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分布式光纤拉曼温度传感器与光纤拉曼放大器

分布式光纤拉曼温度传感器与光纤拉曼放大器

全国第十次光纤通信暨第十一届集成光学学术会议（OFCI...

作者：张在宣王剑锋郭宁余向东吴孝彪冯海琪 insoos.kim Yohee kim 中国计量学院光电子技术研究所中国计量学院光电子技术研究所中国计量学院光电子技术研究所中国计量学院光电子技术研究所中国计量学院光电子技术研究所中国计量学院光电子技术研究所 Optical Technology Research Group Korea Electrotechnology Research Institute Optical Technology Research Group Korea Electrotechnology Research Institute

本文介绍了光纤拉曼散射效应,讨论了应用光纤自发拉曼散射的分布式光纤温度传感器的工作原理和应用光纤受激拉曼散射效应的分布式光纤拉曼放大器的工作原理.已研制成10km分布式光纤拉曼温度测量网络并应用于煤矿温度场高温（1000℃）检...

本文介绍了光纤拉曼散射效应,讨论了应用光纤自发拉曼散射的分布式光纤温度传感器的工作原理和应用光纤受激拉曼散射效应的分布式光纤拉曼放大器的工作原理.已研制成10km分布式光纤拉曼温度测量网络并应用于煤矿温度场高温（1000℃）检测和报警;对分布式光纤拉曼放大器实验进行了分析和讨论.

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30公里远程分布光纤拉曼温度传感器系统

30公里远程分布光纤拉曼温度传感器系统

前向抽运分布式光纤拉曼放大器中受激布里渊散射串扰的实验研究

中国光学学会2004年学术大会

作者：张在宣王剑锋刘红林余向东吴孝彪 insoos.kim 中国计量学院光电子技术研究所中国计量学院光电子技术研究所中国计量学院光电子技术研究所中国计量学院光电子技术研究所中国计量学院光电子技术研究所韩国电气技术研究院

本文讨论了分布光纤拉曼温度传感器系统发展的现状。釆用先进的鉺光纤脉冲激光器作为光源,研制了30公里远程分布光纤拉曼温度传感器系统,采用了新的光纤放大的反斯托克斯背向拉曼自发散射测温原理,采用1550nm掺鉺光纤激光器作为抽运源... 详细信息

本文讨论了分布光纤拉曼温度传感器系统发展的现状。釆用先进的鉺光纤脉冲激光器作为光源,研制了30公里远程分布光纤拉曼温度传感器系统,采用了新的光纤放大的反斯托克斯背向拉曼自发散射测温原理,采用1550nm掺鉺光纤激光器作为抽运源和高速瞬态波形采样技术,累加平均等信号处理技术,提高了信噪比,解决了弱信号检测问题。采用了智能化恒温技术,使主要元器件在恒温条件下工作,解决了工程应用中环境的造应性。远程分布光纤拉曼温度传感器系统的主要技术指标如下:光纤长度:31公里,测温范围:0-100°C（可扩展）,温度测量不确定度:±2°C,温度分辨率:0.1°C,测量时间:432秒,空间分辨率:4m。

关键词：光纤传感器分布光纤温度传感器背向拉曼散射光纤放大的反斯托克斯拉曼自发散射光时域反射技术

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前向抽运分布式光纤拉曼放大器中受激布里渊散射串扰的实验研究

Hyperreflective photonic crystals created by shearing colloidal dispersions at ultrahigh volume fraction

全国第十一次光纤通信暨第十二届集成光学学术会议（OFC...

