In Bangladesh, dairy industry plays a pivotal role in country's economic growth. Which is why integrating Biogas with Solar Photovoltaic (PV) systems offers a reliable and sustainable energy solution for dairy far...
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A hydrological model needs to be calibrated to obtain the most optimal parameter set and the most common method is the use of optimization algorithms to minimize the error between observed and modelled values. While i...
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Intelligent optimization algorithm (IOA) has been widely applied to active noise control (ANC) in recent years. Compared to the conventional filtered-x least mean square (FxLMS) algorithm-based ANC, IOA-based ANC not ...
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This study endeavors to enhance the management strategies of blood supply chains during emergencies, with a particular focus on the timeliness and compatibility of blood as a critical public product. Addressing the si...
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ISBN:
(纸本)9798331314347
This study endeavors to enhance the management strategies of blood supply chains during emergencies, with a particular focus on the timeliness and compatibility of blood as a critical public product. Addressing the significant disruptions that natural disasters, such as earthquakes, can cause in the normal operation of blood supply chains, leading to surges in demand and blood shortages, the paper proposes solutions through a literature review and model construction. It suggests the establishment of mobile hospitals and temporary blood collection points to bolster emergency response capabilities. Utilizing mathematical modeling, the study analyzes key factors including blood demand forecasting, inventory management, and transportation route optimization, aiming to minimize resource waste through efficient scheduling. The effectiveness of the optimization model in improving rescue efficiency and ensuring patient safety is validated through an analysis of the Wenchuan earthquake rescue operation. The research methodology involves the construction of a multi-objective planning model that prioritizes minimizing the total time and cost associated with blood self-collection and external allocation. The model incorporates constraints such as supply and demand balance, dynamic inventory balance, and the capacity limitations of blood allocation. MATLAB's YALMIP toolbox and the CPLEX solver are employed to solve the model, with actual data from the Wenchuan earthquake rescue operation used for simulation analysis. The results indicate that the optimization strategy significantly improves the total time and cost of the blood emergency dispatch network, reduces blood waste, and enhances treatment efficiency. Sensitivity analysis further reveals the impact of shortage rates and expiration rates on the performance of blood supply chain security, underscoring the importance of accurate demand forecasting and flexible inventory management. The findings conclude that the optimizatio
The improvement of light absorption is a major change for optical detectors. In this research, a metal-semiconductor-metal photodetector with a patterned metal grating was investigated and the gating was optimized for...
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Rotary-steerable systems (RSS) have gained prominence in modern drilling operations, in large part for their ability to keep the drill string rotating while maintaining precise directional control. This technology enh...
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ISBN:
(纸本)9781959025641
Rotary-steerable systems (RSS) have gained prominence in modern drilling operations, in large part for their ability to keep the drill string rotating while maintaining precise directional control. This technology enhances drilling efficiency, enables longer laterals, and can ease post-drilling operations such as running casing. However, achieving consistent directional performance with RSS technology, particularly in high dogleg severity (DLS) applications, remains a challenge for many providers. This study highlights how this specific challenge has been overcome through the implementation of advanced analytics and engineering workflows. Early deployments of this RSS technology revealed inconsistent build rate performance when drilling curved wellbore sections, despite simulation and modeling results indicating that this should not be the case. Various sources of this discrepancy were examined including modeling limitations, Bottom-Hole Assembly (BHA) configurations, bit design, formation effects, and operational practices. Based on the various investigations, several adjustments were made not only to the design of the tool and the BHA, but the general approach to modeling the directional behavior of the drilling system and the evaluation of these drilling systems in the field. The resulting changes have subsequently resulted in more consistent dogleg output from the RSS, often exceeding well planning requirements. Further optimization studies were conducted to better understand the downhole mechanics of the "high DLS output" scenario, seeking to minimize undesired wellbore curvature. The findings guided the development of an enhanced procedure for drilling the curved wellbore sections. The updated procedures have demonstrated improved consistency in the curved wellbore sections, aligning directional output more closely with the well plan while improving the rate of penetration (ROP). Maximum dogleg severity values have been routinely measured over 15°/100ft in mul
Establish a model of catapult base made of carbon fiber reinforced composite material, utilize the composite material analysis module in Abaqus to study its structure, and propose design improvements. This paper analy...
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The proceedings contain 235 papers. The topics discussed include: from many to one: a case study of cooperative enterprise systems in B2B digital platform creation;navigating the digital future: impact and opportuniti...
The proceedings contain 235 papers. The topics discussed include: from many to one: a case study of cooperative enterprise systems in B2B digital platform creation;navigating the digital future: impact and opportunities of digital transformation and the metaverse;exploratory customer discovery on Veblen goods using ChatGPT and agent-based modeling system for business simulation;navigating blockchain assimilation in private institutions: a multi-level perspective analysis;artificial intelligence applied in adaptive manufacturing process monitoring: a state-of-the-art in the era of automation;the design of self-paced learning for structured learning environments;implementation of information systems for the long-term reuse of data in humanities research;and structural and cultural barriers to digital transformation in Swedish public organizations.
Floating Photovoltaic (FPV) systems offer a sustainable solution by utilizing water surfaces for solar power generation, reducing land use, and conserving water. However, existing standards for ground-mounted solar pr...
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This article takes the sliding support structure of the external window as the research object and changes its structure to reduce mass and stress concentration in order to save materials while meeting structural requ...
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This article takes the sliding support structure of the external window as the research object and changes its structure to reduce mass and stress concentration in order to save materials while meeting structural requirements. Firstly, the digital parameter model of the sliding support structure can be carried out using Creo 3D model software, which allows the parameters to be defined directly within the range controlled by the computer without the need for manual modification of component thickness. ANSYS software is used to perform finite element simulation analysis on the sliding support structure under static loading conditions. Then, within the set threshold, a Kriging model is used to establish a response surface model for sliding support structures with different thicknesses of irregular plates and different gasket diameters. optimization is carried out under constraint conditions. The stress-strain cloud maps before and after optimization are compared and verified to determine the optimal solution. 2025 Published under licence by IOP Publishing Ltd.
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