The Design of High-Level Database Access Method in a Web-Based 3D Object Authoring Tool

2002 ◽  
pp. 204-214 ◽  
Author(s):  
Boon-Hee Kim ◽  
Jun Hwang ◽  
Young-Chan Kim
Keyword(s):  
Authoring Tool ◽  
Database Access ◽  
Access Method ◽  
Web Based ◽  
3D Object ◽  
High Level

Student Assessment of Learning Gains (SALGains)

2005 ◽  
Vol 68 (1) ◽  
pp. 36-43 ◽  
Author(s):  
Gayle Vogt ◽  
Catherine Atwong ◽  
Jean Fuller
Keyword(s):  
Student Perception ◽  
Student Assessment ◽  
Business Communication ◽  
Online Classes ◽  
Learning Gains ◽  
Web Based ◽  
Assessment Of Learning ◽  
High Level

Student Assessment of Learning Gains (SALGains) is a Web-based instrument for measuring student perception of their learning in a variety of courses. The authors adapted this instrument to measure students’ achieved proficiency in analyzing cases in an advanced business communication class. The instrument showed that students did achieve a high level of proficiency and that they did so equally in both traditional and online classes.

scholarly journals Deep-Framework: A Distributed, Scalable, and Edge-Oriented Framework for Real-Time Analysis of Video Streams

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4045
Author(s):  
Alessandro Sassu ◽  
Jose Francisco Saenz-Cogollo ◽  
Maurizio Agelli
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Video Data ◽  
Video Analytics ◽  
Web Based ◽  
Real Time Analysis ◽  
Open Source Framework ◽  
Cluster Configuration ◽  
Time Requirements ◽  
High Level

Edge computing is the best approach for meeting the exponential demand and the real-time requirements of many video analytics applications. Since most of the recent advances regarding the extraction of information from images and video rely on computation heavy deep learning algorithms, there is a growing need for solutions that allow the deployment and use of new models on scalable and flexible edge architectures. In this work, we present Deep-Framework, a novel open source framework for developing edge-oriented real-time video analytics applications based on deep learning. Deep-Framework has a scalable multi-stream architecture based on Docker and abstracts away from the user the complexity of cluster configuration, orchestration of services, and GPU resources allocation. It provides Python interfaces for integrating deep learning models developed with the most popular frameworks and also provides high-level APIs based on standard HTTP and WebRTC interfaces for consuming the extracted video data on clients running on browsers or any other web-based platform.

scholarly journals The Uptake and Vaccination Willingness of COVID-19 Vaccine among Chinese Residents: Web-Based Online Cross-Sectional Study

Vaccines ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 90
Author(s):  
Yi Kong ◽  
Hao Jiang ◽  
Zhisheng Liu ◽  
Yi Guo ◽  
Dehua Hu
Keyword(s):  
Health Status ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Personal Health ◽  
Binary Logistic Regression Analysis ◽  
Snowball Sampling ◽  
Cross Sectional ◽  
Web Based ◽  
The Difference ◽  
High Level

Objective: To investigate the uptake and vaccination willingness of the COVID-19 vaccine among Chinese residents and analyze the difference and factors that impact vaccination. Methods: The snowball sampling method was used to distribute online questionnaires. Relevant sociodemographic data along with the circumstances of COVID-19 vaccination were collected from the respondents. The χ2 test, independent samples t test and binary logistic regression analysis were used to analyze the data. Results: Among 786 respondents, 84.22% had been vaccinated. Over 80% of the vaccinated population have completed all the injections because of supporting the national vaccination policies of China, while the unvaccinated population (23.91%) is mainly due to personal health status. Meanwhile, statistical analysis revealed that the main predictors of not being vaccinated were younger age (3 to 18 years old), personal health status, and lower vaccinated proportion of family members and close friends (p < 0.05). Conclusions: There was a high level of uptake of the COVID-19 vaccine in China, and people who have not been vaccinated generally had a low willingness to vaccinate in the future. Based on our results, it suggested the next work to expand the coverage of the COVID-19 vaccination should be concentrated on targeted publicity and education for people who have not been vaccinated.

scholarly journals HyCo – An Authoring Tool to Create Semantic Learning Objects for Web-Based E-learning Systems

2004 ◽  
pp. 344-348 ◽  
Author(s):  
Francisco J. García ◽  
Adriana J. Berlanga ◽  
Maria N. Moreno ◽  
Javier García ◽  
Jorge Carabias
Keyword(s):  
Learning Objects ◽  
Learning Systems ◽  
Authoring Tool ◽  
Web Based ◽  
Semantic Learning ◽  
E Learning

Agent Support for Design of Aircraft Parts

1998 ◽  
Author(s):  
Krishna N. Jha ◽  
Andrea Morris ◽  
Ed Mytych ◽  
Judith Spering
Keyword(s):  
Preliminary Design ◽  
Formal Representation ◽  
Web Based ◽  
Agent Based ◽  
Multi Agent ◽  
High Level ◽  
Legacy Applications ◽  
The Cost ◽  
And Control ◽  
Task Structures

Abstract Designing aircraft parts requires extensive coordination among multiple distributed design groups. Achieving such a coordination is time-consuming and expensive, but the cost of ignoring or minimizing it is much higher in terms of delayed and inferior quality products. We have built a multi-agent-based system to provide the desired coordination among the design groups, the legacy applications, and other resources during the preliminary design (PD) process. A variety of agents are used to model the various design and control functionalities. The agent-representation includes a formal representation of the task-structures. A web-based user-interface provides high-level interface to the users. The agents collaborate to achieve the design goals.

