Article
Green & Sustainable Science & Technology
Mary Katherine Watson, Elise Barrella, Robin Anderson
Summary: Concept maps are a graphical tool that helps students exercise systems thinking while tackling sustainability issues. A study conducted on undergraduate students showed that concept mapping led to higher perceived load compared to simple listing tasks, but the neurological load was similar. The performance of concept maps was not associated with increased neurological load.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Construction & Building Technology
Xiaoyue Lang, Zheng Wang, Xiaoyu Tian, Yifeng Wu, Shuqing Zhu, Weiwei Liu
Summary: Climate warming can lead to extreme high indoor temperatures, which may pose a risk to work safety. This study found that extreme high indoor temperatures have effects on EEG signals, indicating potential damage to cognitive performance.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Xiaoyue Lang, Pawel Wargocki, Weiwei Liu
Summary: The study investigated the relationship between EEG signals, thermal comfort, and cognitive performance in neutral to hot indoor environments. The results showed a significant correlation between the relative power of EEG signals and thermal comfort/performance of neurobehavioral tests. Different EEG bands had varying correlations with thermal comfort and test performance.
Article
Chemistry, Analytical
Won-Ji Kim, Tae-Kyung Lee
Summary: This study proposed a plan to implement a pleasant and healthy indoor landscape in subway stations. The investigation showed that users preferred the 3D landscape model with a greenness index of 15% for underground subway stations and 10% for ground subway stations.
Article
Horticulture
Yun-Jin Kim, Sin-Ae Park
Summary: This study compared the effects of horticultural activities with different levels of cognitive demand on psychophysiological responses in adults. The results showed that activities with high cognitive difficulty activated the working memory, while activities with low cognitive difficulty stabilized and relaxed brain activation. The cognitive demand of horticultural activities had a significant impact on psychophysiological changes in adults.
Article
Chemistry, Multidisciplinary
Shu-Fen Wu, Chieh-Hsin Kao, Yu-Ling Lu, Chi-Jui Lien
Summary: This study used EEG to gather and examine information about the emergence of flow state during tests and its related factors. Through experiments and measurements on a science-gifted student, the study revealed the correlation between cognitive load, self-efficacy, item difficulty, and the EEG-detected real-time flow states. The study also identified several conditions that affected the occurrence of flow states.
APPLIED SCIENCES-BASEL
(2022)
Article
Biology
Tze-Huan Lei, Li Lan, Faming Wang
Summary: Thermal comfort in indoor environments is a physiological response regulated by skin and core temperatures. Proper experimental design and standardization are necessary when conducting thermal comfort experiments using indoor occupants. This article aims to provide guidelines for conducting such experiments during normal occupational activities and sleep in a home-based setting, in order to improve the experimental design and standardization. The key takeaway is that prior sample analysis and adherence to the guidelines outlined in this article are essential for studying thermal comfort related to indoor occupants.
JOURNAL OF THERMAL BIOLOGY
(2023)
Article
Psychology, Multidisciplinary
Shirin Esmaeili Bijarsari
Summary: Dual-task paradigms involve implementing an additional task alongside a learning task to measure cognitive load. However, there is currently a lack of standardization and comparability across studies, leading to potential validity issues and difficulty in comparing results.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Psychology, Multidisciplinary
Shu-Ping Lee, Shujen Lee Chang, Hui-Kai Su, Zhen-Yang Cui, Shin-Da Lee
Summary: This study investigates the impact of sleep quality, personality, and cognitive load on second language writing anxiety and achievement. The results show that sleep quality, social inhibition personality, and computer-induced cognitive load are associated with anxiety, while anxiety and computer-induced cognitive load are negatively correlated with achievement.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Engineering, Biomedical
Shankar S. Gupta, Trupti J. Taori, Mahesh Y. Ladekar, Ramchandra R. Manthalkar, Suhas S. Gajre, Yashwant V. Joshi
Summary: The study evaluates cognitive workload across tasks using EEG signals and introduces an efficient model for handling multitasking. By employing specific time processing techniques and deep neural network structures, accurate classification across tasks was achieved.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Neurosciences
