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Persson, M. & Håkansson, A. (2015). A Communication Protocol for different communication technologies in Cyber-Physical Systems. In: KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015: . Paper presented at 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES), SEP 07-09, 2015, Singapore, SINGAPORE (pp. 1697-1706). Elsevier
Open this publication in new window or tab >>A Communication Protocol for different communication technologies in Cyber-Physical Systems
2015 (English)In: KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015, Elsevier, 2015, p. 1697-1706Conference paper, Published paper (Refereed)
Abstract [en]

The world is moving towards a time where more and more objects, like Internet of Things, will be connected in cyber-physical systems. These objects need excellent tools to collect information from sources in the surrounding environment. By using the wireless communication technologies of modern smartphones, such as Bluetooth, Near Field Communication, and Wi-Fi, a solid ground to transmit and receive information to and from various sources can be established. However, an obstacle communication protocols are needed to make the different devices transmit information. This paper presents a communication protocol for cyber-physical systems using wireless technologies and cloud computing to facilitate information exchange between objects. By constructing a communication protocol and implementing a system on top of the protocol, users can exchange useful information with the help of a smartphone or other devices with similar functionalities in cyber-physical systems. The protocol should enable using services with ease, hiding the complex underlying structure and make interactions as natural as possible.

Place, publisher, year, edition, pages
Elsevier, 2015
Series
Procedia Computer Science, ISSN 1877-0509 ; 60
Keyword
Cyber-Physical Systems, Internet of Things, Reasoning, Decision-making, Intelligent systems
National Category
Computer Sciences
Identifiers
urn:nbn:se:kth:diva-174253 (URN)10.1016/j.procs.2015.08.279 (DOI)000360571700184 ()2-s2.0-84941142722 (Scopus ID)
Conference
19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES), SEP 07-09, 2015, Singapore, SINGAPORE
Note

QC 20151016

Available from: 2015-10-16 Created: 2015-10-02 Last updated: 2018-01-11Bibliographically approved
Hartung, R. L., Håkansson, A. & Moradian, E. (2015). A prescription for Cyber Physical Systems. In: KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015: . Paper presented at 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES), SEP 07-09, 2015, Singapore, SINGAPORE (pp. 1552-1558). Elsevier
Open this publication in new window or tab >>A prescription for Cyber Physical Systems
2015 (English)In: KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015, Elsevier, 2015, p. 1552-1558Conference paper, Published paper (Refereed)
Abstract [en]

This paper is a philosophic look at(view of) the promise and perils of cyber physical systems. It is not a doom and gloom view of the systems (It is overview of the current systems and their technologies), we believe in the bright and useful future of the cyber physical environments (systems?). However, looking at the history of technology in the recent past, the need of careful prescription to design systems that prevent the unforeseen less than positive side of technology. No matter how useful a technology is, the providers soon push burdensome "features" on to the unsuspecting user.

Place, publisher, year, edition, pages
Elsevier, 2015
Series
Procedia Computer Science, ISSN 1877-0509 ; 60
Keyword
Cyber Physical, security
National Category
Computer Sciences
Identifiers
urn:nbn:se:kth:diva-174251 (URN)10.1016/j.procs.2015.08.264 (DOI)000360571700168 ()2-s2.0-84941145432 (Scopus ID)
Conference
19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES), SEP 07-09, 2015, Singapore, SINGAPORE
Note

QC 20151009

Available from: 2015-10-09 Created: 2015-10-02 Last updated: 2018-01-11Bibliographically approved
Håkansson, A., Hartung, R. & Moradian, E. (2015). Reasoning Strategies in Smart Cyber-Physical Systems. In: KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015: . Paper presented at 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES), SEP 07-09, 2015, Singapore, SINGAPORE (pp. 1575-1584). Elsevier
Open this publication in new window or tab >>Reasoning Strategies in Smart Cyber-Physical Systems
2015 (English)In: KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015, Elsevier, 2015, p. 1575-1584Conference paper, Published paper (Refereed)
Abstract [en]

Cyber-physical systems are integrations of computerized physical things in the environment that are merged by communications, and computations using embedded systems and networks. To make the components of the systems act intelligently, according to users' needs, and understand and predict behavior of the cyber-physical systems, the cyber-physical systems need reasoning to link the outcome of the different components to be able to make use of the devices in the surrounding environment. The reasoning includes collecting sensor data, finding key concepts in the data and drawing conclusions that cyber-physical systems can use to control the components surrounding the users. However, there is a range of different components in a system where each has particular communication input-output and its own set tasks, which provides particular challenges associated with controlling or predicting the behavior of such systems, which require a kind of analytic tools. This paper presents reasoning strategies for smart cyber-physical systems that can extract and combine data, information, and knowledge to provide an intelligent behavior from users point of view. The reasoning strategies use users' needs as a starting point and provide an environment that gives personalized support.

