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检索条件"机构=Research Institute of Navigation and Control Technology"

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AN ADAPTIVE PAGE LEVEL ECC STRATEGY FOR MLC NAND FLASH BASED ON ERROR PREDICTION MODEL 9

AN ADAPTIVE PAGE LEVEL ECC STRATEGY FOR MLC NAND FLASH BASED...

引用

9th International Symposium on Test Automation and Instrumentation, ISTAI 2022

作者： Wei, Debao Song, Yu Li, Lin Han, Bingtong School of Electronics and Information Engineering Harbin Institute of Technology Harbin China Navigation and Control Technology Research Institute of Norinco Group Beijing China Beijing Institute of Radio Measurement Beijing China

ISBN: (纸本)9781839538391

The traditional method of high ability of ECC used when NAND flash in low P/E cycles state would cause the waste of computing process and storage space. To deal with this problem, the research in this paper aims at ECC integrated operation cost. This point based on the following two main theories: (1) the increasing trend of average BER with the retention time and the P/E cycles can be easily modelled;(2) the reliability of different pages in the block varies, and only a small part of the whole pages is poor. The main idea is: traditional FTL management algorithm completed wear equilibrium, but it ignored the reliability difference between different pages. For different pages with different erasure conditions, we choose adaptation strategies of ECC for each page, in that way, we can avoid waste of computing and redundant area consumption of OOB (out of band) caused by high error correcting ability of ECC. The experimental results show that the adaptive page level ECC strategy not only meet the requirements of the reliability, but also raise the efficiency of ECC encoding/decoding. The access time of ECC data of was reduced by 38.1%, and the area consumption of OOB decreased by 56.7%. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Reliability

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research on Path Planning Algorithm Based on D∗ Search

Research on Path Planning Algorithm Based on D∗ Search

引用

2023 International Conference on Ocean Studies, ICOS 2023

作者： Leng, Jiajun Fu, Li Wang, Lingling Tang, Ning Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Beijing100036 China Tianjin Navigation Instruments Research Institute Tianjin300131 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Bauman Moscow State Technical University Moscow Department of Automatic Control Systems 105005 Russia

ISBN: (纸本)9798350382457

Path planning algorithms are current research hotspots. Heuristic algorithms that can solve dynamic environment problems are gradually becoming the mainstream research direction. The D∗ algorithm, as one of the new heuristic algorithms, has the advantages of being more computationally efficient than the A ∗ algorithm and being able to solve dynamic problems, and has played an important role in two-dimensional path planning projects such as the NASA Mars rover. But its theoretical research and practical application in 3D environment are very rare. In this context, this paper carries out an in-depth study of the path planning problem based on the D∗ algorithm, and completes the theoretical derivation and simulation process in 2D and 3D environments. In this paper, a complex random 2D map is established by random generation, and the simulation of D∗ algorithm is realized on the map with the help of Python language, which realizes the finding of the relative optimal path. Then, in order to study the feasibility of D∗ solving in 3D environment, the simulation of D∗ algorithm under 3D map is realized with the help of Python and Unity3d. The research results show that the simulation results are good, which is valuable for the theoretical research and practical application of heuristic algorithms, and plays a role in the application of robot path planning algorithms. © 2023 IEEE.

关键词： Python

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Cascaded Compensation of Filter Phase Imperfections in Random Demodulation

Cascaded Compensation of Filter Phase Imperfections in Rando...

引用

International Conference on Electronic Measurement and Instruments, ICEMI

作者： Chenxi Bian Jingchao Zhang Lin Li Liyan Qiao Dept. Automatic Test and Control Harbin Institute of Technology Harbin China Navigation and Control Technology Research Institute of Norinco Group Beijing China

