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A microexplosive shockwave-based drug delivery microsystem for treating hard-to-reach areas in the human body

Microsystems & Nanoengineering 2022年第5期8卷 137-148页

作者： Yi Sun Wenzhong Lou Hengzhen Feng Wenting Su Sining Lv Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical EngineeringBeijing Institute of technologyBeijingChina Beijing Institute of Technology Chongqing Innovation Center ChongqingChina

Implantable drug-delivery microsystems have the capacity to locally meet therapeutic requirements by maximizing local drug efficacy and minimizing potential side *** internal organs of the human body including the esophagus,gastrointestinal tract,and respiratory tract,with anfractuos contours,all manifest with endoluminal lesions often located in a curved or zigzag *** ability of localized drug delivery for these organs using existing therapeutic modalities is *** a drug onto these areas and using the adhesion and water absorption properties of the drug powder to attach to lesion areas can provide effective *** study aimed to report the development and application of microsystems based on microshockwave delivery of *** devices comprised a warhead-like shell with a powder placed at the head of the device and a flexible rod that could be inserted at the *** devices had the capacity to deposit drugs on mucous membranes in curved or zigzag areas of organs in the *** explosive impact characteristics of the device during drug delivery were analyzed by numerical *** the experiment of drug delivery in pig intestines,we described the biosafety and drug delivery capacity of the *** anticipate that such microsystems could be applied to a range of endoluminal diseases in curved or zigzag regions of the human body while maximizing the on-target effects of drugs.

关键词： organs drugs curved

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Radar emitter multi-label recognition based on residual network

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Defence technology（防务技术） 2022年第3期18卷 410-417页

作者： Yu Hong-hai Yan Xiao-peng Liu Shao-kun Li Ping Hao Xin-hong Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing100081China Beijing Institute of Telemetry Technology Beijing100081China

In low signal-to-noise ratio(SNR)environments,the traditional radar emitter recognition(RER)method struggles to recognize multiple radar emitter signals in *** paper proposes a multi-label classification and recognition method for multiple radar-emitter modulation types based on a residual *** method can quickly perform parallel classification and recognition of multi-modulation radar time-domain aliasing signals under low ***,we perform time-frequency analysis on the received signal to extract the normalized time-frequency image through the short-time Fourier transform(STFT).The time-frequency distribution image is then denoised using a deep normalized convolutional neural network(DNCNN).Secondly,the multi-label classification and recognition model for multi-modulation radar emitter time-domain aliasing signals is established,and learning the characteristics of radar signal time-frequency distribution image dataset to achieve the purpose of training ***,time-frequency image is recognized and classified through the model,thus completing the automatic classification and recognition of the time-domain aliasing *** results show that the proposed method can classify and recognize radar emitter signals of different modulation types in parallel under low SNRs.

关键词： Radar emitter recognition Image processing Parallel Residual network Multi-label

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Heat Generation Measurement of MOSFET in High-Frequency Transformer Circuits 4

Heat Generation Measurement of MOSFET in High-Frequency Tran...

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4th International Conference on Defence technology, ICDT 2024

作者： Cheng, Jiale Zhang, Yinghao Cheng, Xiangqun Liu, Yang School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China Science and Technology on Electromechanical Dynamic Control Laboratory Beijing100081 China

With the miniaturization of semiconductor devices, heat generation management for Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) is of vital importance. High-frequency switching of MOSFETs is a key component in the operation of transformer circuits. Thus, gaining a deeper understanding of MOSFET heat generation under these high-frequency operating conditions is essential. In this study, we present a transformer circuit based on Pulsed Width Modulation (PWM) regulation and provide a reliable method to measure the temperature variation of MOSFET. We found that higher working frequency usually leads to a higher heat accumulation and thus a higher temperature change. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Oxide semiconductors

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Design and Test of Missile-Borne Acquisition and Storage System for Magnetoelectric Sensor 3

Design and Test of Missile-Borne Acquisition and Storage Sys...

