COINS 2019: International Conference on Omni-layer Intelligent systems
- Call for paper, ranking, acceptance rate,
submission deadline, notification date, conference location, submission guidelines, and other important details
This article provides the call for paper, ranking, acceptance rate,
submission deadline, notification date, conference location, submission guidelines, and other important details of COINS 2019: International Conference on Omni-layer Intelligent systems all at one place.
Conference Location
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Crete, Greece
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Conference Date
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2019-05-05
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Notification Date
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2019-01-31
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Submission Deadline
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2018-12-31
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Conference Website and Submission Link
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http://coinsconf.com/
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Conference Ranking
International Conference on Omni-layer Intelligent systems ranking based on CCF, Core, and Qualis is shown below:
CCF Ranking
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Core Ranking
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Qualis Ranking
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Click here to check the ranking of any conference.
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About CCF Ranking: The Chinese Computing Federation (CCF) Ranking provides a ranking of peer-reviewed journals and conferences in the field of computer science.
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About Core Ranking: The CORE Conference Ranking is a measure to assess the major conference in the computing field. This ranking is governed by the CORE Executive Committee. To know more about Core ranking, visit Core ranking portal.
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About Qualis Ranking: This conference ranking is published by the Brazilian ministry of education. It uses the h-index as a performance metric to rank conferences. Conferences are classified into performance groups that range from A1 (to the best), A2, B1, B2,..., B5 (to the wost). To know more about qualis ranking, visit here
Conference Acceptance Rate
Below is the acceptance rate of International Conference on Omni-layer Intelligent systems conference for the last few years:
Year |
Submitted Papers |
Accepted Papers |
Accepted Percentage/Acceptance Rate |
We are working hard to collect and update the acceptance rate details of the conferences for recent years. However, you can consider the above (if available) acceptance rates to predict the average chances of acceptance of your research paper at this conference.
Conference Call for paper
SCOPEThe Intelligent Internet of Things (IoT) tsunami is affecting every aspect of our daily lives, ranging from smart cars, smart homes, smart cities, smart factories to smart health, and smart environments. Although IoT vastly expanded the possibilities to fulfill many of our needs, numerous challenges still should to be addressed in order to develop smart, consistent, suitable, safe, flexible and power-efficient systems. To enable this transformation and to better understand the untapped opportunities, the interdisciplinary landscape of IoT demands a large number of significant technological advancements in the hardware and software communities to come together and to synergize their efforts. COINS focuses on novel omni-layer techniques for smart IoT systems, by identifying new perspectives and highlighting impending research issues and challenges. In particular, this conference addresses all-important aspects of novel IoT technologies from Connected Devices, to Edge/Fog, Cloud, and application, covering manufacturing, materials, CMOS and beyond-CMOS devices, architecture, embedded systems, reconfigurable hardware, network, cloud, Omni-layer artificial intelligence and machine learning, big data, emerging applications, as well as human-machine interaction. COINS also discusses the associated challenges that need to be overcome for achieving the goal of accuracy, privacy, reliability and security. The three-day COINS event consists of a conference with plenary keynote speakers, invited papers, regular papers, panels, special hot-topic sessions, and workshops.TRACKS and TOPICSTopics of interest include, but are not limited to
Track 1: Internet of Things: From Device, to Edge, and Cloud
Network Design and Architecture
Software Architecture and Middleware
Mobile Services
Data and Knowledge Management
Context-awareness and Location-awareness
Security, Privacy and Trust
Performance Evaluation and Modeling
Networking and Communication Protocols
Machine to Machine Communications
Intelligent Systems for IoT and Services Computing
Energy Efficiency
Social Implications for IoT
Future of IoT and Big Data
Technological focus for Smart Environments
Next Generation Networks
Smart City Examples and Case Studies
Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
Architecture for secure and interactive IoT
Intelligent Infrastructure and Guidance Systems
Traffic Theory, Modeling and Simulation
Sensor Networks, Remote Diagnosis and Development
Transportation Management
Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City
Track 2: Omni-Layer Security, Privacy, and Trust
Algorithms, software engineering and development
System design and implementation
Testing (software engineering; penetration; product development)
Encryption (all aspects)
Firewall, access control, identity management
Experiments of using security solutions and proof-of-concepts
Large-scale simulations in the Cloud, Big Data and Internet of Things
Intrusion and detection techniques
Social engineering and ethical hacking: techniques and case studies
Software engineering for security modeling, business process modeling and analytics
Trust and privacy
Location-based privacy
Data security, data recovery, disaster recovery
Adoption challenges and recommendation
Information systems related issues
Conceptual frameworks and models
Emerging issues and recommendations for organizational security
E-Commerce and online banking
Social network analysis, emerging issues in social networks
Education and e-Learning
Surveys and their quantitative analysis
Architecture (technical or organizational)
Case Studies
Track 3: Omni-layer Reliability in IoT Era
Reliability physics of materials, CMOS and beyond-CMOS devices, and circuits
Reliability and security of specialized cache/memory/storage systems, under stringent energy constraints
Reliability and security of circuits including digital, mixed-signal, and RF
Omni-layer dependability validation, failure/security analysis techniques, modeling methodologies, and simulation techniques
Design for security (e.g., hardware Trojans, interaction between test, security, and reliability, etc.)
