Mobile Terminal APP Research Articles

Smart Devices for Pregnant Women in Healthcare – A Comprehensive Review

Everyone has heard the irony about rural health care in nations with poor or medium incomes because it is so far away and the roads are so bad people can’t get there, but everyone has cell phones, which allow instant communication over hundreds of miles. Over 5 billion people were wireless customers as of 2010. According to a survey by the International Telecommunication Union (ITU), 80% of people living in rural areas and over 90% of people on the planet had access to mobile networks. To control and improve the prenatal care that women receive, and their entire state of health. Out of the 100 pregnant women who used the smartphone mobile terminal app, they delivered a baby. These one hundred were the “experimental group” in the sense that they worked at the hospital and were part of the health assistant app testing process. The control group consisted of hospitalized pregnant women who did not take part in the app’s management.

A Machine-Learning-Algorithm-Assisted Intelligent System for Real-Time Wireless Respiratory Monitoring

Respiratory signals are basic indicators of human life and health that are used as effective biomarkers to detect respiratory diseases in clinics, including cardiopulmonary function, breathing disorders, and breathing system infections. Therefore, it is necessary to continuously measure respiratory signals. However, there is still a lack of effective portable electronic devices designed to meet the needs of daily respiratory monitoring. This study presents an intelligent, portable, and wireless respiratory monitoring system for real-time evaluation of human respiratory behaviors. The system consists of a triboelectric respiratory sensor; circuit board hardware for data acquisition, preprocessing, and wireless transmission; a machine learning algorithm for enhancing recognition accuracy; and a mobile terminal app. The triboelectric sensor—fabricated by the screen-printing method—is lightweight, non-invasive, and biocompatible. It provides a clear response to the frequency and intensity of respiratory airflow. The portable circuit board is reusable and cost-effective. The decision tree model algorithm is used to identify the respiratory signals with an average accuracy of 97.2%. The real-time signal and statistical results can be uploaded to a server network and displayed on various mobile terminals for body health warnings and advice. This work promotes the development of wearable health monitoring systems.

Retracted: Design of an Intelligent Virtual Classroom Platform for Ideological and Political Education Based on the Mobile Terminal APP Mode of the Internet of Things

Retracted: Design of an Intelligent Virtual Classroom Platform for Ideological and Political Education Based on the Mobile Terminal APP Mode of the Internet of Things

Analysis of online antenatal education class use via a mobile terminal app during the COVID-19 pandemic

ObjectiveTo understand the use of online antenatal education classes accessed via the Mother and Child Health Handbook app during the COVID-19 pandemic in order to provide a basis and suggestions for optimizing Internet education during pregnancy under public health emergencies.MethodsWe compared and analyzed the use of online antenatal education classes via the Mother and Child Health Handbook app in Hangzhou in 2019 and 2020 (during the COVID-19 pandemic).ResultsBetween January 1, 2019, and December 31, 2020, a total of 229,794 pregnant women created files and registered for the app, including 124,273 women in 2019 and 105,521 women in 2020. More pregnant women participated in online antenatal education learning (n = 36,379/34.5% vs. 29,226/23.5%, p = 0.000) in 2020 than in 2019. The proportion of pregnant women in the 18–34-year-old group who participated in online learning was higher than that in the advanced age group, and the difference was statistically significant (2019: 24.3% vs. 18.8%, p = 0.000) (2020: 35.7% vs. 27.4%, p = 0.000). More pregnant women accessed online antenatal education during early pregnancy (n = 13,463/37.0% vs. 9088/31.1%, p = 0.000) in 2020 than in 2019. Similar percentages of pregnant women participated in online antenatal education during mid-pregnancy (n = 15,426/52.8% vs. 19,269/53.0%, p = 0.639) in 2019 and 2020. Fewer pregnant women accessed online antenatal education during late pregnancy (n = 10,246/28.2% vs. 9476/32.4%, p = 0.000) in 2020 than in 2019. Fewer pregnant women choose to take 'Puerperal Health' courses in 2020 than in 2019 (early pregnancy: 36.20% vs. 42.79%, p = 0.000; mid-pregnancy: 41.65% vs. 48.19%, p = 0.000; late pregnancy: 55.31% vs. 58.41%, p = 0.000). Fewer pregnant women choose to take 'Psychological Adjustment' courses in 2020 than in 2019 (early pregnancy: 21.59% vs. 29.60%, p = 0.000; mid-pregnancy: 26.20% vs. 40.50%, p = 0.000; late pregnancy: 12.79% vs. 42.53%, p = 0.000). More pregnant women choose to study 'Nutrition and Exercise' in 2020 than in 2019 (early pregnancy: 44.48% vs. 25.95%, p = 0.000; mid-pregnancy: 47.77% vs. 40.75%, p = 0.000; late pregnancy: 55.94% vs. 42.99%, p = 0.000). “Pregnancy Care and Fetal Development” was the most selected course by pregnant women in early pregnancy (2019: 67.50%; 2020: 71.39%) and middle pregnancy (2019: 67.01%; 2020: 82.05%), and the proportion in 2020 was higher than it was in 2019. “Baby care” was the most selected course by pregnant women in late pregnancy, and the proportion in 2020 was higher than it was in 2019 (78.31% vs. 72.85%).ConclusionDuring the COVID-19 pandemic, online antenatal education was well-used by pregnant women. More women participated in the online antenatal education modules during the COVID-19 pandemic than during 2019.The proportion of choosing different courses for pregnant women before and after the COVID-19 epidemic varied, and the learning course needs of pregnant women in different trimesters were different.

