Ακαδημαϊκό Προσωπικό
Γκουμόπουλος Χρήστος
Προσωπικά Στοιχεία
Γκουμόπουλος Χρήστος
Καθηγητής
goumop [at] aegean [dot] gr
+30-22730-82220
Κτίριο Λυμπέρη - Β4
Copyright Notice: Το υλικό αυτό παρουσιάζεται για έγκαιρη διάδοση επιστημονικής και τεχνικής εργασίας. Τα πνευματικά δικαιώματα και όλα τα σχετικά δικαιώματα παραμένουν στους συγγραφείς ή σε άλλους κατόχους πνευματικών δικαιωμάτων. Όσοι αντιγράφουν αυτές τις πληροφορίες αναμένεται να τηρούν τους όρους και τους περιορισμούς που επιβάλλει το πνευματικό δικαίωμα κάθε συγγραφέα. Στις περισσότερες περιπτώσεις, τα έργα αυτά δεν μπορούν να αναδημοσιευτούν ή να αναπαραχθούν μαζικά χωρίς τη ρητή άδεια του κατόχου των πνευματικών δικαιωμάτων.
Επιστημονικά Συνέδρια
[1]
M. Danousis, C. Goumopoulos, Improving Elderly Exergame Experiences through AI Components Assessing Cognitive Status, 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation (RTSI), Sep, 2024, Milan, Italy , IEEE
[1]
M. Danousis, C. Goumopoulos, A. Fakis, Exergames in the GAME2AWE Platform with Dynamic Difficulty Adjustment, 21st IFIP International Conference on Entertainment Computing, pp. 214-223, Nov, 2022, Bremen, Germany, Springer, https://doi.org/10.1007/978-3-031-20212-...
[2]
C. Goumopoulos, E. Drakakis, G. Dimitrios, Augmented and Virtual Reality Based Exergames in GAME2AWE for Elderly Fall Prevention, 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) , pp. 100-105, Sep, 2022, Thessaloniki, Greece, IEEE, https://doi.org/10.1109/WiMob55322.2022....
[3]
C. Goumopoulos, D. Ougkrenidis, G. Dimitrios, I. Ioannidis, A Smart Floor Device of an Exergame Platform for Elderly Fall Prevention, 25th Euromicro Conference on Digital System Design, Special Session on Advanced Systems in Healthcare, Wellness and Personal Assistance, pp. 585-592, Aug, 2022, Maspalomas, Gran Canaria, Spain, IEEE, https://doi.org/10.1109/DSD57027.2022.00...
[4]
C. Goumopoulos, Chartomatsidis, M., G. Koumanakos, Participatory Design of Fall Prevention Exergames using Multiple Enabling Technologies, 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, pp. 70-80, Apr, 2022, https://doi.org/10.5220/0011044100003188...
[1]
C. Goumopoulos, G. Skikos, C. Karapapas, M. Frounta, G. Koumanakos, Applying Serious Games and Machine Learning for Cognitive Training and Screening: the COGNIPLAT Approach, 25th Pan-Hellenic Conf. on Informatics (PCI2021), pp. 63-68, Nov, 2021, ACM, https://doi.org/10.1145/3503823.3503835
[2]
C. Goumopoulos, G. Skikos, A. Fakis, A Game Platform for the Cognitive Stimulation of Elderly with MCI, 6th International Conference on Gamification and Serious Game, pp. 43-46, Jul, 2021
[3]
G. Skikos, C. Goumopoulos, A Tablet-based Game Tool for Cognition Training of Seniors with Mild Cognitive Impairment, 26th International Conference on Database Systems for Advanced Applications (Mobile Ubiquitous Systems and Technologies Workshop), pp. 355-364, Apr, 2021, Springer, https://doi.org/10.1007/978-3-030-73216-...
[1]
S. Pitatzis, N Drossos, C. Goumopoulos, A. Kameas, AmIoT: A Microservices-based IoT Platform to Orchestrate AmI Environments, 16th International Conference on Intelligent Environments, pp. 21-28, Jul, 2020, IEEE, https://doi.org/10.1109/IE49459.2020.915...
[2]
C. Goumopoulos, I. Igoumenakis, An Ontology Based Game Platform for Mild Cognitive Impairment Rehabilitation, 6th International Conference on Information and Communication Technologies for Ageing Well and e-Health, pp. 130-141, May, 2020, SCITEPRESS, https://doi.org/10.5220/0009793501300141...
A. Platsios, C. Goumopoulos, K. Kotis, Interoperability in IoT: A Vital Key Factor to Create the “Social Network” of Things, The Thirteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies UBICOMM 2019, 3, pp. 7, Sep, 2019, Porto, Portugal
Περίληψη:
The Internet of Things (ΙοΤ) is a concept that describes the connection of various devices with built-in sensors and communication equipment to achieve the collection and transmission of data in a network. IoT devices are increasing with geometric progress, and ensuring interoperability and handling of the enormous heterogeneous data generated is of major importance for the creation of intelligent applications and services. This paper presents the state of art and current solutions on the issues of interoperability in the IoT domain, as well as the challenges and open issues. Finally, a discussion is provided on what future research should focus on and solutions are outlined to achieve interoperability in IoT systems that can lead to a “Social Network” of Things.
The Internet of Things (ΙοΤ) is a concept that describes the connection of various devices with built-in sensors and communication equipment to achieve the collection and transmission of data in a network. IoT devices are increasing with geometric progress, and ensuring interoperability and handling of the enormous heterogeneous data generated is of major importance for the creation of intelligent applications and services. This paper presents the state of art and current solutions on the issues of interoperability in the IoT domain, as well as the challenges and open issues. Finally, a discussion is provided on what future research should focus on and solutions are outlined to achieve interoperability in IoT systems that can lead to a “Social Network” of Things.
Λήψη PDF[2]
Chartomatsidis, M., C. Goumopoulos, A Balance Training Game Tool for Seniors Using Microsoft Kinect and 3D Worlds, International Conference on Information and Communication Technologies for Ageing Well and e-Health, pp. 135-145, May, 2019, Herakleio, Greece, SCITEPRESS, http://insticc.org/node/TechnicalProgram...
[1]
C. Goumopoulos, Fragou, O., Chanos, N., Delistavrou, K., I. Zaharakis, Stefanis, V., A. Kameas, The UMI-Sci-Ed Platform: Integrating UMI Technologies to Promote Science Education, International Conference on Computer Supported Education, pp. 78-90, Mar, 2018, Funchal, Portugal, SCITEPRESS, https://www.scitepress.org/PublicationsD...
[1]
C. Goumopoulos, Chanos, N., A. Kameas, Leveraging STEM education via UMI technologies, World Conference on Mobile and Contextual Learning, pp. 11, Nov, 2017, Larnaca, Cyprus, ACM, https://doi.org/10.1145/3136907.3136942
[2]
Gkigkelos, N., C. Goumopoulos, Greek sign language vocabulary recognition using Kinect, Pan-Hellenic Conference on Informatics , pp. 10, Sep, 2017, Larissa, Greece, ACM, https://doi.org/10.1145/3139367.3139386
[3]
Katsios, D., Malliaritsi, D.M., C. Goumopoulos, Pervasive learning using IoT technolgy: A case study on teaching the course "Environmental Study" in primary education, Conference on Informatics in Education (CIE2017), pp. 207-220, 2017, Athens, Greece
Lappa Athanasia, C. Goumopoulos, A Home-Based Early Risk Detection System for Congestive Heart Failure Using a Bayesian Reasoning Network, 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, pp. 58-69, 2017, Porto, Portugal, SCITEPRESS, https://www.scitepress.org/papers/2017/6...
