Robot Positioning Based on Multiple Quick Response Code Landmarks

The scheme of robot positioning based on multiple quick response(QR)code landmarks is proposed.Firstly,the pose of the robot relative to the QR code landmarks is obtained by extracting the feature points of the QR code,combined with the visual computing technology.Then,the conversion of the absolute pose of the robot is completed based on the absolute position of the QR code landmark,and thus the real-time position of the robot is obtained.The proposed scheme makes full use of the QR code fault tolerance and multiple QR code landmarks to improve the calculation accuracy.It has good robustness and versatility,and it is easy to implement.It can help the robot to complete the positioning in the actual work,making robot navigation more accurate.

Study on Technologies for Information Monitoring and Quick Response of Agricultural Focuses and Significant Events

This article analyzed the importance of information monitoring and quick response on agricultural focuses and significant events, proposed the workflow and technical framework for information monitoring and quick response based on modern information technologies, and explained key technologies during implementation and the functional structure for prototype system of the technical support platform.

Design of Multi-agent Supply Chain System to Support Quick Response in Textile-Apparel Industry

Owing to the fast growth of global market,textile and apparel industries which are a typical seasonal business are facing crucial challenges from both competitors and consumers.In order to get survived,forming supply chain and utilizing the emerged technology to establish a quick response system become an important common practice for enterprises in terms of cost reduction and efficiency improvement.This paper presents a multi-agent-based integrated framework for quick response in textile and apparel supply chain.By sharing information and collaborating among chain partner,the multi-agent system provides a promising computing paradigm for quick response business processes.A prototype based on the proposed framework is implemented using ZEUS toolkit.It presents how the proposed architecture is being designed to establish collaborative business environment by providing dynamic quick response processes.

Low Distortion Quick Response Noise Filter Realized withAverage Peaks Method

The filter proposed in this paper is expected to reduce noise whose frequency is lower than higher order harmonics of real signals.It is based on the distributive characteristics of noise,and uses analog circuits to select the high peak and low peak of the input signal and applies their average in order to reduce random noise.So it has no cutoff frequency and higher order harmonics of real signals are remained.As a result,it gives an instant response to changes in input signals and retains the integrity of real signals.Furthermore,it has only a small phase delay.The simulation results of slew rate,phase delay and spectral analysis under MULTISIM indicate that the quick response noise filter achieves a high slew rate of 472 V/ms and the phase shift is nearly zero.By having it used in a color tester design,it is also demonstrated that the proposed filter effectively reduces noise and remains signal integrity.With the filter 's help,the relative standard deviation of the spectrograph decreases from 1% to 0.22%,indicating better stability.

Quick Response Disaster Research:Opportunities and Challenges for a New Funding Program

Quick response research conducted by social scientists in the aftermath of a disaster can reveal important findings about hazards and their impacts on communities.Research to collect perishable data,or data that will change or be lost over time,immediately following disaster has been supported for decades by two programs in the United States,amassing a collection of quick response studies and an associated research culture.That culture is currently being challenged to better address power imbalances between researchers and disaster-affected participants.Until recently,Canada has not had a quick response grant program.In order to survey the state of knowledge and draw from it in helping to shape the new program in Canada,this article systematically analyzes the body of research created by the two US programs.The results reveal a wide-ranging literature:the studies are theoretically,conceptually,topically,and methodologically quite unique to one another.This diversity might appropriately reflect the nature of disasters,but the finding that many studies are not building on previous quick response research and other in sights indicate opportunities for how a new grant program in Canada can contribute to growing a robust subdiscipline of disaster research.

Quick Responses of Canadian Social Scientists to COVID-19:A Case Study of the 2020 Federal COVID-19-Specific Grant Recipients

COVID-19 prompted an abundance of independent and collaborative quick response disaster research(QRDR)initiatives globally.The 2020 federal COVID-19-driven granting opportunities initiated the first official QRDR effort in Canadian history,engaging social scientists to rapidly address the pandemic-related societal influences.This study aims to portray the landscape of this nascent social science QRDR workforce through the first round of federal COVID-19-specific grant recipients.A case study approach was employed to analyze 337 social science projects with 1119 associated researchers,examining the demographic structure of these COVID-19-driven social science researchers and their research projects'characteristics.Accordingly,the findings are presented through the following two streams:(1)From a researcher perspective,this case study describes researcher typology,geographic location,primary discipline,and educational background,highlighting the diverse characteristics of social sciences researchers,and uneven research development across Canada.(2)From a research project perspective,this case study identifies and synthesizes research project subjects,themes,collaborations,and Canadian distinctions,emphasizing the need for galvanizing cooperation and focusing on uniquely Canadian contexts.The case study illustrates challenges associated with data curation that pose barriers to developing a nuanced understanding of the Canadian social science community COVID-19 research landscape.Consequently,the case study develops three recommendations to improve QRDR development in Canada:promoting information transparency,dissemination,and updates;improving hazards and disaster research workforce evaluation;and enhancing multi-stakeholder cooperation.

Research on Anti-Counterfeiting Quick Response 2D Barcode Techniques Based on Digital Watermark

In order to increase the watermarking capacity and improve the anti-counterfeiting performance of quick response （QR） two-dimensional （2D） barcode based on digital watermarking technique, this paper proposes a kind of graying algorithm for binary image to make transform domain watermarking methods possible. Based on the graying Mgorithm, the quantizatiombased watermarking scheme in discrete wavelet transform （DWT） domain is then designed. The experiments show that the proposed watermarking scheme for QR 2D barcode greatly improves anti-counterfeiting performance without loss of any barcode information.

