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检索条件"机构=Automatic Control and Informatics"

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Improving the Security of a Webservice: Best Practices and Attack Simulations 23

Improving the Security of a Webservice: Best Practices and A...

引用

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

作者： Anghel, Ana Magdalena Mihalache, Daniel-Cristian Melnic, Radu POLITEHNICA University Faculty of Automatic Control and Computers Automatic Control and Industrial Informatics Department Bucharest Romania Technical University of Moldova Faculty of Computers Informatics and Microelectronics Moldova

ISBN: (纸本)9798331540388

Most of the nowadays applications are client-server based. Exposing a webservice is a common practice, but the question is: what happens when the webservice is exposed from a low-level programming language? How can we manage to avoid the most common mistakes which can introduce vulnerabilities into the application? This paper focuses not only on some of the best practices when developing a webservice using C++, but also on improving the security of that webservice. We proposed a series of methods to enhance the security of the application and some of them were validated using an empirical approach. Through comprehensive testing and analysis into a controlled environment, we confirmed that using a digital certificate on the server side can minimize the impact of the famous 'man-in-The-middle' attack. We simulated two types of attacks on the developed webservice: A passive one-'sniffing' and an active one-'man-in-The-middle'. The results underscore the fact that webservice security can also be enhanced even if it is developed using a low-level programming language. © 2024 IEEE.

关键词： C++ (programming language)

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Hybrid Co-Simulation Framework for Cyber-Physical Systems-Based Applications

Hybrid Co-Simulation Framework for Cyber-Physical Systems-Ba...

引用

2024 International Conference on Applied Mathematics and Computer Science, ICAMCS 2024

作者： Mindra, Teodora Anghel, Ana Magdalena University of Bucharest Automatic Control and Industrial Informatics Politehnica Bucharest Romania

ISBN: (纸本)9798350363807

Developing safety-critical cyber-physical systems (CPS) relies heavily on human interaction and cognitive assessment. The possibility to evaluate with real-time data certain scenarios between the CPS and its components brings benefits in increasing the performance of the systems. Thus, this paper proposes the concept of co-simulation in which physical systems and communication systems can be modeled simultaneously, starting from two possible applications usually encountered (energy and medicine). The co-simulation method started from the real case study of a microgrid, where the data from the hardware components were sent both to a located application and an application over 250 km away, in this way simulating possible security breaches, data accuracy, and transmission errors. A later simulation framework was created for the case study in medicine that will be analyzed based on the work methodology created, but maintaining the particularities of critical applications in medicine and the necessity of customizing scenarios and contextual analyses for a pharyngoesophageal prosthesis. © 2024 IEEE.

关键词： Cybersecurity

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An Evaluation of the Dual Vectors Based Solutions for Robot-World/Hand-Eye Calibration 1

引用

25th International Symposium on Measurement and control in Robotics, ISMCR 2023

作者： Ganciu, Aura Burlacu, Adrian Department of Automatic Control and Applied Informatics Faculty of Automatic Control and Computer Engineering "Gheorghe Asachi" Technical University of Iași Iași Romania

ISBN: (数字)9783031510854

ISBN: (纸本)9783031510847

The hand-eye calibration problem represents a major challenge in robotics, arising from the widespread usage of robotic systems along with robot-mounted sensors. Briefly, consisting of estimating the position and orientation of a visual sensor (usually a camera attached to the robot’s end-effector) with respect to the robot itself, calibration is critical in tracking rigid bodies—a common task within mixed reality applications. Hand-eye calibration implies solving the problem formulated as AX = XB or AX = YB equations. The solution lies in computing the unknown homogeneous transformation matrices X and Y, given the A and B parameterizations of rigid body motions. We present the dual vectors based approaches for AX = XB and AX = YB calibration problems, making use of the isomorphism between the special Euclidean group and the orthogonal dual tensor group. Comparisons with state-of-the-art algorithms are used to assess our obtained results. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Mixed reality

