Data Transmission Platform Research Articles

Research on Construction Digital Management System Based on Digital Twin

In the context of transformation and upgrading of the construction industry, traditional project construction management is still a complex "man-machine-environment" system engineering. The emerging digital twin technology provides new methods and technical means to realize the digitalization of construction. In order to solve the problems of redundant information of traditional construction management elements and low management efficiency, a digital model of construction management for physical space and non-physical space in the whole construction process is constructed, and an intelligent management platform for data collection and transmission of all elements of construction management is established. A process-oriented digital construction management system is proposed to realize the digital control of the construction management process. The study shows that by establishing an integrated management platform and collecting various building information elements in the whole construction process, the organic integration of construction management and digital twins can be realized, and the construction process management capabilities and management efficiency can be improved.

A Latent Factor-Based Bayesian Neural Networks Model in Cloud Platform for Used Car Price Prediction

The selling price of a used car can be predicted based on its historical information. Accurate and reasonable used car price evaluation will be able to promote the healthy progress of the used car industry. Current used car price prediction models are troubled by data quality and the inability to provide estimates of uncertain information, and the prediction accuracy cannot meet the needs of real-world scenarios. In this work, we propose a price prediction model based on a Bayesian neural networks with latent factor (LFBNN) in a cloud platform, which is capable of performing latent factor extraction operations on structured data of used cars as a way to remove the effect of noise in the dataset on the model performance. Moreover, the weight parameters of the Bayesian neural networks (NNs) are represented as probability distributions, which is equivalent to introducing uncertainty and acting as a regularization effect compared to a NN with fixed weights, thus making it possible to alleviate the overfitting problem. The LFBNN model uses a cloud platform for data transmission and storage, enabling it to run faster. Compared with the current benchmark models, the model proposed in this work achieves excellent experimental results on two real datasets. The experimental results on the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$Car_{1}$</tex-math></inline-formula> dataset are 1.498 for mse, 1.224 for rmse, and 0.995 for MAE, and 1.519 for mse, 1.232 for rmse, and 1.002 for MAE on the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$Car_{2}$</tex-math></inline-formula> dataset.

Design and Implementation of a Smart Seawater Aquarium System Based on Artificial Intelligence of Things Technology

In recent years, single societies and aging societies around the worldwide increasingly seen the emerging problem of loneliness and the growing need for companionship. To satisfy the need, the population of pet keepers is growing, and the proportion of households with pets is increasing. It is normal to have pets at home. Pet fish are kept not only for companionship but also to relieve the stress accumulated throughout the day, and they can also improve the quality of life and health of older individuals. Having a pet can help reduce anxiety and increase food intake in people with medical conditions. This article proposes a smart seawater aquarium system based on the artificial intelligence of things (AIoT) technology to lower the knowledge threshold for keeping seahorses or other marine fish as pets. The proposed system provides seawater fish owners with safe and convenient feeding methods and more pet-friendly and user-friendly choices of interactive pet care and improves the comfort and survival rate of marine life in seawater aquariums. This smart seawater aquarium system can automatically or manually adjust water quality, water temperature, and oxygen content in water, change the water, feed fish, and monitor underwater fish in real time. It solves the problem of neglecting pet fish and the difficulty of maintaining seawater aquariums. Moreover, the proposed system incorporates a cloud-based information system and a web-based platform for data transmission and interface control, and it has achieved the purposes of remote and local monitoring of the aquarium.

Evolution analysis of corporate governance structure based on blockchain network security and complex adaptive system

At present, the corporate governance structure of domestic enterprises is not sound, which directly affects the development of enterprise technological innovation. This study mainly discusses the evolution of corporate governance structure based on the complex adaptive system of blockchain network security. The blockchain is actually very similar to the accounting book. The account book formed by the summary of the accounting vouchers in each month of the enterprise is equivalent to each block, and the account book formed by the sequential connection is equivalent to the block chain formed by concatenating the blocks. This article believes that in the corporate governance system, the maximum fairness and the highest efficiency are always the basic goals pursued by the system, and the balance between fairness and efficiency is the basic principle. The research content of the corporate governance system mainly involves a series of issues such as the allocation of rights and responsibilities of all stakeholders, the arrangement of residual distribution rights, and the way of participating in governance with the principal-agent relationship between the internal owners and managers of the enterprise as the core. In the company's network communication structure, the first layer is the stakeholder level, that is, the interactive protocol layer (knowledge layer) between multiple agents. The specific technology is realized through networked audio and video. The second layer is the communication language layer between Agents. Define the grammar and semantics of the Agent communication language, and realize the message transfer between Agents. The third layer is the data transmission mechanism (communication layer) between Agents. The Internet (CORBA/Java) is used to realize the establishment of agent object communication between the server and the client, and the data transmission between Agents is realized through the TCP/IP protocol. The fourth layer is the data layer. The database structure is used to realize data storage, and the data storage, query and other functions are realized through database access. The fifth layer is the support layer. Provide physical connection and specific operation platform for company governance system data transmission and exchange, and other management software and application programs. The amount of funds raised for scientific and technological activities of large and medium-sized industrial enterprises rose from 104.665 billion yuan in 2017 to 330.079 billion yuan in 2019, an increase of 215%. This research will help the company's intelligent management.

