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23rd RoEduNet Conference: Networking in Education and Research, RoEduNet 2024

作者： Gul, Farhad Ali Irinel Tudose, Dan Turcanu, Tatiana National University of Science and Technology POLITEHNICA Bucharest Faculty of Automatic Control and Computers Bucharest Romania Technical University of Moldova Chişinǎu Moldova

ISBN: (纸本)9798331540388

This paper presents the design and development of a versatile IoT development board, capable of interfacing with a variety of sensors for environmental interaction. The selection and integration of components, circuit design considerations, and generation of a 3D-printable enclosure are discussed in detail. A theoretical power consumption analysis is provided, along with test programs to validate board functionality. Furthermore, the paper explores the board's integration with a popular programming framework, demonstrating its compatibility and potential for scalable applications. A specific example of gait-based person recognition is presented, utilizing a multi-node network of these boards to collect and process data for biometric identification. © 2024 IEEE.

关键词： Integrated circuit design

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Mobile Air Quality Monitoring Device 23

Mobile Air Quality Monitoring Device

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23rd RoEduNet Conference: Networking in Education and Research, RoEduNet 2024

作者： Dinica, Mihnea Tudose, Dan Ruse, Laura Pitale, Abhinuv National University of Science and Technology POLITEHNICA Bucharest Faculty of Automatic Control and Computers Bucharest Romania Google San DiegoCA United States

ISBN: (纸本)9798331540388

Air pollution represents a continuously increasing environmental issue which poses significant health and ecological related risks globally. It results from a complex mixture of pollutants, including, but not limited to: particulate matter (PM), carbon dioxide (CO2), sulfur dioxide (SO2) or volatile organic compounds (VOCs) that originates from industrial activities and vehicular emissions. Exposure to surrounding pollution is almost unavoidable in today's society context, but one solution to limit its impact on one's health would be to avoid highly polluted areas as much as possible. We propose a new and low-cost wearable hardware solution that is able to track these harmful air pollutants in real time and send measurements and alerts. Multiple devices can track pollution over a large city-wide area and deliver air quality measurements that can be accessed by anyone. The developed device is housed in a small-sized, modular enclosure, that offers interchangeable mounting brackets for various use case scenarios: body-worn, bicycle-mounted, etc. This way, the user is able to employ these devices in daily activities and adjust one's normal route when commuting in the city to minimise the risks related to pollution exposure. © 2024 IEEE.

关键词： Sulfur dioxide

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Efficient Detection of Invasive Stink Bugs Using Convolutional Neural Networks 31

Efficient Detection of Invasive Stink Bugs Using Convolution...

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31st Telecommunications Forum, TELFOR 2023

作者： Dinca, Alexandru Angelescu, Nicoleta Ichim, Loretta Serghei, Trandafir-Liviu Popescu, Dan National University of Science and Technology Politehnica Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania Valahia University of Targoviste Faculty of Electrical Engineering Electronics and Information Technology Targoviste Romania

ISBN: (纸本)9798350303131

Timely pest detection and identification is critical as part of modern agriculture. Halyomorpha Halys is a prevalent pest with proven harmful impacts on numerous crops and agricultural regions. The paper proposes an efficient model to improve the detection of two invasive stink bugs: Halyomorpha halys and Nezara Viridula. automatic detection of these two bugs is essential in various fields, such as precision agriculture and integrated pest management. The high performances obtained in the present study open new perspectives for the further development of insect pest detection systems and can serve as a basis for future modifications and improvements of these models. © 2023 IEEE.

关键词： Convolutional neural networks

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Enhancing neural network with LIDAR data for navigation 24

Enhancing neural network with LIDAR data for navigation

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24th International Conference on control Systems and computer science, CSCS 2023

作者： Baicu, Diana Craciunescu, Mihai Duvinage, Thomas Mocanu, Stefan University Politehnica of Buchaerst Faculty of Automatic Control and Computer Science Bucharest Romania University of Belfort Montbéliard Belfort France

ISBN: (纸本)9798350313390

In this paper, a method of fusing distance information and camera data is presented, the objective being that of combining LIDAR measurements with the output of a segmentation neural network, applied on the merged image from three frontal cameras, for navigating in an indoor environment. Usually, these types of environments are not structured, being diverse in their composition: for example, some buildings have more glass walls and doors, others might have large corridors and concrete structures. The proposed fusing method is used for reducing the errors generated by both techniques individually, which is then applied to control the trajectory of an electric wheelchair, as well as to gather a dataset of corrected and annotated images for reducing the dependency on the LIDAR data in the future. © 2023 IEEE.

