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Chinese Automation congress (CAC)

作者： Xiaoyu Chen Xin Ma Li Shi Teng Li Shandong Xiehe University School of Computer Science Jinan China Beijing University of Chemical Technology School of Information Science and Technology Beijing China Research and Development Department (R&D) Jinan Bodor CNC Machine Co.Ltd Jinan China Shandong University School of Control Science and Engineering Jinan China

Aiming at teaching of specialized courses, this paper constructs a model for addressing both teaching and evaluation methods. Taking the bridge-in, objective, pre-assessment, participatory learning, post-assessment and summary (BOPPPS) model as a teaching objective, the curriculum evaluation system is established by using the analytic hierarchy process (AHP) scheme. As a result, the course model of BOPPPS-AHP is proposed. The AHP evaluation model is established in the form of expert judgment and questionnaire survey, three first-level indicators, and twelve second-level indicators are established. By calculating the evaluation weights of each index and consistency test, it shows that the curriculum quality evaluation system with the proposed model is feasible to the course of Sensor Principle and Application. Through the comparison between the experimental group and the control group, the BOPPPS-AHP model is conducive to enhancing students' learning interest and comprehensive ability.

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Automatic Test System for HPM Effect Injection Experiment

Automatic Test System for HPM Effect Injection Experiment

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International conference on Vacuum Electronics

作者： Chunguang Ma Mingwen Zhang Yuanci Gao Junyu Zhao Yong Luo Qingqing Zhen School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu China Electromagnetic Protection R&d Center An Fang Gao Ke Electromagnetic Safety Technology (Beijing) Co. Ltd. Beijing China

Microwave effect experiment is an important means to study the threshold of core electronic components of electronic equipment. In view of the characteristics of traditional microwave effect experimental platforms, which are mostly suitable for single parameter test, cumbersome process and low efficiency. This paper describes a high power microwave (HPM) effect automatic test system with multiple functions, such as one key test, multi parameter extraction, real-time test data acquisition, automatic analysis of test results and so on. Experiments show that the automatic test system can provide experimental data support for the study of electromagnetic effect mechanism and electromagnetic protection scheme of HPM on semiconductor devices and electronic circuits.

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Mortar: Morphing the Bit Level Sparsity for General Purpose deep Learning Acceleration

Mortar: Morphing the Bit Level Sparsity for General Purpose ...

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Asia and South Pacific design Automation conference

作者： Yunhung Gao Hongyan Li Kevin Zhang Xueru Yu Hang Lu School of Electronics Engineering and Computer Science Peking University Beijing China State Key Lab of Computer Architecture Institute of Computing Technology CAS University of Chinese Academy of Sciences Beijing China Shanghai Integrated Circuits R&D Center Co. Ltd Shanghai China

Vanilla deep Neural Networks (dNN) after training are represented with native floating-point 32 (fp32) weights. We observe that the bit-level sparsity of these weights is very abundant in the mantissa and can be directly exploited to speed up model inference. In this paper, we propose Mortar, an off-line/on-line collaborated approach for fp32 dNN acceleration, which includes two parts: first, an off-line bit sparsification algorithm to construct the target formulation by “mantissa morphing”, which maintains higher model accuracy while increasing bit-level sparsity; second, the associating hardware accelerator architecture to speed up the on-line fp32 inference through manipulating the enlarged bit sparsity. We highlight the following results by evaluating various deep learning tasks, including image classification, object detection, video understanding, video & image super-resolution, etc.: We (1) increase bit-level sparsity up to 1.28~2.51x with only a negligible -0.09~0.23% accuracy loss, (2) maintain on average 3.55% higher model accuracy while increasing more bit-level sparsity than the baseline, (3)and our hardware accelerator outperforms up to 4.8x over the baseline, with an area of 0.031 mm 2 and power of 68.58mW.

关键词： deep learning Training Mortar Superresolution Software algorithms Inference algorithms Software

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New PdC bit with hollowed cutters: With increased rOP and longer service life

New PDC bit with hollowed cutters: With increased ROP and lo...

