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In this paper, a decoupled model of a train including an on-board hybrid accumulation system is presented to be used in DC traction networks. The train and the accumulation system behavior are modeled separately, and the results are then combined in orde...
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Pablo Brusola, Sergio Garcia-Nieto, Jose Vicente Salcedo, Miguel Martinez and Robert H. Bishop
This paper presents a mathematical modeling approach utilizing a fuzzy modeling framework for fixed-wing aircraft systems with the goal of creating a highly desirable mathematical representation for model-based control design applications. The starting p...
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Angel E. Muñoz-Zavala, Jorge E. Macías-Díaz, Daniel Alba-Cuéllar and José A. Guerrero-Díaz-de-León
This paper reviews the application of artificial neural network (ANN) models to time series prediction tasks. We begin by briefly introducing some basic concepts and terms related to time series analysis, and by outlining some of the most popular ANN arc...
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Sanjaya Chathuranga, Shan Jayasinghe, Jurgita Antucheviciene, Ruwan Wickramarachchi, Nilan Udayanga and W. A. S. Weerakkody
The aim of this study is to identify practices that would enable building construction companies to adopt agile project management methodologies during the design stage of projects that use building information modelling (BIM) solutions in the designing ...
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Yik Kang Ang, Amin Talei, Izni Zahidi and Ali Rashidi
Neuro-fuzzy systems (NFS), as part of artificial intelligence (AI) techniques, have become popular in modeling and forecasting applications in many fields in the past few decades. NFS are powerful tools for mapping complex associations between inputs and...
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Carly Lawyer, Li An and Erfan Goharian
Global warming and climate variations are expected to alter hydrologic conditions and exacerbate flooding, primarily through increasingly frequent and intense storm events and sea-level rise. The interactions between coastlines and their inhabitants arou...
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José Pinto, João R. C. Ramos, Rafael S. Costa and Rui Oliveira
In this paper, a computational framework is proposed that merges mechanistic modeling with deep neural networks obeying the Systems Biology Markup Language (SBML) standard. Over the last 20 years, the systems biology community has developed a large numbe...
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Harrison W. Smith, Amanda J. Ashworth and Phillip R. Owens
Optimizing soil?crop?landscape occurrence is essential for sustainable intensification and food security, but little work has been done to evaluate these parameters on Tribal lands. The objective of this study was to develop first ever high-resolution cr...
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Hui Zhu, Wen Yang, Shihong Li and Aiping Pang
Fault detection in heating, ventilation and air-conditioning (HVAC) systems can effectively prevent equipment damage and system energy loss, and enhance the stability and reliability of system operation. However, existing fault detection strategies have ...
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Yajie Zhang, Behrang Vand and Simone Baldi
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the building performance. In the state-of-the-art, building performance analysis is separated into building simulation and control management: this may cause ina...
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Kate E. Buenau, Lysel Garavelli, Lenaïg G. Hemery and Gabriel García Medina
Understanding the environmental effects of marine energy (ME) devices is fundamental for their sustainable development and efficient regulation. However, measuring effects is difficult given the limited number of operational devices currently deployed. N...
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Luca Castellini, Federico Gallorini, Giacomo Alessandri, Erick Fernando Alves, Dan Montoya, Bhavana Mudigonda and Elisabetta Tedeschi
The power take-off (PTO) of a wave energy converter (WEC) converts mechanical power extracted from the waves into electrical power. Increasing PTO performance under several operational conditions is therefore essential to reduce the levelized cost of ene...
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Ashit Harode, Mahnaz Ensafi and Walid Thabet
Facility lifecycle data captured in BIM during design and construction are very valuable for effective facility operations and maintenance. Traditionally, model authoring and analysis tools have been used to search and query model information. These tool...
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Mingke Li, Heather McGrath and Emmanuel Stefanakis
Among the most prevalent natural hazards, flooding has been threatening human lives and properties. Robust flood simulation is required for effective response and prevention. Machine learning is widely used in flood modeling due to its high performance a...
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Ehsan Shirazi and Mohammad Zolghadr
This paper studies a design of a puzzle-based storage system. We developed an item retrieval algorithm for our system which has three advantages over the previous counterparts in the literature: (i) we can retrieve items from all sides of our storage sys...
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Andrei Vladyko, Anastasia Spirkina and Vasiliy Elagin
Like multiservice networks, blockchain technology is currently experiencing significant development because of its decentralization and ability to organize secure, seamless, reliable data exchange and storage. Due to the significant demand for the techno...
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Venkataramana Sridhar, Syed Azhar Ali and David J. Sample
The Mekong River Basin is one of the world?s major transboundary basins. The hydrology, agriculture, ecology, and other watershed functions are constantly changing as a result of a variety of human activities carried out inside and by neighboring countri...
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Khalil Aloui, Amir Guizani, Moncef Hammadi, Thierry Soriano and Mohamed Haddar
In recent years, collaborative robots have become one of the main drivers of Industry 4.0. Compared to industrial robots, automated guided vehicles (AGVs) are more productive, flexible, versatile, and safer. They are used in the smart factory to transpor...
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Miguel Rocha, Anabela Oliveira, Paula Freire, André B. Fortunato, Alphonse Nahon, José L. Barros, Alberto Azevedo, Filipa S. B. F. Oliveira, João Rogeiro, Gonçalo Jesus, Ricardo J. Martins, Pedro P. Santos, Alexandre O. Tavares and João Oliveira
Monitoring and forecasting platforms such as MOSAIC can support real-time response and alert, contribute to emergency assessment and risk management for multiple hazards in coastal regions, performing new safety comprehensive approaches for these areas.
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Andrea Gatto, Gabriele Accarino, Valeria Aloisi, Francesco Immorlano, Francesco Donato and Giovanni Aloisio
Compartmental models have long been used in epidemiological studies for predicting disease spread. However, a major issue when using compartmental mathematical models concerns the time-invariant formulation of hyper-parameters that prevent the model from...
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