage, C.S. Lemle, L.D. University of Peradeniya Faculty of Engineering Department of Chemical and Process Engineering Peradeniya20400 Sri Lanka Politehnica University of Timisoara Department of Electrical Engineering and Industrial Informatics 5 Revolution street Hunedoara331128 Romania

Clay plays an important role in the most of industries that related with water treatment and food stowage industries. The adequate physic-chemical properties are the most recognized factor for the wide range of applications. The investigation of the fundamental physic-chemical and some mechanical properties of such clay is an insistent task before the selection of some material for some specific role. The analysis of the fundamental physic-chemical and grain size analysis of grain sizes of three different types of selected clays were the aims and objectives of the existing research. Clay samples were collected from three different locations in Sri Lanka and they were stored well. The clay samples were named as anthill clay, brick clay and roof tile clay. Some potion from each clay sample was separated and such separated clay samples were oven dried for 24 hours under the temperature 110 C. Each of dried clay sample was separated again and the separated portions were prepared for the test of moisture content, dry sieve analysis and wet sieve analysis. As the major results of the experiment, especially there were obtained 14.49%, 21.45% and 25.97% moisture contents with respect to anthill, brick and roof tile clays, well-graded particle arrangement in roof tile clay, gap graded particle arrangement in anthill clay and uniformly graded particle arrangement in brick clays. In addition, according to the obtained results there were seen the finer particle weight percentages as 59.90%, 37.36% and 72.38% with respect to anthill clay, brick clay and roof tile clay. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Moisture

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Estimating the AGV load and a battery lifetime based on the current measurement and random forest application

Estimating the AGV load and a battery lifetime based on the ...

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IEEE International Conference on Big Data

作者： Krzysztof Hanzel Damian Grzechca Adam Ziebinski Lukas Chruszczyk Artur Janus Department of Telecommunications and Teleinformatics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Electronics Electrical Engineering and Microelectronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Distributed Systems and Informatics Devices Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Student of Electrical Engineering Faculty of Electrical Engineering Silesian University of Technology Gliwice Poland

The paper describes the energy consumption from the battery based on the current measurements for various cases, i.e., speed (PWL adjustment) and loads. The main purpose of the research is to have additional and reliable information about power consumption and battery life estimation for autonomous guided vehicles (AGV). The authors propose a two-step algorithm. In the first step, a linear classifier was proposed. Then, the KNN classifier was tested; however, it did not give satisfactory results, so it was finally decided to use the random forest to estimate the load and PWL. The time domain current measurement is evaluated, and the beforementioned algorithms process the selected statistical measures. It has been proven that a two-step algorithm allows for achieving high accuracy. Based on the current observation, the paper is a good starting point for further investigation of the AGV because it is usually implemented in the AGV – so it does not require additional hardware. Moreover, it can lead to better energy management and increase battery lifetime.

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Application of mixed graph traversal optimization for the vehicle routing problem

Application of mixed graph traversal optimization for the ve...

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European control Conference (ECC)

作者： Lá szló Kocsá ny Emese Gincsainé Szá deczky-Kardoss Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary

ISBN: (数字)9783907144077

ISBN: (纸本)9781665497336

The Vehicle routing problem (VRP) is widely discussed in the literature. The goal of the VRP is to provide an optimized traversal of a graph. This paper presents a mixed graph traversal optimization for the VRP. The mixed graph is a graph that contains both directed and undirected edges. The problem to be solved is a parking space search problem in a mixed graph where, from an initial location a vehicle first navigates to a zone, where the selected edges are located, and plans the traversal driving through all selected edges, and returning to the start of the exploration so that the path is repeatable. The paper shows, that the parking space search problem in a mixed graph can be reduced to a travelling salesman problem (TSP), for which an ant colony optimization (ACO) is implemented, to provide a solution, that is minimizing the total cost of the mixed graph traversal.

关键词： Space vehicles Costs Navigation Roads Vehicle routing Europe Directed graphs

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