2008 IEEE/OES US/EU-Baltic International Symposium
The Gulf of Mexico hydrates research consortium has been designing a sea-floor observatory to mon... more The Gulf of Mexico hydrates research consortium has been designing a sea-floor observatory to monitor natural gas hydrates in the gulf of Mexico for almost ten years. The observatory will consist of seismo-acoustic receiving arrays, geochemical arrays in the lower water column and upper sediments as well as systems for observing microbial activity. Mississippi Canyon Lease Block 118 (MC118) in
Sleep apnea is a serious and severely under-diagnosed sleep-related respiration disorder characte... more Sleep apnea is a serious and severely under-diagnosed sleep-related respiration disorder characterized by repeated disrupted breathing events during sleep. It is diagnosed via polysomnography which is an expensive test conducted in a sleep lab requiring sleep experts to manually score the recorded data. Since the symptoms of sleep apnea are often ambiguous, it is difficult for a physician to decide whether to prescribe polysomnography. In this study, we investigate whether helpful information can be obtained by collecting and automatically analysing sleep data using a smartphone and an inexpensive strain gauge respiration belt. We evaluate how accurately we can detect sleep apnea with wide variety of machine learning techniques with data from a clinical study with 49 overnight sleep recordings. With less than one hour of training, we can distinguish between normal and apneic minutes with an accuracy, sensitivity, and specificity of 0.7609, 0.7833, and 0.7217, respectively. These res...
The presented data model is a novel approach for integrating temporal concepts into a multimedia ... more The presented data model is a novel approach for integrating temporal concepts into a multimedia database system. Multimedia objects are extended with the traditional time dimensions valid time and transaction time. In addition a new time dimension specifically tailored for multimedia data types is presented with semantics that are completely orthogonal to the already established time dimensions, valid time and transaction time, i.e., the model supports a 3D time for multimedia data. This new time dimension, the play time dimension, places the building blocks of multimedia data in a temporal structure for multimedia presentation. This model is currently being implemented in a MMDBS for distance education at UNIK, University of Oslo.
Driven by the goal to enable sleep apnea monitoring and machine learning-based detection at home ... more Driven by the goal to enable sleep apnea monitoring and machine learning-based detection at home with small mobile devices, we investigate whether interpretation-based indirect knowledge transfer can be used to create classifiers with acceptable performance. Interpretation-based indirect knowledge transfer means that a classifier (student) learns from a synthetic dataset based on the knowledge representation from an already trained Deep Network (teacher). We use activation maximization to generate visualizations and create a synthetic dataset to train the student classifier. This approach has the advantage that student classifiers can be trained without access to the original training data. With experiments we investigate the feasibility of interpretation-based indirect knowledge transfer and its limitations. The student achieves an accuracy of 97.8% on MNIST (teacher accuracy: 99.3%) with a similar smaller architecture to that of the teacher. The student classifier achieves an accu...
The Arctic Beans project is investigating the area of “Configurable and Reconfigurable Enterprise... more The Arctic Beans project is investigating the area of “Configurable and Reconfigurable Enterprise Component Architectures” . The general aim of this research is to develop more open and flexible middleware technologies, focusing on enterprise (or server-side) component architecture (such as Enterprise JavaBeans or the CORBA Component Model). The great benefit of such technologies is that they encourage re-use of components developed by third-party suppliers, and also manage distribution implicitly through the concept of a container. This works well for a significant number of application domains. However, there is increasing evidence that there are problems with this approach as the technology is applied in other areas (e.g. in mobile computing). The reason for this is that enterprise component architectures tend to enforce a certain style of distribution management in terms of, for example, the approach to persistence, security, and transactions, or the general model of interaction...
