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The effective feature selection and classification of power traces in side-channel attacks has been a hot topic of research in recent years. Traditional side-channel attacks, such as simple power analysis attacks and template attacks, require a large number of power traces to break the key, while machine learning algorithms require fewer power traces to successfully recover the key, thus being abl...Show More
The Steiner minimum tree (SMT) problem is one of the classic nonlinear combinatorial optimization problems for centuries. A novel solution, longest side elimination solution method (LSEM), is proposed in this paper. Firstly, the minimum spanning trees is defined as convex road and external side. Secondly, LSESM is constructed for solving the full SMT by using Melzak geometric composition principle...Show More
The common-mode current flowing through a power cable contains the secret information of a cryptographic module that allows an attacker to eavesdrop from a remote location. Mode conversion conveys secret information as side-channel information from the normal-mode noise to the common-mode current at the connector section where the imbalance factor between the power cable and the trace on a power d...Show More
During the maximum power point tracking (MPPT) operation of photovoltaics (PV), the operating point is locked at the maximum and there is no margin for active power reserve. This operation restrains the photovoltaics from participating in ancillary services. Thus, the flexible power point tracking (FPPT) operation is becoming more popular amongst PV researchers as this operates the PVs below the m...Show More
With the rapid growth of grid load, the length of transmission lines is increasing year by year. The contradiction between the increase in overhead transmission line operation and maintenance workload and the shortage of personnel has become increasingly prominent. UAV autonomous inspections are more and more widely used in transmission line inspections. However, the current point cloud collection...Show More
With the development of computer science and artificial intelligence, the industrial field is gradually becoming unmanned. In this paper, a 3D point cloud image is created with an RGBD camera, the scene is restored through dense 3D reconstruction, and then the color information in the 3D point cloud image is recognized to obtain the 3D coordinates of the area to be painted. Finally, the coordinate...Show More
Incomplete regions in the 3D human face point cloud cause performance degradation in many applications such as human face recognition, classification, segmentation, upsampling, etc. Many methods have been studied to the completion of missing regions in different categories of datasets. However, it is a challenging task to estimate the incomplete regions in the 3D human face point cloud dataset owi...Show More
The objective of this paper is to improve the performance of limited power point tracking (LPPT) of photovoltaic plants. The limited power point tracking refers to controlling the power output of a photovoltaic array at a level below the maximum power point. The limited power point tracking exhibits advantages over maximum power point tracking (MPPT) both in terms of economy and system security. T...Show More
In order to meet the demand of container transportation in port and realize the automation of container stacking function by stacker height machine, this paper proposes a container position detection method based on three-dimensional vision. Firstly, the container lock hole point cloud data is collected by depth camera, and then the discrete points are eliminated by using point cloud straight pass...Show More
Point cloud carries rich geometric information and has unique advantages in computer vision field. Existing methods can effectively identify objects in a fixed perspective, but in practical, the object direction is unknown, which greatly affects the accuracy of the network. In this paper, we propose a pre-network based on ellipsoid fitting algorithm to extract rotation invariant features of point ...Show More
In order to solve the problems of poor accuracy and low efficiency of manual modeling of converter transformer, a set of 3D reconstruction process based on point cloud equipment was proposed. It is verified that the completeness of the data collected by laser scanning technology for converter station equipment point clouds can reach 99.2% with a 50% sampling overlap rate. The RANSAC point cloud co...Show More
The detection of oblique wedge is a crucial task in the detection and repair of railway freight car bogies, which involves multiple inspection items. Among them, the wear degree of rubbing surface directly affects the damping effect and stability of the train, which is a very important inspection item. the exiting method is the manual measurement that uses the non-standard measuring tools and visu...Show More
