FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2969397317> ?p ?o ?g. }

• W2969397317 abstract "With the increased population in the big cities, Internet of Things (IoT) devices to be used as automated monitoring systems are required in many of the Smart city’s applications. Monitoring road infrastructure such as a manhole cover (MC) is one of these applications. Automating monitoring manhole cover structure has become more demanding, especially when the number of MC failure increases rapidly: it affects the safety, security and the economy of the society. Only 30% of the current MC monitoring systems are automated with short lifetime in comparison to the lifetime of the MC, without monitoring all the MC issues and without discussing the challenges of the design from IoT device design point of view. Extending the lifetime of a fully automated IoT-based MC monitoring system from circuit design point of view was studied and addressed in this research. The main circuit that consumes more power in the IoT-based MC monitoring system is the analogue to digital converter (ADC) found at the data acquisition module (DAQ).In several applications, the compressive sensing (CS) technique proved its capability to reduce the power consumption for ADC. In this research, CS has been investigated and studied deeply to reach the aim of the research. CS based ADC is named analogue to information converter (AIC). Because the heart of the AIC is the pseudorandom number generator (PRNG), several researchers have used it as a key to secure the data, which makes AIC more suitable for IoT device design. Most of these PRNG designs for AIC are hardware implemented in the digital circuit design. The presence of digital PRNG at the AIC analogue front end requires: a) isolating digital and analogue parts, and b) using two different power supplies and grounds for analogue and digital parts. On the other hand, analogue circuit design becomes more demanding for the sake of the power consumption, especially after merging the analogue circuit design with other fields such as neural networks and neuroscience.This has motivated the researcher to propose two low-power analogue chaotic oscillators to replace digital PRNG using opamp Schmitt Trigger. The proposed systems are based on a coupling oscillator concept. The design of the proposed systems is based on: First, two new modifications for the well-known astable multivibrator using opamp Schmitt trigger. Second, the waveshaping design technique is presented to design analogue chaotic oscillators instead of starting with complex differential equations as it is the case for most of the chaotic oscillator designs. This technique helps to find easy steps and understanding of building analogue chaotic oscillators for electronic circuit designers.The proposed systems used off the shelf components as a proof of concept. The proposed systems were validated based on: a) the range of the temperature found beneath a manhole cover, and b) the signal reconstruction under the presence and the absence of noise.The results show decent performance of the proposed system from the power consumption point of view, as it can exceed the lifetime of similar two opamps based Jerk chaotic oscillators by almost one year for long lifetime applications such as monitoring MC using Li-Ion battery. Furthermore, in comparison to PRNG output sequence generated by a software algorithm used in AIC framework in the presence of the noise, the first proposed system output sequence improved the signal reconstruction by 6.94%, while the second system improved the signal reconstruction by 17.83%" @default.
• W2969397317 created "2019-08-29" @default.
• W2969397317 creator A5084690087 @default.
• W2969397317 date "2019-03-01" @default.
• W2969397317 modified "2023-09-24" @default.
• W2969397317 title "Low power IoT based automated manhole cover monitoring system as a smart city application" @default.
• W2969397317 hasPublicationYear "2019" @default.
• W2969397317 type Work @default.
• W2969397317 sameAs 2969397317 @default.
• W2969397317 citedByCount "0" @default.
• W2969397317 crossrefType "dissertation" @default.
• W2969397317 hasAuthorship W2969397317A5084690087 @default.
• W2969397317 hasConcept C111919701 @default.
• W2969397317 hasConcept C119599485 @default.
• W2969397317 hasConcept C127413603 @default.
• W2969397317 hasConcept C144024400 @default.
• W2969397317 hasConcept C149635348 @default.
• W2969397317 hasConcept C149923435 @default.
• W2969397317 hasConcept C163985040 @default.
• W2969397317 hasConcept C165801399 @default.
• W2969397317 hasConcept C2777271169 @default.
• W2969397317 hasConcept C2780428219 @default.
• W2969397317 hasConcept C2908647359 @default.
• W2969397317 hasConcept C41008148 @default.
• W2969397317 hasConcept C78519656 @default.
• W2969397317 hasConcept C79403827 @default.
• W2969397317 hasConcept C81860439 @default.
• W2969397317 hasConcept C9390403 @default.
• W2969397317 hasConceptScore W2969397317C111919701 @default.
• W2969397317 hasConceptScore W2969397317C119599485 @default.
• W2969397317 hasConceptScore W2969397317C127413603 @default.
• W2969397317 hasConceptScore W2969397317C144024400 @default.
• W2969397317 hasConceptScore W2969397317C149635348 @default.
• W2969397317 hasConceptScore W2969397317C149923435 @default.
• W2969397317 hasConceptScore W2969397317C163985040 @default.
• W2969397317 hasConceptScore W2969397317C165801399 @default.
• W2969397317 hasConceptScore W2969397317C2777271169 @default.
• W2969397317 hasConceptScore W2969397317C2780428219 @default.
• W2969397317 hasConceptScore W2969397317C2908647359 @default.
• W2969397317 hasConceptScore W2969397317C41008148 @default.
• W2969397317 hasConceptScore W2969397317C78519656 @default.
• W2969397317 hasConceptScore W2969397317C79403827 @default.
• W2969397317 hasConceptScore W2969397317C81860439 @default.
• W2969397317 hasConceptScore W2969397317C9390403 @default.
• W2969397317 hasLocation W29693973171 @default.
• W2969397317 hasOpenAccess W2969397317 @default.
• W2969397317 hasPrimaryLocation W29693973171 @default.
• W2969397317 hasRelatedWork W129524478 @default.
• W2969397317 hasRelatedWork W1586655576 @default.
• W2969397317 hasRelatedWork W1969186017 @default.
• W2969397317 hasRelatedWork W2095888268 @default.
• W2969397317 hasRelatedWork W2185920937 @default.
• W2969397317 hasRelatedWork W2268391291 @default.
• W2969397317 hasRelatedWork W242777974 @default.
• W2969397317 hasRelatedWork W2469577161 @default.
• W2969397317 hasRelatedWork W2492117013 @default.
• W2969397317 hasRelatedWork W2523325677 @default.
• W2969397317 hasRelatedWork W2571620072 @default.
• W2969397317 hasRelatedWork W2736550269 @default.
• W2969397317 hasRelatedWork W296085745 @default.
• W2969397317 hasRelatedWork W587573691 @default.
• W2969397317 hasRelatedWork W635388469 @default.
• W2969397317 hasRelatedWork W119748548 @default.
• W2969397317 hasRelatedWork W2184713239 @default.
• W2969397317 hasRelatedWork W2521917371 @default.
• W2969397317 hasRelatedWork W2741364326 @default.
• W2969397317 hasRelatedWork W2771062617 @default.
• W2969397317 isParatext "false" @default.
• W2969397317 isRetracted "false" @default.
• W2969397317 magId "2969397317" @default.
• W2969397317 workType "dissertation" @default.