Place, publisher, year, edition, pages
Elsevier, 2015
Series
Procedia Computer Science, ISSN 1877-0509 ; 60
Keyword
Cyber-Physical Systems, Internet of Things, Reasoning, Decision-making, Intelligent systems
National Category
Computer Sciences
Identifiers
urn:nbn:se:kth:diva-174252 (URN)10.1016/j.procs.2015.08.267 (DOI)000360571700171 ()2-s2.0-84941125049 (Scopus ID)
Conference
19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES), SEP 07-09, 2015, Singapore, SINGAPORE
Note

QC 20151009

Available from: 2015-10-09 Created: 2015-10-02 Last updated: 2018-01-11Bibliographically approved
Wu, D. & Håkansson, A. (2014). A method for creating and using a context knowledge base for ontology integration. Information Sciences
Open this publication in new window or tab >>A method for creating and using a context knowledge base for ontology integration
2014 (English)In: Information Sciences, ISSN 0020-0255, E-ISSN 1872-6291Article in journal, Editorial material (Refereed) Submitted
Abstract [en]

Ontology integrations are applied for generating new ontologies used for providing advanced services. Although many algorithms and systems for ontology integration have been proposed, it is still very difficult to achieve semantic and pragmatic ontology matching and integration. To tackle the problems, a method of building and using a context knowledge base is needed to get the context of ontologies used for matching and integration. In the method, a context knowledge base with context rules is developed upon an ontology repository to improve the ontology integration. In the context knowledge base, context rules use Ontology Metadata Vocabulary to describe contexts. The stored ontologies that in the repository satisfy a particular context, are extracted and integrated automatically to form contextual information. In the contextual information, both the consistent ontological definitions and the different perspectives from various ontologies of string-identical entities are used. For new ontology integrations, context rules are searched and triggered according to the context of the ontology integration at hand. The contextual information of the rules is aggregated for improving the new ontology integration. Meta-rules are also automatically built to be able to apply the context rules in a hierarchical relation. Experiments of integrations show that the context knowledge base provides extra contextual information for ontology integration. Moreover, when comparing an integration using the context knowledge base to an ontology integration without the context knowledge base, the results of the contextual ontology integrations are improved. At the same time, it is observed that the quantity and the quality of the stored ontologies, in a repository, determine the quality of the context knowledge base. The better quality and quantity of the context knowledge base, the higher degree of improvement it infers to the contextual ontology integrations.

Place, publisher, year, edition, pages
Elsevier, 2014
Keyword
ontology integration, context, knowledge base, rules, contextual ontology intersection
National Category
Computer Systems
Research subject
SRA - ICT
Identifiers
urn:nbn:se:kth:diva-154140 (URN)
Note

QS 2015

Available from: 2014-10-14 Created: 2014-10-14 Last updated: 2017-12-05Bibliographically approved
Wu, D. & Håkansson, A. (2014). A method of identifying ontology domain. In: Procedia Computer Science 35, ELSEVIER, 2014: . Paper presented at 18th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Gdynia, Poland, 15-17 September, 2014 (pp. 505-513). Amsterdam: Elsevier B.V.
Open this publication in new window or tab >>A method of identifying ontology domain
2014 (English)In: Procedia Computer Science 35, ELSEVIER, 2014, Amsterdam: Elsevier B.V. , 2014, p. 505-513Conference paper, Published paper (Refereed)
Abstract [en]

Metadata, such as the domain description and the purpose of an ontology, can be used to describe the context of ontologies for ontology integration. However, these metadata are not always available in ontologies. To solve the problem, a method is developed to automatically discern the domain of an ontology. This method uses a so-called core domain ontology, rulesand an ontology reasoner to identify the domain. The core domain ontology is a light weight ontology that consists of the essential concepts of a domain. Rules and the ontology reasoner are used to test if the core domain ontology is consistent with an ontology for which the domain needs to be identified. If the two ontologies are not in violation, then the method confirms the consistency between them, that is, the test ontology shares the same domain as the core domain ontology. If the core domain ontology shows inconsistency with the test ontology, they do not share the same domain and then theontology can be used to compare with another core domain ontology. Experiments on the core domain ontology for the conference domain show good results. Ten ontologies of mixed domains are compared with the core conference ontology. Eight ontologies’ domain are correctly identified, out of which, four ontologies are identified as sharing the same ontology domain.

