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Journal articles on the topic 'Method of local windows'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Wu, Juan, and Min Bai. "Adaptive rank-reduction method for seismic data reconstruction." Journal of Geophysics and Engineering 15, no. 4 (2018): 1688–703. http://dx.doi.org/10.1093/jge/aabc74.

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Abstract Seismic data reconstruction plays an important role in the whole seismic data processing and imaging workflow, especially for those data that are acquired from severe field environment and are missing a large portion of the reflection signals. The rank-reduction method is considered to be a very effective method for interpolating data that are of small curvature, e.g. the post-stack data. However, when the data are more complicated, the rank-reduction method may fail to achieve acceptable performance. A useful strategy is to use local windows to process the data so that the data in ea

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2

Afandizadeh Zargari, Shahriar, Amirmasoud Memarnejad, and Hamid Mirzahossein. "A Structural Comparison between the Origin-Destination Matrices Based on Local Windows with Socioeconomic, Land-Use, and Population Characteristics." Journal of Advanced Transportation 2021 (June 12, 2021): 1–17. http://dx.doi.org/10.1155/2021/9968698.

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The origin-destination (OD) matrices express the number and the pattern of trips distributed between OD pairs. OD matrix structural comparison can be used to identify different mobility patterns in the cities. A comparison of two OD matrices could express their difference from both numerical and structural aspects. Limited methods, such as the mean structural similarity (MSSIM) index and geographical window-based structural similarity index (GSSI), have been developed to compare the structural similarity (SSIM) of two matrices. These methods calculate the structural similarities of two OD matr

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Zhou, Shenghan, Houxiang Liu, Bang Chen, et al. "Status Set Sequential Pattern Mining Considering Time Windows and Periodic Analysis of Patterns." Entropy 23, no. 6 (2021): 738. http://dx.doi.org/10.3390/e23060738.

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The traditional sequential pattern mining method is carried out considering the whole time period and often ignores the sequential patterns that only occur in local time windows, as well as possible periodicity. Therefore, in order to overcome the limitations of traditional methods, this paper proposes status set sequential pattern mining with time windows (SSPMTW). In contrast to traditional methods, the item status is considered, and time windows, minimum confidence, minimum coverage, minimum factor set ratios and other constraints are added to mine more valuable rules in local time windows.

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Wu, Wenhuan, Xi Xu, Wenshu Wang, and Haokun Zhang. "Stereo Matching Method with Cost Volume Collaborative Filtering." Electronics 13, no. 15 (2024): 3095. http://dx.doi.org/10.3390/electronics13153095.

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Aiming at the problem of matching ambiguity and low disparity accuracy at the object boundary in stereo matching, a novel stereo matching algorithm with cost volume collaborative filtering is proposed. Firstly, for each pixel, two support windows are built, namely a local cross- support window as well as a global support window for the whole image. Secondly, a new adaptive weighted guide filter with a cross-support window as a kernel window is derived, and it is used to locally filter the cost volume. In addition, a minimum spanning tree is constructed in the whole image window, and then the m

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Zhuang, Di, Lamei Zhang, and Bin Zou. "An Interferogram Re-Flattening Method for InSAR Based on Local Residual Fringe Removal and Adaptively Adjusted Windows." Remote Sensing 15, no. 8 (2023): 2214. http://dx.doi.org/10.3390/rs15082214.

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InSAR technology uses the geometry between antennas and targets to obtain DEM and deformation; therefore, accurate orbit information, which can provide reliable geometry, is the prerequisite for InSAR processing. However, the orbit information provided by some satellites may be inaccurate. Further, this inaccuracy will be reflected in the interferogram and will be difficult to remove, finally resulting in incorrect results. More importantly, it was found that the residual fringes caused by inaccurate orbit information vary unevenly throughout the whole image and cannot be completely removed by

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Jin, Hu, George A. McMechan, and Huimin Guan. "Comparison of methods for extracting ADCIGs from RTM." GEOPHYSICS 79, no. 3 (2014): S89—S103. http://dx.doi.org/10.1190/geo2013-0336.1.

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Methods for extracting angle-domain common-image gathers (ADCIGs) during 2D reverse-time migration fall into three main categories; direction-vector-based methods, local-plane-wave decomposition methods, and local-shift imaging condition methods. The direction-vector-based methods, which use either amplitude gradients or phase gradients, cannot handle overlapping events because of an assumption of one propagation direction per imaging point per imaging time; however, the ADCIGs from the direction-vector-based methods have the highest angle resolution. A new direction-vector-based method using

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Asgharian Pournodrati, Lida, Mohammad Mahdi Baba, Jannis Gangelhoff, and Uwe Sörgel. "Multi-scale Transformer-based classification of bathymetric LiDAR data in shallow water environments." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W10-2025 (July 7, 2025): 1–6. https://doi.org/10.5194/isprs-archives-xlviii-2-w10-2025-1-2025.