Application of Smart Mobile Medical Services in Maternal Health Care Management.

In order to standardize the health management of pregnant women, improve the health level of pregnant women, and improve the outcome of pregnancy with the help of the smartphone mobile terminal app, the 100 pregnant women who gave birth in the hospital and participated in the management of the health assistant app were selected as the observation group, and the 100 hospitalized pregnant women who did not participate in the management of the app were selected as the control group. The two groups of pregnant women were compared in their knowledge of health care, compliance of prenatal examination, delivery mode, and follow-up rate. The results showed that the observation group was significantly higher than the control group in the knowledge of health care during pregnancy and perinatal period, the rate of natural childbirth, the compliance rate of prenatal examination, and the follow-up rate. After the system was launched, the number of registered pregnant women reached more than 60% of the total number of pregnant women in the hospital, the number of clicks reached more than 2 million times, the number of clinic settlement accounted for more than 30%, and the interpretation rate of fetal heart rate in outpatient and remote clinics reached more than 20%. The diagnosis and treatment process has been significantly improved, and the implementation effect has reached the expectation. O2O maternal and child service mode has been realized through mobile internet technology. It has been proved that the use of smart mobile terminals in the out-of-hospital health care management of pregnant women not only facilitates medical staff to provide timely personalized medical services for pregnant women but also is convenient for pregnant women to obtain health care knowledge through multiple channels, improve the quality of home health management for pregnant women, and effectively improve the pregnancy outcome.

Street View Inspection System of Distribution Network Based on GIS

With the reform of electric power system and the gradual expansion of power grid scale in different cities, the traditional inspection method has been unable to adapt to the power transmission in the new era, and there are many defects in the system, especially in the extreme weather conditions, the power patrol inspection work is full of difficulties. This paper mainly studies the design and implementation of the street view inspection system of distribution network based on GIS. The key technologies of power patrol system are analyzed, including geographic information system (GIS), global positioning system (GPS), C/S network structure and database technology. Secondly, according to the actual situation, the detailed design of the inspection system is made on the basis of GIS. It includes the design of the overall architecture, the division of functional modules and the design of the corresponding database. Then, the design and implementation of the mobile terminal patrol APP was completed, and the main functional interface of the system was finally displayed.