Construction of School-Enterprise Cooperation Practice Teaching System under the Big Data Internet of Things Industry Collaborative Innovation Platform.

The school-enterprise cooperation practice teaching system has increasingly become the core of the field of education research on the basis of the Internet and mobile communications. Based on the big data IoT theory and relying on the industrial collaborative innovation platform, this study designs and implements a general service platform for school-enterprise cooperation practice teaching for IoT applications. The platform is divided into two parts: the IoT data transmission part and the Web practice teaching service section. On the Internet of Things big data transmission platform, after the big data processing provided by the intelligent industry collaborative innovation end is completed, it disguises as a web practical teaching service platform built by the Internet of things framework based on B/S architecture. It solves the problem of data transmission on the order of millions. During the simulation process, the platform realizes flexible deployment and automatic integration of online upgrades. The code management script module based on scripts such as SQL, Python, and shell can complete the online platform. The automatic upgrade finally achieves the goals of the platform being easy to maintain, simple to deploy, and flexible in business logic. The experimental results show that starting from the actual situation of a digital intelligent collaborative innovation platform in a university, the practical teaching system designed and implemented adopts the object-oriented development method, and has a three-tier architecture of the collaborative innovation platform. In addition, the functional modularization and standardization reach 88.7% and 79.4%, respectively, effectively improving the performance of the practical teaching system.

Метод обробки вiдеодaних з можливістю їх захисту після квaнтувaння

The subject of research in the article is the video processing processes based on the JPEG platform for data transmission in the information and telecommunication network. The aim is to build a method for processing a video image with the possibility of protecting it at the quantization stage with subsequent arithmetic coding. That will allow, while preserving the structural and statistical regularity, to ensure the necessary level of accessibility, reliability, and confidentiality when transmitting video data. Task: research of known methods of selective video image processing with the subsequent formalization of the video image processing procedure at the quantization stage and statistical coding of significant blocks based on the JPEG platform. The methods used are an algorithm based on the JPEG platform, methods for selecting significant informative blocks, arithmetic coding. The following results were obtained. A method for processing a video image with the possibility of its protection at the stage of quantization with subsequent arithmetic coding has been developed. This method will allow, while preserving the structural and statistical regularity, to fulfill the set requirements for an accessible, reliable, and confidential transmission of video data. Ensuring the required level of availability is associated with a 30% reduction in the video image volume compared to the original volume. Simultaneously, the provision of the required level of confidence is confirmed by an estimate of the peak signal-to-noise ratio for an authorized user, which is dB. Ensuring the required level of confidentiality is confirmed by an estimate of the peak signal-to-noise ratio in case of unauthorized access, which is equal to dB. Conclusions. The scientific novelty of the results obtained is as follows: for the first time, two methods of processing video images at the quantization stage have been proposed. The proposed technologies fulfill the assigned tasks to ensure the required level of confidentiality at a given level of confidence. Simultaneously, the method of using encryption tables has a higher level of cryptographic stability than the method of using the key matrix. It is due to a a more complex mathematical apparatus. Which, in turn, increases the time for processing the tributes. To fulfill the requirement of data availability, it is proposed to use arithmetic coding for info-normative blocks, which should be more efficient compared with the methods of code tables. So, the method of using the scoring tables has greater cryptographic stability, and the method of using the matrix-key has higher performance. Simultaneously, the use of arithmetic coding will satisfy the need for accessibility by reducing the initial volume.

