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2022 Vol. 44, No. 5
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2022, 44(5): 1513-1520.
doi: 10.11999/JEIT211350
Abstract:
In order to improve the efficiency and accuracy of steel quality images detection and promote the automation level of industry, an improved Res-UNet segmentation algorithm is proposed. ResNet50 is used instead of ResNet18 as the encode module to enha...
In order to improve the efficiency and accuracy of steel quality images detection and promote the automation level of industry, an improved Res-UNet segmentation algorithm is proposed. ResNet50 is used instead of ResNet18 as the encode module to enha...
2022, 44(5): 1521-1529.
doi: 10.11999/JEIT211416
Abstract:
Due to the lack of mature labeled corpus and large-scale injection molding knowledge graphs for defection diagnosis, industrial knowledge graphs are constructed with high cost and low quality. A framework for constructing industrial knowledge graph b...
Due to the lack of mature labeled corpus and large-scale injection molding knowledge graphs for defection diagnosis, industrial knowledge graphs are constructed with high cost and low quality. A framework for constructing industrial knowledge graph b...
2022, 44(5): 1530-1538.
doi: 10.11999/JEIT211174
Abstract:
To solve the problem of the slow speed of the existing light field camera calibration algorithm, which makes it unable to quickly calibrate camera parameter changes in industrial inspection and reduce the efficiency of industrial inspection. A fast c...
To solve the problem of the slow speed of the existing light field camera calibration algorithm, which makes it unable to quickly calibrate camera parameter changes in industrial inspection and reduce the efficiency of industrial inspection. A fast c...
2022, 44(5): 1539-1547.
doi: 10.11999/JEIT211381
Abstract:
As an important carrier of intelligent manufacturing, industrial robot has great potential in large-scale and complex tasks. However, the problem of low positioning accuracy and difficulty to control hinders the further popularization of robots in hi...
As an important carrier of intelligent manufacturing, industrial robot has great potential in large-scale and complex tasks. However, the problem of low positioning accuracy and difficulty to control hinders the further popularization of robots in hi...
Defect Detection for Glass Seal Insulated Terminals Based on Sector Neighborhood Feature Engineering
2022, 44(5): 1548-1553.
doi: 10.11999/JEIT211346
Abstract:
In this paper, an appearance quality inspection method for glass seal insulated terminals is proposed based on feature engineering to replace the current manual inspection. First, the inspecting region in the glass seal insulated terminal image is di...
In this paper, an appearance quality inspection method for glass seal insulated terminals is proposed based on feature engineering to replace the current manual inspection. First, the inspecting region in the glass seal insulated terminal image is di...
2022, 44(5): 1554-1562.
doi: 10.11999/JEIT211378
Abstract:
In view of the previous flexible integrated scheduling algorithms that consider forward scheduling, so that it is necessary to consider the multiply predecessors’ constraints of the target operation, which makes it difficult to arrange rationally the...
In view of the previous flexible integrated scheduling algorithms that consider forward scheduling, so that it is necessary to consider the multiply predecessors’ constraints of the target operation, which makes it difficult to arrange rationally the...
2022, 44(5): 1563-1571.
doi: 10.11999/JEIT211358
Abstract:
In order to solve the problem that there is no real reference of the fabric image in the flexo first item inspection, a coarse-to-fine inspection method of flexo first item is proposed based on electronic samples, which is mainly divided into three s...
In order to solve the problem that there is no real reference of the fabric image in the flexo first item inspection, a coarse-to-fine inspection method of flexo first item is proposed based on electronic samples, which is mainly divided into three s...
2022, 44(5): 1572-1580.
doi: 10.11999/JEIT211455
Abstract:
For the general integrated scheduling problem of tree structured complex single product machining and assembling, a reverse order and greedy integrated scheduling algorithm is proposed by considering dynamic TUD (Time Urgency Degree) of the process s...