Making E-Training Cost Effective through Quality Assurance

2009 ◽  
pp. 623-631
Author(s):  
Lichia Yiu ◽  
Raymond Saner
Keyword(s):  
High Performance ◽  
Cost Effective ◽  
Web Based ◽  
Corporate Learning ◽  
Use Of Technology ◽  
Training Cost ◽  
E Learning ◽  
American Society ◽  
High Level ◽  
The Cost

Since the 1990s, more and more corporate learning has been moved online to allow for flexibility, just-in-time learning, and cost saving in delivering training. This trend has been evolved along with the introduction of Web-based applications for HRM purposes, known as electronic Human Resource Management (e-HRM). By 2005, 39.67% of the corporate learning, among the ASTD (American Society for Training and Development) benchmarking forum companies, was delivered online in comparison to 10.5% in 2001. E-learning has now reached “a high level of (technical) sophistication, both in terms of instructional development and the effective management of resources” in companies with high performance learning function (ASTD, 2006, p.4). The cost per unit, reported by ASTD in its 2006 State of Industry Report, has been declining since 2000 despite the higher training hours received per employee thanks to the use of technology based training delivery and its scalability. However, the overall quality of e-learning either public available in the market or implemented at the workplace remains unstable.

BOT: The building topology ontology of the W3C linked building data group

Semantic Web ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 143-161 ◽  
Author(s):  
Mads Holten Rasmussen ◽  
Maxime Lefrançois ◽  
Georg Ferdinand Schneider ◽  
Pieter Pauwels
Keyword(s):  
Information Exchange ◽  
Real Life ◽  
3D Models ◽  
Maturity Level ◽  
Community Group ◽  
Web Based ◽  
Building Models ◽  
Building Information ◽  
Level 3 ◽  
High Level

Actors in the Architecture, Engineering, Construction, Owner and Operation (AECOO) industry traditionally exchange building models as files. The Building Information Modelling (BIM) methodology advocates the seamless exchange of all information between related stakeholders using digital technologies. The ultimate evolution of the methodology, BIM Maturity Level 3, envisions interoperable, distributed, web-based, interdisciplinary information exchange among stakeholders across the life-cycle of buildings. The World Wide Web Consortium Linked Building Data Community Group (W3C LBD-CG) hypothesises that the Linked Data models and best practices can be leveraged to achieve this vision in modern web-based applications. In this paper, we introduce the Building Topology Ontology (BOT) as a core vocabulary to this approach. It provides a high-level description of the topology of buildings including storeys and spaces, the building elements they contain, and their web-friendly 3D models. We describe how existing applications produce and consume datasets combining BOT with other ontologies that describe product catalogues, sensor observations, or Internet of Things (IoT) devices effectively implementing BIM Maturity Level 3. We evaluate our approach by exporting and querying three real-life large building models.

scholarly journals 3D-GIoU: 3D Generalized Intersection over Union for Object Detection in Point Cloud

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4093 ◽  
Author(s):  
Jun Xu ◽  
Yanxin Ma ◽  
Songhua He ◽  
Jiahua Zhu
Keyword(s):  
Object Detection ◽  
Point Cloud ◽  
Pedestrian Detection ◽  
Three Dimensional ◽  
Average Precision ◽  
3D Object ◽  
Automatic Driving ◽  
3D Computer Vision ◽  
High Level ◽  
3D Object Detection

Three-dimensional (3D) object detection is an important research in 3D computer vision with significant applications in many fields, such as automatic driving, robotics, and human–computer interaction. However, the low precision is an urgent problem in the field of 3D object detection. To solve it, we present a framework for 3D object detection in point cloud. To be specific, a designed Backbone Network is used to make fusion of low-level features and high-level features, which makes full use of various information advantages. Moreover, the two-dimensional (2D) Generalized Intersection over Union is extended to 3D use as part of the loss function in our framework. Empirical experiments of Car, Cyclist, and Pedestrian detection have been conducted respectively on the KITTI benchmark. Experimental results with average precision (AP) have shown the effectiveness of the proposed network.

scholarly journals Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context

2019 ◽  
Vol 16 (4) ◽  
pp. 644 ◽  
Author(s):  
Sabina Asensio-Cuesta ◽  
Adrián Bresó ◽  
Carlos Saez ◽  
Juan García-Gómez
Keyword(s):  
Internal Consistency Reliability ◽  
Work Context ◽  
Web Based ◽  
Staff Members ◽  
Significant Difference ◽  
Depression Assessment ◽  
Working Community ◽  
High Level ◽  
The University ◽  
Web Based System

Depression is associated with absenteeism and presentism, problems in workplace relationships and loss of productivity and quality. The present work describes the validation of a web-based system for the assessment of depression in the university work context. The basis of the system is the Spanish version of the Beck Depression Inventory (BDI-II). A total of 185 participants completed the BDI-II web-based assessment, including 88 males and 97 females, 70 faculty members and 115 staff members. A high level of internal consistency reliability was confirmed. Based on the results of our web-based BDI-II, no significant differences were found in depression severity between gender, age or workers’ groups. The main depression risk factors reported were: “Changes in sleep”, “Loss of energy”, “Tiredness or fatigue” and “Loss of interest”. However significant differences were found by gender in “Changes in appetite”, “Difficulty of concentration” and “Loss of interest in sex”; males expressed less loss of interest in sex than females with a statistically significant difference. Our results indicate that the data collected is coherent with previous BDI-II studies. We conclude that the web-based system based on the BDI-II is psychometrically robust and can be used to assess depression in the university working community.

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