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Design Automation for Embedded Systems最新文献

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A hardware/software partitioning method based on graph convolution network 基于图卷积网络的硬件/软件划分方法
IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Design Automation for Embedded Systems
Pub Date : 2021-10-30 DOI: 10.1007/s10617-021-09255-9
Xin Zheng, Shouzhi Liang, Xiaoming Xiong
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引用次数: 0
Simplified introduction of power intent into a register-transfer level model 简化了在寄存器传输级别模型中引入功率意图
IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Design Automation for Embedded Systems
Pub Date : 2021-08-15 DOI: 10.1007/s10617-021-09254-w
M. Groma, Dominik Macko
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引用次数: 0
Candidate architectures for emerging IoV: a survey and comparative study 新兴IoV的候选架构：调查和比较研究
IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Design Automation for Embedded Systems
Pub Date : 2021-08-12 DOI: 10.1007/s10617-021-09249-7
Yamina Hichri, Soumaya Dahi, H. Fathallah
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引用次数: 2
Adaptive run-time scheduling of dependent services for service-oriented IoT systems 面向服务的物联网系统中依赖服务的自适应运行时调度
IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Design Automation for Embedded Systems
Pub Date : 2021-07-07 DOI: 10.1007/s10617-021-09253-x
Jangryul Kim, KangKyu Park, Hoeseok Yang, S. Ha
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引用次数: 4
SRCP: sharing and reuse-aware replacement policy for the partitioned cache in multicore systems SRCP:多核系统中分区缓存的共享和重用感知替换策略
IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Design Automation for Embedded Systems
Pub Date : 2021-06-12 DOI: 10.1007/s10617-021-09251-z
S. Ghosh, Lava Bhargava, V. Sahula
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引用次数: 4
An embedded FPGA-SoC framework and its usage in moving object tracking application 一种嵌入式FPGA-SoC框架及其在运动目标跟踪中的应用
IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Design Automation for Embedded Systems
Pub Date : 2021-06-11 DOI: 10.1007/s10617-021-09252-y
J. Pandey
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引用次数: 1
Special issue with selected papers from 2019 Brazilian Symposium on Computer Engineering (SBESC 2019) 2019年巴西计算机工程研讨会(SBESC 2019)论文精选特刊
IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Design Automation for Embedded Systems
Pub Date : 2021-05-29 DOI: 10.1007/s10617-021-09250-0
Ivan Muller, M. Götz
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引用次数: 0
CAD synthesis tools for floating-gate SoC FPAAs 浮栅SoC FPAAs的CAD合成工具
IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Design Automation for Embedded Systems
Pub Date : 2021-03-22 DOI: 10.1007/s10617-021-09247-9
Sihwan Kim, Sahil S. Shah, Richard B. Wunderlich, J. Hasler
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引用次数: 3
Simulation is essential for embedded control systems with task jitter 对于具有任务抖动的嵌入式控制系统，仿真是必不可少的
IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Design Automation for Embedded Systems
Pub Date : 2021-03-22 DOI: 10.1007/s10617-021-09248-8
L. Tran, P. Radcliffe, Liuping Wang
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引用次数: 0
Revisiting the battery level indicator of mobile devices 重新审视移动设备的电池电量指示器
IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Design Automation for Embedded Systems
Pub Date : 2021-02-18 DOI: 10.1007/s10617-021-09246-w
Seunghyeok Jeon, Daeyong Kim, Junick Ahn, Rhan Ha, Hojung Cha

Mobile device users tend to extend the device’s usage time by checking the battery level frequently via the battery level indicator (BLI) and adjusting their device usage patterns. This behavior is based on the assumption that the BLI is accurate. In this paper, we define four requirements that a user would expect for the BLI and define BLI anomalies that violate these requirements. We found various kinds of BLI anomalies in commercial smartphones. The key cause of a BLI anomaly is that the battery state changes dynamically depending on various factors, yet the existing BLI system is limited in delivering the battery status adequately. To address this problem, we propose a new BLI that defines the battery capacity as active, spare, and dead. The experiment results for the commercial smartphones show that with the proposed BLI system, BLI anomalies are removed, and accurate battery information is delivered to users.

移动设备用户倾向于通过电池电量指示器(BLI)频繁检查电池电量，并调整设备使用模式，从而延长设备的使用时间。这种行为是基于BLI是准确的假设。在本文中，我们定义了用户对BLI期望的四个需求，并定义了违反这些需求的BLI异常。我们在商用智能手机中发现了各种各样的BLI异常。造成BLI异常的关键原因是电池状态随各种因素而动态变化，而现有的BLI系统在充分传递电池状态方面存在一定的局限性。为了解决这个问题，我们提出了一种新的BLI，它将电池容量定义为活动、备用和无电。商用智能手机的实验结果表明，本文提出的BLI系统可以去除BLI异常，并将准确的电池信息传递给用户。
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引用次数: 1
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