... References 1. S. Andler, J. Hansson, J. Eriksson, J. Mellin, M. Berndtsson, and B. Eftring. .... more ... References 1. S. Andler, J. Hansson, J. Eriksson, J. Mellin, M. Berndtsson, and B. Eftring. ... 8. S. Chakravarthy, B. Blaustein, AP Buchmann, M. Carey, U. Dayal, D. Goldhirsch, M. Hsu, R. Jauhuri, R. Ladin, M. Livny, D. McCarthy, R. McKee, and A. Rosenthal. ...
– A more precise definition of the field of information fusion can be of benefit to researchers w... more – A more precise definition of the field of information fusion can be of benefit to researchers within the field, who may use such a definition when motivating their own work and evaluating the contribution of others. Moreover, it can enable researchers and practitioners outside the field to more easily relate their own work to the field and more easily understand the scope of the techniques and methods developed in the field. Previous definitions of information fusion are reviewed from that perspective, including definitions of data and sensor fusion, and their appropriateness as definitions for the entire research field are discussed. Based on strengths and weaknesses of existing definitions, a novel definition is proposed, which is argued to effectively fulfill the requirements that can be put on a definition of information fusion as a field of research.
In loving memory of my daughter Sofia who supported and encouraged my studies but never got the c... more In loving memory of my daughter Sofia who supported and encouraged my studies but never got the chance to see the work finished
2008 11th International Conference on Information Fusion, Jun 1, 2008
Bayesian networks are often proposed as a method for high-level information fusion. However, a Ba... more Bayesian networks are often proposed as a method for high-level information fusion. However, a Bayesian network relies on strong assumptions about the underlying probabilities. In many cases it is not realistic to require such precise probability assessments. We show that there exists a significant set of problems where credal networks outperform Bayesian networks, thus enabling more dependable decision making for this type of problems. A credal network is a graphical probabilistic method that utilizes sets of probability distributions, e.g., interval probabilities, for representation of belief. Such a representation allows one to properly express epistemic uncertainty, i.e., uncertainty that can be reduced if more information becomes available. Since reducing uncertainty has been proposed as one of the main goals of information fusion, the ability to represent epistemic uncertainty becomes an important aspect in all fusion applications.
Proceedings of the 31st Annual ACM Symposium on Applied Computing - SAC '16, 2016
Software testability refers to the characteristics of an artifact that impact ease to ful ll test... more Software testability refers to the characteristics of an artifact that impact ease to ful ll test objectives. In most of the research on software testability, functional correct-ness of the software has been the focus while the evidence regarding testability and non-functional properties such as performance is sporadic. The objective of this study is to present the current state-of-the-art related to issues of importance, types and domains of software under test, types of research, contribution types and design evaluation methods concerning testability and software performance. We have conducted a systematic mapping study on the topic by following the recommended guidelines. We nd that observability, controllability and testing e ort are the main testability issues while timeliness and response time (i.e., time constraints) are the main performance issues in focus. The primary studies in the area use diverse types of software under test within di erent domains, with real-time systems as being a dominant domain. The researchers have proposed many di erent methods in the area, however these methods lack implementation in practice as suggested by our gures for research type, contribution type and design evaluation methods. CCS Concepts Software and its engineering ! Extra-functional properties ;
This paper provides an overview of a collaborative research program in information fusion from da... more This paper provides an overview of a collaborative research program in information fusion from databases, sensors and simulations. Information fusion entails the combination of data from multiple sources, to generate information that cannot be derived from the individual sources. This area is of strategic importance for industry and defense, as well as public administration areas such as health care, and needs to be pursued as an academic subject. A large number of industrial partners are supporting and participating in the development of the area. The paper describes the program's general approach and main research areas, with a particular focus on the role of information fusion in systems development.
To achieve better scalability in a fully replicated distributed main-memory database, we propose ... more To achieve better scalability in a fully replicated distributed main-memory database, we propose support for virtual full replication. Full replication is often necessary for availability and predictability in critical embedded applications. In the fully replicated database, however, all updates are sent to all nodes, regardless of whether the data is ever used at every node. Virtual full replication is a concept that improves scalability without changing the application's assumption of having access to a fully replicated database. We support virtual full replication by segmenting the database and allowing segments to have individual degrees of replication. This decreases the replication effort, lowers overall memory requirements for data and decreases node recovery time. Typical scenarios include distributed databases with many nodes, where often only a small number of the nodes need to share the same subset of information. We have previously specified a segmentation syntax for specifying important application semantics and outlined an implementation. Here, we analyze the potential scalability improvements in such an architecture.
19Th Ieee International Parallel and Distributed Processing Symposium, 2005
We introduce the continuous convergence protocol for handling locally committed and possibly conc... more We introduce the continuous convergence protocol for handling locally committed and possibly concurrent updates to replicated data objects in distributed real-time databases. The protocol is designed for systems where replicated database objects are used to share data between collaborating real-time applications. We define the properties of the protocol, and describe how it can be implemented using data structures such as version vectors and conflict sets. We also show how applications can exploit the protocol's properties, and how the protocol supports forward resolution of update conflicts.
