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How different spatial resolutions of digital models affects the geospatial distribution evaluation of the Index of Connectivity

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Journal of South American Earth Sciences 2025年 163卷

作者： Eberval Marchioro Geraldo André Rosseto Barreto Ialy Gomes Ferreira Adelsom Soares Filho Diogo Costa Buarque Department of Geography (DGEO) Graduate Program in Geography (PPGG) Federal University of Espírito Santo/Brazil (UFES) Coordinator of the Laboratory for Monitoring and Modeling Environmental Systems (Lamosa) Brazil Graduate Program in Management and Regulation of Water Resources (ProfÁgua/UFES) Brazil Graduate Program in Geography at UFES Brazil Graduate Program in Civil Engineering at UFV Brazil Department of Geography Graduate Program in Geography Federal University of Grande Dourados (UFGD) Brazil Department of Environmental Engineering Graduate Program in Environmental Engineering (PPGEA) Professional Master's in Water Resources Management and Regulation (ProfÁgua/UFES) Federal University of Espírito Santo/Brazil (UFES) Brazil

Digital Terrain Models (DTM) and Digital Elevation Models (DEM) are important for obtaining the Index of Connectivity, as they provide valuable information to assess the possibility of sediments reaching the riverbed in watershed basins. This is crucial for proactive management, as it allows the adoption of preventive and mitigating measures. Therefore, this study aims to analyze the effect of the spatial resolution of DEMs with resolutions of 5 m and 2 m, and between the DTM and DEM at 2 m, in determining the Index of Connectivity (IC). Additionally, it was investigated whether it is possible to use only one spatial resolution of digital models to assess the geospatial distribution of IC for all hydrogeomorphological landscapes of the Duas Bocas River watershed, located in the Metropolitan Region of Greater Vitória, in the state of Espírito Santo, Southeast Brazil. For this study, the Borselli Index of Connectivity model (et al., 2008) was used, originally developed for rural areas of Italy and widely applied in different regions worldwide. The data used, including Digital Elevation and Terrain Models and land use and cover information, were obtained from the Integrated Geospatial Base System of the State of Espírito Santo (Brazil), which is publicly *** results indicate that a better geospatial representation of IC occurs when changing the spatial resolution of DEMs from a 5 m pixel to a 2 m pixel and when using the 2 m DTM instead of the 2 m DEM. When analyzing the relationship between IC and the hydrogeomorphological landscapes in the basin, it was observed that, in the absence of models with an even finer pixel resolution, the 2 m DTM is the most suitable option, as it presented IC values consistent within and between landscapes in the Escalated Terraces of Southern Espírito Santo, Coastal Hills and Massifs, and Coastal Plateaus sectors. The exception was the fluvio-lagoon plain, which requires an even finer pixel resolution, necessitating further st

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Applying linguistic criteria in FMS selection: Fuzzy-set-AHP approach

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Integrated Manufacturing systems 2003年第3期14卷 247-254页

作者： Shamsuzzaman, M. Sharif Ullah, A.M.M. Bohez, Erik L.J. Bangladesh Institute of Technology Dhaka Bangladesh Indust. Systems Engineering Program School of Advanced Technologies Asian Institute of Technology Luang Thailand

This paper presents a computational framework that combines both fuzzy sets and analytical hierarchy process (AHP) for selecting the best-ranked flexible manufacturing system from a number of feasible alternatives. Fuzzy sets are employed to recognize the selection criteria as linguistic variables rather than numerical ones, which, in turn, makes the framework quite user-friendly. AHP is used to determine the due weight of the selection criteria, in accordance with their relative importance. In total, 14 criteria are considered, grouping them into flexibility, cost, productivity, and risk. The criteria under the first three groups are independent (i.e. their own fuzzy sets evaluate them) and the criteria under risk are indirectly evaluated by using the fuzzy sets of the criteria under flexibility. The proposed framework is implemented by developing an expert system called FmsExpert, using Borland C++. The performance of this system is also demonstrated by using an example.