Analog-to-information converter (AIC) is an architecture that implements the compressive sensing (CS) theory and it is capable to generate compressed and digitized output directly from an analog input. Unfortunately, the hardware implementation of AIC inevitably faces the impact of non-ideal factors in the devices. The calibration link is crucial and can have a significant impact on the quality of the signal reconstruction at the back end of the AIC. Random Demodulation (RD) is one of the AICs with a simple structure, and its own structure and calibration link are relatively easy to implement. Low-pass filtering plays an important role in the RD analog acquisition process. In the back-end of the AIC, the impulse response of the low-pass filter in the time domain is constructed as part of the measurement matrix, which directly affects the accuracy of the signal reconstruction in the digital part of the AIC. Existing calibrations mostly focus on amplitude calibration, while the phase distortion of the low-pass filter reduces the accuracy of signal recovery in the RD, which is hardly considered in the calibrations of low-pass filters. To tackle this problem, a Cascaded compensation method of filter phase imperfections is designed, in which a specific all-pass filter is cascaded with the original phase distortion filter so that the phase of the cascaded filters is linear. Comparative simulation experiments were obtained for input signals with different sparsity. The results show that the Signal-to-Noise Ratio (SNR) is significantly improved by using the cascaded phase compensation method, which demonstrates that the proposed method is effective.

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A Global-local Feature Interaction Network for Anti-cloud Interference Change Detection based on Contrastive Learning

A Global-local Feature Interaction Network for Anti-cloud In...

引用

Image Processing, Computer Vision and Machine Learning (ICICML), International Conference on

作者： Jiyuan Yang Kun Gao Qiong Wu Zefeng Zhang Baiyang Hu Yuqing He Key Laboratory of Photoelectronic Imaging Technology and System Ministry of Education Beijing Institute of Technology Beijing China China Ordinance Industry Navigation and Control Technology Research Institute Beijing China

ISBN: (数字)9798350355413

ISBN: (纸本)9798350355420

Bi-temporal change detection (CD) constitutes a vital task within the domain of remote sensing (RS). due to pseudochange caused by factors such as seasonal climate variations, temporary objects, and cloud interference. To address the pseudochange issue stemming from cloud interference, we propose a global-local feature interaction anti-cloud interference change detection network (ACCDNet) based on contrastive learning. To mitigate the scarcity of remote sensing datasets with cloud interference, we leverage contrastive learning principles, using remote sensing images of the same scene at the same time with and without cloud interference as positive sample pairs to pre-train anti-cloud interference capability of the feature extractor. The proposed CD network which bases on a CNN-transformer network, utilizes Resnet to extract multi-scale features from the original input images. We introduce transformer modules and attention mechanisms to effectively extract the contextual information within the input images. To address the pseudochange issue caused by cloud interference, we simulate the effect of thin cloud interference using Perlin noise and add it to classical datasets. Experimental results on LEVIR-CD and LEVIR-CD-cloud datasets augmented with cloud interference demonstrate the priority and efficiency of the proposed method.

关键词： Measurement Attention mechanisms Clouds Noise Interference Contrastive learning Feature extraction Transformers Robustness Remote sensing

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ACCELERATED PERFORMANCE DEGRADATION TEST AND ANALYSIS OF HIGH-TEMPERATURE STRAIN GAUGES 13

ACCELERATED PERFORMANCE DEGRADATION TEST AND ANALYSIS OF HIG...

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13th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2023

作者： Li, Lu Wang, Zhihua Yang, Ning Wu, Qiong Wang, Hanyue Mao, Zelong Ren, Kunpeng Wang, Qiuyue Wang, Yifeng National Key Laboratory of Strength and Structural Integrity School of Aeronautic Science and Engineering Beihang University Beijing China Shenyang Aircraft Design and Research Institute Shenyang China Institute of Spacecraft System Engineering China Academy of Space Technology Beijing China Navigation Instrument Research Institute Tianjin China Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9781839539848

With the extension of the service time of the structure and the worse service temperature conditions, the drift problem of high-temperature strain gauges gradually becomes prominent. This research aims to address the issue of the drift of measurement results because of the performance degradation of high-temperature strain gauges, and investigate the drift law under different temperatures considering complex service environments. In this paper, a combination of experimental research and theoretical analysis is utilized to design and conduct the accelerated performance degradation test on high-temperature strain gauges. Based on the result of the test, an accelerated performance degradation model is developed using the Wiener process and Arrhenius model. Finally, estimation curves for the average value and percentile value of the performance parameters of the high-temperature strain gauges are obtained, which demonstrates that the established accelerated performance degradation model can reasonably describe the degradation law. Additionally, the established accelerated performance degradation model enables effective analysis and compensation of gauge drift at any temperature. © The Institution of Engineering & technology 2023.