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3rd International Symposium on Semiconductor and Electronic technology, ISSET 2024

作者： Li, Jiale Zeng, Tao Sui, Li Beijing Institute of Technology Science and Technology on Eletromechanical Dynamic Control Laboratory Beijing100081 China Xi'an Institute of Electromechanical Information Technology Xi'an710065 China

ISBN: (纸本)9798350390285

The magnetoelectric sensor can solve the problem of acceleration sensor signal adhesion when a large aspect ratio warhead penetrates a multi-layer protective structure at high speed to certain extent, but no missile-borne acquisition and storage system suitable for this sensor has been found. Therefore, this paper designed a magnetoelectric sensor missile-borne acquisition and storage system, which used GD32E230K8T6 as the main control chip, used the on-chip SAR-ADC to realize the analog-to-digital conversion, and used a resistor network to realize the in-phase attenuation linear transformation for the signal. The data was stored in a 256Kbit FRAM with a sampling rate of more than 100kHz and a sampling accuracy of 12bit. The test result showed that the prototype accomplished the acquisition task and the storage task, and had power-off protection with 330ms working time after power-off. The prototype can meet the requirements of missile-borne acquisition and storage. © 2024 IEEE.

关键词： Linear transformations

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Low SNR FM signal preprocessing method based on low-order cyclic statistics and WVD distribution 2

Low SNR FM signal preprocessing method based on low-order cy...

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2nd International Conference on Robotics, Artificial Intelligence and Intelligent control, RAIIC 2023

作者： Li, Jianfeng Huang, Dingkun Yan, Xiaopeng Dai, Jian Beijing Institute of Technology Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing100081 China

ISBN: (纸本)9798350328004

In order to solve the problem of poor noise suppression effect and long processing time of FM signal under the condition of low SNR by traditional preprocessing methods, a signal preprocessing method based on low-order cyclic statistics and WVD distribution is proposed. The method firstly calculates the cyclic mean value of incoming wave signal, and then transforms the incoming wave signal domain through IFFT algorithm with variable points. Finally, the time-frequency ridge of the FM signal is obtained by WVD time-frequency analysis, and the binary image transformation is carried out. Through simulation analysis, the time-frequency preprocessing method proposed in this paper can greatly reduce the calculation amount and improve the real-time performance while retaining the accuracy of time-frequency features, and provide effective support for subsequent sorting identification and parameter estimation. © 2023 IEEE.

关键词： Binary images

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Research on weak signal detection based on wavelet-correlation detection algorithm 4

Research on weak signal detection based on wavelet-correlati...

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4th International Conference on Digital Signal and Computer Communications, DSCC 2024

作者： Cheng, Biyao Li, Ming Wang, Xiaozhuo Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an710065 China Xi’an Institute of Electromechanical Information Technology Xi’an710065 China School of Astronautics Northwestern Polytechnical University Xi'an710072 China

ISBN: (纸本)9781510681538

The detection of weak signals has a wide range of applications in engineering. In this paper, a combined algorithm of wavelet transform and correlation detection is proposed to address the problems in current detection methods, namely the wavelet-correlation detection algorithm, to detect weak signals. By building a Simulink model on Matlab and implementing simulation through programming, the reliability of the algorithm is verified. The detection performance of the algorithm for weak signals in fixed noise and color noise environments is analyzed, and compared with the cross-correlation detection method. The results show that the wavelet-correlation detection algorithm can distinguish weak signal features from strong noise backgrounds. Taking the 5.2943dB input signal as an example, the wavelet- correlation detection algorithm improves the relative error of amplitude from 1.89% to 0.35%. Signal-to-noise ratio increased by 8.7638dB. © 2024 SPIE.

关键词： Wavelet transforms

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Simulation and Analysis of Position Change Deviation of Equivalent Measurement of Time Domain Transient Magnetic Field Differential Probe 17th

Simulation and Analysis of Position Change Deviation of Equi...