Yunhang Lu, Jingu Kim, Teri Kim
Summary: This study used functional magnetic resonance imaging to investigate the neurophysiological differences underlying motor and cognitive skills. Three types of tasks were developed and the results showed significant activation patterns in different brain regions for the complex motor task compared to the simple motor task, as well as for the cognitive task compared to the simple motor task. These findings challenge the conventional classification of cognitive and motor tasks based solely on decision making and motor control.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Information Science & Library Science
Shobhit Kakaria, Farzad Saffari, Thomas Z. Ramsay, Enrique Bigne
Summary: Rapid adoption of virtual reality in retail is changing consumers' buying patterns, posing challenges to marketers. This study examined impulsive behavior and unplanned purchases in a virtual retail store and found that consumers' impulsiveness is significantly related to unplanned expenditure and purchases.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2023)
Article
Construction & Building Technology
Hanying Zheng, Liling Pan, Tingxun Li
Summary: In this study, neural characteristics associated with thermal sensation were identified by conducting experiments in five distinct thermal conditions based on predicted mean vote (PMV) values. It was found that the channels in the alpha bands were more activated when subjects perceived different thermal environments, and certain Brodmann areas were inferred to be involved in processing thermal sensation stimuli. The application of phase-amplitude coupling (PAC) technology improved the recognition accuracy of EEG and proposed a new multi-layer PAC feature structure for cross-subject classification, achieving high accuracy in thermal sensation classification.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Food Science & Technology
Rae Yi Xin Par, Cheryl Wei Ling Teo, Javier Joon Kiat Tan, Yee Wei Ung, Kiang Soon Heng, Li Ting Hang, Mervyn Yeo, Wei Ney Yap
Summary: This study aimed to investigate the beneficial effects of tocotrienols (T3) supplementation on attention and memory. The results showed that T3 supplementation significantly improved memory and reaction speed, and reduced brainwave power, indicating enhanced neural efficacy and cognitive performance.
JOURNAL OF FUNCTIONAL FOODS
(2022)
Article
Computer Science, Cybernetics
Martin K. -C. Yeh, Yu Yan, Yanyan Zhuang, Lois Anne DeLong
Summary: This experimental study used EEG to measure cognitive load in programmers predicting C code output, finding that cognitive load can affect code comprehension performance, along with other factors like forgetting rules or misreading code. Different code patterns can impact programmers' cognitive processes in varying ways.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Construction & Building Technology
Juwon Hong, Hyuna Kang, Taehoon Hong, Hyo Seon Park, Dong-Eun Lee
Summary: This study developed a construction noise rating system that evaluates the impact of construction noise over a large area and classifies it into four grades. The system aims to prevent disputes between occupants and construction companies by considering legal and health impacts, and provide acoustic comfort to regional communities.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Construction & Building Technology
Seunghoon Jung, Jaewon Jeoung, Taehoon Hong
Summary: This study proposes a novel real-time indoor temperature control system that optimizes both comfort and energy consumption using deep learning algorithms. By utilizing machine learning and reinforcement learning models, the system is able to automatically recognize occupant activities and adjust temperature in real time, improving comfort and saving energy.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Changyoon Ji, Taehoon Hong, Hakpyeong Kim, Seungkeun Yeom
Summary: This study analyzes the effects of building energy efficiency certificates (BEEC) on non-residential buildings, revealing that BEEC contributes to reducing heating energy usage but has limitations in baseload and cooling energy consumption. However, energy-saving technologies in higher-level BEEC buildings effectively reduce energy consumption, suggesting that the government's plan to require high-level BEEC for large buildings is appropriate.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Seungkeun Yeom, Hakpyeong Kim, Taehoon Hong, Changyoon Ji, Dong-Eun Lee
Summary: This study found that the visual elements of green walls have a significant emotional impact on occupants, but their impact on task performance is not significant. However, the task load of the occupants does influence their task performance. This research can help determine the optimal type and area of green walls for indoor spaces.
