Article
Green & Sustainable Science & Technology
Shady Jami, Nima Forouzandeh, Zahra Sadat Zomorodian, Mohammad Tahsildoost, Maryam Khoshbakht
Summary: This study highlights the importance of considering occupant energy behavior in assessing energy efficiency in buildings. By analyzing different OEB scenarios, the study shows the varying impacts of energy conservation measures on energy savings, and provides a decision-making tool for prioritizing ECMs.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Construction & Building Technology
Mohammad Haghshenas, Mohammad Hadianpour, Andreas Matzarakis, Mohammadjavad Mahdavinejad, Mojtaba Ansari
Summary: Most thermal indices are developed based on European/North American subjects and climates, but should also be investigated in other regions such as Tehran. This study aimed to improve the applicability of nine thermal indices in Tehran, with modified scales showing higher correlation with thermal sensation votes and better prediction percentages.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Construction & Building Technology
Alireza Karimi, Atousa Bayat, Negar Mohammadzadeh, Mostafa Mohajerani, Mansour Yeganeh
Summary: This study examines the microclimate of outdoor settings in Tehran, Iran and investigates the relationship between different thermal comfort indices such as PMV, PET, and TSV. The research was conducted in district 22 over a 16-day period using measurements and surveys. The analysis of 680 questionnaires provides insights into the most and least comfortable thermal conditions and the limitations of PMV in assessing thermal sensations above 30 degrees C. The study suggests using non-linear regression formulas to anticipate thermal comfort in excessively hot circumstances and emphasizes the need for revising heat stress classifications to assess outdoor thermal conditions in Tehran.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Navid Ziaee, Roza Vakilinezhad
Summary: Efficient daylight design in educational buildings is crucial for student visual comfort and productivity, while reducing energy consumption. Excess daylight entry can lead to discomfort and overheating, emphasizing the importance of defining optimal daylight control device designs. This study investigates the effect of sky cloudiness on optimal light-shelf properties for typical classrooms and identifies the best options for classrooms in two cities, Tehran and Sari. Optimized light shelves enhance daylight and thermal comfort, with different optimal properties based on sky conditions in each city.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Ana Maria Bueno, Inaiele Mendes da Luz, Iasmin Lourenco Niza, Evandro Eduardo Broday
Summary: This study evaluated the relationship between thermal dissatisfaction and productivity in university classrooms and found that thermal dissatisfaction has an impact on students' productivity.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Valentina Tomat, Marika Vellei, Alfonso P. Ramallo-Gonzalez, Aurora Gonzalez-Vidal, Jerome Le Dreau, Antonio Skarmeta-Gomez
Summary: Demand Response (DR) strategies are an innovative option for optimizing energy management. This study analyzed user interactions with smart thermostats during DR events using real-world data and identified different categories of users through clustering techniques. The findings revealed that the behavior of some users can reduce the effectiveness of the Direct Load Control (DLC) strategy.
ENERGY AND BUILDINGS
(2022)
Article
Environmental Sciences
Sijing Liu, Yongxin Xie, Yingxin Zhu, Borong Lin, Bin Cao, Nyuk Hien Wong, Jianlei Niu, Zhaosong Fang, Dayi Lai, Weiwei Liu, Jianxiu Wen, Di Mou, Hao Tang, Zhaoru Liu, Marcel Ignatius
Summary: The study demonstrates that people are less sensitive to changes in thermal environment outdoors compared to indoors. Thermal comfort cannot be simply equated to thermal neutrality, especially in outdoor spaces. Outdoor spaces in certain climate zones exhibit higher comfort rates, and natural thermal resources may hold the key to extending indoor comfort ranges.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Construction & Building Technology
Tiantian Xu, Runming Yao, Chenqiu Du, Baizhan Li, Fangxin Fang
Summary: Understanding the relationship between past thermal experience and outdoor thermal comfort is important for sustainable urban design and city resilience. This study aims to reveal the quantitative relations and develop a new model by conducting a year-long survey and campaign in Chongqing, China. The results show that the temperature of past outdoor thermal experience is correlated with thermal sensitivity, deviation, and outdoor thermal demands. Based on the analysis, a new model has been developed and outdoor adaptive thermal comfort zones have been drawn.