关键词： Cameras

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Interoperability Framework for Cyber-Physical Systems Based Capabilities 24

Interoperability Framework for Cyber-Physical Systems Based ...

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24th International Conference on control Systems and computer science, CSCS 2023

作者： Pop, Eugen Iliuta, Miruna-Elena Constantin, Nicolae Gifu, Daniela Dumitrascu, Alexandru University 'Politehnica' of Bucharest Faculty of Automatic Control and Computers Romania Institute of Computer Science Romanian Academy Iasi - Branch Romania

ISBN: (纸本)9798350313390

Cyber-Physical Systems represent digital systems based mainly on the interconnection between the physical world and cyberspace. Physical processes are controlled and monitored through networked computers. Feedback loops between the physical and computing environment are involved, including sensors and actuators. Thus, the CPS design involves the analysis of the interrelated dynamical physical processes, computation resources, networks, and software. CPS is application-oriented, by its nature so the necessity of available services composition appears frequently. The CPS services, resources and capabilities can be placed at the system and node level. In this context, the Communication Cost is an important performance criteria for accessing their resources, even in a composite form. In this paper an interoperability framework, for Cyber-Physical Systems capabilities, using REST and SOAP web services is presented. The interoperability capabilities of the framework are ensured by both of the convergence of IP and non-IP networks for services access and by the services composition facilities. For a scenario of multiuser access at the composed services, the interoperability framework response time is evaluated, because it brings an important contribution in the determination of Communications Cost, in a QoS approach. © 2023 IEEE.

关键词： Web services

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Low-cost air pollution monitoring systems

Low-cost air pollution monitoring systems

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Silvian-Marian Petrică Ioana Făgărășan Iulia Stamatescu Nicoleta Arghira Radu-Nicolae Pietraru Faculty of Automatic Control and Computer Science Politehnica of Bucharest Bucharest Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

Recently, discussions on air pollution have escalated due to its harmful impact on human health. More and more often we meet a remarkable interest in air quality monitoring, the society we are living in is increasingly approaching methods of acquiring and installing weather and air quality monitoring stations in different locations, whether we are talking about urban or rural areas. While traditional air quality monitoring systems are slightly outdated and they have limitations in providing real-time data at a reasonable cost, technological advances such as the Internet of Things (IoT) offer promising solutions for efficient monitoring in terms of costs, time and energy consumption. Thus, currently smart cities manage to successfully integrate both hardware and software devices to establish complete air quality monitoring systems. This paper proposes an extensive state-of-the-art and a synthesis on the environmental parameters and the air quality index obtained through certain current methods of air quality *** overcome today’s pollution monitoring systems drawbacks, the air quality index (AQI) was defined according to EU and World Health Organization standards. The AQI was computed based on three different databases in a proposed online application for pollution monitoring and analysis. The calculation method of AQI with existing monitoring systems was compared with current standards AQI for a clear and uniform view of air quality.

关键词： Costs Smart cities Soft sensors Standards organizations Air quality Air pollution Indexes Internet of Things Monitoring Standards

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Security Issues in Software-Defined Networking (SDN) Environments 23

Security Issues in Software-Defined Networking (SDN) Environ...

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23rd RoEduNet Conference: Networking in Education and Research, RoEduNet 2024

作者： Yalda, Khirota Gorgees Hamad, Diyar Jamal Tapus, Nicolae Okumus, Ibrahim Taner Politehnica University of Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania Erbil Polytechnic University Kurdistan Region IT Department Soran Technical College Erbil Iraq Kahramanmaras Sutcu Imam University Kahramanmaras Computer Engineering Faculty of Engineering Turkey

