Mobile Network Platform Research Articles

Visual perception and deep learning in smart homes and the Internet of Things

In recent years, IOT (Internet of Things) has been widely used in the field of smart homes. IOT technology is an important stage in the development process of the "digital information age", with a history of more than ten years of development. It is widely used in the communication industry, especially in the field of smart homes. The basic principle of DL is to establish a multi-layer neural learning network, which learns a large amount of data to obtain better features and improve the accuracy of classification and recognition. This article conducts research on the visual perception of smart homes based on DL (Deep Learning) and IOT. Utilizing an intelligent gateway to achieve the mutual conversion of the underlying ZigBee protocol and in ternet protocol, the cloud service platform is interacted with by the Netty middleware and gateway. The entire system is centered around the Internet cloud platform, connecting the underlying IOT devices and the mobile network platform of the application layer to achieve the construction of a smart home system. The device then collects the user's EEG signals in real-time and hands them over to a trained specific network for classification. Finally, based on the classification results, the serial device sends signals to the smart home terminal to achieve the final practical operation actions, such as turning on the lights and fans.

Flexible metasurfaces as sub-6 GHz frequency selective surfaces for 5G applications

The deployment of fifth-generation mobile network (5G), beyond 5G and sixth-generation mobile network platforms encounters challenges of blockage, interference, and path loss in radio mobile environments. Metasurfaces provide a promising solution to address these limitations. In this paper, we present a methodology for developing ultrathin flexible metasurface-based frequency selective surfaces (FSSs). Our approach combines thermal evaporation for metallic thin films with a macroscopic metasurface mask (something analogous to screen-printing but using thermal evaporation instead of inks). As a proof of concept, we fabricate a sub-6 GHz metasurface-based FSS using gold deposition on a flexible polyethylene terephthalate substrate. Experimental results are validated through numerical full-wave simulations using COMSOL Multiphysics and equivalent-circuit model simulations. The metasurface operates within the primary frequency band utilized in 5G networks (3–5 GHz), indicating its potential applicability across a wide range of flexible, conformal, and wearable devices. The fabricated FSS can be installed on surfaces of any shape, such as flat or curved windows, as well as on walls or other external surfaces. This methodology offers practical solutions for wireless communications and enhancing signal transmission in diverse environments.

Evaluation of the mental health status of community frontline medical workers after the normalized management of COVID-19 in Sichuan, China.

During the coronavirus disease 2019 (COVID-19) pandemic, community medical workers, as the primary enforcers of community control measures, undertook many tasks with high exposure risk, resulting in severe psychological pressure, anxiety, depression and other psychological problems. Gender, type of workers, education, marital status, working years and other demographic factors were affect the mental state of medical workers. Community frontline medical workers gradually returned to normal work and life after the normalized management of COVID-19, but heavy work and high psychological pressure may continue to affect them. Thus, our research team used the same psychological questionnaire to investigate the psychological status of community frontline medical workers after the normalized management of COVID-19 compared with the COVID-19 period. This was a cross-sectional study of community frontline medical workers in Sichuan, China, from February 6 to 17, 2023. Symptom Checklist-90 (SCL-90) and a self-designed questionnaire of demographic characteristics were provided to the participants point-to-point through a mobile network platform. Multiple logistic regression was used to analyze influencing factors related to community frontline medical workers' psychology. A total of 440 valid questionnaires were statistically analyzed, including 192 (43.64%) from doctors and 248 (56.36%) from nurses. There were 222 (50.45%) participants who were SCL-90 positive. The median total SCL-90 score of medical workers was 105.0 (IQR 95.00-123.75), which was higher than that during the COVID-19 period. The doctor's median SCL-90 score was 108.5 (IQR 96.00-136.25), and the positive item score was 16.5; the nurse's median score was 104.0 (IQR 94.00-119.50), and the positive item score was 12.0. Bachelor's degree education, no fixed contract and working years (10-19 years, 20-29 years, 30-39 years) were independent influencing factors for community frontline medical workers' psychology. After the normalized management of COVID-19, community frontline medical workers still suffered from psychological problems that were even more serious than those during COVID-19. Doctors were more likely to have psychological problems than nurses. In addition, the mental health status of community frontline medical workers was affected by education, type of contract and working years. Managers should pay attention to the mental health of these people.

