Results 21 to 30 of about 2,999,661 (334)

Capacitor-Less Low-Dropout (LDO) Regulator With 99.99% Current Efficiency Using Active Feedforward and Reverse Nested Miller Compensations

open access: yesIEEE Access, 2019
In this paper, an output capacitor-less low-dropout (LDO) regulator with 99.99% current efficiency using active feedforward compensation (AFFC) and reverse nested Miller compensation (RNMC) is implemented.
Gwang Sub Kim   +3 more
doaj   +1 more source

A secure and efficient range query method for two‐layer wireless sensor networks

open access: yesIET Cyber-Physical Systems, 2022
Traditional range query methods of work still have shortcomings in node energy consumption and privacy security, so a two‐layer secure and efficient range query method for wireless sensor networks is proposed.
Yun Deng, Yanping Kang
doaj   +1 more source

CitiusSynapse: A Deep Learning Framework for Embedded Systems

open access: yesApplied Sciences, 2021
As embedded systems, such as smartphones with limited resources, have become increasingly popular, active research has recently been conducted on performing on-device deep learning in such systems.
Seungtae Hong, Hyunwoo Cho, Jeong-Si Kim
doaj   +1 more source

Managing Elders’ Wandering Behavior Using Sensors-based Solutions: A Survey

open access: yesInternational Journal of Gerontology, 2014
Wandering is one of the most frequent, problematic, and injurious behaviors of elderly people with dementia. It often leads to negative consequences such as falling and getting lost.
Qiang Lin   +4 more
doaj   +1 more source

Identifying lncRNA–disease association based on GAT multiple-operator aggregation and inductive matrix completion

open access: yesFrontiers in Genetics, 2022
Computable models as a fundamental candidate for traditional biological experiments have been applied in inferring lncRNA–disease association (LDA) for many years, without time-consuming and laborious limitations. However, sparsity inherently existing in
Yi Zhang   +8 more
doaj   +1 more source

Sensitivity-based multistep MPC for embedded systems [PDF]

open access: yes, 2015
In model predictive control (MPC), an optimization problem is solved every sampling instant to determine an optimal control for a physical system. We aim to accelerate this procedure for fast systems applications and address the challenge of implementing
Kerrigan, EC, Palma, V, Suardi, A
core   +1 more source

Locating and Controlling Unsound Transitions in Workflow Systems Based on Workflow Net With Data Constraints

open access: yesIEEE Access, 2018
Data has a great influence on the analysis of the correctness of workflow systems. How to ensure that a system runs without data errors is very important.
Yaqiong He   +4 more
doaj   +1 more source

Urban Traffic Data Imputation With Detrending and Tensor Decomposition

open access: yesIEEE Access, 2020
Due to various uncontrollable factors (such as random faulty acquisition equipment and data distortion), urban traffic flow data inevitably suffers from some form of data loss.
Chuanfei Gong, Yaying Zhang
doaj   +1 more source

Towards PageRank Update in a Streaming Graph by Incremental Random Walk

open access: yesIEEE Access, 2022
As the internet and the Internet of Things (IoT) have been widely applied in many application fields, a large number of graphs are continuously produced and change over time, which leads to difficulties in graph analysis and utilization.
Zhipeng Sun, Guosun Zeng, Chunling Ding
doaj   +1 more source

Efficient Simulation of Structural Faults for the Reliability Evaluation at System-Level [PDF]

open access: yes, 2010
In recent technology nodes, reliability is considered a part of the standard design ¿ow at all levels of embedded system design. While techniques that use only low-level models at gate- and register transfer-level offer high accuracy, they are too ...
Baranowski, R.   +7 more
core   +2 more sources

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