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Abu dhabi International Petroleum Exhibition and conference 2019, AdIP 2019

作者： Zhang, Hongying Chen, Huihui Liu, Feng Wang, Na Huang, Yanfu Fang, Zhimeng Pan, Xingming Beijing Petroleum Machinery Co. Ltd CNPC Engineering and Technology R&D Company China Beijing Petroleum Machinery Co. Ltd CNPC China

ISBN: (纸本)9781613996720

A novel design of PdC bit with hollowed cutters is presented that uses the principle of hydraulic lubricating and water jetting mechanism to improve rOP. engineering results show its advantage compared to solid fixed cutters which are commonly used in today's drilling industry. The structure of the new PdC bit is as follows: each cutter contains a specific fluid channel, which is tailor made;the bit body contains many fluid channels;compared with the existing conventional PdC bit, the main distinctive features are: the cutters are hollowed, each cutter contains a fluid channel in the centre of itself;and the bit body has fluid passages which are communicating with each hollowed cutter, allowing the drilling fluid flows from the inside of the bit to the outside of each cutter. The failures of a PdC bit are mostly due to premature wear or cracks of compound cutters;the wear or cracks are due to mechanical and thermal effects. To improve the service life of cutters can effectively increase the life of the drill bit. According to thermal stress analysis, the position where the frictional heat concentrated is in the centre of the cutter, which will result in the generation and expansion of thermal cracks, which in turn leads to failure of the cutter and loss of rOP. Therefore, the cutter with fluid passage will improve the way of thermal concentration and expansion, thereby prolonging the life of the drill bit, reducing the number of trips, improving single run drilling footage, therefore the drilling efficiency is increased. during the drilling operation, the rock cuttings cannot flow out timely, and may accumulate on the drill bit, which is commonly referred to as mud balling. The presence of mud balling will reduce the cutting capability of the drill bit and decrease the rOP. The new PdC bit with hollowed cutters has self-cooling and self-cleaning functions to mitigate the thermal effect, while the pressurized flow from the micro-hole of the cutter has the effect of w

关键词： Cracks

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Effect of energy density on down surface characteristics of AlSi10Mg alloy fabricated via selective laser melting

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Heliyon 2024年第20期10卷 e39522页

作者： Kang, Cheol Kim, Gun-Hee Kim, Won rae Lee, Taeg Woo Kang, Hyun Soo Ham, Min Ji Choi, Seon-Jin Choi, Hye Yoon Kim, Ki-Seung Kim, Hyo Tae Kim, Hyung Giun Functional Materials and Components R&D Group Korea Institute of Industrial Technology Gangeung 25440 South Korea Division of Materials Science and Engineering Hanyang University Seoul 04763 South Korea LIG Nex1 Co. Ltd. Seongnam 13488 South Korea

The correlation between surface roughness and energy density in the down surface area of AlSi10Mg alloy manufactured by selective laser melting was analyzed. This study investigated the relationship between the contour melt pool shape and surface roughness in the down surface area across an energy density range of 10–150 J/mm³. As the energy density increased, the contour melt pool in the down surface area became more stable, which significantly influenced surface roughness. Low energy density resulted in the unstable formation of the contour melt pool, leading to a deterioration in surface quality, whereas high energy density promoted the stable formation of the melt pool. Sufficient energy density is essential for the complete formation of the contour melt pool on the down surface, which plays a crucial role in reducing surface roughness. However, within the energy density range where the contour melt pool is fully formed, keyhole defects may occur, and it can be anticipated that these defects may worsen at energy densities exceeding the critical threshold. © 2024 The Authors

关键词： down surface Energy density Melt pool Selective laser melting Surface roughness

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comparative Study on Adversarial Captcha with Three Target detection Models

Comparative Study on Adversarial Captcha with Three Target D...

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Chinese Automation congress (CAC)

作者： Zhang Xin Wujun Xu Yu Suping Ling Jin College of Information Science and Technology Donghua University Shanghai College of Information Science and Technology Donghua University Engineering Research Center of Digitalized Textiles and Fashion Technology Ministry of Education Shanghai Intel Asia Pacific R&D Co. Ltd Shanghai

In order to distinguish whether the user is a human or a robot, prevent decryption of password, accounts and so on, three kinds of target detection model training for Adversarial Captcha are proposed. The process of training and evaluate-on of adversarial samples are described in detail in this paper. depth target detection model is selected as attack model, and Projected Gradient descent (PGd) algorithm is applied to generate adversarial samples based on three models: YOLOv4, Single Shot MultiBox detector (SSd) and Faster region-CNN (r-CNN). The samples are compared with clean samples under undirected attack. The results show that the captcha samples have successfully misled the neural network with high confidence, making them output incorrect results. The algorithm proposed in this paper can be used in many fields in the Internet to verify whether it is human or not.