Embracing new technology to overcome severe hypoglycaemia in a patient with visual impairment

AbstractA 56‐year‐old man with type 1 diabetes, who had been blind since childhood, was experiencing frequent episodes of hypoglycaemia requiring medical assistance. The use of insulin pump therapy or flash glucose monitoring devices was not suitable due to the lack of accessibility of these systems to patients with visual impairment.With the support of his secondary care team, he began using the Dexcom continuous glucose monitoring system, which features an open platform for wireless data transmission to smart devices, allowing him to access non‐visual feedback via his smartphone. This has eliminated his episodes of severe hypoglycaemia, in addition to significantly improving his quality of life and overall glycaemic control. Copyright © 2021 John Wiley &amp; Sons.

Dynamic Scheduling for Emergency Tasks in Space Data Relay Network

As a platform for data transmission, space data relay network (SDRN), which has high coverage and continuous communications, provides data relay services for the spacecrafts and satellites by allocating antenna resource. However, the diversity between emergency tasks and common tasks for antenna requirements may result in the conflicts of resource occupation. This leads to the loss of emergency information and the low scheduling efficiency. In this paper, a real-time dynamic scheduling (RTDS) scheme is proposed to ensure the transmission of emergency tasks and improve the scheduling efficiency by scheduling sequence adjustment and task management. Firstly, the relative SDRN system models are given and a dynamic scheduling mechanism is designed to deal with the disturbance factors during the scheduling process. Then, based on the dynamic scheduling mechanism, the RTDS scheme is implemented in three stages, which include initial scheduling, dynamic scheduling for emergency tasks, and final scheduling. The simulation results demonstrate that the proposed RTDS scheme can guarantee the timely transmission of emergency tasks and enhance the scheduling efficiency compared with the existing scheduling algorithms.

Application of IoT in power transmission line monitoring

Nowaday in Vietnam, the verification and maintenance of 220kV - 500kV transmission lines is mainly done by manual labor. However, this task is quite hard, the workers have many difficulties such as the long moving distance (hundreds of kilometers) through many areas of complex terrain to verify the data and prevent the widespread problems. The efficiency and quality of line check also depends on the enthusiasm and experience of the workers. The demand to develop the power grid is constantly increasing to release full capacity from solar power plants, wind power plants, making the line always operating in overload state. Some problems are caused by the rapid growth of plants violating high voltage transmission line safety distances.Therefore, an online transmission line monitoring system will be a useful tool for improving the line operation and reduce the pressure for workers. In this paper, the application of the wireless data transmission platform and LABVIEW programming software to build a system for online data collection of lines, program settings, applications on mobile devices. Dynamic monitoring of lines over the Internet reduces the workload of workers.

Security and Privacy of Smart Home Systems Based on the Internet of Things and Stereo Matching Algorithms

With the rapid development of the Internet of Things (IoT), security and privacy of smart home systems based on IoT are more and more popular. As the key component of IoT, wireless communication and sensor technology are prerequisites for the security and confidentiality of smart home systems. The smart home systems integrate electronic information technology and computer control. By designing and installing various sensors in the home for collecting data, and then using the IoT platform for data transmission, the remote control of the home running state can be realized. The home security is guaranteed. This article designs IoT architecture of smart home, and then hardware and software are designed according to the system architecture. The hardware part is mainly analyzed from the image recognition module and the speech recognition module. In addition, a stereo matching algorithm for smart video surveillance is proposed to optimize the accuracy of the surveillance system. Finally, the simulation results prove that the designed smart home systems have a low cost and high accuracy. It not only optimizes the performance of smart home systems but also improves the safety factor.

Remote Parkinson's disease monitoring system: from smartphone to cloud platform

Parkinson's disease (PD) is a slowly progressive disorder that affects movement, muscle control, and balance. The earlier treatment can prevent the disease from developing and to prolongate the diseases prodromal phase. In this context, home monitoring services are potentially powerful tools for remote diagnosis and can improve healthcare services. Tremor is the most common symptom of a PD disorder and it has several advantages for continuous PD symptoms monitoring. The developing of solution based on smartphone sensors that allow remote monitoring of the monitored user is present. The connection between the smartphone application and cloud platform for smartphone sensors data transmission for early tremor symptoms detection is developed. It includesdeveloping of configuration of smartphone application for sensor data transmission and developing of configuration of a cloud platform for tremor symptoms monitoring. The active tests were developed to capture a motor disorder, that indicates PD symptom such as tremor. Initial trials of the developing demonstrated that the monitoring system has the ability to real-time data acquisition and transmission using smartphone sensors and cloud storage. The connection settings developed for the system proved to be efficient when sensor data transmitted from the smartphone to cloud storage. The period of time required to transfer data to the cloud equal to the period of time less than one second.

