IEEE Transactions on Instrumentation and Measurement最新文献_第4页

Dense Condition-Driven Diffusion Network for Infrared Small Target Detection 用于红外小目标探测的密集条件驱动扩散网络

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-01 DOI: 10.1109/TIM.2024.3488145

Linfeng Li;Yucheng Song;Tian Tian;Jinwen Tian

{"title":"Dense Condition-Driven Diffusion Network for Infrared Small Target Detection","authors":"Linfeng Li;Yucheng Song;Tian Tian;Jinwen Tian","doi":"10.1109/TIM.2024.3488145","DOIUrl":"https://doi.org/10.1109/TIM.2024.3488145","url":null,"abstract":"Infrared small target detection (IRSTD) is important in military and civilian applications. In recent years, numerous methods based on convolutional neural networks (CNNs) have already been explored in the field of IRSTD. However, due to the mismatch between the network’s receptive field and the size of the target, conventional CNN-based methods struggle to fully differentiate between the background and the small target and are prone to losing the small target in deeper layers. A dense condition-driven diffusion network (DCDNet) based on the conditional diffusion model is proposed to address the IRSTD task. The diffusion model can easily fit the distribution of infrared background images, thereby isolating the small targets from the distribution. Extracted features from original images are used as conditions to guide the diffusion model in gradually transforming Gaussian noise into the target image. A dense conditioning module is introduced to provide richer guidance to the diffusion model. This module incorporates multiscale information from the conditional image into the diffusion model. Multiple samplings can reduce the amplitude of background noise to enhance the target. Comprehensive experiments performed on two public datasets demonstrate the proposed method’s effectiveness and superiority over other comparative methods in terms of probability of detection (\u0000<inline-formula> <tex-math>$P_{d}$ </tex-math></inline-formula>\u0000), intersection over union (IoU), and signal-to-clutter ratio gain (SCRG).","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-13"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dictionary Learning Method for Cyclostationarity Maximization and Its Application to Bearing Fault Feature Extraction 循环最大化的字典学习法及其在轴承故障特征提取中的应用

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-01 DOI: 10.1109/TIM.2024.3484531

Weihao Zhang;Cai Yi;Lei Yan;Qi Liu;Qiuyang Zhou;Pengfei He;Le Ran;Yunzhi Lin

{"title":"Dictionary Learning Method for Cyclostationarity Maximization and Its Application to Bearing Fault Feature Extraction","authors":"Weihao Zhang;Cai Yi;Lei Yan;Qi Liu;Qiuyang Zhou;Pengfei He;Le Ran;Yunzhi Lin","doi":"10.1109/TIM.2024.3484531","DOIUrl":"https://doi.org/10.1109/TIM.2024.3484531","url":null,"abstract":"It has been demonstrated that fast convolutional sparse dictionary learning (FCSDL) is a useful instrument for diagnosing rolling bearing faults and can recover rolling bearing fault shocks unaffected by random slippage. However, although FCSDL is not impacted by random fluctuations and can rapidly reconstruct fault shock without truncating the signal, its performance for repetitive fault shock reconstruction is not optimal when dealing with strong noise vibration signals. Therefore, this article proposes cyclostationary convolutional sparse dictionary learning (CCSDL), which is guided by fault features (cyclostationarity) to achieve the greatest signal reconstruction performance. First, the proposed method is based on the rotation frequency, and various frequency-band-covering components in the vibration signal are reconstructed successively. In the meanwhile, the harmonic significance index (HSI), which can indicate the cyclostationarity of the fault shock, evaluates the fault characteristics of each reconstruction result and finally obtains the most significant reconstruction result. Compared with FCSDL and variational mode decomposition (VMD), the proposed method performs far superior in signal reconstruction when processing low SNR vibration data.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-13"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Radio Frequency Fingerprinting for WiFi Devices Using Oscillator Drifts 利用振荡器漂移对 WiFi 设备进行无线电频率指纹识别

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-01 DOI: 10.1109/TIM.2024.3485452

Chaozheng Xue;Tao Li;Yongzhao Li;Yuhan Ruan;Rui Zhang;Octavia A. Dobre

引用次数: 0

Optical Fiber-Coupled Waveguide Grating Chip Sensor Fabricated by Ultraviolet Nanoimprint Lithography 利用紫外纳米压印光刻技术制造光纤耦合波导光栅芯片传感器

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-11-01 DOI: 10.1109/TIM.2024.3485400