BUILDING AND ENVIRONMENT
(2023)
Article
Multidisciplinary Sciences
Chenyan Song, Amy D. D. Droitcour, Shekh M. M. Islam, Avon Whitworth, Victor M. M. Lubecke, Olga Boric-Lubecke
Summary: Cognitive buildings can adjust lighting, temperature, ventilation, and other environmental parameters based on occupants' responses to the built environment. Doppler-radar based sensors have shown accurate occupancy detection and estimation of vital signs in challenging scenarios where other sensors fail. These sensors provide valuable information for space utilization optimization and can be used to improve human-building interactive systems.
SCIENTIFIC REPORTS
(2023)
Review
Energy & Fuels
Ilinca Nastase, Paul Danca, Florin Bode, Cristiana Croitoru, Lucian Fechete, Mihnea Sandu, Costin Ioan Cosoiu
Summary: This article provides an exhaustive review of data on the thermal comfort of passengers in electric vehicles, with a focus on specific design issues. It emphasizes the need for developing specific methods to assess thermal comfort in vehicles.
Article
Construction & Building Technology
Saud Ghani, Ahmed Osama Mahgoub, Foteini Bakochristou, Esmail A. ElBialy
Summary: This study compared the suitability of seven different thermal comfort indices for assessing outdoor thermal comfort in hot and arid environments, with the WBGT index deemed the most suitable.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
Matias Quintana, Stefano Schiavon, Federico Tartarini, Joyce Kim, Clayton Miller
Summary: Cohort Comfort Models (CCM) are a technique that predicts personalized thermal comfort for new building occupants by leveraging historical data from similar individuals. It combines background information and one-time surveys with physiological and environmental sensor measurements. The results demonstrate that CCM performs as well as or better than conventional models and achieves increased prediction accuracy when incorporating historical preference data points.
BUILDING AND ENVIRONMENT
(2023)
Review
Construction & Building Technology
Runming Yao, Shaoxing Zhang, Chenqiu Du, Marcel Schweiker, Simon Hodder, Bjarne W. Olesen, Jorn Toftum, Francesca Romana D'Ambrosio, Hansjuergen Gebhardt, Shan Zhou, Feng Yuan, Baizhan Li
Summary: This paper reviews the historical evolution of thermal comfort research, focusing on adaptive thermal comfort studies and evaluating representative prediction models. Based on the analysis, three thermal environment assessment approaches are classified and their strengths and constraints are analyzed.
BUILDING AND ENVIRONMENT
(2022)
Article
Thermodynamics
Debora Silva Molliet, Carlos Eduardo Keutenedjian Mady
Summary: Males and females have distinct anatomies, metabolic rates, and hormonal cycles that influence their thermal comfort conditions. Women generally require higher comfort temperatures than men, and higher environmental temperatures when wearing lightweight clothing can result in lower energy expenditure, reducing electricity consumption by approximately 22%.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Zhihong Miao, Ran Tu, Yang Kai, Guo Huan, Li Kang, Xuejin Zhou
Summary: This paper introduces a new method based on deep learning to predict personal thermal comfort in the vehicle via facial thermal image. The experiment shows that the method can accurately predict personal thermal comfort in the vehicular environment.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Computer Science, Cybernetics
Maria Teresa Garcia-Ordas, Hector Alaiz-Moreton, Jose-Luis Casteleiro-Roca, Esteban Jove, Jose Alberto Benitez-Andrades, Isaias Garcia-Rodriguez, Hector Quintian, Jose Luis Calvo-Rolle
Summary: This study compares the performance of four clustering techniques and aims to achieve strong hybrid models in supervised learning tasks. A real dataset from a bio-climatic house in a wind farm in Galicia, Spain is collected. The authors utilize different clustering methods followed by a regression technique to predict the output temperature of a thermal solar generation system. Two possible solutions are implemented to evaluate the quality of each clustering method, including unsupervised learning metrics and common error measurements for regression algorithms such as Multi Layer Perceptron.
