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1. Multivariate statistical monitoring of subway indoor air quality using dynamic concurrent partial least squares

Author:
Liu, Hongbin; Yang, Chong; Huang, Mingzhi; Yoo, ChangKyoo
Source:
Environmental science and pollution research international 2020 v.27 no.4 pp. 4159-4169
ISSN:
0944-1344
Subject:
least squares,   etc   ; air quality; particulates;     Show all 3 Subjects
Abstract:
... To maintain the health level of indoor air quality (IAQ) in subway stations, the data-driven multivariate statistical method concurrent partial least squares (CPLS) has been successfully applied for output-relevant and input-relevant sensor faults detection. To cope with the dynamic problem of IAQ data, the augmented matrices are applied to CPLS (DCPLS) to achieve the better performance. DCPLS met ...
DOI:
10.1007/s11356-019-06935-9

2. Image texture surface analysis using an improved differential box counting based fractal dimension

Author:
Panigrahy, Chinmaya; Seal, Ayan; Mahato, Nihar Kumar
Source:
Powder technology 2020 v.364 pp. 276-299
ISSN:
0032-5910
Subject:
least squares,   etc   ; databases; fractal dimensions; texture;     Show all 4 Subjects
Abstract:
... Surface texture of an image plays an imperative role in understanding objects such as aggregates, woods, grains, soils, trees, and houses. Fractal dimension (FD) helps to characterise these objects by quantifying their complex texture patterns. Differential box counting (DBC) is one of the popularly used methods to measure FD of a gray-scale image. However, it suffers from several limitations. So, ...
DOI:
10.1016/j.powtec.2020.01.053

3. Online simultaneous identification of parameters and order of a fractional order battery model

Author:
Tian, Jinpeng; Xiong, Rui; Shen, Weixiang; Wang, Ju; Yang, Ruixin
Source:
Journal of cleaner production 2020 v.247 pp. 119147
ISSN:
0959-6526
Subject:
least squares,   etc   ; lithium batteries; management systems; models;     Show all 4 Subjects
Abstract:
... Fractional order models have been successfully applied to estimate states and diagnose faults for lithium ion batteries. However, their order has not been identified online, which restricts their applications in battery management systems due to the intuitive nonlinearity of fractional order identification. In this study, a novel online method is proposed to identify the parameters and order of a ...
DOI:
10.1016/j.jclepro.2019.119147

4. Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models

Author:
Zhang, Jun; Lin, Bingqing; Feng, Zhenghui
Source:
Computational statistics & data analysis 2020 v.141 pp. 77-93
ISSN:
0167-9473
Subject:
least squares,   etc   ; calibration; confidence interval; linear models;     Show all 4 Subjects
Abstract:
... In this paper we consider partial linear regression models when all the variables are measured with multiplicative distortion measurement errors. To eliminate the effect caused by the distortion, we propose the conditional absolute mean calibration, which avoids to use the nonzero expectation conditions imposed on the variables. With these calibrated variables, a profile least squares estimator is ...
DOI:
10.1016/j.csda.2019.06.009

5. SO-PLS as an alternative approach for handling multi-dimensionality in modelling different aspects of consumer expectations

Author:
Nguyen, Quoc Cuong; Liland, Kristian Hovde; Tomic, Oliver; Tarrega, Amparo; Varela, Paula; Næs, Tormod
Source:
Food research international 2020 v.133 pp. 109189
ISSN:
0963-9969
Subject:
least squares,   etc   ; consumer attitudes; data collection; portion size; satiety; yogurt;     Show all 6 Subjects
Abstract:
... In the development of sensory and consumer science, data are often collected in several blocks responding to different aspects of consumer experience. Sometimes the task of organizing the data and explaining their relation is non-trivial, especially when considering structural (casual) relationship between data sets. In this sense, PLS path modelling (PLS-PM) has been found as a good tool to model ...
DOI:
10.1016/j.foodres.2020.109189