Qiaoling Chen;Jianxin Cui;Zengling Ran;Xiu He;Xiaoxue Ruan;Shengyi Qiu;Yanbo Xiao;Qingqiang Zhu;Fei Zhang;Gaoli Xiao;Ziqiang Chen;Jiahui Yu;Yuan Gong

{"title":"Optical Fiber-Coupled Waveguide Grating Chip Sensor Fabricated by Ultraviolet Nanoimprint Lithography","authors":"Qiaoling Chen;Jianxin Cui;Zengling Ran;Xiu He;Xiaoxue Ruan;Shengyi Qiu;Yanbo Xiao;Qingqiang Zhu;Fei Zhang;Gaoli Xiao;Ziqiang Chen;Jiahui Yu;Yuan Gong","doi":"10.1109/TIM.2024.3485400","DOIUrl":"https://doi.org/10.1109/TIM.2024.3485400","url":null,"abstract":"A novel optical fiber-coupled waveguide grating chip device based on Fano resonance effect is proposed and demonstrated for the first time, to the best of our knowledge. It is fabricated by ultraviolet nanoimprint lithography (UV-NIL), with the advantages of low-cost and easy mass production. Such a device can perform multifunctional sensing such as refractive index (RI) and pressure because the variations of the effective RI of the guide mode and the grating period will cause the resonant wavelength shifts under the change of external parameters. Through experimental verification, a RI sensitivity of 59.29 nm/RIU and a pressure sensitivity of 0.89 nm/MPa, a copper ion concentration detection sensitivity of 3.40 pm/\u0000<inline-formula> <tex-math>$mu $ </tex-math></inline-formula>\u0000M are achieved, respectively. Furthermore, the chip sensing function is realized, and each arrayed sensing unit is interrogated through optical fiber scanning. This kind of optical fiber-coupled waveguide grating chip sensor can not only realize array sensing but also measure various physical and chemical parameters. It could find important applications in biochemical and industrial fields.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-9"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Needle Segmentation Using GAN: Restoring Thin Instrument Visibility in Robotic Ultrasound 使用 GAN 进行针头分割：恢复机器人超声波中薄型器械的可见性

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-10-31 DOI: 10.1109/TIM.2024.3451569

Zhongliang Jiang;Xuesong Li;Xiangyu Chu;Angelos Karlas;Yuan Bi;Yingsheng Cheng;K. W. Samuel Au;Nassir Navab

{"title":"Needle Segmentation Using GAN: Restoring Thin Instrument Visibility in Robotic Ultrasound","authors":"Zhongliang Jiang;Xuesong Li;Xiangyu Chu;Angelos Karlas;Yuan Bi;Yingsheng Cheng;K. W. Samuel Au;Nassir Navab","doi":"10.1109/TIM.2024.3451569","DOIUrl":"https://doi.org/10.1109/TIM.2024.3451569","url":null,"abstract":"Ultrasound-guided percutaneous needle insertion is a standard procedure employed in both biopsy and ablation in clinical practices. However, due to the complex interaction between tissue and instrument, the needle may deviate from the in-plane view, resulting in a lack of close monitoring of the percutaneous needle. To address this challenge, we introduce a robot-assisted ultrasound (US) imaging system designed to seamlessly monitor the insertion process and autonomously restore the visibility of the inserted instrument when misalignment happens. To this end, the adversarial structure is presented to encourage the generation of segmentation masks that align consistently with the ground truth in high-order space. This study also systematically investigates the effects on segmentation performance by exploring various training loss functions and their combinations. When misalignment between the probe and the percutaneous needle is detected, the robot is triggered to perform transverse searching to optimize the positional and rotational adjustment to restore needle visibility. The experimental results on ex-vivo porcine samples demonstrate that the proposed method can precisely segment the percutaneous needle (with a tip error of \u0000<inline-formula> <tex-math>$0.37pm 0.29$ </tex-math></inline-formula>\u0000 mm and an angle error of \u0000<inline-formula> <tex-math>$1.19pm 0.29$ </tex-math></inline-formula>\u0000°). Furthermore, the needle appearance can be successfully restored under the repositioned probe pose in all 45 trials, with repositioning errors of \u0000<inline-formula> <tex-math>$1.51pm 0.95~text {mm}$ </tex-math></inline-formula>\u0000 and \u0000<inline-formula> <tex-math>$1.25pm 0.79$ </tex-math></inline-formula>\u0000°.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-11"},"PeriodicalIF":5.6,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Evidential-Enhanced Tri-Branch Consistency Learning Method for Semi-Supervised Medical Image Segmentation 一种用于半监督医学图像分割的证据增强型三分支一致性学习方法

