Sensor networks : 9th international conference, SENSORNETS 2020, Valletta, Malta, February 28-29, 2020, and 10th international conference, SENSORNETS 2021, virtual event, February 9-10, 2021, revised selected papers / / edited by Andreas Ahrens [and three others]

• Pubblicazione: Cham, Switzerland : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (164 pages)
• Disciplina: 004.6
• Soggetto topico: Computer networks; Sensor networks
• Persona (resp. second.): AhrensAndreas
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Anomaly Detection in Beehives: An Algorithm Comparison -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 3.1 Würzburg and Bad Schwartau -- 3.2 Jelgava -- 3.3 Markt Indersdorf -- 4 Methods -- 4.1 (Recurrent) Autoencoder -- 4.2 Local Outlier Factor -- 4.3 Isolation Forest -- 4.4 Elliptic Envelope -- 4.5 One-Class SVM -- 5 Experimental Setup -- 6 Results -- 6.1 Univariate -- 6.2 Multivariate -- 6.3 Methodology -- 7 Analysis -- 8 Conclusion/Future Work -- References -- Evaluation of a CDM Interrogation Scheme Allowing Spectrally Overlapping FBG Sensors -- 1 Introduction -- 2 Theory of CDM Interrogation and Testbed Implementation -- 3 Trigger Schemes for the CDM Interrogator and Their Influence on Autocorrelation Functions -- 3.1 Trigger Schemes -- 3.2 Influence of Integration Time and Truncated Codes -- 3.3 Influence of Leading Trigger Delays -- 3.4 Influence of Non-ideal Modulation Coefficients -- 4 Theoretical Limit of a CDM Interrogation System -- 5 SNR Comparison of CDM and WDM -- 6 Hybrid CDM-WDM -- 7 Conclusion -- References -- Strength Exercise Monitoring with Inertial Sensors -- 1 Introduction -- 2 Related Work -- 2.1 SPRING -- 3 Proposed Method -- 3.1 Motion Primitive Detection -- 3.2 Feature Extraction -- 3.3 Identification -- 4 Experimental Results -- 4.1 Identification with SPRING -- 4.2 Identification with ISPRING -- 4.3 Identification with NSPRING -- 4.4 Identification with DNRTPM -- 4.5 Identification with the Proposed Method -- 4.6 Performance Comparison -- 5 Conclusion -- References -- Improved Wake-Up Receiver Architectures with Carrier Sense Capabilities for Low-Power Wireless Communication -- 1 Introduction -- 2 Related Work -- 3 Theoretical Analysis -- 3.1 Envelope Detector's Diode Calculation -- 3.2 Envelope Detector Architecture -- 3.3 Impedance Matching Circuit. ; 3.4 RF Band-Pass Filter -- 3.5 LF Amplifier -- 3.6 Comparator Circuit -- 4 Experimental Analysis -- 4.1 Impedance Matching -- 4.2 Envelope Detector -- 4.3 Comparator Performance Test -- 4.4 LF Amplifier Test -- 5 Proposed Circuits -- 5.1 Carrier Sensing Circuits -- 5.2 Low Frequency Correlator -- 6 Discussion -- 6.1 Further Work -- 6.2 Usability as a Wake-Up Receiver -- 6.3 Conclusion -- References -- Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results -- 1 Introduction -- 2 MEMS Accelerometers for Seismology -- 3 The Network-Enabled Seismic Sensor System -- 3.1 Noise Performance Comparison -- 4 Deployment and Trials -- 4.1 Event 1: Magnitude 3.4 (ML) Recorded 18-March-2021 at 9 h 51 (Local Time) -- 4.2 Event 2: Magnitude 2.5 (ML) Recorded 24-March-2021 at 14 h 30 (Local Time) -- 4.3 Findings -- 5 Conclusion and Future Work -- References -- Acquisition of EFS and Capacitive Measurement Data on Low-Power and Connected IoT Devices -- 1 Introduction -- 2 Related Work -- 3 The Linoc Toolkit -- 3.1 Design Goals -- 3.2 Hardware -- 3.3 Firmware -- 4 Evaluation -- 4.1 Usability -- 4.2 Performance -- 4.3 Demonstration -- 5 Conclusion -- A Questionaire -- References -- Performance Evaluation of Embedded Time Series Indexes Using Bitmaps, Partitioning, and Trees -- 1 Introduction -- 2 Background -- 2.1 Embedded Devices -- 2.2 Flash Indexing -- 2.3 Embedded Indexing -- 3 Theoretical Performance Analysis -- 4 Experimental Results -- 4.1 Insert Performance -- 4.2 Timestamp Query Performance -- 4.3 Data Query Performance -- 4.4 Results Discussion -- 5 Conclusions and Future Work -- References -- Author Index.
• Titolo autorizzato: Sensor Networks
• ISBN: 3-031-17718-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910616206903321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science