The detection of sidewall protrusions in highway tunnel is significant for the intelligent cleaning of tunnel walls. An automatic detection method for sidewall protrusions based on LiDAR in the scene of long curved tunnel walls is proposed in this paper. First, the ground point clouds are removed by using cloth simulation filter (CSF) algorithm. Then, the obstacles point clouds are clustered by co...Show More
Photovoltaic (PV) systems have grown rapidly in the renewable energy sector and to enhance their performance various PV cell manufacturing technologies have been developed in the past couple of years, one such technology is the bifacial PV technology. The bifacial module produces more power than a traditional PV module. The PV system's output varies daily depending on temperature and irradiance le...Show More
3D reconstruction is the transformation of real objects into mathematical models. By using 3D models, we can observe the shape and measure the parameters, and help us to analyze the properties of objects. For the problems of incompleteness and inefficiency in the reconstruction of object 3D point clouds, a fast and automated system for panoramic 3D point cloud reconstruction of objects was propose...Show More
This paper presents a performance enhancement of a permanent magnet synchronous generator (PMSG) system with control of generator-side converter for a wind turbine application. This method uses zero d-axis stator current control to minimize winding losses of the generator. The electromagnetic torque of the generator is correlated with the magnitude of the q-axis stator current, while the d-axis st...Show More
This paper presents a novel load-side maximum power point tracker using a multiple step difference algorithm. This technique maximizes the power into any given load using a current-mode, load-side controller under various insolation levels. MATLAB/Simulink was used for simulation studies using a normalized, heuristic, photovoltaic model while an off-the-shelf, four-switch buck-boost converter was ...Show More
In the context of promoting digital city infrastructure, achieving precise three dimension (3D) modeling of buildings has become increasingly vital. Oblique photogrammetry serves as a primary method for large-scale urban modeling. However, due to limitations in the capture angles and photo quality, the model generated by oblique photogrammetry often has some holes in the side of the building and t...Show More
In order to meet safety and stability grid-connected requirementsof high-power offshore wind turbines, the 10 MW wind power generation system composed of medium voltage six phase permanent magnet synchronous generator (MVSPMSG) and distributed neutral point clamped (NPC) converter is adopted. On the basis, a maximum power point tracking control (MPPT) method of 10 MW MVSPMSG based on neutral point...Show More
Nowadays, the three-level T-type inverters are extensively applied for photovoltaic (PV) generation systems. The neutral-point voltage of the T-type inverter may is subjected to low-frequency oscillation which causes output current distortion and disrupts the maximum power point tracking (MPPT) process of PV panels. In this paper, a new hybrid modulation is proposed to suppress the neutral-point v...Show More
The power supply of the commercial aerospace microsatellite pursues a cost-effective system. To realize the intelligent autonomous control and management, a set of integrated MPPT control and online monitoring system based on DSP and LabVIEW is designed and developed, which consists of three parts: Superbuck charging module, MPPT control unit and monitoring unit. First, the Superbuck charging modu...Show More
Drivers still rely on their judgment and operation when driving on unstructured roads under poor lightening conditions due to the shortage of machine vision. Thus, there is a growing demand for improving the driverless technology on unstructured roads. In order to solve the conflict between cost of sensors and accuracy of detection results, this paper proposes a method that filtering non-road poin...Show More
With the development of SLAM technology, many excellent SLAM algorithms have emerged, categorized into visual and laser SLAM, among others, based on the application scenario. This paper adopts the ORB-SLAM3 algorithm framework from visual SLAM. It optimizes the sparse point cloud data output by this algorithm, integrating reconstruction algorithms to ultimately produce visualized 3D dense point cl...Show More
LiDAR (Light Detection And Ranging) technology is increasingly and widely used because it can directly obtain high-density 3D geographic data. LiDAR can be carried on different platforms, such as aircraft, vehicle, ship, ground-based and portable platforms. Each platform acquisition method has certain applicable conditions. With the deepening of application, multiple platforms are often required t...Show More
In order to improve the automation degree and container loading and unloading efficiency of quayside container cranes, an automatic container lock pin unloading method based on 3D point cloud data processing -was proposed. The target object is scanned by the line laser sensor to obtain the point cloud structure, and the optimized filtering algorithm is used to denoise the point cloud data. The act...Show More