System Architecture for Real-Time Surface Inspection Using Multiple UAVs

This paper presents a real-time control system for surface inspection using multiple unmanned aerial vehicles (UAVs). The UAVs are coordinated in a specific formation to collect data of the inspecting objects. The communication platform for data transmission is based on the Internet of Things (IoT). In the proposed architecture, the UAV formation is established via using the angle-encoded particle swarm optimisation to generate an inspecting path and redistribute it to each UAV where communication links are embedded with an IoT board for network and data processing capabilities. Data collected are transmitted in real time through the network to remote computational units. To detect potential damage or defects, an online image processing technique is proposed and implemented based on histograms. Extensive simulation, experiments and comparisons have been conducted to verify the validity and performance of the proposed system.

A Pilot Study to Assess the Feasibility of Collecting and Transmitting Clinical Trial Data with Mobile Technologies

Background: The use of mobile technologies for data capture and transmission has the potential to streamline clinical trials, but researchers lack methods for collecting, processing, and interpreting data from these tools. Objectives: To assess the performance of a technical platform for collecting and transmitting data from six mobile technologies in the clinic and at home, to apply methods for comparing them to clinical standard devices, and to measure their usability, including how willing subjects were to use them on a regular basis. Methods: In part 1 of the study, conducted over 3 weeks in the clinic, we tested two device pairs (mobile vs. clinical standard blood pressure monitor and mobile vs. clinical standard spirometer) on 25 healthy volunteers. In part 2 of the study, conducted over 3 days both in the clinic and at home, we tested the same two device pairs as in part 1, plus four additional pairs (mobile vs. clinical standard pulse oximeter, glucose meter, weight scale, and activity monitor), on 22 healthy volunteers. Results: Data collection reliability was 98.1% in part 1 of the study and 95.8% in part 2 (the percentages exclude the wearable activity monitor, which collects data continuously). In part 1, 20 of 1,049 overall expected measurements were missing (1.9%), and in part 2, 45 of 1,083 were missing (4.2%). The most common reason for missing data was a single malfunctioning spirometer (13 of 20 total missed readings) in part 1, and that the subject did not take the measurement (22 of 45 total missed readings) in part 2. Also in part 2, a higher proportion of at-home measurements than in-clinic readings were missing (12.6 vs. 2.7%). The data from this experimental study were unable to establish repeatability or agreement for every mobile technology; only the pulse oximeter demonstrated repeatability, and only the weight scale demonstrated agreement with the clinical standard device. Most mobile technologies received high “willingness to use” ratings from the patients on the questionnaires. Conclusions: This study demonstrated that the wireless data transmission and processing platform was dependable. It also identified three critical areas of study for advancing the use of mobile technologies in clinical research: (1) if a mobile technology captures more than one type of endpoint (such as blood pressure and pulse), repeatability and agreement may need to be established for each endpoint to be included in a clinical trial; (2) researchers need to develop criteria for excluding invalid device readings (to be identified by algorithms in real time) for the population studied using ranges based on accumulated subject data and established norms; and (3) careful examination of a mobile technology’s performance (reliability, repeatability, and agreement with accepted reference devices) during pilot testing is essential, even for medical devices approved by regulators.

Smartphone-Based Cooperative Indoor Localization with RFID Technology.

In GPS-denied indoor environments, localization and tracking of people can be achieved with a mobile device such as a smartphone by processing the received signal strength (RSS) of RF signals emitted from known location beacons (anchor nodes), combined with Pedestrian Dead Reckoning (PDR) estimates of the user motion. An enhacement of this localization technique is feasible if the users themselves carry additional RF emitters (mobile nodes), and the cooperative position estimates of a group of persons incorporate the RSS measurements exchanged between users. We propose a centralized cooperative particle filter (PF) formulation over the joint state of all users that permits to process RSS measurements from both anchor and mobile emitters, as well as PDR motion estimates and map information (if available) to increase the overall positioning accuracy, particularly in regions with low density of anchor nodes. Smartphones are used as a convenient mobile platform for sensor measurements acquisition, low-level processing, and data transmission to a central unit, where cooperative localization processing takes place. The cooperative method is experimentally demonstrated with four users moving in an area of 1600 , with 7 anchor nodes comprised of active RFID (radio frequency identification) tags, and additional mobile tags carried by each user. Due to the limited coverage provided by the anchor beacons, RSS-based individual localization is inaccurate (6.1 m median error), but this improves to 4.9 m median error with the cooperative PF. Further gains are produced if the PDR information is added to the filter: median error of 3.1 m (individual) and 2.6 m (cooperative); and if map information is also considered, the results are 1.8 m (individual) and 1.6 m (cooperative). Thus, for each version of the particle filter, cooperative localization outperforms individual localization in terms of positioning accuracy.