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Abstract. Bathymetric LiDAR data plays a crucial role in mapping underwater topography, enabling applications in coastal monitoring, environmental assessment, and seabed classification. However, the inherent complexity and noise in 3D bathymetric point clouds pose challenges for accurate classification. To address this, we propose a voxel-based method for efficient classification of bathymetric LiDAR data, moving beyond traditional point-wise processing of unstructured point sets. In our approach, 3D points are aggregated into structured voxel grids, and their features are embedded within each

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Zhang, Ke, Haixu Jiang, and Jingyu Wang. "A Sliding Window Optimal Tracking Differentiator Filtering Method for Satellite Telemetry Data." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, no. 3 (2020): 515–22. http://dx.doi.org/10.1051/jnwpu/20203830515.

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The initial satellite telemetry data acquired by ground stations usually contain noise and outlier interference. In order to ensure the accurate analysis of satellite status, the telemetry data need to be filtered. In this paper, a sliding window optimal tracking differentiator filtering (SWOTDF) method for satellite telemetry data is proposed. Aiming at the problem of parameter selection during the filtering of the optimal tracking differentiator, the amplitude-frequency characteristics of the maximum tracking differentiator are analyzed by sine sweep frequency method, and the mapping relatio

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Hu, Zhifeng, Gang Xu, Ling Chen, Nana Fu, and Shuzhan Zhen. "Error matching elimination based on a local affine algorithm." Journal of Physics: Conference Series 2216, no. 1 (2022): 012075. http://dx.doi.org/10.1088/1742-6596/2216/1/012075.

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Abstract Aiming at the shortcomings of orb algorithm using the traditional RANSAC (random sampling consistency) algorithm to eliminate mismatches, such as the high number of iterations when the sample size is large, and the proportion of error points also affects the fitting accuracy of the traditional algorithm, a rough and fine method to eliminate mismatches is proposed; The threshold screening method is used to select the optimal threshold and preliminarily eliminate a large number of wrong matching pairs to achieve the effect of rough elimination; Then the sub-window method is used to calc

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Song, Jiasen, Guohui Feng, Kailiang Huang, Wen Sun, and Yixian Zhang. "Study on window-opening habit of urban residential buildings in Liaoning province." E3S Web of Conferences 356 (2022): 01042. http://dx.doi.org/10.1051/e3sconf/202235601042.

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Residents' window-opening behavior is the most basic method to obtain fresh air and improve the indoor environment, and is also an important factor affecting building energy consumption. The behavior of opening and closing windows of urban residents will be different due to regional differences. However, there are less of the thorough enough research on the time and seasonal habit of residents’ window-opening behavior in Liaoning. This paper investigated the window-opening behavior and its influencing factors of 28 typical urban households in natural ventilation and mechanical ventilation hous

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Jiang, Yanting, Jia Yan, Ci’en Fan, Wenxuan Shi, and Dexiang Deng. "An improved real-time object proposals generation method based on local binary pattern." International Journal of Advanced Robotic Systems 14, no. 4 (2017): 172988141772467. http://dx.doi.org/10.1177/1729881417724679.

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Generating a group of category-independent proposals of objects in an image within a very short time is an effective approach to accelerate traditional sliding window search, which has been widely used in preprocessing step of object recognition. In this article, we propose a novel object proposals generation method to produce an order set of candidate windows covering most of object instances. With combination of gradient and local binary pattern, our approach achieves better performance than BING in finding occluded objects and objects in dim lighting conditions. In experiments on the challe

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Rashidi, P., and H. Rastiveis. "GROUND FILTERING LiDAR DATA BASED ON MULTI-SCALE ANALYSIS OF HEIGHT DIFFERENCE THRESHOLD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W4 (September 27, 2017): 225–29. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w4-225-2017.

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Separating point clouds into ground and non-ground points is a necessary step to generate digital terrain model (DTM) from LiDAR dataset. In this research, a new method based on multi-scale analysis of height difference threshold is proposed for ground filtering of LiDAR data. The proposed method utilizes three windows with different sizes in small, average and large to cover the entire LiDAR point clouds, then with a height difference threshold, point clouds can be separated to ground and non-ground in each local window. Meanwhile, the best threshold values for size of windows are considered

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Li, Zhengrong, Yang Si, Qun Zhao, and Xiwen Feng. "A New Method of Building Envelope Thermal Performance Evaluation Considering Window–Wall Correlation." Energies 16, no. 19 (2023): 6927. http://dx.doi.org/10.3390/en16196927.

