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Based on the current widespread use of underwater vehicles, a special type of underwater glider equipped with energy-saving diamond-structured rotatable wings that can improve the underwater vehicle's lift-drag ratio optimize hydrodynamic performance, and enhance flight quality was studied. With the support of adaptive meshing technology and Fluent's epsilon standard turbulence model, lift and drag...
Podded propeller (POD) has been developed recently as a new type of propulsion system. It is composed of a pod body, a propeller, and a strut. This propulsion system can save cabin space, reduce vibration of the main engine, increase propulsion efficiency, and improve the ship maneuverability. This study verifies the reliability of computational fluid dynamics (CFD) for calculating the hydrodynamic...
In this study, the hydrodynamic performance of a dish-shaped autonomous underwater helicopter (AUH) in waves near the sea surface is examined. The AUH is a novel type of autonomous underwater vehicle (AUV) that has excellent maneuverability and flexibility. The hydrodynamic performance of a dish-shaped autonomous underwater helicopter (AUH) in waves near the sea surface is estimated. An AUH is a novel...
In this paper, the conceptual design with integrating motion control and considering the cross current was applied to establish a submarine motion simulator, where the path motion stability is evaluated. The methods used to construct the simulator include the standard navigation approach by applying the LOS algorithms and PD control Euler-Rodriguez quaternion for conversion between submarines motion...
This paper presents the motion simulation of an autonomous underwater helicopter (AUH), a new type of underwater vehicle proposed by Zhejiang University. In order to determine whether its controllability meets the design requirements, a singularity-free unit quaternion stable control method is used for simulating the AUH performance in MATLAB, including its force and trajectory under different types...
The underwater vehicles are always being disturbed by ocean current when they work under the sea. In this paper, the Magnus force of a new type autonomous underwater vehicle (AUV) named “autonomous underwater helicopter (AUH)”, a disk-shaped deep-sea underwater vehicle, was analyzed to help it move away from a deep-sea region with temporary ocean current. The simulation technique of the ANSYS-CFX...
Hyperspectral imaging has great potential for understanding the characteristics of different materials in many applications ranging from remote sensing to medical imaging. However, due to various hardware limitations, only low-resolution hyperspectral and high-resolution multi-spectral images can be available using existing imaging techniques. This study aims to generate a high-resolution hyperspectral...
Content Based Image Retrieval (CBIR) systems that search similar images in a large database are attracting more and more research interests recently, and have been applied to medical image characterization for expert's experience sharing. One challenging task in CBIR is how to extract features for effective image representation. Therein sparse coding technique has been proven to be an effective way...
To achieve intelligent manufacturing in Industry 4.0 for steel industry, this paper considers a smart steel manufacturing framework, where an automatic identification tracking method for steel products is proposed. Automatically online tracking and identifying steel products on a production line is essential for intelligent manufacturing management since those products would be frequently moved and...
Machine learning is widely used in various applications such as data mining, computer vision, and bioinformatics owing to the explosion of available data. However, in practice, many data have some missing attributes. The graphic theory serves as a powerful tool for modeling and analyzing many such practical problems, such as networks of communication and data organization. This paper focuses on semi-supervised...
We develop an intelligent credit rating system that can provide debtors' rating information without involving credit rating agencies. Several models are used for credit scoring in our work, including the Duffie's model, logistic regression, and random forest. We compare the performance of these models and build an in-depth understanding of the evaluation of credit rating. Furthermore, we propose a...
We characterize, for the first time, relative intensity noise and timing jitter properties of the OPG output pulses based on the balanced optical cross-correlator technique, which is in a fairly good agreement with numerical simulation.
Data throughput enhanced tri-color optical transmitter with single-mode modulation for 28-GHz photonic millimeter-wave over fiber link in 50-km-long SMF is demonstrated to achieve QAM-OFDM baseband data rates of 18-Gb/s optical and 12-Gb/s 3-m wireless communications.
Brain tumor segmentation from magnetic resonance images is a critical step for early tumor diagnosis and treatment. However, accurate and general segmentation of brain tumor is still a challenging task due to complicated characteristics of brain tumor in magnetic resonance images. To solve this problem, we proposed a novel method for brain tumor segmentation based on features of separated local square...
Considering that the information uploaded by fault indicator devices is often lost or wrong in actual operation, a fault diagnosis method for distribution networks based on multi-source information is developed in this paper. The multi-source information includes information from distribution automation terminals and the customer electric information acquisition system (CEIAS). Firstly, using the...
Recently, fault indicators with communication function have been increasingly used in fault diagnosis of distribution networks. In this paper, an objective function which considers the reliability index of the distribution network and economic factors synthetically has been proposed for optimal placement of fault indicators in distribution networks, and binary particle swarm optimization algorithm...
Low rank tensor completion, which solves a linear inverse problem with the principle of parsimony, is a powerful technique used in many application domains in computer vision and pattern recognition. As a surrogate function of the matrix rank that is non-convex and discontinuous, the nuclear norm is often used instead to derive efficient algorithms for recovering missing information in matrices and...
After years of tremendous development and research in digital currency, the most famous Bitcoin industry chain has been gradually completed including mining, exchange, currency exchange, ATM, pervasive digital wallet design and so on. Especially, its blockchain technology has become FinTech organizations' emerging business and research directions, also been applied in the interdisciplinary medical...
In this paper, we study the physical layer security in the downlink Non-Orthogonal Multiple Access (NOMA) systems with the capability of simultaneous wireless information and power transfer (SWIPT). In our system, each user applies the optimum power splitting (PS), in order to coordinate the energy harvesting and information decoding at the receiver. The optimization problem is formulated as the optimal...
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