scholarly journals Seamless image stitching in the gradient domain

2019 ◽  
Vol 30 ◽  
pp. 04017
Author(s):  
Svetlana Devitsyna ◽  
Tatyana Balabanova
Keyword(s):  
Estimation Method ◽  
Computational Experiments ◽  
Image Stitching ◽  
Variational Derivative ◽  
Derivative Estimation ◽  
Gradient Domain ◽  
Different Types

The algorithm of seamless image stitching in the gradient domain based on the variational derivative estimation method. The functionality of this algorithm is confirmed by computational experiments with real images of different types.

scholarly journals АВТОМАТИЗАЦІЯ ПРОЦЕСУ СТВОРЕННЯ ЕСКІЗІВ НОВИХ МОДЕЛЕЙ ОДЯГУ В УМОВАХ МАЛИХ ПІДПРИЄМСТВ

2018 ◽  
Vol 118 (1) ◽  
pp. 16-23
Author(s):  
Д. В. Васильковський ◽  
Н. А. Цимбал
Keyword(s):  
Estimation Method ◽  
Automated Design ◽  
Women's Clothing ◽  
Expert Estimation ◽  
Graphic Editor ◽  
Study Results ◽  
Different Types ◽  
Female Figures ◽  
Clothing Manufacture

Improvement process of designing new models of women's clothing by automating sketch design in conditions of small sewing enterprises. Analysis of computer graphics programs possibilities; determination of meaningful indicators for determining the suitability of existing software by expert estimation method; approbation of the study results in the conditions of designer workplace. There have been created templates of graphic images of different types of female figures, libraries of modern materials textures, which are most often used for women's clothing manufacture. There has been developed the method of new model sketches creation of women's clothes with the use of figure templates and libraries of materials. An approach is proposed that generalizes and simplifies the process of adaptation of universal computer programs of vector graphics with the needs of automated design of new clothing models There has been developed a methodical support for the use of the universal graphic editor Xara Designer Pro on the AWS of a designer of a small sewing enterprise.

scholarly journals Seamless Image Stitching in the Gradient Domain

2004 ◽  
pp. 377-389 ◽  
Author(s):  
Anat Levin ◽  
Assaf Zomet ◽  
Shmuel Peleg ◽  
Yair Weiss
Keyword(s):  
Image Stitching ◽  
Gradient Domain

Enriching Agronomic Experiments with Data Provenance

2017 ◽  
Vol 8 (3) ◽  
pp. 21-38
Author(s):  
Sergio Manuel Serra da Cruz ◽  
Jose Antonio Pires do Nascimento
Keyword(s):  
Systematic Error ◽  
Statistical Data ◽  
Scientific Workflow ◽  
Computational Experiments ◽  
Data Provenance ◽  
Computational Approaches ◽  
Integration Platform ◽  
Workflow System ◽  
Scientific Experiments ◽  
Different Types

Reproducibility is a major feature of Science. Even agronomic research of exemplary quality may have irreproducible empirical findings because of random or systematic error. The ability to reproduce agronomic experiments based on statistical data and legacy scripts are not easily achieved. We propose RFlow, a tool that aid researchers to manage, share, and enact the scientific experiments that encapsulate legacy R scripts. RFlow transparently captures provenance of scripts and endows experiments reproducibility. Unlike existing computational approaches, RFlow is non-intrusive, does not require users to change their working way, it wraps agronomic experiments in a scientific workflow system. Our computational experiments show that the tool can collect different types of provenance metadata of real experiments and enrich agronomic data with provenance metadata. This study shows the potential of RFlow to serve as the primary integration platform for legacy R scripts, with implications for other data- and compute-intensive agronomic projects.

scholarly journals Building Deformation Prediction Based on Ground Surface Settlements of Metro-Station Deep Excavation

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Dapeng Li ◽  
Changhong Yan
Keyword(s):  
Estimation Method ◽  
Ground Surface ◽  
Surface Settlement ◽  
Deep Excavation ◽  
Torsional Deformation ◽  
Deformation Prediction ◽  
Metro Station ◽  
Different Types ◽  
Ground Surface Settlement ◽  
Surface Settlements

Building deformations are not only closely related to the distance from the building to metro-station excavation but also related to the relative positions of the building and metro-station excavation. Building deformations can be predicted using ground surface settlement profiles. Based on typical geological parameters of Nanjing metro-station excavation, ground surface settlements were numerically simulated by auxiliary planes perpendicular and parallel to the excavation and by angled auxiliary planes at the excavation corner. Results show that the ground surface settlement profiles in auxiliary planes are closely related to the relative positions of the auxiliary planes and the metro-station excavation. Partitioning of ground surface settlements was proposed according to the three types of ground surface settlement profiles; furthermore, bending deformation and torsional deformation regularities of surrounding buildings were analyzed, and an estimation method for building settlements was developed. Finally, field-monitored settlement data of 21 buildings in different zones were compared with the estimated settlement data, and the application of the settlement estimation method to different types of foundations was analyzed. The results of this study can serve as reference for metro-station deep excavation construction and protection of surrounding buildings.

