检索结果-内蒙古大学图书馆

作者： Chukun Luo Shaozhong Cao Changbo Xu Ning Zhao Beijing Institute of Graphic Communication

Aiming at the problem of inaccurate number of bagged medicines in the packing boxes of the medicine production line, a method for counting medicine bags based on machine vision is *** method firstly performs grayscale, image scaling, cropping,threshold segmentation and other operations on the Medicine bags images, and retains the part of the image that can effectively detect the number of pill bags, and then performs image refinement processing on it to extract the pill bag skeleton in the image. Through the feature analysis of the refined images, a multi-region target statistical counting method is proposed, and finally the number of medicine bags in the medicine box image is detected. Experimental results show that this design has high accuracy and speed for detecting the number of medicine bags in the medicine box, so this design is feasible.

关键词： Machine vision refinement algorithm Statistical algorithm of multi-region medicine bags

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Multi-Level refinement algorithm of Weighted Hypergraph Partitioning Problem

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JOURNAL OF INTELLIGENT SYSTEMS 2017年第3期26卷 407-420页

作者： Leng, Ming Sun, Ling-yu Guo, Kai-qiang Jinggangshan Univ Key Lab Watershed Ecol & Geog Environm Monitoring NASG Jian Jiangxi Peoples R China

The formal description of weighted hypergraph partitioning problem is presented. We describe the solution of the weighted hypergraph partitioning problem based on the multi-level method. We propose the multi-level discrete particle swarm optimization refinement algorithm, whose each particle's position in vertical bar V vertical bar-dimensional can be considered as the corresponded partitioning. During the refinement process of the uncoarsening phase, the algorithm projects successively each particle's corresponded partitioning back to the next-level finer hypergraph, and the degree of particle's freedom increases with the increase in solution space's dimension. The algorithm also regards the gain of vertex as particle information for the heuristic search and successfully searches the solution space based on the intelligent behavior between individuals' collaboration. Furthermore, the improved compressed storage format of weighted hypergraph is presented and the two-dimensional auxiliary array is designed for counting the vertices of each hypergraph in different partitions. The rapid method of calculating the vertex's gain and the cut's size are proposed to avoid traversing each vertex of hyperedge and reduce the algorithm's time complexity and space complexity. Experimental results show that the algorithm not only can find the better partitioning of weighted hypergraph than the move-based method but also can improve the search capability of the refinement algorithm.

关键词： Weighted hypergraph partitioning algorithm multilevel method refinement algorithm

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A New Procedure for Optimal Design of District Metered Areas Based on the Multilevel Balancing and refinement algorithm

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WATER RESOURCES MANAGEMENT 2015年第12期29卷 4397-4409页

作者： Alvisi, S. Univ Ferrara Dept Engn I-44122 Ferrara Italy

A procedure for optimal design of District Metered Areas (DMAs) within a water distribution network based on a multilevel balancing and refinement algorithm to partition the network and determine the optimal meter positions, coupled with a pressure driven hydraulic simulator to quantify the hydraulic performance of the districtualized system, is presented. Unlike other procedures based on graph partitioning techniques proposed in the scientific literature, the two main issues involved in the design of the DMAs, namely a) how to partition the nodes into the required number of districts, and b) which pipes linking districts to leave open, and fitted with an assigned number of flow meters, and which to close, are simultaneously resolved. The application of this procedure to a real case shows that this approach provides design solutions well adapted to different numbers of measuring points, yielding superior performance indicator values to similar procedures reported in the literature and used here for comparative purposes.

关键词： District metered area Water distribution system Multilevel balancing refinement algorithm

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Convergence analysis of subdivision processes on the sphere

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IMA JOURNAL OF NUMERICAL ANALYSIS 2022年第1期42卷 698-711页

作者： Huening, Svenja Wallner, Johannes Graz Univ Technol Inst Geometrie Kopernikusgasse 24 A-8010 Graz Austria

We analyse the convergence of nonlinear Riemannian analogues of linear subdivision processes operating on data in the sphere. We show how for curve subdivision rules we can derive bounds guaranteeing convergence if the density of input data is below that threshold. Previous results only yield thresholds that are several magnitudes smaller and are thus useless for a priori checking of convergence. It is the first time that such a result has been shown for a geometry with positive curvature and for subdivision rules not enjoying any special properties like being interpolatory or having non-negative mask.