Adaptive, reconfigurable designs, enabling runtime selection of operation mode and reliability/security
Application-specific accelerators designs
High-performance, low power designs for secure and reliable applications
Architectural approaches for security and reliability
Algorithm and software (e.g. applications; middleware; and operating systems)
Reliability and security clouds systems in IoT era
Case studies for reliable and secure IoT systems (e.g., aerospace, aerial, medical, automobile, communications, energy, smart grids, etc.)
Track 4: VLSI, EDA, Embedded Systems, and Computer Architecture
System Specification and Modeling
System Design, High-Level Synthesis and Optimization
High-Level, Behavioral, and Logic Synthesis and Optimization
Low Power and Approximate Computing in System Design
System Design Issues for Heterogeneous Computing
System Simulation and Validation
Formal Methods and System Verification
Cell-Library Design, Partitioning, Floor-planning, Placement
Clock Network Synthesis, Routing, and Post-Layout Optimization and Verification
Design and Test for Analog and Mixed-Signal Systems and Circuits
Power Modeling, Optimization and Low-Power Design
Temperature and Variability Aware Design and Optimization
Embedded System Design Methodologies
Reconfigurable Computing
Domain and Application-specific Design
Logical and Physical Analysis and Design
Architectural and Micro-architectural Design
System-on-chip Design and HW/SW Co-design
Processor, Memory, Storage, Interconnect Designs
Architectures for Instruction-level, Thread-level and Memory-level Parallelism
Large-scale System Architecture
Compilers and Embedded Systems Software
Performance Evaluation and Measurement of Real Systems
Operating Systems and Middleware
QoS Management and Performance Analysis
Design for Manufacturability
Timing, Power and Signal Integrity Analysis and Optimization
CAD for Analog/Mixed-Signal/RF and Multi-Domain Modeling
Design for Reliability
CAD for Cyber-Physical Systems
Architectural Support for Programming Languages and Operating Systems
Emerging devices, circuits, and architectures for IoT, Big Data, machine learning, and approximate computing
Biological Systems and Electronics, Brain Inspired Computing, and New Computing Paradigms
New and Emerging Design Technologies
Emerging Technologies for Future Memories
Application areas, e.g., automotive, avionics, energy, health care, mobile devices, multimedia and autonomous systems
Track 5: Real-time Systems
Scheduling Design and Analysis
Real-Time Operating Systems
Hypervisors and Middle-wares
Virtualization and Timing Isolation
Mixed-Criticality Design & Assurance
Worst-Case Execution Time Analysis
Real-Time Networks and Communication Protocols
Processor Design for Real-Time Systems
Power/Energy/Thermal-aware Algorithms
Modeling and/or Formal Methods
Industrial Use-Cases and Real-Time Applications
Tools, Compilers and Benchmarks for Embedded System
Track 6: Alternative and Approximate Computing
IoT-aware nano-CMOS and beyond-CMOS devices, sensors, and circuits
Specialized and modern memory systems for IoT (e.g., Memristor, STT-RAM, FeRAM, etc.)