Construction and experiment of phenotyping system based on field wheat

In response to the actual needs of informatization of the collectors engaged in the whole process of field wheat production, this paper constructed a phenotyping system based on field wheat, which was of great significance to improve the efficiency of data collection and reduce the labor intensity of the collectors. Based on the collection and management of phenotyping traits data from sowing to harvesting, combined with barcode recognition, database technology and mobile terminal APP technology, a field wheat phenotyping system was designed and developed, and the data was compared with collection efficiency by manual collection methods. The system was composed of the phenotyping trait collection system APP and the phenotype trait management system Web. The APP development architecture used client/server (C/S), the development language used Java, and the phenotyping traits were collected. As the core, upload collected data to the Web to realize data exchange and sharing between APP and Web; Web development architecture used browser/server (B/S) to realize the distribution of test tasks in the wheat production process, data management, report generation center, and statistical analysis. Compared with the manual data collection method, the application of APP could improve the data collection efficiency by 72%. This system had been realized the rapid collection, efficient management and automatic analysis of wheat phenotyping traits, which ensured the standardization of data collection and management, and improved the efficiency of data collection and utilization. The system could support the phenotyping collection and management of other crops, and it is also suitable for field phenotyping surveys in various industries such as fruits, vegetables and so on.

Design of an Intelligent Virtual Classroom Platform for Ideological and Political Education Based on the Mobile Terminal APP Mode of the Internet of Things

This article uses a software architecture model that combines two architectures, based on the traditional Android environment. Through comparative research on network technology today, Java technology has been selected as a tool for developing network education systems for future research and maintenance upgrades. The underlying network education technology relies on APP to enable education between teachers and students. This technology can not only give play to the advantages of computers in network data transmission, but also embody a new teaching model with teachers and students as the main body. It can solve various practical problems in teacher and student education and educate teachers and students by simulating the actual educational environment of the classroom and educational process using a variety of practical education management strategies. The experimental results prove that with the help of this virtual classroom platform for ideological and political education, it can provide students with more ideological and political learning resources, increase students' interest and time in learning, and promote the diversification of ideological and political learning methods. The quality of teaching is more conducive to the learning of knowledge points for students. At the same time, the system is operating in good condition. Switching between different interfaces is maintained at about 0.1 seconds. The system performance is also perfect. The overall analysis function is basically designed. It is a better learning platform.

Application of Intelligent Laser 3d Visualization Technology in Mobile Terminal (Mobile APP)

Nowadays with the rapid development of mobile terminal, mobile terminal almost completely replaced the various network of our traditional basic life mode, all kinds of network application, people no longer simply need to appreciate the music, games, film and television network, but more needs to be involved in information exchange and sharing all kinds of social activities. The research of 3d image visualization technology is a comprehensive advanced technology which focuses on computer image data processing and image information display. The research purpose of this paper is mainly to provide better Suggestions for the continuous optimization of 3d image visualization technology through the research and application of intelligent laser 3d image visualization technology in mobile APP. This paper mainly analyzes the development of 3d visualization technology in the main application fields and the current status of operation and maintenance system management technology of mobile terminal APP products, and visualizes the product operation and management status of various popular mobile apps on the mobile Internet in 3d. Then, from the current mobile online music APP the application domain of a system verification, the results succeeded in statistical analysis and filter the background user 3 d data volume, its operational efficiency than the daily operational efficiency increased by 30%, background proved that using 3 d data visualization technology can effectively improve the working efficiency of the system and the background, thus effectively improving the efficiency of background management.

Millimeter-wave Respiratory Rate Detection System with WiFi and Android Platform

Sleep monitoring is widely used in health monitoring. Sleep respiratory rate is an important indicator of sleep quality. This paper designs a respiratory frequency monitoring system based on millimeter-wave radar, WiFi communication module and an Android-based mobile terminal APP. The respiratory data collected by the millimeter-wave radar is transmitted to the mobile phone through WiFi module. The phone can directly display the respiratory frequency data and the respiratory frequency in a curve manner. After testing, the system runs stably and reliably, has real-time performance and strong portability, and provides a new application method for millimeter-wave radar.

Ideological and Political Work Information Platform in Colleges and Universities Established Based on Terminal APP

With the development of mobile Internet technology, the Internet has entered the study and life of college students. Enhance its practical effectiveness has become a new subject faced by ideological and political staff in colleges and universities. Starting from the analysis of the status quo of ideological and political work in colleges and universities, with the mobile terminal APP as a research object, we discussed how to use the APP platform established in this paper to carry out network ideological and political education work in colleges and universities.

