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Automated Neural Network Design using Genetic Algorithms

Automated Neural Network Design using Genetic Algorithms

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international conference on control systems and computer science (cscs)

作者： Andy-Eduard Cătrună David-Traian Iancu Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

With their ability to analyse and learn from complex data, neural networks have emerged as an ubiquitous machine learning tool with applications in many industries. Despite the success of neural networks in various tasks, obtaining the optimal structure for a specific problem is both time-consuming and difficult because of the large number of hyperparameters that need to be properly selected. To address this issue, this work proposes an approach for automating the design of neural networks through the use of genetic algorithms (GAs). More specifically, the proposed GA-based technique aims to find the optimal Convolutional Neural Network (CNN) architecture and learning-related hyperparameters for the problem of image classification. the approach is evaluated on the MNIST dataset, a widely used benchmark for image classification tasks, on which our top performing architecture obtains an accuracy of 99.35%. these results demonstrate the effectiveness of the proposed approach in terms of finding architectures that outperform those designed by human experts and are competitive with state-of-the-art models. the evaluation results are accompanied by a comprehensive analysis of the evolution of hyperparameters within generations and the changes in network architecture over time, providing insights into how the GA explores the search space. the proposed approach is a step forward in the direction of automating the process of neural network design and its results indicate that it can be a valuable tool for researchers.

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A Digital Twin Based Approach in Healthcare

A Digital Twin Based Approach in Healthcare

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international conference on control systems and computer science (cscs)

作者： Miruna-Elena Iliuţă Eugen Pop Mihnea Alexandru Moisescu Simona Iuliana Caramihai Bogdan Tiganoaia Faculty of Automatic Control and Computers University “Politehnica” of Bucharest Romania

A Digital Twin is envisioned as a natural evolution with regard to the integration of physical and virtual environments with application in various domains such as organization management, products, services, e-health, business intelligence. It consists of a virtual model of a physical object, which dynamically pairs the physical entity with it’s digital replica. the e-health applications are heterogeneous and complex by nature, having a great variability, so is difficult to be managed and monitored through a unique ICT system. A Digital Twin is envisioned to connect the physical world associated to healthcare and the cyber world. Relevant patient and hospital environment information are stored in the Electronic Health Record (EHR). there is an expectation that the traditional Electronic Medical Records, EHR, will be enhanced or even replaced by Digital Twins. this paper discusses a generic Digital Twin based approach in healthcare, which extends the EHR capabilities, within a framework of interoperability that enables the possibility of developing complex e-health applications is presented. Physical collected healthcare information, EHR data and Digital Twin processed outputs are available as services for the users, within a Service Oriented Architecture. the data traffic with the Digital Twin – EHR framework is realized through Web services, which are able to assure security, safety and privacy of the medical transmitted information, in a QoS approach.

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Enhanced Design and Functionalities for the Virtual Patient Educational Platform

Enhanced Design and Functionalities for the Virtual Patient ...

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international conference on control systems and computer science (cscs)

作者： Imad Alex Awada Alexandru Sorici Adina Magda Florea Alexandru Scafa-Udrişte Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania Faculty of Medicine Carol Davila University of Medicine and Pharmacy in Bucharest Bucharest Romania

Within a partnership between the Carol Davila University of Medicine and Pharmacy in Bucharest and the University Politehnica of Bucharest, an educational web-based platform is being developed. the platform enables medical students to virtually reproduce the interactions that they usually have with patients in hospitals, through an avatar in clinically valid scenarios. Students can interact with virtual patients through text and speech interactions. they can access the health records of the virtual patients, perform objective exams, request and analyze medical investigations, elaborate treatment plans and provide diagnoses. they can receive feedback from a professor in real time or after the end of the session. the platform integrates various tools that professors can use to provide feedback, generate scenarios, manage the medical data on the platform and annotate the data. In the current stage of the implementation, the platform supports English and Romanian languages, it incorporates some customizable features, a user ranking system and a scoring system that evaluates and scores each session of the student and rewards the student with points. the scoring system takes into consideration the feedback provided by the professor, who may manually adjust the final score (if he/she desires).

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Energy Consumption Analysis of Elliptic Curve Cryptography Middleware Broker for MQTT Application in IoT systems 24

Energy Consumption Analysis of Elliptic Curve Cryptography M...