For the general integrated scheduling problem of tree structured complex single product machining and assembling, a reverse order and greedy integrated scheduling algorithm is proposed by considering dynamic TUD (Time Urgency Degree) of the process s...
2022, 44(5): 1581-1590.
doi: 10.11999/JEIT211414
Abstract:
Automatic monitoring of product quality has always been the core of intelligent development of injection molding industry. Practical factors like high cost of data collection, small sizes of sample and unbalanced sample categories require higher chal...
Automatic monitoring of product quality has always been the core of intelligent development of injection molding industry. Practical factors like high cost of data collection, small sizes of sample and unbalanced sample categories require higher chal...
2022, 44(5): 1591-1601.
doi: 10.11999/JEIT211000
Abstract:
Focusing on the robot grasping problem of point cloud targets in complex scenes with weak texture and scattered placement, a 6D pose estimation deep learning network is proposed. First, the complex scenes of the physical environment are simulated, wh...
Focusing on the robot grasping problem of point cloud targets in complex scenes with weak texture and scattered placement, a 6D pose estimation deep learning network is proposed. First, the complex scenes of the physical environment are simulated, wh...
2022, 44(5): 1602-1609.
doi: 10.11999/JEIT211434
Abstract:
Defect detection is an important part of intelligent manufacturing system. When traditional machine learning algorithms are used for defect classification, data noise interference is usually encountered, which reduces the algorithm’s prediction accur...
Defect detection is an important part of intelligent manufacturing system. When traditional machine learning algorithms are used for defect classification, data noise interference is usually encountered, which reduces the algorithm’s prediction accur...
2022, 44(5): 1610-1616.
doi: 10.11999/JEIT210857
Abstract:
For Hammerstein nonlinear time-varying systems running repeatedly on finite intervals, a weighted iterative learning algorithm is proposed to estimate the time-varying parameters involved in the system dynamics. The nonlinear input part of the Hammer...
For Hammerstein nonlinear time-varying systems running repeatedly on finite intervals, a weighted iterative learning algorithm is proposed to estimate the time-varying parameters involved in the system dynamics. The nonlinear input part of the Hammer...
2022, 44(5): 1617-1624.
doi: 10.11999/JEIT211246
Abstract:
In the process of reflow soldering, void defects inevitably emerge inside solder joints of chip resistors, which will influence reliability of the device. In this paper, an adaptive inspection method for void defects inside solder joints of chip resi...
In the process of reflow soldering, void defects inevitably emerge inside solder joints of chip resistors, which will influence reliability of the device. In this paper, an adaptive inspection method for void defects inside solder joints of chip resi...
2022, 44(5): 1625-1635.
doi: 10.11999/JEIT211366
Abstract:
In order to solve the problem that scheduling gaps between processes on equipment with many processes will have important influence on scheduling results in the integrated scheduling research of multi-variety and small batch complex products, a resou...
In order to solve the problem that scheduling gaps between processes on equipment with many processes will have important influence on scheduling results in the integrated scheduling research of multi-variety and small batch complex products, a resou...
2022, 44(5): 1636-1642.
doi: 10.11999/JEIT210870
Abstract:
The slight aesthetic defects of polarizing films can hardly image and are difficult to detect. A novel method of detecting the slight defects based on polarization imaging is proposed in this paper. The mechanism of contrast enhancement is described ...
The slight aesthetic defects of polarizing films can hardly image and are difficult to detect. A novel method of detecting the slight defects based on polarization imaging is proposed in this paper. The mechanism of contrast enhancement is described ...
2022, 44(5): 1643-1652.
doi: 10.11999/JEIT210784
Abstract:
A medical image segmentation network with boundary enhancement, named as the AS-UNet (Add-and-Subtract UNet), is proposed to solve the problems of traditional segmentation networks for medical images, such as unclear boundary segmentation and large m...
