FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2605169162> ?p ?o ?g. }

• W2605169162 abstract "Wireless Body Sensor Network (WBSN) is a promising technology that can be used in a lot of application domains from health care to Human Machine Interface (HMI). The BoWI project ambition is to evaluate and design a WBSN that can be used in various applications with daily usage and accessible to the public. This necessitates to design a ultra-low power node that reach a day of use without discomfort for the user. The elected solution is to design a node that operates with the power budget similar to what can be provided by the state of the art of the energy harvesting. An Application Specific Integrated Circuit (ASIC) solution is privileged in order to meet the integration and low power constraints. Designing the dedicated architecture required a preliminary study at several level which are: a state of the art of the energy harvesting in order to determine the objective of energy/power budget of our system, A study of the usage of the system to determine and select typical application cases. A study of the algorithms to address the selected applications while considering the implementation viability of the solutions. The power budget objective is set to 100µW. The application selected are the posture recognition, the gesture recognition and the motion capture. The algorithmic solution proposed are a data-fusion based on an Extended Kalman FIlter (EKF) with the addition of a classification using Principal Component Analysis (PCA). The implementation tool used to design the architecture is an High Level Synthesis (HLS) solution. Implementation results mainly focus on the EKF since this is by far the most power consuming digital part of the system. Using a 28nm technology the power budget objective can be reached for the algorithmic part. A study of the top level management of all components of the node is done in order to estimate performances of the system in real application case. This is possible using an activity detection which dynamically estimates the computing load required and then save a maximum of energy while the node is still." @default.
• W2605169162 created "2017-04-14" @default.
• W2605169162 creator A5082698940 @default.
• W2605169162 date "2016-12-01" @default.
• W2605169162 modified "2023-09-27" @default.
• W2605169162 title "Architecture of Ultra Low Power Node for Body Area Network" @default.
• W2605169162 hasPublicationYear "2016" @default.
• W2605169162 type Work @default.
• W2605169162 sameAs 2605169162 @default.
• W2605169162 citedByCount "0" @default.
• W2605169162 crossrefType "dissertation" @default.
• W2605169162 hasAuthorship W2605169162A5082698940 @default.
• W2605169162 hasConcept C121332964 @default.
• W2605169162 hasConcept C127413603 @default.
• W2605169162 hasConcept C149635348 @default.
• W2605169162 hasConcept C149768029 @default.
• W2605169162 hasConcept C163258240 @default.
• W2605169162 hasConcept C41008148 @default.
• W2605169162 hasConcept C62520636 @default.
• W2605169162 hasConcept C62611344 @default.
• W2605169162 hasConcept C66938386 @default.
• W2605169162 hasConcept C79403827 @default.
• W2605169162 hasConcept C89227174 @default.
• W2605169162 hasConceptScore W2605169162C121332964 @default.
• W2605169162 hasConceptScore W2605169162C127413603 @default.
• W2605169162 hasConceptScore W2605169162C149635348 @default.
• W2605169162 hasConceptScore W2605169162C149768029 @default.
• W2605169162 hasConceptScore W2605169162C163258240 @default.
• W2605169162 hasConceptScore W2605169162C41008148 @default.
• W2605169162 hasConceptScore W2605169162C62520636 @default.
• W2605169162 hasConceptScore W2605169162C62611344 @default.
• W2605169162 hasConceptScore W2605169162C66938386 @default.
• W2605169162 hasConceptScore W2605169162C79403827 @default.
• W2605169162 hasConceptScore W2605169162C89227174 @default.
• W2605169162 hasLocation W26051691621 @default.
• W2605169162 hasOpenAccess W2605169162 @default.
• W2605169162 hasPrimaryLocation W26051691621 @default.
• W2605169162 hasRelatedWork W1113963 @default.
• W2605169162 hasRelatedWork W1550202551 @default.
• W2605169162 hasRelatedWork W2124197530 @default.
• W2605169162 hasRelatedWork W2144170715 @default.
• W2605169162 hasRelatedWork W2158510719 @default.
• W2605169162 hasRelatedWork W2189075480 @default.
• W2605169162 hasRelatedWork W2204846071 @default.
• W2605169162 hasRelatedWork W2352672405 @default.
• W2605169162 hasRelatedWork W2613558135 @default.
• W2605169162 hasRelatedWork W2739239587 @default.
• W2605169162 hasRelatedWork W2811177570 @default.
• W2605169162 hasRelatedWork W2906748114 @default.
• W2605169162 hasRelatedWork W2943922388 @default.
• W2605169162 hasRelatedWork W2978439358 @default.
• W2605169162 hasRelatedWork W3006140707 @default.
• W2605169162 hasRelatedWork W3137823554 @default.
• W2605169162 hasRelatedWork W63069167 @default.
• W2605169162 hasRelatedWork W95278313 @default.
• W2605169162 hasRelatedWork W2128271209 @default.
• W2605169162 hasRelatedWork W2184106201 @default.
• W2605169162 isParatext "false" @default.
• W2605169162 isRetracted "false" @default.
• W2605169162 magId "2605169162" @default.
• W2605169162 workType "dissertation" @default.