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检索条件"机构=Automatic Control and Computer Science"

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A Predictive Framework for Efficient Resources Allocation in Healthcare Organisations 24

A Predictive Framework for Efficient Resources Allocation in...

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

作者： Coman, Gabriela Mocanu, Stefan Dobrescu, Radu University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania

ISBN: (纸本)9798350313390

In today's dynamic healthcare environment an efficient allocation of healthcare resources is essential for overall positive outcomes of healthcare processes and patient's satisfaction. A preliminary stage for moving towards an efficient allocation of resources is the existence of an Integrated Management System (IMS) in the healthcare organizations. An IMS consist in a series of requirements on different areas that are mandatory to be *** modeling tools have been developed to improve the current state of healthcare processes. Those models can aid the decision-making process for allocation of healthcare resources and reduce costs. The purpose of this article is to present a predictive framework for efficient allocation in the healthcare system organization with implemented IMS. Type of resources relevant in the proposed framework were selected based on Pareto's rule. The aim of the predictive framework is to support better allocation and management of healthcare resources, which is critical for reliable healthcare outcomes. The framework integrates value-based concepts and it is focused on finding balance between process performance and cost. © 2023 IEEE.

关键词： Decision making

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Creating a personality leisure-time model using genetic algorithms, behavioral psychology, and a happiness dataset 24

Creating a personality leisure-time model using genetic algo...

引用

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

作者： Nutescu, Ciprian-Ionut Mocanu, Mariana University Politehnica Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania

ISBN: (纸本)9798350313390

In this paper, we proposed a genetic algorithm based on behavioral psychology developed by Carl Gustav Jung (16 Personalities model), in which we describe the person's behavioral leisure and ludic behavioral features regarding his personality. The model used for inference is based on 40 years of psychology research and studies from the book 'The 16 Personalities types that determinate how we live, love and work' by Otto Kroger and Janet M. Thuesen, published in 1988. To generate the leisure model, we are using genetic algorithms. To improve the leisure model, we are reinforcing it using weight-based fitness functions with inference extracted from the HappyDB dataset. In this dataset, persons around the world express the most valuable/happy moments in their life. The leisure model describes how they would prefer spending their time and how this will bring the most enjoyment and reward (human reward psychological model). © 2023 IEEE.

关键词： Genetic algorithms

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Brown Marmorated Stink Bug Detection Using Multiple Neural Networks

Brown Marmorated Stink Bug Detection Using Multiple Neural N...

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2023 International Conference on Electrical, computer, Communications and Mechatronics Engineering, ICECCME 2023

作者： Vicol, Andrei Ichim, Loretta Popescu, Dan University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania

ISBN: (纸本)9798350322972

The identification and management of pest infestations in a timely manner have been an ever-pressing issue, more so than ever now, when new pests have arrived from around the world and governments are encouraging farmers to use fewer and fewer pesticides. The use of drones and artificial intelligence in the monitoring of orchards has taken a strong rise in recent years due to the advantages offered by efficiency, coverage, and price. A particularly dangerous insect in fruit production is the brown marmorated stink bug (BMSB). The paper seeks to look at a performance comparison in BMSB detection between three states of the art models of image detection and classification: MobileNetV2, Xception, and EfficientNet. Each network model was slightly modified being thus adapted for this application and the results obtained had high accuracy, between 97% and 99%. © 2023 IEEE.

关键词： Orchards

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control requirements and efficiency evaluation for PV power - a practical aproach 24

Control requirements and efficiency evaluation for PV power ...

