Discuss Charging-Discharging and Sale Technology of the Electric Vehicle

Yong, Yang; Ding, Xiao; Zhu, Jin Da

doi:10.4028/www.scientific.net/amr.347-353.3908

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…Convert the image signals of the collected dot on the proof to digital signals by microscopic amplifier system and photoelectric conversion device. Next, obtain dot microscopic image after digital image processing by computer [5][6][7]. Because of the influences of light path, camera and other objective conditions, the obtained image quality is too low to extract accurate image information when collect microscopic dot image.…”

Section: Reproduction Of Dot Micro-morphologymentioning

confidence: 99%

Analysis of Dot Micro-Morphology for Image Replication Quality Evaluation

Wang

Qiu

et al. 2015

AMM

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Dot is the smallest structural unit of image printing. Micro-characteristic of each printing dot such as spreading area, dot shape and three-dimensional shape which are formed on the surface of substrates affect the image replication quality directly. It is significant to accurately extract and analyze dot microstructure in the process of image transfer for evaluating the quality of image replication .Different shapes of printing dots from the standard offset proof are extracted through microscopic test system. The optimal threshold segmentation algorithm was determined by experiment which gets accurate microscopic quantitative value of the dot, the obtained two-dimensional and three-dimensional shape of printing dot became the basis to evaluate the quality of image replication. The between-cluster variance method is used for dot image segmentation. The research was carried on to track image edge after image threshold and to extract the characteristic parameters to accurately characterize the two-dimensional shape, thus characterizing the image replication quality of dot plane form accordingly; on the basis of collected dot two-dimensional data, the experiment was conducted to combine with gray value differences of single dot caused from ink accumulation within its shape areas. Besides, dot density contour and three-dimensional data were quantized by programming in order to restore three-dimensional shape of printing dot on the surface of substrates quantitatively and intuitively. It shows that quality of dot micro-morphology is the fundamental guarantee of image replication quality. The changes of dot shape, area as well as three-dimensional shape in the process of image replication affect the printing quality. Extraction and analysis dot microstructure can detect dot replication quality intuitively which becomes new method to evaluate image replication quality.

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Section: Reproduction Of Dot Micro-morphologymentioning

confidence: 99%

Analysis of Dot Micro-Morphology for Image Replication Quality Evaluation

Wang

Qiu

et al. 2015

AMM

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“…In the literature, battery swapping is often mentioned as a way to get rid of the charging time [17,19]. But practically speaking, few working implementations exist.…”

Section: Prior Workmentioning

confidence: 99%

Towards Long-Term Collective Experiments

Vaussard

Rétornaz

Roelofsen

et al. 2013

Advances in Intelligent Systems and Computing

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It is often challenging to manage the battery supply when dealing with a fleet of mobile robots during long experiments. If one uses classical recharge stations, then agents are immobilized during the whole recharge process. In this study, we present a novel approach that employs a battery pack swapping station. Batteries are charged in a rotating barrel, and the robots dock only for the time of the hot-swap process. We attained an unavailability time of only 40 seconds, with a success rate of 100 % on a total of 46 trials. Experiments above 8 hours are performed in three arenas with different configurations, which proves the relevance of our approach.

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Discuss Charging-Discharging and Sale Technology of the Electric Vehicle

Cited by 2 publications

References 1 publication

Analysis of Dot Micro-Morphology for Image Replication Quality Evaluation

Analysis of Dot Micro-Morphology for Image Replication Quality Evaluation

Towards Long-Term Collective Experiments

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