一种基于QR码混沌图像加密算法研究

随着资讯传播互联网化的程度越来越深,线上图像资源的版权保护受到越来越多的重视。该文提出了一种基于QR码(Quick response code)的利用Shearlet变换和线性螺旋变换的混沌图像数字水印算法。首先,对预加密图像资源生成版权QR码。其次,用Arnold变换对QR码进行加扰。最后,用Shearlet变换、线性螺旋变换和离散余弦变换将版权水印信息嵌入图像的中频部分,以嵌入水印。提取则是嵌入过程的逆过程。经试验证明,该文提出的方法不仅具有较好的版权信息隐蔽性,而且还有较强的鲁棒性。嵌入的QR码对一定比例的图像遮挡和噪声具有抗攻击能力。

Electrochemical synthesis of FeN_(x) doped carbon quantum dots for sensitive detection of Cu^(2+) ion

A novel strategy was developed to fabricate FeNx-doped carbon quantum dots(Fe-N-CQDs)to detect Cu^(2+) ions selectively as a fluorescence probe.The Fe-N-CQDs were synthesized by an efficient electrolysis of a carbon cloth electrode,which was coated with monoatomic ironanchored nitrogen-doped carbon(Fe-N-C).The obtained Fe-N-CQDs emitted blue fluorescence and possessed a quantum yield(QY)of 7.5%.An extremely wide linear relationship between the Cu^(2+) concentration and the fluorescence intensity was obtained in the range from 100 nmol L^(-1) to 1000 nmol L^(-1)(R^(2)=0.997),and the detection limit was calculated as 59 nmol L^(-1).Moreover,the Fe-N-CQDs demonstrated wide range pH compatibility between 2 and 13 due to the coordination between pyridine nitrogen and Fe^(3+),which dramatically reduced the affection of the protonation and deprotonation process between H^(+) and Fe-N-CQDs.It is notable that the Fe-N-CQDs exhibited a rapid response in Cu^(2+) detection,where stable quenching can be completed in 7 s.The mechanism of excellent selective detection of Cu^(2+) was revealed by energy level simulation that the LUMO level of Fe-N-CQDs(-4.37 eV)was close to the redox potential of Cu^(2+),thus facilitating the electron transport from Fe-N-CQDs to Cu^(2+).

Simultaneous Localization and Mapping System Based on Labels

In this paper a label-based simultaneous localization and mapping（ SLAM） system is proposed to provide localization to indoor autonomous robots. In the system quick response（ QR） codes encoded with serial numbers are utilized as labels. These labels are captured by two webcams,then the distances and angles between the labels and webcams are computed. Motion estimated from the two rear wheel encoders is adjusted by observing QR codes. Our system uses the extended Kalman filter（ EKF） for the back-end state estimation. The number of deployed labels controls the state estimation dimension. The label-based EKF-SLAM system eliminates complicated processes,such as data association and loop closure detection in traditional feature-based visual SLAM systems. Our experiments include software-simulation and robot-platform test in a real environment. Results demonstrate that the system has the capability of correcting accumulated errors of dead reckoning and therefore has the advantage of superior precision.

Integrated management system of agro-fishery products based on QR-code

Recently,both the importance and awareness relating to food safety relating to agrochemicals,chemical fertilizers,the pollution of ecosystem and unwholesome foods are growing rapidly.For the same reason,the purchaser's curiosity increases to know about the production process which can be accomplished by production traceability system.The traceability system can store and superintend the specific attribute information about products regarding the productive centre,producer and production finish data.The products undergo various circulation processes and they are being managed by individually constructed traceability system.Thus,it is difficult for the producer and the consumer to guarantee the safety from transpirable issues about the falsification of production traceability because the traceability information can be re-produced by forging through various ways.So in this paper,we proposed a system for integrated management of agro-fishery products based on quick response code(QR-code)for forgery prevention which may help to solve these issues.The proposed system makes QR-code using production information provided by producer.And then it is provided to the distributor and the consumer through integrated service model using the QR-code.Therefore,this system make sure to provide the same production traceability about the products to the distributor and the consumer and always keeps both updated with the same information.

Research on Recognition Technology of 2-Dimensional Barcode

This paper briefly introduces the characteristics and structure of symbol QR two-dimensional code, a detailed analysis of the image processing method to identify QR code of the whole process, and the bilinear mapping method is applied to image correction, the final steps of decoding are given. The actual test results show that, the design algorithm has theoretical and practical, this recognition system can correctly read QR code, and has high recognition rate and recognition speed, has practical value and application prospect.

可见光到近红外Ⅱ区内宽领域可调发射的芘基共晶

有机材料的可变发光在波导和显示应用方面具有广泛的潜力.然而,基于单一有机分子体系实现从可见光到近红外区域的大范围发光调节仍然是一项挑战.本文介绍了一系列基于芘的同构共晶体,可提供从可见光到近红外Ⅱ区的可调发射.它们的能级是通过引入电荷转移和无氟芳烃-全氟芳烃相互作用而定制的.令人印象深刻的是,这项工作中的有机微晶可以成功地应用于微观层面的多色波导以及宏观层面的二维码显示,为先进的光子学开辟了新的道路.这项工作为获得400至1100 nm的有机晶体提供了一种简单而有效的方法,从而为制造多种光电子学的核心材料提供了可能性.