Dynamic Boundary Optimization of Free Route Airspace Sectors

Article Chemistry, Analytical

CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm

Chia-Nan Wang et al.

Summary: This study proposed a novel approach to improve centrifugal pump performance by establishing a numerical model and applying artificial intelligence algorithm to optimize the pump design, resulting in improved performances.

MICROMACHINES (2022)

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Article Engineering, Aerospace

From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics

Ralvi Isufaj et al.

Summary: In the current ATM context, decision-making is fragmented and leads to complex interdependencies between key performance indicators (KPAs). This paper addresses the need to uncover hidden trade-offs between KPAs by introducing the concept of air traffic complexity and developing a methodology and tool to visualize and analyze these trade-offs. The algorithm presented in this paper shows promise in improving decision-making and increasing transparency among different airspace users.

AEROSPACE (2022)

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Article Engineering, Aerospace

Air Traffic Complexity Map Based on Linear Dynamical Systems

Daniel Delahaye et al.

Summary: This paper presents a new air traffic complexity metric based on linear dynamical systems, which quantifies the intrinsic complexity of aircraft trajectories. By identifying the organization properties of trajectories in traffic patterns, this metric captures key factors in ATC complexity. It is suitable for comparing complexity in different traffic situations and can be extended in space and time dimensions.

AEROSPACE (2022)

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Article Engineering, Electrical & Electronic

Optimizing compliant gripper mechanism design by employing an effective bi-algorithm: fuzzy logic and ANFIS

Tien V. T. Nguyen et al.

Summary: This study utilizes a hybrid algorithm of fuzzy logic and ANFIS to optimize the design of a compliant gripper mechanism, focusing on response parameters such as displacement values and frequency values. The bi-algorithm approach was found to be more effective than traditional methods, showing promising potential for client satisfaction and rethinking the concept of multi-objective optimization design in related fields.

MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS (2021)

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Article Mathematics, Interdisciplinary Applications

Learning Air Traffic as Images: A Deep Convolutional Neural Network for Airspace Operation Complexity Evaluation

Hua Xie et al.

Summary: A sector is a basic unit of airspace managed by air traffic controllers, with its operation complexity playing a crucial role in air traffic management system. Researchers have proposed machine learning methods to evaluate SOC, but existing studies rely on hand-crafted factors, limiting the performance of the model. Therefore, this paper introduces an end-to-end SOC learning framework based on deep convolutional neural network, which can be flexibly and conveniently applied to SOC evaluation.

COMPLEXITY (2021)

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Article Engineering, Aerospace