Now showing items 1-11 of 11

    • A Software System for the Discovery of Situations Involving Drivers in Storms 

      Stocker, Markus; Kauhanen, Okko; Hiirsalmi, Mikko; Saarela, Janne; Rossi, Pekka; Rönkkö, Mauno; Hytönen, Harri; Kotovirta, Ville; Kolehmainen, Mikko (Springer Nature, 2015)
      We present an environmental software system that obtains, integrates, and reasons over situational knowledge about natural phenomena and human activity. We focus on storms and driver directions. Radar data for rainfall ...

    • Acquisition and Representation of Knowledge for Atmospheric New Particle Formation 

      Stocker, Markus; Baranizadeh, Elham; Hamed, Amar; Rönkkö, Mauno; Virtanen, Annele; Laaksonen, Ari; Portin, Harri; Komppula, Mika; Kolehmainen, Mikko (Springer Nature, 2013)
      Sensors are used in environmental science to monitor an increasingly large multitude of properties of real world phenomena. An important scientific aim of such monitoring is more accurate and more complete understanding ...

    • Detection and Classification of Vehicles by Measurement of Road-Pavement Vibration and by Means of Supervised Machine Learning 

      Stocker, Markus; Silvonen Paula; Rönkkö, Mauno; Kolehmainen, Mikko (Taylor and Francis, 2016)
      Road vehicle detection and, to a lesser extent, classification have received considerable attention, in particular for the purpose of traffic monitoring by transportation authorities. A multitude of sensors and systems ...

    • Evolutionary methods for variable selection in the epidemiological modeling of cardiovascular diseases 

      Brester, Christina; Kauhanen, Jussi; Tuomainen, Tomi-Pekka; Voutilainen, Sari; Rönkkö, Mauno, Ronkainen, Kimmo; Semenkin, Eugene; Kolehmainen, Mikko (Springer Nature America, Inc, 2018)
      Background The redundancy of information is becoming a critical issue for epidemiologists. High-dimensional datasets require new effective variable selection methods to be developed. This study implements an advanced ...
      Tieteelliset aikakauslehtiartikkelit

    • Knowledge-based environmental research infrastructure: moving beyond data 

      Stocker, Markus; Rönkkö, Mauno; Kolehmainen, Mikko (Springer Nature, 2015)
      Over the past decades, sensor networks have been deployed around the world to monitor over time and space a large number of properties appertaining to various environmental phenomena. A popular example is the monitoring ...

    • Making Sense of Sensor Data Using Ontology: A Discussion for Residential Building Monitoring 

      Stocker, Markus; Rönkkö, Mauno; Kolehmainen, Mikko (Springer Nature, 2012)
      We illustrate the application of automated representation of knowledge acquired from sensor network data to quality of life services. Specifically, for a sensor network used to monitor a residential building we acquire ...

    • On island model performance for cooperative real-valued multi-objective genetic algorithms 

      Brester, Christina; Ryzhikov, Ivan; Semenkin, Eugene; Kolehmainen, Mikko (Springer International Publishing, 2018)
      Solving a multi-objective optimization problem results in a Pareto front approximation, and it differs from single-objective optimization, requiring specific search strategies. These strategies, mostly fitness assignment, ...
      Artikkelit ja abstraktit tieteellisissä konferenssijulkaisuissa

    • Provenance in Systems for Situation Awareness in Environmental Monitoring 

      Stocker, Markus; Rönkkö, Mauno; Kolehmainen, Mikko (Springer Nature, 2015)
      As environmental monitoring systems increasingly automate the collection and processing of environmental sensor network data, the technical components of such systems can automatically obtain and maintain higher levels of ...

    • Representing Situational Knowledge Acquired from Sensor Data for Atmospheric Phenomena 

      Stocker, Markus; Baranizadeh, Elham; Portin, Harri; Komppula, Mika; Rönkkö, Mauno; Hamed, Amar; Virtanen, Annele; Lehtinen, Kari; Laaksonen, Ari; Kolehmainen, Mikko (Elsevier, 2014)
      A recurrent problem in applications that build on environmental sensor networks is that of sensor data organization and interpretation. Organization focuses on, for instance, resolving the syntactic and semantic heterogeneity ...

    • Situational Knowledge Representation for Traffic Observed by a Pavement Vibration Sensor Network 

      Stocker, Markus; Rönkkö, Mauno; Kolehmainen, Mikko (IEEE, 2014)
      Information systems that build on sensor networks often process data produced by measuring physical properties. These data can serve in the acquisition of knowledge for real-world situations that are of interest to information ...

    • The Relevance of Measurement Data in Environmental Ontology Learning 

      Stocker, Markus; Rönkkö, Mauno; Villa, Ferdinando; Kolehmainen, Mikko (Springer Nature, 2011)
      Ontology has become increasingly important to software systems. The aim of ontology learning is to ease one of the major problems in ontology engineering, i.e. the cost of ontology construction. Much of the effort within ...