QR Code Information Research Articles

Study on Improvement Plan of Emergency Medical Services Through Information Use on QR Code

The purpose of the study was to diagnose the subjectivity of university students of emergency medical technology (paramedicine) and identify the effects and factors related to each type of QR code. A total of 23 students of paramedicine (emergency medical technology) department filled out the questionnaire after an informed consent. Q survey included 25 statements. Data were analyzed using QUANL program for PC. There were three types in QR code. Type 1(N= 11) : Effective recognition of information type Type 2(N=8) : Information related emergency recognition type Type 3(N=4) : Emergency-patient information application type Each type had its own differences and characteristics. The analyzed contents showed that there was an overall interconnection among the respondents on how to improve emergency services by use of QR code information.

Smart ATM Using QR

Nowadays, dependency on banking in the virtual world has been increased to the peak position. To make it consistent advanced technologies should be used. As OTP is currently used worldwide for security purposes, it can be overruled by QR code. Main advantage of QR code over OTP data storage.OTP can only confirm that the user is authorised user and not some third party is involved in this transaction while QR code not only confirms the authorised user but QR code itself can store information such as transaction id, transaction date, time and also amount of transaction. So, there is no need of explicitly keeping track of transaction every transaction. Aim of this paper to enhance the functionality of ATM machine using android application. Proposed system is combining the ATM and mobile banking and minimizes the time of withdrawing cash from ATM. This will increase the speed of transaction almost three times fast; could have excellent impact on customer’s satisfaction. With the help of QR code information get encrypted so it also increases security. As the population increasing ATM queues will be longer day by day. By implementing proposed system current Keywords—QRcode, Cash withdrawal,, Smart Application

A Cross-Sectional Descriptive Study: Proportion of Authenticity and Complete Product Information of FarmaTag Hologram on Registered Pharmaceutical Products among Selected Mainstream Medicines’ Sellers in the State of Sabah (ProvoS)

FarmaTag Hologram is a two-dimensional QR code sticker that is required on all registered pharmaceutical products (RPP) in Malaysia. By scanning the QR code, the authenticity and product information of the hologram are displayed. However, FarmaTag holograms with incomplete product information may be susceptible to being misused by manufacturers/distributors/suppliers (MDS) for different pharmaceutical products, unregistered pharmaceutical products, or counterfeit products. In addition to misusing, these callous acts may lead to consumer distrust, doubt, and a lack of confidence in the authenticity of RPP. A cross-sectional descriptive study was conducted among Selected Mainstream Medicines’ Sellers in the State of Sabah between January 2022 and September 2022 to evaluate the proportion of authenticity and complete product information of FarmaTag Hologram on registered pharmaceutical products (RPP) available among selected Mainstream Medicines’ Sellers (MMS) in the state of Sabah. The total sample size was 5048 registered pharmaceutical products. There was no formal sample size calculation performed because this was the first study to explore this topic. All samples being selected from MMS were authentic (100%), which included 31.7% (n = 1600) from private medical clinics, 18.8% (n = 948), from retail pharmacies, and 49.5% (n = 2500) from Non-Pharmacy Drug Stores (NPDS). However, only 268 (5.3%) samples were found to have complete product information. The findings of this study provide preliminary information to relevant authorities on the authenticity and complete product information of FarmaTag Hologram on registered pharmaceutical products among selected MMS in the state of Sabah.

Highly Thermally Conductive Aramid Nanofiber Composite Films with Synchronous Visible/Infrared Camouflages and Information Encryption

AbstractThe development of highly thermally conductive composites that combine visible light/infrared camouflage and information encryption has been endowed with great significance in facilitating the application of 5G communication technology in military fields. This work uses aramid nanofibers (ANF) as the matrix, hetero‐structured silver nanowires@boron nitride nanosheets (AgNWs@BNNS) prepared by in situ growth as fillers, which are combined to fabricate sandwich structured thermally conductive and electrically insulating (BNNS/ANF)‐(AgNWs@BNNS)‐(BNNS/ANF) (denoted as BAB) composite films by “filtration self‐assembly, air spraying, and hot‐pressing” method. When the mass ratio of AgNWs@BNNS to BNNS is 1 : 1 and the total mass fraction is 50 wt %, BAB composite film has the maximum in‐plane thermal conductivity coefficient (λ∥ of 10.36 W/(m ⋅ K)), excellent electrical insulation (breakdown strength and volume resistivity of 41.5 kV/mm and 1.21×1015 Ω ⋅ cm, respectively) and mechanical properties (tensile strength of 170.9 MPa). 50 wt % BAB composite film could efficiently reduce the equilibrium temperature of the central processing unit (CPU) working at full power, resulting in 7.0 °C lower than that of the CPU solely integrated with ANF directly. In addition, BAB composite film boasts adaptive visible light/infrared dual camouflage properties on cement roads and jungle environments, as well as the function of fast encryption of QR code information within 24 seconds.