Sub-and near-threshold computing in the IoT regime
Reconfigurable embedded sensing and actuating, enabling runtime selection of quality, operation mode and parameter settings of IoT devices
Alternative architectures for IoT-specific Big Data search, predictive analytics, deep learning, high dimensional data, feature selection, and feature transformation
IoT-specific approximate design, exploration and optimization
Accelerators for IoT (e.g., learning, neuromorphic and cognitive computing)
Brain-inspired and neuromorphic components, circuits, and systems for IoT
Case studies for alternative computing in the IoT era
Track 7: Cloud Computing
Cloud computing fundamentals e.g., Application Portability, privacy and security, Interoperability, Standards, QoS, and Resource Management
Cloud operations, management Platforms, Reliability, Cloud Automation, Hybrid Clouds and Integration
Edge an fog computing
Service modeling and analytics e.g., Service Modeling and Specification, Service Simulation, Cost Analysis, Service Performance Analytics
Mobile cloud computing
Mobile Cloud Architectures and Models
Mobile Commerce, Handheld Commerce and e-markets on Cloud
Cloud computing platforms and applications such as Access Control, Design Patterns, Data Centers, Storage and Networking Technologies, Middleware Frameworks, and Development Methods
Cloud computing enabling technologies such as API Management, Virtualization Technologies, Application Containers, Microservices and Lambda Functions, Cloud Optimization and Automation, Cloud Migration, Monitoring of Services, Quality of Service, Service Level Agreements
Track 8: Programming Language and Software Engineering
Agile software development – Apps and app store analysis
Autonomic and (self-) adaptive systems – Cloud computing
Component-based software engineering – Configuration management and deployment
Crowd sourced software engineering – Cyber physical systems
Debugging, fault localization, and repair – Dependability, safety, and reliability
Distributed and collaborative software engineering – Embedded software
Empirical software engineering – End-user software engineering
Formal methods – Green and sustainable technologies
Human and social aspects of software engineering – Human-computer interaction
Middleware, frameworks, and APIs – Mining software engineering repositories
Mobile applications – Model-driven engineering
Parallel, distributed, and concurrent systems – Performance
Program analysis – Program comprehension
Program synthesis – Programming languages
Recommendation systems – Refactoring
Requirements engineering – Reverse engineering
Search-based software engineering – Security, privacy and trust
Software architecture – Software economics and metrics
Software evolution and maintenance – Software modeling and design
Software performance – Software process
Software product lines – Software reuse
Software services – Software testing
Software visualization – Specification and modeling languages
Tools and environments – Traceability
Ubiquitous/pervasive software systems – Validation and verification
Track 9: Big Data
Big Data fundamentals – Services Computing, Techniques, Recommendations and Framework
Modeling, Experiments, Sharing Technologies & Platforms
SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
Data Center Enabled Technologies
Sensor, Wireless Technologies, APIs
Networking and Social Networks
Data Management for Large Data
Security, Privacy and Risk
Software Frameworks (MapReduce, Spark etc) and Simulations
Modern Architecture
Volume, Velocity, Variety, Veracity and Value
Social Science and Implications for Big Data
Track 10: Artificial Intelligence, Machine Learning, Cognitive Computing, and Advanced Analytics
Mobile Data analysis, management and processing for IoT
Information fusion for mobile data for IoT
Deep learning models, architectures and algorithms for Big Data for IoT
Brain-inspired representations learning of Big Data for IoT
Edge/for/cloud computing for Big Data and Smart Data for IoT
Security, privacy and trust in Big Data and Smart Data for IoT
Security, privacy and trust in Internet of Things
Streaming data learning algorithms for IoT
Intelligent decision-making systems for Big Data and Smart Data in IoT
Prediction methods for Big Data and Smart Data applications in IoT
Evolutionary computing in Big Data in IoT
Swarm Intelligence and Big data for IoT
Handling uncertainty and incompleteness in Big Data and Smart Data for IoT
Applications of Fuzzy Set theory, Rough Set theory, and Soft Set theory in Smart Data for IoT
Open issues for Smart Data in IoT
Swarm Intelligence algorithms for cloud-based Internet of Things
Machine learning for cloud-based Internet of Things
Multi-agent systems for cloud-based Internet of Things
Natural language processing for cloud-based Internet of Things
Cognitive aspects of AI in cloud-based Internet of Things
Intelligent interfaces for cloud-based Internet of Things
Fuzzy systems for cloud-based Internet of Things
Neural networks for cloud-based Internet of Things
Genetic algorithms for cloud-based Internet of Things
Deep learning for cloud-based Internet of Things
Heterogeneous memory systems design for AI in cloud-based Internet of Things
Track 11: Evolutionary Computer Vision, Image Processing and Pattern Recognition
3D Reconstruction
3D Models processing
Augmented and Virtual Reality applications
Robotic applications
Serious Game for Cultural Heritage
Advanced Image enhancement and de-noising
Advanced Image classification and retrieval