Περίληψη:
Congestive heart failure (CHF) is a progressive condition in which the heart is no longer capable of supplying adequate oxygenated blood to the body. Since the incidence of CHF increases with age, mainly due to the development of heart failure risk factors the epidemic of CHF is expected to grow further in the coming decades and thus becoming an important public health problem. In this paper we present a risk detection system for CHF that uses a Bayesian Network (BN) combined with health measurements that can be taken in a home environment using ambient assisted living technologies. The algorithm is empowered by employing statistical and medical analysis of the stored biological data and the output can be used as a basis for triggering proper preventive interventions. The BN design was established by surveying the relevant literature and consulting the domain expert. The network content combines both biometric variables that are daily monitored and data from patient’s clinical history as well as additional heart failure risk factors in terms of the EuroSCORE model. The predictive validity was tested with the involvement of the domain expert who specified proper validation rules in terms of criteria for detecting a CHF risk.
Congestive heart failure (CHF) is a progressive condition in which the heart is no longer capable of supplying adequate oxygenated blood to the body. Since the incidence of CHF increases with age, mainly due to the development of heart failure risk factors the epidemic of CHF is expected to grow further in the coming decades and thus becoming an important public health problem. In this paper we present a risk detection system for CHF that uses a Bayesian Network (BN) combined with health measurements that can be taken in a home environment using ambient assisted living technologies. The algorithm is empowered by employing statistical and medical analysis of the stored biological data and the output can be used as a basis for triggering proper preventive interventions. The BN design was established by surveying the relevant literature and consulting the domain expert. The network content combines both biometric variables that are daily monitored and data from patient’s clinical history as well as additional heart failure risk factors in terms of the EuroSCORE model. The predictive validity was tested with the involvement of the domain expert who specified proper validation rules in terms of criteria for detecting a CHF risk.
[1]
C. Kostaki, C. Goumopoulos, Development and evaluation of an exergaming application for improving seniors' well-being, Pan-Hellenic Conference on Informatics, pp. 27, Nov, 2016, Patras, Greece, ACM, https://doi.org/10.1145/3003733.3003736
[1]
C. Goumopoulos, Stress detection using Shimmer3 biosensors, Body Sensor Networks, Jun, 2015, Cambridge, USA, http://www.bsn2015.org/index_htm_files/S...
G. Mitralexis, C. Goumopoulos, Web based monitoring and irrigation system with energy autonomous wireless sensor network for Precision Agriculture, 12th European Conference on Ambient Intelligence, AmI 2015, 2015, Athens, Greece, Springer
Περίληψη:
The use of Precision Agriculture systems is in its infancy in Greece, because of the high fragmented land and the adherence of farmers to traditional farming methods. This paper presents the design, implementation and performance evaluation of an integrated agricultural monitoring and irrigation system using energy-autonomous wireless sensors and actuators. Monitoring and irrigation of the field are carried out through a web application that collects data from a Wireless Sensor Network deployed in a cultivation and displays relative information in real time. Furthermore, the system can operate proactively based on user-defined rules that can decide when the farm should be irrigated. The system is easy to use by farmers who look for a first contact with Precision Agriculture applications. Our results have revealed the possibility to develop a robust, fully-automated, solar powered, and low cost monitoring and irrigation system that suits to the socio-economic conditions of small scale farms in countries like Greece.
The use of Precision Agriculture systems is in its infancy in Greece, because of the high fragmented land and the adherence of farmers to traditional farming methods. This paper presents the design, implementation and performance evaluation of an integrated agricultural monitoring and irrigation system using energy-autonomous wireless sensors and actuators. Monitoring and irrigation of the field are carried out through a web application that collects data from a Wireless Sensor Network deployed in a cultivation and displays relative information in real time. Furthermore, the system can operate proactively based on user-defined rules that can decide when the farm should be irrigated. The system is easy to use by farmers who look for a first contact with Precision Agriculture applications. Our results have revealed the possibility to develop a robust, fully-automated, solar powered, and low cost monitoring and irrigation system that suits to the socio-economic conditions of small scale farms in countries like Greece.
C. Goumopoulos, N. Kokkos, C. Karachristos, A. Kameas, Bridging the Gap Between Virtual and Physical Classrooms to Enhance Distance Learning Experience, 11th International Conference on Intelligent Environments, pp. 112-119, 2015, Prague, Czech Republic, IEEE
Περίληψη:
In this paper we report on our current research and development work that aims to apply pervasive computing and context-aware technologies to enhance the teaching and learning experience in distance education environments. In order to achieve this goal we move from the 2-D user interfaces found in virtual class management systems to the ubiquitous 3-D environment of the classroom. A smart classroom prototype is presented which provides the necessary mechanisms for building context-aware services to enrich distance learning experience. The fusion of location tracking with activity recognition mechanisms allows to control the liveliness of the video stream transmitted to remote students in order to reduce the gap between physical and virtual classrooms.
In this paper we report on our current research and development work that aims to apply pervasive computing and context-aware technologies to enhance the teaching and learning experience in distance education environments. In order to achieve this goal we move from the 2-D user interfaces found in virtual class management systems to the ubiquitous 3-D environment of the classroom. A smart classroom prototype is presented which provides the necessary mechanisms for building context-aware services to enrich distance learning experience. The fusion of location tracking with activity recognition mechanisms allows to control the liveliness of the video stream transmitted to remote students in order to reduce the gap between physical and virtual classrooms.
P. Stamatis, I. Panagiotopoulos, C. Goumopoulos, A. Kameas, Combining Agents and Ontologies for Building an Intelligent Tutoring System, 7th International Conference on Computer Supported Education, pp. 15-24, 2015, Lisbon, Portugal
Περίληψη:
In this paper an approach for building an intelligent tutoring system is presented, based on a multi-agent architecture and combined with ontologies for knowledge representation. The system developed is focused on a bottom up, reactive generation of an active sequence of knowledge units regarding a set of adjustable, high level learning goals. The learning process begins with a set of simple learning goals that require a few learning objects and as the educational process proceeds, the student has to achieve higher learning outcomes that combine other low level outcomes which have been already achieved. The system is able to adapt to student’s learning profile and progress by applying proper learning tactics to prioritize through a weight calculation scheme the sequence of the learning outcomes to achieve. The main components of the system consisting of ontological models of the learner and the subject under study, gateway agents and tutor agents with their core modules (learning space management and learning tactics control) are explained and a detailed description of their interaction is given in the context of an example application. Finally, the advantages of the proposed approach are laid out, especially in the setting of a distance learning education system.
In this paper an approach for building an intelligent tutoring system is presented, based on a multi-agent architecture and combined with ontologies for knowledge representation. The system developed is focused on a bottom up, reactive generation of an active sequence of knowledge units regarding a set of adjustable, high level learning goals. The learning process begins with a set of simple learning goals that require a few learning objects and as the educational process proceeds, the student has to achieve higher learning outcomes that combine other low level outcomes which have been already achieved. The system is able to adapt to student’s learning profile and progress by applying proper learning tactics to prioritize through a weight calculation scheme the sequence of the learning outcomes to achieve. The main components of the system consisting of ontological models of the learner and the subject under study, gateway agents and tutor agents with their core modules (learning space management and learning tactics control) are explained and a detailed description of their interaction is given in the context of an example application. Finally, the advantages of the proposed approach are laid out, especially in the setting of a distance learning education system.