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This study proposes a new method to accurately evaluate the overall building envelope thermal performance considering the window–wall correlation, providing a new tool for building thermal design. Firstly, a non-stationary room heat transfer model is established based on the Resistance-Capacity Network method. The influence of solar heat gain through the windows on the heat transfer process of the walls in the actual environment is considered, and the room’s integrated thermal resistance and integrated heat capacity indexes describing the overall room thermal resilience performance are propose

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Hardy, H. H., Richard A. Beier, and Jonathan D. Gaston. "Frequency estimates of seismic traces." GEOPHYSICS 68, no. 1 (2003): 370–80. http://dx.doi.org/10.1190/1.1543222.

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Local estimates of amplitude, frequency, and phase have been used in the past to characterize seismic data. In particular, these attributes have sometimes been successfully related to well attributes at the reservoir scale (net pay thickness, sand fraction, etc.). This paper introduces a method called SINFIT for computing local amplitude, frequency, and phase estimates of seismic traces over short‐time windows. The SINFIT method uses a sine‐curve fitting approach. The method is shown to give more accurate and robust frequency estimates than four other common methods on a set of test traces whe

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15

Liao, Ronghao, Guangyuan Wu, and Yuheng Wu. "Adaptive window-based multispectral image demosaicking method using pseudo-panchromatic image." Laser Physics Letters 22, no. 4 (2025): 045202. https://doi.org/10.1088/1612-202x/adbd1a.

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Abstract Multispectral image demosaicking is a challenging problem for single-sensor multispectral imaging systems with the multispectral filter array. In this paper, we propose an adaptive window-based multispectral image demosaicking method using a pseudo-panchromatic image (PPI). This method aims to use the spectral correlation between channels to recover the missing pixels in the mosaic image. First, a set of weighted average filters based on adaptive sparse windows is used to generate a PPI from the mosaic image. Then, the guided filtering window is adaptively adjusted according to the di

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Casas-Alvarado, Alejandro, Julio Martínez-Burnes, Patricia Mora-Medina, et al. "Thermal and Circulatory Changes in Diverse Body Regions in Dogs and Cats Evaluated by Infrared Thermography." Animals 12, no. 6 (2022): 789. http://dx.doi.org/10.3390/ani12060789.

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Infrared thermography (IRT) has been proposed as a method for clinical research to detect local inflammatory processes, wounds, neoplasms, pain, and neuropathies. However, evidence of the effectiveness of the thermal windows used in dogs and cats is discrepant. This review aims to analyze and discuss the usefulness of IRT in diverse body regions in household animals (pets) related to recent scientific evidence on the use of the facial, body, and appendicular thermal windows. IRT is a diagnostic method that evaluates thermal and circulatory changes under different clinical conditions. For the f

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17

Zhang, Yinghua, and Wei Hou. "Vision Transformer with hierarchical structure and windows shifting for person re-identification." PLOS ONE 18, no. 6 (2023): e0287979. http://dx.doi.org/10.1371/journal.pone.0287979.

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Extracting rich feature representations is a key challenge in person re-identification (Re-ID) tasks. However, traditional Convolutional Neural Networks (CNN) based methods could ignore a part of information when processing local regions of person images, which leads to incomplete feature extraction. To this end, this paper proposes a person Re-ID method based on vision Transformer with hierarchical structure and window shifting. When extracting person image features, the hierarchical Transformer model is constructed by introducing the hierarchical construction method commonly used in CNN. The

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Guo, Aiying, Kai Shen, and Jingjing Liu. "FE-FAIR: Feature-Enhanced Fused Attention for Image Super-Resolution." Electronics 13, no. 6 (2024): 1075. http://dx.doi.org/10.3390/electronics13061075.

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Transformers have performed better than traditional convolutional neural networks (CNNs) for image super-resolution (SR) reconstruction in recent years. Currently, shifted window multi-head self-attention based on the swin transformer is a typical method. Specifically, the multi-head self-attention is used to extract local features in each window, and then a shifted window strategy is used to discover information interaction between different windows. However, this information interaction method needs to be more efficient and include some global feature information, which limits the model’s pe

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19

Chen, Ai Ling. "Logistics Distribution Vehicle Routing Problem with Time Windows." Advanced Materials Research 468-471 (February 2012): 2047–51. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.2047.

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Vehicle routing optimization problem is one of the major research topics in logistics distribution field. Suitable vehicle routing selection is vital to reduce the logistics cost. The paper presents a hybrid optimization method to solve the vehicle routing problem with time windows. In the hybrid optimization method, discrete particle swarm optimization algorithm is used to assign the customers on routes and simulated annealing (SA) algorithm to avoid becoming trapped in local optimum. The simulation results have shown that the proposed method is feasible and effective for the vehicle routing

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Bataineh, Bilal, Siti Norul Huda Sheikh Abdullah, and Khairuddin Omar. "An adaptive local binarization method for document images based on a novel thresholding method and dynamic windows." Pattern Recognition Letters 32, no. 14 (2011): 1805–13. http://dx.doi.org/10.1016/j.patrec.2011.08.001.

