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  • Open Access

    ARTICLE

    Fine-Tuned Extra Tree Classifier for Thermal Comfort Sensation Prediction

    Ahmad Almadhor1, Chitapong Wechtaisong2,*, Usman Tariq3, Natalia Kryvinska4,*, Abdullah Al Hejaili5, Uzma Ghulam Mohammad6, Mohana Alanazi7

    Computer Systems Science and Engineering, Vol.48, No.1, pp. 199-216, 2024, DOI:10.32604/csse.2023.039546

    Abstract Thermal comfort is an essential component of smart cities that helps to upgrade, analyze, and realize intelligent buildings. It strongly affects human psychological and physiological levels. Residents of buildings suffer stress because of poor thermal comfort. Buildings frequently use Heating, Ventilation, and Air Conditioning (HVAC) systems for temperature control. Better thermal states directly impact people’s productivity and health. This study revealed a human thermal comfort model that makes better predictions of thermal sensation by identifying essential features and employing a tuned Extra Tree classifier, MultiLayer Perceptron (MLP) and Naive Bayes (NB) models. The study employs the ASHRAE RP-884 standard dataset… More >

  • Open Access

    ARTICLE

    A Stroke-Limitation AMD Control System with Variable Gain and Limited Area for High-Rise Buildings

    Zuo-Hua Li1, Qing-Gui Wu1,*, Jun Teng1,*, Chao-Jun Chen1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 865-884, 2024, DOI:10.32604/cmes.2023.029927

    Abstract Collisions between a moving mass and an anti-collision device increase structural responses and threaten structural safety. An active mass damper (AMD) with stroke limitations is often used to avoid collisions. However, a stroke-limited AMD control system with a fixed limited area shortens the available AMD stroke and leads to significant control power. To solve this problem, the design approach with variable gain and limited area (VGLA) is proposed in this study. First, the boundary of variable-limited areas is calculated based on the real-time status of the moving mass. The variable gain (VG) expression at the variable limited area is deduced… More >

  • Open Access

    ARTICLE

    Parameters Optimization and Performance Evaluation of the Tuned Inerter Damper for the Seismic Protection of Adjacent Building Structures

    Xiaofang Kang1,*, Jian Wu1, Xinqi Wang1, Shancheng Lei2

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 551-593, 2024, DOI:10.32604/cmes.2023.029044

    Abstract In order to improve the seismic performance of adjacent buildings, two types of tuned inerter damper (TID) damping systems for adjacent buildings are proposed, which are composed of springs, inerter devices and dampers in serial or in parallel. The dynamic equations of TID adjacent building damping systems were derived, and the H2 norm criterion was used to optimize and adjust them, so that the system had the optimum damping performance under white noise random excitation. Taking TID frequency ratio and damping ratio as optimization parameters, the optimum analytical solutions of the displacement frequency response of the undamped structure under white… More > Graphic Abstract

    Parameters Optimization and Performance Evaluation of the Tuned Inerter Damper for the Seismic Protection of Adjacent Building Structures

  • Open Access

    ARTICLE

    Deep Learning for Multivariate Prediction of Building Energy Performance of Residential Buildings

    Ibrahim Aliyu1, Tai-Won Um2, Sang-Joon Lee3, Chang Gyoon Lim4,*, Jinsul Kim1,*

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5947-5964, 2023, DOI:10.32604/cmc.2023.037202

    Abstract In the quest to minimize energy waste, the energy performance of buildings (EPB) has been a focus because building appliances, such as heating, ventilation, and air conditioning, consume the highest energy. Therefore, effective design and planning for estimating heating load (HL) and cooling load (CL) for energy saving have become paramount. In this vein, efforts have been made to predict the HL and CL using a univariate approach. However, this approach necessitates two models for learning HL and CL, requiring more computational time. Moreover, the one-dimensional (1D) convolutional neural network (CNN) has gained popularity due to its nominal computational complexity,… More >

  • Open Access

    REVIEW

    Modeling Methods of 3D Model in Digital Twins

    Ruijun Liu1, Haisheng Li1,*, Zhihan Lv2

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 985-1022, 2023, DOI:10.32604/cmes.2023.023154

    Abstract To understand the current application and development of 3D modeling in Digital Twins (DTs), abundant literatures on DTs and 3D modeling are investigated by means of literature review. The transition process from 3D modeling to DTs modeling is analyzed, as well as the current application of DTs modeling in various industries. The application of 3D DTs modeling in the fields of smart manufacturing, smart ecology, smart transportation, and smart buildings in smart cities is analyzed in detail, and the current limitations are summarized. It is found that the 3D modeling technology in DTs has broad prospects for development and has… More >

