In this paper we develop an integrated midcourse-terminal guidance methodology for a trailing interceptor in a many-on-many intercept scenario. The interceptor acts upon the engagement outcomes of the preceding interc...
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ISBN:
(数字)9798350395440
ISBN:
(纸本)9798350395457
In this paper we develop an integrated midcourse-terminal guidance methodology for a trailing interceptor in a many-on-many intercept scenario. The interceptor acts upon the engagement outcomes of the preceding interceptor group and can dynamically engage one of the evaders at the specified decision time, which separates the scenario in midcourse and terminal phases. We propose a methodology based on reachability analysis and adjoint mathematics tools for selecting an optimal decision (handover) point between the engagement phases. The handover point optimizes the trade-off between the expected miss distance and control effort over all possible allocations. The proposed approach facilitates computationally efficient solution for online operation in a salvo-attack scenario. The methodology is exemplified for minimum-time midcourse trajectories and proportional navigation terminal guidance law.
The fate of per- and polyfluoroalkyl substances (PFAS) was evaluated at a site where municipal biosolids have been applied annually for 38 years as a waste management strategy. Soil cores (1.8 m in 30-cm sections), gr...
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Solving the consensus problem in multi-agent systems is a significant challenge, particularly when dealing with communication issues among system agents. One other important challenge in solving the consensus problem ...
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ISBN:
(数字)9798331529734
ISBN:
(纸本)9798331529741
Solving the consensus problem in multi-agent systems is a significant challenge, particularly when dealing with communication issues among system agents. One other important challenge in solving the consensus problem is the optimality of each agent's inputs, which leads to the Nash equilibrium problem. Most of the suggested methods for addressing both the Nash issue and the consensus problem depend on the agents' dynamics. Also, these algorithms need steady communication conditions, which are challenging to achieve in the real world. This research presents a model-free policy iteration reinforcement learning algorithm that does not require agent dynamics and uses the gradient descent technique with critic network structures. The algorithm also has the ability to solve equations when an agent loses its connection and make it independent from the system model and capable of working even when communication is disconnected.
Hospital wastewater contains a complex mixture of pollutants, including biological, chemical, and pharmaceutical contaminants, which necessitates effective treatment strategies. This study investigates the efficiency ...
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This study explores the renewable energy sources (RESs) integration for sustainable water desalination in remote zones. It presents an isolated hybrid renewable energy system (IHRES) optimized through a novel metaheur...
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ISBN:
(数字)9798350395075
ISBN:
(纸本)9798350395082
This study explores the renewable energy sources (RESs) integration for sustainable water desalination in remote zones. It presents an isolated hybrid renewable energy system (IHRES) optimized through a novel metaheuristic called quadratic interpolation optimization (QIO). The system includes wind turbines (WTs), solar photovoltaic (PV), batteries, and a diesel generator (DG). This design aims to deliver unremitting power for both electrical load and a reverse osmosis desalination plant (RODP), ensuring system resilience against RESs intermittency while enhancing sustainability and freshwater production. The QIO algorithm addresses multi-objective optimization challenges, focusing on minimizing the cost of energy (COE), enhancing the loss of power supply possibility (LPSP), and reducing excess energy within established constraints. The proposed system is optimized for a coastal residential community in Yanbu, Saudi Arabia. To safeguard the stability, accuracy, and robustness of the proposed QIO technique, rigorous statistical validation is performed, demonstrating its effectiveness in solving the optimization problem. Moreover, the study includes a detailed comparative analysis with other established algorithms, such as whale optimizer algorithm (WOA) and grey wolf optimizer (GWO). This comparative study assesses the impact of reliability indices on the optimal IHRES sizing, highlighting that the QIO algorithm excels in identifying the most efficient system to be the most cost-effective and eco-friendly choice.
The eye-mind hypothesis suggests that people tend to look at what they’re actively thinking about, forming the basis of eye and gaze tracking. This concept is gaining attention in deep learning due to its broad appli...
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ISBN:
(数字)9798331540012
ISBN:
(纸本)9798331540029
The eye-mind hypothesis suggests that people tend to look at what they’re actively thinking about, forming the basis of eye and gaze tracking. This concept is gaining attention in deep learning due to its broad applications. The use of AI alongside webcams to monitor eye movements is increasingly popular and expected to grow further. This is further emphasized by recent data showing a growing use of eye gaze estimation techniques, especially in marketing research, e-commerce, and educational tools. Accordingly, multiple previous research works have developed various eye and gaze estimation and tracking models. However, one main limitation is that many models use their own datasets for performance evaluation as well as having different underlying computing resources that are used during training. Consequently, it becomes harder to compare the effectiveness and efficiency of these models. To that end, this work aims at providing a comprehensive comparative study of three well-established eye gaze estimation models, namely OpenGaze, GazeRefineNet, ODABE, and FAZE models using a unified evaluation framework. Experimental results conducted using GazeCapture dataset illustrate that OpenGaze model achieves a mean error of 2.27 cm mean error, GazeRefineNet model achieves 1.91 cm, ODABE model achieves 3.46 cm, and FAZE model achieves 2.9 cm. This indicates that GazeRefineNet outperforms the other models in terms of accuracy while having comparable computational complexity.
In recent years, multi-agent systems have been gar-nering increasing attention due to their wide-ranging applications in robotics, autonomous transportation, and search and rescue missions. One of the key challenges i...
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ISBN:
(数字)9798331529734
ISBN:
(纸本)9798331529741
In recent years, multi-agent systems have been gar-nering increasing attention due to their wide-ranging applications in robotics, autonomous transportation, and search and rescue missions. One of the key challenges in these systems is achieving effective cooperative control, which involves designing control protocols that allow agents to communicate and work together to accomplish common objectives. In most real-world scenarios, the dynamic systems of agents are nonlinear and uncertain. Fur-thermore, communication between agents is often impacted by delays, adding complexity to the coordination process. This paper addresses these challenges by proposing a distributed cooperative sliding mode controller designed to achieve consensus within a multi-agent system comprising a leader and several followers. The controller ensures that the local tracking error for each agent converges to zero, even in the presence of communication delays and system uncertainties. Through a distributed leader-follower-based cooperative control framework, the design allows each agent to synchronize its states with the leader and neighboring agents effectively. The proposed approach offers a robust solution to the nonlinear dynamics, uncertainties, and delays inherent in multi -agent systems.
This study aims to give an accurate estimate of the effective thermal-mechanical properties of a coreless circuit substrate for advanced IC packages. To achieve the goal, a subdomain-based effective method is proposed...
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This study aims to give an accurate estimate of the effective thermal-mechanical properties of a coreless circuit substrate for advanced IC packages. To achieve the goal, a subdomain-based effective method is proposed, incorporating a sub-domain three-dimensional (3D) copper trace mapping and modeling (TMM) method, a volume-averaging rule of mixture (ROM) technique and finite element modeling. Furthermore, the proposed effective method is combined with an FEA-based process simulation framework to investigate the process-induced warpage of a flip-chip chip scale package during fabrication. At last, parametric analysis is performed to identify the crucial factors influencing the process-induced warpage of the package.
Designing a competent meta-reinforcement learning (meta-RL) algorithm in terms of data usage remains a central challenge to be tackled for its successful real-world applications. In this paper, we propose a sample-eff...
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Vehicle Edge Computing (VEC) assists vehicles in performing latency-sensitive tasks by deploying resources near the vehicle. Designing an incentive mechanism for vehicles and VEC is crucial for realizing an intelligen...
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