A more precise definition of the field of information fusion can be of benefit to researchers wit... more A more precise definition of the field of information fusion can be of benefit to researchers within the field, who may use such a definition when motivating their own work and evaluating the contribution of others. Moreover, it can enable researchers and practitioners outside the field to more easily relate their own work to the field and more easily understand the scope of the techniques and methods developed in the field. Previous definitions of information fusion are reviewed from that perspective, including definitions of data and sensor fusion, and their appropriateness as definitions for the entire research field are discussed. Based on strengths and weaknesses of existing definitions, a novel definition is proposed, which is argued to effectively fulfill the requirements that can be put on a definition of information fusion as a field of research.
This paper provides an overview of a collaborative research program in information fusion from da... more This paper provides an overview of a collaborative research program in information fusion from databases, sensors and simulations. Information fusion entails the combination of data from multiple sources, to generate information that cannot be derived from the individual sources. This area is of strategic importance for industry and defense, as well as public administration areas such as health care, and needs to be pursued as an academic subject. A large number of industrial partners are supporting and participating in the development of the area. The paper describes the program 's general approach and main research areas, with a particular focus on the role of information fusion in systems development
This paper provides an overview of a collaborative research program in information fusion from da... more This paper provides an overview of a collaborative research program in information fusion from databases, sensors and simulations. Information fusion entails the combination of data from multiple sources, to generate information that cannot be derived from the individual sources. This area is of strategic importance for industry and defense, as well as public administration areas such as health care, and needs to be pursued as an academic subject. A large number of industrial partners are supporting and participating in the development of the area. The paper describes the program's general approach and main research areas, with a particular focus on the role of information fusion in systems development.
We implement Virtual full replication for a distributed real-time database by segmenting the data... more We implement Virtual full replication for a distributed real-time database by segmenting the database on multiple data properties. Virtual full replication provides an image to the application of full replication in a partially replicated database, by replicating data to meet the actual data needs of the users of the data. This is useful since fully replicated real-time databases, that allow updates at all nodes, do not scale well as updates must be replicated to every other node for replica consistency, also to nodes where only a small share of the database will ever be used. We propose an algorithm that segments the database on multiple data properties without causing a combinatorial problem. We show, by analysis and an implementation, that scalability for such a system can be improved due to scalable resource usage, while application semantics of full replication is unchanged.
... References 1. S. Andler, J. Hansson, J. Eriksson, J. Mellin, M. Berndtsson, and B. Eftring. .... more ... References 1. S. Andler, J. Hansson, J. Eriksson, J. Mellin, M. Berndtsson, and B. Eftring. ... 8. S. Chakravarthy, B. Blaustein, AP Buchmann, M. Carey, U. Dayal, D. Goldhirsch, M. Hsu, R. Jauhuri, R. Ladin, M. Livny, D. McCarthy, R. McKee, and A. Rosenthal. ...
– A more precise definition of the field of information fusion can be of benefit to researchers w... more – A more precise definition of the field of information fusion can be of benefit to researchers within the field, who may use such a definition when motivating their own work and evaluating the contribution of others. Moreover, it can enable researchers and practitioners outside the field to more easily relate their own work to the field and more easily understand the scope of the techniques and methods developed in the field. Previous definitions of information fusion are reviewed from that perspective, including definitions of data and sensor fusion, and their appropriateness as definitions for the entire research field are discussed. Based on strengths and weaknesses of existing definitions, a novel definition is proposed, which is argued to effectively fulfill the requirements that can be put on a definition of information fusion as a field of research.
In loving memory of my daughter Sofia who supported and encouraged my studies but never got the c... more In loving memory of my daughter Sofia who supported and encouraged my studies but never got the chance to see the work finished
2008 11th International Conference on Information Fusion, Jun 1, 2008
Bayesian networks are often proposed as a method for high-level information fusion. However, a Ba... more Bayesian networks are often proposed as a method for high-level information fusion. However, a Bayesian network relies on strong assumptions about the underlying probabilities. In many cases it is not realistic to require such precise probability assessments. We show that there exists a significant set of problems where credal networks outperform Bayesian networks, thus enabling more dependable decision making for this type of problems. A credal network is a graphical probabilistic method that utilizes sets of probability distributions, e.g., interval probabilities, for representation of belief. Such a representation allows one to properly express epistemic uncertainty, i.e., uncertainty that can be reduced if more information becomes available. Since reducing uncertainty has been proposed as one of the main goals of information fusion, the ability to represent epistemic uncertainty becomes an important aspect in all fusion applications.
