Addressing the Issues and Developments Correlated with Envisaged 5G Mobile Technologies: Comprehensive Solutions

Fifth Generation(5G)communications are regarded as the cornerstone to household consumer experience improvements and smart manufacturing revolution from the standpoint of industries’objectives.It is anticipated that Envisaged 5G(E5G)mobile technology would be operational in certain developed countries by 2023.The Internet of Things(IoTs)will transform how humans live when combined with smart and integrated sensing devices,such as in-home sensing devices.Recent research is being carried out all over the world to produce a new technique that can be crucial in the success of the anticipated 5G mobile technology.High output,reduced latency,highly reliable,greater scalability,high performance,capacity,bandwidth efficiency,virtual open-air transmission,and efficient energy mobile wireless communications are all being investigated currently.In this work,a comprehensive path for addressing the difficulties and developments associated with 5G mobile technology is provided.The debate and description of a complete analysis of current situations,certain characteristics and prospective scenarios,important technologies,problems and advances,and spectrum allocation of envisioned 5G mobile technologies are provided.Furthermore,this paper analyzes the most notable elements of 5G mobile technology,such as Cognitive Radio(CR),flexibility,accessibility,and cloud-based service offers,which will assure 5G mobile technology’s dominance as the main protocol for international communication.Eventually,this paper provides a method for integrating CR with current wireless communication systems,the necessity for further evolution of the E5G network,and the need for comprehensive consideration of architecture evolution and function enhancement to enhance the E5G mobile technologies.

Application of Mobile Technology and Information Management in Emergency Pre- Examination and Triage

The primary objective of emergency pre-examination and triage is to provide the most appropriate clinical service to patients with acute and critical illnesses while ensuring the optimal utilization of limited medical resources.With the advancement of medical information technology,mobile technology,and information management,these features have been gradually incorporated into emergency pre-examination and triage and have shown promising outcomes.In this article,the benefits of implementing mobile technology and the current status of integrated information management to provide a reference for the future development and enhancement of emergency pre-examination and triage are reviewed.

Mobile Technologies Adoption: An Exploratory Case Study

Based on the theory of task-technology fit and literature review of mobile technology acceptance, a research model is presented based on the features of mobile technologies and the actual usage of mobile applications in business environments, which identifies the characteristics of mobile applications and fitting tasks. An exploratory case is studied to understand how ABC Company, Hong Kong, utilizes mobile selling applications in their sales management process. This study gives some managerial suggestions for enterprises to successfully use mobile applications.

The Status Quo and Future of Mobile Internet Technologies

On the basis of an initial introduction to the status quo in the worldwide research on mobile Internet technologies, this paper presents the problems encountered during the research and points out some key points and research goals in this field. It infers that it is necessary to perform research on issues such as new Internet routing theories and protocols, structural characteristics of changing networks, multicast theories in mobile Internet environment and IPv6-based wireless IP network theories.

Standards for Mobile Internet Technologies

In order to ensure interoperability of basic mobile applications, the Open Mobile Association (OMA), from the perspective of mobile application, developed the mobile application layer technical standards for technology engines and carried out the interoperability test. From the perspective of fixed Internet, the World Wide Web Consortium (W3C) developed the technology standard based on basic Web applications, laying the foundation for Web-based mobile Internet applications. There are a number of important technology engines supporting mobile Internet services, including the engine for Internet access and download, the engine for providing status of mobile users and mobile terminals, the engine for community/group administration, the engine for mobile search, and the engine for classification-based content filtering.

