Call for Papers: Special Issue on Industrial Internet of Things for Automotive Industry - New Directions, Challenges and Applications
摘要截稿:
全文截稿: 2019-03-30
影响因子: 6.471
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 工程技术 - 1区
• 小类 : 工程:机械 - 1区
Overview
Nowadays, Internet of Things (IoT) technology has been actively applied in the automotive industry to meet the new demands in the market while continuing to achieve their conservative businessgoals. The expansion of advanced manufacturing and mechanical systems and mechanical systems and has been continuously strapped to achieve a higher demand for specification. In recent years, there is a need for more product variability, better and more consistent products quality, globally competitive products, reduced product cost, and a shorter product life cycle. The Industrial Internet of Things (IIoT) has changed these scenarios using Cyber Physical Systems (CPS), in whichinteraction between machines, data, and people is possible. CPS connect the virtual and physical worlds using computation, networking, and physical processes. As Business Process Automationis linked, IIoT makes it possible to have communication (monitor or control) with factors external to the plant. In the field of applied industrial control, wireless sensor networks have clear advantages over traditional wired sensors.The main objective of this special issue is to collect state-of-the-art contributions on the latest research and development, up-to-date issues, and challenges in IIoT for Automotive Industry. We invite researchers from academia and industry to submit their high-quality works and research findings in the area of IoT in mechanical systems, signal Processing, civil engineering (future buildings and homes) and related applications.
Topics of Interest:
We welcome authors to present new techniques, methodologies, mixed method approaches andresearch directions unsolved issues. Topics of interest include, but are not limited to:
Emerging sensors in IIoT for Vibration & noise control
New applications of IIoT for Integrated systems
Simulation, engineering, training, and education tools for understanding ofmechanicalsystems
IIoT for industrial predictive maintenance
IIoT for vibration testing in cyber physical systems
Machine learning algorithms for signal detection and synchronization in cyber physical systems in IIoT
Machine learning algorithms for localization, positioning and tracking techniques in IIoT
Applications of IIoT in Mechanical, Aerospace, Industrial, and Civil engineering
Human machine interface in IIoT for industrial applications
Intelligent robots based- IIoT for industrial applications
Monitoring risky driving behavior using IIoT
Information perception and learning control for multi-agent robotic systems in automotive industry
Traffic safety and motor vehicle accident studies using big data analytics
Modeling of Intelligent Mechanical System using IIoT
Intelligent Cooperative Vehicle-Infrastructure Systems based IoT
Fault diagnosis and Prognostic Management in IIoT
Human-machine interfaces for sensors in IIoT
Smart manufacturing with low energy, pollution, and overall costs using IIoT
Smart maintenance, upgrades, delivery, reuse/disposal, and management using IIoT
Intelligent mechanical manufacturing system using IIoT
IoT for mechanical design procedure and manufacture
Various computational topics of methodologies and procedures of design in automotive industry
Machine diagnostics & reliability analysis using IIoT in the automotive industry
New applications of IIoT in automotive industry
Practical validations and experimental prototypes of IIoT in industrial applications