scholarly journals A Geospatial Application Framework for Directional Relations

2019 ◽  
Vol 8 (1) ◽  
pp. 33
Author(s):  
Eliseo Clementini ◽  
Giampaolo Bellizzi
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Spatial Relations ◽  
Theoretical Models ◽  
Frames Of Reference ◽  
Application Framework ◽  
Topological Relations ◽  
Intersection Model ◽  
Geographic Data ◽  
Directional Relations

Geographic data analysis is based on the use of spatial relations as a means of selecting and processing geometric data associated with geographic features. Starting from 1990, topological relations have been recognized as fundamental criteria in geographic data processing, leaving out other kinds of spatial relations, such as directional relations. The latter ones, despite having quite an important role in geospatial applications, have been developed as theoretical models but very little implemented in systems. We refer in this paper to the 5-intersection model for expressing projective relations that can be used to implement directional relations in various frames of reference. We design an application framework in Java and use the framework for answering various categories of queries involving directions. We finally outline how to use the framework for validating the cognitive adequacy of relations with user tests.

scholarly journals Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and Representation

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Nadeem Salamat ◽  
El-hadi Zahzah
Keyword(s):  
Spatial Relations ◽  
Two Dimensional ◽  
Artificial Data ◽  
Topological Relations ◽  
Object Pair ◽  
Directional Relation ◽  
Fuzzy Objects ◽  
Fuzzy Spatial Relations ◽  
Directional Relations ◽  
Object Level

Fuzziness is found everywhere, in modeling spatial relations, fuzziness is found at object level as well as in relation semantics. Commonly, fuzzy topological relations are computed between fuzzy objects. Fuzziness in relation semantics is represented by fuzzy topological relations between crisp objects and these types of fuzzy topological relations are much less developed. In this paper, we propose a method for combining fuzzy topological and directional relations. We also propose an algorithm for defuzzification of relations which provides us a binary topological and directional relation between a 2D object pair. These relations are represented in a neighborhood graph. For validation and assessment, a number of experiments have been performed on artificial data.

Directional relations and frames of reference

2011 ◽  
Vol 17 (2) ◽  
pp. 235-255 ◽  
Author(s):  
Eliseo Clementini
Keyword(s):  
Frames Of Reference ◽  
Directional Relations

scholarly journals ELM Meets Urban Big Data Analysis: Case Studies

2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Ningyu Zhang ◽  
Huajun Chen ◽  
Xi Chen ◽  
Jiaoyan Chen
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Case Studies ◽  
Virtual Worlds ◽  
Health Hazard ◽  
Big Data Analysis ◽  
Application Framework ◽  
Rapid Progress ◽  
Urban Computing ◽  
General Application

In the latest years, the rapid progress of urban computing has engendered big issues, which creates both opportunities and challenges. The heterogeneous and big volume of data and the big difference between physical and virtual worlds have resulted in lots of problems in quickly solving practical problems in urban computing. In this paper, we propose a general application framework of ELM for urban computing. We present several real case studies of the framework like smog-related health hazard prediction and optimal retain store placement. Experiments involving urban data in China show the efficiency, accuracy, and flexibility of our proposed framework.

scholarly journals Extension of the sasCIF format and its applications for data processing and deposition

2016 ◽  
Vol 49 (1) ◽  
pp. 302-310 ◽  
Author(s):  
Michael Kachala ◽  
John Westbrook ◽  
Dmitri Svergun
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Data Exchange ◽  
Hybrid Methods ◽  
Data Bank ◽  
Relevant Information ◽  
Experimental Information ◽  
Biological Data ◽  
Task Forces ◽  
Software Modules

Recent advances in small-angle scattering (SAS) experimental facilities and data analysis methods have prompted a dramatic increase in the number of users and of projects conducted, causing an upsurge in the number of objects studied, experimental data available and structural models generated. To organize the data and models and make them accessible to the community, the Task Forces on SAS and hybrid methods for the International Union of Crystallography and the Worldwide Protein Data Bank envisage developing a federated approach to SAS data and model archiving. Within the framework of this approach, the existing databases may exchange information and provide independent but synchronized entries to users. At present, ways of exchanging information between the various SAS databases are not established, leading to possible duplication and incompatibility of entries, and limiting the opportunities for data-driven research for SAS users. In this work, a solution is developed to resolve these issues and provide a universal exchange format for the community, based on the use of the widely adopted crystallographic information framework (CIF). The previous version of the sasCIF format, implemented as an extension of the core CIF dictionary, has been available since 2000 to facilitate SAS data exchange between laboratories. The sasCIF format has now been extended to describe comprehensively the necessary experimental information, results and models, including relevant metadata for SAS data analysis and for deposition into a database. Processing tools for these files (sasCIFtools) have been developed, and these are available both as standalone open-source programs and integrated into the SAS Biological Data Bank, allowing the export and import of data entries as sasCIF files. Software modules to save the relevant information directly from beamline data-processing pipelines in sasCIF format are also developed. This update of sasCIF and the relevant tools are an important step in the standardization of the way SAS data are presented and exchanged, to make the results easily accessible to users and to promote further the application of SAS in the structural biology community.