关键词： Flexible manufacturing systems

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A family of hierarchical models for the design of deterministic assembly systems

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 1997年第1期35卷 253-280页

作者： Pinnoi, A Wilhelm, WE Industrial Systems Engineering Program School of Advanced Technologies Asian Institute of Technology Patumtani 12120 Thailand Department of Industrial Engineering Texas A&M University College Station Texas 77843-3131 USA

The purpose of this paper is to propose a family of hierarchical models which incorporate a broad range of features that represent many aspects that are fundamental to deterministic assembly system design problems. The family consists of a set of models that incorporate successively more advanced features so that components representing the more simple cases appear as imbedded structures in the models for more complex cases. The ultimate goal is to develop models that can be exploited, for example by strong cutting plane methods, to resolve assembly system design problems. Cutting plane methods have achieved noteworthy successes in resolving other integer programs and offer the promise of providing a capability to resolve a broad variety of assembly system design problems. Polytopes associated with imbedded structures can be studied and resulting valid inequalities can also be used in solving the more complex, practical cases. This paper is a means of initiating research in this important direction.

关键词： INTEGER programming MATHEMATICAL programming DYNAMIC programming LINEAR programming systems design

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Constrained neural classifier training method for flaw detection in industrial pipes using particle swarm optimisation

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International Journal of Innovative Computing and Applications 2022年第3期13卷 150-160页

作者： da Silva, Gilvan Farias de Souza, Edmar E.P. de Simas Filho, Eduardo F. Farias, Paulo C.M.A. Albuquerque, Maria C.S. da Silva, Ivan Costa Farias, Cláudia T.T. Digital Systems Laboratory Electrical Engineering Program Federal University of Bahia BA Salvador Brazil Federal Institute of Bahia BA Salvador Brazil

A novel method for constrained training of multi-class artificial neural network classifiers is proposed in this work. The traditional training procedure is usually based on mean square error minimisation and thus, all classes of interest are considered as having the same relevance for system performance. This is not always the case for real-world applications in which the class relevance may be unbalanced. In this paper, cost functions designed to introduce classification performance constraints for specific classes are presented and particle swarm optimisation is used as global optimisation method. The proposed method is applied to a non-destructive evaluation decision support problem using pulsed eddy currents signals. Experimental results obtained from thermally insulated industrial pipes indicate the efficiency of the proposed method in comparison to neural networks trained from the traditional back-propagation algorithm. © 2022 Inderscience Enterprises Ltd.

关键词： Neural networks

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Application of the K-Medoids Clustering Model and Borda Decision Group in Viewing Flood Area Groupings in North Aceh Regency

Application of the K-Medoids Clustering Model and Borda Deci...

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2023 International Workshop on Artificial Intelligence and Image Processing, IWAIIP 2023

作者： Fuadi, Wahyu Sahputra, Ilham Fariadi, Dedi Agustinar Universitas Malikussaleh Informatics Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Information Systems Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Electrical Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia

ISBN: (纸本)9798350382914

The importance of the K-Medoid model in viewing disaster-prone areas in each sub-district in North Aceh. The advantage of the k-medoid model results is that it has better cluster centers than other models. The novelty of this research is the cluster results are assessed by each decision maker using the Borda group model in providing flood disaster assistance or areas that are a priority for handling, which are included in the flood-prone cluster. Therefore, this research is important because it can be used to identify areas most severely affected by flooding. This research aims to analyze and identify the impact of flood hazards based on grouping and decision-making using the Borda group model in each sub-district in North Aceh. The results of the k-medoids model show 3 clusters that can see potential areas for flood disasters, namely very vulnerable. There are six sub-districts. For the k-medoids results, ten sub-districts are vulnerable. Lastly, the safe zones are 11 sub-districts. This research's k-medoid model analysis is more precise in seeing clusters of places that are potentially affected by flooding based on spatial maps of their nearest neighboring areas. The percentage of each cluster is as follows: Cluster 1 is 4%, Cluster 2 is 55%, and Cluster 3 is 41%. The k-medoid model provided this result after three iterations, with a closeness difference of 1.594510537. The results of the Borda model group research can be used as a recommendation for the areas that receive the highest priority in disaster management. © 2023 IEEE.

关键词： Floods

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Pre-treatment optimization to reduce membrane fouling during produced water treatment with an integrated FO-MD system

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Science Talks 2025年 14卷

作者： Muhammad Saqib Nawaz Sofiane Soukane Muhammad Bilal Asif Veerabhadraiah Gudideni Sultan Alrubaish Noreddine Ghaffour Environmental Sciences and Engineering Program Division of Biological and Environmental Sciences and Engineering (BESE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Physical Sciences and Engineering Division (PSE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Energy Systems Division Process & Control Systems Department Saudi Aramco Dhahran Saudi Arabia