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Li, Xu, Zhengyan Liu, and Yan Zhang. "Research on Vehicle Routing Problem with Time Window based on Improved Genetic Algorithm." Scalable Computing: Practice and Experience 26, no. 1 (2025): 123–35. https://doi.org/10.12694/scpe.v26i1.3128.

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This article conducts a detailed study on the vehicle routing problem with time window constraints. We constructed an objective function for the vehicle routing problem with time windows, established a mathematical model, and proposed an improved genetic algorithm to solve the problem. The algorithm first constructs a chromosome encoding method, designs a heuristic initialization algorithm to generate a better initial population, and determines the fitness function. During the operation of the algorithm, selection, crossover, and mutation operations are designed to generate offspring populatio

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Sun, Yu, Xindong Guo, and Hua Yang. "Win-Former: Window-Based Transformer for Maize Plant Point Cloud Semantic Segmentation." Agronomy 13, no. 11 (2023): 2723. http://dx.doi.org/10.3390/agronomy13112723.

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Semantic segmentation of plant point clouds is essential for high-throughput phenotyping systems, while existing methods still struggle to balance efficiency and performance. Recently, the Transformer architecture has revolutionized the area of computer vision, and has potential for processing 3D point clouds. Applying the Transformer for semantic segmentation of 3D plant point clouds remains a challenge. To this end, we propose a novel window-based Transformer (Win-Former) network for maize 3D organic segmentation. First, we pre-processed the Pheno4D maize point cloud dataset for training. Th

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Hu, Shufan, Yonghui Zhao, Laura Valentina Socco, and Shuangcheng Ge. "Retrieving 2-D laterally varying structures from multistation surface wave dispersion curves using multiscale window analysis." Geophysical Journal International 227, no. 2 (2021): 1418–38. http://dx.doi.org/10.1093/gji/ggab282.

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SUMMARY The analysis of multistation surface wave records is of increasing popularity in imaging the structure of the Earth due to its robustness on dispersion measurement. Since the representation of multistation surface wave dispersion curves (DCs) is uncertain in laterally varying media, average information beneath the receiver array is assumed to be obtained by inverting the dispersion curves with a horizontally layered model. To retrieve a more realistic 2-D laterally varying structure, we present a multiscale window analysis of surface waves (MWASW) method for analysing 2-D active-source

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Koval, Vadym, Myroslav Zin, Liubov Kostyk, and Oleh Buniak. "Ensuring the energy efficiency of heat supply energy systems functioning by justifying the choice of glazing units for the external enclosing structures of buildings." Scientific journal of the Ternopil national technical university 110, no. 2 (2023): 57–67. http://dx.doi.org/10.33108/visnyk_tntu2023.02.057.

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The article is devoted to the further development and implementation of technologies that allow some considerable reducing energy consumption and, as a result, reduce greenhouse gas emissions. In Ukraine and abroad, a huge amount of heat is lost through the external enclosing structures of buildings. The largest specific heat losses occur through translucent enclosures, in particular, windows, the main elements of which are double-glazed windows. Today, manufacturers offer double-glazed windows, which are characterized by different costs and energy efficiency. The buyer does not know which dou

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Andrews, Ryan J., Julien Roche, and Walter N. Moss. "ScanFold: an approach for genome-wide discovery of local RNA structural elements—applications to Zika virus and HIV." PeerJ 6 (December 18, 2018): e6136. http://dx.doi.org/10.7717/peerj.6136.

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In addition to encoding RNA primary structures, genomes also encode RNA secondary and tertiary structures that play roles in gene regulation and, in the case of RNA viruses, genome replication. Methods for the identification of functional RNA structures in genomes typically rely on scanning analysis windows, where multiple partially-overlapping windows are used to predict RNA structures and folding metrics to deduce regions likely to form functional structure. Separate structural models are produced for each window, where the step size can greatly affect the returned model. This makes deducing

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Vlachos, Marios, and Evangelos Dermatas. "Finger Vein Segmentation from Infrared Images Based on a Modified Separable Mumford Shah Model and Local Entropy Thresholding." Computational and Mathematical Methods in Medicine 2015 (2015): 1–20. http://dx.doi.org/10.1155/2015/868493.

