scholarly journals VisHive: Supporting web-based visualization through ad hoc computational clusters of mobile devices

2018 ◽  
Vol 18 (2) ◽  
pp. 195-210 ◽  
Author(s):  
Zhe Cui ◽  
Shivalik Sen ◽  
Sriram Karthik Badam ◽  
Niklas Elmqvist
Keyword(s):  
Ad Hoc ◽  
Spatial Clustering ◽  
Principal Component ◽  
Text Analytics ◽  
Web Based ◽  
Web Technologies ◽  
Multiple Devices ◽  
Noise Clustering ◽  
Client Side ◽  
Visual Interface

Current web-based visualizations are designed for single computers and cannot make use of additional devices on the client side, even if today’s users often have access to several, such as a tablet, a smartphone, and a smartwatch. We present a framework for ad hoc computational clusters that leverage these local devices for visualization computations. Furthermore, we present an instantiating JavaScript toolkit called VisHive for constructing web-based visualization applications that can transparently connect multiple devices—called cells—into such ad hoc clusters—called a hive—for local computation. Hives are formed either using a matchmaking service or through manual configuration. Cells are organized into a master–slave architecture, where the master provides the visual interface to the user and controls the slaves and the slaves perform computation. VisHive is built entirely using current web technologies, runs in the native browser of each cell, and requires no specific software to be downloaded on the involved devices. We demonstrate VisHive using four distributed examples: a text analytics visualization, a database query for exploratory visualization, a density-based spatial clustering of applications with noise clustering running on multiple nodes, and a principal component analysis implementation.

Research and Development of Online Examination System

2013 ◽  
Vol 756-759 ◽  
pp. 1110-1113
Author(s):  
Qiao Fang Zhao ◽  
Yong Fei Li
Keyword(s):  
Research And Development ◽  
Examination System ◽  
Web Based ◽  
Web Technologies ◽  
Server Side ◽  
Online Examination ◽  
Programming Techniques ◽  
Client Side

Examination System was necessary to separate teaching and testing. A web-based Examination System was developed with Java Web technologies. The system provided the functions, including question management, paper generation and test online. Also the combination of client-side programming and server-side programming techniques were used and analyzed.

scholarly journals UNIFORM SMARTPHONE CONTROLLER FOR WEB-BASED VIRTUAL REALITY PURPOSES

2021 ◽  
Vol 21 (1) ◽  
pp. 11-18
Author(s):  
Marián HUDÁK ◽  
◽  
Martin SIVÝ ◽  
Branislav SOBOTA
Keyword(s):  
Virtual Reality ◽  
Virtual Environments ◽  
Display Device ◽  
Interaction Techniques ◽  
Web Based ◽  
Smart Client ◽  
Web Technologies ◽  
Multiple Devices ◽  
Cross Platform ◽  
Further Development

This work introduces a uniform smartphone controller interface integrated into LIRKIS G-CVE web-based global collaborative virtual environments. In general, VR controllers provide various kinds of interaction techniques to manipulate virtual objects. Mostly, those aim focus on controlling the virtual context and the interaction with 3D GUI integrated in the virtual environment. With respect to web-based virtual reality, the progress in development of uniform interfaces is raising thanks to emerging web technologies and frameworks with cross-platform support. Although there are many manufacturers of VR controllers, their usage is often limited only for specified display device. Our intention is to cover multiple devices through only one simple controller interface, that is capable to provide a variety of interactions for web-based VR. In this study we proposed Enhanced Smart Client Interface designed for providing fully immersive interaction through smartphones. We performed several experiments focused on user experience and usability under two cloud platforms. Results obtained from experiments performed in our study confirm that utilization of our interface is mostly affected by the server response time. Based on the results this solution is suitable for further development and improvements.

