Now showing items 141-160 of 583

    • Connectivity of underwater cognitive acoustic networks under spectrum constraint 

      Wang, Qiu; Dai, Hong-Ning; Wang, Hao; Wang, Qubeijian (Chapter, 2018)
      There is an extensive attention on underwater cognitive acoustic networks (UCANs) since acoustic spectrum becomes deficient owning to the proliferation of human activity in ocean. This paper presents an overview of our ...
    • SecureIoT: Hop-Count Based Service-Oriented Efficient Security Solution for IoT 

      Kar, Pushpendu; Misra, Sudip; Mandal, Ankush Kumar; Wang, Hao (Chapter, 2018)
      Internet of Things (IoT) is a network of physical devices which are accessible through the Internet. All the devices are assigned with an IP address and are competent enough to collect data and provide some services. The ...
    • A Feature Preprocessing Framework of Remote Sensing Image for Marine Targets Recognition 

      Chen, Qiong; Huang, Mengxing; Wang, Hao; Zhang, Yu; Feng, Wenlong; Wang, Xianpeng; Wu, Di; Bhatti, Uzair Aslam (Chapter, 2018)
      The effective extraction of continuous features of marine remote sensing image is the key to the processing of marine target recognition. Since many of the existing data mining algorithms can only deal with discrete ...
    • Data Kollektivet 

      Valde, Frank Even; Lie, Kristoffer (Bachelor thesis, 2018)
      I Norge bor det i gjennomsnitt 2 personer per hushold. Det gjør at veldig mange må forholde seg til andre mennesker når det kommer til oppgaver og gjøremål i hjemmet. For å hjelpe med denne problemstillingen ville vi ...
    • A Tensor Model for Quality Analysis in Industrial Drinking Water Supply System 

      Wu, Di; Wang, Hao; Seidu, Razak (Chapter, 2019)
      Drinking Water Supply (DWS) is one of the most critical and sensitive systems to maintain city operations globally. In Europe, the contradiction between the fast growth of population and obsolete urban water supply ...
    • Modell asynkronmotor 

      Boonkrong, Singharat; Lervik, Håvard; Nordvik, Ola Edvard; Vadset, Tomas Skaar (Bachelor thesis, 2019)
      Formålet med denne oppgaven var å utvikle en modell for en asynkronmotor. Denne modellen skal gjøre det mulig for STADT AS å gjøre simuleringer for motorer, slik at de blant annet kan se hvor store startstrømmene vil bli ...
    • Ontology changes-driven semantic refinement of cross-language biomedical ontology alignments 

      Destro, Juliana Medeiros; dos Reis, Julio Cesar; Torres, Ricardo Da Silva; Ricarte, Ivan (Peer reviewed; Journal article, 2019)
      Biomedical computational systems benefits from the use of ontologies. However, interconnectivity between these systems is a challenge, specially when the ontologies supporting each system are described in different natural ...
    • Learning cost function for graph classification with open-set methods 

      Werneck, Rafael de Oliveira; Raveaux, Romain; Tabbone, Salvatore; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2019)
      In several pattern recognition problems, effective graph matching is of paramount importance. In this paper, we introduce a novel framework to learn discriminative cost functions. These cost functions are embedded into a ...
    • Prediktivt vedlikehold 

      Drønnen, Rasmus.; Natland, Stian.; Rekdal, Andreas. (Bachelor thesis, 2019)
      I denne rapporten beskrives mulighetene for å bruke PdM (Predictive maintenance) som system for å oppdage feil på transportører produsert av Optimar AS. Formålet har vært både å finne feil før noe går galt samt avklare ...
    • Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals 

      Razak, Imran; Hameed, Ibrahim A.; Xu, Guandong (Journal article; Peer reviewed, 2019)
      Background: EEG signals are extremely complex in comparison to other biomedical signals, thus require an efficient feature selection as well as classification approach. Traditional feature extraction and classification ...
    • Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine 

      Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak (Peer reviewed; Journal article, 2019)
      This study presents the development of artificial neural network (ANN) and support vector machine (SVM) classification models for predicting the safety conditions of water in distribution pipes. The study was based on 504 ...
    • EVOCROS: Results for OAEI 2019 

      Destro, Juliana Medeiros; Vargas, Javier A; dos Reis, Julio Cesar; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2019)
      This paper describes the updates in EVOCROS, a crosslingual ontology alignment system suited to create mappings between ontologies described in different natural language. Our tool combines syntactic and semantic similarity ...
    • Applicability of a Digital Road Network Model Created with OpenStreetMap Data 

      Cubedo, Antonio Johansen (Master thesis, 2019)
      Simuleringer av verdensekte analogier er nyttig når en undersøker og forsker på et systems oppførsel under belastning, eller når justeringer av de innebærende faktorene i det verdensekte systemet ikke lar seg gjøre ...
    • Detecting Road Surface Distress using Deep Learning 

      Gustafsson, Eirik Gribbestad; Steinnes, Ole-Martin Hagen; Løken, Sivert (Bachelor thesis, 2019)
      Ifølge Statistisk Sentralbyrå finnes det totalt sett 54 899 km fylkes- og riksveier som Statens vegvesen er ansvarlig for å vedlikeholde. Dette er en kostbar og tidkrevende oppgave. Hvert år blir kamerabiler sendt ut for ...
    • Lyskolonne 

      Kjerstad,Johann; Sandøy, Simon (Bachelor thesis, 2019)
      Vard Electro AS er en av verdens største selskaper innenfor spesialiserte fartøy. Med sin maritime kompetanse tilbyr de høyteknologiske teknologiske løsninger. Blant annet installerer de alarmsystemer. Disse er bygget som ...
    • Integration of Aquaculture Inspection Platform 

      Morken, Ole; Sætre, Lars Even; Liavaag, Sigurd Olav (Bachelor thesis, 2019)
      Denne oppgaven handler om integrering av tre tidligere utviklede systemer, en plattform, en vinsj og en ROV. Målet med dette prosjektet er å vise funksjonaliteten til systemet som en enhet. Platformen kan transportere ROV ...
    • Detection and Classification of Moving Vehicle From Video Using Multiple Spatio-Temporal Features 

      Wang, Yu; Ban, Xiaojuan; Wang, Huan; Wu, Di; Wang, Hao; Yang, Shouqing; Liu, Sinuo; Lai, Jinhui (Journal article; Peer reviewed, 2019)
      The information acquisition and automatic processing technology based on visual surveillance sensors in intelligent transportation system (ITS) has become an important application field of computer vision technology. The ...
    • Visual error detection on 3D printing 

      Tomas Paulsen (Bachelor thesis, 2019)
      3D-skriving har blitt meir tilgjengeleg for forbrukarar på grunn av auke av rimelege FDMskrivarar i marknaden. Prosessen med 3D-skriving er ikkje nødvendigvis utan feil. Dei fleste av forbrukarskrivarane har ikkje nokon ...
    • A Language and Platform Independent Co-Simulation Framework Based on the Functional Mock-Up Interface 

      Hatledal, Lars Ivar; Styve, Arne; Hovland, Geir; Zhang, Houxiang (Journal article; Peer reviewed, 2019)
      The main goal of the Functional Mock-up Interface (FMI) standard is to allow the sharing of simulation models across tools. To accomplish this, FMI relies on a combination of XML-files and compiled C-code packaged in a zip ...
    • ONSITE Project report: Design-driven field studies for safer demanding marine operations 

      Gernez, Etienne; Nordby, Kjetil; Schaathun, Hans Georg (Research report, 2019)
      ONSITE is a research project that builds knowledge on how to implement human-centred design processes within ship design. The project focuses specifically on a field study methodology and the transfer of knowledge between ...