8 Developing and Negotiating SMART Client Goals and Formulating a Contract

2020 ◽  
pp. 83-96
Keyword(s):  
Smart Client

LIRKIS Global Collaborative Virtual Environments: Current State and Utilization Perspective

2020 ◽  
Vol 11 (1) ◽  
pp. 99-106
Author(s):  
Marián Hudák ◽  
Štefan Korečko ◽  
Branislav Sobota
Keyword(s):  
Virtual Reality ◽  
Virtual Environments ◽  
Smart Devices ◽  
Collaborative Virtual Environments ◽  
Web Based ◽  
Smart Client ◽  
Input Devices ◽  
User Input ◽  
History Of ◽  
Shared Virtual Environments

AbstractRecent advances in the field of web technologies, including the increasing support of virtual reality hardware, have allowed for shared virtual environments, reachable by just entering a URL in a browser. One contemporary solution that provides such a shared virtual reality is LIRKIS Global Collaborative Virtual Environments (LIRKIS G-CVE). It is a web-based software system, built on top of the A-Frame and Networked-Aframe frameworks. This paper describes LIRKIS G-CVE and introduces its two original components. The first one is the Smart-Client Interface, which turns smart devices, such as smartphones and tablets, into input devices. The advantage of this component over the standard way of user input is demonstrated by a series of experiments. The second component is the Enhanced Client Access layer, which provides access to positions and orientations of clients that share a virtual environment. The layer also stores a history of connected clients and provides limited control over the clients. The paper also outlines an ongoing experiment aimed at an evaluation of LIRKIS G-CVE in the area of virtual prototype testing.

Implementation of CTR Dairy Model Using the Visual Basic for Application Language of Microsoft Excel

2018 ◽  
Vol 9 (3) ◽  
pp. 74-86 ◽  
Author(s):  
A. Ahmadi ◽  
P. H. Robinson ◽  
F. Elizondo ◽  
P. Chilibroste
Keyword(s):  
Visual Basic ◽  
Simulation Software ◽  
Access Time ◽  
Dairy Farmers ◽  
Microsoft Excel ◽  
Smart Client ◽  
Dynamic Simulation Model ◽  
Dairy Nutrition ◽  
Ruminal Digestion ◽  
Visual Basic For Application

The goal of the article is to implement the CTR Dairy model using the Visual Basic for Application (VBA) language of Microsoft Excel. CTR Dairy is a dynamic simulation model for grazing lactating dairy cows that predicts milk production and profit over feeding based on ruminal digestion and absorption of nutrients under discontinuous feeding schedules. The CTR Dairy model was originally developed as a research tool using a proprietary computer simulation software called SMART that required the SMART client to run the program. As SMART software is now discontinued, and its client is no longer available, rewriting the model in the VBA language using Microsoft Excel for inputs and outputs makes the program available to a broad range of users including dairy farmers, extension advisors, dairy nutrition consultants and researchers. Dairy farmers can use the new version of the CTR Dairy program to manipulate the herbage allowance and the access time to the grazing paddock, as well as the timing of supplemental feeding, to improve the utilization of the pasture and to increase the production of the milk.

Application Framework of Manufacturing Enterprise Information System Based .NET Smart Client

2011 ◽  
Vol 135-136 ◽  
pp. 300-304
Author(s):  
Dan Ren ◽  
Yuan Ren ◽  
Yang Fan
Keyword(s):  
Information System ◽  
Application Framework ◽  
Client Application ◽  
Enterprise Information System ◽  
Enterprise Information ◽  
Smart Client ◽  
Manufacturing Enterprises ◽  
Deployment Strategy ◽  
Framework Model ◽  
System Requirements

It first reviews the characteristic of manufacturing enterprises. Then it discusses the features and advantages of .Net smart client technology. Based on analysis of the manufacturing enterprises information system requirements, a new application framework of multi-tier distributed system was proposed, the framework model and tier deployment strategy are also given. The proposed framework is easy to be deployed and expanded, it also can be intelligent installation and update, and supports occasionally connected users，and easy to be reused by information system. Next, it introduces a method of how to design and build smart client application use Microsoft Application Block; it can simplify the coding efficiently. Last, the key technologies are demonstrated.

Study on an Improved Integration Architecture of the Collaborative Sales Management System Based on Auto-Industry

2011 ◽  
Vol 216 ◽  
pp. 497-501
Author(s):  
Min Han ◽  
An Sheng Li ◽  
Nan Li
Keyword(s):  
System Application ◽  
Management System ◽  
Sales Management ◽  
Auto Industry ◽  
Application Service Provider ◽  
Smart Client ◽  
Existing Problems ◽  
Application Service ◽  
Integration Architecture ◽  
Key Technologies

The paper explains and demonstrates an improved integration architecture based on the Smart Client, for the current situation and the existing problems of the collaborative sales management system based on ASP (Application Service Provider, ASP) platform of auto-industry. The key technologies and strategies such as off-line supporting, smart deploying and updating for system application are explained, which are proved feasibly by practice.

Design and Implementation of Bohai Oil Spill Emergency Response Platform Based on Smart Client

2014 ◽  
Vol 1073-1076 ◽  
pp. 2276-2281
Author(s):  
Xi Fang Jin ◽  
Dong Lin Guo ◽  
Shuo Wang ◽  
Juan Huang ◽  
Yi Zhang ◽  
...  
Keyword(s):  
Emergency Response ◽  
Oil Spill ◽  
Bohai Sea ◽  
Oil Pollution ◽  
Decision Makers ◽  
Smart Client ◽  
Gis Technologies ◽  
Analytical Functions ◽  
Economic Area ◽  
Emergency Actions

Bohai Sea is a fragile ecological and economic area with frequent oil pollution. On the basis of the actual business demands of oil spill emergency companies in Bohai, this paper puts forward to building the oil spill emergency response platform with "decision-makers view", which created an extendable emergency platform with Smart Client framework suitable for multi department cooperation and growing applications. The platform contains four main modules: (I) forecast and decision; (II) decision supports; (III) auxiliary supports; (IV) framework management. At the same time, the platform realizes many kinds of auxiliary analytical functions such as monitoring analysis, sensitive area analysis, case analysis, resource allocation etc with WebService and GIS technologies. It automatically provides a comprehensive decision list to the decision-maker before emergency actions. The application of the platform will shorten much time of the emergency preparation compared with manual brain decision, and improve the efficiency of the oil spill emergency greatly.

Sign in / Sign up

Export Citation Format

Share Document