Highly Thermally Conductive Aramid Nanofiber Composite Films with Synchronous Visible/Infrared Camouflages and Information Encryption.

The development of highly thermally conductive composites that combine visible light/infrared camouflage and information encryption has been endowed with great significance in facilitating the application of 5G communication technology in military fields. This work uses aramid nanofibers (ANF) as the matrix, hetero-structured silver nanowires@boron nitride nanosheets (AgNWs@BNNS) prepared by in situ growth as fillers, which are combined to fabricate sandwich structured thermally conductive and electrically insulating (BNNS/ANF)-(AgNWs@BNNS)-(BNNS/ANF) (denoted as BAB) composite films by "filtration self-assembly, air spraying, and hot-pressing" method. When the mass ratio of AgNWs@BNNS to BNNS is 1 : 1 and the total mass fraction is 50 wt %, BAB composite film has the maximum in-plane thermal conductivity coefficient (λ∥ of 10.36 W/(m ⋅ K)), excellent electrical insulation (breakdown strength and volume resistivity of 41.5 kV/mm and 1.21×1015 Ω ⋅ cm, respectively) and mechanical properties (tensile strength of 170.9 MPa). 50 wt % BAB composite film could efficiently reduce the equilibrium temperature of the central processing unit (CPU) working at full power, resulting in 7.0 °C lower than that of the CPU solely integrated with ANF directly. In addition, BAB composite film boasts adaptive visible light/infrared dual camouflage properties on cement roads and jungle environments, as well as the function of fast encryption of QR code information within 24 seconds.

Application and Research on Improved Adaptive Monte Carlo Localization Algorithm for Automatic Guided Vehicle Fusion with QR Code Navigation

SLAM (simultaneous localization and mapping) technology incorporating QR code navigation has been widely used in the mobile robotics industry. However, the particle kidnapping problem, positioning accuracy, and navigation time are still urgent issues to be solved. In this paper, a SLAM fused QR code navigation method is proposed and an improved adaptive Monte Carlo positioning algorithm is used to fuse the QR code information. Firstly, the generation and resampling methods of initialized particle swarms are improved to improve the robustness and weights of the swarms and to avoid the kidnapping problem. Secondly, the Gmapping scan data and the data generated by the improved AMCL algorithm are fused using the extended Kalman filter to improve the accuracy and stability of the state estimation. Finally, in terms of the positioning system, Gmapping is used to obtain QR code data as marker positions on static maps, and the improved adaptive Monte Carlo localization particle positioning algorithm is matched with a library of QR code templates, which corrects for offset distances and achieves precise point-to-point positioning under grey-valued raster maps. The experimental results show that the particles encountered with kidnapping can be quickly adjusted in position, with a 68.73% improvement in adjustment time, 64.27% improvement in navigation and positioning accuracy, and 42.81% reduction in positioning time.

Retracted: Design of Accurate Association System of QR Code Information for Cigarette Sorting

Retracted: Design of Accurate Association System of QR Code Information for Cigarette Sorting

INTEGRATION OF QR-CODE AND WEB-BASED APPLICATIONS FOR DEVELOPING DIGITAL TOURISM IN IBOIH VILLAGE, INDONESIA AS A LESSON LEARNED MEDIA ON THE VOLCANIC ISLAND

The Great Sumatran Fault activity on Sumatra Island has presented a series of volcanoes and geological landscapes that can be developed as geo-tourism potential, such as in Iboih. The Weh Island has many natural tourism potentials that can be used to improve the community's income directly and as lessons learned for the dangers of living in a volcanic environment. The conventional method of delivering information is through a guide to visitors. This is very limited to the guide's ability to explain the phenomenon of tourist sites and the relation to lessons learned. In this study, we use the integration of QR-Code and web-based technology to develop a digital tourism system that can provide unlimited information to visitors and can be managed efficiently by the public. The data analysis shows that a QR code information board integrated with a web-based programming system can be used to monitor the number of monthly visitors at each tourism site. In addition, the java-script integration on the QR code board can present information that can be changed through links, images or videos without reprinting the QR-code model. Furthermore, we also present important locations from Iboih Village in the form of Web-GIS, such as tourist locations, road access, public infrastructure and food locations that tourists can easily access. Based on the research, we conclude that integrating QR-code and web-based programming can be an effective tool in tourism development as a medium for lessons learned by the community.

