Abbrevation
ICAS
City
Nice
Country
France
Deadline Paper
Start Date
End Date
Abstract

ICAS 2018 conference tracks:<br>SELFTRENDS: Toward brain&#8211;like autonomic and autonomous systems<br>Adaptive robust resource allocation; Optimal self&#8211;organized collective actions; Collective adaptation; Active learning; Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data&#8211;aware adaptation; Brain connectivity models; Using unbalanced Datasets; Quantum&#8211;inspired optimization; Automated (industrial) assembly environments; Deep neural networks; Multimodal knowledge of the brain; Self&#8211;organization in M2M infrastructures; Self&#8211;organizing socio&#8211;technical systems; Context&#8211;aware data self&#8211;adaptation; Multi&#8211;level loop encapsulation in smart systems; Uncertainty in self&#8211;adaptive systems; Adaptive Software defined systems (SDS) scalability; Adaptability in multi&#8211;tenant Clouds; Self&#8211;aware model&#8211;driven systems; Proactive self&#8211;adaptation; Self&#8211;adaptive urban traffic; Adaptive power profiling; Run&#8211;time for self&#8211;adaptive systems; Distributed adaptive systems; Self&#8211;improving system integration; Self&#8211;improving activity recognition systems; Feedback computing; Optimal feedback control; Dynamic adaptive applications; Self&#8211;managing Clouds; Decentralized autonomic behavior; Market&#8211;adaptive trust; Semantics of self&#8211;behavior; Self&#8211;organizing patterns; Stability propagation in self&#8211;organizing systems; Inconsistency in self&#8211;deciding systems; Reasoning problems tractability; Decidability in self&#8211;organizing systems<br>ROBOTRENDS: Robot&#8211;related trends<br>Autonomous aquatic agents; Aerial autonomous robots; Drones control and management; Knowledge&#8211;based robot motions; Autonomous mobile robot interaction; Humanoid robots; Intelligent robots; Self&#8211;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&#8211;centric robotics; Visually&#8211;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&#8211;tolerant systems<br>UNMANNED: Driver&#8211;less cars and unmanned vehicles<br>Self&#8211;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&#8211;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&#8211;time paradigms for autonomous systems; Delegation and trust in autonomous systems; Centralized and distributed autonomous systems; Collocation and interaction between autonomous and non&#8211;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&#8211;awareness Networks, Services and Applications<br>Context&#8211;aware fundamental concepts, mechanisms, and applications; Modeling context&#8211;aware systems; Specification and implementation of awareness behavioral contexts; Development and deployment of large&#8211;scale context&#8211;aware systems and subsystems; User awareness requirements and design techniques for interfaces and systems; Methodologies, metrics, tools, and experiments for specifying context&#8211;aware systems; Tools evaluations, Experiment evaluations<br>AUTONOMIC: Autonomic Computing: Design and Management of Self&#8211;behavioral Networks and Services<br>Theory, architectures, frameworks and practice of self&#8211;adaptive management mechanisms; Modeling and techniques for specifying self&#8211;ilities; Self&#8211;stabilization and dynamic stability criteria and mechanisms; Tools, languages and platforms for designing self&#8211;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&#8211;as&#8211;a&#8211;service; Software&#8211;as&#8211;a&#8211;service [SaaS applicaitions]; Platform&#8211;as&#8211;service; On&#8211;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&#8211;efficiency and Cloud computing; Load balancing; Application streaming; Cloud SLAs, business models and pricing policies; Custom platforms; Large&#8211;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&#8211;computing vendor governance and regulatory compliance<br>MCMAC: Monitoring, Control, and Management of Autonomous Self&#8211;aware and Context&#8211;aware Systems<br>Agent&#8211;based autonomous systems; Policy&#8211;driven self&#8211;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&#8211;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&#8211;aware networking<br>MODEL: Modeling, virtualization, any&#8211;on&#8211;demand, MDA, SOA<br>Modeling techniques, tools, methodologies, languages; Model&#8211;driven architectures (MDA); Service&#8211;oriented architectures (SOA); Utility computing frameworks and fundamentals; Enabled applications through virtualization; Small&#8211;scale virtualization methodologies and techniques; Resource containers, physical resource multiplexing, and segmentation; Large&#8211;scale virtualization methodologies and techniques; Management of virtualized systems; Platforms, tools, environments, and case studies; Making virtualization real; On&#8211;demand utilities; Adaptive enterprise; Managing utility&#8211;based systems; Development environments, tools, prototypes<br>SELF: Self&#8211;adaptability and self&#8211;management of context&#8211;aware systems<br>Novel approaches to modeling and representing context adaptability, self&#8211;adaptability, and self&#8211;manageability; Models of computation for self&#8211;management context&#8211;aware systems; Use of MDA/MDD (Model Driven Architecture / Model Driven Development) for context&#8211;aware systems; Design methods for self&#8211;adaptable context&#8211;aware systems; Applications of advanced modeling languages to context self&#8211;adaptability; Methods for managing adding context to existing systems and context&#8211;conflict free systems; Architectures and middleware models for self&#8211;adaptable context&#8211;aware systems; Models of different adaptation and self&#8211;adaptation mechanisms (component&#8211;based adaptation approach, aspect oriented approach, etc&#046;); System stability in the presence of context inconsistency; Learning and self&#8211;adaptability of context&#8211;aware systems; Business considerations and organizational modeling of self&#8211;adaptable context&#8211;aware systems; Performance evaluation of self&#8211;adaptable context&#8211;aware systems; Scalability of self&#8211;adaptable context&#8211;aware systems<br>KUI: Knowledge&#8211;based user interface<br>Evolving intelligent user interface for WWW; User interface design in autonomic systems; Adaptive interfaces in a knowledge&#8211;based design; Knowledge&#8211;based support for the user interface design process; Built&#8211;in knowledge in adaptive user interfaces; Requirements for interface knowledge representation; Levels for knowledge&#8211;based user interface; User interface knowledge on the dynamic behavior; Support techniques for knowledge&#8211;based user interfaces; Intelligent user interface for real&#8211;time systems; Planning&#8211;based control of interface animation; Model&#8211;based user interface design; Knowledge&#8211;based user interface migration; Automated user interface requirements discovery for scientific computing; Knowledge&#8211;based user interface management systems; 3D User interface design; Task&#8211;oriented knowledge user interfaces; User&#8211;interfaces in a domestic environment; Centralised control in the home; User&#8211;interfaces for the elderly or disabled; User&#8211;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&#046;e&#046; MPEG21); Adaptive coding (H&#046;265, FEC schemes, etc&#046;&#046; ); 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&#046;&#046;&#046;); Optimization/management mechanisms (MOO, fuzzy logic, machine learning, etc&#046;)<br>