Article
Computer Science, Artificial Intelligence
Wei Huang, Haojie Shan, Jinshan Xu, Xinwei Yao
Summary: The technique of pairwise fused lasso has been validated as an efficient way for enhancing identification performance of sparse vectors. In this article, the novel algorithm PFL-DLMS is proposed based on pairwise fused lasso to identify sparse vectors. The algorithm constructs an objective function and uses variable regularizing coefficients to achieve sparsity in the identification process.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Review
Instruments & Instrumentation
J. Renwick Beattie, Francis W. L. Esmonde-White
Summary: Spectroscopy rapidly captures a large amount of data, which is processed using principal component analysis to simplify complex spectral datasets into comprehensible information. Despite its wide use, the linear algebra behind principal component analysis is often not well understood by applied scientists and spectroscopists. The process traces the journey of spectra and relies solely on the information within the spectra to provide meaningful interpretation and analysis.
APPLIED SPECTROSCOPY
(2021)
Article
Green & Sustainable Science & Technology
Abdulkerim Karaaslan, Mesliha Gezen
Summary: This study highlights the importance of focusing on renewable energy potential in Turkey to meet energy needs, identifying hydro, wind, and solar power as the best options. The findings support the decision policies aimed at reaching targets for the electricity sector in 2023.
Article
Computer Science, Interdisciplinary Applications
Yushan Liu, Luyi Li, Zeming Chang, Pan Wang
Summary: This paper proposes a Kriging-based analytical technique for estimating multivariate sensitivity indices (MSI). Two types of MSI are studied and analyzed, one based on principal component analysis (MSI-PCA) and the other based on covariance decomposition (MSI-CD). The accuracy and efficiency of the proposed KBA and D-Kriging methods are tested and discussed using four examples.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Computer Science, Artificial Intelligence
Shazia Ghufran, Srikant Gupta, Aquil Ahmed
Summary: This paper established a framework for optimal allocation in multivariate stratified samples using the fuzzy compromise method, solving the problem as an integer nonlinear programming problem by minimizing the sum of squares of coefficient of variation for different characteristics. A quantitative illustration was conducted to explain the statistical nature of the approaches and solved through the LINGO program. Different techniques for comparison were also studied.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Engineering, Multidisciplinary
Md. Sharif Uddin, Musa Miah, Md. Al-Amin Khan, Ali AlArjani
Summary: This paper proposes a fuzzy membership function tactic based on goal programming to solve multi-objective transportation problems in uncertain environments, allowing decision makers to choose confidence levels for different parameters and determine feasibility and satisfaction levels through compromise solutions.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Chen He, Yangrui Dong, Z. Jane Wang
Summary: When acting as dynamic receivers, UAVs have advantages over static base stations for RSS-based target searching. The RSS tends to become stronger as the UAV moves towards the estimated coordinate, leading to higher estimation precision. However, the assumption of a simple free space propagation model for RSS may result in poor estimation precision and failure in areas with complex topography. In this paper, we propose multi-UAV target searching with the assistance of radio maps, which provide information on the topography's influence on RSS. Simulations show that using radio maps significantly improves localization precision and searching efficiency in complex topography areas.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Environmental Sciences
Yihao Wu, Jia Huang, Xiufeng He, Zhicai Luo, Haihong Wang
Summary: The use of SAR altimetry data plays a crucial role in coastal MDT recovery, improving the accuracy of local MDT and enhancing the prediction of geostrophic velocities.
Article
Agriculture, Dairy & Animal Science
Mohamed M. Salem, Mohammed A. F. Nasr, Amin M. S. Amin
Summary: This study estimated genetic parameters and breeding values for birth weight and reproductive and milk traits of Egyptian buffalo. The study found that birth weight and reproduction traits would respond slowly to selection, while production traits would respond faster. The results suggest that principal component analysis could be used in genetic improvement programs for Egyptian buffalo instead of traditional selection indices.
TROPICAL ANIMAL HEALTH AND PRODUCTION
(2021)
Article
Multidisciplinary Sciences
Esra Ertan, Kadri Ulas Akay
Summary: This study proposes a new class of estimators based on Poisson Ridge Estimator (PRE) as an alternative to existing biased estimators in Poisson regression models. The superiority of the proposed estimator over others is confirmed in terms of asymptotic matrix mean square error. Two separate Monte Carlo simulation studies and real data analysis are conducted to demonstrate the performance of the proposed estimator.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Environmental
Amanda Vitoria Santos, Aline Ribeiro Alkmim Lin, Miriam Cristina Santos Amaral, Silvia Maria Alves Correa Oliveira
Summary: This study investigated the performance of an MBR treating industrial wastewater under different operating variables using PCA and MSPC techniques. The results showed that sludge filterability, temperature, and SDWC were the most influential variables on membrane permeability, and multivariate control charts were effective in predicting MBR performance and detecting operational faults.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Chuan Zhang, Zhizhen Wu, Christoph Studer, Zaichen Zhang, Xiaohu You
Summary: This paper proposes an efficient GS-based soft-output data detector and corresponding VLSI architecture for massive MIMO systems, achieving throughput of 732 Mb/s with close-to-MMSE error-rate performance. Optimization methods are used to reduce processing latency and area on the VLSI architecture level. The proposed solution shows advantages in complexity and efficiency over existing designs, especially under challenging propagation conditions.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Computer Science, Information Systems
Yun-joong Park, Sang-mo Sung, Joon-young Kim, Jae-il Jung
Summary: This paper presents an interference rejection combining scheme for interference suppression in WAVE system. Experimental results showed that the proposed scheme achieved significant SINR performance gains of 2 dB in low speed condition and above 0.5 dB in high speed condition, under different channel conditions.
