Análise da ventilação natural por fluidodinâmica computacional (CFD) DOI Creative Commons

Lucas Silva Maranhão de Oliveira,

Rejane Martins Viegas, João Renato Carneiro de Aguiar

и другие.

Encontro Nacional de Conforto no Ambiente Construído e Encontro Latino-Americano de Conforto no Ambiente Construído, Год журнала: 2023, Номер 17, С. 1 - 10

Опубликована: Окт. 28, 2023

A ventilação natural é uma estratégia que pode garantir a qualidade do ar dos ambientes internos, além de ser apresentada pela Organização Mundial da Saúde como um principais recursos para contenção Covid-19. Neste sentido, o objetivo deste estudo analisar desempenho em Centros Especializados Reabilitação Patos Minas, MG, partir método simulação computacional dinâmica fluidos (CFD). Foram criados 3 cenários com variações área abertura na esquadria principal. São eles: J145, apresentou média velocidade vento interesse 0,60m/s, J300 1,33m/s e J587 1,95m/s. Desta forma observou-se aumento interno proporcional ao as saídas ambiente.

The impact of mechanical ventilation on Sfax City's greenhouse microclimate DOI Creative Commons

Hamza Chiboub,

Hasna Abid, Mariem Lajnef

и другие.

CFD letters, Год журнала: 2024, Номер 16(8), С. 150 - 162

Опубликована: Апрель 5, 2024

The greenhouse serves as an enclosed structure designed to create a conducive environment for agricultural productivity, irrespective of the challenges posed by seasonal variations. Recognizing contemporary complexities in management, our research endeavors involve development comprehensive numerical model and establishment experimental setup delve into nuanced impact mechanical ventilation. Specifically, study investigates influence four different entrance velocity values on airflow dynamics within greenhouses. results illuminate direct correlation between inlet various crucial variables, including temperature distribution, field DO irradiation static pressure distribution. Notably, at Vint = 12 m.s-1, maximum remains below Tmax 307 K, while 3 it reaches 327 K. This underscores pivotal role accurate modeling control optimal management agriculture central region Tunisia, particularly Sfax.

Язык: Английский

Процитировано

3
Infectious cough droplet dynamics in a makeshift hospital isolation ward DOI
Leslie Kojo Norvihoho, Yi Liu, Jing Yin

и другие.

Physics of Fluids, Год журнала: 2025, Номер 37(2)

Опубликована: Фев. 1, 2025

The COVID-19 pandemic highlighted the need for rapidly deployable healthcare facilities, leading to increased use of modular construction methods. Nonetheless, knowledge about airflow patterns and spread bioaerosols in these wards remains insufficient, potentially heightening risk cross-infection among workers patients. This paper presents a ventilation design negative-pressure ward aimed at reducing infectious particles. We investigate effects various designs, patient postures (sitting supine), air changes per hour (ACH) on cough droplets an airborne infection isolation room using large eddy simulation Eulerian–Lagrangian model. Findings show that ceiling exhaust grilles (design 2) resulted lowest radial dispersion (3.64 m) 12 ACH, while sidewall exhausts (baseline) performed best higher ACH levels. Seated patients had quicker droplet evaporation compared those supine position. setups survival included bed's bottom ceiling, maintaining minimum ACH. Cases 5 13, with over patient's head bottom, showed concentrations DPM, under 0.008 km−3 near source less than 0.001 mid-room. Sitting posture consistently led lower DPM concentrations. research emphasizes critical role placement re-circulation transmission risks, ultimately contributing improved strategies control AII rooms.

Язык: Английский

Процитировано

0
Concept of Computational Fluid Dynamics Design and Analysis Tool for Food Industry: A Bibliometric DOI Creative Commons
Muktiarni Muktiarni, Nur Indri Rahayu, Ai Nurhayati

и другие.

CFD letters, Год журнала: 2023, Номер 16(2), С. 1 - 23

Опубликована: Ноя. 30, 2023

Technology that is currently in demand CFD. By simulating fluid flow around a product on computer, the computational dynamics (CFD) technique allows designers of new products to be tested. This research aims analyze bibliometrics CFD publications as design tool food industry determine concepts, trends, and contributions previous research. Computational Fluid Dynamics technology used test designs through computer simulations product. The use various industries, such industry, essential create better or services. uses bibliometric analysis method supported by theoretical analysis. consists 5 steps, namely (i) determining theme for formulating keywords, (ii) collecting publication documents, (iii) data processing, (iv) analysis, (v) preparing report. keywords this are "Computational Design Food Industry." results search found total 211 documents from 1992 2023. average number was 6.59. trend first carried out 1992. development has been fluctuating, there an increase last five years (2019 - 2023). Research regarding grouped into 20 subject areas. Contributions consisted 159 authors, 160 affiliates, 51 countries. Completing will likely provide information sources made several scientists affiliates countries worldwide.