C. Karachristos, C. Goumopoulos, A. Kameas, Enhancing Collaborative Learning and Management Tasks through Pervasive Computing Technologies, AMBIENT 2014, pp. 27-33, 2014, Rome Italy
Περίληψη:
We are examining in this paper how ubiquitous technology enhanced classrooms can foster opportunities for enhancing teaching and learning. Our concept of Smart Classroom is shaped upon an ambient intelligent environment which supports three major objectives of the educational process: assisting course creation and presentation, classroom management and student assessment and collaboration. Distance learning poses additional requirements on smart classrooms since both local and remote students should have an equal educational experience. This paper describes a Smart Classroom prototype, which combines a number of pervasive computing technologies such as RFId, Microsoft Kinect, magnetic cards and Android applications. The main contribution of our work is combining such different technologies to support classroom attendance management, lecture presentation handling through physical interaction and student collaboration through android applications. Finally, this work includes a survey on related systems and their contribution on strengthening the educational procedure.
We are examining in this paper how ubiquitous technology enhanced classrooms can foster opportunities for enhancing teaching and learning. Our concept of Smart Classroom is shaped upon an ambient intelligent environment which supports three major objectives of the educational process: assisting course creation and presentation, classroom management and student assessment and collaboration. Distance learning poses additional requirements on smart classrooms since both local and remote students should have an equal educational experience. This paper describes a Smart Classroom prototype, which combines a number of pervasive computing technologies such as RFId, Microsoft Kinect, magnetic cards and Android applications. The main contribution of our work is combining such different technologies to support classroom attendance management, lecture presentation handling through physical interaction and student collaboration through android applications. Finally, this work includes a survey on related systems and their contribution on strengthening the educational procedure.
C. Goumopoulos, A. Kameas, D. Papalexopoulos, A. Stavridou, S. Tzimopoulou, Using pervasive computing and open space design to transform the schoolyard into an educational setting, 7th International Conference on Intelligent Environments, 2011, Nottingham, UK, IEEE CS CPS
Περίληψη:
—Educational process' experimental implementation with the support of Information Communication Technologies (ICT) integrated to the elective course "Principles of Environmental Sciences" of the Second High School Class that combines environmental education, principles of space design, introduction to information technologies in ecology and "green" ICT, and sustainable development through the digital management of planting and of the introduction to the crucial wider issue of precision agriculture. The experimental implementation is realized in collaboration with the professors of the 1rst General High School of Agios Dimitrios. Temperature sensors, humidity and illumination are placed in structures parametrically designed according to the bioclimatic conditions of the space of the school yard and have been sited in accordance with the operational needs of the complex. Students interact with plants and offer maintenance services when plants request it.
—Educational process' experimental implementation with the support of Information Communication Technologies (ICT) integrated to the elective course "Principles of Environmental Sciences" of the Second High School Class that combines environmental education, principles of space design, introduction to information technologies in ecology and "green" ICT, and sustainable development through the digital management of planting and of the introduction to the crucial wider issue of precision agriculture. The experimental implementation is realized in collaboration with the professors of the 1rst General High School of Agios Dimitrios. Temperature sensors, humidity and illumination are placed in structures parametrically designed according to the bioclimatic conditions of the space of the school yard and have been sited in accordance with the operational needs of the complex. Students interact with plants and offer maintenance services when plants request it.
J. Bidot, C. Goumopoulos, I. Calemis, Using AI Planning and Late Binding for Managing Service Workflows in Intelligent Environments, 9th Annual IEEE International Conference on Pervasive Computing and Communications, pp. 156-163, 2011, Seattle, US
Περίληψη:
In this paper, we present an approach to ^p aggregating and using devices that support the everyday life of human users in ambient intelligence environments. These execution environments are complex and changing over time, since the devices of the environments are numerous and heterogeneous, and they may appear or disappear at any time. In order to appropriately adapt the ambient system to a user’s needs, we adopt a service-oriented approach; i.e., devices provide services that reflect their capabilities. The orchestration of the devices is actually realized with the help of Artificial Intelligence planning techniques and dynamic service binding. At design time, (i) a planning problem is created that consists of the user’s goal to be achieved and the services currently offered by the intelligent environment, (ii) the planning problem is then solved using Hierarchical Task Network and Partial-Order Causal-Link planning techniques, (iii) and from the planning decisions taken to find solution plans, abstract service workflows are automatically generated. At run time, the abstract services are dynamically bound to devices that are actually present in the environment. Adaptation of the workflow instantiation is possible due to the late binding mechanism employed. The paper depicts the architecture of our system. It also describes the modeling and the life cycle of the workflows. We discuss the advantages and the limit of our approach with respect to related work and give specific details about implementation. We present some experimental results that validate our system in a real-world application scenario.
In this paper, we present an approach to ^p aggregating and using devices that support the everyday life of human users in ambient intelligence environments. These execution environments are complex and changing over time, since the devices of the environments are numerous and heterogeneous, and they may appear or disappear at any time. In order to appropriately adapt the ambient system to a user’s needs, we adopt a service-oriented approach; i.e., devices provide services that reflect their capabilities. The orchestration of the devices is actually realized with the help of Artificial Intelligence planning techniques and dynamic service binding. At design time, (i) a planning problem is created that consists of the user’s goal to be achieved and the services currently offered by the intelligent environment, (ii) the planning problem is then solved using Hierarchical Task Network and Partial-Order Causal-Link planning techniques, (iii) and from the planning decisions taken to find solution plans, abstract service workflows are automatically generated. At run time, the abstract services are dynamically bound to devices that are actually present in the environment. Adaptation of the workflow instantiation is possible due to the late binding mechanism employed. The paper depicts the architecture of our system. It also describes the modeling and the life cycle of the workflows. We discuss the advantages and the limit of our approach with respect to related work and give specific details about implementation. We present some experimental results that validate our system in a real-world application scenario.
C. Goumopoulos, A. Kameas, Deployment of adaptive workflows in intelligent environments, 6th International Conference on Intelligent Environments, pp. 197-202, 2010, Kuala Lumpur, IEEE CS CPS
Περίληψη:
Workflows have been used to model repeatable tasks or operations in a number of different industries including manufacturing and software. In this paper we examine the use of workflows to model the interaction of services that can be found in intelligent environments to support user tasks and goals. The deployment of such workflows needs to take care special design considerations, including context awareness, adaptation management, device heterogeneity, and user empowerment. In this paper, we present a framework for the deployment of adaptive workflows. The deployment infrastructure supports BPEL-like, design-time compositions that are complemented by mechanisms for the selection and binding of services at runtime. Workflow behaviour can also adjust dynamically in response to detected changes and unforeseen events by a suit of agents whose initial relationships are specified in the workflows.
Workflows have been used to model repeatable tasks or operations in a number of different industries including manufacturing and software. In this paper we examine the use of workflows to model the interaction of services that can be found in intelligent environments to support user tasks and goals. The deployment of such workflows needs to take care special design considerations, including context awareness, adaptation management, device heterogeneity, and user empowerment. In this paper, we present a framework for the deployment of adaptive workflows. The deployment infrastructure supports BPEL-like, design-time compositions that are complemented by mechanisms for the selection and binding of services at runtime. Workflow behaviour can also adjust dynamically in response to detected changes and unforeseen events by a suit of agents whose initial relationships are specified in the workflows.