A medical image segmentation network with boundary enhancement, named as the AS-UNet (Add-and-Subtract UNet), is proposed to solve the problems of traditional segmentation networks for medical images, such as unclear boundary segmentation and large m...
2022, 44(5): 1653-1663.
doi: 10.11999/JEIT211394
Abstract:
There are restrictions on the use time of equipment in self-owned processing enterprises. This limitation makes the product impossible to complete within the due date of the integrated scheduling problem. To solve this problem, Integrated scheduling ...
There are restrictions on the use time of equipment in self-owned processing enterprises. This limitation makes the product impossible to complete within the due date of the integrated scheduling problem. To solve this problem, Integrated scheduling ...
2022, 44(5): 1664-1673.
doi: 10.11999/JEIT211419
Abstract:
In the process of injection molding, the injection speed control is one of the important aspects, and it is important to achieve fast and reliable optimal control of the injection speed for the efficient production of injection molded products. In th...
In the process of injection molding, the injection speed control is one of the important aspects, and it is important to achieve fast and reliable optimal control of the injection speed for the efficient production of injection molded products. In th...
2022, 44(5): 1674-1682.
doi: 10.11999/JEIT210298
Abstract:
Although deep learning-based methods show their superiority in the field of single image deblurring, it is difficult to be applied to practice for requiring more computing resources and memory consumption as network deepens. In this work, a lightweig...
Although deep learning-based methods show their superiority in the field of single image deblurring, it is difficult to be applied to practice for requiring more computing resources and memory consumption as network deepens. In this work, a lightweig...
2022, 44(5): 1683-1693.
doi: 10.11999/JEIT210247
Abstract:
Liver tumor segmentation from abdominal CT image is an important prerequisite for liver disease diagnosis, surgical planning, and radiation therapy. However, the segmentation remains a challenging problem since the tumors in CT images generally have ...
Liver tumor segmentation from abdominal CT image is an important prerequisite for liver disease diagnosis, surgical planning, and radiation therapy. However, the segmentation remains a challenging problem since the tumors in CT images generally have ...
2022, 44(5): 1694-1703.
doi: 10.11999/JEIT210389
Abstract:
Change detection in high resolution remote sensing images is the key to understanding of land surface changes. Change detection of remote sensing images is an important branch of remote sensing image processing. Many existing change detection methods...
Change detection in high resolution remote sensing images is the key to understanding of land surface changes. Change detection of remote sensing images is an important branch of remote sensing image processing. Many existing change detection methods...
2022, 44(5): 1704-1713.
doi: 10.11999/JEIT210232
Abstract:
When the standard Nonnegative Matrix Factorization (NMF) is applied to hyperspectral unmixing, it is easy to be interfered by noise and outliers, and the unmixing effect is poor. In order to improve the factorized performance, the L21 norm is introdu...
When the standard Nonnegative Matrix Factorization (NMF) is applied to hyperspectral unmixing, it is easy to be interfered by noise and outliers, and the unmixing effect is poor. In order to improve the factorized performance, the L21 norm is introdu...
2022, 44(5): 1714-1722.
doi: 10.11999/JEIT210296
Abstract:
The application of Siamese network to visual object tracking has greatly improved the performance of the tracker recently, which can take both accuracy and speed into account. However, the accuracy of Siamese network tracker is limited to a great ext...
The application of Siamese network to visual object tracking has greatly improved the performance of the tracker recently, which can take both accuracy and speed into account. However, the accuracy of Siamese network tracker is limited to a great ext...
2022, 44(5): 1723-1733.
doi: 10.11999/JEIT210230
Abstract:
At present, the study of knowledge graph focuses mainly on information retrieval, natural language understanding and other fields. Integrating knowledge graph with recommendation system has been concerned by scholars in the field. In order to mine th...
At present, the study of knowledge graph focuses mainly on information retrieval, natural language understanding and other fields. Integrating knowledge graph with recommendation system has been concerned by scholars in the field. In order to mine th...
