Web-Based Information Exploration of Sensor Web Using the HTML5/X3D Integration Model

2016 ◽  
pp. 1046-1065
Author(s):  
Byounghyun Yoo
Keyword(s):  
Level Of Detail ◽  
Visual Exploration ◽  
Sensor Data ◽  
Integration Model ◽  
Web Based ◽  
Levels Of Detail ◽  
Sensor Web ◽  
Information Exploration ◽  
Weather Stations

This chapter investigates how the visualization of sensor resources on a 3D Web-based globe organized by level-of-detail can enhance search and exploration of information by easing the formulation of geospatial queries against the metadata of sensor systems. The case study provides an approach inspired by geographical mashups in which freely available functionality and data are flexibly combined. The authors use PostgreSQL, PostGIS, PHP, X3D-Earth, and X3DOM to allow the Web3D standard and its geospatial component to be used for visual exploration and level-of-detail control of a dynamic scene. The proposed approach facilitates the dynamic exploration of the Sensor Web and allows the user to seamlessly focus in on a particular sensor system from a set of registered sensor networks deployed across the globe. In this chapter, the authors present a prototype metadata exploration system featuring levels-of-detail for a multi-scaled Sensor Web and use it to visually explore sensor data of weather stations.

Web-Based Information Exploration of Sensor Web Using the HTML5/X3D Integration Model

2015 ◽  
pp. 189-208
Author(s):  
Byounghyun Yoo
Keyword(s):  
Level Of Detail ◽  
Visual Exploration ◽  
Sensor Data ◽  
Integration Model ◽  
Web Based ◽  
Levels Of Detail ◽  
Sensor Web ◽  
Information Exploration ◽  
Weather Stations

This chapter investigates how the visualization of sensor resources on a 3D Web-based globe organized by level-of-detail can enhance search and exploration of information by easing the formulation of geospatial queries against the metadata of sensor systems. The case study provides an approach inspired by geographical mashups in which freely available functionality and data are flexibly combined. The authors use PostgreSQL, PostGIS, PHP, X3D-Earth, and X3DOM to allow the Web3D standard and its geospatial component to be used for visual exploration and level-of-detail control of a dynamic scene. The proposed approach facilitates the dynamic exploration of the Sensor Web and allows the user to seamlessly focus in on a particular sensor system from a set of registered sensor networks deployed across the globe. In this chapter, the authors present a prototype metadata exploration system featuring levels-of-detail for a multi-scaled Sensor Web and use it to visually explore sensor data of weather stations.

scholarly journals Incremental Construction of Counterexamples in Model Checking Web Documents

10.29007/c8jt ◽  
2018 ◽  
Author(s):  
Franz Weitl ◽  
Shin Nakajima
Keyword(s):  
Model Checking ◽  
Description Logic ◽  
Level Of Detail ◽  
Web Documents ◽  
Web Based ◽  
Computation Tree Logic ◽  
Computation Tree ◽  
Incremental Construction ◽  
Analysis Of Error

A new algorithm for incrementally generating counterexamples for the temporal description logic ALCCTL is presented. ALCCTL is a decidable combination of the description logic ALC and computation tree logic CTL that is expressive for content- and structure-related properties of web documents being verified by model checking. In the case of a specification violation, existing model checkers provide a single counterexample which may be large and complex. We extend existing algorithms for generating counterexamples in two ways. First, a coarse counterexample is generated initially that can be refined subsequently to the desired level of detail in an incremental manner. Second, the user can choose where and in which way a counterexample is refined. This enables the interactive step-by-step analysis of error scenarios according to the user's interest.We demonstrate in a case study on a web-based training document that the proposed approach reveals more errors and explains the cause of errors more precisely than the counterexamples of existing model checkers. In addition, we demonstrate that the proposed algorithm is sufficiently fast to enable smooth interaction even in the case of large documents.

scholarly journals An Ontology-Driven Approach for Integrating Intelligence to Manage Human and Ecological Health Risks in the Geospatial Sensor Web

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3619 ◽  
Author(s):  
Xiaoliang Meng ◽  
Feng Wang ◽  
Yichun Xie ◽  
Guoqiang Song ◽  
Shifa Ma ◽  
...  
Keyword(s):  
Health Risk ◽  
Health Risks ◽  
Intelligent System ◽  
Environmental Sensors ◽  
Ecological Health ◽  
Web Based ◽  
Software Applications ◽  
Sensor Web ◽  
Massive Number