K. Togias, C. Goumopoulos, A. Kameas, Ontology-based Representation of UPnP Devices and Services for Dynamic Context-Aware Ubiquitous Computing Applications, 3rd International Conference on Communication Theory, Reliability, and Quality of Service (track Models and Ontology-based Design of Protocols, Architectures and Services), pp. 220-225, 2010, Athens, Greece, IEEE CS CPS
Περίληψη:
Ontology and related technologies have been introduced into the Ambient Intelligence domain as a mean to provide declarative formal representations of the domain knowledge. The range of devices available in the scope of an Ambient Intelligence space becomes increasingly heterogeneous and at the same time ubiquitous. Hence there is a need to link the discovery, description and deployment of these ambient devices and their services with context and domain knowledge representations in order to facilitate an Ambient Intelligence space experience. The contribution of this work is an approach for bridging the gap between the non-semantic description mechanisms of XML based devices description protocols, such as UPnP, and the AmI domain knowledge representation. For this we design a prototype ontology-based representation for UPnP devices and services that provide a semantic linking between human-centric abstract description, and the software-centric concrete description that derives from the UPnP descriptors and is necessary to remotely execute method calls on devices. We also demonstrate the benefits of its use with a prototype implementation.
Ontology and related technologies have been introduced into the Ambient Intelligence domain as a mean to provide declarative formal representations of the domain knowledge. The range of devices available in the scope of an Ambient Intelligence space becomes increasingly heterogeneous and at the same time ubiquitous. Hence there is a need to link the discovery, description and deployment of these ambient devices and their services with context and domain knowledge representations in order to facilitate an Ambient Intelligence space experience. The contribution of this work is an approach for bridging the gap between the non-semantic description mechanisms of XML based devices description protocols, such as UPnP, and the AmI domain knowledge representation. For this we design a prototype ontology-based representation for UPnP devices and services that provide a semantic linking between human-centric abstract description, and the software-centric concrete description that derives from the UPnP descriptors and is necessary to remotely execute method calls on devices. We also demonstrate the benefits of its use with a prototype implementation.
Y. Bellik, A. Kameas, C. Goumopoulos, H. Hagras, T. Heinroth, G. Pruvost, A. Meliones, D. Economou, W. Minker, M. Gardner, Multidimensional Pervasive Adaptation into Ambient Intelligent Environments, 8th IEEE International Conference on Dependable, Autonomic and Secure Computing, pp. 303-308, 2009, Chengdu, China, IEEE CS CPS
Περίληψη:
In this paper we describe the ATRACO (Adaptive and TRusted Ambient eCOlogies) approach towards next generation ambient intelligent environments. Several agents, such as a Fuzzy Task Agent with learning capabilities and an Interaction Agent collaborate in a goal-related Activity Sphere and adapt heterogeneous artifacts within the sphere in order to support the user to fulfill tasks. All components work on a dynamic Sphere Ontology, which forms the main knowledge base of the ecology. The presented prototype is able to realize the Goal “Feel comfortable at home after work” and was implemented in an existing intelligent environment.
In this paper we describe the ATRACO (Adaptive and TRusted Ambient eCOlogies) approach towards next generation ambient intelligent environments. Several agents, such as a Fuzzy Task Agent with learning capabilities and an Interaction Agent collaborate in a goal-related Activity Sphere and adapt heterogeneous artifacts within the sphere in order to support the user to fulfill tasks. All components work on a dynamic Sphere Ontology, which forms the main knowledge base of the ecology. The presented prototype is able to realize the Goal “Feel comfortable at home after work” and was implemented in an existing intelligent environment.
A. Kameas, H. Hagras, C. Goumopoulos, T. Heinroth, A. Meliones, M. Gardner, D. Economou, G. Pruvost, Y. Bellik, W. Minker, A Pervasive System Architecture that Supports Adaptation using Agents and Ontologies, Proc. of the 10th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN 2009) , pp. 148-153, 2009, Kao-Hsiung (Taiwan) China, IEEE CS CPS
Περίληψη:
In the context of the EU funded R&D project ATRACO we are developing a conceptual framework and a system architecture that will support the realization of adap- tive and trusted ambient intelligent systems. Our approach is based on a number of well established engineering principles, such as the distribution of control and the separation of service interfaces from the service implementation, adopting a SOA model combined with intelligent agents and ontologies. Agents support adaptive task realization and enhanced human- machine interaction while ontologies provide knowledge repre- sentation, management of heterogeneity, semantically rich resource discovery and adaptation. ATRACO systems are dy- namic compositions of distributed, loosely-coupled and highly cohesive components that operate in dynamic environments.
In the context of the EU funded R&D project ATRACO we are developing a conceptual framework and a system architecture that will support the realization of adap- tive and trusted ambient intelligent systems. Our approach is based on a number of well established engineering principles, such as the distribution of control and the separation of service interfaces from the service implementation, adopting a SOA model combined with intelligent agents and ontologies. Agents support adaptive task realization and enhanced human- machine interaction while ontologies provide knowledge repre- sentation, management of heterogeneity, semantically rich resource discovery and adaptation. ATRACO systems are dy- namic compositions of distributed, loosely-coupled and highly cohesive components that operate in dynamic environments.
N. Giannopoulos, C. Goumopoulos, A. Kameas, Design guidelines for building a wireless sensor network for environmental monitoring, 13th Panhellenic Conference on Informatics, pp. 148-152, 2009, Corfu, Greece
Περίληψη:
Environmental monitoring is a critical process that demands accuracy, reliability and stability at the operation level. Monitoring variables such as temperature, humidity, barometric pressure, soil moisture and ambient light facilitates research in fields such as precision agriculture, habitat monitoring, weather monitoring etc. The use of wireless sensor networks (WSNs) provides a technology solution for dynamic and unattended environmental monitoring, under the condition that requirements such as efficient power management and system robustness are satisfied. This paper presents the design and implementation of a WSN for monitoring environmental variables and evaluates its effectiveness. Based on the acquired experience we describe how we have confronted certain problems such as network synchronization and data consistency and we provide certain design guidelines for building such a system.
Environmental monitoring is a critical process that demands accuracy, reliability and stability at the operation level. Monitoring variables such as temperature, humidity, barometric pressure, soil moisture and ambient light facilitates research in fields such as precision agriculture, habitat monitoring, weather monitoring etc. The use of wireless sensor networks (WSNs) provides a technology solution for dynamic and unattended environmental monitoring, under the condition that requirements such as efficient power management and system robustness are satisfied. This paper presents the design and implementation of a WSN for monitoring environmental variables and evaluates its effectiveness. Based on the acquired experience we describe how we have confronted certain problems such as network synchronization and data consistency and we provide certain design guidelines for building such a system.
C. Goumopoulos, A. Kameas, A Service Oriented Architecture Combining Agents and Ontologies Towards Pervasive Adaptation, 5th International Conference on Intelligent Environments, pp. 228-235, 2009, Barcelona Spain, IOS Press
Περίληψη:
Contemporary software technologies complying with the Service- Oriented Architectural (SOA) paradigm, such as OSGi, UPnP, and the Web services do not meet on their own the adaptability and interoperability challenges of the Ambient Intelligence (AmI) environments. In this paper we present a solution based on the combination of the SOA model with Agents and Ontologies. The agent approach complements the SOA infrastructure by providing high level adaptation to user’s tasks, as an intelligent control layer above SOA. Ontologies are used to tackle the semantic heterogeneity that arises in AmI spaces and provide to agents a common repository of system knowledge, policies and state.
Contemporary software technologies complying with the Service- Oriented Architectural (SOA) paradigm, such as OSGi, UPnP, and the Web services do not meet on their own the adaptability and interoperability challenges of the Ambient Intelligence (AmI) environments. In this paper we present a solution based on the combination of the SOA model with Agents and Ontologies. The agent approach complements the SOA infrastructure by providing high level adaptation to user’s tasks, as an intelligent control layer above SOA. Ontologies are used to tackle the semantic heterogeneity that arises in AmI spaces and provide to agents a common repository of system knowledge, policies and state.