Prediction of Traffic Volume of Motor Vehicles Based on Mobile Phone Signaling Technology

Urban traffic volume detection is an essential part of trafficplanning in terms of urban planning in China. To improve the statisticsefficiency of road traffic volume, this thesis proposes a method for predictingmotor vehicle traffic volume on urban roads in small and medium-sizedcities during the traffic peak hour by using mobile signal technology. Themethod is verified through simulation experiments, and the limitations andthe improvement methods are discussed. This research can be divided intothree parts: Firstly, the traffic patterns of small and medium-sized cities areobtained through a questionnaire survey. A total of 19745 residents weresurveyed in Luohe, a medium-sized city in China and five travel modes oflocal people were obtained. Secondly, after the characteristics of residents’rest and working time are investigated, a method is proposed in this studyfor the distribution of urban residential and working places based on mobilephone signaling technology. Finally, methods for predicting traffic volume ofthese travel modes are proposed after the characteristics of these travel modesand methods for the distribution of urban residential and working placesare analyzed. Based on the actual traffic volume data observed at offlineintersections, the project team takes Luohe city as the research object and itverifies the accuracy of the prediction method by comparing the predictiondata. The prediction simulation results of traffic volume show that the averageerror rate of traffic volume is unstable. The error rate ranges from 10% to 30%.In this thesis, simulation experiments and field investigations are adopted toanalyze why these errors occur.

Using Blockchain Technology in Mobile Network to create decentralized Home Location Registry(HLR)

Blockchain can mean many things to many people.It is a set of protocols and encryption technologies for securely storing data on a distributed network for the developers.It is a distributed ledger for business and finance and the technology underlying the explosion of new digital currencies.For technologists,it is the driving force behind the next generation of the internet.On the other hand,it is a transformational technology facilitating large-scale human progress in previously unimagined ways for the rest of the people,a tool for radically reshaping society and economy.Some view it as a disruptive technology that can be the source of a great deal of fraud,illegal activity,where others see opportunities to bring into existing systems by providing decentralization,transparency,and efficiency.This complex technological,economic,and social phenomenon has been the subject of fervent debate.It calls into question what might have been seen to be established parameters of the modern world like currency,economics,trust,value,and exchange.It is a revolutionary new computing paradigm and one of the most significant,fundamental digital platforms’advances since the internet.It is an emergent technology experiencing very rapid evolution,and so is our understanding of what it is and what it can be.This paper is subject to the use of Blockchain concepts in mobile networks to strengthen the Home Location Registry(HLR)database and make it decentralized for secure transactions and in banking and financial centers.Blockchain also holds potential implications for global commerce.It could make trade more efficient by removing the manual and paper-based processes and introducing streamlined and automated processes.

Ultra Mobile Broadband Technology Overview and Competitive Advantages

To efficiently meet the increasing demands for mobile broadband, Ultra Mobile Broadband (UMB) is designed to complement 3G deployments. It is equipped with all the necessary features for optimal support of real-time and best-effort traffic with seamless mobility. This article overviews the UMB technology, and discusses its competitive advantages, which are fast time to market, flexible deployment options, inherently designed for real-time services and flexible IP-based network architecture. Moreover, the article analyzes key UMB design features, including Orthogonal Frequency Division Multiple Access (OFDMA), advanced antenna techniques, Reverse Link (RL) sector capacity optimization, adaptive interference management mechanisms, efficient RL control design, low-overhead signaling, fast seamless handoffs, multi-carrier support and beacons, enhanced terminal battery life, and flexible IP-based network architecture. UMB is well suited to be at the center of the future that melds broadband applications with faster, more capable mobile multimedia devices. UMB’s competitive advantages provide operators with continuous differentiation today and tomorrow.

IPv4 Based Reliable Mobile Multicast Technology

The mobile multicast technology has been a research hotspot in the wireless Internet field in recent years.Quite a large part of its applications requires the reliability in a mobile environment to be equivalent to that provided by wireline links.However,the inherent features of a mobile environment,that is,high error rate of links and dynamically changing multicast members’ locations,are great difficulties for mobile multicast,let alone reliable mobile multicast.The IPv4-based reliable mobile multicast algorithms come with two different design philosophies.A part of the algorithms is to be improved for better reliability by solving existing algorithm-related problems;while other algorithms are to implement reliable mobile multicast with new function entities introduced to guarantee reliability.