ISBN: (纸本)9798331540388

Software-Defined Networking (SDN) represents a significant shift in network architecture, providing exceptional programmability, flexibility, and simplified management. However, this paradigm shift introduces a unique set of security challenges that must be addressed to fully realize the potential of SDN. This paper examines the security issues in SDN environments, detailing the threats and vulnerabilities at various layers of the SDN architecture, including the control plane, data plane, and application plane. Through an extensive review of current literature, critical security challenges such as controller attacks, data plane breaches, and vulnerabilities in inter-plane communications are identified. Existing security solutions and mitigation strategies, such as authentication and authorization mechanisms, encryption techniques, and intrusion detection systems, are also explored. Furthermore, the paper discusses recent advances and emerging trends in SDN security, offering insights into ongoing research and future directions. The findings underscore the importance of robust security measures in ensuring the reliability and integrity of SDN deployments, providing a foundation for future innovation and development in this dynamic field. © 2024 IEEE.

关键词： Network intrusion

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Using digital twins in health care

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and computer science 2021年第4期83卷 53-62页

作者： Boată, Adriana Angelescu, Radu Dobrescu, Radu Department of Automatic Control and Industrial Informatics Faculty of Automatic Control and Computer Science University POLITEHNICA of Bucharest Romania

This paper aims to summarize the progress made in the use of the Digital Twin (DT) concept for choosing the right drug for a person, as well as presenting a subnet model that predicts existing drugs for a particular pathology, based on genetic expressions involved in the disease, and genes addressed by therapy. Finally, as a result of the research, the paper discusses how the proposed method can be applied to search for a medication for the disease caused by the Covid 19 virus, with reference to the results of some clinical trials conducted after the onset of the pandemic. © 2021, Politechnica University of bucharest. All rights reserved.

关键词： Gene expression

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ChatGPT vs Sarcasm - How Well do State of the Art Language Models Handle Sarcasm? 9

ChatGPT vs Sarcasm - How Well do State of the Art Language M...

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Alexandru-Costin, Bǎroiu Matu Ştefan, Trǎuşan Politehnica University of Bucharest Faculty of Automatic Control and Computer Science Bucharest060042 Romania Research Institute for Artificial Intelligence 'Mihai Draganescu' of the Romanian Academy Bucharest050711 Romania

ISBN: (纸本)9798350311402

The work presented in this paper highlights the ability of state-of-the-art Large Language Models to generate sarcasm. In the recent months, ChatGPT has become increasingly popular and has started a new wave of interest in AI, especially on the non-scientific community. The model has displayed incredible feats, capable of producing human level results in a variety of tasks. To this end, sarcasm generation comes as a natural evaluation of the model's performance, as it was proven to be a highly difficult task, even for humans. As such, ChatGPT was tested in three experimental setups, no instructions, instructed to be sarcastic and instructed to impersonate a sarcastic character. The results generated by the model were benchmarked with a previous version, GPT2. Quantitative and qualitative analyses of the results were conducted, with ChatGPT achieving the highest BLEU score and generating the best results, outclassing its predecessor. © 2023 IEEE.

关键词： Computational linguistics

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Optimizing Artificial Neural Networks Trough Weight Adjustments 28th

Optimizing Artificial Neural Networks Trough Weight Adjustme...

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28th International Conference on Knowledge Based and Intelligent information and Engineering Systems, KES 2024

作者： Akber, Syed Muhammad Abrar Szczesna, Agnieszka Kazmi, Sadia Nishat Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice44-100 Poland Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice44-100 Poland

Longer training times pose a significant challenge in artificial neural networks (ANNs) as it may leads to increasing the computational costs and decreasing the effectiveness of the model. Therefore, it is imperative to reduce training times in ANNs to enhance the computational efficiency. The initialization of the weights between the layers in ANN plays a vital role in reducing training times. Appropriate weight initialization can help the network converge faster during the training by providing an optimum starting point for the network. Therefore, weight initialization techniques are essential for efficient training of ANNs. This paper revisits and implements different popular weight initialization techniques in ANNs and analyzes their impact on training time. Specifically, this paper implements Gaussian-based, Kaming-based, and Xavier-based weight initiation atop a popular DNN-based network. The experiments are conducted by employing a well-known dataset. The results show that the scenario when no weight initiation is applied consumed the highest training time, whereas different weight initiation techniques contribute in reducing the training times for the network. © 2024 The Authors.

关键词： Deep neural networks

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