2022, 44(5): 1734-1742.
doi: 10.11999/JEIT210220
Abstract:
In order to solve the problem of low accuracy and low efficiency of car loudspeakers sound field correction, a correction method of adaptive asymmetric parallel graphic equalizer without overlapping frequency bands is proposed in this paper. In the c...
In order to solve the problem of low accuracy and low efficiency of car loudspeakers sound field correction, a correction method of adaptive asymmetric parallel graphic equalizer without overlapping frequency bands is proposed in this paper. In the c...
2022, 44(5): 1743-1753.
doi: 10.11999/JEIT210313
Abstract:
To address the problem that Simultaneous Location And Mapping (SLAM) closed-loop detection algorithms are easily disturbed by complex environmental factors, resulting in large localization errors and low closed-loop detection accuracy, a bionic SLAM ...
To address the problem that Simultaneous Location And Mapping (SLAM) closed-loop detection algorithms are easily disturbed by complex environmental factors, resulting in large localization errors and low closed-loop detection accuracy, a bionic SLAM ...
2022, 44(5): 1754-1762.
doi: 10.11999/JEIT210270
Abstract:
In order to enhance the security of image data transmission, a novel two-dimensional exponent - cosine chaotic map is proposed. In this system, a new chaotic map is constructed by introducing exponent and high-power nonlinear terms into one dimension...
In order to enhance the security of image data transmission, a novel two-dimensional exponent - cosine chaotic map is proposed. In this system, a new chaotic map is constructed by introducing exponent and high-power nonlinear terms into one dimension...
2022, 44(5): 1763-1772.
doi: 10.11999/JEIT210289
Abstract:
Incremental search services in search engines update the suggestion list for users by sending real-time requests. Focusing on the information leakage of encrypted search traffic, a side-channel analysis method on Chinese search is proposed. Leveragin...
Incremental search services in search engines update the suggestion list for users by sending real-time requests. Focusing on the information leakage of encrypted search traffic, a side-channel analysis method on Chinese search is proposed. Leveragin...
2022, 44(5): 1773-1781.
doi: 10.11999/JEIT210276
Abstract:
Gradient redundancy exists in the process of deep neural network gradient descent. When differential privacy mechanism is applied to resist member inference attack, excessive noise will be introduced. So, the gradient matrix is decomposed by Funk-SVD...
Gradient redundancy exists in the process of deep neural network gradient descent. When differential privacy mechanism is applied to resist member inference attack, excessive noise will be introduced. So, the gradient matrix is decomposed by Funk-SVD...
2022, 44(5): 1782-1791.
doi: 10.11999/JEIT210280
Abstract:
The existing image information hiding methods based on Deep Convolutional Neural Networks (DCNN) have the problems of poor image visual quality and low hiding capacity. Addressing such issues, an image hiding method based on a two-channel deep convol...
The existing image information hiding methods based on Deep Convolutional Neural Networks (DCNN) have the problems of poor image visual quality and low hiding capacity. Addressing such issues, an image hiding method based on a two-channel deep convol...
2022, 44(5): 1792-1799.
doi: 10.11999/JEIT210239
Abstract:
The Internet of vehicles application scenarios put forward higher requirements for wireless communication in terms of bandwidth, delay, and reliability, especially in the Vehicle to Vehicle (V2V) communication scenario. For the technical challenges o...
The Internet of vehicles application scenarios put forward higher requirements for wireless communication in terms of bandwidth, delay, and reliability, especially in the Vehicle to Vehicle (V2V) communication scenario. For the technical challenges o...
2022, 44(5): 1800-1808.
doi: 10.11999/JEIT210590
Abstract:
With the arrival of the Internet of Things (IoT) era, the problem of wireless network saturation has become more and more serious. In order to overcome this problem, the IEEE Standards Association (IEEE-SA) has formulated the latest standard for wire...