During oil exploration, fresh water that is injected into underground reservoirs returns to the surface loaded with hydrocarbons, salts, and other contaminants. This complex solution is typically known as produced water (PW). Generally, different PW streams are generated at a given site, which, after suitable treatment, are sent for re-injection for enhanced oil recovery or to disposal wells. However, there is a potential for water recovery from this hypersaline contaminated stream. Forward osmosis (FO) and membrane distillation (MD) are two low-pressure membrane treatment technologies successfully used in a single hybrid system for PW treatment. During operation, the key foulants on the FO membrane were CaSiO 3 , CaSO 4 , and NaCl, while for MD, they were SiO 2 and CaSO 4 plus emulsified oil, causing pore clogging. Some foulants were tightly bound and not removed by osmotic backwashing or hydraulic flushing, thus requiring pre-treatment. Different pre-treatment techniques, like ion exchange resins and polymeric and ceramic membrane-based ultrafiltration (UF), were assessed in this study. The resins were able to remove bivalent metallic ions successfully from lower concentration streams only and thus caused an increase in FO flux and a reduction in MD flux by disturbing the FO-MD system equilibrium. The higher concentrations of resins and chemicals required for their regeneration make them unsuitable for such applications. On the contrary, PW pre-treated with polymeric and ceramic UF membranes led to increased FO and MD fluxes without any chemical requirement and proved suitable for pre-treatment.

关键词： Pre-treatment Produced water Ion-exchange resins Ultrafiltration Forward osmosis Membrane distillation

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Preliminary feasibility of mindfulness in motion to improve physiological biomarkers of wellbeing in healthcare providers during dayshift hours

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Discover Public Health 2025年第1期22卷 1-11页

作者： Merrigan, Justin J. Klatt, Maryanna Quatman-Yates, Catherine Emerson, Angela Kronenberg, Jamie Orr, Morgan Caputo, Jacqueline Daniel, Kayla Duchemin, Anne-Marie Steinberg, Beth Hagen, Joshua A. Human Performance Collaborative Office of Research The Ohio State University Columbus USA Center for Integrative Health Department of Family and Community Medicine College of Medicine The Ohio State University Columbus USA Gabbe Health and Wellbeing The Ohio State University Wexner Medical Center The Ohio State University Columbus USA School of Health and Rehabilitation Sciences Division of Physical Therapy The Ohio State University Columbus USA Stress Trauma and Resilience Program Department of Psychiatry College of Medicine The Ohio State University Columbus USA Department of Integrated Systems Engineering The Ohio State University Columbus USA

Mindfulness in Motion (MIM) can improve stress, resiliency, and burnout in healthcare providers but physiological outcomes are unknown. Thus, this study evaluated the effects of MIM on respiration rate (RR), heart rate (HR), and heart rate variability (HRV). Nineteen healthcare providers wore chest strap electrocardiography (ECG) devices and remained still and seated while data were recorded for 5 min prior to (MIM-Start) and after completing (MIM-End) each of the 8 weekly MIM sessions. Metrics included: HR, RR, root-mean square of successive differences between R–R intervals (RMSSD), standard deviation of R–R intervals (SDNN), absolute low frequency power (LF), and absolute high frequency power (HF). At MIM-End, average SDNN (47.8 ± 26.6 vs. 38.2 ± 16.7 ms) and LF Power (2375 ± 3306 vs. 906 ± 1272 ms2) were greater and RR was slower (11.9 ± 3.0 v. 13.9 ± 3.0 bpm) than MIM-Start (p < 0.05). The Connor-Davidson Resilience Scale increased from Week-1 (27.7 ± 4.8) to Week-8 (31.5 ± 4.8, p < 0.001). Compared to Week-1, HR was slower and RMSSD was greater during weeks 2, 3, and 4. There were increases in SDNN and LF, as well as decreases in RR, HF Power, and LF/HF Ratio at MIM-Start for some later weeks compared to MIM-Start at Week-1 (p < 0.05). For healthcare workers in normal work hours, respiration rates were slower and HRV improved but HRV frequency metrics could suggest slight physiological arousal at the end of MIM sessions. These results should be taken with caution, but MIM improved physiological biomarkers of stress at the start of some of the 8 weekly sessions.

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ADISSA - ARCHITECTURAL DESIGN OF INFORMATION-systems BASED ON STRUCTURED ANALYSIS

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INFORMATION systems 1988年第2期13卷 193-210页

作者： SHOVAL, P Computer and Information Systems Program Department of Industrial Engineering and Management Ben-Gurion University of the Negev P.O. Box 653 Beer Sheva 84105 Israel

ADISSA is a methodology for Architectural Design of Information systems and Software, based on Structured Analysis. The architectural design includes: 1. (a) design of a tree-structured menu system, which interfaces between the users and the system—viewed as the “external architecture” of the system; and 2. (b) design of the transactions of the system, composed of various functions which are activated in response to user needs and various events in the universe of discourse—viewed as the “internal architecture” of the system. The menu tree and the transactions are tied up with the other major components of the system architecture: the inputs and outputs, and the database. ADISSA methodology is fully compatible and consistent with Structured Analysis, and therefore the stages of system analysis and design are integrated into one complete process.

