scholarly journals MASHUP SCHEME DESIGN OF MAP TILES USING LIGHTWEIGHT OPEN SOURCE WEBGIS PLATFORM

2018 ◽  
Vol XLII-3 ◽  
pp. 565-571
Author(s):  
T. Hu ◽  
J. Fan ◽  
H. He ◽  
L. Qin ◽  
G. Li
Keyword(s):  
Coordinate System ◽  
Low Cost ◽  
Image Data ◽  
Source Image ◽  
Scheme Design ◽  
Paper Cover ◽  
Data Source ◽  
Single Data Source ◽  
Single Data ◽  
Loading Scheme

To address the difficulty involved when using existing commercial Geographic Information System platforms to integrate multi-source image data fusion, this research proposes the loading of multi-source local tile data based on CesiumJS and examines the tile data organization mechanisms and spatial reference differences of the CesiumJS platform, as well as various tile data sources, such as Google maps, Map World, and Bing maps. Two types of tile data loading schemes have been designed for the mashup of tiles, the single data source loading scheme and the multi-data source loading scheme. The multi-sources of digital map tiles used in this paper cover two different but mainstream spatial references, the WGS84 coordinate system and the Web Mercator coordinate system. According to the experimental results, the single data source loading scheme and the multi-data source loading scheme with the same spatial coordinate system showed favorable visualization effects; however, the multi-data source loading scheme was prone to lead to tile image deformation when loading multi-source tile data with different spatial references. The resulting method provides a low cost and highly flexible solution for small and medium-scale GIS programs and has a certain potential for practical application values. The problem of deformation during the transition of different spatial references is an important topic for further research.

Event detection of different English data sources based on transfer learning

2021 ◽  
pp. 1-11
Author(s):  
Yanan Huang ◽  
Yuji Miao ◽  
Zhenjing Da
Keyword(s):  
Transfer Learning ◽  
Event Detection ◽  
Visual Analysis ◽  
Learning Algorithm ◽  
Data Sources ◽  
Data Set ◽  
Data Source ◽  
Single Data Source ◽  
The Difference ◽  
Single Data

The methods of multi-modal English event detection under a single data source and isomorphic event detection of different English data sources based on transfer learning still need to be improved. In order to improve the efficiency of English and data source time detection, based on the transfer learning algorithm, this paper proposes multi-modal event detection under a single data source and isomorphic event detection based on transfer learning for different data sources. Moreover, by stacking multiple classification models, this paper makes each feature merge with each other, and conducts confrontation training through the difference between the two classifiers to further make the distribution of different source data similar. In addition, in order to verify the algorithm proposed in this paper, a multi-source English event detection data set is collected through a data collection method. Finally, this paper uses the data set to verify the method proposed in this paper and compare it with the current most mainstream transfer learning methods. Through experimental analysis, convergence analysis, visual analysis and parameter evaluation, the effectiveness of the algorithm proposed in this paper is demonstrated.

scholarly journals Efficient Capacity-Constrained Multicast in RC-Based P2P Networks

10.29007/dhwl ◽  
2019 ◽  
Author(s):  
Koushik Maddali ◽  
Banafsheh Rekabdar ◽  
Swathi Kaluvakuri ◽  
Bidyut Gupta
Keyword(s):  
Residue Class ◽  
P2p Networks ◽  
Multicast Protocol ◽  
Multicast Protocols ◽  
Application Level Multicast ◽  
Data Source ◽  
Single Data Source ◽  
Single Data ◽  
Capacity Constrained ◽  
Better Than

Application level multicast is independent of router infrastructure unlike router-based IP multicast. The existing DHT-based application level multicast protocols work efficiently as long as there is almost no churn; otherwise, their performances start degrading drastically, because DHT – based architecture cannot handle churn effectively. Besides, most of DHT-based multicast protocols consider single data source and do not consider peer heterogeneity. In this work, we have considered an existing non-DHT based P2P architecture, viz., Residue Class based (RC-based) architecture which has already been shown to perform much better than some well-known DHT-based architectures from the viewpoints of speed of unicast communication and churn handling. We have presented a highly efficient capacity-constrained and any source multicast protocol suitable for the RC-based P2P architecture as mentioned above.

scholarly journals Comparing interview and trade data in assessing changes in the seahorse Hippocampus spp. trade following CITES listing

Oryx ◽  
2014 ◽  
Vol 50 (1) ◽  
pp. 36-46 ◽  
Author(s):  
Joy T.L. Lam ◽  
Heather J. Koldewey ◽  
Maï Yasué ◽  
Amanda C.J. Vincent
Keyword(s):  
Hong Kong ◽  
Medicinal Uses ◽  
Price Increases ◽  
Local Stakeholders ◽  
Global Impacts ◽  
Data Source ◽  
Single Data Source ◽  
Single Data ◽  
Source Countries ◽  
Government Statistics

AbstractConcerns regarding the sustainability of the seahorse Hippocampus spp. trade led to their listing on CITES Appendix II in 2002, with implementation in 2004. In 2007 we interviewed wholesale traders of seahorses in Hong Kong, China, seeking indications of the effects of the CITES listing on the seahorse trade. We cross-validated traders’ perspectives with government trade statistics (1998–2007) from Hong Kong and Taiwan. We also compared these data with trade statistics for pipefish, which are related species with similar medicinal uses but are not CITES-listed. Both the interviews and government statistics indicated reduced volumes of seahorses traded through Hong Kong, changes in source countries, and price increases post-implementation. Traders suggested that these changes were largely a result of the CITES listing. However, data indicate that other factors such as shifts in domestic policies and local demand may also have affected the trade. By cross-validating the perspectives of local stakeholders with trade statistics in a wildlife trading hub we were able to explore hypotheses on the local and global impacts of CITES. Such approaches are especially important for CITES-listed species because often there is no single data source that is complete and wholly reliable.

scholarly journals Imputation Techniques in Microsimulation

2010 ◽  
Vol 25 (3) ◽  
pp. 69-83
Author(s):  
Kum Hyun Sub
Keyword(s):  
Propensity Score ◽  
Synthetic Data ◽  
Data Sources ◽  
New Approach ◽  
Key Variables ◽  
Data Source ◽  
Policy Measures ◽  
Single Data Source ◽  
Single Data ◽  
The Individual

Microsimulation has gained attention for its use in analyzing and forecasting the individual impacts of alternative economic and social policy measures. In practice, however, microsimulation cannot be carried out from a single data source, since it requires far more information than any single data source can provide. This paper discusses ways to combine separate data sources when there are no identical key variables, using imputation techniques, to make a large but synthetic data source for microsimulation. A new approach based on propensity score matching is suggested and discussed.

scholarly journals Corporate crime in Australia: the extent of the problem

2020 ◽  
Author(s):  
David Bartlett ◽  
Janet Ransley
Keyword(s):  
Corporate Crime ◽  
Business Community ◽  
National Database ◽  
Public Concern ◽  
Policy And Practice ◽  
Reporting Practices ◽  
Data Source ◽  
Single Data Source ◽  
Single Data ◽  
Corporate Wrongdoing

Government and public concern about corporate wrongdoing in Australia is arguably at an all-time high. However, the extent and nature of corporate crime is largely unknown; it is concealed by regulatory agency reporting practices and the absence of a single data source which combines data across all regulators. This study addresses the problem by examining corporate offending by 33 of the country’s top companies, and their wholly owned subsidiaries, over a five-year period. The results indicate that corporate offending is patterned and unevenly distributed across the business community. Drawing on the findings and on their experience of conducting the research, the authors make recommendations for improving policy and practice, including the establishment of a national database of corporate offending.

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