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AI-Based Battery Consumption Prediction for Nano-drones

AI-Based Battery Consumption Prediction for Nano-drones

引用

Joint International Conference of the 14th International Conference on Mechanisms and Mechanical Transmissions and 26th International Conference on Robotics, MTM and Robotics 2024

作者： Crăciun, Rares Burlacu, Adrian Department of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Iasi Romania

ISBN: (纸本)9783031875366

Unmanned aerial vehicles have become increasingly used in recent decades, and the applications that use this type of robot are diverse. Knowing the state of the battery of these vehicles is also of great importance, along with the possibility of estimating it. There are many methods for approximating the voltage of a battery, from model-based to data-driven models. This paper presents the creation, analysis, and testing of several data-based models for the battery of a Crazyflie 2.0 drone. The goal is to estimate battery voltage based on planned trajectories using machine learning algorithms. The work implements a variety of machine learning models, such as Decision Trees, Random Forests, and Support Vector Machines, created using MATLAB. A sequence of flights yields experimental results, with data acquisition focusing on the drone’s position and the battery’s voltage. The machine learning algorithms are compared based on the prediction error. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Drones

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Integration of MITL for Cobots Workflow in a Manipulating Application 29

Integration of MITL for Cobots Workflow in a Manipulating Ap...

引用

29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024

作者： Huştiu, Sofia Iancu, Andrei-Iulian Braşoveanu, Florian-Alexandru 'Gheorghe Asachi' Technical University of Iasi Department of Automatic Control and Applied Informatics Romania

ISBN: (纸本)9798350361230

Cooperative machines are the essence of automated systems that provide solutions in various domains, one example being the manufacturing industry. Specifically, the ability to synchronize the mission of each robot represents a crucial decision-making factor in this domain. This paper provides a path-planning solution for an application with two collaborative robots (also known as cobots) that should fulfill individual missions under the Metric Interval Time Logic (MITL) formalism. This formalism allows us to embody spatial and time requirements. This work provides two contributions in this field, based on the two phases of the planning solution: (a) a synchronization mechanism based on a high-level planner, developed on a previously defined model denoted Composed Time Petri net, that joins both the mission of the robots and its capabilities of movement and (b) experimental validation of the high-level planner based on a low-level path execution implemented on Robot Operating System (ROS) that facilitates the execution of the planned path to validate the simulated event sequence. The Composed Time Petri net is model-checked through simulations in the ROMEO tool, while the corroboration of the results is based on an experiment with two cobots: UR5 and LM3 with individual MITI missions, that are collaborating in a manipulating application: UR5 should pick and place pieces, while LM5 should pick up a tool, e.g., welding gun, to glue the pieces. A video with the results can be inspected here [1]. © 2024 IEEE.

关键词： Petri nets

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3-D Vision-Based Workspace with Deep Learning Capabilities for Autonomous Robot Manipulation

3-D Vision-Based Workspace with Deep Learning Capabilities ...

引用

Joint International Conference of the 14th International Conference on Mechanisms and Mechanical Transmissions and 26th International Conference on Robotics, MTM and Robotics 2024

作者： Braoveanu, Florian-Alexandru Iancu, Andrei-Iulian Botezatu, Adrian-Paul Burlacu, Adrian Department of Automatic Control and Applied Informatics "Gheorghe Asachi" Technical University of Iasi Iasi70050 Romania

ISBN: (纸本)9783031875366

Process automation is a widespread concept and a popular approach to considering production facilities from the perspective of Industry 4.0. Using robots in a manufacturing line is one of the first options to increase efficiency, resilience, and precision, even in the conceptual envisioning stage of factory development. However, complete automation deprives the process of adaptability and robustness, a problem that can be overcome by using automation components that can perform behaviors close to human perception. The solution proposed in the present research is to adopt a deep learning system for a collaborative robot arm equipped with an adaptive gripper to obtain an intelligent system capable of handling various types of objects with different shapes in an unpredictable object-sorting scenario. An approach based on ARUCO markers is proposed to envelop the workspace where objects will be located, contributing to ease of use and generality. Conclusive experimental results, performance evaluation, and comments follow. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Collaborative robots

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Enhancing Urban Cooperative Transportation Systems using the V2X-based MOSAIC Platform 16

Enhancing Urban Cooperative Transportation Systems using the...

