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Potential of eNose Technology for Monitoring Biological CO_(2) Conversion Processes

Transactions of Tianjin University 2024年第5期30卷 381-394页

作者： Muhammad Awais Syed Muhammad Zaigham Abbas Naqvi Sami Ullah Khan MIjaz Khan Sherzod Abdullaev Junfeng Wu Wei Zhang Jiandong Hu Department of Electrical Engineering Henan Agricultural UniversityZhengzhou 450002China Henan International Joint Laboratory of Laser Technology in Agriculture Sciences Zhengzhou 450002China State Key Laboratory of Wheat and Maize Crop Science Zhengzhou 450002China Department of Mathematics Namal UniversityTalagang RoadMianwali 42250Pakistan Department of Mechanical Engineering Prince Mohammad Bin Fahd University31952 Al-KhobarKingdom of Saudi Arabia Faculty of Chemical Engineering New Uzbekistan UniversityTashkentUzbekistan Scientific and Innovation Department Tashkent State Pedagogical UniversityTashkentUzbekistan

Electronic nose(eNose) is a modern bioelectronic sensor for monitoring biological processes that convert CO_(2) into valueadded products, such as products formed during photosynthesis and microbial fermentation. eNose technology uses an array of sensors to detect and quantify gases, including CO_(2), in the air. This study briefly introduces the concept of eNose technology and potential applications thereof in monitoring CO_(2) conversion processes. It also provides background information on biological CO_(2) conversion processes. Furthermore, the working principles of eNose technology vis-à-vis gas detection are discussed along with its advantages and limitations versus traditional monitoring methods. This study also provides case studies that have used this technology for monitoring biological CO_(2) conversion processes. eNose-predicted measurements were observed to be completely aligned with biological parameters for R~2 values of 0.864, 0.808, 0.802, and 0.948. We test eNose technology in a variety of biological settings, such as algae farms or bioreactors, to determine its effectiveness in monitoring CO_(2) conversion processes. We also explore the potential benefits of employing this technology vis-à-vis monitoring biological CO_(2) conversion processes, such as increased reaction efficiency and reduced costs versus traditional monitoring methods. Moreover, future directions and challenges of using this technology in CO_(2) capture and conversion have been discussed. Overall, we believe this study would contribute to developing new and innovative methods for monitoring biological CO_(2) conversion processes and mitigating climate change.

关键词： Electronic nose(eNose) CO_(2) conversion Biological monitoring Gas detection Bioelectronic nose

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Securing the Future after Pager Bombs:Lifecycle Protection of Smart Devices via Blockchain Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2355-2358页

作者： Fei Lin Qinghua Ni Jing Yang Juanjuan Li Nan Zheng Levente Kovács Radu Prodan Mariagrazia Dotoli Qing-Long Han Fei-Yue Wang the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China the State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the School of Artificial Intelligence University of Chinese Academy of SciencesBei-jing 100049China IEEE Obuda University John von Neumann Faculty of InformaticsBecsi Str.96/bH-1034 BudapestHungary the Institute of Information Technology University of Klagenfurt9020 Klagenfurt am WortherseeAustria the Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly the School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190

THE Lebanese wireless device explosion incident has drawn widespread attention,involving devices such as pagers,walkie-talkies,and other common devices[1].This event has revealed and highlighted the security vulnerabilities in global supply chains from raw material manufacturing and distribution to the usage of devices and equipment,signaling the onset of a new wave of"supply chain warfare"[2].

关键词： Smart cycle chains

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Asymptotic SEP Analysis and Optimization of Linear-Quantized Precoding in Massive MIMO Systems

arXiv

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arXiv 2023年

作者： Wu, Zheyu Ma, Junjie Liu, Ya-Feng Swindlehurst, A. Lee The State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China The Center for Pervasive Communications and Computing University of California IrvineCA92697 United States