CYBERNETICS AND SYSTEMS
(2023)
Article
Mathematics, Applied
Francisco Zayas-Gato, Alvaro Michelena, Hector Quintian, Esteban Jove, Jose-Luis Casteleiro-Roca, Paulo Leitao, Jose Luis Calvo-Rolle
Summary: In this research, a novel two-step system for anomaly detection is proposed and tested on multiple real datasets, achieving better results in terms of area under the curve with similar standard deviation values.
LOGIC JOURNAL OF THE IGPL
(2023)
Article
Mathematics, Applied
Svetlana Simic, Sladana Sakac, Zorana Bankovic, Jose R. Villar, Jose Luis Calvo-Rolle, Svetislav D. Simic, Dragan Simic
Summary: This paper introduces a new hybrid clustering system for diagnosing children with primary headache disorder. By combining analytic hierarchy process and weighted fuzzy c-means clustering method, the system can assist physicians in making more accurate diagnoses.
LOGIC JOURNAL OF THE IGPL
(2023)
Editorial Material
Chemistry, Multidisciplinary
Jose A. Orosa
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Analytical
Alvaro Michelena, Victor Cainzos Lopez, Francisco Lamas Lopez, Elena Arce, Jose Mendoza Garcia, Andres Suarez-Garcia, Guillermo Garcia Espinosa, Jose-Luis Calvo-Rolle, Hector Quintian
Summary: Systems engineering is crucial in the naval sector for designing, integrating, and managing complex systems. Specialized information systems are necessary for logistical support and sustainability in warships, but they require qualified operators. Anomaly detection systems, using intelligent techniques, can observe system behavior without expert knowledge. This study focuses on the Spanish navy's complex information system structure for maintenance and provisioning, suggesting the comparison of different techniques for anomaly detection in warship subsystems.
Article
Chemistry, Multidisciplinary
Jose A. Orosa, Jose M. Perez-Canosa, Francisco J. Perez-Castelo, Vanesa Duran-Grados
Summary: Shipmasters must quickly make decisions about speed and heading when faced with new sea conditions. This paper analyzes the ship's rolling motion using three approaches, including the ship's behavior after a single external force, the influence of regular beam seas at zero-speed conditions, and the influence of wave direction on a sailing ship. The results show that after five minutes, the rolling angle tends to be null and a coupling between the ship's rolling frequency and the waves' period and amplitude occurs. Novel guides in the form of 3D maps and polar diagrams are proposed to improve navigational parameters for ship behavior in changing weather conditions.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Marine
Ander Ruiz Zardoya, Inigo Oregui Bengoetxea, Angel Lopez Martinez, Inaki Lorono Lucena, Jose A. Orosa
Summary: The aim of this study was to develop an innovative methodology to optimize and adapt the combustion system of an LNG internal combustion marine engine to burn alternative marine fuels. By modifying both the prechamber and the spark plug, maximum improvements in thermal efficiency of 1.9% can be achieved, resulting in a 4.3% reduction in thermal efficiency compared to the LNG engine.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Thermodynamics
Ander Ruiz Zardoya, Inaki Lorono Lucena, Inigo Oregui Bengoetxea, Jose A. Orosa
Summary: Gas flaring is the burning of excess raw natural gas in oil and gas operations. This research aims to experiment with and validate a combustion chamber configuration for a low methane number fuel with a 2 MW natural gas internal combustion engine. Unlike existing solutions, the goal is to modify the engines to consistently run these fuels with minimal power and efficiency loss. The experiments on a 175 kW engine showed improved power losses of 27.98% compared to previous results, demonstrating the feasibility of the proposed technology.