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A novel method for finger vein pattern extraction from infrared images is presented. This method involves four steps: preprocessing which performs local normalization of the image intensity, image enhancement, image segmentation, and finally postprocessing for image cleaning. In the image enhancement step, an image which will be both smooth and similar to the original is sought. The enhanced image is obtained by minimizing the objective function of a modified separable Mumford Shah Model. Since, this minimization procedure is computationally intensive for large images, a local application of t

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Cong, Ying, and Kai Zhu. "Research on Vehicle Path Planning Method with Time Windows in Uncertain Environments." World Electric Vehicle Journal 15, no. 12 (2024): 566. https://doi.org/10.3390/wevj15120566.

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With the growing complexity of logistics and the demand for sustainability, the vehicle routing problem (VRP) has become a key research area. Classical VRPs now incorporate practical challenges such as time window constraints and carbon emissions. In uncertain environments, where many factors are stochastic or fuzzy, optimization models based on uncertainty theory have gained increasing attention. A single-objective optimization model is proposed in this paper to minimize the total cost of VRP in uncertain environments, including fixed costs, transportation costs, and carbon emission costs. Pr

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Somkiat, Kosolsombat, and Ratanavilisagul Chiabwoot. "Modified ant colony optimization with selecting and elimination customer and re-initialization for VRPTW." Bulletin of Electrical Engineering and Informatics 11, no. 6 (2022): 3471~3482. https://doi.org/10.11591/eei.v11i6.3943.

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Vehicle routing problem with time windows (VRPTW) is a special kind of vehicle routing with adding time windows constraints and has a variety of applications in logistics. Many researchers have attacked the VRPTW by approximate solutions. Ant colony optimization (ACO) is a classical method to solve the VRPTW problem but the constraints of VRPTW are not used to consider customer selection. Most ACO-based optimization algorithms can suffer from the complexity of the VRPTW such as trapping in local optimum. In this paper, we present a novel ACO-based optimization method for VRPTW by using custome

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Yu, Fahong, Meijia Chen, Xiaoyun Xia, Dongping Zhu, Qiang Peng, and Kuibiao Deng. "Logistics Distribution Route Optimization With Time Windows Based on Multi-Agent Deep Reinforcement Learning." International Journal of Information Technologies and Systems Approach 17, no. 1 (2024): 1–23. http://dx.doi.org/10.4018/ijitsa.342084.

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Multi-depot vehicle routing problem with time windows (MDVRPTW) is a valuable practical issue in urban logistics. However, heuristic methods may fail to generate high-quality solutions for massive problems instantly. Thus, this article presents a novel reinforcement learning algorithm integrated with a multi-head attention mechanism and a local search strategy to solve the problem efficiently. The routing optimization was regarded as a vehicle tour generation process and an encoder-decoder was used to generate routes for vehicles departing from different depots iteratively. A multi-head attent

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Lakeev, Ivan Y. "STUDY OF SPATIAL DISTRIBUTION OF EARTH GRAVITATIONAL FIELD BY SPECTRAL WINDOW LIMITING METHOD." Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 25, no. 4 (2020): 37–44. http://dx.doi.org/10.33764/2411-1759-2020-25-4-37-44.

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The article shows how windows are formed by successively combining harmonics и into a separate group, which act as a lowpass or high harmonic bandpass filter. Manipulation of spectral window width allows to get information about the nature of gravity field spatial distribution in certain frequency ranges. The degree range of the harmonic window was selected so that the result was oriented towards the actual source of the gravity disturbance. Calculations of spectrozonal models of quasi-geoid field height of Western Siberia, Fennoscandia, and Central Russia territories with degree series limiti

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Zheng, Ying, Yuye Zhang, Ruichen Ding, Chunming Ma, and Xiuhong Li. "Fast and Robust Infrared Small Target Detection Using Weighted Local Difference Variance Measure." Sensors 23, no. 5 (2023): 2630. http://dx.doi.org/10.3390/s23052630.

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Infrared (IR) small-target-detection performance restricts the development of infrared search and track (IRST) systems. Existing detection methods easily lead to missed detection and false alarms under complex backgrounds and interference, and only focus on the target position while ignoring the target shape features, which cannot further identify the category of IR targets. To address these issues and guarantee a certain runtime, a weighted local difference variance measure (WLDVM) algorithm is proposed. First, Gaussian filtering is used to preprocess the image by using the idea of a matched

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Frolova, Anastasia A., and Sergey S. Landyrev. "Microclimate Parameters Evaluation for Spaces with Windows of Different Thermal Protection." Light & Engineering, no. 05-2021 (October 2021): 61–67. http://dx.doi.org/10.33383/2021-078.

