ICAS 2018 conference tracks:<br>SELFTRENDS: Toward brain–like autonomic and autonomous systems<br>Adaptive robust resource allocation; Optimal self–organized collective actions; Collective adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data–aware adaptation; Brain connectivity models; Using unbalanced Datasets; Quantum–inspired optimization; Automated (industrial) assembly environments; Deep neural networks; Multimodal knowledge of the brain; Self–organization in M2M infrastructures; Self–organizing socio–technical systems; Context–aware data self–adaptation; Multi–level loop encapsulation in smart systems; Uncertainty in self–adaptive systems; Adaptive Software defined systems (SDS) scalability; Adaptability in multi–tenant Clouds; Self–aware model–driven systems; Proactive self–adaptation; Self–adaptive urban traffic; Adaptive power profiling; Run–time for self–adaptive systems; Distributed adaptive systems; Self–improving system integration; Self–improving activity recognition systems; Feedback computing; Optimal feedback control; Dynamic adaptive applications; Self–managing Clouds; Decentralized autonomic behavior; Market–adaptive trust; Semantics of self–behavior; Self–organizing patterns; Stability propagation in self–organizing systems; Inconsistency in self–deciding systems; Reasoning problems tractability; Decidability in self–organizing systems<br>ROBOTRENDS: Robot–related trends<br>Autonomous aquatic agents; Aerial autonomous robots; Drones control and management; Knowledge–based robot motions; Autonomous mobile robot interaction; Humanoid robots; Intelligent robots; Self–reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust optimizations; Moral autonomous agents and human evolution; Cognitive robotics; Robot partnership; Affective communication robots; Human–centric robotics; Visually–impaired and robots; Evolutionary swarm robotics; Robots and human advices; Universal robot hands<br>SYSAT: Advances in system automation<br>Methods, techniques ant tools for automation features; Methodologies for automating of design systems; Industrial automation for production chains; Nonlinear optimization and automation control; Nonlinearities and system stabilization; Automation in safety systems; Structured uncertainty; Open and closed automation loops; Test systems automation; Theory on systems robustness; Fault–tolerant systems<br>UNMANNED: Driver–less cars and unmanned vehicles<br>Self–driving cars; Drones; Terrestrial unmanned vehicles; Unmanned aerial vehicles; Underwater unmanned vehicles; Unmanned sea surface vehicles; Collision control; Traffic surveillance challenges; Path planning and estimation; Communication between unmanned vehicles; Integration of unmanned aerial vehicles in civil airspace; Unmanned vehicular clusters; Designing unmanned vehicular–based systems; Safety of unmanned vehicles; Commercial and surveillance applications; Emergency applications; Legal aspects of unmanned vehicular systems; Testbeds and pilot experiments<br>AUTSY: Theory and Practice of Autonomous Systems<br>Design, implementation and deployment of autonomous systems; Frameworks and architectures for component and system autonomy; Design methodologies for autonomous systems; Composing autonomous systems; Formalisms and languages for autonomous systems; Logics and paradigms for autonomous systems; Ambient and real–time paradigms for autonomous systems; Delegation and trust in autonomous systems; Centralized and distributed autonomous systems; Collocation and interaction between autonomous and non–autonomous systems; Dependability in autonomous systems; Survivability and recovery in autonomous systems; Monitoring and control in autonomous systems; Performance and security in autonomous systems; Management of autonomous systems; Testing autonomous systems; Maintainability of autonomous systems<br>AWARE: Design and Deployment of Context–awareness Networks, Services and Applications<br>Context–aware fundamental concepts, mechanisms, and applications; Modeling context–aware systems; Specification and implementation of awareness behavioral contexts; Development and deployment of large–scale context–aware systems and subsystems; User awareness requirements and design techniques for interfaces and systems; Methodologies, metrics, tools, and experiments for specifying context–aware systems; Tools evaluations, Experiment evaluations<br>AUTONOMIC: Autonomic Computing: Design and Management of Self–behavioral Networks and Services<br>Theory, architectures, frameworks and practice of self–adaptive management mechanisms; Modeling and techniques for specifying self–ilities; Self–stabilization and dynamic stability criteria and mechanisms; Tools, languages and platforms for designing self–driven systems; Autonomic computing and GRID networking; Autonomic computing and proactive computing for autonomous systems; Practices, criteria and methods to implement, test, and evaluate industrial autonomic systems; Experiences with autonomic computing systems<br>CLOUD: Cloud computing and Virtualization<br>Hardware–as–a–service; Software–as–a–service [SaaS applicaitions]; Platform–as–service; On–demand computing models; Cloud Computing programming and application development; Scalability, discovery of services and data in Cloud computing infrastructures; Privacy, security, ownership and reliability issues; Performance and QoS; Dynamic resource provisioning; Power–efficiency and Cloud computing; Load balancing; Application streaming; Cloud SLAs, business models and pricing policies; Custom