scholarly journals FPGA Curved Track Fitter With Very Low Resource Usage

2006 ◽  
Author(s):  
Jinyuan Wu ◽  
M. Wang ◽  
E. Gottschalk ◽  
Z. Shi
Keyword(s):  
Resource Usage ◽  
Low Resource ◽  
Curved Track

scholarly journals Less Data Same Information for Event-Based Sensors: A Bioinspired Filtering and Data Reduction Algorithm

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4122 ◽  
Author(s):  
Juan Barrios-Avilés ◽  
Alfredo Rosado-Muñoz ◽  
Leandro Medus ◽  
Manuel Bataller-Mompeán ◽  
Juan Guerrero-Martínez
Keyword(s):  
Data Reduction ◽  
Similarity Index ◽  
Relevant Information ◽  
Detection Algorithm ◽  
Resource Usage ◽  
Event Data ◽  
Filter Parameter ◽  
Low Resource ◽  
Time Operation ◽  
Event Based

Sensors provide data which need to be processed after acquisition to remove noise and extract relevant information. When the sensor is a network node and acquired data are to be transmitted to other nodes (e.g., through Ethernet), the amount of generated data from multiple nodes can overload the communication channel. The reduction of generated data implies the possibility of lower hardware requirements and less power consumption for the hardware devices. This work proposes a filtering algorithm (LDSI—Less Data Same Information) which reduces the generated data from event-based sensors without loss of relevant information. It is a bioinspired filter, i.e., event data are processed using a structure resembling biological neuronal information processing. The filter is fully configurable, from a “transparent mode” to a very restrictive mode. Based on an analysis of configuration parameters, three main configurations are given: weak, medium and restrictive. Using data from a DVS event camera, results for a similarity detection algorithm show that event data can be reduced up to 30% while maintaining the same similarity index when compared to unfiltered data. Data reduction can reach 85% with a penalty of 15% in similarity index compared to the original data. An object tracking algorithm was also used to compare results of the proposed filter with other existing filter. The LDSI filter provides less error ( 4 . 86 ± 1 . 87 ) when compared to the background activity filter ( 5 . 01 ± 1 . 93 ). The algorithm was tested under a PC using pre-recorded datasets, and its FPGA implementation was also carried out. A Xilinx Virtex6 FPGA received data from a 128 × 128 DVS camera, applied the LDSI algorithm, created a AER dataflow and sent the data to the PC for data analysis and visualization. The FPGA could run at 177 MHz clock speed with a low resource usage (671 LUT and 40 Block RAM for the whole system), showing real time operation capabilities and very low resource usage. The results show that, using an adequate filter parameter tuning, the relevant information from the scene is kept while fewer events are generated (i.e., fewer generated data).

Diagnosis of neonatal sepsis in low resource settings: C-reactive protein or procalcitonin?

2016 ◽  
Vol 03 (02) ◽  
pp. 079-083
Author(s):  
Lawrence Mbuagbaw ◽  
Francisca Monebenimp ◽  
Bolaji Obadeyi ◽  
Grace Bissohong ◽  
Marie-Thérèse Obama ◽  
...  
Keyword(s):  
Neonatal Sepsis ◽  
C Reactive Protein ◽  
Low Resource Settings ◽  
Low Resource ◽  
Reactive Protein

Ties to the outside: An exploration of faculty interactions with external organizations

2018 ◽  
Vol 4 (1) ◽  
pp. 295-313 ◽  
Author(s):  
Karley A Riffe
Keyword(s):  
Study Design ◽  
Financial Constraints ◽  
Academic Discipline ◽  
Faculty Members ◽  
Faculty Work ◽  
Case Study Design ◽  
Low Resource ◽  
Faculty Interactions ◽  
Embedded Case Study

Faculty work now includes market-like behaviors that create research, teaching, and service opportunities. This study employs an embedded case study design to evaluate the extent to which faculty members interact with external organizations to mitigate financial constraints and how those relationships vary by academic discipline. The findings show a similar number of ties among faculty members in high- and low-resource disciplines, reciprocity between faculty members and external organizations, and an expanded conceptualization of faculty work.

Evaluation of a New Protocol of Insulin Dose Adjustment in a Low-Resource Setting

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 93-LB
Author(s):  
EDDY JEAN BAPTISTE ◽  
PHILIPPE LARCO ◽  
MARIE-NANCY CHARLES LARCO ◽  
JULIA E. VON OETTINGEN ◽  
EDDLYS DUBOIS ◽  
...  
Keyword(s):  
Dose Adjustment ◽  
Insulin Dose ◽  
Low Resource ◽  
Resource Setting ◽  
Low Resource Setting
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