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Radiation cold flows from the windows in the winter period play an important role in the formation of the room overall thermal microclimate. The compliance with the requirements of GOST 30494–2011 for the resulting temperature and the local asymmetry of the resulting temperature in the centre of the room, as well as the boundaries of its serviced area, is not subject to any verification during the expert examination of the building projects. The designers do not perform such a check due to the absence of a method for calculating the influence of the temperature of all surrounding surfaces on t

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Nasir, Muflah, Muhammad Shahid Farid, Zobia Suhail, and Muhammad Hassan Khan. "Optimal Thresholding for Multi-Window Computed Tomography (CT) to Predict Lung Cancer." Applied Sciences 13, no. 12 (2023): 7256. http://dx.doi.org/10.3390/app13127256.

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Lung cancer is the world’s second-largest cause of cancer mortality. Patients’ lives can be saved if this malignancy is detected early. Doctors, however, encounter difficulties in detecting cancer in computed tomography (CT) images. In recent years, significant research has been devoted to producing automated lung nodule detection methods that can help radiologists. Most of them use only the lung window in their analysis and generally do not consider the mediastinal windows, which, according to recent research, carry important information. In this paper, we propose a simple yet effective algor

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Fu, Wenwen, Zhihong An, Wendong Huang, Haoran Sun, Wenjuan Gong, and Jordi Gonzàlez. "A Spatio-Temporal Spotting Network with Sliding Windows for Micro-Expression Detection." Electronics 12, no. 18 (2023): 3947. http://dx.doi.org/10.3390/electronics12183947.

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Micro-expressions reveal underlying emotions and are widely applied in political psychology, lie detection, law enforcement and medical care. Micro-expression spotting aims to detect the temporal locations of facial expressions from video sequences and is a crucial task in micro-expression recognition. In this study, the problem of micro-expression spotting is formulated as micro-expression classification per frame. We propose an effective spotting model with sliding windows called the spatio-temporal spotting network. The method involves a sliding window detection mechanism, combines the spat

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Zurita-Valencia, Tomás, and Víctor Muñoz. "Characterizing the Solar Activity Using the Visibility Graph Method." Entropy 25, no. 2 (2023): 342. http://dx.doi.org/10.3390/e25020342.

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In this paper, the Sun and its behavior are studied by means of complex networks. The complex network was built using the Visibility Graph algorithm. This method maps time series into graphs in which every element of the time series is considered as a node and a visibility criterion is defined in order to connect them. Using this method, we construct complex networks for magnetic field and sunspots time series encompassing four solar cycles, and various measures such as degree, clustering coefficient, mean path length, betweenness centrality, eigenvector centrality and decay exponents were cal

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Zheng, Xiuqing, Zhiwu Liao, Shaoxiang Hu, Ming Li, and Jiliu Zhou. "Improving Spatial Adaptivity of Nonlocal Means in Low-Dosed CT Imaging Using Pointwise Fractal Dimension." Computational and Mathematical Methods in Medicine 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/902143.

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NLMs is a state-of-art image denoising method; however, it sometimes oversmoothes anatomical features in low-dose CT (LDCT) imaging. In this paper, we propose a simple way to improve the spatial adaptivity (SA) of NLMs using pointwise fractal dimension (PWFD). Unlike existing fractal image dimensions that are computed on the whole images or blocks of images, the new PWFD, named pointwise box-counting dimension (PWBCD), is computed for each image pixel. PWBCD uses a fixed size local window centered at the considered image pixel to fit the different local structures of images. Then based on PWBC

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Sernicula, Lorlyn, Melinda Manalo, Gryam Abner Niebre, Rajean Anastacio, Jhona Alagos, and Jason Sermeno. "A Study of a Local Search Engine for Desktop PCs using an Enhanced Boyer-Moore Algorithm." Journal of Innovative Technology Convergence 1, no. 2 (2019): 33–42. http://dx.doi.org/10.69478/jitc2019v1n2a05.

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The volume of digital information and documents stored on desktop computers and over the Internet has been rapidly increasing in the past few years. Thus, search algorithms, methods, and programs are becoming popular to help in finding the intended information or files. This study proposes a string-matching algorithm to improve the pattern-matching technique of the traditional Boyer-Moore (BM) search algorithm. The proposed enhanced BM algorithm simultaneously scans the text from both sides (left and right) using two windows wherein each window has a size that is equal to the pattern length.

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Zhao, Chun Zhi, Quan Jiang, Ping Zhao, and Li Ping Ma. "Selection of Building External Windows in Different Climatic Zones Based on LCA." Materials Science Forum 787 (April 2014): 184–94. http://dx.doi.org/10.4028/www.scientific.net/msf.787.184.