Язык: Английский

Процитировано

6
Numerical Model Parameters Choice of Helical Savonius Wind Rotor: CFD Investigation and Experimental Validation DOI Creative Commons
Mariem Lajnef, Mabrouk Mosbahi,

abid Hasna

и другие.

CFD letters, Год журнала: 2024, Номер 16(10), С. 94 - 111

Опубликована: Июнь 2, 2024

Electrical power is essential for human beings welfare. The available wind as a clean and renewable source of energy has whetted extensive interest over decades. Savonius vertical axis rotor an converter the merit being adequate specific implementations owing to its lower cost independency on direction. From this perspective, multiple studies have been conducted boost efficiency. This research work emphasizes helical (HSWR). basic objective investigate impact selecting numerical model parameters aerodynamic performance characteristics. Experimental tests were realized with 3D printed HSWR in tunnel. experimental performances terms power, static dynamic torque coefficients addressed. Next, study was undertaken through Ansys Fluent 17.0 software. Grid, turbulence rotating domain size examined. Good accordance obtained, which validated averaged error 5%. maximum coefficient proved be equal 0.124 at tip speed ratio 0.73 0.1224 0.69, respectively, numerically experimentally

Язык: Английский

Процитировано

1
Novel Deep Learning Neural Networks for Breast Cancer Malignancy Estimation DOI Creative Commons

G. Nivedhitha,

P. Kalpana,

Rajagopal Ramesh

и другие.

Journal of Advanced Research in Applied Sciences and Engineering Technology, Год журнала: 2024, Номер 47(1), С. 140 - 151

Опубликована: Июнь 21, 2024

Medicine has become one of the huge fields which its own growth each and every day. Few diseases are still a threat to medical field. Because destructive nature, cancer is disease that causes fear in many people throughout world. However, most cancers curable if detected early treated with right care computer-assisted diagnosis. These days, diagnosis more popular because it works well as primary screening test for diseases, particularly cancer. Deep learning method artificial intelligence where computer given attempts emulate way human brain thinks. This research focuses on creating deep neural network can accurately predict malignancy breast up 98%, allowing personnel diagnose patients quickly administer therapy effectively.

Язык: Английский

Процитировано

1
Hybrid Mahalanobis Taguchi System with Binary Whale Optimisation Feature Selection for the Wisconsin Breast Cancer Dataset DOI Creative Commons

Chow Yong Huan,

Wan Zuki Azman Wan Muhamad, Zainor Ridzuan Yahya

и другие.

Journal of Advanced Research in Applied Sciences and Engineering Technology, Год журнала: 2023, Номер 31(3), С. 93 - 105

Опубликована: Авг. 4, 2023

The Mahalanobis-Taguchi System (MTS) is a statistical approach used in breast cancer research to facilitate early detection and promote efficient treatment. technique analyses mammogram images for significant features using multivariate analysis technique. It combines the Mahalanobis distance (MD) Taguchi's method determine differences between benign malignant samples. While orthogonal array (OA) has been widely MTS, it criticised providing suboptimal results due insufficient coverage of feature combinations during optimisation process. To address this issue, Binary Whale Optimisation Algorithm (BWOA) proposed as an improved search algorithm MTS. This paper aims develop novel hybrid that enhances efficiency Taguchi (MTS). performance selection ability different MTS algorithms were also compared. BWOA simulates hunting behaviour humpback whales works by exploring new regions solution space, gradually narrowing fine-tuning solution. MTS-BWOA demonstrated its enhanced capability compared traditional methods potential be applied other medical imaging domains.

Язык: Английский

Процитировано

3
Development of Tools for Creating Parallel Data Mining Algorithms DOI Creative Commons

Karshiyev Zaynidin,

Sattarov Mirzabek

Journal of Advanced Research in Applied Sciences and Engineering Technology, Год журнала: 2024, Номер 39(1), С. 26 - 42

Опубликована: Фев. 7, 2024

The purpose of this work is to develop tools for building parallel data mining algorithms execution in a distributed environment. A formal model algorithm proposed, characterized by representation the form set independent operations that change state knowledge and structural blocks allow modifying structure algorithm, including execution. method proposed creating mining, contrast existing ones, using decomposition into thread-safe functional allowing parallelization, both changing configuring its methodology parallelizing algorithms, which differs from those known taking account characteristics environment applied sequential analysis algorithms. To create software templates built on basis separating implementation are proposed. library has been developed environment, templates.