引用

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

作者： Andronic, Cristian Fagarasan, Ioana Arghira, Nicoleta Iliescu, Sergiu Stelian Tiab Constanta Romania University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania MC-AOSR MO-ASTR University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania

ISBN: (纸本)9798350313390

Using photovoltaic (PV) systems connected in distribution and even transport grids increase the need for energy supply security. Energy Efficiency of PV power plants is a performance indicator as well as a fault detection method. control system topologies for grid connected PV power plants can increase the overall generation performance. Three types of plant control topologies with their benefits and drawbacks are compared. The paper also synthesizes the control requirements for each of the plant components cells/panels, inverter and grid connection point. The PV panel faults issue is tackled practically by designing a PVPP test bed for further application of the proposed fault detection algorithm. A 80kW rooftop PV plant is proposed for efficiency evaluation. A decision tree algorithm for power plant efficiency and fault detection is designed. Computation of the capacity factor is an energy efficiency indicator, as well as a detector for PV panel fault initiation by dust or objects covering the cells. A hierarchical control system architecture with a central level PLC and 4 inverters, each with several MPPT modules, one for each string is proposed. The fault tree algorithm will be implemented on the practical PV power plant test bed. © 2023 IEEE.

关键词： Decision trees

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EEG Multi-Objective Feature Selection using a Genetic Procedure with Hybrid Mutation Operator 24

EEG Multi-Objective Feature Selection using a Genetic Proced...

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

作者： Cimpanu, Corina Gheorge Asachi Technical University of Iai Faculty of Automatic Control and Computer Science Computer Science Department Iai Romania

ISBN: (纸本)9798350313390

computer science developments in medical data processing increase modeling accuracy, speed up data analysis, and obtain automated diagnostics. As a result, the role of machine learning algorithms becomes significant, as well as the need to implement faster and more accurate systems. For example, classification is a common component in computer-aided diagnostics, and choosing the proper set of predictors is critical for training a classifier model. Usually, medical datasets are highly dimensional, and their characteristical data correlations require reducing the set of features used for classification. Besides supervised grouping algorithms, genetic optimization procedures are well known for their robust verification of competing attributes by directly estimating their usefulness on a specific classifier. This paper discusses the assessment of Electroencephalogram data samples acquired during working memory load n-back scenarios using a new embedded feature selection procedure based on Multi-Objective Optimization via Genetic Algorithms enhanced with a hybrid mutation operator. Experimental results focus on both the hybrid mutation operator performances, and obtaining overall higher Support Vector Machine classification accuracy while reducing the number of selected features. © 2023 IEEE.

关键词： Genetic algorithms

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Transformer-based spectro-temporal fusion for Sentinel-2 super-resolution 30

Transformer-based spectro-temporal fusion for Sentinel-2 sup...

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30th International Conference on Systems, Signals and Image Processing, IWSSIP 2023

作者： Pogodzinski, Bartlomiej Tarasiewicz, Tomasz Kawulok, Michal Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Gliwice Poland

ISBN: (纸本)9798350337297

Multi-image super-resolution consists in fusing multiple images of the same scene to generate an image of higher spatial resolution. Recently, it has been demonstrated that for remotely sensed multispectral Sentine1-2 images, fusion performed in both spectral and temporal dimensions improves the reconstruction quality. However, the deep networks elaborated for this purpose are quite large and influence of the input data is difficult to interpret. In this paper, we show how to exploit transformer-based image fusion to reduce the number of trainable parameters by 30% and allow for increased interpretability with means of attention rollout. The reported experimental results performed over simulated and real-world data indicate that this does not affect the reconstruction quality, while at the same time the visualization tools may help in developing techniques for input data selection and preprocessing. © 2023 IEEE.

关键词： Image fusion

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INCREASING THE OBSERVATION CAPABILITIES OF SMALL SOLAR TELESCOPES USING NEURAL NETWORKS 38

INCREASING THE OBSERVATION CAPABILITIES OF SMALL SOLAR TELES...

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38th Annual European Simulation and Modelling Conference, ESM 2024

作者： Jóźwik-Wabik, Piotr Popowicz, Adam Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

ISBN: (纸本)9789492859334

Small solar telescopes play an important role in monitoring dynamic heliophysical phenomena on the Sun, such as solar flares, which affect satellites and ground-based electronic systems. Unfortunately, the quality of the data they obtain is significantly affected by atmospheric turbulence, so they require further processing. Currently, this problem is mainly solved by using a state-of-the-art deterministic algorithm, multi-frame blind deconvolution (MFBD). However, this approach is sensitive to manually adjusted system parameters and requires high computational power and long processing time. In this paper, we explore the possibility of using fully convolutional networks (FCNs) as an alternative to MFBD. In our research, we focus on the data processing time, the quality of the results obtained, as well as the hardware resources required for the practical application of the FCNs by small observatories. We show that the proposed networks can achieve results comparable to MFBD, but in almost real time and using more energy-efficient equipment. © 2024 Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024. All rights reserved.

