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1. A new structure of decision tree based on oriented edges gradient map for circles detection and the analysis of nano-particles

Author:
Akrout, Belhassen
Source:
Micron 2021 v.145 pp. 103055
ISSN:
0968-4328
Subject:
decision support systems,   etc   ; algorithms; geometry;     Show all 3 Subjects
Abstract:
... In this paper, we propose a new approach to detect circles and nano-particles based on an oriented-edges gradient map and a decision tree. The decision tree is calculated from geometric constraints based on particular right triangles inscribed in a circle. Use of the proposed accumulator and dynamic storage matrix radii shows the robustness of our algorithm in terms of results and execution time. ...
DOI:
10.1016/j.micron.2021.103055

2. A user-friendly decision support tool to assist one-health risk assessors

Author:
Dewar, Rob; Gavin, Christine; McCarthy, Catherine; Taylor, Rachel A.; Cook, Charlotte; Simons, Robin R.L.
Source:
One health 2021 v.13 pp. 100266
ISSN:
2352-7714
Subject:
decision support systems,   etc   ; risk; risk assessment;     Show all 3 Subjects
Abstract:
... One-Health risk assessments are integral to developing efficient responses to disease threats, including global pandemics. However, short timeframes, inadequate disease-specific information and an insufficient skill-base make it hard for inexperienced assessors to distinguish between a large portfolio of approaches. The wrong choice can detract from the disease response. Here, we present an intera ...
DOI:
10.1016/j.onehlt.2021.100266

3. Feature assessment frameworks to evaluate reduced-order grey-box building energy models

Author:
Shamsi, Mohammad Haris; Ali, Usman; Mangina, Eleni; O’Donnell, James
Source:
Applied energy 2021 v.298 pp. 117174
ISSN:
0306-2619
Subject:
decision support systems,   etc   ; energy; heat; models;     Show all 4 Subjects
Abstract:
... With a drive towards achieving an integrated energy system, there is a need for holistic and scalable building modelling approaches for the commercial building stock. Existing grey-box modelling approaches often fail to produce a generalised network structure, which limits the suitability of models for different applications. Furthermore, existing feature assessment frameworks provide limited oppo ...
DOI:
10.1016/j.apenergy.2021.117174

4. The response of sleeping adults to smoke alarm signals in the Evacuation Decision Model

Author:
Spearpoint, M.; Lovreglio, R.; Gwynne, S.
Source:
Fire safety journal 2021 v.123 pp. 103379
ISSN:
0379-7112
Subject:
decision support systems,   etc   ; fire safety; New Zealand;     Show all 3 Subjects
Abstract:
... Simulating evacuation behaviour in fire emergencies is an increasingly important method for assessing design to mitigate the likelihood of life losses. To date, several approaches have been used to predict the pre-evacuation time (i.e. time between the first alarm or other initial cue until the moment an evacuee starts moving toward a safe place) using distribution functions or evacuation decision ...
DOI:
10.1016/j.firesaf.2021.103379

5. Supporting integrative maritime spatial planning by operationalising SEANERGY – a tool to study cross-sectoral synergies and conflicts

Author:
Bonnevie, Ida Maria; Hansen, Henning Sten; Schrøder, Lise
Source:
International journal of digital earth 2021 v.14 no.6 pp. 678-695
ISSN:
1753-8955
Subject:
decision support systems,   etc   ; humans; Baltic Sea;     Show all 3 Subjects
Abstract:
... With growing pressures on marine ecosystems and on marine space, an increasingly needed strategy to optimise the use of marine space is to co-locate synergic marine human uses in close spatial–temporal proximity while separating conflicting marine human uses. The ArcMap toolbox SEANERGY is a new, cross-sectoral spatial decision support tool (DST) that enables maritime spatial planners to consider ...
DOI:
10.1080/17538947.2020.1865467