Article
Environmental Sciences
Yihao Wu, Xiufeng He, Jia Huang, Hongkai Shi, Haihong Wang, Yunlong Wu, Yuan Ding
Summary: In this study, the performances of the MOA method were compared with the LS method, indicating that the LS method outperformed the MOA method, especially in coastal regions and ocean current areas.
Article
Construction & Building Technology
Kyungjae Lee, Hyunwoo Lim
Summary: Building energy code updates induce correlations among building parameters, which can affect data analysis. This study investigates the impact of these correlations through sensitivity analysis and Principal Component Analysis (PCA).
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
I. S. B. Ferreira, R. S. Peruchi, N. J. Fernandes, P. Rotella Junior
Summary: This research conducted an experimental study on the measurement system analysis of angle of repose in fertilizers with variable granulometry, proposing a new standard measurement procedure that significantly reduced measurement error from 59.93% to 4.82%.
Article
Energy & Fuels
Gabriel Nasser Doyle de Doile, Paulo Rotella Junior, Priscila Franca Gonzaga Carneiro, Rogerio Santana Peruchi, Luiz Celio Souza Rocha, Karel Janda, Giancarlo Aquila
Summary: Brazil is adjusting regulations on solar energy micro-generation, causing controversy among investors. Studies show that projects remain viable, although the discounted payback time is extended.
Article
Physics, Multidisciplinary
Luiz Celio S. Rocha, Mariana S. Rocha, Paulo Rotella Junior, Giancarlo Aquila, Rogerio S. Peruchi, Karel Janda, Romulo O. Azevedo
Summary: This study successfully optimized the conversion of low-value natural gas into hydrocarbons using CO2-OCM technology through robust multi-objective optimization method, resulting in the identification of optimal parameter combination and optimization results.
Article
Energy & Fuels
Hivila M. P. Marreiro, Rogerio S. Peruchi, Riuzuani M. B. P. Lopes, Silvia L. F. Andersen, Sayonara A. Eliziario, Paulo Rotella Junior
Summary: The study reviews the densification of raw material into fuel briquettes as a way to convert biomass into energy, emphasizing the experimental variables and quality parameters involved. Various process variables like raw material granulometry, pressure, initial moisture, compaction time, and binder were found to be crucial in the production of briquettes, with differences in their impact on the quality variables indicating the need for mathematical modeling.
Article
Green & Sustainable Science & Technology
Cristiano Zenaide Paiva Junior, Fabiana de Carvalho Fim, Williane de Oliveira Silva Soares, Lucineide Balbino da Silva
Summary: In this study, EVA-B/EVA-w composites were prepared using EVA waste and different proportions of EVA-w. The addition of EVA-w improved tear strength properties but also increased shrinkage. Overall, EVA-w acts as a reinforcement filler for EVA-B, showing positive effects on mechanical properties.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Gabriel Nasser Doile de Doyle, Paulo Rotella, Luiz Celio Souza Rocha, Priscila Fransa Gonzaga Carneiro, Rogerio Santana Peruchi, Karel Janda, Giancarlo Aquila
Summary: The study indicates that there is a statistically significant reduction in economic viability for solar DG units when the new regulation proposed is enacted, while the payback period is increased, and other financial indicators are reduced in all analyzed regions. Furthermore, it was confirmed that solar radiation is not the decisive factor in determining the economic viability of solar DG production.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Review
Engineering, Industrial
Williane de Oliveira Silva Soares, Rogerio Santana Peruchi, Romulo Augusto Ventura Silva, Paulo Rotella Junior
Summary: This systematic literature review assesses the state-of-the-art in GR&R studies. The articles are classified based on manufacturing process, measuring instruments, quantities and units, design setup, statistical methods, and acceptability criteria. The main objectives and contributions of each study are highlighted.
