Διαταραχές της αιμόστασης στην λοίμωξη COVID-19

Η εξάπλωση του SARS-CoV-2 έχει πάρει ήδη διαστάσεις πανδημίας, επηρεάζοντας όλο το παγκόσμιο σκηνικό μέσα σε λίγους μόλις μήνες από την εμφάνισή του. Σε αυτό το πλαίσιο, προκαλεί το ενδιαφέρον η μελέτη και συσχέτιση των αιμοστατικών διαταραχών με τη δυναμική του νέου κοροναϊού. Οι μελέτες φανερώνουν ότι ασθενείς που έχουν προσβληθεί από COVID-19 έχουν παρατεταμένο χρόνο προθρομβίνης (PT), ενεργοποιημένο μερικό χρόνο θρομβοπλαστίνης (aPTT), αυξημένα επίπεδα D-dimer και ινωδολυτικά προϊόντα, μείωση της αντιθρομβίνης (AT) και του αριθμού των αιμοπεταλίων. Έτσι, στην συγκεκριμένη εργασία παρουσιάζεται ο μηχανισμός και η λειτουργία της αιμόστασης, η σχέση των αιμοστατικών διαταραχών με τον COVID-19,η θύελλα των κυττοκινών και οι εφαρμοζόμενες αντιθρομβωτικές θεραπείες.The spread of SARS-CoV-2 has grown worldwide in just the first months of its appearance. Studies about hemostatic disorders and the dynamics of the new coronavirus have emerged and are very interesting. These studies showed that many of the patients affected by COVID-19 have prolonged prothrombin time (PT), activated partial thromboplastin time (aPTT), elevated D-dimer levels and other fibrinolytic products, antithrombin (AT) activity reduced and platelets decrease. So in the current study, the relation among the hemostasis profile, the ACE2 and cytokines storm as well as the antithrombotic therapies is being presented

Evolucijski algoritam temeljen na off-line planeru putanje za navigaciju bespilotnih letjelica

An off-line path planner for Unmanned Air Vehicles is presented. The planner is based on Evolutionary Algorithms, in order to calculate a curved pathline with desired characteristics in a three-dimensional environment. The pathline is represented using B-Spline curves, with the coordinates of its control points being the genes of the Evolutionary Algorithm artificial chromosome. The method was tested in an artificial three-dimensional terrain, for different starting and ending points, providing very smooth pathlines under difficult constraints.Predstavljen je off-line planer putanje za bespilotne letjelice. Planer je temeljen na evolucijskim algoritmima za proračun zakrivljene putanje sa željenim karakteristikama u 3D prostoru. Putanja je predstavljena pomoću B-spline krivulja, gdje su koordinate kontrolnih točaka geni umjetnih kromosoma evolucijskih algoritama. Metoda je provjerena na umjetnom 3D prostoru s različitim početnim i konačnim točkama, gdje su dobivene vrlo glatke putanje uz zadovoljenje strogih ograničenja

Evolutionary algorithm based off-line path planner for UAV navigation

Summarization: An off-line path planner for Unmanned Air Vehicles is presented. The planner is based on Evolutionary Algorithms, in order to calculate a curved pathline with desired characteristics in a three-dimensional environment. The pathline is represented using B-Spline curves, with the coordinates of its control points being the genes of the Evolutionary Algorithm artificial chromosome. The method was tested in an artificial three-dimensional terrain, for different starting and ending points, providing very smooth pathlines under difficult constraints.Παρουσιάστηκε στο: Automatik

Evolutionary algorithm based 3-D path planner for UAV navigation

Μη διαθέσιμη περίληψηNot available summarizationΠαρουσιάστηκε στο: 9th Mediterranean Conference on Control and Automatio

Efficient Gear Ratio Selection of a Single-Speed Drivetrain for Improved Electric Vehicle Energy Consumption

The electric vehicle (EV) market has grown over the last few years and even though electric vehicles do not currently possess a high market segment, it is projected that they will do so by 2030. Currently, the electric vehicle industry is looking to resolve the issue of vehicle range, using higher battery capacities and fast charging. Energy consumption is a key issue which heavily effects charging frequency and infrastructure and, therefore, the widespread use of EVs. Although several factors that influence energy consumption of EVs have been identified, a key technology that can make electric vehicles more energy efficient is drivetrain design and development. Based on electric motors’ high torque capabilities, single-speed transmissions are preferred on many light and urban vehicles. In the context of this paper, a prototype electric vehicle is used as a test bed to evaluate energy consumption related to different gear ratio usage on single-speed transmission. For this purpose, real-time data are recorded from experimental road tests and a dynamic model of the vehicle is created and fine-tuned using dedicated software. Dynamic simulations are performed to compare and evaluate different gear ratio set-ups, providing valuable insights into their effect on energy consumption. The correlation of experimental and simulation data is used for the validation of the dynamic model and the evaluation of the results towards the selection of the optimal gear ratio. Based on the aforementioned data, we provide useful information from numerous experimental and simulation results that can be used to evaluate gear ratio effects on electric vehicles’ energy consumption and, at the same time, help to formulate evolving concepts of smart grid and EV integration

Position and suction control of a reconfigurable robotic gripper

Summarization: This paper discusses position and suction control of a multi-degree-of-freedom reconfigurable robotic gripper system (RGS) consisting of four arms in a crossbar configuration, with a flat surface, fixed dimensions, suction unit (cup) mounted on each of the four arms. A fuzzy logic based controller has been implemented to regulate, coordinate and maintain the amount of suction generated through each of the suction units and the po- sitioning of the suction cups along each arm length. The RGS is integrated with AdeptOne and/or AdeptThree commercial manipulators and used to automate limp material handling, reliably, without distortion, deformation and/or folding. Extensive simulation results indicate that the RGS control system is robust, reliable and accurate, and meets a set of system requirements specified by the industry. A prototype system is being built, based on the derived design and model of the system.Παρουσιάστηκε στο: Machine Intelligence and Robotic Contro

Evolutionary path planning for unmanned aerial vehicles cooperation

Summarization: We suggest an evolutionary based off-line/on-line path planner for cooperating Unmanned Aerial Vehicles (UAVs) that takes into account the environment characteristics and the flight envelope and mission constraints of the cooperating UAVs. The scenario under consideration is the following: a number of UAVs are launched from the same or different known initial locations. The main issue is to produce 3-D trajectories that ensure a collision free operation with respect to mission constraints. The path planner produces curved routes that are represented by 3-D B-Spline curves. Two types of planner are discussed: The off-line planner generates collision free paths in environments with known characteristics and flight restrictions. The on-line planner, which is based on the off-line one, generates collision free paths in unknown static environments, by using acquired information from the UAV’s on-board sensors. This information is exchanged between the cooperating UAVs in order to maximize the knowledge of the environment. Both off-line and on-line path planning problems are formulated as optimization problems, with a Differential Evolution algorithm to serve as the optimizer.Παρουσιάστηκε στο: International Conference on Informatics in Control, Automation and Robotic