Mobile Money Operations: Policies for Managing Cash and Digital Currency Inventories in the Developing World

Problem definition: Mobile money systems—platforms built and managed by mobile network platform operators (MMPOs) to allow money to be stored as digital currency—connect millions of poor and “unbanked” people to the formal financial system. Unfortunately, low service levels because of the suboptimal management of cash and digital currency (e-float) inventory impede the development of these ecosystems. Accordingly, we seek to answer the question of how agents should manage inventories of cash and e-float. Academic/practical relevance: This paper extends inventory theory to the mobile money context, unique in that sales of cash generate inventory of e-float and vice versa. In doing so, we address a key pain point for an emerging sector that improves lives at the base of the pyramid. Methodology: We develop an analytical heuristic to determine initial stocking levels for cash and e-float and analyze its performance on simulated and actual data. Results: By partnering with an MMPO, we tested the performance of the heuristic inventory policy with data from more than 35 million transactions. The heuristic captured 99.9998% of the optimal profit on simulated data and, on actual data, we found that following the recommendations could increase agents’ profits by an average of 15.4%. Managerial implications: We develop a pragmatic inventory policy that performs nearly optimally. We also analyze under which conditions the performance deteriorates and examine heterogeneity among agents with respect to the heuristic’s impact on their performance. Thus, we equip MMPOs with guidance as to whom to target and how. By contributing to service level and profit improvements, this work can make mobile money a more effective financial inclusion tool in the developing world as well as improve the livelihoods of agents. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.1175 .

Design and Application of Land Resource Management System Based on Internet of Things

In order to further solve the problems existing in the process of land resource management of relevant departments of land and resource management, realize the information management of land resources, and promote the efficient utilization of land resources and scientific information management, this paper proposes a land resource management system based on Internet of things technology. With the help of resource allocation and management algorithm based on the needs of Internet of things users and land resource management requirements, this paper constructs a land resource management system based on Web and mobile network platform. The system development takes Java as the background programming language, constructs the database based on Oracle 9i, and uses GIS/GPS and other electronic map functions to realize the accurate display and resource sharing of land resource information. In the system test, 60, 120, 240, and 360 concurrent users are simulated to access the system at the same time. The connection success rates of the corresponding system are 97.2%, 97.5%, 98.3%, and 96.6%, respectively, which fully verifies the good performance of the system; it can be widely used in land resource information management.

Associations between Mobile Internet Use and Self-Rated and Mental Health of the Chinese Population: Evidence from China Family Panel Studies 2020.

With societal and technological developments, mobile Internet has become the most popular and widespread means to use the Internet in China. Thus, exploring the relationship between mobile Internet use and the self-rated health and mental health of the Chinese population is of great importance. This study empirically examined the impact of mobile Internet use on residents’ health using data from the China Family Panel Studies 2020 and conducted a heterogeneity analysis. The results revealed a significant negative association between mobile Internet use and the self-rated health of the population, but a significant positive association was found relative to their mental health. The results of this analysis passed a robustness test. The results of the heterogeneity analysis showed that mobile Internet use had a more significant association with the health of residents with secondary school education and university education compared to those with primary school education or below and graduate education. Furthermore, this study addresses the endogeneity problem using the propensity-score matching model, which is shown to be better at eliminating sample selectivity bias. If endogeneity is not addressed, the negative association with mobile Internet use on residents’ self-rated health will be underestimated and its positive association with their mental health will be overestimated. The Chinese government should issue guidelines on the duration of Internet use, strictly regulate exaggerated and harmful content on mobile network platforms, and strengthen people’s online skills through training to improve their digital literacy, especially for rural populations.

Design of a phased array with a beam scanning functionality based on the arithmetic phase difference

The demand for phased array antennas increases not only for the traditional military industry but also in commercial areas such 5G mobile network platforms, Internet of Things (IoT), and satellite communication applications. In this paper, a phased array with beam scanning function is designed based on arithmetic phase difference between array elements. In the design process, the initial complex model is simplified into a simple element model with periodic conditions, which makes the analysis faster and more efficient. Finally, two phased array designs based on microstrip patch antenna are studied, and the simulation results verify the correctness of the design method.

Empirical Research on Cosmetic Lipstick Sales under C2C E-Commerce Platform for Consumers’ Buying Intention in Dazhou of China

With the development of e-commerce and the accelerating pace of work and life, more and more people accepted online shopping. The number of online users in China increased, and the mobile network platform had gradually matured with the acceleration of development in the C2C e-commerce transaction model. The paper mainly analyzed the challenges of developing cosmetic lipstick marketing in Dazhou City, then explored the influencing factors to purchase intention, and lastly suggested a promotional strategy regarding pre-and after-sales.

Reform and Application of Biochemistry Teaching Based on Formative Evaluation of Mobile Network Platform

Objective: To explore the construction and implementation of a formative evaluation system based on the mobile network platform in biochemistry teaching. Methods: The biochemistry online course is established on “Xuexitong” mobile network platform. Based on the online course, a comprehensive formative evaluation system is constructed, including segmented and diversified evaluation before, during, and after class with the integration of online and offline to perform a formative evaluation on the biochemistry teaching for students in 2017 undergraduate medical-related majors. Results: 95.7% of the students achieved excellent scores, and 1.3% failed to pass the online periodic examination, 97.1% of the students liked the online examination method, 46.7% of the students liked the homework assigned after each class, and 28.8% of the students liked to practice once a weak, 99.6% of the students thought that Xuexitong was helpful to biochemistry study. Conclusions: The formative evaluation based on the mobile network platform is a useful evaluation method that requires further study.