6. Data mining approaches to understanding the formation of secondary organic aerosol

Author:
Olson, David A.; Offenberg, John H.; Lewandowski, Michael; Kleindienst, Tadeusz E.; Docherty, Kenneth S.; Jaoui, Mohammed; Krug, Jonathan; Riedel, Theran P.
Source:
Atmospheric environment 2021 v.252 pp. 118345
ISSN:
1352-2310
Subject:
decision support systems,   etc   ; aerosols; environment; nitrogen; oxidation;     Show all 5 Subjects
Abstract:
... This research used data mining approaches to better understand factors affecting the formation of secondary organic aerosol (SOA). Although numerous laboratory and computational studies have been completed on SOA formation, it is still challenging to determine factors that most influence SOA formation. Experimental data were based on previous work described by Offenberg et al. (2017), where volume ...
DOI:
10.1016/j.atmosenv.2021.118345

7. A Multiple Remote Sensing Sensor Fusion System Using Choquet Fuzzy Integral and Modified Particle Swarm Optimization (FI-MPSO)

Author:
Bigdeli, Behnaz; Pahlavani, Parham; Amirkolaee, Hamed Amini
Source:
Journal of the Indian Society of Remote Sensing 2021 v.49 no.2 pp. 405-418
ISSN:
0255-660X
Subject:
decision support systems,   etc   ; algorithms; land cover; Quebec;     Show all 4 Subjects
Abstract:
... The simultaneous use of remote sensing sensors has been of great interest due to reasons such as the weaknesses of each sensor individually and the improvement in results by integrating multisensor information. In this context, decision fusion of multiremote sensing sensors is one of the hot research topics for improvement in land cover classification. This paper investigates a multisensor fusion ...
DOI:
10.1007/s12524-020-01223-3

8. Problem of data imbalance in building energy load prediction: Concept, influence, and solution

Author:
Zhang, Chaobo; Li, Junyang; Zhao, Yang; Li, Tingting; Chen, Qi; Zhang, Xuejun; Qiu, Weikang
Source:
Applied energy 2021 v.297 pp. 117139
ISSN:
0306-2619
Subject:
decision support systems,   etc   ; algorithms; energy; prediction; regression analysis;     Show all 5 Subjects
Abstract:
... Building energy systems work under wide-scale operation conditions. The available data from some conditions might be far less than the data from the other conditions seriously. This is the so-called data imbalance problem, that is, the volumes of data are different for various conditions. This problem is always ignored in the field of building energy load prediction. Three questions remain unclear ...
DOI:
10.1016/j.apenergy.2021.117139

9. A low-complexity decision model for home energy management systems

Author:
Salgado, Marcelo; Negrete-Pincetic, Matias; Lorca, Álvaro; Olivares, Daniel
Source:
Applied energy 2021 v.294 pp. 116985
ISSN:
0306-2619
Subject:
decision support systems,   etc   ; algorithms; energy; management systems; models;     Show all 5 Subjects
Abstract:
... A low-complexity decision model for a Home Energy Management System is proposed to follow demand trajectory sets received from a Demand Side Response aggregator. This model is designed to reduce its computational complexity and being solved by low performance processors using available Single-Board Computers as a proof of concept. To decrease the computational complexity is proposed a two-stage mo ...
DOI:
10.1016/j.apenergy.2021.116985

10. A hybrid fuzzy BWM-VIKOR MCDM to evaluate the service level of bike-sharing companies: A case study from Chengdu, China

Author:
Liang, Xuedong; Chen, Ting; Ye, Meng; Lin, Huirong; Li, Zhi
Source:
Journal of cleaner production 2021 v.298 pp. 126759
ISSN:
0959-6526
Subject:
decision support systems,   etc   ; bicycling; business enterprises; case studies; markets; China;     Show all 6 Subjects
Abstract:
... Bike-sharing is being widely used in many cities in China and gradually penetrated people’s daily habits. However, because there are so many bicycle providers in the market, companies need to develop differentiated service strategies to compete in this homogenized market. Therefore, this paper examined the current bike-sharing enterprise service level in Chengdu, constructed a evaluation index sys ...
DOI:
10.1016/j.jclepro.2021.126759