A robust VC scheme for securing cloud data storage

Visual Cryptography (VC) was created to encode images into several shares and decode them by aggregating the shares without the use of costly standard cryptanalysis. To enhance the quality and security of visual images in cloud storage, a Robust Collusion Avoidance-based Secure Signific VC (RCA-SSVC) scheme was designed, which creates the collusion-resistance Secret Image (SI) shares and embeds them into the Cover Image (CI) to prevent collusion threats. But it takes a long-time during access for users to recover the real image whenever receiving fake shares kept in the cloud by unauthorized users. Therefore, in this article, a new 2-level data protection scheme is proposed using QR code and RCA-SSVC. In this scheme, the public and private information of users are taken as QR code, which is encoded into sub-pixel blocks of all shares during the share creation phase. Also, a random permutation is applied to the created shares to disrupt the sub-pixels in a single block, which can avoid attackers from guessing the location of the Secret QR (SQR) code’s pixels. During the image restoration step, the restoration process is initiated once the user identity is authenticated by reading QR code information, which is matched with the QR code embedded in the shares. So, image restoration using illegitimate shares during access is prevented. At last, the test outcomes reveal that the RCA-SSVC-QR establishes maximum confidentiality in image access from the cloud storage compared to the classical VC schemes.

The relative impact of QR codes on omnichannel customer experience and purchase intention

This study explores the relative impact of quick response (QR) codes in an omnichannel customer situation. A conjoint experiment was conducted where participants (n=53) assigned scores to stimuli cards according to experience and purchase intention in a shopping scenario. The main finding from the conjoint analysis showed that creating a positive experience does not necessarily require highly digitalized and personalized QR-code information and features. However, a balance is needed as it was discovered that the opposite was evident for purchase intention. Retailers and researchers must therefore be aware that there might be differences in what type of QR-code information and features create experiential value and what triggers purchase intention. These findings highlight the complexities of the customer experience (CX) and suggest that it is important to carefully consider the purpose for which QR codes are implemented.

Design of Accurate Association System of QR Code Information for Cigarette Sorting

This study employs the EIQ analysis approach to quantitatively examine the real order data of the cigarette distribution center in an effort to further increase the efficiency of cigarette sorting and distribution. To further increase the accuracy and efficiency of sorting labor, a sorting system based on QR code information and an accurate identification algorithm is proposed with the use of statistical data and the associated planning scheme. According to the system simulation findings, the sorting efficiency of the system’s sorting line is 18570 pieces per hour. However, by adding packing equipment, the efficiency of the system can be raised by 61.55 percent and can reach 30000 pieces per hour. Additionally, it confirms the viability of the system design. The two-dimensional code’ properties determine which global threshold method the binarization algorithm chooses. The two-dimensional code’ coding principle is investigated, and a two-dimensional code decoding algorithm is developed. The results of the experiment indicate that the decoding algorithm can fulfill these requirements.

A Deep Learning-based Accurate Drug Detection, Identification and Confirmation Mechanism for Medication Dispensing Package of Inpatients

In this study, a deep learning based accurate drug detection, identification and confirmation mechanism (DLADDICM) for medication dispensing package is proposed for inpatients. In this proposed DLADDICM, a medication dispensing package with a printed QR code is photo taken and drugs in the image are detected and identified using a deep learning object detection algorithm, namely You Only Look Once (YOLO). The QR code information is deciphered and compared with the detected drugs to confirm the correctness of the medication dispensing. If there are mismatch situation(s), the computer with the proposed DLADDICM will generate different warning sound in responding to different incorrect situations. A data set with 30 drugs form the National Library of Medicine of NIH, USA is used for testing the DLADDICM using the object tracking and detection deep learning algorithm YOLOv3. Experimental results shown that the DLADDICM can detect and identify the incorrect drugs and generate the appropriate warning sound for the incorrect drug in pharma package for further human inspection. The experimental results also exhibits that by using the AI-enabled mechanism an accurate, safer, healthier with precision medication environment for the medical industries could also be achieved.