6. Demand-side policy for emergence and diffusion of eco-innovation: The mediating role of production

Author:
Lee, Hoyoon; Shin, Kiyoon; Lee, Jeong-Dong
Source:
Journal of cleaner production 2020 v.259 pp. 120839
ISSN:
0959-6526
Subject:
least squares,   etc   ; issues and policy; supply balance; sustainable technology; technology;     Show all 5 Subjects
Abstract:
... There might not be enough market demand to foster continuous technological development of eco-innovation in its initial stage due to its low-cost competitiveness. Therefore, demand induced by policy can play an important role for eco-innovation. Existing studies indicate that demand-side policy significantly impacts the development and diffusion of new technologies. However, the mechanism of how d ...
DOI:
10.1016/j.jclepro.2020.120839

7. Students’ green information technology behavior: Beliefs and personality traits

Author:
Dalvi-Esfahani, Mohammad; Alaedini, Zohre; Nilashi, Mehrbakhsh; Samad, Sarminah; Asadi, Shahla; Mohammadi, Majid
Source:
Journal of cleaner production 2020 v.257 pp. 120406
ISSN:
0959-6526
Subject:
least squares,   etc   ; information technology; models; personality; social behavior; students;     Show all 6 Subjects
Abstract:
... Adoption of green information technology (Green IT) as an initiative of pro-environmental behavior is quite sparse among Malaysian students. Due to the need to integrate personality traits in environmental behavioral studies, the current study deriving from the planned behavior theory attempts to investigate the influence of attitudinal factors on students’ pro-ecological behavioral intention to p ...
DOI:
10.1016/j.jclepro.2020.120406

8. Cost estimation for general aviation aircrafts using regression models and variable importance in projection analysis

Author:
Chen, Xiaonan; Huang, Jun; Yi, Mingxu
Source:
Journal of cleaner production 2020 v.256 pp. 120648
ISSN:
0959-6526
Subject:
least squares,   etc   ; aircraft; aviation; case studies; models; prediction; sample size;     Show all 7 Subjects
Abstract:
... Accurately estimating the development cost of general aviation aircraft plays a key role in devising the best strategy for corporates. However, studies on cost estimation for general aviation aircraft are limited. Development cost data of general aviation aircraft are commonly multi-collinear and the sample size is small, which may cause the estimation performance of the developed model to be poor ...
DOI:
10.1016/j.jclepro.2020.120648

9. Two-mode network autoregressive model for large-scale networks

Author:
Huang, Danyang; Wang, Feifei; Zhu, Xuening; Wang, Hansheng
Source:
Journal of econometrics 2020 v.216 no.1 pp. 203-219
ISSN:
0304-4076
Subject:
least squares,   etc   ; autocorrelation; econometric models; economic analysis; economic theory;     Show all 5 Subjects
Abstract:
... A two-mode network refers to a network where the nodes are classified into two distinct types, and edges can only exist between nodes of different types. In analysis of two-mode networks, one important objective is to explore the relationship between responses of two types of nodes. To this end, we propose a network autoregressive model for two-mode networks. Different network autocorrelation coef ...
DOI:
10.1016/j.jeconom.2020.01.014

10. Chemometric decomposition of comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry data employing partial modulation in the negative pulse mode

Author:
Gough, Derrick V.; Schӧneich, Sonia; Synovec, Robert E.
Source:
Talanta 2020 v.210 pp. 120670
ISSN:
0039-9140
Subject:
least squares,   etc   ; chemometrics; comprehensive two-dimensional gas chromatography; mass spectrometry;     Show all 4 Subjects
Abstract:
... Partial modulation in the negative pulse mode was optimized for comprehensive two-dimensional gas chromatography (GC × GC) coupled to time-of-flight mass spectrometry (TOFMS). With partial modulation in the negative pulse mode, a flow of auxiliary carrier gas is applied through a pulse valve to a T-junction joining the first (¹D) and second (²D) dimension columns for nearly all of the modulation p ...
DOI:
10.1016/j.talanta.2019.120670