关键词： Architectural design data flow diagram development methods software engineering structured analysis and design transactions user interface

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Grapenet_Lv1 for the Prediction of Optimum Hand-Picking Time of Nagano Purple Grapes

SSRN

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SSRN 2025年

作者： Islam, Md. Parvez Shinagawa, K. Hatou, K. Abdurrakhman, Arief Dian, K. Department of Biomechanical Systems Faculty of Agriculture Ehime University 3-5-7 Tarumi Matsuyama790-8566 Japan United Graduate School of Agriculture Ehime University 3-5-7 Tarumi Matsuyama790-8566 Japan Department of Instrumentation Engineering Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Business Mathematics Program Study School of Applied STEM Universitas Prasetiya Mulya BSD Campus BSD City Kav. Edutown I.1 Tangerang15339 Indonesia Indonesia

We investigated the optimum hand-picking time of Nagano Purple, a rare Japanese table grape variety. The color sensitivity between pure red–purple–black and pure purple–black makes it difficult for farmers to harvest these fruits at the right time while maintaining high sweetness level. We manually extracted 13 color parameters, namely, X, Y, Z, x, y, L*, a*, b*, L, a, b, C*, and h, from 355 grape skin samples using a colorimeter, which is a time-consuming and expensive process. In addition, we developed a 15-layer shallow long short-term memory (LSTM) and bidirectional long short-term memory (BLSTM) neural network, namely, GrapeNet_Lv1, with a learnable parameter of 1.39E+06. This network is compact and requires low computational cost for training. Furthermore, it has the ability to prevent the problems of vanishing gradient and overfitting. The combination of all the 13 aforementioned parameters yielded promising results in predicting color and sweetness levels, with test accuracies of 0.83 and 0.76, respectively. In the prediction of color level, our proposed network GrapeNet_Lv1 achieves a high validation accuracy of 0.92, F1 score of 0.88, recall of 0.87, low validation loss of 0.39, and RMSE of 0.31. However, in the prediction of sweetness level, GrapeNet_Lv1 achieves a relatively low validation accuracy of 0.79, F1 score of 0.70, recall of 0.69, high validation loss of 0.72, and RMSE of 0.33. Further research can help improve the accuracy. GrapeNet_Lv1 can be applied to other crops, where, predicting the whose optimal hand-picking time is difficult to predict based on color recognition. Keywords: Neural network;LSTM-BLSTM;Nagano Purple, color, sweetness © 2025, The Authors. All rights reserved.

关键词： Long short-term memory

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Influence of road environmental elements on pedestrian and cyclist road crossing behaviour

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SICE Journal of Control, Measurement, and System Integration 2021年第2期14卷 50-58页

作者： Saito, Yuichi Kochi, Fuma Itoh, Makoto Fushima, Takesato Sugano, Takashi Yamamoto, Yasunori Faculty of Engineering Information and Systems University of Tsukuba Tsukuba Japan Master's Program in Risk and Resilience Engineering University of Tsukuba Tsukuba Japan Mazda Motor Corporation Hiroshima Japan

The pedestrian and cyclist-related accident fatality rate is higher than that of other traffic accidents. One of the pedestrian behaviours that leads to traffic accidents is the act of moving rapidly onto the road from a blind spot without warning. Expert drivers practice hazard-anticipatory driving and will naturally seek to reduce uncertainty by attempting to fit their current driving context into a pre-existing category. Risk management is the process of identifying hazards and assessing and controlling risks to attain safety. The purpose of this study was to evaluate the influence that driving context-altering road environmental elements exert on the road-crossing behaviour of pedestrians and cyclists. Thus, this study attempted to identify covert hazards (obscured pedestrians and cyclists). A logistic regression analysis was employed along with data from the near-miss incident database, in which approximately 140,000 near-crash-relevant events were registered in 2017. By using the logistic regression analysis along with the annotations recorded in the database, we constructed a predictive model to identify covert hazards. The study demonstrated the feasibility of using a set of environmental elements that shape the driving context to construct a predictive model that identifies covert hazards. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Database systems

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