Editorial Material
Chemistry, Multidisciplinary
Jose A. Orosa
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Marine
Jose M. Perez-Canosa, Jose A. Orosa, Francesc Xavier Martinez de Oses, Fco. Javier Lama-Carballo
Summary: General cargo ships, the most common type of merchant vessel, require careful planning and securing of non-standardized cargo. This research aims to provide guidance for ship operators on optimal navigational parameters and improve safety levels through analysis and comparison of criteria, as well as the development of a mathematical model.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Alvaro Michelena, Francisco Zayas-Gato, Esteban Jove, Jose-Luis Casteleiro-Roca, Hector Quintian, Oscar Fontenla-Romero, Jose Luis Calvo-Rolle
Summary: The present research proposes a novel adaptive anomaly detection method for optimizing the performance of nonlinear and time-varying systems. The method combines the real-time identification algorithm Recursive Least Squares with a centroid-based approach. For anomaly detection, the method compares the current system dynamics with the average dynamics identified in previous states for a specific setpoint. If the dynamics difference exceeds a certain threshold, it is classified as an anomaly. Otherwise, the centroid is updated with the newly identified data. The proposed method shows good performance in anomaly detection when tested on a real system, specifically the level control plant.
INTERNATIONAL JOINT CONFERENCE 15TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS (CISIS 2022) 13TH INTERNATIONAL CONFERENCE ON EUROPEAN TRANSNATIONAL EDUCATION (ICEUTE 2022)
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Francisco Zayas-Gato, Alvaro Michelena, Esteban Jove, Jose-Luis Casteleiro-Roca, Hector Quintian, Elena Arce, Jose Luis Calvo-Rolle
Summary: Blended Learning is an effective approach in education, combining face-to-face experiences with online technology to reduce the number of students in the classroom. A virtual lab can be used as a complementary method to overcome challenges in laboratory practice, providing students with an online working tool for applying control engineering concepts.
INTERNATIONAL JOINT CONFERENCE 15TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS (CISIS 2022) 13TH INTERNATIONAL CONFERENCE ON EUROPEAN TRANSNATIONAL EDUCATION (ICEUTE 2022)
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Nuno Basurto, Alvaro Michelena, Daniel Urda, Hector Quintian, Jose Luis Calvo-Rolle, Alvaro Herrero
Summary: Websites are common targets for attackers, and protecting them is crucial. However, there has been limited research on using unsupervised machine learning to analyze web traffic and detect attacks. This paper proposes the use of dimensionality reduction methods to generate intuitive visualizations for analyzing web traffic. Several methods have been benchmarked with promising results on the CSIC2010 v2 dataset, suggesting the need for further research.
INTERNATIONAL JOINT CONFERENCE 15TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS (CISIS 2022) 13TH INTERNATIONAL CONFERENCE ON EUROPEAN TRANSNATIONAL EDUCATION (ICEUTE 2022)
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Roberto Casado-Vara, Marcos Severt, Angel Martin del Rey, Hector Quintian, Jose L. Calvo-Rolle
Summary: Providing cybersecurity is crucial for companies in the digital society to prevent data loss or loss of control over computer networks. Understanding the network topology and accessible information on each node is essential for establishing reliable defenses and spreading malware. This research presents a new algorithm designed to control malware propagation and extract network topology information in unknown computer networks. Simulations on a virtual copy of a real intelligent building network in Salamanca demonstrate the algorithm's ability to discover all network nodes and adapt to network characteristics.
INTERNATIONAL JOINT CONFERENCE 15TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS (CISIS 2022) 13TH INTERNATIONAL CONFERENCE ON EUROPEAN TRANSNATIONAL EDUCATION (ICEUTE 2022)
(2023)
Article
Computer Science, Artificial Intelligence
Alvaro Michelena, Jose Aveleira-Mata, Esteban Jove, Hector Alaiz-Moreton, Hector Quintian, Jose Luis Calvo-Rolle
Summary: The prevalence of IoT systems has led to an increase in attacks, including Denial of Service attacks on main IoT protocols. This paper evaluates the performance of six classification techniques and Principal Component Analysis method in detecting DoS attacks in MQTT networks, achieving excellent results.
INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE
(2023)