Semantic segmentation
Virtual restoration
Image processing
Edge detection
Image segmentation
Automatic feature extraction and construction in complex images
Object identification and scene analysis
Object detection and classification
Handwritten digit recognition and detection
Vehicle plate detection
Face detection and recognition
Texture image analysis
Automatic target recognition
Gesture identification and recognition
Robot vision
Signal Processing
Typical pattern recognition tasks such as classification, regression and clustering
Feature selection/construction and dimensionality reduction
Generalization, transfer learning, and domain adaptation
Medical and bio-medical data analysis
Track 12: Automation Systems
Automated Guided Vehicles
Embedded Systems
Factory Modeling and Automation
Flexible Manufacturing Systems
Integrated Manufacturing
Interfaces and Human Computer Interaction
Learning Systems, Manufacturing Systems
Monitoring and Supervision
Process Automation
Robotics
Smart Structures
Factory modeling, analysis and performance evaluation
Industry 4.0 and Cyber-Physical Systems
Intelligent cooperation to resource planning & allocation
Service innovation
Product and process optimization based on IoT and big data analytics
Track 13: Automotive Systems
Automotive Design Tools and Methodologies
Automotive Systems & Software Architectures
Safety, Security, and Reliability
Overview of current efforts to build self-driving vehicles;
Historical perspective with an emphasis on trends, and technological and societal impacts;
Scaling the technology to real-world situations
Cloud-based vehicle autonomy
Learning technology’s role in self-driving vehicles
Generalizing from small numbers of examples or small amounts of data
Sensing systems’ and perception algorithms’ successes and limitations
The role of and technology for machine reasoning and decision making
Simulation models for sensors, vehicles, environments, and other elements
Self-driving systems’ computational and power requirements
How to verify and validate autonomous functions, measure performance, and build trust
The role of maps and vehicle-to-vehicle infrastructure
Ethical and legal considerations from a technology perspective
Track 14: Intelligent IoT eHealth
Internet of things for medical and healthcare applications
Novel devices and circuits, and architectural support for healthcare-aware IoT
Nano-CMOS and Post-CMOS based sensors, circuits, and controller
Wearable and implantable computing and biosensors
Cloud-enabled body sensor networks
Secure middleware for eHealth and IoT
Energy-efficient PHY/MAC and networking protocols for eHealth applications
Reprogrammable and reconfigurable embedded systems for eHealth
eHealth traffic characterization
eHealth oriented software architectures (Agent, SOA, Middleware, etc.)
Big-data analytics, machine learning algorithms and scalable/parallel/distributed algorithms
Theory and practice of engineering semantic e-health systems, especially methods, means and best cases
Fog computing/Edge clouds for health care cloud resource allocation and monitoring
Privacy preserving and Security approaches for large scale analytics
Fault tolerance, reliability and scalability
Case studies of smart eHealth architectures (telemedicine applications, health management applications, etc.)
Autonomic analysis, monitoring and situation alertness
Track 15: Enterprise Architecture
Enterprise Engineering
Enterprise Architecture Models and Frameworks
Enterprise Knowledge Engineering and Management
Business Modelling and Business Process Management
Enterprise Architecture Adoption and Governance
Enterprise Architecture and Organizational Theory and System Development
Enterprise Architecture and Service Oriented Architecture (SOA)
Methods, Processes and Patterns for Enterprise Architecture Development
Measurements, Metrics and Evaluation of Enterprise Architecture Plan
Business-Information Technology (IT) Alignment
Architectures and Design Principles for Enterprise Repositories
Agile Enterprise Architecture
Maturity Models for Enterprise Architecture Artifacts and Processes
Evolution of Enterprise Architecture
Submission Deadline
COINS 2019: International Conference on Omni-layer Intelligent systems submission deadline is 2018-12-31.
Note: It is generally recommended to submit your conference paper
on or before the submission deadline. Generally, conferences do not
encourage to submit the research paper after the deadline is over.
In rare scenarios, conferences extend their deadline. Decision about the
extension of the deadline is generally updated on the official conference webpage.
Notification date
Notification date of COINS 2019: International Conference on Omni-layer Intelligent systems is 2019-01-31.
Note: This is the date on which conference announces the result about acceptance or rejection of submitted papers. If your research paper is accepted, the conference will request you to submit the camera ready version of your research paper by the due date. Due date to submit the camera ready version of the paper is generally posted on the official web page of the conferences or notified to you via. email.
Conference Date
COINS 2019: International Conference on Omni-layer Intelligent systems will start on 2019-05-05.
Note: This is the date on which the conference starts.
Conference Location
COINS 2019: International Conference on Omni-layer Intelligent systems will be organized at Crete, Greece. This is the place where the conference is organized and the research paper is to be presented.