C. Goumopoulos, A. Kameas, E. Berg, I. Calemis, A Service-Oriented Platform for Pervasive Awareness Systems, International Conference on Advanced Information Networking and Applications Workshops, pp. 470-475, 2009, Bradford UK, ΙΕΕΕ CS CPS
Περίληψη:
Awareness systems are a class of computer mediated communication systems that help individuals or groups build and maintain a peripheral awareness of each other. In this paper a service-oriented platform is presented, that supports awareness and informal social communication between community members, distributed over multiple smart home environments. The ASTRA platform, developed in the context of an EU research project, provides a generalized solution to the development of awareness applications that are based on the concept of pervasive awareness, i.e., where awareness information is generated as a result of using personal and home devices and smart objects, which capture and exchange information about the user semi-autonomously.
Awareness systems are a class of computer mediated communication systems that help individuals or groups build and maintain a peripheral awareness of each other. In this paper a service-oriented platform is presented, that supports awareness and informal social communication between community members, distributed over multiple smart home environments. The ASTRA platform, developed in the context of an EU research project, provides a generalized solution to the development of awareness applications that are based on the concept of pervasive awareness, i.e., where awareness information is generated as a result of using personal and home devices and smart objects, which capture and exchange information about the user semi-autonomously.
C. Goumopoulos, A. Kameas, H. Hagras, V. Callaghan, M. Gardner, W. Minker, M. Weber, Y. Bellik, A. Meliones, ATRACO: Adaptive and Trusted Ambient Ecologies, 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pp. 96-101, 2008, Venice Italy, IEEE CS CPS
Περίληψη:
ATRACO is an EU funded R&D project that considers ambient ecologies consisting of people, context-aware artefacts and digital commodities (e.g., services and content). Members of the ecology are able to adapt to each other and form trusted ad hoc collaborations to achieve specific tasks resulting from the need to serve specific human goals. Our aim is to research the factors and develop the technologies that will lead to the realisation of such ecologies, following an interdisciplinary effort which involves Computer Science, HCI, AI, Control Theory and Sociology. Key factors of the ATRACO problem space to be examined include adaptation, interoperability, user interaction and dynamicity of trust. We focus our efforts on seeking abstractions and mechanisms for establishing trust relationships between its members and on devising adaptation mechanisms based on system behaviour modelling, supervisory control theory of discrete event systems and type-2 fuzzy systems.
ATRACO is an EU funded R&D project that considers ambient ecologies consisting of people, context-aware artefacts and digital commodities (e.g., services and content). Members of the ecology are able to adapt to each other and form trusted ad hoc collaborations to achieve specific tasks resulting from the need to serve specific human goals. Our aim is to research the factors and develop the technologies that will lead to the realisation of such ecologies, following an interdisciplinary effort which involves Computer Science, HCI, AI, Control Theory and Sociology. Key factors of the ATRACO problem space to be examined include adaptation, interoperability, user interaction and dynamicity of trust. We focus our efforts on seeking abstractions and mechanisms for establishing trust relationships between its members and on devising adaptation mechanisms based on system behaviour modelling, supervisory control theory of discrete event systems and type-2 fuzzy systems.
A. Meliones, D. Economou, I. Grammatikakis, A. Kameas, C. Goumopoulos, A Context Aware Connected Home Platform for Pervasive Applications, 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Workshop on Pervasive Adaptation (PERADA), pp. 120-125, 2008, IEEE CS CPS
Περίληψη:
Context-aware systems are an emerging genre of computer systems that help add some forms of intelligence to our surroundings. The ATRACO project uses the ambient ecology metaphor to conceptualize a space populated by connected devices and services that are interrelated with each other, the environment and the people, supporting the users’ everyday activities in a meaningful way. Everyday appliances, devices, and context aware artifacts are part of the ATRACO ambient ecologies. In this paper we present the connected home platform adopted by ATRACO and its evolution to provide network adaptation and context-aware services. A flexible and distributed context-aware service model is introduced using the OSGi and UPnP frameworks. UPnP is used to converge the existing network infrastructure comprising of heterogeneous technologies and protocols at the IP level. Furthermore, we introduce a context- aware service model and provide paradigms of context aware services that build upon perceptual and context aware components of the platform.
Context-aware systems are an emerging genre of computer systems that help add some forms of intelligence to our surroundings. The ATRACO project uses the ambient ecology metaphor to conceptualize a space populated by connected devices and services that are interrelated with each other, the environment and the people, supporting the users’ everyday activities in a meaningful way. Everyday appliances, devices, and context aware artifacts are part of the ATRACO ambient ecologies. In this paper we present the connected home platform adopted by ATRACO and its evolution to provide network adaptation and context-aware services. A flexible and distributed context-aware service model is introduced using the OSGi and UPnP frameworks. UPnP is used to converge the existing network infrastructure comprising of heterogeneous technologies and protocols at the IP level. Furthermore, we introduce a context- aware service model and provide paradigms of context aware services that build upon perceptual and context aware components of the platform.
A. Meliones, A. Kameas, D. Economou, C. Goumopoulos, Using the Connected Home Platform to support user tasks as orchestrations of smart objects services, 2nd International Workshop on Design and Integration Principles for Smart Objects In Conjunction with the 10th International Conference on Ubiquitous Computing , 2008
Περίληψη:
The ATRACO project uses the ambient ecology metaphor to conceptualize a space populated by connected smart objects and services that are interrelated with each other, the environment and the people. User activities are supported by the implementation of ubiquitous computing applications deployed over this ambient intelligence space. In this paper we present a possible realization of the ATRACO vision using the Connected Home Platform, a commercially available system adopted and evolved by ATRACO in order to provide network adaptation and context-aware services. A flexible and distributed context- aware service model is introduced using the OSGi and UPnP frameworks. UPnP is used to unify the existing network infrastructure comprising of heterogeneous technologies and protocols at the IP level. Furthermore, we introduce a context-aware service model and provide an example of orchestrating context aware services with the support of the platform.
The ATRACO project uses the ambient ecology metaphor to conceptualize a space populated by connected smart objects and services that are interrelated with each other, the environment and the people. User activities are supported by the implementation of ubiquitous computing applications deployed over this ambient intelligence space. In this paper we present a possible realization of the ATRACO vision using the Connected Home Platform, a commercially available system adopted and evolved by ATRACO in order to provide network adaptation and context-aware services. A flexible and distributed context- aware service model is introduced using the OSGi and UPnP frameworks. UPnP is used to unify the existing network infrastructure comprising of heterogeneous technologies and protocols at the IP level. Furthermore, we introduce a context-aware service model and provide an example of orchestrating context aware services with the support of the platform.
S. Dimitriadis, C. Goumopoulos, Applying Machine Learning to Extract New Knowledge in Precision Agriculture Applications, 12th Panhellenic Conference on Informatics, pp. 100-104, 2008, Samos, Greece, IEEE CS CPS
Περίληψη:
We are considering a facet of precision agriculture that concentrates on plant-driven crop management. By monitoring soil, crop and climate in a field and providing a decision support system that is able to learn, it is possible to deliver treatments, such as irrigation, fertilizer and pesticide application, for specific parts of a field in real time and proactively. In this context, we have applied machine learning techniques to automatically extract new knowledge in the form of generalized decision rules towards the best administration of natural resources like water. The machine learning application model suggested in this paper is based on an inductive and iterative process of discovering knowledge on the basis of which, patterns and associations having arisen initially are re-examined to expand the pre-existing knowledge. The result of this study was the creation of an effective set of decision rules used to predict the plants’ state and the prevention of unpleasant impacts from the water stress in plants.