Halloysite nanotube-based self-healing fluorescence hydrogels in fabricating 3D cube containing UV-sensitive QR code information

With the evolution of information technology, the development of smart materials for the information storage and encryption is in urgent need. Herein, halloysite nanotubes (HNTs)-based self-healing hydrogels were facilely prepared by using aryl arylboronic acid-bearing tetraphenylethylene (TPE) as crosslinker agent, in which the HNTs were covalently bonded into the polymeric matrix. With the addition of HNTs, the obtained hydrogel (H2) shows improved compression resistance performance and self-healing property, which can be customed in certain shapes. The TPE-crosslinked hydrogels (H1 and H2) are able to emit bright blue fluorescence centering at 457 nm when exposed to 365 nm light. By holding together with 1,4-phenylenebisboronic acid-crosslinked hydrogels (H3) with non-fluorescence property, the obtained cube is able to store UV-sensitive QR code information which is potentially to be recognized by QR code scanner or other smart tools.

Room and Laboratory Equipment Lending Based On Smartphone Application Using QR Code Technology

The main problem in this research is dependency lab activities on the presence of a technician and complicated administrative process which take five procedure stages of lending at D3 and D4 Electronic Engineering polban. This research aims to create an equipment that is able to eliminate the dependency of the presence of technician, and to reduce the complicated administrative process. The QR code technology is the method used in this research to control the opening of lab doors and equipment cupboards by scanning the QR code with a mobile application. The result of this research show that the procedure borrowing of equipment facilities can be shortened from five procedurals to three procedurals. The QR Code information is able open the door of the room and laboratory cabinets by inputing password that been set at the database and able to borrow equipment that is integrated with the automatic recording of borrowing equipment.

MOBILE ATM USING ANDROID APPLICATION

Nowadays, dependency on banking in the virtual world has been increased to the peak position. To make it consistent advanced technologies should be used. As OTP is currently used worldwide for security purposes, it can be overruled by QR code. Main advantage of QR code over OTP data storage. OTP can only confirm that the user is authorized user and not some third party is involved in this transaction while QR code not only confirms the authorized user but QR code itself can store information such as transaction id, transaction date, time and also amount of transaction. So, there is no need of explicitly keeping track of transaction every transaction. Aim of this paper to enhance the functionality of ATM machine using android application. Proposed system is combining the ATM and mobile banking and minimizes the time of withdrawing cash from ATM. This will increase the speed of transaction almost three times fast; could have excellent impact on customer’s satisfaction. With the help of QR code information get encrypted so it also increases security. As the population increasing ATM queues will be longer day by day. By implementing proposed system current system will not hampered, by doing some minor changes in existing system it will be possible to get cash within seconds. According to analyst report, cost of transaction using mobile application i almost ten times less than ATM and about fifty times less, if physical bank branch used.

Implementation of Cryptographic Algorithm in Dynamic QR Code Payment System and Its Performance

QR code payment plays an indispensable role in the mobile payment market, and the security of scanning codes has always been a problem in the field of information security. Static QR codes are easily copied and replaced, and there are huge security loopholes. The QR code payment in a closed system still faces security challenges. In order to solve the security problem of QR code payment, we have studied dynamic QR code payment system that supports SM2, SM3, and SM4 cryptographic algorithms, which can realize QR code scanning and scanned transactions, UnionPay cloud QuickPass transactions, etc., and generate dynamic QR code information in real time during the transaction process, one order and one code. Through dynamic algorithm distribution, the randomness and uniqueness of QR code generation are guaranteed, and it is suitable for multi-scene application transactions. The algorithm correctness test result shows that the system has achieved the expected effect. The performance test results show that the hardware of the security module implements the algorithm flow and improves the payment performance. Compared with some other algorithms, the processing time is shorter, the running speed is faster, and the system is more secure.

