Design and Modeling of Intelligent Building Office and Thermal Comfort Based on Probabilistic Neural Network

Kciuk, Marek; Bijok, Tomasz; Sciuto, Grazia Lo

doi:10.1007/s42979-022-01411-7

Cited by 6 publications

(4 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reeve et al [25] propose a framework for incorporating uncertainty analysis into the conceptual design and evaluation of aircraft thermal management systems, employing Monte Carlo methods to address probabilistic inputs of crucial system performance metrics. Kciuk et al [26] delve into the design and modeling of intelligent building offices and thermal comfort based on probabilistic neural networks. Meanwhile, Cao et al [27] present a novel methodology for aircraft engine performance reliability design using deep neural network (DNN)-based surrogate models.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Design Method for Aircraft Thermal Protective Layers Based on Surrogate Models

Chen,

Zhang,

Zhao

et al. 2024

Energies

View full text Add to dashboard Cite

In this study, a probabilistic method was proposed for an aircraft’s thermal protective layers. The uncertainties of material properties, geometric dimensions, and incoming flow environments were considered for the design inputs. To accelerate the design efficiency, Latin hypercube sampling and surrogate models were built based on finite element method calculations to enhance the simulation efficiency. Thus, the Monte Carlo method can be implemented with such a fast simulation method and produce a massive number of samples for the uncertainty quantification and sensitivity analysis, exploring their impact on the back temperature of the thermal protection layer. Compared to the deterministic method with the extreme deviation design, the probabilistic design yields a weight reduction of 15.61%. This indicates that probabilistic design is an efficient approach to enhance the performance of aircraft and reduce the overall weight of the aircraft. The general goal of this study is to provide a new design method for the coating film of thermal protection systems by considering multiple sources of uncertainties.

show abstract

Section: Introductionmentioning

confidence: 99%

Probabilistic Design Method for Aircraft Thermal Protective Layers Based on Surrogate Models

Chen,

Zhang,

Zhao

et al. 2024

Energies

View full text Add to dashboard Cite

show abstract

“…A safe and healthy office environment is essential to improve worker productivity [1,2]. Sensor technology applications can support workers by measuring and monitoring their work exposures to prevent adverse health effects and increase the quality and comfort of the indoor environment.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Medical Velostat Pressure Sensor Mat Based on Artificial Neural Network and Arduino Embedded System

Kciuk,

Kowalik,

Lo Sciuto

et al. 2023

ASI

Self Cite

View full text Add to dashboard Cite

The promising research on flexible and tactile sensors requires conducting polymer materials and an accurate system for the transduction of pressure into electrical signals. In this paper, the intelligent sensitive mat, based on Velostat, which is a polymeric material impregnated with carbon black, is investigated. Various designs and geometries for home-made sensor mats have been proposed, and their electrical and mechanical properties, including reproducibility, have been studied through the tests performed. The mat pressure sensors have been interfaced with an Arduino microcontroller in order to monitor, read with high precision, and control the variation of the resistance under applied pressure. An approximation method was then developed based on a neural network algorithm to explore the relationship between different mat shapes, the pressure and stresses applied on the mat, the resistance of the conductive Velostat material, and the number of active sensing cells in order to control system input signal management.

show abstract

“…However, for Chinese people, new meteorological and management challenges are still expensive, information service systems are still relatively inadequate, and meteorological information services are often targeted at specific areas. Specific applications and specific data resources lead to the increasing complexity of data development and use, the lack of effective analysis and improvement, the low efficiency of transforming data resources into useful information, and the mismatch between the increasing data resources of meteorological departments and the relatively lack of meteorological information services 1,2 . This paper discusses the IoT and IoT meteorological data collection and extraction techniques to realize the identification of smart meteorological data.…”

Section: Introductionmentioning

confidence: 99%

Intelligent meteorological information acquisition service platform based on Internet of Things

Chang

2023

International Conference on Computer Application and Information Security (ICCAIS 2022)

View full text Add to dashboard Cite

Although China’s meteorological departments have established a considerable number of national meteorological information monitoring networks, the information gap between meteorological departments, agricultural experts and ordinary farmers makes it impossible for them to accurately determine the objectives of agricultural production and improve the quality and efficiency of standard weather forecasts. This document addresses these issues. Therefore, this paper discusses the meteorological data collection method, collection equipment, crop fertility knowledge base and service forecast model based on the internet of things (IoT), real-time sensor data and the national integrated meteorological information sharing platform (CIMISS), develops meteorological data collection equipment suitable for small-scale agricultural environment, and develops an intelligent IoT service platform for integrated meteorology. The system has been demonstrated in a city meteorological bureau, and the results show that it can provide technical support for efficient planting, accurate management and customized services of agricultural production.

show abstract

Design and Modeling of Intelligent Building Office and Thermal Comfort Based on Probabilistic Neural Network

Cited by 6 publications

References 31 publications

Probabilistic Design Method for Aircraft Thermal Protective Layers Based on Surrogate Models

Probabilistic Design Method for Aircraft Thermal Protective Layers Based on Surrogate Models

Intelligent Medical Velostat Pressure Sensor Mat Based on Artificial Neural Network and Arduino Embedded System

Intelligent meteorological information acquisition service platform based on Internet of Things

Contact Info

Product

Resources

About