Article
Engineering, Industrial
Taehoon Hong, Seulki Sung, Hyuna Kang, Juwon Hong, Hakpyeong Kim, Dong-Eun Lee
Summary: The study aimed to develop a monitoring system called MONVID for construction sites and evaluate its applicability. Through quantitative and qualitative evaluations, MONVID II was found to be superior to CMIs and MONVID I in almost all aspects, making it the optimal real-time monitoring system.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2022)
Article
Architecture
Jewoo Choi, Deok Shin Kang, Min Gyu Lee, Sang Geun Bae, Taehoon Hong, Dong-Eun Lee, Hyo Seon Park
Summary: This study proposes a vibration safety evaluation model for coke drums in operation, and develops a monitoring system to validate the model predictions. The technique is applied to two coke drums in operation to analyze the factors causing vibration and assess the vibration safety.
JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING
(2023)
Article
Engineering, Industrial
Junwoo Park, Jaehong Kim, Dongyeop Lee, Kwangbok Jeong, Jaewook Lee, Hakpyeong Kim, Taehoon Hong
Summary: This study proposes a method for scan-to-BIM automation, which includes extracting indoor objects from point clouds based on deep learning and compensating for incomplete object information from occluded point clouds. By increasing the number of object classes and defining spatial relationships between objects, the accuracy of bounding boxes extracted from point clouds is improved. Furthermore, a parametric algorithm is developed to automatically generate BIM models.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2022)
Article
Construction & Building Technology
Hakpyeong Kim, Dahyun Jung, Heeju Choi, Taehoon Hong
Summary: This study developed an advanced thermal comfort-prediction model considering bio-signal features such as blood glucose and cortisol. The proposed model showed higher accuracy and feature importance compared to conventional models, making it applicable for future smart building systems.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Kwangbok Jeong, Jongbaek An, Taehoon Hong, Jaewook Lee, Yongwook Jeong
Summary: This study aims to establish the optimal government solar subsidy program to promote the installation of photovoltaic systems in multi-family housing complexes. The results show that the level of government solar subsidies has a significant impact on the economic profitability of the PV systems.
ENERGY AND BUILDINGS
(2022)
Article
Computer Science, Artificial Intelligence
Hyo Seon Park, Taehoon Hong, Dong-Eun Lee, Byung Kwan Oh, Branko Glisic
Summary: This study presents a model for predicting long-term strain in concrete structures using weather data. A convolutional neural network is used to establish the relationship between weather and strain data, and different types of weather data are utilized to determine the significant factors for concrete deformation prediction.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Sean Kapp, Jun-Ki Choi, Taehoon Hong
Summary: The industrial sector consumes a significant amount of global energy and is often targeted for reduction. Previous models had limitations in capturing all factors contributing to energy consumption. Using data from 45 manufacturing plants, a machine-learning model was developed to predict industrial building energy consumption. The model incorporates weather conditions, support equipment parameters, and production-related factors. Results showed that a linear regression model outperformed a support vector machine and utilized features more representative of physical systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Construction & Building Technology
Jewoo Choi, Do Hun Hong, Seung Hyeong Lee, Ha Yeon Lee, Taehoon Hong, Dong-Eun Lee, Hyo Seon Park
Summary: This paper developed a multi-objective green design model for prestressed concrete slabs to minimize CO2 emissions and construction costs. The effects of changes in the dimensions and tendons of PC slabs on construction costs and environmental impact were analyzed using the proposed model. Two indicators were developed to evaluate the performance of the practical green designs.
ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT
(2023)
Article
Construction & Building Technology
Seungkeun Yeom, Jongbaek An, Taehoon Hong, Sungchul Kim
Summary: With the increasing use of front windows such as curtain walls, the study aimed to find the optimal visible light transmittance (VLT) of semi-transparent photovoltaic (STPV) systems that consider energy performance and occupants' satisfaction. Through analysis of a residential building in South Korea, it was found that the optimal VLT of STPV ranged from 20.85% to 25.53% depending on the weight assigned to energy performance. The findings of this study can help building owners and designers predict energy performance and occupants' satisfaction based on the VLT of STPV.
BUILDING AND ENVIRONMENT
(2023)
Article
Engineering, Marine
Pham Toan Thang, Changsoo Kim, Hyounseung Jang, Taehoon Kim, Jimin Kim
Summary: This research investigates the buckling behavior of hybrid-honeycomb sandwich (HHS) cylindrical shells under hydrostatic pressure. The HHS shells consist of ceramic-metal functionally graded (FG) layers on the outer and inner surfaces, with a layer of lightweight hybrid-honeycomb material in the center. The results show improved buckling resistance, stability, and enhanced energy absorption due to the unique microstructure of the auxetic materials.