Mobile Technology and Dissemination of Information in the Kenyan Insurance Industry

It is estimated that only 15 percent of Kenyans have made plans for retirement, and many people fall into poverty once they retire. A 2018 survey by the Unclaimed Property Asset register found that insurance companies hold 25 percent of unclaimed funds with 10 percent belonging to pensioners. This was attributed to a lack of effective information flow between insurance companies and the customers and also between various departments in the insurance companies. Further, there were numerous cases of loss of documents and files and certain files were untraceable in the departments. This paper investigates ways in which mobile technology influences dissemination of information for processing pension claims in the insurance industry. An improvement in dissemination of information for processing of pension claims can carry out a key function in increasing percentage of Kenyans making plans for retirement. The study deployed a descriptive study design. The target population in this study was 561 pensioners in Jubilee Insurance and 8 heads of pensions business, finance, legal services, internal audit, operations, information and communication technology, actuary, business development and strategy and business development departments. The sample size of this study was obtained by use of Krejcie and Morgan formula of determining sample size. As a result of the small number of heads of departments, they were not sampled. Through systematic sampling a sample of 288 pensioners was selected from the list of pensioners in Jubilee Insurance. The findings from the study led to a conclusion that mobile application has a positive and significant association with dissemination of information for pension claims processing in Jubilee Insurance. It was further revealed that text messages have a positive and significant influence on dissemination of information. Concerning unstructured supplementary service data (USSD) it was concluded that it has a positive and significant influence on dissemination of information. The study findings also revealed that voice calls have a positive and significant influence on dissemination of information for pension claims processing in Jubilee Insurance.

An Expert System Oriented towards the Detection of Influenza and Dengue Developed on Mobile Platforms

Nowadays, mobile technology makes it possible for us to realize processes in a relatively short amount of time, showing the user friendly and efficient interfaces that any person is capable of adapting to. Continuing this trend, we develop a mobile application that aids in giving an early diagnosis of Influenza and Dengue, two diseases that affect approximately 5% of the world population (in the case of Dengue) and 5% - 15% of the northern hemisphere (in the case of influenza). Our application consists of an expert system based on fuzzy logic that analyzes symptoms introduced by the user and formulates a diagnosis in approximately 2 - 4 minutes. This system considerably reduced the diagnostic time, improving the recuperation process from these diseases due to their early detection.

A Discussion on the Practical Teaching Reform of Intelligent Mobile Terminal Technology Course

In this intelligent era,there is a high market demand for professional engineering talents in the computer industry.Based on engineering education accreditation,this paper briefly discusses the practical teaching reform of the intelligent mobile terminal technology course,which involves integrating theory with practical,taking students as the center,focusing on practical teaching,strengthening students’practical skills and computer application development skills,as well as promoting the construction and development of engineering accreditation.

Some Results of Direct FR Technology Applied to Study Methane Seepage Areas in the Arctic Region

The experimental study of the seepage processes’sources formation in structures of the Arctic Region was carried out using modified methods of frequency-resonance(FR)processing and decoding of satellite images and photographs with the vertical scanning of the cross-sections.The newly obtained results show that the intensity and dynamics of the methane seeps and pockmarks fields’formation depend on active deep degassing processes in the continental margin structures.The use of direct FR-sounding technologies allows for determining the probable origin and depth of geological sources of gas migration at marginal migration centers in Greenland,and Norwegian and Barents Seas.New results confirm the crust-mantle gas fluids’influence on the nature and degassing processes features in the scan points of polar marginal structures.These data are important arguments in favor of the“volcanic model”of various structural elements formation in this and other regions.The FR technologies data also showed a possibility of seeps use as shallow and deep hydrocarbon field indicators in gas emission areas.These independent data can be used in compiling models of the deep lithosphere structure and possible mechanisms of abiogenetic hydrocarbon formation in Arctic margin structures.The authors suppose that hydrocarbons through deep channels migrate(from 57 km deep)to the upper crustal horizons where their fields can form.During this migration,gas seeps and pockmarks are formed on the sea bottom and part of the gas can migrate into the atmosphere.Data show that basaltic volcanoes in Greenland scan points can be the real channels through which hydrogen migrates to the upper crustal horizons and further into the atmosphere.Active gas migration in Arctic seepage areas can be an important factor in the global climate change processes.