关键词： refinement algorithm approximation theory differential geometry

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RESEARCH AND APPLICATION OF IMPROVED algorithm BASED ON SPECTRAL INTENSITY 16

RESEARCH AND APPLICATION OF IMPROVED ALGORITHM BASED ON SPEC...

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16th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA)

作者： Yao, Xinqiang Li, Tong Guo, Xun Cao, Jingquan Tianjin Earthquake Agcy Tianjin Peoples R China Inst Disaster Prevent Key Lab Bldg Damage Mech & Def Langfang Peoples R China

ISBN: (纸本)9798350320800

In this paper, an improved algorithm based on Housner spectral intensity is proposed. The upper and lower limit time range of the equation is adjusted to 0.1s similar to 10.1s. At the same time, the equation of spectral intensity value is divided into six categories. The spectral intensity value is calculated according to the range of lgSI(0.2) calculated. Finally, the ordinary Kriging interpolation method is used to draw the spectral intensity contour map. The improved method proposed in this paper establishes a continuous function relationship between the acceleration time-history integral of ground motion and the spectral intensity. Through the comparison and verification of two earthquakes, the spectral intensity contour map obtained by the improved algorithm is consistent with the overall change trend of the macroscopic intensity map, and has a good corresponding relationship. It has certain reliability and accuracy, and can provide scientific data support for post-disaster emergency rescue and decision deployment.

关键词： Spectral intensity Macroscopic intensity Ordinary Kriging interpolation refinement algorithm

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A Novel algorithm based on mathematical morphology to detect degeneration of spinal images in MRI 11

A Novel algorithm based on mathematical morphology to detect...

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11th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Parallel Processing of Images and Optimization Techniques;and Medical Imaging

作者： Yang, Minjun Hong, Juan Tang, Xiaoyue Lee, Yaqin Wuhan Polytech Univ Sch Math & Comp Sci Wuhan Hubei Peoples R China

ISBN: (纸本)9781510636408

Recently, diagnosis, therapy and monitoring of human diseases involve a variety of imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), Ultrasound (US) and Positron-emission tomography (PET) as well as a variety of modern optical techniques. The degeneration of lumbar intervertebral disc has become a common disease in modern society. Currently, the most commonly used method is the diagnostic grade based on MRI technology, among which Pfinmann grading system is most widely used in clinic. The Pfinmann grading system is mainly based on the measurement of the average height of the lumbar intervertebral disc and the intensity of the signal of the nucleus pulposus and the inner and outer edge of the fiber ring in MR images. With the degeneration of the intervertebral disc, the signal of the inner and outer edge of the annulus also decreases, so the error caused by the method of measuring the average height of the lumbar intervertebral disc is larger. Therefore, we proposed an algorithm based on morphology to detect lumbar intervertebral disc in MRI spinal images. First, the median filter is used to remove noise in MRI and then the lumbar intervertebral disc is extracted through morphological processing. Then, the image is smoothed by combining with gaussian filtering. Finally, the result map of lumbar intervertebral disc is obtained and its area is calculated. In the analysis and comparison of the detection results of the lumbar intervertebral disc, the skeleton extraction diagram of the detection results of the lumbar intervertebral disc was obtained after processing the image of the detection results of the lumbar intervertebral disc with the thinning algorithm. According to the analysis, the degree of laminar disc skeleton and upper and lower vertebral body is as high as 90%. This paper also briefly introduces the application direction of this measurement algorithm in medicine: 1. Improve doctors' ability to detect early lumbar disc

关键词： Median Filter Morphology Gaussian Smoothing refinement algorithm Detect Lumbar Disc Degeneration

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A Path Planning algorithm for Mobile Robot with Restricted Access Area

A Path Planning Algorithm for Mobile Robot with Restricted A...

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作者： Youpan Zhang Tao Sun Hui Zhang Haiying Liu Lixia Deng Yongguo Zhao School of Electrical Engineering and Automation Qilu University of Technology (Shandong Academy of Science) Academy of Advanced Interdisciplinary Studies Qilu University of Technology (Shandong Academy of Science) Institute of Automation Qilu University of Technology(Shandong Academy of Sciences)

In the actual path planning of the mobile robot, the algorithm planning of the robot is almost always to find the shortest path, but if the robot is in a narrow working environment with many corners, it will make the robot too close to the obstacle, and the robot's edge will contact with the obstacle,resulting in the path planning failure. In order to solve the security problem of mobile robot path planning, we put forward a kind of inflation obstacles,refinement algorithm first determine skeleton and area of the mobile robot on the map, and then the refinement algorithm can get skeleton to improve traffic area,connected to the path of starting point and end point, define the passage *** by searching the first and second nodes, we can find the optimal path that accords with the safety of the robot. The new path planning algorithm can realize non-collision planning, improve the safety and stability of the robot, and verify its effectiveness and authenticity through simulation results.