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-10-30 DOI: 10.1109/TIM.2024.3488143

Zhenxi Zhang;Heng Zhou;Xiaoran Shi;Ran Ran;Chunna Tian;Feng Zhou

{"title":"An Evidential-Enhanced Tri-Branch Consistency Learning Method for Semi-Supervised Medical Image Segmentation","authors":"Zhenxi Zhang;Heng Zhou;Xiaoran Shi;Ran Ran;Chunna Tian;Feng Zhou","doi":"10.1109/TIM.2024.3488143","DOIUrl":"https://doi.org/10.1109/TIM.2024.3488143","url":null,"abstract":"The semi-supervised segmentation presents a promising approach for large-scale medical image analysis, effectively reducing annotation burdens while achieving comparable performance. This methodology holds substantial potential for streamlining the segmentation process and enhancing its feasibility within clinical settings for translational investigations. While cross-supervised training, based on distinct co-training subnetworks, has become a prevalent paradigm for this task, addressing critical issues, such as predication disagreement and label-noise suppression requires further attention and progress in cross-supervised training. In this article, we introduce an evidential tri-branch consistency learning framework (ETC-Net) for semi-supervised medical image segmentation. ETC-Net employs three branches: an evidential conservative branch (ECB), an evidential progressive branch (EPB), and an evidential fusion branch (EFB). The first two branches exhibit complementary characteristics, allowing them to address prediction diversity and enhance training stability. We also integrate uncertainty estimation from the evidential learning into cross-supervised training, mitigating the negative impact of erroneous supervision signals. In addition, the EFB capitalizes on the complementary attributes of the first two branches and leverages an evidence-based Dempster-Shafer fusion strategy, supervised by more reliable and accurate pseudolabels of unlabeled data. Extensive experiments conducted on LA, Pancreas-CT, and automated cardiac diagnosis challenge (ACDC) datasets demonstrate that ETC-Net surpasses other state-of-the-art methods for semi-supervised segmentation. The code will be made available in the near future at: \u0000<uri>https://github.com/Medsemiseg</uri>\u0000.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-13"},"PeriodicalIF":5.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Liquid Hydrogen Temperature Cryostage for Ice-Assisted Electron-Beam Lithography 用于冰辅助电子束光刻技术的液氢温度低温恒温器

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-10-30 DOI: 10.1109/TIM.2024.3485441

Rui Zheng;Limin Qi;Sizhuo Li;Zhihua Gan;Ding Zhao;Min Qiu

{"title":"Liquid Hydrogen Temperature Cryostage for Ice-Assisted Electron-Beam Lithography","authors":"Rui Zheng;Limin Qi;Sizhuo Li;Zhihua Gan;Ding Zhao;Min Qiu","doi":"10.1109/TIM.2024.3485441","DOIUrl":"https://doi.org/10.1109/TIM.2024.3485441","url":null,"abstract":"Liquid nitrogen (LN2) typically acts as a coolant in ice-assisted electron-beam lithography (iEBL) systems, so that the cryostage temperature cannot be lower than 77 K. To condense more gaseous precursors, such as carbon dioxide (CO2) in a high vacuum environment, a cooling system that does not rely on LN2 is necessary. In this article, we integrate a Gifford-McMahon (GM) cryocooler into the iEBL system, which can cool down samples from room temperature to 21 K in 2.25 h. The cold head and sample holder reach minimum temperatures of \u0000<inline-formula> <tex-math>$5.37~pm ~0.012$ </tex-math></inline-formula>\u0000 K and \u0000<inline-formula> <tex-math>$19.14~pm ~0.009$ </tex-math></inline-formula>\u0000 K, respectively, which lies within the temperature zone of liquid hydrogen. Furthermore, a gas-gap isolation system and discrete rotary valve are employed to minimize the vibration effects on the scanning electron microscope (SEM), with the vibration being limited to about 30 nm. Finally, CO2 has been investigated as the precursor, revealing itself as the second positive resist in iEBL, with a critical dose one order of magnitude less than water ice. Gold nanostructures are also successfully fabricated using such a resist. Our system achieves the lowest temperature in iEBL system to date, substantially expanding the range of precursors that can be used in iEBL.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-4"},"PeriodicalIF":5.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fiber-Optic Time Transfer Based on Bidirectional FDM and Cross Correlation Processing 基于双向波分复用器和交叉相关处理的光纤时间传输