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24th international Arab conference on Information Technology, ACIT 2023

作者： Yusoff, Zainatul Yushaniza Mohamed Ishak, Mohamad Khairi Rahim, Lukman Ab Ammar, Khalid Yusof, Shafiz Affendi Mohd School of Electrical and Electronic Engineering Universiti Sains Malaysia Penang Nibong Tebal Malaysia Department of Computer Engineering Ajman University United Arab Emirates Universiti Sains Malaysia Penang Nibong Tebal Malaysia Faculty of Science and It Universiti Teknologi Petronas Seri Iskandar Perak Malaysia Ajman University United Arab Emirates

ISBN: (纸本)9798350384307

the Internet of things(IoT)has become an expansion of connected smart devices from small sensors to complex fog and cloud nodes and various network technologies and communication protocols. Devices, including Intelligent Home Health Care, will infiltrate our lives in various application areas. the Internet of things provides what is in the physical world the ability to interact with the Internet. However, due to their vulnerability, these connected devices offer new security challenges that can be overcome by performing strong validation and access control patterns. In this article, we propose to monitor and allow the use of middleware broker platforms, work, and resources effectively and use ECC for asymmetric monitoring. the security analysis demonstrates a robust resistance to common attacks, bolstered by the fact that each device operates within the energy constraints of just 4mJ, as stipulated by the original protocol. © 2023 IEEE.

关键词： Authentication Confidentiality ECC Integrity Internet of things Lightweight cryptography MQTT Security

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Integrating Blockchain Technology in a Cyber Physical System to Secure Data

Integrating Blockchain Technology in a Cyber Physical System...

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international conference on control systems and computer science (cscs)

作者： Balaban Bèatrix-May Sacală Ioan Ştefan Petrescu-Niţă Alina-Claudia Niţă Răzvan Department of System Engineering Faculty of Automatic Control and Computers Politehnica University of Bucharest Romania

Considering the constant growth and evolution of technology, being able to secure data is a challenge. this is why researchers find this a top research topic. Cyber-Physical systems are complex, large-scale systems that can be found in domains like healthcare, transportation, industrial controls systems or smart grids. Having many components that interact with each other, we can observe here the challenge in maintaining a secure environment for the data as data tampering or data extraction can occur, for example, in the actual transportation of data from one device to another. the main focus of this paper is to give an answer if blockchain technology provides a solution in building a secure network. We give a short review of the related work regarding blockchain integration in large-scale systems like Cyber-Physical systems. It was also briefly analyzed the layered structure of a blockchain and discussed some solutions for each layer. We then discussed about consensus algorithms for validation and authentication process. In general, consensus algorithms are implemented to assure the validation process of the nodes in a network. In this paper we tried to analyze and propose a model that offers an extra layer of security by adding the authentication step. In this way, the nodes that are validated are also considered trusted nodes in the network.

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24th international conference on Product-Focused Software Process Improvement, PROFES 2023

24th International Conference on Product-Focused Software Pr...

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24th international conference on Product-Focused Software Process Improvement, PROFES 2023

ISBN: (纸本)9783031492655

the proceedings contain 16 papers. the special focus in this conference is on Product-Focused Software Process Improvement. the topics include: Speech therapy Supported by AI and Smart Assistants;integration of Classical and Quantum Services Using an Enterprise Service Bus;problem Decomposition to Leverage Quantum Computing for Optimization Problems;quantum Algorithm Cards: Streamlining the Development of Hybrid Classical-Quantum Applications;simulation-Based Safety Testing of Automated Driving systems;utilization of Machine Learning for the Detection of Self-admitted Vulnerabilities;closing the Loop: Towards a Complete Metamorphic Testing Pipeline;declarative Process Mining for Software Processes: the RuM Toolkit and the Declare4Py Python Library;MaREA: Multi-class Random Forest for Automotive Intrusion Detection;forecasting the Developer’s Impact in Managing the Technical Debt;development of a Desktop Application to Enable Doctors to Remotely Monitor Patients’ Hematological Parameters;the Significance of Classical Simulations in the Adoption of Quantum Technologies for Software Development;Enhancing Bug-Fixing Time Prediction with LSTM-Based Approach;enhancing Code Obfuscation Techniques: Exploring the Impact of Artificial Intelligence on Malware Detection.

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An Effective Voltage control Approach for Distribution systems with High Penetration of Renewable Energy Resources 24

An Effective Voltage Control Approach for Distribution Syste...