作者：张在宣刘涛李晨霞刘红林 insoos.kim 王剑锋方达伟庄松林中国计量学院光电子技术研究所上海理工大学光电信息学院电气技术研究院

本文研究了在前向抽运条件下,分布式光纤拉曼放大器中受激布里渊散射(SBS)现象。用窄光谱带宽(<100MHz)的可调谐LD作为信号源,通过自制的FRA-1型分布式光纤拉曼放大器,信号被放大,当信号功率超过单模光纤受激布里渊散射的阈值时,出现了... 详细信息

本文研究了在前向抽运条件下,分布式光纤拉曼放大器中受激布里渊散射(SBS)现象。用窄光谱带宽(<100MHz)的可调谐LD作为信号源,通过自制的FRA-1型分布式光纤拉曼放大器,信号被放大,当信号功率超过单模光纤受激布里渊散射的阈值时,出现了前向受激布里渊散射。随着拉曼放大器抽运功率的提高,在斯托克斯区,出现了多阶的受激布里渊散射线,信号的功率转换为SBS功率;当进一步增加拉曼放大器的抽运功率,拉曼放大器的增益下降,噪声变坏,噪声因子由负变为正,SBS的串扰破坏了拉曼放大器的特性,使拉曼放大器无法在DWDM光纤传输系统中使用,因此需要严格地控制入纤的信号功率和放大器的抽运功率。

关键词：分布式光纤拉曼放大器受激拉曼散射受激布里渊散射 DWDM光纤传输系统串扰

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Microsystems & Nanoengineering 2024年第1期10卷 161-173页

作者： Minji kim Jong Bin kim Shin-Hyun kim Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Republic of Korea

Colloidal crystallization serves as one of the most economic and scalable production methods for photonic ***,insufficient optical performance,nonuniformity and low reproducibility remain challenges for advanced high-value *** this study,we optimally formulate a photocurable dispersion of silica particles and apply shear flow to unify the orientation of the colloidal crystals,ensuring high optical performance and *** silica particles experience strong repulsion at ultrahigh volume fractions of 50%but demonstrate low mobility,leading to polycrystalline *** shear flow to the dispersions allows the silica particles to rearrange into larger crystalline domains with a unidirectional orientation along the *** shear-induced structural change produces absolute reflectivity at the stopband as high as 90%and a high transparency of 90%at off-resonant wavelengths with minimal diffusive ***,the strong interparticle repulsion ensures a uniform volume fraction of particles throughout the dispersion,reducing deviations in the optical *** intricately micropattern the photocurable dispersions using ***,the photonic films and patterns can be stacked to form multiple layers,displaying mixed structural colors and multiple reflectance peaks without sacrificing *** superior photonic materials hold promise for various optical applications,including optical components and anticounterfeiting patches.

关键词： properties. dispersion reflectivity

Boosted Lithium-Ion Transport Kinetics in n-Type Siloxene Anodes Enabled by Selective Nucleophilic Substitution of Phosphorus

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Nano-Micro Letters 2024年第10期16卷 618-637页

作者： Se In kim Woong-Ju kim Jin Gu Kang Dong-Wan kim School of Civil Environmental and Architectural EngineeringKorea University02841 SeoulSouth Korea Nanophotonics Research Center Korea Institute of Science and Technology02792 SeoulSouth Korea

Doped two-dimensional(2D)materials hold significant promise for advancing many technologies,such as microelectronics,optoelectronics,and energy ***,n-type 2D oxidized Si nanosheets,namely n-type siloxene(n-SX),are employed as Li-ion battery *** thermal evaporation of sodium hypophosphite at 275℃,P atoms are effectively incorporated into siloxene(SX)without compromising its 2D layered morphology and unique Kautsky-type crystal ***,selective nucleophilic substitution occurs,with only Si atoms being replaced by P atoms in the O_(3)≡Si-H *** resulting n-SX possesses two delocalized electrons arising from the presence of two electron donor types:(i)P atoms residing in Si sites and(ii)H *** doping concentrations are varied by controlling the amount of precursors or their mean free *** at 2000 mA g^(-1),the n-SX electrode with the optimized doping concentration(6.7×10^(19) atoms cm^(-3))delivers a capacity of 594 mAh g^(-1) with a 73%capacity retention after 500 *** improvements originate from the enhanced kinetics of charge transport processes,including electronic conduction,charge transfer,and solid-state *** approach proposed herein offers an unprecedented route for engineering SX anodes to boost Li-ion storage.