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-10-30 DOI: 10.1109/TIM.2024.3488142

Kunfeng Xie;Xiaoming Zhang;Liang Hu;Jianping Chen;Guiling Wu

{"title":"Fiber-Optic Time Transfer Based on Bidirectional FDM and Cross Correlation Processing","authors":"Kunfeng Xie;Xiaoming Zhang;Liang Hu;Jianping Chen;Guiling Wu","doi":"10.1109/TIM.2024.3488142","DOIUrl":"https://doi.org/10.1109/TIM.2024.3488142","url":null,"abstract":"In this article, we proposed a high-precision fiber-optic time transfer (FOTT) scheme based on bidirectional frequency division multiplexing and cross correlation (BFDM-CC) processing. Time signals at different stations are encoded as different time-varying signals within different frequency passbands, respectively. The transferred time-varying signals are carried on the same wavelengths and transmitted to each other, which are precisely recovered at the receiving stations. The time differences between the received time-varying signals and the one generated according to the local time signals are measured by cross correlation processing. Since the transferred time-varying signals are nonoverlapping on spectrum, backscattering noises from fiber links can be effectively suppressed by simple electrical filtering. At the same time, the symmetry of bidirectional transmission can be guaranteed maximally to avoid the time-consuming and laborious link calibration and support fiber link switching without requiring link recalibration. The proposed scheme is experimentally demonstrated over 50-, 100-, and 150-km fiber links, respectively. The results show that the measured mean clock difference can be less than 3.55 ps over fibers with different lengths, and the stability in terms of time deviation can be less than 34.46 ps at 1 s and 1.26 ps at 1000 s over 150-km fiber link, respectively.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-7"},"PeriodicalIF":5.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optical Flow Amplitude-Based Method for Detection and Quantitative Evaluation of Impact Damage in CFRP 基于光流振幅的 CFRP 冲击损伤检测和定量评估方法

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-10-30 DOI: 10.1109/TIM.2024.3488137

Yi Zhou;Jia Liu;Xiuyun Zhou;Luping Feng;Lie Chen;Zhen Liu

引用次数: 0

Dead Reckoning Method for Tracking Wellbore Trajectories Constrained by the Drill Pipe Length 受钻杆长度限制的井筒轨迹跟踪死循环法

IF 5.6 2区工程技术

IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-10-30 DOI: 10.1109/TIM.2024.3488150

Shaowen Ji;Chunxi Zhang;Longjie Tian;Longjun Ran;Yanqiang Yang

{"title":"Dead Reckoning Method for Tracking Wellbore Trajectories Constrained by the Drill Pipe Length","authors":"Shaowen Ji;Chunxi Zhang;Longjie Tian;Longjun Ran;Yanqiang Yang","doi":"10.1109/TIM.2024.3488150","DOIUrl":"https://doi.org/10.1109/TIM.2024.3488150","url":null,"abstract":"Two key factors for calculating the trajectory of a wellbore are the attitude and interval of the survey stations. A measurement while drilling (MWD) system that relies on magnetometers and accelerometers may fail to measure the wellbore attitude in an environment with magnetic anomalies. In addition, in the case of a wellbore trajectory with large variations in the attitude, the commonly used minimum curvature method (MCM) can result in large deviations from the planned wellbore trajectory. In this study, a novel dead reckoning (DR) method was developed that is constrained by drill pipe length subdivisions for improved tracking accuracy of wellbore trajectories with a large variety of attitudes. A gyro MWD system based on fiber optic gyroscopes (FOGs) and accelerometers is utilized to continuously calculate the wellbore attitude. The variations in the attitude angle within the wellbore can be tracked by using the proportional relationship between increments in the attitude and drill pipe length subdivisions, which can be synchronized with the gyro MWD update frequency. Simulations and experiments were performed to verify that the proposed method could accurately track wellbore trajectories with large variations in the attitude. In the simulation, the proposed method demonstrated a mean trajectory deviation of less than 0.5 m over a distance of 30 m, which was markedly lower than the mean deviation of 2.5 m by the MCM. In the slope experiment, the proposed method demonstrated substantially better tracking accuracy of the wellbore trajectory than the MCM. Measurements from an actual wellbore with large variations in the attitude confirmed that the proposed method reduced the tracking error by up to 3 m compared to the MCM.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-12"},"PeriodicalIF":5.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0