QUALITY ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Gabriel Nasser Doyle de Doile, Paulo Rotella Junior, Luiz Celio Souza Rocha, Karel Janda, Giancarlo Aquila, Rogerio Santana Peruchi, Pedro Paulo Balestrassi
Summary: The Brazilian electric energy compensation system ensures that all energy generated and inserted into the grid is returned to prosumers as credits to their energy bill. Proposed regulatory changes may limit compensation to only the energy cost. This study evaluates the economic feasibility of hybrid distributed generation power plants with battery banks, considering the complementarity of wind and solar sources.
Article
Economics
Vinicius B. F. Costa, Rafael S. Capaz, Patricia F. Silva, Gabriel Doyle, Giancarlo Aquila, Eden O. Coelhoa, Eliane de Lorenci, Ligia C. Pereira, Leticia B. Maciel, Pedro P. Balestrassi, Benedito D. Bonatto, Luiz C. da Silva
Summary: This study comprehensively assesses the long-term consequences of a new law in Brazil on regulating on-grid renewable distributed generation. The results show that while the new law successfully reduces tariff increases and social inequality, it has significant negative implications for the distributed generation business, market welfare, and the environment. Implementation of this new law may be premature for most concession areas.
Article
Energy & Fuels
Max Olinto Moreira, Betania Mafra Kaizer, Takaaki Ohishi, Benedito Donizeti Bonatto, Antonio Carlos Zambroni de Souza, Pedro Paulo Balestrassi
Summary: This article proposes a multivariate strategy based on design of experiments, principal component analysis, and artificial neural networks to predict the one-day-ahead photovoltaic (PV) generation. The approach reduces the dimensionality of climate variables using principal component analysis and the possibilities of combining prediction parameters through design of experiments. The mean percentage errors for summer, autumn, winter, and spring are 10.45%, 9.29%, 9.11%, and 6.75%, respectively, based on the testing of 17 generation plants in Brazil.
Article
Energy & Fuels
Gabriel Nasser Doyle de Doile, Pedro Paulo Balestrassi, Miguel Castilla, Antonio Carlos Zambroni de Souza, Jaume Miret
Summary: This paper proposes a tool for tuning the parameters of the secondary consensus control for inverter-based islanded microgrids, aiming to improve energy conversion efficiency. Using experimental design methodology, microgrid parameters can be adjusted efficiently to reach the optimal setting, reducing the time and cost of the trial-and-error process.
Article
Automation & Control Systems
Luiz Gustavo Paes de Souza, Jose Edmilson Martins Gomes, Etory Madrilles Arruda, Gilbert Silva, Anderson Paulo de Paiva, Joao Roberto Ferreira
Summary: This study proposes a robust optimization strategy for roughness optimization in hard turning, considering the trade-off between cutting time and roughness targets along with the variation caused by flank wear. Experimental results demonstrate the effectiveness of the proposed strategy and the ability to explore different solutions to meet varied specifications, preventing the production of non-conforming parts and underutilization of cutting tools.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Review
Engineering, Mechanical
Nathan Bezerra de Oliveira, Rogerio Santana Peruchi, Paulo Rotella Junior, Tarcisio Goncalves de Brito
Summary: This article provides a literature review on the modeling and optimization of steel end milling process using response surface methodology (RSM). The study identifies the main factors, levels, and responses used in experiments, as well as the experimental designs and optimization methods employed. The results reveal that depth of cut, cutting speed, table speed, and feed rate are the main factors influencing the process, while surface roughness, cutting forces, and tool wear are the main responses. The most commonly used experimental design is the central composite design (CCD), followed by the Box-Behnken and Taguchi designs. In terms of optimization, the desirability method is widely used.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2023)
Article
Energy & Fuels
Gabriel Nasser Doyle de Doile, Paulo Rotella, Luiz Celio Souza Rocha, Karel Janda, Rogerio Peruchi, Giancarlo Aquila, Pedro Paulo Balestrassi
Summary: Photovoltaic systems are crucial for decarbonizing electricity production. To increase the amount of photovoltaic energy generation and reduce reliance on the grid, local battery energy storage systems are being considered. However, the profitability of installing a PV system with battery storage depends on the specific context and regulations in place.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Arthur Leandro Guerra Pires, Paulo Rotella Junior, Luiz Celio Souza Rocha, Rogerio Santana Peruchi, Karel Janda, Rafael de Carvalho Miranda
Summary: The present study proposes a multi-objective optimization method for wind and photovoltaic (PV) hybrid generation with battery energy storage, considering a tariff policy issue for the grid-connected residential scenario. The proposed method used Response Surface Methodology (RSM) to model two objective functions, one environmental (Carbon footprint) and the other financial (Net Present Value - NPV) in relation to four controllable variables. The study found that only regions with favorable environmental conditions and higher energy tariffs became financially viable for the proposed model, with NPV values ranging from R$-76,080.94 to R$ 69,675.23. The research suggests the need for incentives mainly related to wind energy and batteries, which are still expensive elements in the national scenario for residential generation, reducing the probability of achieving economic viability.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