scholarly journals Optimal Parameter Estimation Method for Different Types of Resonant Liquid Sensors

2014 ◽  
Vol 87 ◽  
pp. 1581-1584 ◽  
Author(s):  
Thomas Voglhuber-Brunnmaier ◽  
Martin Heinisch ◽  
Alexander O. Niedermayer ◽  
Ali Abdallah ◽  
Roman Beigelbeck ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Optimal Parameter ◽  
Estimation Method ◽  
Parameter Estimation Method ◽  
Optimal Parameter Estimation ◽  
Different Types

scholarly journals An Improved DBSCAN Method for LiDAR Data Segmentation with Automatic Eps Estimation

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 172 ◽  
Author(s):  
Chunxiao Wang ◽  
Min Ji ◽  
Jian Wang ◽  
Wei Wen ◽  
Ting Li ◽  
...  
Keyword(s):  
Data Processing ◽  
Point Cloud ◽  
Estimation Method ◽  
Point Clouds ◽  
Maximum Distance ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Data Segmentation ◽  
Different Types ◽  
Cloud Data Processing

Point cloud data segmentation, filtering, classification, and feature extraction are the main focus of point cloud data processing. DBSCAN (density-based spatial clustering of applications with noise) is capable of detecting arbitrary shapes of clusters in spaces of any dimension, and this method is very suitable for LiDAR (Light Detection and Ranging) data segmentation. The DBSCAN method needs at least two parameters: The minimum number of points minPts, and the searching radius ε. However, the parameter ε is often harder to determine, which hinders the application of the DBSCAN method in point cloud segmentation. Therefore, a segmentation algorithm based on DBSCAN is proposed with a novel automatic parameter ε estimation method—Estimation Method based on the average of k nearest neighbors’ maximum distance—with which parameter ε can be calculated on the intrinsic properties of the point cloud data. The method is based on the fitting curve of k and the mean maximum distance. The method was evaluated on different types of point cloud data: Airborne, and mobile point cloud data with and without color information. The results show that the accuracy values using ε estimated by the proposed method are 75%, 74%, and 71%, which are higher than those using parameters that are smaller or greater than the estimated one. The results demonstrate that the proposed algorithm can segment different types of LiDAR point clouds with higher accuracy in a robust manner. The algorithm can be applied to airborne and mobile LiDAR point cloud data processing systems, which can reduce manual work and improve the automation of data processing.

scholarly journals Unbundling dynamic capabilities for inter-organizational collaboration

2019 ◽  
Vol 26 (3) ◽  
pp. 422-448 ◽  
Author(s):  
Olga Petricevic ◽  
Alain Verbeke
Keyword(s):  
Dynamic Capabilities ◽  
Estimation Method ◽  
Electrical Equipment ◽  
Innovation Performance ◽  
Dynamic Capability ◽  
Content Type ◽  
Organizational Contexts ◽  
Theoretical Perspectives ◽  
Different Types ◽  
Organizational Linkages

Purpose The purpose of this paper is to explore two distinct subsets of dynamic capabilities that need to be deployed when pursuing innovation through inter-organizational activities, respectively, in the contexts of broad networks and specific alliances. The authors draw distinctions and explore potential interdependencies between these two dynamic capability reservoirs, by integrating concepts from the theoretical perspectives they are derived from, but which have until now largely ignored each other – the social network perspective and the dynamic capabilities view. Design/methodology/approach The authors investigate nanotechnology-driven R&D activities in the 1995–2005 period for 76 publicly traded firms in the electronics and electrical equipment industry and in the chemicals and pharmaceuticals industry, that applied for 580 nanotechnology-related patents and engaged in 2,459 alliances during the observation period. The authors used zero-truncated Poisson regression as the estimation method. Findings The findings support conceptualizing dynamic capabilities as four distinct subsets, deployed for sensing or seizing purposes, and across the two different inter-organizational contexts. The findings also suggest potential synergies between these subsets of dynamic capabilities, with two subsets being more macro-oriented (i.e. sensing and seizing opportunities within networks) and the two other ones more micro-oriented (i.e. sensing and seizing opportunities within specific alliances). Practical implications The authors show that firms differ in their subsets of dynamic capabilities for pursuing different types of inter-organizational, boundary-spanning relationships (such as alliances vs broader network relationships), which ultimately affects their innovation performance. Originality/value The authors contribute to the growing body of work on dynamic capabilities and firm-specific advantages by unbundling the dynamic capability subsets, and investigating their complex interdependencies for managing different types of inter-organizational linkages. The main new insight is that the “linear model” of generating more innovations through higher inter-firm collaboration in an emerging field paints an erroneous picture of how high innovation performance is actually achieved.