关键词： Strain gages

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Human Following Robot Based on Object Detection for Aerospace Application 1

Human Following Robot Based on Object Detection for Aerospac...

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1st International Conference of Adisutjipto on Aerospace Electrical Engineering and Informatics, ICAAEEI 2024

作者： Sumari, Arwin Datumava Wahvudi Aryandika, Ahnaf Bagus Purnami, Ndaru Atmi Dermawan, Denny Syamsiana, Ika Noer State Polytechnic of Malang Cognitive Artificial Intelligence Research Group Department of Electrical Engineering Malang Indonesia Adisutjipto Institute of Aerospace Technology Electrical Engineering Study Program Yogyakarta Indonesia Adisutjipto Institute of Aerospace Technology Aerospace Navigation Instrumentation Control Automation and Robotics System Research Group Electrical Engineering Study Program Yogyakarta Indonesia Adisutjipto Institute of Aerospace Technology Electrical Engineering Study Program Aerosp. Digit. Syst. Microprocessor Microcontroller and Programmable Logic Devices Research Group Yogyakarta Indonesia

ISBN: (纸本)9798331507930

In this research, the Human Following Robot (HFR) prototype has been designed and implemented using YOLO v3-Tiny and Tensor Flow Lite on Raspberry Pi hardware named Rewang. The HFR Rewang is designed to assist aircraft technicians by bringing maintenance tool kits to aircraft shelters. Rewang's movement is based on a camera as a vision sensor following the movement of human entities. Image input is processed by YOLO v3-Tiny through the determination of the bounding box, the calculation of Euclidean Distance, and the determination of the pixel value of the camera as the basis of Rewang's movement which is regulated by an L298N driver motor that controls two Direct Current (DC) motors for the left and right wheels. The test results show that Rewang can move at an average speed of 0.18 m/s at 2 m with a travel time of 11 seconds with a light intensity of more than 250 lux. The minimum and maximum distance of object detection is as far as 120 cm and 400 cm, with an object detection accuracy of 95.8%. Rewang allows the HFR to have a larger carrying capacity to bring more complete aircraft maintenance tools and is prospective for other aerospace and general applications. © 2024 IEEE.

关键词： Travel time

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research on full-range autonomous navigation decision making of ships based on finite state machines

Research on full-range autonomous navigation decision making...

引用

International Conference on Transportation Information and Safety (ICTIS)

作者： Yingjun Hu Yangwen Dan Guangming Shao Shuangning Yu Junqing Han Bin Li Tianjin Navigation Instruments Research Institute Tianjin China Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Tianjin China

Intelligent ship is a major trend of future ship development, and ship intelligent navigation decision is one of the key technologies of intelligent ship. In order to further improve the level of ship intelligence and informatization and strive to realize the full autonomous navigation of the ship from berth to berth, this paper proposes a full-range autonomous navigation decision-making method of the ship based on finite state machine. Firstly, the full-range autonomous navigation is divided into different navigation scenarios according to the navigation task. Secondly, based on the finite state machine theory, the ship autonomous navigation decision model is constructed. Finally, the experimental verification is carried out in the simulation system based on the constructed autonomous navigation decision model. The experimental results show that the ship can realize the full-range autonomous navigation based on the model proposed in this paper, which verifies the feasibility of the construction method and can effectively support the ship autonomous navigation.

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Data Processing Method of Dynamic Gravity Gradiometer Based on Time-frequency Combination 29

Data Processing Method of Dynamic Gravity Gradiometer Based ...

