Internet-of-Things-Based Multiple-Sensor Monitoring System for Soil Information Diagnosis Using a Smartphone DOI Creative Commons
Yin Wu, Zenan Yang, Wenbo Liu

et al.

Micromachines, Journal Year: 2023, Volume and Issue: 14(7), P. 1395 - 1395

Published: July 8, 2023

The rise of Internet Things (IoT) technology has moved the digital world in a new direction and is considered third wave information industry. To meet current growing demand for food, agricultural industry should adopt updated technologies smart agriculture based on IoT which will strongly enable farmers to reduce waste increase productivity. This research presents novel system application soil measurements, consists multiple sensors (temperature moisture), micro-processor, microcomputer, cloud platform, mobile phone application. wireless can collect transmit real time with high speed, while app uses platform as monitoring center. A low power consumption specified hardware software, modular supply time-saving algorithm are adopted improve energy effectiveness nodes. Meanwhile, prediction strategy was explored deep Q network (DQN) reinforcement learning algorithm. Following weighted combination bidirectional long short-term memory, online sequential extreme machine, parallel machine learning, DQN Bi-OS-P model obtained. proposed data acquisition achieved long-term stable reliable collection time-series equal intervals provided an accurate dataset precise diagnosis information. RMSE, MAE, MAPE were all reduced, R2 improved by 0.1% when compared other methods. successfully implemented experimentally showed that error between value displayed its exact moment no more than 3 s, proving applications be effectively used real-time quality conditions multi-sensing Things.

Language: Английский

An ultra-tough and ultra-sensitive ionogel pressure/temperature sensor enabled by hierarchical design of both materials and devices DOI
Zong‐Ju Chen, Yuqiong Sun, Xiong Xiao

et al.

Journal of Materials Chemistry A, Journal Year: 2023, Volume and Issue: 11(15), P. 8359 - 8367

Published: Jan. 1, 2023

Flexible sensors based on ionogels show great potential in wearable devices because of their compliance and deformability.

Language: Английский

Citations

29
Recent Progress of the Vat Photopolymerization Technique in Tissue Engineering: A Brief Review of Mechanisms, Methods, Materials, and Applications DOI Open Access
Ying Li, Xueqin Zhang, Xin Zhang

et al.

Polymers, Journal Year: 2023, Volume and Issue: 15(19), P. 3940 - 3940

Published: Sept. 29, 2023

Vat photopolymerization (VP), including stereolithography (SLA), digital light processing (DLP), and volumetric printing, employs UV or visible to solidify cell-laden photoactive bioresin contained within a vat in point-by-point, layer-by-layer, manner. VP-based bioprinting has garnered substantial attention both academia industry due its unprecedented control over printing resolution accuracy, as well rapid speed. It holds tremendous potential for the fabrication of tissue- organ-like structures field regenerative medicine. This review summarizes recent progress VP fields tissue engineering First, it introduces mechanism photopolymerization, followed by an explanation technique commonly used biomaterials. Furthermore, application was discussed. Finally, challenges facing are discussed, future trends projected.

Language: Английский

Citations

27
Photoswitchable and Reversible Fluorescent Eutectogels for Conformal Information Encryption DOI
Changchun Li, Jize Liu, Xiaoyan Qiu

et al.

Angewandte Chemie, Journal Year: 2023, Volume and Issue: 135(46)

Published: Oct. 4, 2023

Abstract Smart fluorescent materials that can respond to environmental stimuli are of great importance in the fields information encryption and anti‐counterfeiting. However, traditional usually face problems such as lack tunable fluorescence insufficient surface‐adaptive adhesion, hindering their practical applications. Herein, inspired by glowing sucker octopus, we present a novel strategy fabricate reversible eutectogel with high transparency, adhesive self‐healing performance for conformal Using anthracene luminescent unit, exhibits photoswitchable therefore be reversibly written/erased patterns non‐contact stimulation. Additionally, different from mechanically irreversible adhesion via glue, adhere various irregular substrates over wide temperature range (−20 65 °C) conformally deform more than 1000 times without peeling off. Furthermore, exploiting transparency good stretchability eutectogel, dual achieved under UV stretching conditions further improve security level. This study should provide promising future development advanced intelligent anti‐counterfeiting materials.

Language: Английский

Citations

27
A Highly Transparent, Underwater Self-Healing, Self-Adhesive, and Recyclable Supramolecular Eutectogel for Liquid Metal Encapsulation DOI

Hongtian Zhang,

Yongke Hu, Zhulan Liu

et al.

ACS Materials Letters, Journal Year: 2023, Volume and Issue: 5(10), P. 2621 - 2628

Published: Aug. 28, 2023

One-step preparation of supramolecular eutectogels (SEGs) with water resistance, transparency, underwater self-healing, self-adhesion, and full recyclability using a simple green process is intriguing but also challenging. Here, novel SEG prepared by in situ ring-opening polymerization thioctic acid (TA) polymerizable hydrophobic deep eutectic solvent (DES). Further depolymerization poly(TA) achieved synergistic interaction between the monomer DES components, resulting exhibiting highly optical extreme stretchability, recyclability. Moreover, multiple dynamic interactions enable self-healing self-adhesive processes to be easily realized even underwater. Given these comprehensive capabilities, SEGs are used as external encapsulation layers for liquid metals prepare stretchable composite wires electromyographic signal monitoring. The methodology provides new route recyclable integrated electronic components adhesives.

Language: Английский

Citations

26
Internet-of-Things-Based Multiple-Sensor Monitoring System for Soil Information Diagnosis Using a Smartphone DOI Creative Commons
Yin Wu, Zenan Yang, Wenbo Liu

et al.

Micromachines, Journal Year: 2023, Volume and Issue: 14(7), P. 1395 - 1395

Published: July 8, 2023

The rise of Internet Things (IoT) technology has moved the digital world in a new direction and is considered third wave information industry. To meet current growing demand for food, agricultural industry should adopt updated technologies smart agriculture based on IoT which will strongly enable farmers to reduce waste increase productivity. This research presents novel system application soil measurements, consists multiple sensors (temperature moisture), micro-processor, microcomputer, cloud platform, mobile phone application. wireless can collect transmit real time with high speed, while app uses platform as monitoring center. A low power consumption specified hardware software, modular supply time-saving algorithm are adopted improve energy effectiveness nodes. Meanwhile, prediction strategy was explored deep Q network (DQN) reinforcement learning algorithm. Following weighted combination bidirectional long short-term memory, online sequential extreme machine, parallel machine learning, DQN Bi-OS-P model obtained. proposed data acquisition achieved long-term stable reliable collection time-series equal intervals provided an accurate dataset precise diagnosis information. RMSE, MAE, MAPE were all reduced, R2 improved by 0.1% when compared other methods. successfully implemented experimentally showed that error between value displayed its exact moment no more than 3 s, proving applications be effectively used real-time quality conditions multi-sensing Things.

Language: Английский

Citations

23