2nd Global Conference on Applied Computing in Science and Engineering

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活动简介

The 2nd Global Conference on Applied Computing in Science and Engineering (ACSE2) is organized by academics and researchers belonging to different scientific areas of the C3i/Polytechnic Institute of Portalegre (Portugal), the University of Extremadura (Spain) and the University of Las Palmas de Gran Canaria (Spain), with the technical support of ScienceKNOW Conferences. The event has has the objective of creating an international forum for academics, researchers and scientists from worldwide to discuss results and proposals regarding to the soundest issues related to Applied Computing in Science and Engineering. It will be held in Canary Islands from 26 to 28 July 2017.

This event will include the participation of renowned keynote speakers, oral presentations, posters sessions and technical conferences related to the topics dealt with in the Scientific Program as well as an attractive social and cultural program.

The papers will be published in the Proceedings e-book. Those communications considered of having enough quality can be further considered for publication in International Journals. At the authors' choice, those works not suitable for publication in any of the congress journals will be published in an Extended Abstracts book of the Conference.

The Conference will also have a space for companies and/or institutions to present their products, services and innovations. If you or your company is interested in participating of this exhibition, please contact the Technical Secretariat here.

征稿信息

征稿范围

1. Computer Applications in Science and Engineering

Computational earth and atmospheric sciences
Computational materials science and engineering
Computational astrophysics
Computational chemistry and physics
Computational fluid dynamics
Computation and data enabled social science
Computational design
Computer Science
Bioinformatics and computational biology
Applications, Business and Social Issues

2. Information Technology

Management Information Systems
Database and Data Management
Distributed Computer System
Computer Networks and Communication
Information Storage
Operating System
Information Technology for Biomedicine and Smart Health
Reliability, Security, Privacy and Trust
Web Technology

3. Measurement Technologies

Advances in Instrumentation and Measurement
Data Acquisition Systems
Signal Processing
Measurement and Instrumentation for Industrial Applications
Measurement Software
Measurement, Instrumentation, and Methodologies for Medical, Biomedical, and Healthcare Systems
Non-invasive Measurement

4. Modeling and Simulation

Systems Modeling
Statistical and Probabilistic Modelling
Numerical Methods
Mathematical Modelling
Multi-Paradigm Modelling
Environmental Modelling
Biomedical Modelling
Time series and system modeling

5. Software Design and Development

System Software and Software Engineering
Creating software architectures
Platforms, Design and Code
Identity & access control for web applications
Building software for the .NET platform
Microservices in practice.

6. Simulation Tools

Simulation methods: discrete, parallel and distributed, time synchronization, load balancing and migration, model partitioning, hybrid, interoperation, multi-resolution and multi-scale.
Simulation techniques: service-oriented, agent-based, web-based, component-based, symbiotic.
Simulation software: environments, tools, libraries, and frameworks.
Simulation performance: GPU-based, in the cloud, scalability.Modeling formalisms: DEVS, Petri Nets, process algebras, state charts, and others.
Simulation packages: Modelica, ns-2/3, OPNET, Qualnet, OMNET++.

7.Formal Methods

Formal methods in interdisciplinary frameworks
Formal methods in practice: Industrial applications
Tools for formal methods: automated verification and model-checking, tools integration, environments, and experimental validation.
Formal methods in software and systems engineering.
8.Networking and Internet of Things
Future Internet
Social Computing and Social Network
Web Technologies

9.Artificial Intelligence