11. Statistical Analysis of Surface-Enhanced Raman Scattering Enhancement Distributions

Author:
dos Santos, Diego Pereira
Source:
Journal of physical chemistry 2020 v.124 no.12 pp. 6811-6821
ISSN:
1932-7455
Subject:
least squares,   etc   ; Raman spectroscopy; physical chemistry; surface plasmon resonance;     Show all 4 Subjects
Abstract:
... Surface-enhanced Raman scattering (SERS) at low analyte concentrations presents strong intensity fluctuations. In this investigation, such fluctuations were analyzed with multivariate curve resolution by alternating least squares (MCR-ALS). The signal decomposition provided by this multivariate statistical analysis permits a characterization of the populations of hot spots (HSs) in the sample from ...
DOI:
10.1021/acs.jpcc.9b11574

12. Imputation of values above an upper detection limit in compositional data

Author:
Mikšová, D.; Filzmoser, P.; Middleton, M.
Source:
Computers & geosciences 2020 v.136 pp. 104383
ISSN:
0098-3004
Subject:
least squares,   etc   ; algorithms; computer software; computers; data quality; detection limit;     Show all 6 Subjects
Abstract:
... Geochemical data frequently contain censored values. An imputation method for right-censored compositional data is proposed, based on the Tobit model, in order to get a complete and reliable data set. An algorithm is developed and implemented using regressions in an iterative scheme, where the imputed values are updated step-by-step. Optionally, classical least-squares or robust regressions can be ...
DOI:
10.1016/j.cageo.2019.104383

13. Migration-prone and migration-averse places. Path dependence in long-term migration to the US

Author:
Rodríguez-Pose, Andrés; von Berlepsch, Viola
Source:
Applied geography 2020 v.116 pp. 102157
ISSN:
0143-6228
Subject:
least squares,   etc   ; Europeans; Latinos; census data; geography; United States;     Show all 6 Subjects
Abstract:
... Does past migration beget future migration? Do migrants from different backgrounds, origins and ethnicities, and separated by several generations always settle – in a path dependent way – in the same places? Is there a permanent separation between migration-prone and migration-averse areas? This paper examines whether that is the case by looking at the settlement patterns of two very different mig ...
DOI:
10.1016/j.apgeog.2020.102157

14. Object-based incremental registration of terrestrial point clouds in an urban environment

Author:
Ge, Xuming; Hu, Han
Source:
ISPRS journal of photogrammetry and remote sensing 2020 v.161 pp. 218-232
ISSN:
0924-2716
Subject:
least squares,   etc   ; algorithms; cities; data collection; scanners; urban areas;     Show all 6 Subjects
Abstract:
... Registration of terrestrial point clouds is essential for large-scale urban applications. The robustness, accuracy, and runtime are generally given the highest priority in the design of appropriate algorithms. Most approaches that target general scenarios can only fulfill some of these factors, that is, robustness and accuracy come at the cost of increased runtime and vice versa. This paper propos ...
DOI:
10.1016/j.isprsjprs.2020.01.020

15. Organizational and regulatory stakeholder pressures friends or foes to green logistics practices and financial performance: Investigating corporate reputation as a missing link

Author:
Baah, Charles; Jin, Zhihong; Tang, Liang
Source:
Journal of cleaner production 2020 v.247 pp. 119125
ISSN:
0959-6526
Subject:
least squares,   etc   ; environmental sustainability; finance; manufacturing; stakeholders; structural equation modeling;     Show all 6 Subjects
Abstract:
... Exploring ways to protect and promote environmental sustainability have recently become critical to organizations survival due to pressures from diverse stakeholder groups. The aim of this study is to explore the effects of organizational stakeholder pressure and regulatory stakeholder pressure on green logistics practices and financial performance whiles investigating if environmental reputation ...
DOI:
10.1016/j.jclepro.2019.119125

16. Terahertz Time of Flight Spectroscopy as a Coating Thickness Reference Method for Partial Least Squares Near Infrared Spectroscopy Models

Author:
Mohan, Shikhar; Odani, Noritaka; Hossain, Md. Nayeem; Feng, Hanzhou; Li, Yi; Kato, Eiji; Drennen, James K.; Anderson, Carl A.
Source:
Analytical chemistry 2020 v.92 no.5 pp. 3658-3665
ISSN:
1520-6882
Subject:
least squares,   etc   ; coatings; models; monitoring; near-infrared spectroscopy; normal values;     Show all 6 Subjects
Abstract:
... Near infrared spectroscopy (NIRS) is often used during the tablet coating process to assess coating thickness. As the coating process proceeds, the increase and decrease in NIRS signal from both the coating formulation and tablet core has been related to coating thickness. Partial least-squares models are often generated relating NIRS spectra to reference coating thickness measurements for in-line ...
DOI:
10.1021/acs.analchem.9b04750