scholarly journals LSIVIEWER 2.0 – A CLIENT-ORIENTED ONLINE VISUALIZATION TOOL FOR GEOSPATIAL VECTOR DATA

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 107-113
Author(s):  
K. Manikanta ◽  
K.S. Rajan
Keyword(s):  
Geospatial Data ◽  
Web Gis ◽  
Vector Data ◽  
Web Based ◽  
Gis Application ◽  
Web Technologies ◽  
Server Side ◽  
Computing Paradigm ◽  
Visualization Systems ◽  
Client Side

Geospatial data visualization systems have been predominantly through applications that are installed and run in a desktop environment. Over the last decade, with the advent of web technologies and its adoption by Geospatial community, the server-client model for data handling, data rendering and visualization respectively has been the most prevalent approach in Web-GIS. While the client devices have become functionally more powerful over the recent years, the above model has largely ignored it and is still in a mode of serverdominant computing paradigm. In this paper, an attempt has been made to develop and demonstrate LSIViewer – a simple, easy-to-use and robust online geospatial data visualisation system for the user’s own data that harness the client’s capabilities for data rendering and user-interactive styling, with a reduced load on the server. The developed system can support multiple geospatial vector formats and can be integrated with other web-based systems like WMS, WFS, etc. The technology stack used to build this system is Node.js on the server side and HTML5 Canvas and JavaScript on the client side. Various tests run on a range of vector datasets, upto 35 MB, showed that the time taken to render the vector data using LSIViewer is comparable to a desktop GIS application, QGIS, over an identical system.

scholarly journals 3D WebGIS: From Visualization to Analysis. An Efficient Browser-Based 3D Line-of-Sight Analysis

2018 ◽  
Vol 7 (7) ◽  
pp. 279 ◽  
Author(s):  
Michael Auer ◽  
Alexander Zipf
Keyword(s):  
3D Visualization ◽  
Heritage Management ◽  
Line Of Sight ◽  
3D Analysis ◽  
Web Based ◽  
Web Technologies ◽  
Static Data ◽  
Wide Range ◽  
Gis Data ◽  
Client Side

3D WebGIS systems have been mentioned in the literature almost since the beginning of the graphical web era in the late 1990s. The potential use of 3D WebGIS is linked to a wide range of scientific and application domains, such as planning, controlling, tracking or simulation in crisis management, military mission planning, urban information systems, energy facilities or cultural heritage management, just to name a few. Nevertheless, many applications or research prototypes entitled as 3D WebGIS or similar are mainly about 3D visualization of GIS data or the visualization of analysis results, rather than about performing the 3D analysis itself online. This research paper aims to step forward into the direction of web-based 3D geospatial analysis. It describes how to overcome speed and memory restrictions in web-based data management by adapting optimization strategies, developed earlier for web-based 3D visualization. These are applied in a holistic way in the context of a fully 3D line-of-sight computation over several layers with split (tiled) and unsplit (static) data sources. Different optimization approaches are combined and evaluated to enable an efficient client side analysis and a real 3D WebGIS functionality using new web technologies such as HTML5 and WebGL.

Structure, Logic, and Semantics in ad hoc Classification Schemes Applied to Web-Based Libraries in the Field of Education

2013 ◽  
Author(s):  
Michèle Hudon ◽  
Sabine Mas ◽  
Dominique Gazo
Keyword(s):  
Ad Hoc ◽  
Knowledge Organization ◽  
Theoretical Research ◽  
Web Based ◽  
Classification Schemes ◽  
Research Traditions ◽  
Local Perspectives

This project focuses on a sample of six Web-based libraries in the field of Education. Our analysis explores structural, logic and semantic dimensions, supported by theoretical research in classification and in the area of personal document spaces organization, and by findings of previous analyses of Web directory structures. Our findings expand our understanding of how Web-based resources in education are organized, helping us determine whether categorization schemes and keywords reflect anything else than local perspectives and systems, while bringing together two research traditions issued respectively from knowledge organization and from document and records management.Ce projet est axé sur un échantillon de six bibliothèques sur le Web dans le domaine de l’éducation. Notre analyse explore les dimensions structurelles, logiques et sémantiques, corroborée par la recherche théorique en classification et dans le domaine de l’organisation des espaces documentaires personnels, et par les résultats d’analyses préliminaires de la structure des répertoires Web. Nos résultats développent notre compréhension sur la manière dont les ressources Web en éducation sont organisées, nous aidant ainsi à déterminer… 