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The area of building external windows is about 30% of the total area in building envelope, but the energy loss of the external windows accounts for over 50% of the building energy. Building external windows is the weakest parts of insulation performance in building envelope. Based on the method of life cycle assessment (LCA), this article deeply surveys and analyzes the resource consumption, energy consumption and pollutant emissions of bridge-cut-off aluminum alloy windows, unplasticized polyvinyl chloride (PVC-U) windows and aluminum-wood composite windows. This article calculates five main

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Das, Hrishikesh, Bharat Krishnan, Galyna Melnychuk, and Yaroslav Koshka. "Local-Loading Effect in Low-Temperature Selective Epitaxial Growth of 4H-SiC by Halo-Carbon Method." Materials Science Forum 600-603 (September 2008): 163–66. http://dx.doi.org/10.4028/www.scientific.net/msf.600-603.163.

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In this work, the local-loading effect and its influence on the growth rate enhancement and the growth rate non-homogeneity is investigated during the halo-carbon low-temperature selective epitaxial growth (LTSEG) using an SiO2 mask. The average growth rate during the LTSEG can be more than three-times higher than in blanket epitaxy at the same growth conditions. Both the size of the LTSEG seed windows and the surrounding area covered with the mask determine the growth rate non-homogeneity. A model for predicting the growth rate distribution is suggested.

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Njuguna, S., P. Wyffels, and P. Wouters. "Assessing the measurement error of different methods used to calculate Pulse Pressure Variation." Acta Anaesthesiologica Belgica 73, Supplement 1 (2022): 11–19. http://dx.doi.org/10.56126/73.s1.24.

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Objective: To assess the measurement error of different methods used to calculate Pulse Pressure Variation. Background: Many studies have demonstrated the use of pulse pressure variation (PPV) as a predictor of fluid responsiveness as long as the limitations to its use are understood and respected. These limitations have proven a constraint in the use of PPV and various researchers have published methods of overcoming these constraints in daily practice. Different methods also exist to calculate PPV. This study aims to systematically calculate the measurement error of the different methods use

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Regan, Amelia C., Sreeram Jagannathan, and Xiubin Wang. "Mixed Global and Local Assignment Algorithms for Quasi-Dynamic Local Truckload Trucking Operations with Strict Time Windows." Transportation Research Record: Journal of the Transportation Research Board 1733, no. 1 (2000): 49–55. http://dx.doi.org/10.3141/1733-07.

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Examined are the trade-offs associated with local and global, but myopic, assignment heuristics for local truckload trucking operations such as those associated with drayage operations near intermodal facilities. These operations involve a combination of loads that are known at the beginning of the day and those that arrive dynamically throughout the day. Some of the dynamically arriving loads are revenue-generating moves, and others are trailer, chassis, or container repositioning moves. Because a significant fraction of the day’s loads are known a priori, dispatchers would like to be able to

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Xu, Ce, Zhenbang Xu, and Mingyi Xia. "Obstacle Avoidance in a Three-Dimensional Dynamic Environment Based on Fuzzy Dynamic Windows." Applied Sciences 11, no. 2 (2021): 504. http://dx.doi.org/10.3390/app11020504.

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This paper presents a real-time path planning approach for controlling the motion of space-based robots. The algorithm can plan three-dimensional trajectories for agents in a complex environment which includes numerous static and dynamic obstacles, path constraints, and/or performance constraints. This approach is extended based on the dynamic window approach (DWA). As the classic reactive method for obstacle avoidance, DWA uses an optimized function to select the best motion command. The original DWA optimization function consists of three weight terms. Changing the weights of these terms wil

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Luo, Fulin, Xi Chen, Xiuwen Gong, Weiwen Wu, and Tan Guo. "Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 4 (2024): 3972–80. http://dx.doi.org/10.1609/aaai.v38i4.28190.

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Coded aperture snapshot spectral imaging (CASSI) system is an effective manner for hyperspectral snapshot compressive imaging. The core issue of CASSI is to solve the inverse problem for the reconstruction of hyperspectral image (HSI). In recent years, Transformer-based methods achieve promising performance in HSI reconstruction. However, capturing both long-range dependencies and local information while ensuring reasonable computational costs remains a challenging problem. In this paper, we propose a Transformer-based HSI reconstruction method called dual-window multiscale Transformer (DWMT),

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Donias, Marc, Ciprian David, Yannick Berthoumieu, Olivier Lavialle, Sebastien Guillon, and Noomane Keskes. "New fault attribute based on robust directional scheme." GEOPHYSICS 72, no. 4 (2007): P39—P46. http://dx.doi.org/10.1190/1.2718605.

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We present a steered data-analysis approach to measure coherence for fault detection. In contrast with conventional coherence, which detects discontinuities without distinction, our approach aims to identify faults only. Assuming the local linearity of fault geometry, the method performs a continuity test using a steered data-analysis window over a set of dip/azimuth directions. A robust, selective directional continuity test is achieved by combining measures of coherence computed from a few aligned, steered windows. Finally, fault detection consists of finding the maximum directional response

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Tang, Qi, Wang Haixing, and Liu Qunpo. "Adaptive Threshold and Weighted Frequency Domain Histogram of Local Binary Patterns." Engineering and Technology Journal 9, no. 04 (2024): 3725–30. https://doi.org/10.5281/zenodo.10948874.