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Li, Fadong Cao, Ronggang Li, Jiawu Cao, Yuxi Zhou, Yu Zhang, Anqi Science and Technology On Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing100081 China Tangshan063611 China

ISBN: (纸本)9789819903566

This paper used Ls-Dyna to simulate the measurement process of the differential probe in the time-domain transient magnetic field, then figure out the displacement-time and velocity-time data measured by the differential probes. There is a variation in the equivalent measurement position of the differential probes by comparing the displacement data of the probes with the corresponding simulation values. From the simulation results. In the previous phase of the armature acceleration, the probe displacement deviates significantly from the simulated value;with the increase of the armature velocity, this value fluctuates;at the telophase of acceleration, the displacement difference is negligible. The equivalent displacement deviation of the corresponding simulation value shows positive and negative fluctuations based on the displacement difference of adjacent probes. Excluding extreme cases, the absolute value of the deviation is within 5%;at the acceleration telophase, it is within 2%. This deviation makes the output of the differential probes inaccurate in the time domain, which is significant for the related experiments when measuring the transient information of the armature motion in the electromagnetic launch by the differential probe. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Probes

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Time-frequency Preprocessing Method of Radiation Source Signal based on Cyclic Statistics

Time-frequency Preprocessing Method of Radiation Source Sign...

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2023 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2023

作者： Huang, Dingkun Yan, Xiaopeng Lv, Minghui Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781510666351

To improve the real-time performance of radiation source signal time-frequency analysis, a fast radiation source signal time-frequency feature extraction method based on low-order cyclic statistics and Choi-Williams transform is proposed. First, the low-order cyclic statistics of the radiation source signal are calculated. Second, the IFFT is used to recover the cyclic domain signal, and the number of sampling points of the radiation source signal is adaptively controlled by the cyclic mean and IFFT point number. Finally, the recovered signal is used for CWD time-frequency analysis. In order to highlight the time-frequency image features, the geometric features of the signal modulation type are extracted using binary image transformation. Simulation analysis shows that the proposed time-frequency preprocessing method can significantly reduce the computational complexity while maintaining the accuracy of time-frequency features and improving real-time performance, providing effective support for subsequent sorting and recognition and parameter estimation work. © 2023 SPIE.

关键词： Binary images

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Segmentation Clustering Algorithm for Point Cloud Processing of Targets on the Ground 3

Segmentation Clustering Algorithm for Point Cloud Processing...

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3rd International Conference on Defence technology, ICDT 2022

作者： Huang, Jinbo Zheng, Zhen Zhang, Yifei Zhou, Yu School of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China Science and Technology on Electromechanical Dynamic Control Laboratory China

After the ground extraction algorithm, there are multiple objects, including the target in the non-ground point cloud. To effectively extract the features of individual objects and overcome the dependence of the traditional algorithm based on the normal vector and curvature of the region growing point cloud segmentation method on the initial point, the normal vector angle in the neighborhood, and the curvature threshold selection. In this paper, we propose a fast clustering segmentation method for region-growing point clouds based on neighborhood density. The test results show that the point cloud segmentation algorithm proposed in this paper has better performance than the traditional Euclidean clustering point cloud segmentation algorithm and region growing point cloud segmentation algorithm in terms of timeliness and correct segmentation rate. This new segmentation clustering algorithm can quickly implement automatic point cloud clustering segmentation of ground objects. © Published under licence by IOP Publishing Ltd.

关键词： Clustering algorithms

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A range-angle estimation algorithm for array FMCW radar based on spatial and temporal sparse extending

A range-angle estimation algorithm for array FMCW radar base...

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2023 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2023

作者： Wang, Xinwei Yan, Xiaopeng Han, Yanwen Huang, Dingkun Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781510666351

Array frequency modulated continuous wave (FMCW) radar is widely used across various platforms to estimate the range and angle of targets using large bandwidth and array angle measurement technology. However, limited platform space and antenna aperture can make obtaining high-precision angle estimations challenging. To address this, a range-angle estimation algorithm based on spatial and temporal sparse extending is proposed. The algorithm extends the array using a nested array in the spatial domain and a sparse virtual array sampled at different locations through platform movement in the temporal domain. The resulting spatial-temporal extended array is equivalent to a large aperture virtual uniform linear array, improving the angle resolution through difference and spatial smoothing processing. By making full use of spatial and temporal information, this method achieves high-precision angle estimation with fewer array elements. © 2023 SPIE.

关键词： Frequency modulation

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