Internet services like the world-wide web and applications like News-on-Demand have become very p... more Internet services like the world-wide web and applications like News-on-Demand have become very popular over the last years. The number of users, as well as the amount of multimedia data downloaded by each user from servers in the Internet, is rapidly increasing. In this context, the potentially (very) high number of concurrent users that retrieve data from servers represents a generic problem. In the Intermediate Storage Node Concept (INSTANCE) project, we develop a radically new architecture for Media-on-Demand servers that maximizes the number of concurrent clients a single server can support. Traditional bottlenecks, like copy operations, multiple copies of the same data element in main memory, and checksum calculations in communication protocols are avoided by applying three orthogonal techniques: zero-copy-one-copy memory architecture, integrated error management, and network level framing. In this paper, we describe the design of the network level framing concept, which enabl...
Journal of Ambient Intelligence and Humanized Computing
IoT-based systems for early epidemic detection have not been investigated yet in the research. Th... more IoT-based systems for early epidemic detection have not been investigated yet in the research. The state-of-the art in sensor technology and activity recognition makes it possible to automatically detect activities of daily living (ADL). Semantic reasoning over ADLs can discover anomalies and symptoms for disorders, hence diseases and epidemics. However, semantic reasoning is computationally rather expensive and therefore unusable for real-time monitoring in large scale applications, like early epidemic detection. To overcome this limitation, this paper proposes a new scalable semantic framework based on several semantic reasoning techniques that are distributed over a semantic middleware. To reduce the number of events to process during the semantic reasoning, a complex event processing (CEP) engine is used to detect abnormal events in ADL and to generate the associated symptom indicators. To demonstrate real-time detection and scalability, the proposed framework integrates a new extension of ADLSim, a discrete event simulator that simulates long-term sequences of ADL.
Mobile Ad-Hoc Networks maintain information in the routing table about reachable nodes. In emerge... more Mobile Ad-Hoc Networks maintain information in the routing table about reachable nodes. In emergency and rescue operations, human groups play an important role. This is visible at the network level as independent network partitions which are for some time stable before their members change through merging or partitioning. We use the information from stable routing tables to optimize the synchronization
Proceedings of the 12th International Conference on Telecommunications, 2013
ABSTRACT The dynamically changing set of multimedia capable devices in the vicinity of a user can... more ABSTRACT The dynamically changing set of multimedia capable devices in the vicinity of a user can be leveraged to create new ways of experiencing multimedia applications through migrating parts of running multimedia applications to the most suited devices. This paper addresses one of the core challenges of application migration, i.e., migration of transport protocol state that is maintained by the endpoints of established connections. Our solution fulfills the stringent temporal requirements of multimedia applications and enables migratable applications to interact with legacy applications, e.g., a migratable video player together with YouTube. The core idea of our solution, called SOCKMAN, is to provide a middleware service to hide that proxy-based forwarding is used to migrate connection endpoints, i.e. sockets, and to maintain an end-to-end perspective for the applications. The evaluation of the SOCKMAN implementation shows that SOCKMAN meets multimedia application requirements, preserves transport protocol state, and performs well on low-end devices, like mobile phones.
The trends over the recent years show an increase in stream- ing media transported across the Int... more The trends over the recent years show an increase in stream- ing media transported across the Internet in addition to al- ready abundant web traffic, increasing the need for distri- bution schemes that efficiently handle this type of traffic. There are two obvious bottlenecks in any content distribu- tion system, namely the origin server and the network. Our goal is
Proceedings of the 8th International Conference on Telecommunications, 2005. ConTEL 2005., 2005
Summary form only given. A new class of data-intensive applications, such as sensor networks, net... more Summary form only given. A new class of data-intensive applications, such as sensor networks, network traffic analysis, financial tickers, Web or telecommunications transaction log analysis, has become widely recognized. These applications require support for on-line analysis of rapidly changing data streams. However, traditional database management systems (DBMS) have no pre-defined notion of time and cannot handle data on-line (i.e., in
Abstract Peer-to-peer (P2P) based networks have several desirable features for content distributi... more Abstract Peer-to-peer (P2P) based networks have several desirable features for content distribution, such as low costs, scalability, and fault tolerance. However, they fail to provide guarantees for content delivery. In order to combine the desired features of classical Content ...