11. A Progressive and Combined Building Simplification Approach with Local Structure Classification and Backtracking Strategy

Author:
Wei, Zhiwei; Liu, Yang; Cheng, Lu; Ding, Su
Source:
ISPRS international journal of geo-information 2021 v.10 no.5
ISSN:
2220-9964
Subject:
decision support systems,   etc   ; algorithms; data collection; spatial data; surveys;     Show all 5 Subjects
Abstract:
... Several algorithms have been developed to simplify buildings based on their local structure in past decades. However, different local structures are defined for certain purposes, and no algorithm can appropriately simplify all buildings. We propose a combined building simplification approach based on local structure classification and backtracking strategy. In this approach, local structures are c ...
DOI:
10.3390/ijgi10050302

12. A decision support tool for climate-informed and socioeconomic urban design

Author:
Nevat, Ido; Pignatta, Gloria; Ruefenacht, Lea A.; Acero, Juan Angel
Source:
Environment, development and sustainability 2021 v.23 no.5 pp. 7627-7651
ISSN:
1387-585X
Subject:
decision support systems,   etc   ; Singapore; environment; risk; system optimization;     Show all 5 Subjects
Abstract:
... We develop a novel statistical decision-theoretic framework for urban design from an outdoor thermal comfort (OTC), social and economic perspectives. We combine those aspects into spatio-temporal risk measures which provide a compact representation of the overall quality of an urban design scenarios (UDS) set. We then formulate the selection of the optimal design as an optimization problem which i ...
DOI:
10.1007/s10668-020-00937-1

13. Improving averted loss estimates for better biodiversity outcomes from offset exchanges

Author:
Maseyk, Fleur J. F.; Maron, Martine; Gordon, Ascelin; Bull, Joseph W.; Evans, Megan C.
Source:
Oryx 2021 v.55 no.3 pp. 393-403
ISSN:
1365-3008
Subject:
decision support systems,   etc   ; Oryx; biodiversity; issues and policy; risk;     Show all 5 Subjects
Abstract:
... Biodiversity offsetting aims to achieve at least no net loss of biodiversity by fully compensating for residual development-induced biodiversity losses after the mitigation hierarchy (avoid, minimize, remediate) has been applied. Actions used to generate offsets can include securing site protection, or maintaining or enhancing the condition of targeted biodiversity at an offset site. Protection an ...
DOI:
10.1017/S0030605319000528

14. Evaluation Model of Remote Sensing Satellites Cooperative Observation Capability

Author:
Zheng, Zhonggang; Li, Qingmei; Fu, Kun
Source:
Remote Sensing 2021 v.13 no.9
ISSN:
2072-4292
Subject:
decision support systems,   etc   ; models; quantitative analysis; satellites; China;     Show all 5 Subjects
Abstract:
... This paper proposed a new remote sensing observation capability evaluation model (RSOCE) based on analytic hierarchy process to quantitatively evaluate the capability of multi-satellite cooperative remote sensing observation. The analytic hierarchical process model is a combination of qualitative and quantitative analysis of systematic decision analysis method. According to the objective of the re ...
DOI:
10.3390/rs13091717

15. A decision-support system to assist forest industry planning and investment when data are scarce: the case of hardwood veneering in subtropical eastern Australia

Author:
Venn, T. J.; McGavin, R. L.
Source:
Australian forestry 2021 v.84 no.2 pp. 59-72
ISSN:
2325-6087
Subject:
decision support systems,   etc   ; forest industries; forestry; hardwood; mathematical models; Australia;     Show all 6 Subjects
Abstract:
... An aspatial mathematical model has been developed to simultaneously support log processing investment decisions with respect to processing scale, facility location and log procurement when data are scarce. A key design principle was to make the model suitable for use by industry. The objective function maximises gross margins per hour of log processing time, and the model accounts for potential pr ...
DOI:
10.1080/00049158.2020.1836453