Hardware Platform Design for Baseband Data Transmission of WCDMA Based on USB3.0

This paper proposes a hardware platform for WCDMA baseband data transmission, which consists of USB3.0 interface, general purposes processor (GPP), and software defined radio (SDR) system. In view of the requirements of WCDMA system, the hardware platform consisting of USB3.0 controller, FPGA and DDRII was selected, which finally realized the high throughput rate and low delay transmission of baseband data of WCDMA system. The experimental results show that in this GPP software defined radio system, the interface speed of USB3.0 can reach 200MBps, and the loopback delay time of the system is about 0.7ms, which can meet the requirements of WCDMA system.

Real-time data capture with electronic cigarettes for smoking cessation programme: a cloud platform for behavioural research

Tobacco smoking is a major risk factor for many chronic diseases, which led to the popularity of electronic cigarette (e-cigarette) and showed to be an effective tool for tobacco smoking...

Design and manufacturing model of customized hydrostatic bearing system based on cloud and big data technology

Hydrostatic systems are considered as essential supporting structures in heavy machine tools. The calculations and analyses for hydrostatic bearings are always laborious because of the involvement of several disciplines such as elastic mechanics, hydromechanics, thermodynamics, and other factors in the design. It is well known that large data and cloud technology are capable of processing and transmission of hydrostatic system studies. In this work, a cloud manufacture model is presented to provide big data storage, transmission, and processing platform for designers, manufacturers, and users of hydrostatic bearings. All participants involved in the manufacturing were linked together by timely information communication in order to ensure that the customized products met with the actual conditions in the cloud server. Based on the actual requirements of the user, the carrying capacity of hydrostatic system was analyzed by a designer using finite difference method and the results were sent to the manufacturer for machining of components. The monitored data from the consumer could be fed back to the designer for performance evaluation through the cloud server. It was found that customized manufacturing tasks could be finished more reliably and efficiently if all participants exchanged the data through cloud platform in real time.

The Design of Interactive Multimedia System for Wireless Environment

With the development of microelectronics technology, photoelectron technology and the wireless network technology, Computer development has entered the era of mobile. The purpose is to research and develop a set of interactive multimedia system for wireless environment. The design of the system is mainly through the wireless network environment, to build a wireless interactive platform, a mobile terminal and a data service center, or between mobile terminal and mobile terminal through the platform for multimedia data transmission and information interaction. The disadvantages of traditional service system is the space limitation, while the new technology will make it up. As a result, the research value of applying interactive multimedia technology into wireless environment is very high.

Electrifying the disk: a modular rotating platform for wireless power and data transmission for Lab on a disk application.

We present a design for wireless power transfer, via inductively coupled coils, to a spinning disk. The rectified and stabilised power feeds an Arduino-compatible microcontroller (μC) on the disc, which in turn drives and monitors various sensors and actuators. The platform, which has been conceived to flexibly prototype such systems, demonstrates the feasibility of a wireless power supply and the use of a μC circuit, for example for Lab-on-a-disk applications, thereby eliminating the need for cumbersome slip rings or batteries, and adding a cogent and new degree of freedom to the setup. The large number of sensors and actuators included demonstrate that a wide range of physical parameters can be easily monitored and altered. All devices are connected to the μC via an I(2)C bus, therefore can be easily exchanged or augmented by other devices in order to perform a specific task on the disk. The wireless power supply takes up little additional physical space and should work in conjunction with most existing Lab-on-a-disk platforms as a straightforward add-on, since it does not require modification of the rotation axis and can be readily adapted to specific geometrical requirements.

Design of Intelligent Vehicle Monitoring System Based on μC-OS

This paper establishes a set wireless intelligent vehicle monitoring system can be used in car based on S3C2440 and UC-OS, including hardware design, software design, system terminal high-speed wireless data transmission and monitoring platform. The experimental results show that the system have high detection sensitivity and high accuracy, and that can effectively prevent drunk driving and theft has very good practical value.