Minimizing Capacity Degradation of Heterogeneous Batteries in a Mobile Embedded System

Kwak, Jaeheon; Lee, Jinkyu

doi:10.1109/les.2019.2929069

Cited by 7 publications

(1 citation statement)

References 14 publications

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“…In this way, the entire development can be completed in front of a computer, which improves development efficiency. nfs is used to enable the development board to access and run cross-compiled executable programs without programming, avoiding the slow programming process [18]. The third step is to use the ARM integrated development environment to complete on the windows platform by establishing a unit project.…”

Section: Basketball Moving Test Methods Based Onmentioning

confidence: 99%

Application of Embedded Intelligent Target Detection System in Basketball Movement Test

Zhang

2022

Wireless Communications and Mobile Computing

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With the development of society, basketball has been deeply loved by people all over the world. Meanwhile, basketball has become one of the most watched events in the world. In order to adapt to the development of basketball and make people better understand the laws of basketball, this paper aims to study the application of embedded intelligent object detection system in basketball sports test and use the embedded intelligent object detection system to separate basketball sports. Compared with the general computer processing system, the embedded system has great differences. It cannot realize the large-capacity storage function because there is no matching large-capacity medium. Strengthen the learning of basketball theoretical knowledge through learning rules. Firstly, the research background of basketball and the research significance of moving target detection are introduced, and the embedded Linus operating system is introduced, including hardware design and software design. Then, four moving target detection algorithms are proposed. Object detection, also called object extraction, is an image segmentation based on the geometric and statistical features of objects, and its accuracy and real-time performance are an important capability of the entire system. Experiments show that when using the YCrCb domain detection algorithm, the average time-consuming is 292 ms, and the conversion frame rate is about 3.5fps. The YCrCb domain detection algorithm has good detection effect and high efficiency.

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Section: Basketball Moving Test Methods Based Onmentioning

confidence: 99%

Application of Embedded Intelligent Target Detection System in Basketball Movement Test

Zhang

2022

Wireless Communications and Mobile Computing

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RETRACTED: Application of artificial intelligence technology and embedded digital image in interior design

Zhu

2021

Microprocessors and Microsystems

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RETRACTED: Preoperative evaluation of tavi for aortic stenosis based on embedded system and dual-source CT large-pitch scanning

Liu

Bai³

et al. 2021

Microprocessors and Microsystems

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Minimizing Capacity Degradation of Heterogeneous Batteries in a Mobile Embedded System

Cited by 7 publications

References 14 publications

Application of Embedded Intelligent Target Detection System in Basketball Movement Test

Application of Embedded Intelligent Target Detection System in Basketball Movement Test

RETRACTED: Application of artificial intelligence technology and embedded digital image in interior design

RETRACTED: Preoperative evaluation of tavi for aortic stenosis based on embedded system and dual-source CT large-pitch scanning

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