Unmanned aerial vehicle based intelligent triage system in mass-casualty incidents using 5G and artificial intelligence

BACKGROUND:Rapid on-site triage is critical after mass-casualty incidents(MCIs)and other mass injury events.Unmanned aerial vehicles(UAVs)have been used in MCIs to search and rescue wounded individuals,but they mainly depend on the UAV operator’s experience.We used UAVs and artificial intelligence(AI)to provide a new technique for the triage of MCIs and more efficient solutions for emergency rescue.METHODS:This was a preliminary experimental study.We developed an intelligent triage system based on two AI algorithms,namely OpenPose and YOLO.Volunteers were recruited to simulate the MCI scene and triage,combined with UAV and Fifth Generation(5G)Mobile Communication Technology real-time transmission technique,to achieve triage in the simulated MCI scene.RESULTS:Seven postures were designed and recognized to achieve brief but meaningful triage in MCIs.Eight volunteers participated in the MCI simulation scenario.The results of simulation scenarios showed that the proposed method was feasible in tasks of triage for MCIs.CONCLUSION:The proposed technique may provide an alternative technique for the triage of MCIs and is an innovative method in emergency rescue.

基于4G的机器人与云平台无线数据传输系统设计

将机器人采集到的温度、湿度和位置等数据信息传送至云平台服务器,便于云端数据分析、机器人数据共享以及人机信息交互等。本文应用第4代移动通信技术(the 4th generation mobile communication technology,4G)无线传输技术,设计的机器人与云平台无线数据传输系统主要包括硬件和软件实现2个部分,硬件方面机器人通过32位微控制器(STMicroelectronics32,STM32)嵌入式系统与4G模块组合,将传感器采集到的数据信息,通过Internet网络传输到云平台服务器中,软件部分运用C语言编程通过网络透传模式(transmission control protocol/user datagram protocol, TCP/UDP)实现无线通信过程,最终实验验证了机器人与云平台服务器之间的双向无线数据传输功能。

Spatio-Temporal Cellular Network Traffic Prediction Using Multi-Task Deep Learning for AI-Enabled 6G

Spatio-temporal cellular network traffic prediction at wide-area level plays an important role in resource reconfiguration,traffic scheduling and intrusion detection,thus potentially supporting connected intelligence of the sixth generation of mobile communications technology(6G).However,the existing studies just focus on the spatio-temporal modeling of traffic data of single network service,such as short message,call,or Internet.It is not conducive to accurate prediction of traffic data,characterised by diverse network service,spatio-temporality and supersize volume.To address this issue,a novel multi-task deep learning framework is developed for citywide cellular network traffic prediction.Functionally,this framework mainly consists of a dual modular feature sharing layer and a multi-task learning layer(DMFS-MT).The former aims at mining long-term spatio-temporal dependencies and local spatio-temporal fluctuation trends in data,respectively,via a new combination of convolutional gated recurrent unit(ConvGRU)and 3-dimensional convolutional neural network(3D-CNN).For the latter,each task is performed for predicting service-specific traffic data based on a fully connected network.On the real-world Telecom Italia dataset,simulation results demonstrate the effectiveness of our proposal through prediction performance measure,spatial pattern comparison and statistical distribution verification.