We are considering a facet of precision agriculture that concentrates on plant-driven crop management. By monitoring soil, crop and climate in a field and providing a decision support system that is able to learn, it is possible to deliver treatments, such as irrigation, fertilizer and pesticide application, for specific parts of a field in real time and proactively. In this context, we have applied machine learning techniques to automatically extract new knowledge in the form of generalized decision rules towards the best administration of natural resources like water. The machine learning application model suggested in this paper is based on an inductive and iterative process of discovering knowledge on the basis of which, patterns and associations having arisen initially are re-examined to expand the pre-existing knowledge. The result of this study was the creation of an effective set of decision rules used to predict the plants’ state and the prevention of unpleasant impacts from the water stress in plants.
P. Stamatis, C. Goumopoulos, A. Kameas, Using ubiquitous computing technology to realise scalable intelligent agricultural environments, 3rd IET International Conference on Intelligent Environments, pp. 564-571, 2007
Περίληψη:
Wireless networks allow the deployment of sensing systems and actuation mechanisms at a much finer level of granularity than has been possible before. This paper is focused on connecting sensor data with actuators through a decision-making layer with learning capability. The decision making process regarding the provision of agricultural resources is extended this by on-line monitoring significant plant and environmental parameters and by applying machine-learning algorithms for inducing rules by analysing logged datasets to determine the significant thresholds of plant-based parameters.
Wireless networks allow the deployment of sensing systems and actuation mechanisms at a much finer level of granularity than has been possible before. This paper is focused on connecting sensor data with actuators through a decision-making layer with learning capability. The decision making process regarding the provision of agricultural resources is extended this by on-line monitoring significant plant and environmental parameters and by applying machine-learning algorithms for inducing rules by analysing logged datasets to determine the significant thresholds of plant-based parameters.
C. Goumopoulos, A. Kameas, B. Oflynn, Proactive Agriculture: An Integrated Framework for Developing Distributed Hybrid Systems, 4th International Conference on Ubiquitous Intelligence and Computing , Jadwiga Indulska et al., pp. 214-224, 2007, Springer
Περίληψη:
In this paper we discuss research work that enables the development of hybrid systems consisting of communicating plants and artefacts and we in- vestigate methods of creating “interfaces” between artefacts and plants in order to enable people to form mixed, interacting communities. Our research objec- tive is to develop hardware and software components that enable a seamless in- teraction between plants and artefacts in scenarios ranging from domestic plant care to precision agriculture. This paper deals with the approach that we follow for the development of such hybrid systems and discusses both hardware and software architectural aspects, with a special focus on describing the modular platform for wireless sensor network implemented and the distributed context management process followed. The latter imposes a proactive computing model by looping sensor data with actuators through a decision-making layer. The deployment of the system in a precision agriculture application is also presented.
In this paper we discuss research work that enables the development of hybrid systems consisting of communicating plants and artefacts and we in- vestigate methods of creating “interfaces” between artefacts and plants in order to enable people to form mixed, interacting communities. Our research objec- tive is to develop hardware and software components that enable a seamless in- teraction between plants and artefacts in scenarios ranging from domestic plant care to precision agriculture. This paper deals with the approach that we follow for the development of such hybrid systems and discusses both hardware and software architectural aspects, with a special focus on describing the modular platform for wireless sensor network implemented and the distributed context management process followed. The latter imposes a proactive computing model by looping sensor data with actuators through a decision-making layer. The deployment of the system in a precision agriculture application is also presented.
J. Barton, B. O’Flynn, K. Aherne, A. Morrissey, J. O’Sullivan, A. Cassells, N. Drossos, C. Goumopoulos, F. Tooke, P. Whitbread-Abrutat, PLANTS DEMO - Enabling Mixed Societies of Communicating Plants and Artefacts, Advances in Pervasive Computing 2006, Tom Pfeifer et al., (eds), pp. 139-142, 2006, Dublin, Ireland
Περίληψη:
Several applications, such as precision farming, military field monitoring and seismic activity monitoring require reliable and extended lifetime deployments of potentially a very large number of wireless sensor and actuator nodes. As hardware becomes cheaper and smaller, more of these applications are likely to appear, particularly as these miniaturised nodes offer the opportunity for the electronics to be embedded unobtrusively into everyday objects. This paper will present results from an EU funded project, PLANTS. PLANTS is a research project devising a novel technology that will allow plants to control their own environments. Using this technology, plant signals are detected, analysed and an appropriate response activated. The PLANTS system automatically responds to a plant’s needs.
Several applications, such as precision farming, military field monitoring and seismic activity monitoring require reliable and extended lifetime deployments of potentially a very large number of wireless sensor and actuator nodes. As hardware becomes cheaper and smaller, more of these applications are likely to appear, particularly as these miniaturised nodes offer the opportunity for the electronics to be embedded unobtrusively into everyday objects. This paper will present results from an EU funded project, PLANTS. PLANTS is a research project devising a novel technology that will allow plants to control their own environments. Using this technology, plant signals are detected, analysed and an appropriate response activated. The PLANTS system automatically responds to a plant’s needs.
I. Calemis, C. Goumopoulos, A. Kameas, Talking Plant: Integrating Plants Behavior with Ambient Intelligence, 2nd IET International Conference on Intelligent Environments, pp. 335-343, 2006
Περίληψη:
The aim of this work is to bring the Ambient Intelligence (AmI) (1) concept in a new level by introducing it to living organisms – plants. In this paper we provide a concrete scenario where an augmented plant, an ePlant can be incorporated in a ubiquitous computing environment in order to work together with other augmented objects, artifacts, in order to provide to the environment status of its condition. The paper presents the enabling infrastructure and the tools that are used to make such an application, and discusses on how we can make these augmented items to collaborate in order to create mixed societies of plants and artifacts.
The aim of this work is to bring the Ambient Intelligence (AmI) (1) concept in a new level by introducing it to living organisms – plants. In this paper we provide a concrete scenario where an augmented plant, an ePlant can be incorporated in a ubiquitous computing environment in order to work together with other augmented objects, artifacts, in order to provide to the environment status of its condition. The paper presents the enabling infrastructure and the tools that are used to make such an application, and discusses on how we can make these augmented items to collaborate in order to create mixed societies of plants and artifacts.
E. Christopoulou, C. Goumopoulos, A. Kameas, An ontology-based context management and reasoning process for UbiComp applications, Joint sOc-EUSAI’2005 conference, pp. 265-270, 2005, Grenoble, France, ACM Press
Περίληψη:
UbiComp applications operate within an extremely dynamic and heterogeneous environment and have to dynamically adapt to changes in their environment as a result of users’ or other actors’ activities. So context definition, representation, management and use become important factors that affect their operation. To ease the development of such applications it is necessary to decouple application composition from context acquisition and representation, and at the same time provide universal models and mechanisms to manage context. In this paper is presented an approach for building a context-aware UbiComp system organised in hierarchical levels. The focus of the paper is on an ontology-based context modelling, management and reasoning process developed for composing context-aware UbiComp applications from AmI artefacts.
UbiComp applications operate within an extremely dynamic and heterogeneous environment and have to dynamically adapt to changes in their environment as a result of users’ or other actors’ activities. So context definition, representation, management and use become important factors that affect their operation. To ease the development of such applications it is necessary to decouple application composition from context acquisition and representation, and at the same time provide universal models and mechanisms to manage context. In this paper is presented an approach for building a context-aware UbiComp system organised in hierarchical levels. The focus of the paper is on an ontology-based context modelling, management and reasoning process developed for composing context-aware UbiComp applications from AmI artefacts.
