Energy is considered a resource for survival. The demand and supply of natural resources used to generate, transmit, and consume the power make the puzzle for the human race even more complex. Other physical elements ...
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ISBN:
(纸本)9780983762423
Energy is considered a resource for survival. The demand and supply of natural resources used to generate, transmit, and consume the power make the puzzle for the human race even more complex. Other physical elements like water, copper wiring, electric cars, nuclear power plants, oil platforms, consumer tablets, and buildings to name a few are attached to the energy ecosystem adding mass confusion to a system failing to keep up with the global changes. We are finding ourselves in a dilemma where supply is not meeting demand with an exponential growing population and digital devices putting more demands on our power systems. Opinions, priorities, and perspectives in society fuel the frustration, animosity, and failure of energy projects. The integrity and results are unquestionable and flexible enough to adopt and restructure our energy systems. Critical best practices in process, requirements and modeling originating in the systemsengineering discipline will enable success and rapid transformation. A new twist is the user-centered software driven, digital transformation of the energy infrastructure. Other changes to other infrastructures have been material and mechanical innovations traditionally. This paper deals with a methodology for designing a smarter power and energy management system, following the V-cycle. It focuses on building a model using systems modeling language (SysML). The application of systemsengineering process in power and energy is presented in this paper as well as the devices in the systems which are going to have a software component enveloping the digitization and proliferation of better, faster, and more effective ways of reusing our best practices in systemsengineering. This paper introduces a system-of-systemsengineering approach codified in client power management software needed for the urgent transformation of global power systems.
Although being directly affected by the fluctuations in complex adaptive systems such as knowledge transfer, and economy, technology training within organizations, are managed as independent projects, furthermore caus...
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Multi-criteria decision-making (MCDM) problems are generally oriented toward strategic decisions and have a significant economic aspect, holding a special place in decision-making processes. To address these problems,...
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Indoor air quality(IAQ)is often overlooked,yet a poorly maintained environment can lead to significant health issues and reduced concentration and productivity in work or educational *** study presents an innovative c...
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Indoor air quality(IAQ)is often overlooked,yet a poorly maintained environment can lead to significant health issues and reduced concentration and productivity in work or educational *** study presents an innovative control system for mechanical ventilation specifically designed for university classrooms,with the dual goal of enhancing IAQ and increasing energy *** classrooms with distinct construction characteristics were analyzed:one with exterior walls and windows,and the other completely *** each classroom,a model was developed using DesignBuilder software,which was calibrated with experimental data regarding CO_(2) concentration,temperature,and relative humidity *** proposed ventilation system operates based on CO_(2) concentration,relative humidity,and potential for free heating and *** addition,the analysis was conducted for other locations,demonstrating consistent energy savings across different climates and environments,always showing an annual reduction in energy *** demonstrate that mechanical ventilation,when integrated with heat recovery and free cooling strategies,significantly reduces energy consumption by up to 25%,while also maintaining optimal CO_(2) levels to enhance comfort and air *** findings emphasize the essential need for well-designed mechanical ventilation systems to ensure both psychophysical well-being and IAQ in enclosed spaces,particularly in environments intended for extended occupancy,such as ***,this approach has broad applicability,as it could be adapted to various building types,thereby contributing to sustainable energy management practices and promoting healthier indoor *** study serves as a model for future designs aiming to balance energy efficiency with indoor air quality,especially relevant in the post-COVID era,where the importance of indoor air quality has become more widely recognized.
Multi-access edge computing (MEC) refers to deploying computation resources, known as cloudlets or edge servers, near the edge of the mobile network. Services like augmented reality (AR) benefit from MEC by service pl...
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Recent advances in deep learning have led to the creation of various methods for change-point detection(CPD).These methods enhance the ability of CPD tech-niques to handle complex,high-dimensional data,making them mor...
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Recent advances in deep learning have led to the creation of various methods for change-point detection(CPD).These methods enhance the ability of CPD tech-niques to handle complex,high-dimensional data,making them more adaptable and less dependent on strict assump-tions about data *** methods have also demonstrated high accuracy and have been applied across various fields,including manufacturing,healthcare,activity monitoring,finance,and environmental *** review provides an overview of how these methods are applied,the data sets they use,and how their performance is *** also organizes techniques into supervised and unsupervised categories,citing key ***,we explore ongoing challenges and suggest directions for future research to improve interpretability,generalizability,and real-world implementation.
Multistage Manufacturing systems (MMS) are common in industries involving complex processes with multiple stages, each impacting the final product quality. Traditional product quality modeling approaches struggle with...
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Addressing the complex issue of emergency resource distribution center site selection in uncertain environments, this study was conducted to comprehensively consider factors such as uncertainty parameters and the urge...
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Addressing the complex issue of emergency resource distribution center site selection in uncertain environments, this study was conducted to comprehensively consider factors such as uncertainty parameters and the urgency of demand at disaster-affected sites. Firstly, urgency cost, economic cost, and transportation distance cost were identified as key objectives. The study applied fuzzy theory integration to construct a triangular fuzzy multi-objective site selection decision model. Next, the defuzzification theory transformed the fuzzy decision model into a precise one. Subsequently, an improved Chaotic Quantum Multi-Objective Harris Hawks Optimization (CQ-MOHHO) algorithm was proposed to solve the model. The CQ-MOHHO algorithm was shown to rapidly produce high-quality Pareto front solutions and identify optimal site selection schemes for emergency resource distribution centers through case studies. This outcome verified the feasibility and efficacy of the site selection decision model and the CQ-MOHHO algorithm. To further assess CQ-MOHHO’s performance, Zitzler-Deb-Thiele (ZDT) test functions, commonly used in multi-objective optimization, were employed. Comparisons with Multi-Objective Harris Hawks Optimization (MOHHO), Non-dominated Sorting Genetic Algorithm II (NSGA-II), and Multi-Objective Grey Wolf Optimizer (MOGWO) using Generational Distance (GD), Hypervolume (HV), and Inverted Generational Distance (IGD) metrics showed that CQ-MOHHO achieved superior global search ability, faster convergence, and higher solution quality. The CQ-MOHHO algorithm efficiently achieved a balance between multiple objectives, providing decision-makers with satisfactory solutions and a valuable reference for researching and applying emergency site selection problems.
The purpose of this paper is to initiate the design of a framework for defining and capturing disaster managementsystems (DMS). Recognizing the management of disasters as complex adaptive systems (CAS), whose perform...
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ISBN:
(纸本)9781424458820
The purpose of this paper is to initiate the design of a framework for defining and capturing disaster managementsystems (DMS). Recognizing the management of disasters as complex adaptive systems (CAS), whose performance cannot be improved through the isolated optimization of their constituents, this paper proposes the adoption of model-based systemsengineering (MBSE) to capturing the behavior of such systems, as well as the structure responsible for their behaviors. Using a domain-independent language such as the systems modeling language (SysML) to implement MBSE, the holistic approach proposed here effectively introduces a new paradigm in disaster management studies that is aimed at reducing the aforementioned complexity. By enforcing traceability between the DMS subsystems, and by leveraging artifacts such as viewpoints to develop perspectives that are tailored to specific stakeholders and users, it is anticipated that a MBSE-based holistic approach such as the one presented in this paper will promote proper use of the scientific method for the design, verification, validation and improvement of disaster managementsystems.
Large Language Models (LLMs) have exhibited significant potentials across various tasks. However, how to leverage the power of LLMs in the mispronunciation detection and diagnosis (MDD) task is still under-explored. I...
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