A promising approach to deal with the high hardware cost and energy consumption of massive MIMO transmitters is to use low-resolution digital-to-analog converters (DACs) at each antenna element. This leads to a transmission scheme where the transmitted signals are restricted to a finite set of voltage levels. This paper is concerned with the analysis and optimization of a low-cost quantized precoding strategy, referred to as linear-quantized precoding, for a downlink massive MIMO system under Rayleigh fading. In linear-quantized precoding, the signals are first processed by a linear precoding matrix and subsequently quantized component-wise by the DAC. In this paper, we analyze both the signal-to-interference-plus-noise ratio (SINR) and the symbol error probability (SEP) performances of such linear-quantized precoding schemes in an asymptotic framework where the number of transmit antennas and the number of users grow large with a fixed ratio. Our results provide a rigorous justification for the heuristic arguments based on the Bussgang decomposition that are commonly used in prior works. Based on the asymptotic analysis, we further derive the optimal precoder within a class of linear-quantized precoders that includes several popular precoders as special cases. Our numerical results demonstrate the excellent accuracy of the asymptotic analysis for finite systems and the optimality of the derived precoder. Copyright © 2023, The Authors. All rights reserved.

关键词： MIMO systems

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Tailoring lithium concentration in alloy anodes for long cycling and high areal capacity in sulfide-based all solid-state batteries

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eScience 2023年第1期3卷 71-79页

作者： Zaifa Wang Jun Zhao Xuedong Zhang Zhaoyu Rong Yongfu Tang Xinyu Liu Lingyun Zhu Liqiang Zhang Jianyu Huang Clean Nano Energy Center State Key Laboratory of Metastable Materials Science and TechnologyYanshan UniversityQinhuangdao 066004China Key Laboratory of Low Dimensional Materials and Application Technology of Ministry of Education School of Materials Science and EngineeringXiangtan UniversityXiangtanHunan 411105China Guilin Electrical Equipment Scientific Research Institute Co. LtdGuilin541004China Hebei Key Laboratory of Applied Chemistry College of Environmental and Chemical EngineeringYanshan UniversityQinhuangdao066004China School of Materials Science&Engineering Anhui UniversityHefei 230601PR China

Lithium–indium(Li-In)alloys are important anode materials for sulfide-based all-solid-state batteries(ASSBs),but how different Li concentrations in the alloy anodes impact the electrochemical performance of ASSBs remains *** paper systematically investigates the impact that different Li concentrations in Li-In anodes have on the performance of *** show that In with 1 wt%Li(LiIn-1)exhibits the best performance for ASSBs among all the tested Li-In *** essence,LiIn-1 not only provides sufficient Li to compensate for first-cycle capacity loss in the anode but also facilitates the formation of a LiIn alloy phase that has the best charge transfer kinetics among all the Li_(x) In alloy *** ASSB with a LiIn-1 anode and a LiNi_(0.8)Mn_(0.1)Co_(0.1)O_(2) cathode reached 3400 cycles at an initial capacity of 125 mAh/***,ASSBs with a high cathode active material(CAM)loading of 36 mg/cm 2 delivered a high areal capacity of 4.05 mAh/cm^(2) at high current density(4.8 mA/cm^(2)),with a capacity retention of 92% after 740 *** an ultra-high CAM loading of 55.3 mg/cm^(2),the ASSB achieved a stable areal capacity of 8.4 mAh/cm^(2) at current density of 1.7 mA/cm *** results bring us one step closer to the practical application of ASSBs.

关键词： All solid-state batteries Sulfide solid electrolyte Ni-rich cathode Li concentration

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Silicon nitride based Mech-Zehnder thermo-optic switch

Silicon nitride based Mech-Zehnder thermo-optic switch

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2023 Advanced Fiber Laser Conference, AFL 2023

作者： Zhou, Siyang Zhang, Shuojian Guo, Jia Fan, Zhuping Ma, Xiao He, Jian-Jun State Key Laboratory for Modern Optical Instrumentation Zhejiang University Hangzhou China Global Scientific and Technological Innovation Center Zhejiang University Hangzhou China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou China

A 2 × 2 Mech-Zehnder thermo-optic switch based on a 250 nm-thick silicon nitride platform is designed and fabricated. The measured excess on-chip loss is 0.3 dB and the extinction ratio is 31 dB. © COPYRIGHT... 详细信息

ISBN: (纸本)9781510677661

关键词： Silicon nitride

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High-performance fingerprint bionic Ecoflex@AgNW/graphite/Pt hybrid strain sensor

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Journal of Materiomics 2024年第1期10卷 7-16页