关键词： Mobile robot Path planning Qualified pass refinement algorithm

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An Enhanced Distributed Localization algorithm Based on MDS-MAP in Wireless Sensor Networks

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INTERNATIONAL JOURNAL OF ONLINE ENGINEERING 2017年第3期13卷 27-39页

作者： Zhang, Lu Wang, Hailun Hu, Zhiyong Wang, Deyong Quzhou Univ Sch Elect & Informat Engn Quzhou Peoples R China Wuhan Univ Technol Sch Comp Sci & Technol Wuhan Peoples R China Dalian Air Force Sergeant Sch Commun Dept Radio Nav Dalian Peoples R China Wuhan Univ Technol Sch Comp Pingdingshan Ind Collage Technol Wuhan Peoples R China Wuhan Univ Technol Sch Resource & Environm Sci Wuhan Peoples R China

The classical MDS-MAP algorithm is a centralized algorithm, with an increase in nodes, the algorithm attains a high degree of complexity. In order to solve the shortcomings of the positioning accuracy and the computational complexity of the matrix in the classical MDS-MAP algorithm, an enhanced distributed MDS-MAP localization algorithm was designed and realized (EMDS-MAP(D)). The EMDS-MAP(D) algorithm does not need auxiliary hardware facilities, and can be used for the local computation of nodes, thereby reducing the amount of computation and communication. It is suitable for a shielding environment. The algorithm calculates the coordinates of relative nodes without the anchor node, only transformation absolute coordinates need a Global Positioning System (GPS) to locate a certain amount of coordinates (usually less than 10) and the number of the positioning coordinates does not depend on the size of the network. Theoretical analysis and simulation experimental results show that EMDS-MAP(D) can realize distributed computing and improve the positioning accuracy of the node.

关键词： Multi-Dimensional Scaling-MAP algorithm(MDS-MAP) Enhanced Distributed MDS-MAP localization algorithm(EMDS-MAP(D)) Wireless Sensor Networks Distance Measurement refinement algorithm

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Mit :: Lcs :: Tm :: Mit-Lcs-Tm-561

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2016年

Mit :: Lcs :: Tm :: Mit-Lcs-Tm-561 by published by

关键词： algorithm algorithms camera camera pose counting algorithm estimates fundamental matrix high incidence incidence incidence counting matches mit-lcs-tm-561 objective function partial derivatives pose pose estimates pose refinement rays refinement refinement algorithm rotations

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Accuracy refinement algorithm for mobile target location tracking by radio signal strength indication approach

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2008年第7期E91A卷 1659-1665页

作者： Lau, Erin-Ee-Lin Chung, Wan-Young Dongseo Univ Grad Sch Design & IT Dept Ubiquitous IT Pusan 617716 South Korea Dongseo Univ Div Comp & Informat Engn Pusan 617716 South Korea

A novel RSSI (Received Signal Strength Indication) refinement algorithm is proposed to enhance the resolution for indoor and outdoor real-time location tracking system. The proposed refinement algorithm is implemented in two separate phases. During the first phase, called the pre-processing step, RSSI values at different static locations are collected and processed to build a calibrated model for each reference node. Different measurement campaigns pertinent to each parameter in the model are implemented to analyze the sensitivity of RSSI. The propagation models constructed for each reference nodes are needed by the second phase. During the next phase, called the runtime process, real-time tracking is performed. Smoothing algorithm is proposed to minimize the dynamic fluctuation of radio signal received from each reference node when the mobile target is moving. Filtered RSSI values are converted to distances using formula calibrated in the first phase. Finally, an iterative trilateration algorithm is used for position estimation. Experiments relevant to the optimization algorithm are carried out in both indoor and outdoor environments and the results validated the feasibility of proposed algorithm in reducing the dynamic fluctuation for more accurate position estimation.

关键词： Received Signal Strength Indication (RSSI) refinement algorithm location tracking smoothing algorithm position estimation

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