关键词： Li-ion battery Two-dimensional N-type siloxene Doping mechanism Kinetics

Investigation of operation and degradation mechanisms in ZnTeSe blue quantum-dot light-emitting diodes by identifying recombination zone

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Nano Research 2024年第7期17卷 6527-6533页

作者： Oul Cho Sujin Park Hogeun Chang Jiwhan kim Jaekwon kim Sungwoo kim Taehyung kim Jeonghun Kwak Department of Electrical and Computer Engineering Inter-university Semiconductor Research Centerand Soft Foundry InstituteSeoul National UniversitySeoul 08826Republic of Korea Material Research Center Samsung Advanced Institute of TechnologySuwonGyeonggi-do 16419Republic of Korea

ZnTeSe quantum dots(QDs),recognized as promising eco-friendly blue electroluminescent emitters,remain under-explored in light-emitting diode(LED)***,to elucidate the operation and degradation mechanisms of ZnTeSe blue QD-LEDs,stacked ZnTeSe QD layers with discernable luminescence are designed by varying Te doping concentrations,and the recombination zones(RZs)of the blue QD-LEDs are *** RZs are identified near the hole-transport layer(HTL),confirmed by angular-dependent electroluminescence measurements and optical *** addition,in order to investigate carrier dynamics in the process of recombination,the transient electroluminescence(tr-EL)signals of the dichromatic QD-LEDs are *** a result,it is inferred that the RZ initially formed near the electron-transport layer(ETL)due to the high injection barriers of ***,due to the fast electron mobility,the RZ shifts toward the HTL as the operating current *** the device lifetime tests,the RZ remains stationary while the photoluminescence(PL)corresponding to the RZ undergoes a substantial decrease,indicating that the degradation is accelerated by the concentrated *** this study contributes to a deeper understanding of the operational mechanisms of ZnTeSe blue QD-LEDs.

关键词： quantum dots light-emitting diodes degradation recombination zones carrier dynamics

Dragonfly Interaction Algorithm for Optimization of Queuing Delay in Industrial Wireless Networks

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Journal of Bionic Engineering 2024年第1期21卷 447-485页

作者： Sanjay Bhardwaj Da-Hye kim Dong-Seong kim Department of IT Convergence Engineering ICT Convergence Research CenterKumoh National Institute of TechnologyGumiSouth Korea

In industrial wireless networks,data transmitted from source to destination are highly *** often leads to the queuing of the data,and poor management of the queued data results in excessive delays,increased energy consumption,and packet ***,a nature-inspired-based Dragonfly Interaction Optimization Algorithm(DMOA)is proposed for optimization of the queue delay in industrial wireless *** term“interaction”herein used is the characterization of the“flying movement”of the dragonfly towards damselflies(female dragonflies)for *** a result,interaction is represented as the flow of transmitted data packets,or traffic,from the source to the base *** includes each and every feature of dragonfly movement as well as awareness of the rival dragonflies,predators,and damselflies for the desired optimization of the queue *** features are juxtaposed as noise and interference,which are further used in the calculation of industrial wireless metrics:latency,error rate(reliability),throughput,energy efficiency,and fairness for the optimization of the queue *** analysis,convergence analysis,the Wilcoxon test,the Friedman test,and the classical as well as the 2014 IEEE Congress of Evolutionary Computation(CEC)on the benchmark functions are also used for the evaluation of DMOA in terms of its robustness and *** results demonstrate the robustness of the proposed algorithm for both classical and benchmarking functions of the IEEE CEC ***,the accuracy and efficacy of DMOA were demonstrated by means of the convergence rate,Wilcoxon testing,and ***,fairness using Jain’s index in queue delay optimization in terms of throughput and latency,along with computational complexity,is also evaluated and compared with other *** results show that DMOA exceeds other bio-inspired optimization algorithms in terms of fairness in queue delay management and average packet *** proposed a