Язык: Английский

Процитировано

0
An attention-based neural network for lung cancer classification and gradient in MRI DOI Creative Commons

Poornima Ramasamy,

Eatedal Alabdulkreem,

Nuha Alruwais

и другие.

Automatika, Год журнала: 2024, Номер 65(4), С. 1379 - 1390

Опубликована: Июль 21, 2024

Accurate lung cancer classification in magnetic resonance imaging (MRI) remains challenging due to the difficulty detecting cancerous patterns. In response, this study introduces an attention-based VGG19 neural network for enhanced performance. Leveraging architecture's deep learning capabilities, our model incorporates attention mechanisms selectively emphasize salient features during training. The approach addresses challenge of discerning subtle patterns indicative malignancy, significantly improving accuracy. We train and evaluate on a diverse dataset, ensuring its capacity generalize across various patient cases. mechanism proves effective prioritizing critical regions within MRI scans, enhancing sensitivity specificity detection. Additionally, we employ gradient analysis interpret decision-making process, providing valuable insights into influential features. Results demonstrate proposed model's superiority over baseline approaches, showcasing efficacy inaccurate classification. not only advances capabilities but also offers interpretability crucial gaining trust automated diagnostic systems. This research contributes robust solution pressing medical challenge, holding promise practical implementation clinical settings support radiologists timely accurate diagnosis.

Язык: Английский

Процитировано

0
Evaluating thermal comfort in a vascular interventional radiology laboratory: Utilizing an onsite measurement approach DOI Creative Commons

N Ismail,

Keng Yinn Wong,

Hong Yee Kek

и другие.

Progress in Energy and Environment, Год журнала: 2024, Номер unknown, С. 6 - 15

Опубликована: Июль 31, 2024

A vascular interventional radiology (VIR) laboratory is a specialized medical environment designed for diagnostic and therapeutic procedures focused on blood vessels. In this facility, healthcare practitioners employ diverse imaging technologies such as fluoroscopy angiography to visualize vessels conduct minimally invasive interventions. This research examines the thermal comfort within VIR through field measurements. Assessing in supports Sustainable Development Goals (SDGs) by enhancing welfare working conditions settings (SDG 3 SDG 9). effort also aligns with 11 advocating sustainable urban environments optimization of indoor environmental conditions. The gathered data brings light notable disparities air temperature, relative humidity, velocity, underscoring absence homogeneity setting. It's evident that 67% spaces will induce "cool" sensation among staff members standby mode, remaining 33% causing "slightly cool" sensation. Both Predicted Percentage Dissatisfied (PPD) Mean Vote (PMV) indices deviate from established ASHRAE 55 standard, emphasizing considerable hurdles achieving desired By integrating findings study into policy frameworks, stakeholders can prioritize investments infrastructure technology aimed at standards facilities. proactive approach not only fosters conducive but advances progress towards key SDGs.

Язык: Английский

Процитировано

0
Análise da ventilação natural por fluidodinâmica computacional (CFD) DOI Creative Commons

Lucas Silva Maranhão de Oliveira,

Rejane Martins Viegas, João Renato Carneiro de Aguiar

и другие.

Encontro Nacional de Conforto no Ambiente Construído e Encontro Latino-Americano de Conforto no Ambiente Construído, Год журнала: 2023, Номер 17, С. 1 - 10

Опубликована: Окт. 28, 2023

A ventilação natural é uma estratégia que pode garantir a qualidade do ar dos ambientes internos, além de ser apresentada pela Organização Mundial da Saúde como um principais recursos para contenção Covid-19. Neste sentido, o objetivo deste estudo analisar desempenho em Centros Especializados Reabilitação Patos Minas, MG, partir método simulação computacional dinâmica fluidos (CFD). Foram criados 3 cenários com variações área abertura na esquadria principal. São eles: J145, apresentou média velocidade vento interesse 0,60m/s, J300 1,33m/s e J587 1,95m/s. Desta forma observou-se aumento interno proporcional ao as saídas ambiente.

Процитировано

0