Modeling Software Applications Research Articles

Information and software for modeling hydrological basins of rivers in the Ukrainian Carpathians

This study addresses the information and software tools used for modeling hydrological basins in the Ukrainian Carpathians, a region distinguished by its complex terrain and diverse ecosystems. The research focuses on a variety of hydrological modeling software, including HEC-HMS, SWAT, and GIS applications, which facilitate the analysis of hydrological processes and the assessment of river runoff dynamics. Furthermore, the integration of meteorological data and land use information is discussed to enhance the accuracy of hydrological models. The results highlight the significance of using advanced software for understanding the impacts of climate change, land use changes, and human activities on water resources in the region. This research aims to provide a framework for sustainable water resource management and contribute to the conservation of aquatic ecosystems in the Ukrainian Carpathians.

A Review Article on Analysis and Design of Water Distribution Network for Jabalpur antonment Board Area

The provision of a reliable and efficient water distribution system is fundamental for ensuring adequate water supply to urban areas. This review article aims to analyze and evaluate the design aspects, hydraulic performance, and challenges related to the water distribution network in the Jabalpur Cantonment Board Area. The study comprehensively examines the current state of the water distribution system, evaluates its operational efficiency, and proposes recommendations for enhancing its performance and sustainability.The review commences by providing an overview of the Jabalpur Cantonment Board Area, highlighting the demographic, geographic, and infrastructural aspects relevant to the water distribution network. It delves into the existing system layout, network configuration, pumping stations, reservoirs, pipe materials, and other infrastructure components contributing to the distribution of potable water to the residents.Furthermore, the review article conducts a detailed analysis of hydraulic modeling techniques and software applications utilized in assessing the performance and optimization of the water distribution network. It scrutinizes factors influencing network efficiency, including water demand patterns, pressure management, leakage detection, and water loss reduction strategies.Through a critical evaluation of the existing challenges faced by the water distribution network in Jabalpur Cantonment, the review identifies issues such as aging infrastructure, inadequate maintenance, uneven distribution, non-revenue water, and insufficient pressure management.

0136 Firefighter Sleep Behavior and Psychomotor Vigilance Compared to Biomathematical Predictions of Performance

Abstract Introduction Firefighters work a demanding 24-hour job in which fatigue may compromise safety. Biomathematical fatigue modeling software applications, like the Sleep, Activity, Fatigue, and Task Effectiveness Fatigue Avoidance Scheduling Tool (SAFTE-FAST) could be adapted to serve as a fatigue mitigation tool for firefighting operations. SAFTE-FAST predicts task effectiveness using objective work and sleep data. Model predictions of effectiveness (Predicted Effectiveness) have not been previously compared against actual Psychomotor Vigilance Task (PVT) speed (Actual Effectiveness) in a firefighter population. Methods Total sleep time across the 24-hour day (TST24) was monitored continuously throughout a 2-week study period in firefighters working 24-hour shifts using a sleep-tracking actigraphy device (Zulu Watch, Institutes for Behavior Resources). Speed on an 8-minute PVT was assessed daily on on-shift and off-shift days. Mean speeds >2 standard deviations above the grand distribution were excluded. SAFTE-FAST calculated Predicted Effectiveness (PVT Speed [1/Reaction Time] expressed as a % of individual optimum performance) from objective sleep and work data. Actual Effectiveness was computed as a percentage of the median of an individual’s top 10% fastest PVT Speeds. Paired samples t-test explored differences between on-shift and off-shift PVT Speed and TST24. Linear regression explored correlation of Predicted Effectiveness to Actual Effectiveness across 5% Effectiveness bins. Results Two hundred twenty (N=220) firefighters provided sleep, work, and PVT data for 1-2 weeks (Mean: 8; Range: 1-15 days) between 9/2020 to 8/2021. On-shift days accounted for 37% of study days (M: 3; R: 0-10 on-shift days). PVT Speed and TST24 were not significantly different between on-shift (Speed: 2.43±0.47; TST24: 404±163 minutes) and off-shift days (Speed: 2.44±0.48; TST24: 396±156 min; all p>0.1). Linear regression across 5% SAFTE prediction bins revealed significant correlations between SAFTE Predicted Effectiveness and PVT Actual Effectiveness (R2=0.861, p<.001). Conclusion Firefighters averaged less than 7 hours of sleep per 24-hour period whether on or off-shift. Average PVT speed was similar to performance from chronically-sleep-deprived or alcohol-impaired individuals. SAFTE-FAST Predicted Effectiveness and PVT Actual Effectiveness were distributed similarly across 5% bins. While preliminary, these findings suggest that firefighters may suffer from chronic sleep debt and impaired psychomotor vigilance that can be predicted using biomathematical modelling. Support (If Any) N/A

