Evidence map›Paper›PMID 39000932›Full record

ArticleSensors (Basel, Switzerland)2024

A Surface Acoustic Wave-Based PM 1.0 Fine Dust Detection System Using Full Digital Time-Interleaved Counters.

Chang-Hyeon Kim, Ki-Hoon Yang, Yeon-Seob Song, Sang-Sun Yoo, Younggun Pu, Il-Hwan Kim, Seok-Whan Chung, Kwang-Wook Choi, Jun-Eun Park, Kang-Yoon Lee

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Chang-Hyeon KimDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.ORCID 0009-0005-5691-2951
Ki-Hoon YangDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Yeon-Seob SongDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.ORCID 0009-0004-5284-0279
Sang-Sun YooDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Younggun PuDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Il-Hwan KimSamsung Advanced Institute of Technology, Suwon 16706, Republic of Korea.
Seok-Whan ChungSamsung Advanced Institute of Technology, Suwon 16706, Republic of Korea.
Kwang-Wook ChoiSamsung Advanced Institute of Technology, Suwon 16706, Republic of Korea.
Jun-Eun ParkDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.ORCID 0000-0001-6345-7903
Kang-Yoon LeeDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.

Funding

National Research Foundation (NRF) No. 2020M3H2A1076786
6 · The paper itself

Abstract

This paper proposed a fine dust detection system using time-interleaved counters in which surface acoustic wave (SAW) sensors changed the resonance point characteristic. When fine dust was applied to the SAW sensor, the resonance point decreased. The SAW oscillator made of the SAW sensor and radio frequency (RF) amplifier generated an oscillation frequency that was the same as the resonance frequency. The oscillation frequency was transferred to digital data by a 20-bit asynchronous counter. This system has two channels: a sensing channel and a reference channel. Each channel has a SAW oscillator and a 20-bit asynchronous counter. The difference of the two channel counter results is the frequency difference. Through this, it is possible to know whether fine dust adheres to the SAW sensor. The proposed circuit achieved 0.95 ppm frequency resolution when it was operated at a frequency of 460 MHz. This circuit was implemented in a TSMC 130 nm CMOS process.

Indexed as

oscillatorRF amplifiersaw sensorthe mass of fine dusttime-interleaved

Identifiers

PMID39000932
PMCPMC11244120

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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.