N. Drossos, C. Goumopoulos, A. Kameas, A Conceptual Model and the Supporting Middleware for Composing Ubiquitous Computing Applications, IEE International Conference on Intelligent Environments, pp. 20-27, 2005
Περίληψη:
Given the resulting complexity of the ambient applications that one can form in the Ubiquitous or Pervasive Computing domain it is required to abstract the intrinsic characteristics of specific communication models away from the application logic. These applications will be characterized by the increasing ubiquity of interactions between many possibly heterogeneous artifacts and services. This paper presents the Plug/Synapse abstraction, which provides a conceptual model for building ubiquitous computing applications in a high-level programming manner. GAS- OS is the software layer that implements the Plug/Synapse model and the concepts encapsulated in GAS, a generic architectural style, which can be used to describe everyday environments populated with computational artifacts. The paper focuses on the design and architecture of GAS-OS, which is the minimum set of modules and functionalities that every device must have, in order to be a ubiquitous computing artifact and participate in artifact collections.
Given the resulting complexity of the ambient applications that one can form in the Ubiquitous or Pervasive Computing domain it is required to abstract the intrinsic characteristics of specific communication models away from the application logic. These applications will be characterized by the increasing ubiquity of interactions between many possibly heterogeneous artifacts and services. This paper presents the Plug/Synapse abstraction, which provides a conceptual model for building ubiquitous computing applications in a high-level programming manner. GAS- OS is the software layer that implements the Plug/Synapse model and the concepts encapsulated in GAS, a generic architectural style, which can be used to describe everyday environments populated with computational artifacts. The paper focuses on the design and architecture of GAS-OS, which is the minimum set of modules and functionalities that every device must have, in order to be a ubiquitous computing artifact and participate in artifact collections.
E. Christopoulou, C. Goumopoulos, I. Zaharakis, A. Kameas, An Ontology-based Conceptual Model for Composing Context-Aware Applications, Sixth International Conference on Ubiquitous Computing (Ubicomp 2004), 2004, Nottingham, UK
Περίληψη:
Ubiquitous computing (UbiComp) applications operate within an extremely dynamic and heterogeneous environment. Thus context definition, representation, management and use become important factors that affect their operation. UbiComp applications have to dynamically adapt to changes in their environment as a result of users' or other actors' activities. To ease the development of such applications it is necessary to decouple application composition from context acquisition and representation, and at the same time provide universal models and mechanisms to manage context. This paper presents experiences with using an ontology to represent context of operation together with decision making for UbiComp applications that result from the composition of functionally independent components. These components were embedded in everyday objects, hence (a) their services were affected by their physical properties, (b) their context of operation was defined by the existence / availability of the objects, and (c) their collective functionality was emerging from a set of interactions among them.
Ubiquitous computing (UbiComp) applications operate within an extremely dynamic and heterogeneous environment. Thus context definition, representation, management and use become important factors that affect their operation. UbiComp applications have to dynamically adapt to changes in their environment as a result of users' or other actors' activities. To ease the development of such applications it is necessary to decouple application composition from context acquisition and representation, and at the same time provide universal models and mechanisms to manage context. This paper presents experiences with using an ontology to represent context of operation together with decision making for UbiComp applications that result from the composition of functionally independent components. These components were embedded in everyday objects, hence (a) their services were affected by their physical properties, (b) their context of operation was defined by the existence / availability of the objects, and (c) their collective functionality was emerging from a set of interactions among them.
C. Goumopoulos, E. Christopoulou, N. Drossos, A. Kameas, The PLANTS System: Enabling Mixed Societies of Communicating Plants and Artefacts, European Symposium on Ambient Intelligence , P. Markopoulos et al. , (eds), pp. 184-195, 2004, Eindhoven, the Netherlands, Springer-Verlag
Περίληψη:
In this paper we discuss research work that enables the development of mixed societies of communicating plants and artefacts. PLANTS is an EU- funded Research and Development project, which aims to investigate methods of creating “interfaces” between artefacts and plants in order to enable people to form mixed, interacting (potentially co-operating) communities. Amongst others the project aims to develop hardware and software components that should enable a seamless interaction between plants and artefacts in scenarios ranging from domestic plant care to precision agriculture. This paper deals with the approach that we follow for the development of the homonymous system and discusses its architecture with special focus on describing the communica- tion among artefacts and plants and on designing an ontology that provides a formal definition of the domain under consideration.
In this paper we discuss research work that enables the development of mixed societies of communicating plants and artefacts. PLANTS is an EU- funded Research and Development project, which aims to investigate methods of creating “interfaces” between artefacts and plants in order to enable people to form mixed, interacting (potentially co-operating) communities. Amongst others the project aims to develop hardware and software components that should enable a seamless interaction between plants and artefacts in scenarios ranging from domestic plant care to precision agriculture. This paper deals with the approach that we follow for the development of the homonymous system and discusses its architecture with special focus on describing the communica- tion among artefacts and plants and on designing an ontology that provides a formal definition of the domain under consideration.
C. Goumopoulos, N. Drossos, I. Calemis, A. Kameas, Α P2P communication architecture reflecting on the Plugs and Synapses model for ubiquitous computing systems, Tales of the Disappearing Computer Proceedings, pp. 371-383, 2003
Περίληψη:
An important requirement for ubiquitous computing systems is the support from communication technologies; P2P networking being the primary candidate. This paper presents a P2P communication architecture that reflects upon a plug/synapse model. The proposed architecture is part of GAS (Gadgetware Architectural Style), a generic architectural style, which allows computational artefacts (eGadgets), to be easily combined into meaningful configurations by users. The plug/synapse model provides the necessary conceptual abstractions to access uniformly eGadget’s services and capabilities in order to realize a collective behavior. The implementation of the architecture consists of algorithms and protocols for wireless, connectionless communication as well as mechanisms for internal diffusion of information exchanged.
An important requirement for ubiquitous computing systems is the support from communication technologies; P2P networking being the primary candidate. This paper presents a P2P communication architecture that reflects upon a plug/synapse model. The proposed architecture is part of GAS (Gadgetware Architectural Style), a generic architectural style, which allows computational artefacts (eGadgets), to be easily combined into meaningful configurations by users. The plug/synapse model provides the necessary conceptual abstractions to access uniformly eGadget’s services and capabilities in order to realize a collective behavior. The implementation of the architecture consists of algorithms and protocols for wireless, connectionless communication as well as mechanisms for internal diffusion of information exchanged.
C. Goumopoulos, E. Housos, Efficient Trip Generation with a Regulation Modeling Language for Airline Crew Scheduling, 8th Panhellenic Conference on Informatics, pp. 158-167, 2001
Περίληψη:
Trip generation is the most time-consuming phase of the crew scheduling process. A large number of trips must be constructed while satisfying a complex set of regulations. In this paper, we present an efficient trip generation method that utilizes effectively a legality checking system in order to reduce the corresponding search space. Special pruning rules are defined using a high-level rule language, which also supports the modeling of the business regulations required in the scheduling process. In addition, the legality checking mechanism has been tuned to perform efficiently in order to cope with the vast amount of the legality checks required by the trip generator. The algorithms are tested as a module for a crew re-scheduling application satisfying the tight response time requirements of a production system. We present experimental results based on problems provided by a major European airline that validate the usefulness and applicability of our work.
Trip generation is the most time-consuming phase of the crew scheduling process. A large number of trips must be constructed while satisfying a complex set of regulations. In this paper, we present an efficient trip generation method that utilizes effectively a legality checking system in order to reduce the corresponding search space. Special pruning rules are defined using a high-level rule language, which also supports the modeling of the business regulations required in the scheduling process. In addition, the legality checking mechanism has been tuned to perform efficiently in order to cope with the vast amount of the legality checks required by the trip generator. The algorithms are tested as a module for a crew re-scheduling application satisfying the tight response time requirements of a production system. We present experimental results based on problems provided by a major European airline that validate the usefulness and applicability of our work.