A Digital Workflow Supporting the Selection of Solvents for Optimizing the Crystallizability of p-Aminobenzoic Acid

We present a grid-based molecular modeling approach and software application for screening the solute–solvent and solute–solute interactions of organic molecules. This tool can provide a deeper und...

Matlab Based Unit Impulse Response and Stability Analysis Experiments for Automation Control Theory

In modeling engineering and software application, to reduce the difficulties in the course of automation control faced by Sino-Italian bachelor student majored in automation, a module and multi-language based virtual experiment design method is proposed. Virtual experiment architecture in automation control theory is presented. Five classes of experiments included in virtual experiment architecture are introduced. These experiments are appropriate especially for the Sino-Italian cooperation project in exchange bachelor education. These experiments take the popular simulation software MATLAB in the international control area as the virtual experiment platform, enable the students to master the system modeling and time domain analysis with MATLAB. To validate the method proposed in this paper, the unit impulse response experiment and stability analysis experiment are designed and further conducted by bachelor students in automation experiment room.

Nueva metodología para el diseño rápido de sistemas de potabilización de agua en la enseñanza universitaria en Ingeniería ambiental

A nivel mundial día a día las fuentes de recurso hídrico superficial dotadas con cualidades aptas para consumo humano disminuyen resultando en afecciones a comunidades dependientes de dichas fuentes de este preciado recurso. Dada la situación actual, la opción más viable para favorecer a comunidades aisladas o alejadas es mediante la construcción de pequeñas plantas de tratamiento de agua potable (PTAP´s) con módulos de diseño rápido y sistematizado que permita obtener las especificaciones para su construcción y operación en forma segura y sostenible con el tiempo cumpliendo con el ODS 6 (Agenda 2030, ONU). Dentro de este contexto, el diseño de sistemas para la obtención de agua potable se convierte en una herramienta valiosa que permite la configuración rápida de este tipo de infraestructura para levantar sistemas eficientes y completamente sostenibles en comunidades con escaso recurso hídrico. Actualmente, la enseñanza de este tipo de conceptos y fundamentos se encuadran en las curriculas de programas y escuelas profesionales a nivel universitario que imparten la especialización en ingeniería ambiental con escaso nivel informático y sistematizado decayendo en su aplicación por su manejo tradicional con cálculos tediosos y lentos en la obtención de resultados. Por ello en este estudio se propone una nueva dinámica de aprendizaje utilizando la aplicación de software de modelado 3D para el estudio de casos reales con aplicación práctica y resolución inmediata permitiendo el pleno desarrollo de la capacidad crítica en el grupo de alumnos que la utilizarán.

THE INTEGRATION OF A SCAN-TO-HBIM PROCESS IN BIM APPLICATION: THE DEVELOPMENT OF AN ADD-IN TO GUIDE USERS IN AUTODESK REVIT

Abstract. In recent years, the generative process of building information modeling (BIM) digital models oriented to the digitisation of heritage buildings has been supported by the development of new modeling tools, able to integrate the point cloud data produced by laser scanning and digital photogrammetry in major modeling software applications such as Autodesk Revit and Graphisoft Archicad. Architectural and structural elements of churches, castles, and historical monuments such as complex vaults, arches, decorations and ornaments, irregular walls with a variable section and wall stratigraphy require higher levels of detail (LOD) and information (LOI) than new buildings. Consequently, the structure of a BIM model oriented to represent heritage buildings (HBIM) required the definition of a new digital process capable of converting the traditional techniques to the generation of 'unique' digital models able to connect different type of information. Consequently, the generation of 'new' 3D objects able to follow the constructive logic of the detected artefact has required the establishment of new grades of generation (GOG) and accuracy (GOA) to reduce the time and cost of the scan-to-BIM process. The main challenge of this research was the integration of these new modeling requirements in BIM software through the development of an add-in for one of the most used BIM software (Autodesk Revit). Through the generation of the complex vaulted system of the Basilica of Collemaggio (L’Aquila, Italy) and one of the most famous monuments of northern Italy (Arch of Peace in Milan, Italy), the following research shows how it was possible to support users in the HBIM generation, reducing the modeling impact of complex shapes from point cloud data and increasing information sharing for different BIM-based analysis, disciplines and users.

