Deoxyribonucleic acid (DNA) has become an ideal medium for long-term storage and retrieval due to its extremely high density stability. But access efficiency is existing bottleneck in DNA storage, especially the lack of high-quality random address sequences. Therefore, this paper, we report a series approaches based on k-weakly mutually uncorrelated (k-WMU) codes design sequence improve storage. To problem sequences that are poorly scalable at base level, propose 0-m-ruling coding scheme...

In the field of radio frequency identification (RFID), three-dimensional (3D) distribution RFID multi-tag networks has a significant impact on their reading performance. At same time, in order to realize anti-collision practical engineering applications, 3D must be measured. this paper, novel method for measurement is proposed. A dual-CCD system (vertical and horizontal cameras) used obtain images from different angles. Then, wavelet threshold denoising remove noise obtained images. The...

In this paper, a multi-tag optimization method based on image analysis and particle swarm (PSO) neural network is proposed to verify the effect of radio frequency identification (RFID) distribution performance system. A RFID tag detection system with two charge coupled device (CCD). This can automatically focus according its position, so it obtain information more accurately by template matching edge method. Therefore, spatial structure corresponding reading distance be obtained for...

Recently, Mueller matrix polarimetry (MMP) has been widely applied in many aspects, such as radar target decomposition, monitoring the glucose level, tissue diagnostics, biological samples, etc., but it is still challenging for complex light–matter interactions of rough surfaces and non-uniform structures 3D composite materials. In this work, a unitary matrix-based decomposition (UMMMD) proposed non-destructive testing (NDT) unmanned aerial vehicles (UAVs) skin. The model constructed by...

The quality of multi-tag imaging greatly affects the effective detection multi-tag. When moves rapidly, image may have serious dynamic blur, and tags can not be detected efficiently. In previous work, it is generally assumed that blur kernel noise stationary to improve quality. However, deblurring Radio Frequency Identification (RFID) an ill-posed inverse problem. this paper, firstly, blur-sharp pairs are made by superimposing averaging adjoin random frames. Then, we propose blind for RFID...

The three-dimensional (3D) coordinate measurement of radio frequency identification (RFID) multi-tag networks is one the important issues in field RFID, which affects reading performance RFID networks.In this paper, a novel method for 3D multitag proposed.A dual-CCD system (vertical and horizontal cameras) used to obtain images from different angles.The iterative threshold segmentation morphological filtering are process images.The template matching respectively determine two-dimensional...

Multitag sensitivity would be affected by electromagnetic coupling during simultaneous reading. The reading distance of multitag depends on the least and operating power all tags, which is an indicator performance. main purpose this article to optimize performance embedding deep learning, while changes with 3-D geometric structure. Dynamic image deblurring based multiscale convolutional neural network (MCNN) improves restoration ability clarity. Also, tag detection from estimated via YOLOv3...

Abstract In the field of RFID, reading performance tags is an important indicator for measuring tag. Related studies have shown that tags’ geometrical distribution has influence on performance. order to optimize and improve performance, this paper proposes a tag optimization method based multi‐level wavelet‐CNN (MWCNN) extreme learning machine (ELM). First, designs system stereo‐vision. Second, stereo‐cameras are used capture images tags. Aiming at degradation phenomenon in acquired images,...

As a non-contact automatic identification technology, Radio Frequency Identification (RFID) is of great significance to improve the simultaneous multi-target. This paper designs more efficient and accurate multi-tag reading performance measurement system based on fusion YOLOv3 Elman neural network. In machine vision subsystem, images are collected by dual CCD detected network algorithm. The distance 3D distributed measured laser ranging evaluate RFID system. Firstly, YOLOv3, which realizes...

Effective recognition of tags in the dynamic measurement system would significantly improve reading performance tag group, but blurred outline and appearance images captured motion seriously limit effectiveness existing group recognition.Thus, this paper proposes passive environment based on blur estimation improved YOLOv2.Firstly, angles are estimated with a Gabor filter, lengths through nonlinear modelling Generalized Regression Neural Network (GRNN).Secondly, YOLOv2 by Gaussian algorithm...

Since the working efficiency of entire radio frequency identification system depends on performance tag antenna, research and design antenna have received attention, especially for tags applied to special scenes. We mainly studied effect bending ultra-high systems, combined bent with impedance matching loop achieve between chip in band. analyzed variation parameters by simulation software High Frequency Structure Simulator (HFSS). At same time, we propose a novel reverse method. Through...

We propose an improved image matching algorithm that combines the minimum feature value to extract points and direction gradient histogram calculate description vector. This is oriented RFID multi-tag identification distribution optimization in actual scenario, traditional SURF has problems of low accuracy high complexity matching. effectively improves positioning system. The experimental results show success rate this paper 87.4%, which 50% higher than algorithm. Not only greatly improved,...

In RFID multi-tag network, the image of tag needs to be collected. Therefore, research on effect LED array light source capture is proposed. According optical properties LED, radiance illumination expression deduced, and distribution simulated. We choose appropriate arrangement sources analyze collection tags. The results show that design can effectively provide a uniform source. obviously distinguish from background improve quality acquired image.

The ion-exchanged glasses bombarded with 80 eV, 100 and 120 eV argon ions at room temperature are investigated. optical structural properties of before after bombardment were analyzed by means a UV-vis spectrometer, x-ray photoelectron spectroscopy, electron probe micro analysis, respectively. absorption transmittance spectra appear as obvious changes in the UV-visible region bombardment. band about 369-900 nm less sensitive to ion energy than that 200-280 nm. binding shift peak area ratios...

This paper proposes a novel fast NLM algorithm. The integral diagram is introduced to speed up algorithmic processing and the kernel function coefficient changed through improve its performance. denoising effects of three RFID label images collected by system which added gaussian white noise studied. collects analyzes running time, PSNR SSIM various algorithms under different same standard deviations. results verify that proposed algorithm has both high efficiency for applications labels.