作者： Xuyang Zhang Zhengliang Li Cuilan Liu Jiaqi Shan b Xingzhong Guo Xiaoyu Zhao Jianbao Ding Hui Yang State Key Laboratory of Silicon Materials School of Materials Science and EngineeringZhejiang UniversityHangzhou310027China Hangzhou Global Scientific and Technological Innovation Center Zhejiang UniversityHangzhou311200China Zhejiang Hua Display Optoelectronics Co. LtdJiaxing314115China Zhejiang Kechuang Advanced Materials Technology Co. LtdHangzhou310051China

Wearable electronics have promising applications in human-machine interfaces due to their excellent flexibility,stretchability and human friendliness,and one of the key points of wearable electronics is to develop strain sensors with high sensitivity and working ***,a high-performance Eco-flex@AgNW/graphite/Pt hybrid strain sensor was fabricated by suction filtrating,transferring and surface sputtering *** suction filtrating of AgNW and graphite dispersions on a wrinkle-shape Nylon filter,transferring of AgNW/graphite layer onto Ecoflex and further surface sputtering by Pt allow the construction of fingerprint bionic Ecoflex@AgNW/graphite/Pt hybrid strain *** resul-tant fingerprint bionic hybrid strain sensor possesses high sensitivity of 2064.1 at the strain of 140%e155%,a wide working range of 0e155%,a short response time(111 ms and 189 ms for tensile and releasing process)and excellent cyclic stability over 5000 *** study provides a universal tech-nique for the preparation of strain sensors with promising applications in the field of next-generation intelligent wearable electronics.

关键词： Silver nanowire Graphite Strain sensor Ecoflex Sensitivity Working range

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LLMEmbed: Rethinking Lightweight LLM's Genuine Function in Text Classification

arXiv

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arXiv 2024年

作者： Liu, Chun Zhang, Hongguang Zhao, Kainan Ju, Xinghai Yang, Lin Systems Engineering Institute AMS Beijing China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

With the booming of Large Language Models (LLMs), prompt-learning has become a promising method mainly researched in various research areas. Recently, many attempts based on prompt-learning have been made to improve the performance of text classification. However, most of these methods are based on heuristic Chain-of-Thought (CoT), and tend to be more complex but less efficient. In this paper, we rethink the LLM-based text classification methodology, propose a simple and effective transfer learning strategy, namely LLMEmbed, to address this classical but challenging task. To illustrate, we first study how to properly extract and fuse the text embeddings via various lightweight LLMs at different network depths to improve their robustness and discrimination, then adapt such embeddings to train the classifier. We perform extensive experiments on publicly available datasets, and the results show that LLMEmbed achieves strong performance while enjoys low training overhead using lightweight LLM backbones compared to recent methods based on larger LLMs, i.e. GPT-3, and sophisticated prompt-based strategies. Our LLMEmbed achieves adequate accuracy on publicly available benchmarks without any fine-tuning while merely use 4% model parameters, 1.8% electricity consumption and 1.5% runtime compared to its counterparts. Code is available at: https://***/ChunLiu-cs/LLMEmbed-ACL2024. © 2024, CC BY-NC-SA.

关键词： Embeddings

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Metalenses phase characterization by multidistance phase retrieval

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Light(Science & Applications) 2024年第9期13卷 1898-1907页

作者： Bowen Liu Jialuo Cheng Maoxiong Zhao Jin Yao Xiaoyuan Liu Shaohu Chen Lei Shi Din Ping Tsai Zihan Geng Mu Ku Chen State Key Laboratory of Surface Physics Key Laboratory of Micro-and Nano-Photonic Structures(Ministry of Education)and Department of PhysicsFudan University200433 ShanghaiChina Department of Electrical Engineering City University of Hong KongKowloonHong Kong SARChina State Key Laboratory of Terahertz and Millimeter Waves City University of Hong KongKowloonHong Kong SARChina Institute for Nanoelectronic Devices and Quantum Computing Fudan University200438 ShanghaiChina Collaborative Innovation Center of Advanced Microstructures Nanjing University210093 NanjingJiangsuChina Shanghai Research Center for Quantum Sciences 201315 ShanghaiChina Centre for Biosystems Neuroscienceand NanotechnologyCity University of Hong KongKowloonHong Kong SARChina Institute of Data and Information Tsinghua Shenzhen International Graduate SchoolTsinghua University518071 ShenzhenGuangdongChina