Assessing Canada’s disaster baselines and projections under the Sendai Framework for Disaster Risk Reduction: a modeling tool to track progress

Under the United Nations (UN) Sendai Framework for Disaster Risk Reduction (2015–2030), 187 countries including Canada committed to increasing disaster resilience and reducing disaster losses by 2030. In order to track these commitments, the UN developed methodological guidance to establish baselines and assess progress across seven global targets for disaster risk reduction. This article describes research that employs the UN methodology to create baselines and targets for Canada, and extends the UN methodology further by developing a statistical modeling software application to project current trends to the year 2030. Based on the results, Canada would need to prevent 88 hazard events from becoming disasters; keep the disaster fatality rate near zero; avoid 4700 disaster-related injuries; prevent 556,000 people from being evacuated; avoid $92 billion in disaster losses; and protect significant sources of critical infrastructure from disruption. Three key limitations were identified in the research: First, there was a lack of consistent Canadian data across impact categories and over time; second, the historical record of disasters, particularly hydrometeorological disasters, may not be an adequate proxy for the future; and third there were also acute prediction limitations in the projection model which could not account for very frequent small-scale and very infrequent catastrophic-scale disaster events. Though the model projections suggest Canada may face a significant challenge in the years ahead, with a recently announced $180 billion infrastructure investment plan, there is an opportunity for Canada to better manage disaster risks, by not just building back better, but also building smart to start.

Self-Propelled Corn Harvester Virtual Design

Aiming at the need to retain the current maize straw harvester in China: Problems and ordinary farmers harvest corn after the completion of the overall structure, design of self-propelled corn harvester; 3D parameter modeling software application for modeling and Simulation of harvester ear picking roller, complete harvester virtual prototype assembly, improves the design efficiency of the harvester; the whole structure compact, cost-effective, reliable work.

The online use of first-principles models in process operations: Review, current status and future needs

The online use of first-principles models (FPMs) to support process operations has been practised in the chemical and petroleum industry for over 40 years. FPMs can encapsulate a large amount of process knowledge and many companies have realized significant value from the use of these models in online model based applications (OMBAs). Such applications include real-time optimization, model predictive control, data reconciliation, virtual sensors, and process performance monitoring to name a few. The sophistication of both the FPM models and applications based on them has increased over time. At some points in the evolution certain applications were not successful due to issues related to sustainability, which includes model complexity, solvability, maintainability and tractability. Also, model development cost can be a factor in considering the type of model used in these applications. Hence many simplified and empirical model-based online applications became preferred in some domains, even though the overall prediction quality of the FPM may be superior. This paper will review the past experiences, current status and future challenges related to FPM based online modeling applications. There are many areas where the issues related to FPMs can be addressed through proper model management, better software tools and improved technical approaches and work processes. It is hoped that this paper can serve as a basis to promote an understanding of the issues for researchers, modeling software vendors, modeling engineers, and application engineers and help to stimulate improvements in this area leading to increased usage and value of FPMs in supporting process operations.

Assessment of conformance and interoperability testing methods used for construction industry product models

This paper presents a review and assessment of conformance and interoperability testing methods for product data models used in the construction industry. Conformance testing methodologies, with varying degrees of rigor, have been developed and applied to ensure interoperability across product modeling software applications in other engineering and industry domains, such as, engineering and manufacturing of automotive and aerospace products. Current conformance testing and evaluation of interoperability for construction industry product modeling software do not necessarily apply those same principles and are usually done on an ad-hoc basis. Key principles are identified for improved methods and metrics for developing conformance and interoperability testing capabilities for the construction industry.