Real-time Dynamic Display Research Articles

Development of Multimedia-Assisted Clothing Try-On System for Elderly Individuals

With the improvement of living standards, the demand for high-quality, personalized modern fashion has surged, which has promoted the growth of this customized clothing industry. The integration of cutting-edge technologies such as 5G, artificial intelligence and Internet of Things with traditional clothing production has pushed virtual try-on technology to the forefront of global research. This study focuses on the technical challenges of 3D clothing dynamic virtual try-on system in real life—specifically, personalized posture tracking, high-fidelity real-time interaction and cost-effectiveness—using 3D visual sensing theory, clothing simulation modeling principle and advanced tools including Unity3d and Maya. It deeply studies the key areas: collecting sensory data based on Kinect, extracting the skeletal posture characteristics of the elderly, measuring their body circumference and size, developing a 3D dynamic model of clothing with tracking control, and realizing real-time dynamic display of virtual try-on results.

Visual Simulation of Modern Supply Chain Based on MR Virtual Reality Technology

In order to improve the management and operation efficiency of the modern supply chain, this paper combines the MR virtual reality technology to carry out the visual simulation of the modern supply chain. Moreover, this paper uses MR virtual simulation technology to perform intelligent perception of supply chain transportation equipment and transportation objects, recognize its shape and the force it receives, and ensure that there is no damage during the transportation process. The visual simulation of supply chain is realized by real-time dynamic display based on geometric model. Moreover, this paper combines the MR virtual reality technology to define the geometric and kinematic characteristics of the modeled object, then encapsulates these characteristics into the object class, and defines the behavior characteristics to establish an object class library. Finally, the experimental research verifies that the modern supply chain visual simulation technology based on MR virtual reality technology has a good simulation effect in the supply chain system.

Virtual monitoring system for a robotic manufacturing station in intelligent manufacturing based on Unity 3D and ROS

In the present work, a digital twin system has been developed for a small-scale robotic manufacturing station, typically for realization of intelligent additive manufacturing. This system consists of: (1) virtual model and space construction (in Unity 3D), (2) operating simulation of robot movement (in Robot Operating System, ROS) and the pick-and-place action, (3) data communication and transmission between the physical manufacturing station and the virtual model, and (4) real-time dynamic display of the operating status of the robot arm (display of joint angle variations with time), etc. By establishing dual-direction data communication between the physical equipment and virtual environment, real-time data drives the movement of the virtual model which enables remote, real-time visualization and monitoring of the entire working process of the physical additive manufacturing station. It is expected the digital twin model can be extended to more sophisticated additive manufacturing applications such as 3D printing for not only monitoring but also control and optimization of the relevant process parameters.

Design of Graphene Pressure Sensor Array and its Ethernet-Based Demodulation System

Graphene pressure sensors have some problems, such as difficulty in sampling, difficulty in real-time remote monitoring and the limited sensor nodes in the system. A graphene pressure sensor array and its Ethernet-based demodulation system is proposed in this work, and the automatic detection of low-pressure is realized. This demodulation system can construct a LAN with multiple pressure sensor nodes, and monitor any sensor node in the LAN through the remote host computer. The self-made graphene pressure sensor array has high sensitivity (0.303 kPa <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−1</sup> in the range of less than 200 Pa and 0.038 kpa <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−1</sup> in the range of 200-1000 pa) and stability in the low-pressure range (< 1 kPa), which meets the detection requirements of low pressure. The demodulation system has the characteristics of high-precision sampling, high-speed transmission and remote real-time dynamic display. This work has certain application prospects in wearable electronic devices, electronic skin, intelligent human-computer interaction and engineering applications.

Artificial intelligence driven wireless network remote monitoring based on Diffie–Hellman parameter method

Remote monitoring of wireless networks based on artificial intelligence can build sensitive anomaly recognition mechanisms, automated event analysis engines and accurate global operation and maintenance capabilities for wireless network defense. Firstly, a simple camera is used to realize real-time acquisition and wireless transmission of video signals based on software-based MPEG-4 compression coding method. The self-developed ActiveX control with video decoding function is embedded in the webpage to realize real-time dynamic display of video information in the computer browser of the monitoring terminal. Secondly, in order to realize the intelligent control of wireless network, the research based on the reverse motion degree posture planning is carried out. The DH parameter method is used to establish the linkage coordinate system of wireless network remote monitoring, and the kinematics formula is derived. The geometric analysis method is used to calculate the motion trajectory of remote monitoring, accurately locate the various angles of remote monitoring and obtain the best motion path. Based on the Pm angle control method of fuzzy neural network, the RBF neural network, fuzzy control the combination of control and Pm control, using the self-learning ability of the neural network and the fuzzy reasoning is ability of fuzzy control. The end effector was adjusted to the target position. Finally, the established mathematical model was simulated by MATLAB, and the characteristics of wireless network remote monitoring were verified.

A low-power and miniaturized electrocardiograph data collection system with smart textile electrodes for monitoring of cardiac function.

