To design linear control systems a new method is suggested on the basis of the principle of output and impacts control. The main difference of this principle consists in the use of only measurable variables and separa...
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This paper describes the development of Vinci Medicine, a comprehensive healthcare system that utilizes machine learning and mobile technology. The system comprises a mobile application, an administrative panel, a mac...
This paper describes the development of Vinci Medicine, a comprehensive healthcare system that utilizes machine learning and mobile technology. The system comprises a mobile application, an administrative panel, a machine learning module, and a database. The mobile application allows users to input their symptoms and receive appropriate medical advice based on the analysis provided by the machine learning module. The administrative panel provides staff members access to the system's backend, allowing them to manage appointments and doctor schedules. The machine learning module provides preliminary diagnoses and suggests tests and examinations. The database stores user data and medical information. The system was designed with user experience in mind, providing an easy-to-use interface and intuitive navigation. The machine learning module was developed using Python 3.10 and FastAPI, and the database was implemented using MariaDB. The system has been shown to provide accurate diagnoses and suggestions for medical examinations. Vinci Medicine offers a reliable and efficient healthcare solution for users, providing access to medical advice and services from the convenience of their mobile devices.
This research is devoted to the study of the nature and degree of the influence of acoustic radiation, as well as the mechanical models of the disturbed movement, depend on the ratio between the dimensions of the prod...
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In this paper, we present a mechanical counterpart of the problem of simultaneous input-output feedback linearization and decoupling that is designed for control systems that possess a mechanical structure. We show ho...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
In this paper, we present a mechanical counterpart of the problem of simultaneous input-output feedback linearization and decoupling that is designed for control systems that possess a mechanical structure. We show how our problem differs from the classical one and what are the supplementary conditions for preserving the mechanical structure of the system. Unlike our previous works, here we treat a mechanical control system $(\mathcal{M S O})$ as a control system on $\mathrm{T} Q$ with a special structure of the drift and control vector fields.
This article analyzes the effectiveness of passive solar panel cooling systems in building-applied photovoltaics (BAPV) installations. Emphasis was placed on the ribbed heat sinks. Using CFD (Computational Fluid Dynam...
This article analyzes the effectiveness of passive solar panel cooling systems in building-applied photovoltaics (BAPV) installations. Emphasis was placed on the ribbed heat sinks. Using CFD (Computational Fluid Dynamics) simulation, the movement of air in the cooling system and the dependence of the heat sink temperature on wind speed and direction, ambient temperature and distance to surrounding objects were analyzed. A mathematical analysis of the decrease in the average temperature of the solar panel was carried out. Experimental temperature measurements of the real panel were also made. They confirmed the simulation results.
This article proposes a model that combines the issues related to autonomous vehicles into seven groups. The groups are included in mutual iterations between the user, the autonomous vehicle and the environment. They ...
This article proposes a model that combines the issues related to autonomous vehicles into seven groups. The groups are included in mutual iterations between the user, the autonomous vehicle and the environment. They are: vehicle automation, environmental sensors, automatic perception of the environment based on the processing of vision signals, communication with external devices, interaction with the user, direct transmission of signals to the environment, and future development plans. Bearing in mind the proposed model, various latest solutions presented in the state-of-the-art literature or already offered in vehicles are collected and described.
Laplacian dynamics on signed digraphs have a richer behavior than those on nonnegative digraphs. In particular, for the so-called 'repelling' signed Laplacians, the marginal stability property (needed to achie...
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The paper deals with a cross-docking problem which is an example of real-word logistics problem and belongs to the class of NP-hard optimization problems. Cross-docking is a transshipment platform, where products from...
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This report explores the experimental identification of magnetic flux density within the motor air gap, focusing on the development of a robot-based approach to automate the scanning procedure. Emphasis is placed on a...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
This report explores the experimental identification of magnetic flux density within the motor air gap, focusing on the development of a robot-based approach to automate the scanning procedure. Emphasis is placed on analyzing the distribution of magnetic flux within the motor’s spatial air gap, as well as the amplification of harmonics resulting from changes in air gap orientation. Drawing upon experimental findings, a model is proposed to illustrate the three-dimensional distribution of magnetic flux within the gap.
The steerable needle becomes appealing in the neurosurgery intervention procedure because of its flexibility to bypass critical regions inside the brain;with proper path planning,it can also minimize the potential dam...
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The steerable needle becomes appealing in the neurosurgery intervention procedure because of its flexibility to bypass critical regions inside the brain;with proper path planning,it can also minimize the potential damage by setting constraints and optimizing the insertion ***,reinforcement learning(RL)-based path planning algorithm has shown promising results in neurosurgery,but because of the trial and error mechanism,it can be computationally expensive and insecure with low training *** this paper,we propose a heuristically accelerated deep Q network(DQN)algorithm to safely preoperatively plan a needle insertion path in a neurosurgical ***,a fuzzy inference system is integrated into the framework as a balance of the heuristic policy and the RL *** are conducted to test the proposed method in comparison to the traditional greedy heuristic searching algorithm and DQN *** showed promising results of our algorithm in saving over 50 training episodes,calculating path lengths of 0.35 after normalization,which is 0.61 and 0.39 for DQN and traditional greedy heuristic searching algorithm,***,the maximum curvature during planning is reduced to 0.046 from 0.139 mm−1 using the proposed algorithm compared to DQN.
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