Proceedings of the 31st Annual ACM Symposium on Applied Computing - SAC '16, 2016
Software testability refers to the characteristics of an artifact that impact ease to ful ll test... more Software testability refers to the characteristics of an artifact that impact ease to ful ll test objectives. In most of the research on software testability, functional correct-ness of the software has been the focus while the evidence regarding testability and non-functional properties such as performance is sporadic. The objective of this study is to present the current state-of-the-art related to issues of importance, types and domains of software under test, types of research, contribution types and design evaluation methods concerning testability and software performance. We have conducted a systematic mapping study on the topic by following the recommended guidelines. We nd that observability, controllability and testing e ort are the main testability issues while timeliness and response time (i.e., time constraints) are the main performance issues in focus. The primary studies in the area use diverse types of software under test within di erent domains, with real-time systems as being a dominant domain. The researchers have proposed many di erent methods in the area, however these methods lack implementation in practice as suggested by our gures for research type, contribution type and design evaluation methods. CCS Concepts Software and its engineering ! Extra-functional properties ;
This paper provides an overview of a collaborative research program in information fusion from da... more This paper provides an overview of a collaborative research program in information fusion from databases, sensors and simulations. Information fusion entails the combination of data from multiple sources, to generate information that cannot be derived from the individual sources. This area is of strategic importance for industry and defense, as well as public administration areas such as health care, and needs to be pursued as an academic subject. A large number of industrial partners are supporting and participating in the development of the area. The paper describes the program's general approach and main research areas, with a particular focus on the role of information fusion in systems development.
To achieve better scalability in a fully replicated distributed main-memory database, we propose ... more To achieve better scalability in a fully replicated distributed main-memory database, we propose support for virtual full replication. Full replication is often necessary for availability and predictability in critical embedded applications. In the fully replicated database, however, all updates are sent to all nodes, regardless of whether the data is ever used at every node. Virtual full replication is a concept that improves scalability without changing the application's assumption of having access to a fully replicated database. We support virtual full replication by segmenting the database and allowing segments to have individual degrees of replication. This decreases the replication effort, lowers overall memory requirements for data and decreases node recovery time. Typical scenarios include distributed databases with many nodes, where often only a small number of the nodes need to share the same subset of information. We have previously specified a segmentation syntax for specifying important application semantics and outlined an implementation. Here, we analyze the potential scalability improvements in such an architecture.
19Th Ieee International Parallel and Distributed Processing Symposium, 2005
We introduce the continuous convergence protocol for handling locally committed and possibly conc... more We introduce the continuous convergence protocol for handling locally committed and possibly concurrent updates to replicated data objects in distributed real-time databases. The protocol is designed for systems where replicated database objects are used to share data between collaborating real-time applications. We define the properties of the protocol, and describe how it can be implemented using data structures such as version vectors and conflict sets. We also show how applications can exploit the protocol's properties, and how the protocol supports forward resolution of update conflicts.
A more precise definition of the field of information fusion can be of benefit to researchers wit... more A more precise definition of the field of information fusion can be of benefit to researchers within the field, who may use such a definition when motivating their own work and evaluating the contribution of others. Moreover, it can enable researchers and practitioners outside the field to more easily relate their own work to the field and more easily understand the scope of the techniques and methods developed in the field. Previous definitions of information fusion are reviewed from that perspective, including definitions of data and sensor fusion, and their appropriateness as definitions for the entire research field are discussed. Based on strengths and weaknesses of existing definitions, a novel definition is proposed, which is argued to effectively fulfill the requirements that can be put on a definition of information fusion as a field of research.
This paper provides an overview of a collaborative research program in information fusion from da... more This paper provides an overview of a collaborative research program in information fusion from databases, sensors and simulations. Information fusion entails the combination of data from multiple sources, to generate information that cannot be derived from the individual sources. This area is of strategic importance for industry and defense, as well as public administration areas such as health care, and needs to be pursued as an academic subject. A large number of industrial partners are supporting and participating in the development of the area. The paper describes the program 's general approach and main research areas, with a particular focus on the role of information fusion in systems development
This paper provides an overview of a collaborative research program in information fusion from da... more This paper provides an overview of a collaborative research program in information fusion from databases, sensors and simulations. Information fusion entails the combination of data from multiple sources, to generate information that cannot be derived from the individual sources. This area is of strategic importance for industry and defense, as well as public administration areas such as health care, and needs to be pursued as an academic subject. A large number of industrial partners are supporting and participating in the development of the area. The paper describes the program's general approach and main research areas, with a particular focus on the role of information fusion in systems development.
We implement Virtual full replication for a distributed real-time database by segmenting the data... more We implement Virtual full replication for a distributed real-time database by segmenting the database on multiple data properties. Virtual full replication provides an image to the application of full replication in a partially replicated database, by replicating data to meet the actual data needs of the users of the data. This is useful since fully replicated real-time databases, that allow updates at all nodes, do not scale well as updates must be replicated to every other node for replica consistency, also to nodes where only a small share of the database will ever be used. We propose an algorithm that segments the database on multiple data properties without causing a combinatorial problem. We show, by analysis and an implementation, that scalability for such a system can be improved due to scalable resource usage, while application semantics of full replication is unchanged.
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Papers by Sten F Andler