2008 IEEE/OES US/EU-Baltic International Symposium
The Gulf of Mexico hydrates research consortium has been designing a sea-floor observatory to mon... more The Gulf of Mexico hydrates research consortium has been designing a sea-floor observatory to monitor natural gas hydrates in the gulf of Mexico for almost ten years. The observatory will consist of seismo-acoustic receiving arrays, geochemical arrays in the lower water column and upper sediments as well as systems for observing microbial activity. Mississippi Canyon Lease Block 118 (MC118) in
Sleep apnea is a serious and severely under-diagnosed sleep-related respiration disorder characte... more Sleep apnea is a serious and severely under-diagnosed sleep-related respiration disorder characterized by repeated disrupted breathing events during sleep. It is diagnosed via polysomnography which is an expensive test conducted in a sleep lab requiring sleep experts to manually score the recorded data. Since the symptoms of sleep apnea are often ambiguous, it is difficult for a physician to decide whether to prescribe polysomnography. In this study, we investigate whether helpful information can be obtained by collecting and automatically analysing sleep data using a smartphone and an inexpensive strain gauge respiration belt. We evaluate how accurately we can detect sleep apnea with wide variety of machine learning techniques with data from a clinical study with 49 overnight sleep recordings. With less than one hour of training, we can distinguish between normal and apneic minutes with an accuracy, sensitivity, and specificity of 0.7609, 0.7833, and 0.7217, respectively. These res...
The presented data model is a novel approach for integrating temporal concepts into a multimedia ... more The presented data model is a novel approach for integrating temporal concepts into a multimedia database system. Multimedia objects are extended with the traditional time dimensions valid time and transaction time. In addition a new time dimension specifically tailored for multimedia data types is presented with semantics that are completely orthogonal to the already established time dimensions, valid time and transaction time, i.e., the model supports a 3D time for multimedia data. This new time dimension, the play time dimension, places the building blocks of multimedia data in a temporal structure for multimedia presentation. This model is currently being implemented in a MMDBS for distance education at UNIK, University of Oslo.
Driven by the goal to enable sleep apnea monitoring and machine learning-based detection at home ... more Driven by the goal to enable sleep apnea monitoring and machine learning-based detection at home with small mobile devices, we investigate whether interpretation-based indirect knowledge transfer can be used to create classifiers with acceptable performance. Interpretation-based indirect knowledge transfer means that a classifier (student) learns from a synthetic dataset based on the knowledge representation from an already trained Deep Network (teacher). We use activation maximization to generate visualizations and create a synthetic dataset to train the student classifier. This approach has the advantage that student classifiers can be trained without access to the original training data. With experiments we investigate the feasibility of interpretation-based indirect knowledge transfer and its limitations. The student achieves an accuracy of 97.8% on MNIST (teacher accuracy: 99.3%) with a similar smaller architecture to that of the teacher. The student classifier achieves an accu...
The Arctic Beans project is investigating the area of “Configurable and Reconfigurable Enterprise... more The Arctic Beans project is investigating the area of “Configurable and Reconfigurable Enterprise Component Architectures” . The general aim of this research is to develop more open and flexible middleware technologies, focusing on enterprise (or server-side) component architecture (such as Enterprise JavaBeans or the CORBA Component Model). The great benefit of such technologies is that they encourage re-use of components developed by third-party suppliers, and also manage distribution implicitly through the concept of a container. This works well for a significant number of application domains. However, there is increasing evidence that there are problems with this approach as the technology is applied in other areas (e.g. in mobile computing). The reason for this is that enterprise component architectures tend to enforce a certain style of distribution management in terms of, for example, the approach to persistence, security, and transactions, or the general model of interaction...
