Important Dates:


 Paper submission due:

Aug 30, 2018


 Acceptance notification due:

Sep 10, 2018


 Final submission due:

Sep 30, 2018


 Registration due:

Sep 30, 2018


 Conference date:

December 10-12, 2018

Contact Us:

 

E-mail: iicspi@126.com
Teacher Lai,
Tel:+86-13883543721  
Secretary Zhao,
Tel:+86-18636811987


Topics


 

Safety Produce Informatization is become the frontier of industrial development, the objective of IICSPI 2018 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Safety Produce Informatization. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.
The main topics included but no limited:

 

Topic 1: Computing Science
Mathematical modeling
Model fitting
Dependable computing
Information security
Data analysis
Scientific computing software
Optimization calculation
Data mining
Numerical simulation


Topic 2: The Internet of Things
Sensor technology
Radio frequency identification
Wireless sensor network
Embedded software and systems
Big data
Cloud computing
Mobile Internet technology
Networking control technology
Electronic technology


Topic 3: Measurement and Control Technology
Signal acquisition
Signal conversion
Signal processing
Process control
Intelligent instrument
Advanced control technology
Online analysis instrument
Process optimization
Fault diagnosis


Topic 4: Security Engineering
Security Objectives
Security Design Guidelines
Security Modeling
Security Architecture and Design Review
Security Code Review
Security Testing
Security Tuning
Security Deployment Review


Topic 5: Safety Production Robot
Industrial robot application products and solutions
Industrial robot development and software applications
Industrial robot functional units and components


Topic 6: Artificial Intelligence
Designing AI-enabled products or incorporating AI into existing data products
Improvements in conversational interfaces
Reinforcement learning & applying machine learning in highly dynamic environments
Unlocking data through image recognition, computer vision, and classification