platforms; Large–scale compute infrastructures; Managing applications in the clouds; Data centers; Process in the clouds; Content and service distribution in Cloud computing infrastructures; Multiple applications can run on one computer (virtualization a la VMWare); Grid computing (multiple computers can be used to run one application); Virtualization platforms; Open virtualization format; Cloud–computing vendor governance and regulatory compliance<br>MCMAC: Monitoring, Control, and Management of Autonomous Self–aware and Context–aware Systems<br>Agent–based autonomous systems; Policy–driven self–awareness mechanisms and their applicability in autonomic systems; Autonomy in GRID networking and utility computing; Studies on autonomous industrial applications, services, and their developing environment; Prototypes, experimental systems, tools for autonomous systems, GRID middleware<br>CASES: Automation in specialized mobile environments<br>Theory, frameworks, mechanisms and case studies for satellite systems; Spatial/temporal constraints in satellites systems; Trajectory corrections, speed, and path accuracy in satellite systems; Mechanisms and case studies for nomadic code systems; Platforms for mobile agents and active mobile code; Performance in nomadic code systems; Case studies systems for mobile robot systems; Guidance in an a priori unknown environment; Coaching/learning techniques; Pose maintenance, and mapping; Sensing for autonomous vehicles; Planning for autonomous vehicles; Mobile networks, Ad hoc networks and self–reconfigurable networks<br>ALCOC: Algorithms and theory for control and computation<br>Control theory and specific characteristics; Types of computation theories; Tools for computation and control; Algorithms and data structures; Special algorithmic techniques; Algorithmic applications; Domain case studies; Technologies case studies for computation and control; Application–aware networking<br>MODEL: Modeling, virtualization, any–on–demand, MDA, SOA<br>Modeling techniques, tools, methodologies, languages; Model–driven architectures (MDA); Service–oriented architectures (SOA); Utility computing frameworks and fundamentals; Enabled applications through virtualization; Small–scale virtualization methodologies and techniques; Resource containers, physical resource multiplexing, and segmentation; Large–scale virtualization methodologies and techniques; Management of virtualized systems; Platforms, tools, environments, and case studies; Making virtualization real; On–demand utilities; Adaptive enterprise; Managing utility–based systems; Development environments, tools, prototypes<br>SELF: Self–adaptability and self–management of context–aware systems<br>Novel approaches to modeling and representing context adaptability, self–adaptability, and self–manageability; Models of computation for self–management context–aware systems; Use of MDA/MDD (Model Driven Architecture / Model Driven Development) for context–aware systems; Design methods for self–adaptable context–aware systems; Applications of advanced modeling languages to context self–adaptability; Methods for managing adding context to existing systems and context–conflict free systems; Architectures and middleware models for self–adaptable context–aware systems; Models of different adaptation and self–adaptation mechanisms (component–based adaptation approach, aspect oriented approach, etc.); System stability in the presence of context inconsistency; Learning and self–adaptability of context–aware systems; Business considerations and organizational modeling of self–adaptable context–aware systems; Performance evaluation of self–adaptable context–aware systems; Scalability of self–adaptable context–aware systems<br>KUI: Knowledge–based user interface<br>Evolving intelligent user interface for WWW; User interface design in autonomic systems; Adaptive interfaces in a knowledge–based design; Knowledge–based support for the user interface design process; Built–in knowledge in adaptive user interfaces; Requirements for interface knowledge representation; Levels for knowledge–based user interface; User interface knowledge on the dynamic behavior; Support techniques for knowledge–based user interfaces; Intelligent user interface for real–time systems; Planning–based control of interface animation; Model–based user interface design; Knowledge–based user interface migration; Automated user interface requirements discovery for scientific computing; Knowledge–based user interface management systems; 3D User interface design; Task–oriented knowledge user interfaces; User–interfaces in a domestic environment; Centralised control in the home; User–interfaces for the elderly or disabled; User–interfaces for the visually, aurally, or mobility impaired; Interfacing with ambient intelligence systems; Assisted living interfaces; Interfaces for security/alarm systems<br>AMMO: Adaptive management and mobility<br>QoE and adaptation in mobile environments; Content marking and management (i.e. MPEG21); Adaptive coding (H.265, FEC schemes, etc.. ); Admission control resource allocation algorithms; Monitoring and feedback systems; Link adaptation mechanisms; Cross layer approaches; Adaptation protocols (with IMS and NGNs scenarios); QoE vs NQoS mapping systems; Congestion control mechanisms; Fairness issues (fair sharing, bandwidth allocation...); Optimization/management mechanisms (MOO, fuzzy logic, machine learning, etc.)<br>
Abbrevation
ICAS
City
Nice
Country
France
Deadline Paper
Start Date
End Date
Abstract