关键词： Training Automation Neural networks Object detection Passwords detectors Internet

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Multi-basis continuous wavelet transform feature wavelengths selection and machine learning with hyperspectral imaging for non-destructive prediction of 1,2-propylene glycol content in cased tobacco leaves

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Applied Optics 2025年第18期64卷 5087-5098页

作者： Zhongpan Yang Wuyin Jin Jinsong du School of Mechanical and Electronical Engineering Lanzhou University of Technology No. 287 Langongping Road Qilihe District Lanzhou City Gansu Province 730050 China Technology R&D Center Gansu Tobacco Industrial Co. Ltd. No. 1111 Nanbinhe Middle Road Qilihe District Lanzhou City Gansu Province 730050 China Key Laboratory of Tobacco Processing Technology of CNTC Zhengzhou Tobacco Research Institute of CNTC No. 2 Fengyang Street National High-Tech Industrial Development Zone Zhengzhou City Henan Province 450001 China

The process of manufacturing tobacco casings constitutes a critical step in the production of tobacco leaves, exerting a substantial influence on the improvement of their physical and chemical characteristics, and consequently, the quality of the final product. Nevertheless, the prevailing approach to casing accuracy detection is predominantly focused on dosage monitoring, with a paucity of attention being paid to real-time effect evaluation. Current hyperspectral-based detection systems encounter difficulties in extracting trace additive features and managing high-dimensional data under limited sample conditions. A multi-basis continuous wavelet transform (CWT) and machine-learning-integrated framework for non-destructive propylene glycol (PG) content prediction were proposed in this paper, addressing precision limitations in tobacco quality monitoring. The preprocessing of hyperspectral imaging data from six PG concentration levels were undertaken via Savitzky–Golay filtering, followed by multiscale decomposition using three CWT basis functions with morlet, Mexican hat, and Gaussian wavelets. A dual optimization mechanism combining correlation threshold filtering and wavelength frequency statistics was developed to enable efficient feature wavelength selection. Furthermore, a stacking regression model was constructed and compared with standalone algorithms. The results demonstrated that the multiscale combined MMG strategy achieved 79.86% dimensionality reduction by selecting 58 feature wavelengths covering adjacent regions in the near-infrared and short-wave infrared (NIr-SWIr) range, significantly enhancing model generalization compared to full-spectrum inputs. Additionally, the stacking regression model attained optimal performance, with a testing set coefficient of determination of 0.9704, under combined MMG input through synergistic complementarity of heterogeneous base learners, with a root mean square error of 0.3188. It is confirmed in this paper that spec

关键词： deep learning Hyperspectral imaging Machine learning Neural networks Spatial resolution Wavelet transforms

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research on Weight-on-bit Self-adjusting dual-diameter PdC Bit design and Effect Evaluation Utilizing Stress-releasing Effect of rock at Bottomhole

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Arabian Journal for Science and engineering 2021年第7期46卷 6925-6937页

作者： Hu, Huaigang Guan, Zhichuan Wang, Bin Lu, Baoping Chen, Weiqing Xu, Yuqiang Liu, Yongwang CNPC Engineering Technology R&D Company Limited Beijing China China University of Petroleum (East China) Qingdao China Shandong Ultra-Deep Drilling Process Control Tech R&D Center Qingdao China Qingdao Refining and Chemical Co. LTD Qingdao China Sinopec Research Institute of Petroleum Engineering Beijing China King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia

rock-breaking efficiency is not so satisfied using the conventional PdC bit, especially in the hard, soft–hard interbedded, and strong abrasive formations in ultra-deep wells. A method is proposed to make full use of stress-releasing effect at bottomhole, thereby improving the rock-breaking efficiency, and a supporting weight-on-bit (WOB) self-adjusting dual-diameter PdC bit (WSdB) has been invented. The WSdB can dynamically adjust the depth-of-cut control characteristics, which could improve the rate of penetration (rOP) while mitigating the stick–slip vibration caused by the rapid change of depth of cut. The stress field of the rock at the bottomhole is calculated with a numerical method, and the working mechanism of the bit is analyzed. The application effect of the WSdB is evaluated through laboratory tests preliminarily. The results show that the stress concentration area on the shoulder of the reaming bit is decreased obviously and a larger stress unloading area emerges in the intersection between reaming and pilot bit. Thus, mechanical specific energy (MSE) can be greatly reduced when the reaming bit drills into this section. Indoor tests show that the maximum rOP of WSdB can be reached up to 70% higher compared to the conventional PdC bit, and higher rOP could be obtained with a relatively lower bit torque. With drilling parameters greater than the critical revolution and WOB, the reduction in MSE can be reached up to 36% during the rock-breaking process. Making further efforts into the optimization of bit structure to reduce the vibration intensity is expected to achieve more improved bit performance.

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A Novel Assessment Method to Identify the Interaction between Adjacent corrosion defects and its Effect on the Burst Capacity of Pipelines

SSRN

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SSrN 2023年

作者： Zhang, Yi Wang, Wei Shuai, Jian Shuai, Yi Hua, Luoyi Lv, Zhiyang College of Safety and Ocean Engineering China University of Petroleum Beijing102249 China Key Laboratory of Oil and Gas Safety and Emergency Technology Ministry of Emergency Management Beijing102249 China R&D Center of Shanghai Chemical Industry Park Common Corridor Co. LTD China

This work provides a new systematic evaluation method to assess the interaction between adjacent corrosion defects and its effect on the integrity of pipelines. First, a finite element (FE) model of pipelines containing adjacent defects (involves longitudinally, circumferentially aligned and diagonally aligned defects) were developed. Then, the detailed relationships between defect spacing, defect geometry, and the burst pressure of pipelines were investigated. At last, an interaction identification criterion applicable for asymmetrical defects was proposed, and the accuracy and reliability of the criterion was verified by FE simulations. The results show that the arrangement of corrosions affects the interaction effect between adjacent defects. For longitudinally aligned defects and circumferentially aligned defects with different depths, the interaction between defects strengthens nonlinearly with the increases of defect spacing. For diagonally aligned defects and circumferentially aligned defects with the identical depth, the interaction strength tends to firstly decrease and then increase with the increase of defect spacing. The diagonally aligned defects show the strongest interaction effect when their overlapped distance in axial projection equal to the sum of depths of the adjacent defects, followed by longitudinally aligned defects, and the circumferentially aligned defects have the little influence on the failure pressure of the pipeline. © 2023, The Authors. All rights reserved.

关键词： defects

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A Flexible Valve Based Piezoelectric Pump for High Viscosity cooling Liquid Transportation

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Transactions of Nanjing University of Aeronautics and Astronautics 2021年第6期38卷 993-1002页

作者： LI Kai LIU Jiaming ZHANG Quan ZHANG Jianhui HUANG Jun WANG Yuan New Combined Power R&D Center Shaanxi Province Aerospace and Astronautics Propulsion Research Institute Co.Ltd.Xi’an 710003P.R.China Research Center of Fluid Machinery Engineering and Technology Jiangsu UniversityZhenjiang 212013P.R.China School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200072P.R.China College of Mechanical and Electrical Engineering Guangzhou UniversityGuangzhou 510006P.R.China College of Communication Engineering Army Engineering University of PLANanjing 210007P.R.China

A piezoelectric pump with flexible valve has been developed to pump high viscosity cooling liquid in the nanosats thermal control system. The structure of the flexible valve is designed according to the characteristics of the human aortic shape with the aim to simulate the bionic pumping function of the human heart. dynamic stress-strain features of the flexible valve are analyzed by the finite element method,and the results show that the proposed flexible valve is suitable and functional for the piezoelectric pump. Then the cylinder and diffuser/nozzle piezoelectric pumps based on flexible valves have been developed and fabricated. Experimental results of the output performance indicate that the maximum flow rate of the cylinder piezoelectric pump with flexible valve is 15.38 mL/min,170.77% higher than the diffuser/nozzle piezoelectric pump with flexible valve. The ability of the cylinder piezoelectric pump with flexible valve for transmitting high viscosity liquid has been validated. The piezoelectric pump with flexible valve has potential applications in the nanosats thermal control system.

关键词： piezoelectric pump high viscosity liquid flexible valve cut-off performance pumping performance

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