P. Alefragis, C. Goumopoulos, E. Housos, P. Sanders, T. Takkula, D. Wedelin, Parallel Crew Scheduling in PAROS, 4th International Euro-Par Conference , D.J. Pritchard and J. Reeve , pp. 1104-1113, 1998, Springer
Περίληψη:
We give an overview of the parallelization work done in PAROS. The specific parallelization objective has been to improve the speed of airline crew scheduling, on a network of workstations. The work is based on the Carmen System, which is used by most European airlines for this task. We give a brief background to the problem. The two most time critical parts of this system are the pairing generator and the optimizer. We present a pairing generator which distributes the enumeration of pairings over the processors. This works efficiently on a large number of loosely coupled workstations. The optimizer can be described as an iterative Lagrangian heuristic, and allows only for rather fine-grained parallelization. On low-latency machines, parallelizing the two innermost loops at once works well. A new "active-set" strategy makes more coarse- grained communication possible and even improves the sequential algorithm.
We give an overview of the parallelization work done in PAROS. The specific parallelization objective has been to improve the speed of airline crew scheduling, on a network of workstations. The work is based on the Carmen System, which is used by most European airlines for this task. We give a brief background to the problem. The two most time critical parts of this system are the pairing generator and the optimizer. We present a pairing generator which distributes the enumeration of pairings over the processors. This works efficiently on a large number of loosely coupled workstations. The optimizer can be described as an iterative Lagrangian heuristic, and allows only for rather fine-grained parallelization. On low-latency machines, parallelizing the two innermost loops at once works well. A new "active-set" strategy makes more coarse- grained communication possible and even improves the sequential algorithm.
C. Goumopoulos, P. Alefragis, E. Housos, Parallel Algorithms for Airline Crew Planning on Networks of Workstations, 27th International Conference on Parallel Processing , pp. 70-78, 1998, IEEE CS
Περίληψη:
The crew planning problem has been successfully solved on a loosely connected network of workstations (NOW) using advanced computational techniques and efficient communication patterns. The parallelization of the successful sequential system of Carmen Systems AB guarantees that the results are immediately useful and applicable to a large number of airlines scheduling problems. The parallel pairing generator component of the crew scheduling process achieves a linear speedup on the number of processors and can be efficiently scaled to a large number of processors. The novel parallel optimizer approach of the paper also achieves almost linear speedups for large problems solved on a small number of workstations. The Lufthansa problems that were used in our experiments validate our theoretical results and prove the value and usefulness of our work.
The crew planning problem has been successfully solved on a loosely connected network of workstations (NOW) using advanced computational techniques and efficient communication patterns. The parallelization of the successful sequential system of Carmen Systems AB guarantees that the results are immediately useful and applicable to a large number of airlines scheduling problems. The parallel pairing generator component of the crew scheduling process achieves a linear speedup on the number of processors and can be efficiently scaled to a large number of processors. The novel parallel optimizer approach of the paper also achieves almost linear speedups for large problems solved on a small number of workstations. The Lufthansa problems that were used in our experiments validate our theoretical results and prove the value and usefulness of our work.
C. Goumopoulos, P. Alefragis, K. Thrampoulidis, E. Housos, A Generic Legality Checker and Attribute Evaluator for a Distributed Enterprise Environment, 3rd IEEE International Symposium on Computers and Communications , pp. 286-292, 1998, IEEE CS
Περίληψη:
The present state of communication networks with respect to speed and reliability and the recent growth of distributed applications have created a need for a global enterprise solution to the legality checking and attribute evaluation requirement. Traditionally, the mainframe systems provided the cohesion of all the processes with respect to the company regulations. When decentralized systems and applications became widely used the legality checking mechanism lost its central role and became a necessary component for every decentralized system. In this paper a methodology to reconnect these systems with respect to their legality checking and attribute evaluation needs is presented. A generic Legality Checking system has been developed and integrated with scheduling systems of the airline domain. It is shown that the client- server model adopted can bring back in a flexible manner the lost homogeneity of the central legacy systems.
The present state of communication networks with respect to speed and reliability and the recent growth of distributed applications have created a need for a global enterprise solution to the legality checking and attribute evaluation requirement. Traditionally, the mainframe systems provided the cohesion of all the processes with respect to the company regulations. When decentralized systems and applications became widely used the legality checking mechanism lost its central role and became a necessary component for every decentralized system. In this paper a methodology to reconnect these systems with respect to their legality checking and attribute evaluation needs is presented. A generic Legality Checking system has been developed and integrated with scheduling systems of the airline domain. It is shown that the client- server model adopted can bring back in a flexible manner the lost homogeneity of the central legacy systems.
C. Goumopoulos, P. Alefragis, E. Housos, High Performance Airline Crew Pairing Optimization, 2nd European IASTED International Conference on Parallel and Distributed Systems, pp. 237-243, 1998
Περίληψη:
Crew-pairing optimization involves the creation of a feasible and as close to optimum set of trips that cover all the flying activity of an airline. The problem is NP- complete which makes it computationally intractable and its solution requires specialized algorithms and heuristics. A major goal of the HPCN Esprit project PAROS is to improve the speed of the crew-pairing optimization process for the solution of very large problems. In this paper the ability to efficiently solve large crew pairing problems on a network of workstations (NOW) is presented. The main components of the crew-pairing optimization process are the pairing generator and the pairing optimizer. Large crew pairing problems from Lufthansa have been solved with a near linear speedup on the generator and satisfactory results on the optimizer.
Crew-pairing optimization involves the creation of a feasible and as close to optimum set of trips that cover all the flying activity of an airline. The problem is NP- complete which makes it computationally intractable and its solution requires specialized algorithms and heuristics. A major goal of the HPCN Esprit project PAROS is to improve the speed of the crew-pairing optimization process for the solution of very large problems. In this paper the ability to efficiently solve large crew pairing problems on a network of workstations (NOW) is presented. The main components of the crew-pairing optimization process are the pairing generator and the pairing optimizer. Large crew pairing problems from Lufthansa have been solved with a near linear speedup on the generator and satisfactory results on the optimizer.
C. Goumopoulos, E. Housos, Ο. Liljenzin, Parallel Crew Scheduling on Workstation Networks using PVM, 4th European PVM-MPI Conference, M. Bubak et al. , pp. 470-477, 1997, Springer-Verlag
Περίληψη:
In this paper the ability to efficiently solve large crew scheduling problems on a network of workstations (NOW) is presented. Large crew scheduling problems from the Lufthansa set of problems have been solved with a near linear speedup on the generator component of the problem. The generator is the most time consuming component of the solution process, which implies that a significant improvement of the overall solution process is possible. This paper presents the first tangible results of the HPCN Esprit project PAROS, where the complete crew scheduling procedure on a NOW is parallelized and extended.
In this paper the ability to efficiently solve large crew scheduling problems on a network of workstations (NOW) is presented. Large crew scheduling problems from the Lufthansa set of problems have been solved with a near linear speedup on the generator component of the problem. The generator is the most time consuming component of the solution process, which implies that a significant improvement of the overall solution process is possible. This paper presents the first tangible results of the HPCN Esprit project PAROS, where the complete crew scheduling procedure on a NOW is parallelized and extended.
[1]
K. Thrampoulidis, C. Goumopoulos, E. Housos, Διαχείριση περιορισμών σε προβλήματα προγραμματισμού πόρων καθημερινής βάσης: μια αντικειμενοστραφής προσέγγιση, 5th Pan-Hellenic Conference on Informatics, pp. 821-830, Dec, 1995, Athens, Greece, EPY