Place, publisher, year, edition, pages
Amsterdam: Elsevier B.V., 2014
Series
Procedia Computer Science , available online at www.sciencedirect.com ; 35
Keyword
domain identification of ontology, metadata, semantic ontology integration
National Category
Computer Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:kth:diva-154087 (URN)10.1016/j.procs.2014.08.131 (DOI)000345394100051 ()2-s2.0-84924120104 (Scopus ID)
Conference
18th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Gdynia, Poland, 15-17 September, 2014
Note

QC 20150121

Available from: 2014-10-14 Created: 2014-10-14 Last updated: 2015-01-21Bibliographically approved
Håkansson, A. & Hartung, R. (2014). An infrastructure for individualised and intelligent decision-making and negotiation in cyber-physical systems. Paper presented at 18th Annual International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES), SEP 15-17, 2014, Gdynia, POLAND. Procedia Computer Science, 35, 822-831
Open this publication in new window or tab >>An infrastructure for individualised and intelligent decision-making and negotiation in cyber-physical systems
2014 (English)In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 35, p. 822-831Article in journal (Refereed) Published
Abstract [en]

Cyber-physical systems are often developed with an emphasis on the network of computational elements and the linkage between the computational and physical elements. The physical elements are different kinds of Internet of Things devices that carry out desirable and valid tasks from instructions. However, due to the limitations of current individual-based secure products and delivery of services, the requisites of these products and services have started to increase and, hence, the requirements for intelligent automated, networked and mobile devices arise. The current state of communication between the elements in Internet of Things is data exchange and needs step up to next level to improve the interaction with the surrounding devices to augmenting human capabilities. This paper presents an infrastructure for individualised intelligent decision-making and negotiation in cyber-physical systems with smart Internet of Things devices. The decision-making and negotiation is based on individual preferences to provide the best individual-based solutions. The solution is applied to health care, which will permeate throughout the paper.

Keyword
Cyber-Physical Systems, Internet of Things devices, Intelligent reasoning, Decision-making, Negotiation
National Category
Software Engineering Computer Systems
Identifiers
urn:nbn:se:kth:diva-158352 (URN)10.1016/j.procs.2014.08.248 (DOI)000345394100085 ()2-s2.0-84924124356 (Scopus ID)
Conference
18th Annual International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES), SEP 15-17, 2014, Gdynia, POLAND
Note

QC 20150121

Available from: 2015-01-21 Created: 2015-01-07 Last updated: 2018-01-11Bibliographically approved
Hartung, R. L. & Håkansson, A. (2014). Experience based reasoning system coupled with real world knowledge. In: Procedia Computer Science: . Paper presented at International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014, 15 September 2014 through 17 September 2014 (pp. 186-193). (C)
Open this publication in new window or tab >>Experience based reasoning system coupled with real world knowledge
2014 (English)In: Procedia Computer Science, 2014, no C, p. 186-193Conference paper, Published paper (Refereed)
Abstract [en]

Human intelligence draws its conclusions from a base of experience-generated knowledge. Beside being able to use this knowledge, it is limited to how much can be accessed at a time and this reasoning is often shown to be illogical, with respect to mathematical logics. The human's knowledge is always growing and being modified by current experience. In addition, the humans' processing capability appears to be severally limited. This limitation is far from being a burden; it is part of the brilliance of the solution. The human mind does a every effective job of dealing with the world. For proof, we invoke the fact that human kind as survived and thrived. The current work is a first step in exploring a reasoner than can act in a human inspired performance, which is in the direction of general artificial intelligence.