Internet services like the world-wide web and applications like News-on-Demand have become very p... more Internet services like the world-wide web and applications like News-on-Demand have become very popular over the last years. The number of users, as well as the amount of multimedia data downloaded by each user from servers in the Internet, is rapidly increasing. In this context, the potentially (very) high number of concurrent users that retrieve data from servers represents a generic problem. In the Intermediate Storage Node Concept (INSTANCE) project, we develop a radically new architecture for Media-on-Demand servers that maximizes the number of concurrent clients a single server can support. Traditional bottlenecks, like copy operations, multiple copies of the same data element in main memory, and checksum calculations in communication protocols are avoided by applying three orthogonal techniques: zero-copy-one-copy memory architecture, integrated error management, and network level framing. In this paper, we describe the design of the network level framing concept, which enabl...
Journal of Ambient Intelligence and Humanized Computing
IoT-based systems for early epidemic detection have not been investigated yet in the research. Th... more IoT-based systems for early epidemic detection have not been investigated yet in the research. The state-of-the art in sensor technology and activity recognition makes it possible to automatically detect activities of daily living (ADL). Semantic reasoning over ADLs can discover anomalies and symptoms for disorders, hence diseases and epidemics. However, semantic reasoning is computationally rather expensive and therefore unusable for real-time monitoring in large scale applications, like early epidemic detection. To overcome this limitation, this paper proposes a new scalable semantic framework based on several semantic reasoning techniques that are distributed over a semantic middleware. To reduce the number of events to process during the semantic reasoning, a complex event processing (CEP) engine is used to detect abnormal events in ADL and to generate the associated symptom indicators. To demonstrate real-time detection and scalability, the proposed framework integrates a new extension of ADLSim, a discrete event simulator that simulates long-term sequences of ADL.
Mobile Ad-Hoc Networks maintain information in the routing table about reachable nodes. In emerge... more Mobile Ad-Hoc Networks maintain information in the routing table about reachable nodes. In emergency and rescue operations, human groups play an important role. This is visible at the network level as independent network partitions which are for some time stable before their members change through merging or partitioning. We use the information from stable routing tables to optimize the synchronization
Proceedings of the 12th International Conference on Telecommunications, 2013
ABSTRACT The dynamically changing set of multimedia capable devices in the vicinity of a user can... more ABSTRACT The dynamically changing set of multimedia capable devices in the vicinity of a user can be leveraged to create new ways of experiencing multimedia applications through migrating parts of running multimedia applications to the most suited devices. This paper addresses one of the core challenges of application migration, i.e., migration of transport protocol state that is maintained by the endpoints of established connections. Our solution fulfills the stringent temporal requirements of multimedia applications and enables migratable applications to interact with legacy applications, e.g., a migratable video player together with YouTube. The core idea of our solution, called SOCKMAN, is to provide a middleware service to hide that proxy-based forwarding is used to migrate connection endpoints, i.e. sockets, and to maintain an end-to-end perspective for the applications. The evaluation of the SOCKMAN implementation shows that SOCKMAN meets multimedia application requirements, preserves transport protocol state, and performs well on low-end devices, like mobile phones.
The trends over the recent years show an increase in stream- ing media transported across the Int... more The trends over the recent years show an increase in stream- ing media transported across the Internet in addition to al- ready abundant web traffic, increasing the need for distri- bution schemes that efficiently handle this type of traffic. There are two obvious bottlenecks in any content distribu- tion system, namely the origin server and the network. Our goal is
Proceedings of the 8th International Conference on Telecommunications, 2005. ConTEL 2005., 2005
Summary form only given. A new class of data-intensive applications, such as sensor networks, net... more Summary form only given. A new class of data-intensive applications, such as sensor networks, network traffic analysis, financial tickers, Web or telecommunications transaction log analysis, has become widely recognized. These applications require support for on-line analysis of rapidly changing data streams. However, traditional database management systems (DBMS) have no pre-defined notion of time and cannot handle data on-line (i.e., in
Abstract Peer-to-peer (P2P) based networks have several desirable features for content distributi... more Abstract Peer-to-peer (P2P) based networks have several desirable features for content distribution, such as low costs, scalability, and fault tolerance. However, they fail to provide guarantees for content delivery. In order to combine the desired features of classical Content ...
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