Sökning: "Beräkningskomplexitet"

Visar resultat 1 - 5 av 31 uppsatser innehållade ordet Beräkningskomplexitet.

  1. 1. Data Classification System Based on Combination Optimized Decision Tree : A Study on Missing Data Handling, Rough Set Reduction, and FAVC Set Integration

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Xuechun Lu; [2023]
    Nyckelord :Missing data handling; Rough set reduction; FAVC Set; ID3; Saknade datahantering; Rough set reducering; FAVC Set; ID3;

    Sammanfattning : Data classification is a novel data analysis technique that involves extracting valuable information with potential utility from databases. It has found extensive applications in various domains, including finance, insurance, government, education, transportation, and defense. LÄS MER

  3. 2. Short-horizon Prediction of Indoor Temperature using Low-Order Thermal Networks : A case study of thermal models for heat-system control applications

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jonas Cederberg; [2023]
    Nyckelord :Lumped Parameter Thermal Network; Resistance-Capacitance model; Parameter estimation; Modelling of Dynamical Systems; Thermal modelling; Temperature Prediction; Termiskt nätverk med klumpade parametrar; Mostånds-kapacitans modell; Parameterestimering; Modellering av dynamiska system; Termisk modellering; Temperaturprediktion.;

    Sammanfattning : Optimizing and controlling the heating systems in buildings is one way to decrease their load on the power grid, as well as introduce load flexibility to be used in Demand Response (DR) applications. A requirement in occupied buildings is that the thermal comfort of the residents is guaranteed, making the optimization of heating systems a constrained problem with respect to indoor temperature. LÄS MER

  4. 3. ESPRIT for DOA estimation

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Filip Grimsholm; Martin Saarmann; [2023]
    Nyckelord :ESPRIT; FMCW; DOA; radar; estimation; comparison; ESPRIT; FMCW; DOA; radar; estimering; jämförelse;

    Sammanfattning : Radar is a tool that has had a tremendous impact since its discovery. This thesis evaluates an algorithm called ESPRIT. ESPRIT is used in radar to estimate the angles to detected objects. The angle of an object is referred to as its DOA (Direction of arrival). LÄS MER

  5. 4. A Travelling Wave Slot Array based on a Double-Layer Lens for 77 GHz Automotive Radar

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ashray Ugle; [2023]
    Nyckelord :Automotive radar; Double-layer lens; Gap waveguide technology; Waveguide slot; Antenna array; Lens-beamforming.; Bilradar; Dubbelskiktslins; Gap-vågledarteknik; Waveguide-kortplats; Antennuppsättning; Lens-beamforming.;

    Sammanfattning : Automotive radars have gained considerable interest in recent years for applications of road safety for vulnerable road users. The use of multipleinput and multiple-output (MIMO) technology in automotive radar has helped in realising a virtual aperture greater than the physical aperture of the antenna which has reduced the size of the overall radar module. LÄS MER

  7. 5. Clustering of Unevenly Spaced Mixed Data Time Series

    Master-uppsats, KTH/Matematisk statistik

    Författare :Pierre Sinander; Asik Ahmed; [2023]
    Nyckelord :mixed data time series; unevenly spaced time series; clustering; dynamic time warping; Gower dissimilarity; time warping regularisation; numeriska och kategoriska tidsserier; ojämnt fördelade tidsserier; kluster analys; dynamic time warping; Gower dissimilaritet; regularisering av tidsförvränging;

    Sammanfattning : This thesis explores the feasibility of clustering mixed data and unevenly spaced time series for customer segmentation. The proposed method implements the Gower dissimilarity as the local distance function in dynamic time warping to calculate dissimilarities between mixed data time series. LÄS MER