RETRACTED ARTICLE: Investigation of the evaluation system of SMEs’ industrial cluster management performance based on wireless network development

Today, with the rapid development of mobile Internet technology, the operation of enterprises is basically based on the mobile network platform. Therefore, the study of the evaluation system of SMEs’ industrial cluster management performance based on wireless network development is proposed. After briefly describing the relevant research of industrial cluster performance evaluation, the knowledge innovation of wireless network era is the core of SME industrial cluster management, and a set of industrial cluster management performance evaluation index system has been constructed. Based on this, a comprehensive evaluation method based on neural network algorithm is designed. In a subsequent experiment, it is demonstrated that this method can evaluate the level of cluster management performance.

Construction and Optimization of Ideological and Political Education for College Students Based on Mobile Network Platform

Construction and Optimization of Ideological and Political Education for College Students Based on Mobile Network Platform

Services and Applications Based on Mobile User’s Location Detection and Prediction

Many wireless applications are deployed and available to customers via their mobile phones. Variety of these applications and services are based on determination of the current or future location of mobile user. Location based services (LBS) are one of the vital applications which are subdivided into two main categories: economical category and public category. Economic applications include mobile marketing, entertainment and tracking applications. Whereas, emergency cases, safety, traffic management, Muslims’ applications and public information applications are sort of public applications. The first part of the paper presents a new proposed system with developed procedure to recreate public and economic applications with high positioning accuracy and good authentication of users’ data. The developed system is created to enhance both location based services and network allocation resources within mobile network platform using either normal or GPS supported mobile equipment. The second part of the paper introduces future location prediction of mobile user dependent applications. New algorithm is developed depending on utilizing both intra-cell Movement Pattern algorithm (ICMP) [1] and hybrid uplink time Difference of Arrival and Assisted GPS technique (UTDOA_AGPS) [2]. It has been noticed that ICMP algorithm outperforms other future location prediction algorithms with high precision and within suitable time (less than 220) msec. However, UTDOA_AGPS guarantees high precession of mobile user independent of the surrounding environment. The proposed technique is used to enhance reliability and efficiency of location based services using cellular network platform.

MAP BASED INTRA-CELL METHOD FOR LOCATION PREDICTION OVER UMTS NETWORK PLATFORM

Location based services (LBS) and their applications are regarded as the mostgrowing services applied on communication systems. According to the greatenhancement in the mobile network platform and its related database servers,we are not only able to develop LBS applications but also to enhance theperformance of mobile networks. Future location prediction of mobile userresults in great enhancement in LBS applications and mobile networkperformance. Many researches were introduced to predict location of mobileuser. In [7] User Mobility Pattern (UMP) algorithm based on sequentialmining prediction has been developed to deal with future location prediction inmobile networks. The main limitations of this pattern are: map based intra cellprediction cannot be extracted and the timestamps aren't associated with rules.In [8], another method has been introduced using All frequent MovementPattern (ALLMOP) algorithm for extracting all frequent movement patternswithin movement Rule based Location Prediction method (RLP). RLP methodworks on GPS network map based platform without manipulating cell to cellmovement. So, it can't be used to enhance mobile network's resource allocationand mobility management. In this paper we proposed a new method, Intra CellMovement Prediction (ICMP), for mobile user's future location prediction onUniversal Mobile Telecommunication System (UMTS) environments to benefitfrom both intra and inter cell based techniques for both network and servicesenhancement. The proposed method depends on map based intra-cellprediction and utilizes the network database and positioning techniques inextracting user trajectories and movement rules. As a result, the user positioncan be predicted for the next movement step. The performance of the proposedalgorithm is evaluated through computer simulation and compared with that of[7] and [8]. The simulation results indicate that the proposed method is highlyefficient for both network and services' improvements as it is used to enhancelocation based services with satisfactory accuracy, network's resourceutilization, reduce the latency in accessing resources and mobilitymanagement.

A Service Oriented Framework for Multimedia Radio Networks

In order to enable fast deployment of new emerging services over multimedia radio networks, it is important to design an efficient service-based platform with necessary traffic management. Among the solutions, mobile network platforms must be able to answer efficiently and on time to the expectations of the users through dynamic adaptation of the architecture to answer the demands on time and with the minimum cost. it runs dynamically by modifying services features according to subscribers’ requirements, network capacity and QoS parameters. In this paper, we propose a new service oriented framework for wireless radio networks, based on a hybrid algorithm in which we adopt an adaptive approach toward optimal traffic distribution. It is inspired from methods from graph theory, operational research, network optimization and load balancing work. We use media streaming for “Emergency Services” as an example to illustrate how such a service can be provided. Performance evaluation shows that the platform can substantially improve the conventional approach and achieves similar performance than the one obtained by hybrid scheme. We present in this paper some results which show the congestion status of servers and links obtained from the simulation platform.