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Wire ropes are crucial load-bearing components in mining conveyance equipment, and machine vision is one of the methods used to assess the surface damage condition of wire ropes. In response to the light-sensitive nature of local binary patterns, which leads to issues such as differing feature values for similar textures and susceptibility to the influence of excessively large or small pixels within local windows, hindering the accurate reflection of window structure information and exacerbating the introduction of considerable feature noise, an investigation is conducted. To enhance the gradi

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Cui, Mingyue, Junhua Long, Mingjian Feng, Boyang Li, and Huang Kai. "OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (2023): 470–78. http://dx.doi.org/10.1609/aaai.v37i1.25121.

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Point cloud compression with a higher compression ratio and tiny loss is essential for efficient data transportation. However, previous methods that depend on 3D convolution or frequent multi-head self-attention operations bring huge computations. To address this problem, we propose an octree-based Transformer compression method called OctFormer, which does not rely on the occupancy information of sibling nodes. Our method uses non-overlapped context windows to construct octree node sequences and share the result of a multi-head self-attention operation among a sequence of nodes. Besides, we i

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Kosolsombat, Somkiat, and Chiabwoot Ratanavilisagul. "Modified ant colony optimization with selecting and elimination customer and re-initialization for VRPTW." Bulletin of Electrical Engineering and Informatics 11, no. 6 (2022): 3471–82. http://dx.doi.org/10.11591/eei.v11i6.3943.

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Vehicle routing problem with time windows (VRPTW) is a special kind of vehicle routing with adding time windows constraints and has a variety of applications in logistics. Many researchers have attacked the VRPTW by approximate solutions. Ant colony optimization (ACO) is a classical method to solve the VRPTW problem but the constraints of VRPTW are not used to consider customer selection. Most ACO-based optimization algorithms can suffer from the complexity of the VRPTW such as trapping in local optimum. In this paper, we present a novel ACO-based optimization method for VRPTW by using custome

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KHAYATZADEH, Negar, Gábor MÉSZÁROS, Birgit GREDLER, Urs SCHNYDER, Ino CURIK, and Johann SÖLKNER. "Estimation of local genetic ancestry in an admixed cattle population applying different methods." Acta agriculturae Slovenica. Suplement, no. 5 (September 18, 2016): 31–36. http://dx.doi.org/10.14720/aas-s.2016.5.18837.

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In current study, we estimated local genetic ancestry for Swiss-Fleckvieh dairy cattle population using two alternative approaches implemented in LAMP and MULTIMIX software. Swiss-Fleckvieh is a composite descending from Simmental and Red Holstein Friesian. Illumina BovineSNP50 Beadchip data for 485 animals were used. Genetic ancestries averaged across admixed animals indicated a high correlation of individual admixture at global levels (0.99), yet the correlation between genetic ancestries averaged across 7914 windows (5 SNPs each) was 0.55. The highest correlations of window-wise estimates w

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Bräysy, Olli, and Wout Dullaert. "A Fast Evolutionary Metaheuristic for the Vehicle Routing Problem with Time Windows." International Journal on Artificial Intelligence Tools 12, no. 02 (2003): 153–72. http://dx.doi.org/10.1142/s0218213003001162.

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This paper presents a new evolutionary metaheuristic for the vehicle routing problem with time windows. Ideas on multi-start local search, ejection chains, simulated annealing and evolutionary computation are combined in a heuristic that is both robust and efficient. The proposed method produces results that are on par with the current best solutions, at a fraction of the computation time needed by previous best approaches. Given the significantly lower time consumption over methods proposed previously in the literature, we consider our approach especially useful in dynamic routing problems, w

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Zhang, Dong, D. J. (Eric) Verschuur, Shan Qu, and Yangkang Chen. "Surface-related multiple leakage extraction using local primary-and-multiple orthogonalization." GEOPHYSICS 85, no. 1 (2019): V81—V97. http://dx.doi.org/10.1190/geo2019-0465.1.

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Accurate multiple removal remains an important step in seismic data processing sequences. Most multiple removal methods, such as surface-related multiple elimination (SRME), consist of a multiple prediction step and an adaptive subtraction step. Due to imperfect circumstances (e.g., coarse data sampling) or built-in assumptions (e.g., 2D method versus 3D data), multiple leakage is commonly observed in the results. More aggressive adaptive multiple subtraction can reduce the leakage problem, for example, by using small local windows and a long filter length, but at the risk of severely damaging

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