With the arrival of the Internet of Things (IoT) era, the problem of wireless network saturation has become more and more serious. In order to overcome this problem, the IEEE Standards Association (IEEE-SA) has formulated the latest standard for wire...
2022, 44(5): 1809-1818.
doi: 10.11999/JEIT210209
Abstract:
The security performance of Multiple-Input Single-Output (MISO) system with the aid of the Intelligent Reflecting Surface (IRS) is analyzed in this paper, where eavesdropping nodes are randomly distributed. The stochastic geometry theory is utilized ...
The security performance of Multiple-Input Single-Output (MISO) system with the aid of the Intelligent Reflecting Surface (IRS) is analyzed in this paper, where eavesdropping nodes are randomly distributed. The stochastic geometry theory is utilized ...
2022, 44(5): 1819-1827.
doi: 10.11999/JEIT210267
Abstract:
To investigate the in-body transmission mechanism and propose a comprehensive channel model at Human Body Communication (HBC) band, two types of human body model, that is, an anatomical numerical human model and a multi-layer heterogeneous geometric ...
To investigate the in-body transmission mechanism and propose a comprehensive channel model at Human Body Communication (HBC) band, two types of human body model, that is, an anatomical numerical human model and a multi-layer heterogeneous geometric ...
2022, 44(5): 1828-1838.
doi: 10.11999/JEIT210263
Abstract:
To improve further the information transmission rate and Bit Error Rate (BER) performance of existing multi-user chaos keying systems, an Orthogonal Multi-User Correlation Delay Differential Chaos Shift Keying (OMU-CD-DCSK) system is proposed in this...
To improve further the information transmission rate and Bit Error Rate (BER) performance of existing multi-user chaos keying systems, an Orthogonal Multi-User Correlation Delay Differential Chaos Shift Keying (OMU-CD-DCSK) system is proposed in this...
2022, 44(5): 1839-1846.
doi: 10.11999/JEIT210228
Abstract:
For a wireless powered MEC (Mobile Edge Computing) network, the execution delay as the time for data offloading and data execution is defined, and a multidimensional resource allocation scheme is proposed to minimize the execution delay of all nodes....
For a wireless powered MEC (Mobile Edge Computing) network, the execution delay as the time for data offloading and data execution is defined, and a multidimensional resource allocation scheme is proposed to minimize the execution delay of all nodes....
2022, 44(5): 1847-1855.
doi: 10.11999/JEIT210204
Abstract:
In beam space millimeter-wave massive Multi-Input Multi-Output (MIMO) system, the power leakage problem will lead to energy loss. To mitigate this problem, Minimum Phase Error based Beam Rotating (MPE-BR) precoding scheme is proposed. Firstly, the ph...
In beam space millimeter-wave massive Multi-Input Multi-Output (MIMO) system, the power leakage problem will lead to energy loss. To mitigate this problem, Minimum Phase Error based Beam Rotating (MPE-BR) precoding scheme is proposed. Firstly, the ph...
2022, 44(5): 1856-1864.
doi: 10.11999/JEIT210269
Abstract:
To improve the angle estimation performance of the MIMO (Multiple-Input-Multiple-Output) radar, the optimization of the transmit weighting matrix by setting the 2-norm error between the actual synthesized transmitting steering vector and the desired ...
To improve the angle estimation performance of the MIMO (Multiple-Input-Multiple-Output) radar, the optimization of the transmit weighting matrix by setting the 2-norm error between the actual synthesized transmitting steering vector and the desired ...
2022, 44(5): 1865-1878.
doi: 10.11999/JEIT210932
Abstract:
Deep learning model facing the non-independent and identically distributed data streams, the old knowledge will be covered by new knowledge, resulting in a significant performance degradation of model. Continuous Learning(CL) can acquire incremental ...
Deep learning model facing the non-independent and identically distributed data streams, the old knowledge will be covered by new knowledge, resulting in a significant performance degradation of model. Continuous Learning(CL) can acquire incremental ...