scholarly journals Households’ Electricity Consumption in Hungarian Urban Areas

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2899
Author(s):  
Ferenc Bakó ◽  
Judit Berkes ◽  
Cecília Szigeti
Keyword(s):  
Energy Consumption ◽  
Urban Areas ◽  
Energy Demand ◽  
Estimation Method ◽  
Electricity Consumption ◽  
Average Energy ◽  
Research Area ◽  
Urban Households ◽  
Different Types ◽  
Average Energy Consumption

The aim of this study is to examine the factors influencing the electricity consumption of urban households and to prove these with statistically significant results. The study includes 46 small and medium-sized towns in Hungary. The methodology of the study is mainly provided by a model that can be used for this purpose; however, the results obtained with the traditional regression method are compared with the results of another, more complex estimation method, the artificial neural network, which has the advantage of being able to use different types of models. The focus of our article is on methodological alignment, not necessarily the discovery of new results. Certain demographic characteristics significantly determine the energy demand of a household sector in a municipality. In this case, as the ratio of people aged 60 or over within a city rises by 1%, the urban household average energy consumption decreases by 61 kilowatt hours, and when it rises by 1%, the amount of pollutants expelled from urban households’ average energy consumption may decrease by 22.8745 kg. The research area of our paper was greatly influenced by the availability of the statistical data. The results can be used in the planning of urban developments.

scholarly journals A Study of Rescheduling Strategies for the Quay Crane Scheduling Problem under Random Disruptions

2014 ◽  
Vol 17 (54) ◽  
pp. 35 ◽  
Author(s):  
Christopher Expósito-Izquierdo ◽  
Eduardo Lalla-Ruiz ◽  
Belén Melian-Batista, ◽  
J. Marcos Moreno-Vega
Keyword(s):  
Evolutionary Algorithm ◽  
Management System ◽  
Optimization Problems ◽  
Computational Experiments ◽  
Quality Level ◽  
Scheduling Problem ◽  
Quay Crane Scheduling ◽  
Crane Scheduling ◽  
Quay Cranes ◽  
Different Types

Providing a suitable answer to different types of unforeseen changes in optimization problems is one challenging goal. This paper addresses the Quay Crane Scheduling Problem under random disruptions, whose goal is to determine the sequences of transshipment operations performed by a set of quay cranes in order to load and unload containers onto/from a berthed container vessel. An evolutionary algorithm is used to find an initial solution of the problem with completely deterministic data, whereas several rescheduling strategies are integrated into a dynamism management system aimed at keeping a proper quality level after a random disruption. Computational experiments indicate that using knowledge about previous static problems can largely improve the performance of the implemented schedule.

Capital sudden stop, savings rate difference and economic growth: evidence based on 49 emerging economies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yu Ma ◽  
Jun Shi ◽  
Qiang Ji
Keyword(s):  
Economic Growth ◽  
Emerging Economies ◽  
Estimation Method ◽  
Economic Effects ◽  
Sudden Stops ◽  
Dynamic Panel ◽  
Content Type ◽  
Savings Rate ◽  
Different Types ◽  
The Impact

PurposeThis paper empirically tests the impact of capital sudden stops on the economic growth using quarterly data from 49 emerging economies.Design/methodology/approachThis paper applies the GMM dynamic panel estimation method.FindingsThe results show that capital sudden stops can significantly inhibit the economic growth of emerging economies. It was also found that the inhibiting effect on low-savings-rate economies is greater, but less on high-savings-rate economies. In addition, this paper examined the impact of different types of capital sudden stops on economic growth in emerging economies. The results reveal that the impact of sudden stops of direct investment is not significant.Originality/valueLittle existing research considers the impact of capital sudden stops through the perspective of savings rate differences. Based on our research using the GMM model, we argue that capital sudden stops will lead to a decline in investment kinetic energy in emerging economies, and therefore, a decline in economic growth. There are also few studies on the economic effects of capital sudden stops. And the time series model is generally used in a single economy. This paper, however, uses the data from 49 emerging economies and takes the panel approach to more comprehensively study the capital sudden stops of emerging economies.

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