16. Urban Air Pollution Mapping Using Fleet Vehicles as Mobile Monitors and Machine Learning

Author:
Zhao, Bu; Yu, Long; Wang, Chunyan; Shuai, Chenyang; Zhu, Ji; Qu, Shen; Taiebat, Morteza; Xu, Ming
Source:
Environmental science & technology 2021 v.55 no.8 pp. 5579-5588
ISSN:
1520-5851
Subject:
decision support systems,   etc   ; air pollution; air quality; models; particulates; China;     Show all 6 Subjects
Abstract:
... Spatially explicit urban air quality information is important for developing effective air quality control measures. Traditionally, urban air quality is measured by networks of stationary monitors that are not universally available and sparsely sited. Mobile air quality monitoring using equipped vehicles is a promising alternative but has focused on vehicle-level experiments and lacks fleet-level ...
DOI:
10.1021/acs.est.0c08034

17. Estimating public health and economic benefits along 10 years of Fluzone® High Dose in the United States

Author:
Net, Pierre; Colrat, Florian; Nascimento Costa, Mafalda; Bianic, Florence; Thommes, Edward; Alvarez, Fabián P.
Source:
Vaccine 2021 v.39 pp. A56
ISSN:
0264-410X
Subject:
decision support systems,   etc   ; elderly; influenza; landscapes; models; public health;     Show all 6 Subjects
Abstract:
... The objective of this study was to estimate the public health and economic benefits (from a Medicare perspective) of Fluzone High-Dose® in the US elderly population, since its introduction in 2010.A budget impact model was developed using a decision tree framework and applied over 9 influenza seasons (2010/11 to 2018/19). The decision tree model was designed to capture influenza cases, hospitaliza ...
DOI:
10.1016/j.vaccine.2021.01.016

18. Binary Classifier for Computing Posterior Error Probabilities in MetaMorpheus

Author:
Shortreed, Michael R.; Millikin, Robert J.; Liu, Lei; Rolfs, Zach; Miller, Rachel M.; Schaffer, Leah V.; Frey, Brian L.; Smith, Lloyd M.
Source:
Journal of proteome research 2021 v.20 no.4 pp. 1997-2004
ISSN:
1535-3907
Subject:
decision support systems,   etc   ; computer software; digestion; peptides; proteome; research; uncertainty;     Show all 7 Subjects
Abstract:
... MetaMorpheus is a free, open-source software program for the identification of peptides and proteoforms from data-dependent acquisition tandem MS experiments. There is inherent uncertainty in these assignments for several reasons, including the limited overlap between experimental and theoretical peaks, the m/z uncertainty, and noise peaks or peaks from coisolated peptides that produce false match ...
DOI:
10.1021/acs.jproteome.0c00838

19. Connectivity metrics for conservation planning and monitoring

Author:
Keeley, Annika T.H.; Beier, Paul; Jenness, Jeff S.
Source:
Biological conservation 2021 v.255 pp. 109008
ISSN:
0006-3207
Subject:
decision support systems,   etc   ; biodiversity; climate change; humans; landscapes;     Show all 5 Subjects
Abstract:
... Conservation plans increasingly include goals to maintain a connected network. For example, planners might design a linkage between two conserved areas, or the parties to the Convention on Biological Diversity might set targets for a well-connected system of protected areas for each nation. Here we describe 35 metrics that can quantify connectivity of focal patches or of networks and monitor chang ...
DOI:
10.1016/j.biocon.2021.109008

20. Framing territorial regeneration decisions: Purpose, perspective and scope

Author:
Ferretti, V.
Source:
Land use policy 2021 v.102 pp. 105279
ISSN:
0264-8377
Subject:
decision support systems,   etc   ; land policy; spatial data; stakeholders; Italy;     Show all 5 Subjects
Abstract:
... Territorial planning has been recognized as an inherently wicked problem situation or ill-defined problem, with also an intrinsic spatial nature (i.e. a non-homogeneous spatial distribution of territorial characteristics, impacts associated to alternative solutions and stakeholders).The first and most important phase of any planning and decision making process consists in framing the project/decis ...
DOI:
10.1016/j.landusepol.2021.105279