Review
Construction & Building Technology
Elnaz Khankhaje, Taehoon Kim, Hyounseung Jang, Chang-Soo Kim, Jimin Kim, Mahdi Rafieizonooz
Summary: Disposing fly ash in landfills of coal fire power plants has caused environmental and health problems. Researchers have studied the addition of fly ash as a cement replacement in pervious concrete. This review paper aims to evaluate the impact of adding fly ash as a partial substitution of cement in pervious concrete. Experimental results suggest that adding fly ash reduces the void content and permeability of pervious concrete due to its filler effect. The optimum level of cement substitution with fly ash is found to be 10-30%.
DEVELOPMENTS IN THE BUILT ENVIRONMENT
(2023)
Article
Construction & Building Technology
Parth Bansal, Steven Jige Quan
Summary: This study investigates the relationship between urban form and canopy layer urban heat island (CUHI) using a relatively large sample of microclimate sensors in Seoul, Korea. The study compares different statistical models and finds that the spatially explicit gradient boosting decision tree (GBDT) model has the highest accuracy. The study also shows that the effect of urban form on CUHI varies at different time instances during the day. These findings provide valuable insights for planners to understand the complexity of urban climate and reduce CUHI magnitude.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Miaomiao Liu, Salah Almazmumi, Pinlu Cao, Carlos Jimenez-bescos, John Kaiser Calautit
Summary: Windcatchers provide effective low-energy ventilation and summer passive cooling in temperate climates. However, their use in winter is limited due to significant ventilation heat loss and potential discomfort. This study evaluates the applicability of windcatchers in low-temperature conditions, highlighting the need for control strategies to reduce over-ventilation and the integration of heat recovery or thermal storage to enhance winter thermal conditions.
BUILDING AND ENVIRONMENT
(2024)
Review
Construction & Building Technology
Behrouz Nourozi, Aneta Wierzbicka, Runming Yao, Sasan Sadrizadeh
Summary: This article presents a systematic review of ventilation solutions in hospital wards, aiming to enhance pathogen removal performance while maintaining patient and healthcare staff comfort using air-cleaning techniques. The study reveals the importance of proper ventilation systems in reducing infection risk and adverse effects of cross-contamination.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhen Yang, Weirong Zhang, Hongkai Liu, Weijia Zhang, Mingyuan Qin
Summary: The study examines the influence of personalized local heating on the thermal comfort of occupants in old residential buildings. The findings reveal that personalized local heating can increase the overall thermal sensation of occupants, but only a few methods are effective in enhancing thermal comfort. The chosen heating methods and background temperature affect the participants' selection of heating parts.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Hong Cheng, Dan Norback, Huilin Zhang, Liu Yang, Baizhan Li, Yinping Zhang, Zhuohui Zhao, Qihong Deng, Chen Huang, Xu Yang, Chan Lu, Hua Qian, Tingting Wang, Ling Zhang, Wei Yu, Juan Wang, Xin Zhang
Summary: The home environment and sick building syndrome (SBS) symptoms in five southern Chinese cities have been studied over time. The study found a decrease in asthma prevalence and an increase in allergic rhinitis. Cockroaches, rats, mice, mosquitoes or flies were identified as consistent biological risk factors for SBS symptoms, while redecoration, buying new furniture, and traffic air pollution were identified as other risk factors.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Chaojie Xing, Zhengtao Ai, Zhiwei Liu, Cheuk Ming Mak, Hai Ming Wong
Summary: This study experimentally investigated the emission characteristics of droplets around the mouth during dental treatments. The results showed that the peak mass fraction of droplets occurs within the size range of 20 μm to 100 μm, and droplets with a diameter less than 200 μm account for over 80% of the mass fraction. The dominant emission direction of droplets is towards the dummy's head and chest, forming an approximately cone shape.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhijian Liu, Zhe Han, Lina Hu, Chenxing Hu, Rui Rong
Summary: This study compared the effects of different respiratory behaviors on the distribution of aerosols in a ward and the risk of infection for healthcare workers using numerical simulation. It was found that talking in the ward significantly increased aerosol concentrations, particularly short periods of talking. Wards designed with side-supply ventilation had lower overall infection risk. Talking alternately between healthcare workers and patients slightly extended the impact time of aerosols.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Yan, Mengyuan Kang, Haodong Zhang, Zhiwei Lian, Xiaojun Fan, Chandra Sekhar, Pawel Wargocki, Li Lan