  • Open Access

    ARTICLE

    Multi-Objective Optimization of External Louvers in Buildings

    Tzu-Chia Chen1, Ngakan Ketut Acwin Dwijendra2, I. Wayan Parwata3, Agata Iwan Candra4, Elsayed M. Tag El Din5,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1305-1316, 2023, DOI:10.32604/cmc.2023.033274

    Abstract Because solar energy is among the renewable energies, it has traditionally been used to provide lighting in buildings. When solar energy is effectively utilized during the day, the environment is not only more comfortable for users, but it also utilizes energy more efficiently for both heating and cooling purposes. Because of this, increasing the building’s energy efficiency requires first controlling the amount of light that enters the space. Considering that the only parts of the building that come into direct contact with the sun are the windows, it is essential to make use of louvers in order to regulate the… More >

  • Open Access

    ARTICLE

    Intelligent Risk-Identification Algorithm with Vision and 3D LiDAR Patterns at Damaged Buildings

    Dahyeon Kim1, Jiyoung Min1, Yongwoo Song1, Chulsu Kim2, Junho Ahn1,*

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2315-2331, 2023, DOI:10.32604/iasc.2023.034394

    Abstract Existing firefighting robots are focused on simple storage or fire suppression outside buildings rather than detection or recognition. Utilizing a large number of robots using expensive equipment is challenging. This study aims to increase the efficiency of search and rescue operations and the safety of firefighters by detecting and identifying the disaster site by recognizing collapsed areas, obstacles, and rescuers on-site. A fusion algorithm combining a camera and three-dimension light detection and ranging (3D LiDAR) is proposed to detect and localize the interiors of disaster sites. The algorithm detects obstacles by analyzing floor segmentation and edge patterns using a mask… More >

  • Open Access

    ARTICLE

    Determination of Effectiveness of Energy Management System in Buildings

    Vivash Karki1, Roseline Mostafa2, Bhaskaran Gopalakrishnan2,*, Derek R. Johnson3

    Energy Engineering, Vol.120, No.2, pp. 561-586, 2023, DOI:10.32604/ee.2023.025218

    Abstract Building Energy Management Systems (BEMS) are computer-based systems that aid in managing, controlling, and monitoring the building technical services and energy consumption by equipment used in the building. The effectiveness of BEMS is dependent upon numerous factors, among which the operational characteristics of the building and the BEMS control parameters also play an essential role. This research develops a user-driven simulation tool where users can input the building parameters and BEMS controls to determine the effectiveness of their BEMS. The simulation tool gives the user the flexibility to understand the potential energy savings by employing specific BEMS control and help… More > Graphic Abstract

    Determination of Effectiveness of Energy Management System in Buildings

  • Open Access

    ARTICLE

    The Impact of Sun Radiation on the Thermal Comfort in Highly Glazed Buildings Equipped with Floor Heating Systems

    Abdelatif Merabtine1,*, Abdelhamid Kheiri2, Salim Mokraoui3, Lyes Bellagh1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.4, pp. 941-951, 2023, DOI:10.32604/fdmp.2023.022029

    Abstract Occupants of highly glazed buildings often suffer from thermal discomfort during the mid-seasons when no shadings are used in such buildings, especially when inertial heating systems are used. The present study is devoted to evaluating the impact of long solar beam exposure on the internal thermal discomfort in glazed spaces when heating is implemented through a floor system. A comprehensive experimental study is carried out using an experimental bi-climatic chamber which is fully monitored and controlled, allowing realistic simulations of the dynamic movement of the sun patch on a heated slab. The findings show that a period of discomfort as… More >

  • Open Access

    ARTICLE

    Energy Consumption Analysis and Characterization of Aerospace Manufacturing Facilities in the United States–A Step towards Sustainable Development

    Khaled Bawaneh1,*, Bradley Deken2, Amin Esmaeili3

    Energy Engineering, Vol.120, No.1, pp. 23-34, 2023, DOI:10.32604/ee.2023.019813

    Abstract In this study, information on energy usage in the United States (U.S.) aerospace manufacturing sector has been analyzed and then represented as energy intensities (kWh/m2) to establish benchmark data and to compare facilities of varying sizes. First, public sources were identified and the data from these previously published sources were aggregated to determine the energy usage of aerospace manufacturing facilities within the U.S. From this dataset, a sample of 28 buildings were selected and the energy intensity for each building was estimated from the data. Next, as a part of this study the energy data for three additional aerospace manufacturing… More >

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