关键词： Dragonfly Damselfly Interaction Queuing delay Optimization Industrial wireless networks

Ag-GST/HfO_(x)-based unidirectional threshold switching selector with low leakage current and threshold voltage distribution for high-density cross-point arrays

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Rare Metals 2024年第1期43卷 280-288页

作者： Kyoung-Joung Yoo Dae-Yun Kang Nahyun kim Ho-Jin Lee Ta-Hyeong kim Taeho kim Tae Geun kim School of Electrical Engineering Korea UniversitySeoul 02841Republic of Korea

The use of electrochemical-metallization-based volatile threshold switching selectors in cross-point arrays has been widely explored owing to their high on-off ratios and simple ***,these devices are unsuitable for cross-point architectures because of the difficulty in controlling the random filament formation that results in large fluctuations in the threshold voltage during *** this study,we investigated the unidirectional threshold transition characteristics associated with an Ag/GST/HfO_(x)/Pt-based bilayer selector and demonstrated the occurrence of a low leakage current(<1×10^(-11) A) and low distribution of the threshold voltage(Δ0.11 V).The bilayer structure could control the filament formation in the intermediate state through the insertion of an HfO_(x) tunneling *** stacking a bilayer selector with NiO_(x)based resistive random-access memory,the leakage and programming currents of the device could be significantly *** the crossbar array configuration,we performed equivalent circuit analysis of a one-selector oneresistor(1S1R) devices and estimated the optimal array size to demonstrate the applicability of the proposed *** maximum acceptable crossbar array size of the 1S1R device with the Ag/GST/HfO_(x)/Pt/Ti/NiO_(x)/Pt structure was 5.29×10^(14)(N^(2),N=2.3×10^(7)).

关键词： Selector device Tunneling barrier Threshold switching Sputtering 1S1R Cross-point array

Anomaly Detection in Imbalanced Encrypted Traffic with Few Packet Metadata-Based Feature Extraction

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 585-607页

作者： Min-Gyu kim Hwankuk kim Department of Financial Information Security Kookmin UniversitySeoul02707Republic of Korea Department of Information Security Cryptography Mathematics Kookmin UniversitySeoul02707Republic of Korea

In the IoT(Internet of Things)domain,the increased use of encryption protocols such as SSL/TLS,VPN(Virtual Private Network),and Tor has led to a rise in attacks leveraging encrypted *** research on anomaly detection using AI(Artificial Intelligence)is actively progressing,the encrypted nature of the data poses challenges for labeling,resulting in data imbalance and biased feature extraction toward specific *** study proposes a reconstruction error-based anomaly detection method using an autoencoder(AE)that utilizes packet metadata excluding specific node *** proposed method omits biased packet metadata such as IP and Port and trains the detection model using only normal data,leveraging a small amount of packet *** makes it well-suited for direct application in IoT environments due to its low resource *** experiments comparing feature extraction methods for AE-based anomaly detection,we found that using flowbased features significantly improves accuracy,precision,F1 score,and AUC(Area Under the Receiver Operating Characteristic Curve)score compared to packet-based ***,for flow-based features,the proposed method showed a 30.17%increase in F1 score and improved false positive rates compared to Isolation Forest and ***,the proposedmethod demonstrated a 32.43%higherAUCwhen using packet features and a 111.39%higher AUC when using flow features,compared to previously proposed oversampling *** study highlights the impact of feature extraction methods on attack detection in imbalanced,encrypted traffic environments and emphasizes that the one-class method using AE is more effective for attack detection and reducing false positives compared to traditional oversampling methods.

关键词： One-class anomaly detection feature extraction auto-encoder encrypted traffic CICIoT2023