A Simultaneous Face and QR-code Collation System Using High-speed Active Vision

We develop a two-factor collation system that can simultaneously authenticate face and QR-code information by tracking them into magnified images with high-speed pan-tilt zooming. It consists of an ultrafast mirror-drive telephoto pan-tilt camera to obtain zoom-in images around a human face and hands for precise authentication and a wide-view camera for human pose estimation. Its effectiveness was verified by showing simultaneous collation results when a person had a smart phone displaying a QR-code at 5 m distance from the camera system.

Design and Implement of Pets Management System using Mobile Phone

Products for companion animal management system using smart phone are rapidly expanding as the pet animal industry grows globally. In this paper, we tried to broaden the application by integrating various contents about companion animals. We aim to apply various contents related to companion animals such as information management, schedule, health care, QR code, SNS, shopping, and location information service to the application. As a result of this research, we found that the new synergy effect was achieved through the integration between the contents, and the application field of the contents was widened due to the increased connectivity. In this study, we have developed a synergy effect through the integration of various contents by adding various contents related to companion animals and studied the necessary parts to expand the application field by increasing the interaction and connection between functions. Improvements and differentiations include comprehensive content management and comprehensive information management and sharing through QR CODE SYSTEM. As a result of the production and execution of this PET-IN, the interactions between the respective contents smoothly complemented the disadvantages and the advantage was maximized. In addition, by creating synergy effect of new effects, various functions can be applied more than other applications, and it is wider and more efficient in function. The user's feedback is reflected, and more content is added to further expand the function and efficient linkage can lead to the user's use of the application and the high effect of the function linkage can lead to the satisfaction of the user. This implies that comprehensive content composition is required for companion applications and may be important data for composing contents of companion animal applications in the future.

Development and parameter optimization of automatic separation and identification equipment for grain tracing systems based on grain tracers with QR codes

It is difficult to trace grains to their original harvest because doing so requires unique and accurate grain labels, which are mixed when handled in massive quantities and derived from different origins. Food-grade grain tracers have been developed as an identification technology for tracing from original harvest to final destination. To implement online production operation for food-grade grain tracers by QR code scanning and information recording, automatic separation and identification equipment was designed in three parts: vibration screen separation, transmission and recognition assembly and host computer software for traceability. Improvements in the recognition rate, wear rate and screening rate of the equipment in the grain tracing system was achieved based on a Box–Behnken design (BBD) using response surface methodology (RSM). Four factors that affect the working parameters (i.e., vibration frequency, screen angle, tracer density and conveyor speed) were selected, and their value ranges were confirmed. The following optimal working parameters were obtained: a vibration frequency of 40.13 Hz, a screen angle of 5.00°, a tracer density of 5 tracers per 1.5 kg wheat and a conveyor speed of 0.15 m/s. Test results show that the automatic separation and identification equipment is practical for grain tracing systems. The experimental values of the recognition rate and screening rate under optimized conditions were similar to the predicted values, which confirmed the validity of the models. The advantage of this equipment is that it represents an online approach for separating and identifying tracers that would not require production interruptions or manual recognition. Therefore, this automatic separation and identification equipment holds a certain significance for the design and development of grain tracing systems, possibly providing a basis for the implementation and further research of other food traceability systems.

Optimization of QR code readability in movement state using response surface methodology for implementing continuous chain traceability

Logistics and storage is the main processing for agro-food supply chain. Because of disconnection information between the two processing, it is difficult to trace continuously. An intelligent conveyer belt provides an effective method to associate storage and logistics by QR code scanning and information recording. Improving the QR code readability in movement state is the core of implementing continuous chain traceability with this belt. In this paper, a intelligent conveyer belt including automatic conveyer unit, barcode scanning unit, fault remove unit and control display unit was designed. Four factors affected QR readability were selected and the value range was confirmed, which was reading distance, code size, coded characters and belt moving speed. Based on the belt, an Central Composite Inscribed (CCI) experiment of four factors with five levels was designed using Response Surface Methodology (RSM) to obtain the optimal reading parameters. The result shows that the main factors of reading distance, belt moving speed and the interaction between reading distance and code size have the significant effect on QR code readability. Under the optimization condition of 141.45mm reading distance, 34.58mm code size, 100 bytes coded characters and 2.98m/min belt moving speed, the average value of QR code readability was 95%. With the optimization parameters, the intelligent conveyer belt was used in an apple marketing enterprise. The result shows that the continuous traceability between storage and logistic can be implemented with the extended breadth, deepened depth and improved precision.