Due to the rapid installation of a massive number of fixed and mobile sensors, monitoring machines are intentionally or unintentionally involved in the production of a large amount of geospatial data. Environmental sensors and related software applications are rapidly altering human lifestyles and even impacting ecological and human health. However, there are rarely specific geospatial sensor web (GSW) applications for certain ecological public health questions. In this paper, we propose an ontology-driven approach for integrating intelligence to manage human and ecological health risks in the GSW. We design a Human and Ecological health Risks Ontology (HERO) based on a semantic sensor network ontology template. We also illustrate a web-based prototype, the Human and Ecological Health Risk Management System (HaEHMS), which helps health experts and decision makers to estimate human and ecological health risks. We demonstrate this intelligent system through a case study of automatic prediction of air quality and related health risk.

scholarly journals 3D Simplification Methods and Large Scale Terrain Tiling

2020 ◽  
Vol 12 (3) ◽  
pp. 437
Author(s):  
Ricard Campos ◽  
Josep Quintana ◽  
Rafael Garcia ◽  
Thierry Schmitt ◽  
George Spoelstra ◽  
...  
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
Level Of Detail ◽  
Web Based ◽  
European Area ◽  
Levels Of Detail ◽  
Triangulated Irregular Networks ◽  
Large Scale Dataset ◽  
Irregular Networks ◽  
Elevation Data

This paper tackles the problem of generating world-scale multi-resolution triangulated irregular networks optimized for web-based visualization. Starting with a large-scale high-resolution regularly gridded terrain, we create a pyramid of triangulated irregular networks representing distinct levels of detail, where each level of detail is composed of small tiles of a fixed size. The main contribution of this paper is to redefine three different state-of-the-art 3D simplification methods to efficiently work at the tile level, thus rendering the process highly parallelizable. These modifications focus on the restriction of maintaining the vertices on the border edges of a tile that is coincident with its neighbors, at the same level of detail. We define these restrictions on the three different types of simplification algorithms (greedy insertion, edge-collapse simplification, and point set simplification); each of which imposes different assumptions on the input data. We implement at least one representative method of each type and compare both qualitatively and quantitatively on a large-scale dataset covering the European area at a resolution of 1/16 of an arc minute in the context of the European Marine Observations Data network (EMODnet) Bathymetry project. The results show that, although the simplification method designed for elevation data attains the best results in terms of mean error with respect to the original terrain, the other, more generic state-of-the-art 3D simplification techniques create a comparable error while providing different complexities for the triangle meshes.

Sensor data dissemination systems using Web-based standards: a case study of publishing data in support of evapotranspiration models in California

2009 ◽  
Vol 26 (1) ◽  
pp. 35-52 ◽  
Author(s):  
Jianting Zhang ◽  
Quinn Hart ◽  
Michael Gertz ◽  
Carlos Rueda ◽  
Jeffrey Bergamini
Keyword(s):  
Data Dissemination ◽  
Sensor Data ◽  
Web Based

scholarly journals An Interoperable Architecture for the Internet of COVID-19 Things (IoCT) Using Open Geospatial Standards—Case Study: Workplace Reopening

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 50
Author(s):  
Steve H. L. Liang ◽  
Sara Saeedi ◽  
Soroush Ojagh ◽  
Sepehr Honarparvar ◽  
Sina Kiaei ◽  
...  
Keyword(s):  
Real Time ◽  
Situational Awareness ◽  
Low Cost ◽  
Heterogeneous Systems ◽  
Geospatial Data ◽  
Sensor Data ◽  
Contact Tracing ◽  
Time Data ◽  
Sensor Web

To safely protect workplaces and the workforce during and after the COVID-19 pandemic, a scalable integrated sensing solution is required in order to offer real-time situational awareness and early warnings for decision-makers. However, an information-based solution for industry reopening is ineffective when the necessary operational information is locked up in disparate real-time data silos. There is a lot of ongoing effort to combat the COVID-19 pandemic using different combinations of low-cost, location-based contact tracing, and sensing technologies. These ad hoc Internet of Things (IoT) solutions for COVID-19 were developed using different data models and protocols without an interoperable way to interconnect these heterogeneous systems and exchange data on people and place interactions. This research aims to design and develop an interoperable Internet of COVID-19 Things (IoCT) architecture that is able to exchange, aggregate, and reuse disparate IoT sensor data sources in order for informed decisions to be made after understanding the real-time risks in workplaces based on person-to-place interactions. The IoCT architecture is based on the Sensor Web paradigm that connects various Things, Sensors, and Datastreams with an indoor geospatial data model. This paper presents a study of what, to the best of our knowledge, is the first real-world integrated implementation of the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) and IndoorGML standards to calculate the risk of COVID-19 online using a workplace reopening case study. The proposed IoCT offers a new open standard-based information model, architecture, methodologies, and software tools that enable the interoperability of disparate COVID-19 monitoring systems with finer spatial-temporal granularity. A workplace cleaning use case was developed in order to demonstrate the capabilities of this proposed IoCT architecture. The implemented IoCT architecture included proximity-based contact tracing, people density sensors, a COVID-19 risky behavior monitoring system, and the contextual building geospatial data.

