نتایج جستجو برای: whip appliance
تعداد نتایج: 5907 فیلتر نتایج به سال:
OBJECTIVE To investigate by behavioral methods the relationship between emotional stress and pain during experimental tooth movement in rats. MATERIALS AND METHODS Sixteen male Sprague-Dawley rats (210 to 250 g) were divided into two groups. The experimental group was treated with an active Ti-Ni appliance, and the control group received a passive appliance. A force of 20 gf was delivered by ...
In this work, we propose a Realistic Scheduling Mechanism (RSM) to reduce user frustration and enhance appliance utility by classifying appliances with respective constraints and their time of use effectively. Algorithms are proposed regarding functioning of home appliances. A 24 hour time slot is divided into four logical sub-time slots, each composed of 360 min or 6 h. In these sub-time slots...
OBJECTIVE The aim of this study was to cephalometrically assess the skeletal and dentoalveolar effects of Class II malocclusion treatment performed with the Jones Jig appliance followed by fixed appliances. METHODS The sample comprised 25 patients with Class II malocclusion treated with the Jones Jig appliance followed by fixed appliances, at a mean initial age of 12.90 years old. The mean ti...
Several peak load management strategies are being widely employed in the residential sector, due to increased energy consumption and peak demand. The residential peak demand is very prominent and largely depends on the interaction between occupant’s energy consumption behaviour and appliance usage, hence the need to address end-use appliance usage based on consumer utilization pattern. This pap...
Appliance-level Load Monitoring (ALM) is essential not only to optimize energy utilization but also to promote energy awareness amongst consumers through real-time feedback mechanisms. Non-intrusive load monitoring is an attractive method to perform ALM that allows tracking of appliance states within the aggregated power measurements. It makes use of generative and discriminative machine learni...
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