Evidence map›Paper›PMID 37870202›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Passive Internet of Events Enabled by Broadly Compatible Self-Powered Visualized Platform Toward Real-Time Surveillance.

Chaojie Chen, Haoran Zhang, Guoqiang Xu, Tingting Hou, Jingjing Fu, Haoyu Wang, Xin Xia, Cheng Yang, Yunlong Zi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chaojie ChenDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong Shatin, N.T. Hong Kong, Hong Kong, China.
Haoran ZhangThrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, Guangdong, 511400, China.
Guoqiang XuDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong Shatin, N.T. Hong Kong, Hong Kong, China.
Tingting HouDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong Shatin, N.T. Hong Kong, Hong Kong, China.
Jingjing FuDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong Shatin, N.T. Hong Kong, Hong Kong, China.
Haoyu WangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong Shatin, N.T. Hong Kong, Hong Kong, China.
Xin XiaDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong Shatin, N.T. Hong Kong, Hong Kong, China.
Cheng YangInstitute of Materials Research, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, P. R. China.
Yunlong ZiDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong Shatin, N.T. Hong Kong, Hong Kong, China.ORCID 0000-0002-5133-4057

Funding

Guangdong Basic and Applied Basic Research Foundation 2020A1515110887Guangdong Natural Science Funds for Distinguished Young Scholar 2023B1515020074Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone HZQB-KCZYB-2020083Hong Kong University of Science and Technology (Guangzhou) G0101000092National Natural Science Foundation of China 52275560Research Grants Council General Research Funds 14200120Shenzhen Technical Projects GJHZ20210705143000002Shenzhen Technical Projects JSGG20191129110201725
6 · The paper itself

Abstract

Surveillance is an intricate challenge worldwide especially in those complicated environments such as nuclear plants, banks, crowded areas, barns, etc. Deploying self-powered wireless sensor nodes can increase the system's event detection capabilities by collecting environmental changes, while the incompatibility among components (energy harvesters, sensors, and wireless modules) limits their application. Here, a broadly compatible self-powered visualized platform (SPVP) is reported to construct a passive internet of events (IoE) network for surveillance systems. By encoding electric signals into reference and working LEDs, SPVP can visualize resistance change generated by commercial resistive sensors with a broad working range (<10

Indexed as

InternetLightpassive IoEself-powered visualized platformsurveillancetriboelectric nanogeneratorswireless sensing

Identifiers

PMID37870202
PMCPMC10700247

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.