引用

16th International Symposium on Electronics and Telecommunications, ISETC 2024

作者： Alupoaei, Sebastian I. Caruntu, Constantin F. Gheorghe Asachi Technical University of Iasi Department of Automatic Control and Applied Informatics Iasi Romania

ISBN: (纸本)9798350390865

Rapid urban growth and increased vehicle use present major challenges for traditional transportation systems, causing congestion, accidents, and pollution. Traffic jams lead to delays, economic losses, and accidents. This study explores the V2X-based MOSAIC platform for traffic data analysis in Iasi, Romania's second-largest city, assessing indicators like density and speed. The aim is to enhance efficiency and safety in urban transport, offering insights to reduce congestion with future intelligent systems. © 2024 IEEE.

关键词： Traffic congestion

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LoRaWAN as Open Scalable IoT Ecosystem 13

LoRaWAN as Open Scalable IoT Ecosystem

引用

13th International Symposium on Advanced Topics in Electrical Engineering, ATEE 2023

作者： Dumitru, Marian-Cosmin Pietraru, Radu Nicolae Moisescu, Mihnea Alexandru University Politehnica of Bucharest Automatic Control and Industrial Informatics Department Romania

ISBN: (纸本)9798350331936

Today's IoT systems tend to grow in complexity continuously as they become more widespread. Moving from vertical systems to multi-domain systems, IoT applications lead to the need for a management system that covers more and more aspects, starting from the physical management of the equipment to the definition of security policies. The requirements of wide coverage and low energy consumption have led to the emergence of Low Power Wide Area Networks as the basis for the implementation of IoT systems. This paper explores the use of LoRaWAN LPWAN technology as a support for a unified open IoT ecosystem enabling the scaling of computing power from edge devices to cloud services. By identifying a complete technical implementation solution for an IoT ecosystem, both the problem of system management and the control of its complexity can be solved. © 2023 IEEE.

关键词： Ecosystems

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IoT Device Identification: A Machine Learning Assessment 13

IoT Device Identification: A Machine Learning Assessment

引用

13th International Symposium on Advanced Topics in Electrical Engineering, ATEE 2023

作者： Craciun, Robert-Alexandru Nicolae Pietraru, Radu Alexandru Moisescu, Mihnea University Politehnica of Bucharest Automatic Control and Industrial Informatics Department Romania

ISBN: (纸本)9798350331936

Internet of Things (IoT) enabled applications to become an outstanding part of the everyday activities across all industries. IoT systems are prone to cybersecurity incidents due to lack of human observation on the system. Machine Learning (ML) offer robust solutions that can implement security mechanisms for IoT systems. The current paper proposes an implementation of a device identification system based on ML algorithms, a comparison between some ML algorithms and a comparison between three different hardware platforms that can be used to implement the device identification mechanism. © 2023 IEEE.

关键词： Internet of things

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Discrete Optimal Tracking Problem for Linear Systems with Variable Disturbances 27

Discrete Optimal Tracking Problem for Linear Systems with Va...

引用

27th International Conference on System Theory, control and Computing, ICSTCC 2023

作者： Botan, Corneliu Ostafi, Florin Dept. of Automatic Control and Applied Informatics Technical University of Iasi Iasi Romania

ISBN: (纸本)9798350337983

The paper deals with an optimal tracking problem in the presence of disturbances. A linear system in discrete time is considered. The paper presents a procedure with computational advantages. Step variant functions are used for approximation of the disturbance and reference variables. Simulation results are indicated. © 2023 IEEE.

关键词： Linear systems

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