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24th international Middle East Power System conference, MEPCON 2023

作者： Bedawy, Ahmed Sasaki, Yutaka Zoka, Yoshifumi Yorino, Naoto South Valley University Faculty of Engineering Department of Electrical Engineering Qena Egypt Hiroshima University Graduate School of Advanced Science and Engineering Higashi-Hiroshima Japan Kure College Kure Japan

ISBN: (纸本)9798350358469

Voltage control becomes a crucial challenge as the penetration of renewable energy sources (RESs) increases in distribution systems. the intermittent and variable nature of RESs like solar and wind power can lead to several voltage problems, which can have detrimental effects on the stability and reliability of the distribution networks. this paper introduces a promising cooperative voltage control (CVC) technique for distribution systems with renewable-based distributed generations (DGs). the objectives of the CVC technique are regulating the voltages within the standard limits, maximizing the DGs' power generation, and decreasing the number of control operations of the voltage control devices in the distribution systems. the proposed CVC consists of two control stages;the DG prosumers perform the first control stage, whereas the step voltage regulators manage the second stage. this paper describes only the first stage, the DG prosumers control stage, using a proposed target nodal voltage control (TNVC) approach. the TNVC approach aims to maximize the DG's powers and mitigate the overvoltage problem using the optimized nodal voltage as a control signal. Our approach includes a unique feature that effectively reduces control performance degradation caused by infrequent data exchange among agents. the simulation results confirm the control performance of the proposed TNVC approach in achieving the desired objectives. © 2023 IEEE.

关键词： Distributed power generation

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Classification of Skin Lesions from Dermatoscopic Images Using Convolutional Neural Networks

Classification of Skin Lesions from Dermatoscopic Images Usi...

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international conference on control systems and computer science (cscs)

作者： Maria Oniga Alina-Elena Sultana Dan Popescu Daniel-Marian Merezeanu Loretta Ichim Faculty of Automatic Control and Computer Science University Politehnica of Bucharest Bucharest Romania Faculty of Electronics Telecommunications and Information Technology University Politehnica of Bucharest Bucharest Romania “St. S. Nicolau” Institute of Virology Bucharest Romania

Skin cancer is one of the most common types of cancer, and it is caused by a variety of dermatological conditions. Identifying abnormalities from skin images is an important pre-diagnostic step to assist physicians in determining the patient’s condition. thus, to aid dermatologists in the diagnosis process, we proposed five CNN-based classification approaches namely ResNet-101, DenseNet-121, GoogLeNet, VGG16, and MobileNetV2 architectures on which the transfer learning process was applied. the HAM10000-N database consisting of 7,120 images, which was obtained from the original HAM10000 dataset through an augmentation process, was used to train the proposed methods. Moreover, the images from the HAM10000-N were pre-processed by removing hair with the DullRazor algorithm. To evaluate and compare the performance of all networks five metrics were calculated: accuracy, precision, recall, and Fl-score. the best results for the seven-class classification of the HAM10000-N dataset were obtained for DenseNet-121 architecture with 87% accuracy, 0.871 precision, 0.87 recall and 0.872 F1-score.

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A Time-Varying Driving Style Oriented Model Predictive control for Smoothing Mixed Traffic Flow 24

A Time-Varying Driving Style Oriented Model Predictive Contr...

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24th COTA international conference of Transportation Professionals: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024

作者： Lou, Haoli Cheng, Rongjun Faculty of Maritime and Transportation Ningbo Univ. Ningbo China Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies Nanjing China

ISBN: (数字)9780784485484

ISBN: (纸本)9780784485484

Connected and automated vehicles (CAVs) have great potential to smooth mixed traffic flow. To focus on the fact that the driving styles of HDVs are time-varying, a new control framework based on time-varying model predictive control (MPC) is proposed for mixed traffic flow in longitudinal control. Firstly, calibrating the parameters of car-following model based on genetic algorithm with the offline trajectory data as HDVs’ long-term driving style. Secondly, the short-term driving style is recognized by modifying the long-term driving style based on the real-time trajectory data. then, a time-varying MPC control framework was proposed for smoothing mixed traffic flow. Finally, compared to the baseline model, the method we proposed achieves high performance both in fuel consumption and driving comfort in an emergence braking scenario. Numerical results show that the fuel consumption reduced by over 11.28% in a large-scale traffic system with a 17%–33% penetration rate of CAVs based on our method. © ASCE.

关键词： Predictive control systems

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24th international conference on Product-Focused Software Process Improvement, PROFES 2023

24th International Conference on Product-Focused Software Pr...

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24th international conference on Product-Focused Software Process Improvement, PROFES 2023

ISBN: (纸本)9783031492686

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