17. New Approach to Multivariate Standard Addition Based on Multivariate Curve Resolution by Alternating Least-Squares: Application to Voltammetric Data

Author:
Tapia, María A.; Pérez-Ràfols, Clara; Ariño, Cristina; Serrano, Núria; Díaz-Cruz, José Manuel
Source:
Analytical chemistry 2020 v.92 no.4 pp. 3396-3402
ISSN:
1520-6882
Subject:
least squares,   etc   ; catechol; chemical species; hydroquinone; quinones; voltammetry;     Show all 6 Subjects
Abstract:
... A multivariate version of the classical univariate standard addition method is proposed for the analysis of samples generating overlapping signals in the presence of notorious matrix effects. Unlike previous versions based on multivariate calibration by partial least-squares (PLS), the proposed strategy takes advantage of a self-modeling methodology: multivariate curve resolution by alternating le ...
DOI:
10.1021/acs.analchem.9b05477

18. A novel method based on nonparametric regression with a Gaussian kernel algorithm identifies the critical components in CHO media and feed optimization

Author:
Zou, Mao; Zhou, Zi-Wei; Fan, Li; Zhang, Wei-Jian; Zhao, Liang; Liu, Xu-Ping; Wang, Hai-Bin; Tan, Wen-Song
Source:
Journal of industrial microbiology & biotechnology 2020 v.47 no.1 pp. 63-72
ISSN:
1367-5435
Subject:
least squares,   etc   ; algorithms; cell culture; culture media; experimental design; models;     Show all 6 Subjects
Abstract:
... As the composition of animal cell culture medium becomes more complex, the identification of key variables is important for simplifying and guiding the subsequent medium optimization. However, the traditional experimental design methods are impractical and limited in their ability to explore such large feature spaces. Therefore, in this work, we developed a NRGK (nonparametric regression with Gaus ...
DOI:
10.1007/s10295-019-02248-5

19. Comparing partial least squares (PLS) discriminant analysis and sparse PLS discriminant analysis in detecting and mapping Solanum mauritianum in commercial forest plantations using image texture

Author:
Lottering, Romano Trent; Govender, Mackyla; Peerbhay, Kabir; Lottering, Shenelle
Source:
ISPRS journal of photogrammetry and remote sensing 2020 v.159 pp. 271-280
ISSN:
0924-2716
Subject:
least squares,   etc   ; Solanum mauritianum; discriminant analysis; forest plantations; models;     Show all 5 Subjects
Abstract:
... Solanum mauritianum is a highly destructive and resourceful plant invader, resulting in severe economic and ecological damage. Detecting and mapping the spatial distribution of S. mauritianum is a priority for effective management of commercial forest plantations. Therefore, image texture computed from a 2 m WorldView-2 image with sparse partial least squares discriminant analysis (SPLS-DA) and pa ...
DOI:
10.1016/j.isprsjprs.2019.11.019

20. Soft - sensing modeling based on ABC - MLSSVM inversion for marine low - temperature alkaline protease MP fermentation process

Author:
Wang, Bo; Yu, Meifang; Zhu, Xianglin; Zhu, Li
Source:
BMC biotechnology 2020 v.20 no.1 pp. 9
ISSN:
1472-6750
Subject:
least squares,   etc   ; batch fermentation; models; prediction; proteinases; support vector machines; temperature;     Show all 7 Subjects
Abstract:
... BACKGROUND: Aiming at the characteristics of nonlinear, multi-parameter, strong coupling and difficulty in direct on-line measurement of key biological parameters of marine low-temperature protease fermentation process, a soft-sensing modeling method based on artificial bee colony (ABC) and multiple least squares support vector machine (MLSSVM) inversion for marine protease fermentation process is ...
DOI:
10.1186/s12896-020-0603-x
PubMed:
32070325
PubMed Central:
PMC7029510