Progress of the satellite laser ranging system TROS1000

The mobile satellite laser ranging system TROS1000, successfully developed in 2010, achieves a high repetition rate and enables daytime laser ranging. Its measurement range has reached up to 36000 km with an accuracy as precise as 1 cm. Using recent observations in Wuhan, Jiufeng, Xianning, and Rongcheng, Shandong, we introduce the progress made using this mobile observation system.

Assessment of a Downloadable Application with Avatar Guidance for PT-Prescribed Home Exercise after Total Knee Arthroplasty: A 30-Day Usability and Feasibility Study

Objective: To explore the usability and feasibility of a downloadable application (APP) compared to paper handouts (CONTROL) in guiding 30 days of PT-prescribed home exercise after total knee arthroplasty (TKA), and to compare functional outcomes at 30 days postoperatively between APP and CONTROL. Design: Randomized controlled usability and feasibility study. Setting: Rehabilitation laboratories at two regional medical centers. Participants: Individuals with knee osteoarthritis undergoing unilateral TKA (APP group: N = 26;mean age, 67.0 ± 8.2 y;CONTROL group: N = 31;mean age, 64.7 ± 7.7 y). Interventions: This study assessed the user experience of a downloadable app to guide 30 days of home exercises and instruction after TKA and compared exploratory outcomes to a group using paper handouts. Main Outcome Measures: The System Usability Scale (SUS) score was used to assess patient usability experience. Raw SUS scores were dichotomized (≥72% or <72%) to determine app usability against a 75% a priori criterion for mean APP group score. Feasibility for app use was similarly evaluated in the APP group only through a priori criteria applied to computing device ownership and study use, to the absence of technology-based barriers to participation, and to completion of app-based testing. Exploratory measures compared change from baseline to 30 days for functional and patient-reported outcomes between APP and CONTROL. Results: The APP group’s mean SUS score of 79.2% at 30 days exceeded the 75% threshold for good usability. The app met the predetermined a priori feasibility criteria for absence of technology-based barriers to participation (75% of participants) and completion of app-based testing (91.3% of participants). Personal computing devices were used by 71.4% of APP participants, which was below the 75% a priori feasibility criterion. No differences between the APP and CONTROL groups were observed for functional or patient-reported outcomes. Conclusions: The app-based platform met the a priori criteria for usability for 79% of APP participants. Our findings suggest that app-based, avatar-guided home exercise after TKA has acceptable usability and feasibility. The app-guided patient assessment capability also demonstrates preliminary feasibility for guiding and administering functional and self-reported outcomes assessments.

Impact of Mobile Technology and Use of Big Data in Physics Education During Coronavirus Lockdown

The speed of spread of Coronavirus Disease 2019 led to global lockdowns and disruptions in the academic sector.The study examined the impact of mobile technology on physics education during lockdowns.Data were collected through an online survey and later evaluated using regression tools,frequency,and an analysis of variance(ANOVA).The findings revealed that the usage of mobile technology had statistically significant effects on physics instructors’and students’academics during the coronavirus lockdown.Most of the participants admitted that the use of mobile technologies such as smartphones,laptops,PDAs,Zoom,mobile apps,etc.were very useful and helpful for continued education amid the pandemic restrictions.Online teaching is very effective during lock-down with smartphones and laptops on different platforms.The paper brings the limelight to the growing power of mobile technology solutions in physics education.

A model-based analysis for mobile knowledge management in organizations

The consumerization of information technology(IT)has created a growing population of mobile knowledge workers that requires organizations to implement appropriate strategies of mobile knowledge management to support their businessrelated activities.This research presents and investigates an analytical model of mobile knowledge management by capturing the mutual effects of a central knowledge base and individual mobile devices for a mobile platform.Weinvestigate the best technology level of the mobile platform for both the homogeneous and heterogeneous settings and explore how they change with several critical factors including the central knowledge base,environmental mobility and knowledge volatility.Our model-based framework and analytical results provide valuable insights for practitioners to effectively design mobile platforms and manage mobile knowledge assets.