Summary: In a high-density city, opening windows for sleep may lead to increased indoor temperature, higher PM2.5 concentration, and noise disturbance, which can negatively impact sleep quality.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Bai, Liang Liu, Kai Liu, Shuai Yu, Yifan Shen, Di Sun
Summary: This study developed a non-intrusive personal thermal comfort model using machine learning techniques combined with infrared facial recognition. The results showed that the ensemble learning models perform better than traditional models, and the broad learning model has a higher prediction precision with lower computational complexity and faster training speed compared to deep neural networks. The findings provide a reference for optimizing building thermal environments.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yue Lei, Zeynep Duygu Tekler, Sicheng Zhan, Clayton Miller, Adrian Chong
Summary: Mixed-mode ventilation is a promising solution for achieving energy-efficient and comfortable indoor environments. This study found that occupants can thermally adapt when switching between natural ventilation (NV) and air-conditioning (AC) modes within the same day, with the adaptation process stabilizing between 35 to 45 minutes after the mode switch. These findings are important for optimizing thermal comfort in mixed-mode controls, considering the dynamic nature of thermal adaptation.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Nan Mo, Jie Han, Yingde Yin, Yelin Zhang
Summary: This study develops a method based on the LCZ framework for a comprehensive evaluation of urban-scale heat island effects, considering the impact of geographic factors on LST. The results show that Guilin's geomorphological conditions lead to abnormal heat island effects during winter, and the cooling effects of mountains and water bodies vary seasonally in different built areas, with LCZ 2 exhibiting the strongest cooling effect.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Tunga Salthammer
Summary: Monitoring the potential formaldehyde emission of wood-based materials through test chamber investigations has significantly contributed to reducing indoor formaldehyde concentrations. However, the different methodologies used in these procedures prevent direct result comparison. Empirical models for converting formaldehyde steady-state concentrations based on temperature, humidity, air change rate, and loading were developed in the 1970s and have been modified to accommodate the development of lower-emitting materials. Formaldehyde emissions from wood-based materials are complex and require nonlinear regression tools for mathematical analysis.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Katarina Stebelova, Katarina Kovacova, Zuzana Dzirbikova, Peter Hanuliak, Tomas Bacigal, Peter Hartman, Andrea Vargova, Jozef Hraska
Summary: This study investigated the impact of reduced short-wavelength light on the hormone melatonin metabolite 6-sulfatoxymelatonin (u-sMEL) and examined the association between previous day's light exposure and u-sMEL. It was found that reducing short-wavelength light during the day did not change the concentration of u-sMEL. Personal photopic illuminance was positively correlated with u-sMEL in the reference week. The illuminance had a significant impact on u-sMEL, as shown by the evaluation of the mean of all three urine samples. However, this correlation was not found in the experimental week.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Ruoxin Xiong, Ying Shi, Haoming Jing, Wei Liang, Yorie Nakahira, Pingbo Tang
Summary: This study proposes a data-model integration method to identify and calibrate uncertainties in machine learning models, leading to improved thermal perception predictions. The method utilizes the Multidimensional Association Rule Mining algorithm to identify biased human responses and enhances prediction accuracy and reliability. The study also evaluates different calibration techniques and discovers their potential in enhancing prediction reliability.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Beichao Hu, Zeda Yin, Abderrachid Hamrani, Arturo Leon, Dwayne McDaniel
Summary: This paper introduces an innovative super-resolution approach to model the air flow and temperature field in the cold aisle of a data center. The proposed method reconstructs a high-fidelity flow field by using a low-fidelity flow field, significantly reducing the computational time and enabling real-time prediction.
BUILDING AND ENVIRONMENT
(2024)