Spatial clustering analysis of green economy based on knowledge graph

2021 ◽  
pp. 1-10
Author(s):  
Shiyuan Zhou ◽  
Xiaoqin Yang ◽  
Qianli Chang
Keyword(s):  
Spatial Data ◽  
Clustering Analysis ◽  
Spatial Clustering ◽  
Evaluation Model ◽  
Principal Component ◽  
Green Economy ◽  
Membership Degree ◽  
Two Dimensional ◽  
Dimensional Graph ◽  
Improved Algorithm

By organically combining principal component analysis, spatial autocorrelation algorithm and two-dimensional graph theory clustering algorithm, the comprehensive evaluation model of regional green economy is explored and established. Based on the evaluation index system of regional green economy, this paper evaluates the development of regional green economy comprehensively by using principal component analysis, and evaluates the competitive advantage of green economy and analyzes the spatial autocorrelation based on the evaluation results. Finally, the green economy and local index score as observed values, by using the method of two-dimensional graph clustering analysis of spatial clustering. In view of the fuzzy k –modes cluster membership degree measure method without considering the defects of the spatial distribution of object, double the distance and density measurement of measure method is introduced into the fuzzy algorithm of k –modes, thus in a more reasonable way to update the membership degree of the object. Vote, MUSH-ROOM and ZOO data sets in UCI machine learning library were used for testing, and the F value of the improved algorithm was better than that of the previous one, indicating that the improved algorithm had good clustering effect. Finally, the improved algorithm is applied to the spatial data collected from Baidu Map to cluster, and a good clustering result is obtained, which shows the feasibility and effectiveness of the algorithm applied to spatial data. Results show that the development of green economy using the analysis method of combining quantitative analysis and qualitative analysis, explores the connotation of green economy with space evaluation model is feasible, small make up for the qualitative analysis of the green economy in the past, can objective system to reflect the regional green economic development level, will help policy makers scientific formulating regional economic development strategy, green integrated development of regional green economy from the macroscopic Angle, the development of network system.

Implementation of Web Application for Disease Prediction Using AI

2020 ◽  
pp. 5-9
Author(s):  
Manasvi Srivastava ◽  
◽  
Vikas Yadav ◽  
Swati Singh ◽  
◽  
...  
Keyword(s):  
Web Application ◽  
Ad Hoc ◽  
Data Extraction ◽  
Extraction Methods ◽  
Web Page ◽  
Web Based ◽  
Web Extraction ◽  
Web Scraping ◽  
Audio Video ◽  
Manual Extraction

The Internet is the largest source of information created by humanity. It contains a variety of materials available in various formats such as text, audio, video and much more. In all web scraping is one way. It is a set of strategies here in which we get information from the website instead of copying the data manually. Many Web-based data extraction methods are designed to solve specific problems and work on ad-hoc domains. Various tools and technologies have been developed to facilitate Web Scraping. Unfortunately, the appropriateness and ethics of using these Web Scraping tools are often overlooked. There are hundreds of web scraping software available today, most of them designed for Java, Python and Ruby. There is also open source software and commercial software. Web-based software such as YahooPipes, Google Web Scrapers and Firefox extensions for Outwit are the best tools for beginners in web cutting. Web extraction is basically used to cut this manual extraction and editing process and provide an easy and better way to collect data from a web page and convert it into the desired format and save it to a local or archive directory. In this paper, among others the kind of scrub, we focus on those techniques that extract the content of a Web page. In particular, we use scrubbing techniques for a variety of diseases with their own symptoms and precautions.

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