A behavioral authentication method for mobile based on browsing behaviors

The passwords for unlocking the mobile devices are relatively simple, easier to be stolen, which causes serious potential security problems. An important research direction of identity authentication is to establish user behavior models to authenticate users. In this paper, a mobile terminal APP browsing behavioral authentication system architecture which synthesizes multiple factors is designed. This architecture is suitable for users using the mobile terminal APP in the daily life. The architecture includes data acquisition, data processing, feature extraction, and sub model training. We can use this architecture for continuous authentication when the user uses APP at the mobile terminal.

Design and research of somatosensory wristband based on people with language barriers

Because of their physical defects, people with language barriers are difficult to communicate smoothly with ordinary people who are not familiar with sign language. Therefore, there is an urgent need for a tool that can realize the conversion between the sign language and normal language, so as to meet their needs of exchanging information with the outside world and freely expressing their emotions. Considering the plight faced by people with language barriers, this paper, based on the gesture recognition technology, proposes a set of solutions, which is the comprehensive application of the somatosensory wristband and mobile terminal APP.

APP Design of Energy Monitoring in Smart Campus Based on Android System

Smart Campus is an intelligent and smart environment of teaching, learning and living. It is built on the Internet of Things and application services. Colleges and universities are devoted to the construction and development of the smart campus and have completed some digital campuses of different sizes. However, there are still some problems in the current construction and development process, such as low degree of intelligence, free intelligent functions, energy and resource monitoring is still in the traditional mode of non-intelligent management, the functions of terminal application are still simple, can’t keep up with the intelligent development of the campus. In order to help promote the development of smart campus, we designed a database, smart campus mobile terminal APP. The smart campus APP is based on Android system to monitor and control energy and other nodes in the campus. The monitoring method is real-time, clear and efficient. In addition, smart dormitory, smart classroom and smart map function have also been designed to provide a more convenient and safe living environment for teachers and students in our school. And this APP has laid a solid foundation for establishing a smart, efficient, open, harmonious, humane and safe campus.

An intelligent household greenhouse system design based on Internet of Things

In order to combine indoor greenery conservation with Internet of Things Technologies, this paper designs an intelligent household greenhouse project with the features of comprehensive sensing, reliable transmission and intelligent processing. Through the analysis of functional requirements of the intelligent household greenhouse system, an intelligent household greenhouse system is designed with the functions of greenhouse environmental data detection, greenhouse environmental control regulation, data remote transmission and human-computer interaction. Its sensor layer collects environmental data in real time based onthe ZigBee wireless sensor network. The network layer STM32 intelligent gateway coordinates with network server, so as to exchange data from sensor layer to application layer, and solve the problems of non-blocking of data sending and receiving as well as concurrent requests of multiple mobile terminals. The application layer is designed into two types. One is a desktop management system as a data storage and analysis center, and the other is a mobile terminal APP. At the same time, we design a communication protocol that is applicable to the interaction of the three-layer structure of the Internet of Things, with the characteristics of simplicity, stability, readability, and scalability. It can avoid the mutual influence of multi-level data exchange and ensure the correctness of data circulation. In the design, the system sensor layer ensures stable transmission of various data and instructions, and the network layer has a high degree of concurrency and real time. And various measurement and control data of the sensor layer can interact with the data of mobile-terminal equipment of the application layer. What’s more, the desktop management system and mobile terminal APP can monitor greenhouse data in real time and control various actuators in the greenhouse.

Development and design of mobile terminal APP for greenhouse environment control

According to the needs of remote control of the greenhouse environment, it is proposed to develop a mobile greenhouse environment control APP based on the Android 2.3.3 platform, so that users can view the greenhouse environmental parameters in real time on the smart phone and remotely control the greenhouse implementing agency according to the acquired greenhouse data to improve the greenhouse environment.The greenhouse environment control APP is characterized by its portability, flexibility, and high real-time nature to allow crops to grow in the most suitable environment,which can increase production efficiency and economic efficiency.The experimental results show that the greenhouse control APP can obtain real-time and accurate greenhouse environmental parameters, realize the real-time and reliable monitoring and control of the greenhouse, and the operation interface is simple, and the extensibility is strong.