Sökning: "peak performance"

Visar resultat 11 - 15 av 356 uppsatser innehållade orden peak performance.

1. 11. Monitoring deforestation in the Serranía de Chiribiquete in northern Colombian Amazon using time series analysis of satellite data

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Yuyang Qian; [2023]
   Nyckelord :Physical Geography and Ecosystem analysis; CCDC; Forest loss; Landsat; Sentinel-1; Change detection; NNP; FARC; Earth and Environmental Sciences;

   Sammanfattning : Deforestation monitoring is of significant importance for the ecosystem, climate change,and policy-making. The availability of optical and synthetic aperture radar (SAR) satellite remote sensing images, along with the development of time series change detection methods, has contributed to the increasing popularity of time series analysis in forest disturbance monitoring. LÄS MER

3. 12. Digital Front End Algorithms for Sub-Band Full Duplex

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Midhat Rizvi; Khaled Al-Khateeb; [2023]
   Nyckelord :Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

   Sammanfattning : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. LÄS MER

4. 13. Analogue Circuit for Detection of Ageing Phenomena in Electric Drives

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

   Författare :Yudong Lin; [2023]
   Nyckelord :Electric Drives; Ageing Process; Pulse-Width Modulation; Ringing Current; Peak Holder; Analogue Circuits; Elektriska drivsystem; Åldringsprocess; Pulsbreddsmodulering; Ringningar i strömmen; Toppvärdesdetektor; Analog krets;

   Sammanfattning : This master thesis presents an analogue peak holder circuit design aimed at facilitating the non-invasive inspection of the ageing process in electric drives. The ageing process of electric drives is a crucial aspect that demands accurate monitoring to ensure their long-term performance and reliability. LÄS MER

5. 14. Effekter av inspiratorisk muskelträning på andningsfunktion hos personer med kronisk ryggmärgsskada : en pilotstudie

   Magister-uppsats, Linköpings universitet/Institutionen för hälsa, medicin och vård

   Författare :Eva Härkegård; [2023]
   Nyckelord :Ryggmärgsskada; inspiratorisk muskelträning; andningsfunktion; kliniska utfallsmått; patientrapporterade utfallsmått;

   Sammanfattning : Bakgrund: Personer med ryggmärgsskada har en minskad styrka i andningsmuskulaturen vilket ökar risken för respiratoriska komplikationer. För att öka styrkan rekommenderas inspiratorisk muskelträning (IMT). LÄS MER

7. 15. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

   Master-uppsats, KTH/Fysik

   Författare :Jeanette Marie Victoria Skeppland Hole; [2023]
   Nyckelord :ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

   Sammanfattning : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). LÄS MER