Keyword
Artificial general intelligence, Experience, Knowledge-based systems, Reasoning
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:kth:diva-167922 (URN)10.1016/j.procs.2014.08.098 (DOI)000345394100018 ()2-s2.0-84924160045 (Scopus ID)
Conference
International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014, 15 September 2014 through 17 September 2014
Note

QC 20150608

Available from: 2015-06-08 Created: 2015-05-22 Last updated: 2018-01-11Bibliographically approved
Håkansson, A. (2013). AIC - An AI-system for Combination of senses. Paper presented at KES-201317th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems; Kitakyushu, Japan, 9, 10 & 11 September 2013. Procedia Computer Science, 22, 40-49
Open this publication in new window or tab >>AIC - An AI-system for Combination of senses
2013 (English)In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 22, p. 40-49Article in journal (Refereed) Published
Abstract [en]

AI-complete systems developed today, are commonly used for solving different artificial intelligence problems.A problem is a typical image recognition or speech recognition, but it can also be language processing, as wellas, other complex systems dealing with general problem solving. However, no AI-complete system, whichmodels the human brain or behavior, can exist without looking at the totality of the whole situation and, andhence, incorporating an AI-computerized sensory systems into a totality that constitute a combination of senses.This paper proposes a combination of sensory systems to form a comprehensive AI-system by combining thedifferent senses, called AIC –AI-system for a combination of senses. The AIC-system is not a complete systemin the sense that it contains a total set of information or uses all kinds of digital sensory systems. Nonetheless, itis a system under self-development. It develops its own knowledge base, as experiences, which will be basedon the different characteristics: images, sounds, smells, tastes, touches with emotions/feelings and expressions.The result is a kind of perception of the surrounding environment.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2013
Keyword
AI-systems, Complex systems, Artificial perception
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-136976 (URN)10.1016/j.procs.2013.09.079 (DOI)2-s2.0-84896958303 (Scopus ID)
Conference
KES-201317th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems; Kitakyushu, Japan, 9, 10 & 11 September 2013
Note

Updated from conference paper to article.

QC 20131210

Available from: 2013-12-10 Created: 2013-12-10 Last updated: 2017-12-06Bibliographically approved
Håkansson, A. & Wu, D. (2013). Conceptual ontology intersection for mapping and alignment of ontologies. In: Agent and Multi-Agent Systems in Distributed Systems - Digital Economy and E-Commerce: (pp. 105-124). Springer Berlin/Heidelberg
Open this publication in new window or tab >>Conceptual ontology intersection for mapping and alignment of ontologies
2013 (English)In: Agent and Multi-Agent Systems in Distributed Systems - Digital Economy and E-Commerce, Springer Berlin/Heidelberg, 2013, p. 105-124Chapter in book (Refereed)
Abstract [en]

Combining ontologies can enrich knowledge within a domain and support the development and use of advanced services. This requires matching and combining the relevant ontologies for specific services, which can be supported by mapping and alignment of several ontologies. However, these techniques are not enough since the ontologies are often heterogeneous and difficult to combine. To overcome these problems, a conceptual ontology intersection is provided to map and align contents of the ontologies. This intersection is a conceptual ontology bridge between ontologies and contains parts from the involved ontologies. The contents are extracted by syntactic mapping and synonym alignment using an ontology repository, a rule base and a synonym lexicon using agents. The result is a set of concepts that together constitute the intersection, which is used for combining new incoming ontologies and, thereby, providing complex services.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013
Series
Studies in Computational Intelligence, ISSN 1860-949X ; 462
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-143286 (URN)2-s2.0-84893154439 (Scopus ID)
Note

QC 20140320

Available from: 2014-03-20 Created: 2014-03-19 Last updated: 2017-11-29Bibliographically approved
Håkansson, A. (2013). Environmental Impact Assessment: Assess for Sustainability. Paper presented at Mediterranean Green Energy Forum (MGEF), JUN 16-20, 2013, Fes, MOROCCO. Energy Procedia, 42, 16-17
Open this publication in new window or tab >>Environmental Impact Assessment: Assess for Sustainability
2013 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 42, p. 16-17Article in journal (Refereed) Published
National Category
Energy Engineering
Identifiers
urn:nbn:se:kth:diva-158368 (URN)000345370100008 ()
Conference
Mediterranean Green Energy Forum (MGEF), JUN 16-20, 2013, Fes, MOROCCO
Note

QC 20150115

Available from: 2015-01-15 Created: 2015-01-07 Last updated: 2017-12-05Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9255-9236

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