A Case Study on Web-based Learning Environment Evaluation in Higher Education: Learner Perspectives in a Private University in Malaysia.

2020 ◽  
Vol 1 (2) ◽  
pp. 18-33
Author(s):  
Zarina Che Imbi ◽  
Tse-Kian Neo ◽  
Mai Neo
Keyword(s):  
Higher Education ◽  
Learning Environment ◽  
Private University ◽  
Systematic Evaluation ◽  
Digital Learning ◽  
Mixed Method Research ◽  
Web Based ◽  
Web Based Learning ◽  
Kirkpatrick’S Model

In the era of digital learning, multimedia-based classroom has been commonly used in higher education including Malaysian higher education institutions. A case study has been performed to evaluate web-based learning using Level 1 to 3 of Kirkpatrick's model in a multi-disciplinary course at Multimedia University, Malaysia. In this study, mixed method research was employed in which triangulation was performed from multiple sources of data collection to give deeper understanding. Students perceived that learning with multimedia was enjoyable. They were also motivated in learning and engaged through the use of web module as multimedia was perceived to motivate them and make learning fun. Students showed significant improvements in their knowledge based on the pre-test and post-test results on learning evaluation. Students were perceived to transfer the learning from web-based learning into the learning outcome. The systematic evaluation can provide the feedback that educators and institution as a whole need to improve the learning environment and programme quality. This study contributes to the research field by adding another perspective in evaluations of web-based learning. It also provides empirical evidence on student perspectives, learning and behaviour in a private university. It demonstrated that the Kirkpatrick's model is useful as an evaluation tool to be used in higher education.

Improvements in Web Based ERP Software Architecture as Implemented on the Cloud

2017 ◽  
Vol 7 (11) ◽  
pp. 22
Author(s):  
Shruti Makarand Kanade
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Cloud Computing ◽  
Software Architecture ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Web Based ◽  
Manufacturing Company ◽  
Erp Software

 Cloud computing is the buzz word in today’s Information Technology. It can be used in various fields like banking, health care and education. Some of its major advantages that is pay-per-use and scaling, can be profitably implemented in development of Enterprise Resource Planning or ERP. There are various challenges in implementing an ERP on the cloud. In this paper, we discuss some of them like ERP software architecture by considering a case study of a manufacturing company.

Patient and Provider Perspectives Regarding Criteria for Patient Prioritization in Rehabilitation Programs (Preprint)

2019 ◽  
Author(s):  
Julien Déry ◽  
Angel Ruiz ◽  
François Routhier ◽  
Marie-Pierre Gagnon ◽  
André Côté ◽  
...  
Keyword(s):  
Service Providers ◽  
Quebec City ◽  
Web Based ◽  
Rehabilitation Programs ◽  
Provider Perspectives ◽  
Patient Prioritization ◽  
Services Sociaux ◽  
Multiple Case ◽  
Patient And Provider Perspectives

BACKGROUND Queueing patients on waiting lists is a common practice to manage access to rehabilitation services. To increase fairness and equity in access, a strategy emerging from the literature is patient prioritization. The goal is for patients with the greatest needs to be treated first and for patient wait times to be determined objectively on the basis of explicit criteria. Selecting criteria, however, is a complex task because it is important to simultaneously consider the objectives of all stakeholders. OBJECTIVE The aim of this study was to compare service users’ and service providers’ perspectives regarding patient prioritization criteria in two rehabilitation programs. METHODS We conducted a multiple case study in two rehabilitation programs at the Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale in Quebec City (Canada), i.e. a driving evaluation program (DEP) and a compression garment manufacturing program (CGMP). We sent a web-based survey asking two groups (patients and providers) of informed stakeholders to individually produce a set of criteria. We then conducted an inductive thematic analysis where each group’s individual answers were coded and combined in a single set of criteria. RESULTS Stakeholders from the DEP identified a total of 22 criteria to prioritize patients while those from the CGMP listed 27 criteria. Providers shared 76% of the criteria mentioned by patients. Some criteria, such as age, occupation, functional level, pain, absence of caregiver, and time since referral, were considered important by both stakeholders in both programs. CONCLUSIONS Patients and providers tended to have similar opinions about a majority of the criteria to prioritize patients in waitlists. Nonetheless, our study confirms that patients and providers base their choices on different types of knowledge and values, which explains some of the differences observed. Taking into consideration the opinions of all stakeholders concerning prioritization criteria is an important part of the decision-making process, based on a multiple constituency approach.

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