关键词： Telescopes

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Massive Natural Language Processing in Distributed Environment 20th

Massive Natural Language Processing in Distributed Environm...

引用

20th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2023

作者： Krechowicz, Adam Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology Kielce Poland

ISBN: (纸本)9783031383175

Natural Language Processing (NLP) models are one of the most promising topics nowadays. Applications like ChatGPT uncover the power of such models and their broad applications. However, developing such models requires an extensive amount of training data sets to operate on. As such data sets grow, it becomes impossible to process them on a single machine, even using parallel computations. In this paper, the problem of distributing the NLP computations is taken into consideration. The Scalable Distributed Two-Layer Data Structures were used to organize the distributed environment. Stanford Core NLP library was used to perform accurate NLP computations. The experiments focused on the efficiency of the computation in the distributed environment and the accuracy of the predictions in relation to the scale of the distributions. The results clearly show that an increase in performance can be obtained without a significant decrease in accuracy. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Natural language processing systems

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Real-Time Multi-object Tracking Using YOLOv8 and SORT on a SoC FPGA 21st

Real-Time Multi-object Tracking Using YOLOv8 and SORT on a...

引用

21st International Symposium on Applied Reconfigurable Computing, ARC 2025

作者： Danilowicz, Michal Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland

ISBN: (纸本)9783031879944

Multi-object tracking (MOT) is one of the most important problems in computer vision and a key component of any vision-based perception system used in advanced autonomous mobile robotics. Therefore, its implementation on low-power and real-time embedded platforms is highly desirable. Modern MOT algorithms should be able to track objects of a given class (e.g. people or vehicles). In addition, the number of objects to be tracked is not known in advance, and they may appear and disappear at any time, as well as be obscured. For these reasons, the most popular and successful approaches have recently been based on the tracking paradigm. Therefore, the presence of a high quality object detector is essential, which in practice accounts for the vast majority of the computational and memory complexity of the whole MOT system. In this paper, we propose an FPGA (Field-Programmable Gate Array) implementation of an embedded MOT system based on a quantized YOLOv8 detector and the SORT (Simple Online Realtime Tracker) tracker. We use a modified version of the FINN framework to utilize external memory for model parameters and to support operations necessary required by YOLOv8. We discuss the evaluation of detection and tracking performance using the COCO and MOT15 datasets, where we achieve 0.21 mAP and 38.9 MOTA respectively. As the computational platform, we use an MPSoC system (Zynq UltraScale+ device from AMD/Xilinx) where the detector is deployed in reprogrammable logic and the tracking algorithm is implemented in the processor system. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： System-on-chip

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Real-Time Communication Model for IoT Systems 18

Real-Time Communication Model for IoT Systems

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18th Conference on computer science and Intelligence Systems, FedCSIS 2023

作者： Deniziak, Stanislaw Plaza, Miroslaw Arcab, Lukasz Kielce University of Technology Faculty of Electrical Engineering Automatic Control and Computer Science Kielce Poland

ISBN: (纸本)9788396744784

Internet of Things solutions typically involve interaction between sensors, actuators, the cloud, embedded systems and user applications. Often in such cases, there are time constraints specifying the maximum response time to a request. This time depends on the calculation time and transmission time. Existing Internet communication solutions do not ensure the implementation of transmissions in a way that guarantees meeting the set time constraints. This paper proposes a new model of Internet communication dedicated to real-time Internet of Things systems, which includes a communication protocol, as well as a transmission scheduling and routing method. The protocol takes into account information about transmission time constraints, which is used for packet scheduling by routers, allowing to increase quality of service. In addition, the proposed static routing mechanism makes it possible to parallelize transmissions if time constraints are still exceeded. Also presented are preliminary results of experiments showing to what extent the proposed methods allow improving the quality of service in real-time Internet of Things systems. © 2023 Polish Information Processing Society.

关键词： Internet of things

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