引用

29th Saint Petersburg International Conference on Integrated navigation Systems, ICINS 2022

作者： Li, Da Zhao, Lin Gao, Hongwei Ma, Guoqing Weng, Haina Li, Zhong Harbin Engineer University Harbin China Tianjin Navigation Instrument Research Institute Tianjin China Lab. of Sci. and Technology on Marine Navigation and Control of China State Shipbuilding Corporation Tianjin China Jilin University Changchun China

ISBN: (纸本)9785919950844

Gravity gradiometer is an instrument for continuous measurement of small gravity gradient changes on the earth's surface. The gravity gradiometer based on the principle of rotating accelerometer is the only gravity gradiometer to realize near surface dynamic measurement. Due to the weakness of gravity gradient signal and the limitation of accelerometer performance, the direct output signal of gravity gradiometer contains a lot of motion noise under dynamic conditions, and the signal-to-noise ratio is very low. In conventional gravity gradient data processing, the noise outside the measurement frequency band is removed by low-pass filter after motion compensation, but the dynamic noise distribution is full frequency band, and the low-pass filter cannot eliminate the noise in the passband. In addition, the real gravity gradient signal also has the characteristics of multi-scale and non-stationary in space. Therefore, the time-domain filtering link of wavelet threshold filtering is added in data processing, and the limitation of Fourier transform to non-stationary signal is solved to a certain extent by using the multi-resolution analysis characteristics of wavelet transform in time domain. According to the characteristics of surface gravity gradient signal, the appropriate wavelet base is selected, and the influence of threshold control method, threshold estimation method and decomposition layers on the filtering effect is discussed in detail by using the measured data of gravity gradient vehicle test. On this basis, the optimal filtering parameters are determined. Finally, the above time-frequency combined data processing method is used to process the measured data of gravity gradient aerial test. The processing results show that compared with conventional low-pass filtering, the data processing method proposed in this paper can improve the internal coincidence accuracy of airborne gravity gradient measurement by 30% without losing spatial resolution, and has obvious

关键词： Accelerometers

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Reliability-Based Dynamic Positioning control for Turret-Moored Vessels with Prescribed Performance 1

引用

Chinese Intelligent Automation Conference, CIAC 2023

作者： Tuo, Yulong Feng, Guilin Liang, Xiao Wang, Shasha Guo, Chen College of Marine Electrical Engineering Dalian Maritime University Dalian116026 China Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian116026 China Qingdao Special Equipment Inspection Research Institute Qingdao266100 China TianJin Navigation Instruments Research Institute Tianjin300130 China

ISBN: (数字)9789819961870

ISBN: (纸本)9789819961863

To consider the safety of mooring lines and transient performance of system, a reliability-based dynamic surface controller with prescribed performance is proposed for the dynamic positioning (DP) system of turret-moored vessels. The descriptions are given for the vessel model and the reliability of mooring lines at first. Then, a dynamic surface controller is presented on the basis of reliability of mooring lines and prescribed performance function. The performance specifications are imposed in advance on the reliability and heading tracking errors according to the actual demands. By adjusting the reliability, the ability of mooring system can be fully used within the safe range of mooring lines. Therefore, less energy consumption is needed for the DP system. Finally, the numerical simulations illustrate the performance of the presented DP controller. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

关键词： Reliability

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A semantic segmentation method for UAV image based on improved BiseNetv2 5

A semantic segmentation method for UAV image based on improv...

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5th International Conference on Artificial Intelligence and Computer Science, AICS 2023

作者： Guo, Fengjuan Han, Sen Zhao, Jiahang Han, Jiale Xin, Jing Shaanxi Key Laboratory of Integrated and Intelligent Navigation The 20th Research Institute of China Electronics Technology Corporation Shaanxi Xi’an710068 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Shaanxi Xi’an710048 China

ISBN: (纸本)9781510668621

Aiming at the problem of low semantic segmentation accuracy of tiny targets in UAV aerial images, a bilateral semantic segmentation network T-BiseNetv2 is proposed. The proposed segmentation network is based on BiseNetv2, and the Transformer structure is introduced into semantic branch, and the detail branch and feature fusion module are reconstructed, which improves the network’s capacity to capture both global context information and local semantic information. Several semantic segmentation experiments are conducted on the standard semantic segmentation dataset UAVID, experimental results show that the proposed semantic segmentation network T-BiseNetv2 has a MIoU of 69.52%, which is about 2.2% higher than the original BiseNetv2 network. Especially, for "Human", the IoU of TBiseNetv2 is about 4.3% higher than that of the popular UNetFormer. © 2023 SPIE.

关键词： Unmanned aerial vehicles (UAV)

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