Metalens,characterized by their unique functions and distinctive physical properties,have gained significant attention for their potential *** further optimize the performance of metalens,it is necessary to characterize the phase modulation of the *** this study,we present a multi-distance phase retrieval system based on optical field scanning and discuss its convergence and *** findings indicate that the system is capable of retrieving the phase distribution of the metalens as long as the measurement noise is low and the total length of the scanned light field is sufficiently *** system enables the analysis of focal length and aberration by utilizing the computed phase *** extend our investigation to measure the phase distribution of the metalens operating in the near-infrared(NIR)spectrum and identify the impact of defects in the sample on the ***,we conduct a comparative analysis of the phase distribution of the metalens in air and ethanol and observe the variations in the phase modulation of the metalens in different working *** system provides a straightforward method for the phase characterization of metalens,aiding in optimizing the metalens design and functionality.

关键词： phase system distribution

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乳液冰冻光交联法连续化制备多孔聚合物材料

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Science China Materials 2023年第7期66卷 2863-2871页

作者：卢润芝方子正江永波赵骞 State Key Laboratory of Chemical Engineering College of Chemical and Biological EngineeringZhejiang UniversityHangzhou 310027China ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang UniversityHangzhou 311215China

冰模板法用水作为成孔剂,已成为一种无污染且有前景的多孔材料制备方法.由水溶液制备的多孔聚合物通常耐水性较差,通过冰冻悬浮液可以制备疏水性多孔材料,但需要额外添加有机溶剂,易造成环境污染.基于此,本文提出了一种乳液冰冻光交联... 详细信息

冰模板法用水作为成孔剂,已成为一种无污染且有前景的多孔材料制备方法.由水溶液制备的多孔聚合物通常耐水性较差,通过冰冻悬浮液可以制备疏水性多孔材料,但需要额外添加有机溶剂,易造成环境污染.基于此,本文提出了一种乳液冰冻光交联的方法.首先合成无乳化剂的光敏乳液,然后将乳液冰冻并通过光交联的方式固定由冰晶产生的孔结构,再将冰模板融化即可得到多孔聚合物材料.该制孔过程无需冰冻干燥,且光交联效率极高(几分钟内即可完成),有利于连续化生产多孔聚合物.此外,本方法具有较强的普适性和广阔的应用前景,通过不同乳液配方,可获得包括可拉伸的多孔材料、玻璃化转变温度可调的形状记忆多孔材料,以及具有隔热性能的多孔陶瓷等.

关键词： porous ice templated emulsion shape memory polymers ceramics

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Robust Watermarking Based on Multi-layer Watermark Feature Fusion

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IEEE Transactions on Multimedia 2025年

作者： Wu, Shaowu Lu, Wei Luo, Xiangyang Sun Yat-Sen University School of Computer Science and Engineering Ministry of Education Key Laboratory of Information Technology Guangdong Province Key Laboratory of Information Security Technology Guangzhou510006 China State Key Laboratory of Mathematical Engineering and Advanced Computing Henan450002 China

The purpose of robust image watermarking is to embed a watermark into a carrier image in an invisible form and extract the watermark successfully even under noise interference conditions to achieve copyright confirmation and traceability. Although watermarking methods based on deep learning can improve the robustness by adding a noise simulation layer, few theoretical analyses of the codec structure have been conducted. Theoretical explainability is the theoretical basis for developing a network architecture, which plays a guiding role in network development. On the basis of the interpretability of convolutional networks, this paper analyzes the mathematical process of embedding and extracting watermarks in codecs and proposes a novel watermarking framework based on multi-layer watermark feature fusion. Specifically, the encoder can be a convolutional network structure of arbitrary depth, whereas the decoder needs only to adopt its corresponding deconvolution structure. To improve the quality and robustness of the generated watermarked image, the watermark is associated with an arbitrary layer feature space in the decoder. In the decoder, the network quickly converges to each original encoding feature space through the deconvolution structure, thus decoupling the watermark features. Finally, the watermark is extracted via the automatic fusion of multi-layer watermark features. The experimental results show that the proposed method is suitable for few-shot learning, and its invisibility, robustness and generalization performance on multiple datasets are significantly better than those of other advanced methods. © 2025 IEEE.

关键词： Decoding

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