With the increasing aging population as well as health concerns, chronic heart disease has become the focus of public attention. A comfortable, low-powered, and wearable electrocardiogram (ECG) system for continuously monitoring the elderly's ECG signals over several hours is important for preventing cardiovascular diseases. Traditional ECG monitoring apparatus is often inconvenient to carry, has many electrodes to attach to the chest, and has a high-power consumption. There is also a challenge to design an electrocardiograph that satisfies requirements such as comfort, confinement, and compactness. Based on these considerations, this study presents a biosensor acquisition system for wearable, ubiquitous healthcare applications using three textile electrodes and a recording circuit specialized for ECG monitoring. In addition, several methods were adopted to reduce the power consumption of the device. The proposed system is composed of three parts: (1) an ECG analog front end (AFE), (2) digital signal processing and micro-control circuits, and (3) system software. Digital filter methods were used to eliminate the baseline wander, skin contact noise, and other interfering signals. A comparative study was conducted using this system to observe its performance with two commercial Holter monitors. The experimental results demonstrated that the total power consumption of this proposed system in a full round of ECG acquisition was only 29.74mW. In addition, this low-power system performed well and stably measured the heart rate with an accuracy of 98.55%. It can also contain a real-time dynamic display with organic light-emitting diodes (OLED) and wirelessly transmit information via a Bluetooth 4.0 module.

Design of Platform for Hydraulic Manipulator Virtual Reality Interactive and Comprehensive Experiment

Platform for hydraulic manipulator virtual reality interactive and comprehensive experiment is a master-slave control of hydraulic manipulator servo control system requirement, considering the research and development of Hydraulic manipulator and being ready for pre-research and development of experimental system. According to the demand, the experimental platform can be replaced quickly by implementing agencies, including linear cylinder and swing cylinder and so on, based on analysis of static characteristics and dynamic characteristics for different composition of electro-hydraulic servo valve; It can also be used to simulate the movement of general six degrees of freedom manipulator, with functions of kinematics analysis and motion precision measurement; using virtual reality technology, through 3D virtual manipulator, it can be real-time dynamic display manipulator in space, and motion parameters of each joint. Classification number :TP242.6 Document code : A

Design of Data Management System for Remote ECG Monitoring

This paper presents a design schema about remote electrocardiograph (ECG) monitoring system. There are three parts in this system which include hardware detection system based on MSP430, Zigbee wireless sensor network and data management software system on PC. This paper mainly provides information for study and design of the data management software system using visual C++ program to realize immediate communication of medical monitoring. The data management software system will achieve many functions such as serial communication, real-time dynamic display of 12-lead ECG waveform and physiological parameter which include Heart Rate (HR).

Design and Implementation of Visualizing the Intelligent Dispatching and Maintenance Arrangement System for 110kV Power Grid

In the context of the rapid growth in electricity demand and the expanding of the power grid, grid dispatching and maintenance is becoming increasingly complex. To improve the dispatching and maintenance scheduling in distribution network, the “Intelligent Dispatching and Maintenance Arrangement System for 110kV Power Grid” was developed. This paper describes the design framework and functions of the system, and also briefly introduces the visual development tools-TWaver. Finally, the implementation of visualizing the real-time dynamic display of network power flow as well as the optimization result of maintenance schedule is given and realized a visual and intelligent mode of dispatching and maintenance scheduling effectively. The system has been put into operation in a grid with a stable and reliable performance, and shows the practicality and effectiveness of the system.

Design of Audio Signal Testing and Analysis System Based on Virtual Instrument

An audio signal acquisition and analysis system with low-cost and high performance was developed, taking LabVIEW as the software development platform and the computer sound card as hardware platform. This system is capable of audio signal acquisition, real time dynamic display, analysis processing, storage and display of audio signal. Practical application shows that this system not only has those advantages such as high-precision, stability, reliable performance and being easy-operated, but also can achieve common data-acquisition within the designed frequency range of the sound card. The signal acquisition technology based on the sound card, especially the technology combining with virtual instruments has broad prospects in the field of engineering test measurement and teaching practice.

Dynamic three-dimensional echocardiographic imaging of congenital heart defects in infants and children by computer-controlled tomographic parallel slicing using a single integrated ultrasound instrument.

Three-dimensional cardiac reconstruction generated from transesophageal interrogation can be performed using an integrated unit that captures, processes, and postprocesses tomographic parallel slices of the heart. This probe was used for infants and young children in the transthoracic position to evaluate the feasibility of producing three-dimensional cardiac images with capability for real-time dynamic display. Twenty-two infants and children (range 1 day-3.5 years) underwent image acquisition using a 16 mm 5 MHz 64 element probe placed over the precordium. Two infants were also imaged from the subcostal position. Data was obtained and stored over a single cardiac cycle after acceptable cardiac and respiratory gating intervals were met. The transducer was advanced in 0.5-1 mm increments over the cardiac structures using identical acquisition criteria. The images were reconstructed from the stored digital cubic format and could be oriented in any desired plane. In 9 of the 22 infants the images obtained were of optimal quality. The images obtained displayed normal cardiac structures emphasizing depth relationships as well as visualization of planes not generally demonstrated by two-dimensional imaging. Several lesions were also depicted in a unique fashion using this technique. Though the method employed was limited by movement artifact and reconstruction time, the quality of the three-dimensional display was excellent and enhanced by real-time demonstration. The transthoracic approach was successful in capturing sufficient data to create three-dimensional images, which may have further application in more accurate diagnosis of complex cardiac abnormalities and generation of planes of view which could duplicate surgical visualization of a lesion. Further assessment of the technique in infants with congenital heart disease is warranted.