scholarly journals Pengaruh Reliability, Responsiveness, Assurance, Empathy dan Tangibles Terhadap Kepuasan Konsumen GrabBike

2020 ◽  
Vol 3 (2) ◽  
pp. 34
Author(s):  
Lusiana Lusiana ◽  
Salamun Pasda ◽  
Mustari Mustari ◽  
Muhammad Ihsan Said Ahmad ◽  
Muhammad Hasan
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Data Processing ◽  
Significant Influence ◽  
Random Sampling ◽  
Consumer Satisfaction ◽  
Quantitative Approach ◽  
Research Results ◽  
Transport Services ◽  
Analysis Technique

The purpose of this research are to see how reliability, responsiveness, assurance, empathy and tangibles affect the satisfaction of customer users of online transport services to UNM Economic students. Research conducted a method survey with quantitative approach. The population in this research is all students using grab bike online transport, ranging from 2016-2019 to 206 people. Sampling samples using technical samples of random sampling are 67 people. The instruments used to collect data are instruments of questionnaire, observation, and documentation. The data analysis technique used are regression analysis and hypothetical testing with T and F. data processing used SPSS version 21 for windows software. Research results show that variable as reliability, responsiveness, assurance, empathy, and tangibles are partial to positive and significant effects on users GrabBike online transport satisfaction. Simultaneously there is a positive and significant influence between reliability variables, responsiveness, assurance, empathy and tangibles to the consumer satisfaction users of GrabBike online transport services

scholarly journals The Effect of the Use of Canva Application Learning Media on the Creativity of Students in Language Studio Extracurricular Activities at SMPN 1 Tanjung Emas

2021 ◽  
Vol 9 (4) ◽  
pp. 506
Author(s):  
Deni Putri Sartika ◽  
Vevi Sunarti
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Experimental Method ◽  
Extracurricular Activities ◽  
School Principals ◽  
Paired Sample ◽  
Significant Difference ◽  
Quasi Experimental ◽  
Using Data ◽  
Efficient Learning

This research is motivated by the low creativity of students in language studio extracurricular activities at SMPN 1 Tanjung Emas. This condition is thought to be due to factors that influence the low creativity of students, one of the factors that is thought to greatly influence is the use of learning media that is less effective and efficient. This study aims to see the creativity of students through the use of Canva application learning media in language studio extracurricular activities at SMPN 1 Tanjung Emas. This type of research is using a quantitative approach to the quasi-experimental method (Quasi Experiment). The population in this study were students in the language studio extracurricular activities at SMPN 1 Tanjung Emas as many as 25 students, all of whom became the research sample. By using data analysis using the test formula paired sample t-test. From the data processing, it can be concluded that there is a significant difference between the creativity of students before being given an action (pretest) and after being given an action (posttest) using the Canva application learning media in the language studio extracurricular activities at SMPN 1 Tanjung Emas. Suggestions and results of this research are for educators to be able to further increase the creativity of students in using the Canva application learning media and for school principals at SMPN 1 Tanjung Emas as leaders at the school so that they can further increase the availability of facilities and infrastructure, especially effective and efficient learning media. as well as to support the creativity of students

Design and Application of a Containerized Hybrid Transaction Processing and Data Analysis Framework

2018 ◽  
Vol 10 (3) ◽  
pp. 76-90
Author(s):  
Ye Tao ◽  
Xiaodong Wang ◽  
Xiaowei Xu
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
User Interfaces ◽  
Relational Databases ◽  
Transaction Processing ◽  
Data Sets ◽  
Healthcare Data ◽  
Development Framework ◽  
Hybrid Development ◽  
Transaction Processing Systems

This article describes how rapidly growing data volumes require systems that have the ability to handle massive heterogeneous unstructured data sets. However, most existing mature transaction processing systems are built upon relational databases with structured data. In this article, the authors design a hybrid development framework, to offer greater scalability and flexibility of data analysis and reporting, while keeping maximum compatibility and links to the legacy platforms on which transaction business logics run. Data, service and user interfaces are implemented as a toolset stack, for developing applications with functionalities of information retrieval, data processing, analyzing and visualizing. A use case of healthcare data integration is presented as an example, where information is collected and aggregated from diverse sources. The workflow and simulation of data processing and visualization are also discussed, to validate the effectiveness of the proposed framework.

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