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- 검색키워드
- 저자 : Mohamed Ben Amor (검색결과 2 건)
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A Multi Levels Data Fusion Approach for an Electric Wheelchair Control
Fatma Ben Taher,Nader Ben Amor,Mohamed Jallouli,Aicha Ben Hammouda,Olfa Dghim 대한의용생체공학회 2016 Biomedical Engineering Letters (BMEL) Vol.6 No.4
Purpose Assistive technology has allowed providing valuableassistance to people with special needs. Several studies havetargeted “smart” wheelchairs. However, these prototypes arenot yet commercialized, mainly for security reasons. Theobjective of this study is to ameliorate the control successrate and fulfill maximally the security constraint. Methods In this paper, we present a multi-levels data fusiontechnique. Three subsystems operate separately to find thenavigation command. These subsystems are based respectivelyon EEG signals, head position tracking and eye tracking. Their individual decisions are then fused to deliver the finalcommand to the wheelchair. Results The proposed technique achieves was able to reacha success rate equal to 94.4%. This rate represents animprovement of 7% compared to single source controltechniques. Conclusions The results of this study demonstrate the abilityof data fusion to improve the success rate and to avoidcritical situations such as total breakdown in case of sensorfailure.
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Fluoride removal from diluted solutions by Donnan dialysis using full factorial design
Ali Boubakri,Nawel Helali,Mohamed Tlili,Mohamed Ben Amor 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.3
Excessive fluoride concentration in potable water can lead to fluorosis of teeth and bones. In the presentstudy, Donnan dialysis (DD) is applied for the removal of fluoride ions from diluted sodium fluoride solutions. A fourfactor two level (24) full factorial design was used to investigate the influence of different physico-chemical parameterson fluoride removal efficiency (YF) and fluoride flux (JF) through anion exchange membrane. The statistical designdetermines factors which have the important effects on Donnan dialysis performance and studies all interactions amongthe considered parameters. The four significant factors were initial fluoride concentration, feed flow rate, temperatureand agitation speed. The experimental results and statistical analysis show that the temperature and agitation speedhave positive effects on fluoride removal efficiency and the initial fluoride concentration has a negative effect. In thecase of fluoride flux, feed flow rate and initial concentration are the main effect and all factors have a positive effect. The interaction between studied parameters was not negligible on two responses. A maximum fluoride removal of 75.52%was obtained under optimum conditions and the highest value of fluoride flux obtained was 2.4 mg/cm2·h. Empiricalregression models were also obtained and used to predict the flux and the fluoride removal profiles with satisfactoryresults.
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