Digital Mobile Communication Research Articles

Investigating the relative accuracy of GPS, GSM and CDR data for inferring spatiotemporal travel trajectories

AbstractThe potential of passively generated big data sources in transport modelling is well‐recognised. However, assessing their accuracy and suitability for policymaking remains challenging due to the lack of ground‐truth (GT) data for validation. This study evaluates the accuracy of inferring human mobility patterns from global positioning system (GPS), call detail records (CDR), and global system for mobile communication (GSM) data. Using outputs from an agent‐based simulation platform (MATSim) as ‘synthetic GT’ (SGT), synthetic GPS, CDR, and GSM data were generated, considering their positional disturbances and conventional spatiotemporal resolutions. Mobility information, including activity location, departure time, and trajectory distance, derived from the synthetic data, was compared with SGT to evaluate the accuracy of passive trajectory data at both disaggregate and aggregate levels. The results indicated a higher accuracy of GPS data in identifying stay locations at high resolution. But, GSM data at a lower resolution effectively accounted for over 80% of the variability in stay locations. Comparisons of departure time distribution and travel distance revealed higher measurement errors in GSM and CDR data than in GPS data. The proposed simulation‐based accuracy assessment framework will aid transport planners select the most suitable data for specific analyses and understand the potential margin of error involved.

Smartphone-based markers of social connectivity in schizophrenia and bipolar disorder

Social isolation and social impairment are hallmarks of progression as well as predictors of relapse in psychiatric disorders. We conducted a pilot study to assess the feasibility of sensing the social activity phenotype and loneliness using active and passive markers collected using a smartphone application. The study included 9 schizophrenia and bipolar disorder patients followed in the Bipolar Longitudinal study for at least 1 month and for whom mobile communication data was collected using the Beiwe smartphone application. Subjects completed daily surveys on digital and in-person social activity, and feelings of being outgoing or lonely. We described the level and variability of social activity features. We employed k-means clustering to identify “important contacts”. Further, we investigated whether social network-derived features of mobile communication are independent predictors of weekly counts of outgoing calls and text, weekly average self-reported digital social activity, and loneliness using mixed effect models and clustering with dynamic time warping distance. Subjects were followed between 5 and 208 weeks (number of days of observation = 2538). The k-means cluster analysis approach identified the number of “important contacts” among close friends and family members as reported in clinical interviews. The cluster analysis and longitudinal regression analysis indicate that the number of individuals a person communicates with on their phone is an independent predictor of perceived loneliness, with stronger evidence when “important contacts” only are included. This study provides preliminary evidence that the number of “important contacts” a person communicates with on their phone is a promising marker to capture subjects’ engagement in mobile communication activity and perceived loneliness.

Implementation of VCDLN-Learning Multiplatform Through Mobile Communication Based on Artificial Intelligence in Asia

Purpose: This research is a continuation of the previous year, namely 2022, which functions to implement VCDLN through Mobile Communication-based TVUPI media which uses Android Mobile Phones in building a distance learning system in Asia. In doing so, it is carried out based on the work of Artificial Intelligence (AI). Method: This research uses the Research and Development method through the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Specifically, implementation involves assessments from teachers from Indonesia, Japan, and South Korea. Meanwhile, evaluation indicators use indicators from AI from Expert. Result and Conclusion: In addition, the opinions of educators from South Korea Japan, and Indonesia support the expansion of VCDLN-Learning through Mobile Communication Based on AI services to other countries. Three aspects of the AI Framework tend to get high scores, namely the Deep Learning aspect with scores of 185, 187, and 189. Then the Robotics aspect with scores of 187, 192, and 195, and the Neural Network aspect with scores of 192,196 and 198 from a maximum score of 200. Implementation of The Research: This finding is reinforced by the thought of AI experts that the VCDLN innovation applies the framework of AI, especially in building mobile communication and fast access automation systems from Big Data for Mobile VCDLN-learning in Learning Services. Originality/Value: This research contributes to existing literature regarding Virtual Community Digital Learning, Television Technology, media, and digital applications regarding mobile communication. Strengthening the contribution of theories about Artificial Intelligence technology to Digital Mobile Communications in Asia.

Expotecnología 2022

Expotecnología 2022 was an event that took place in the city of Cartagena de Indias, from November 2 to 6, 2022, with the slogan “The future of engineering in the face of technological disruption” This eighteenth version was a meeting that brought together the scientific and academic community in spaces for the dissemination and transfer of knowledge, where innovation was the essence and a fundamental part of the event. Expotecnología was created in the Faculty of Engineering Sciences - FACI, of the Antonio de Arévalo University Foundation - UNITECNAR and in this version it maintained as mission, the development of the interaction between science, technology and society, through establishing of knowledge networks and academic and professional cooperation. The main objective was to address the challenges that emerge from the everyday life of the engineering community, the problems immersed in the development of projects and programs of Higher Education Institutions (IES), organizations and research centers at the national and international level. In the development of the day of presentations in a virtual way, it was possible to promote the dissemination of the research work of professionals, teachers and students from all areas of engineering, framed in four (4) thematic axes, as follows:• New technologies: Big data, Artificial Intelligence, Business Intelligence, Software Engineering, Education and new technologies and Mobile Applications.• Petrochemicals and process control: Materials Science, Instrumentation and Control Systems, Robotics and Automation and Industrial Maintenance.• Electricity, electronics and telecommunications: IoT, Fiber optics, Digital Signal Processing, Wireless Networks, Mobile Communications, Power Systems, Energy Storage, Smart Grids, Renewable Energies, Operation and Distribution, Energy Dispatch, Energy Markets• Construction Summit: Modern Building Systems and Computational Modeling.On this occasion, the event was attended by 512 people, representatives from 25 national and 6 international universities. 32 presentations were made, of which 32 articles were selected for this volume of the IOP Conference Cycle: Materials Science and Engineering and 13 articles for the book Engineering, Innovation and the fourth industrial revolution., After a process of Peer Review. The plenary conferences were in charge of 2 national and 8 international speakers .List of Invited speakers, Organizing Committee, Special thanks are available in this pdf.

Blockchain based mobile communication data privacy protection algorithm for cellular networks

The rapid development of mobile communication technology not only brings great convenience to users, but also brings the risk of user data privacy leakage. Due to the broadcasting nature of mobile communication transmission, open wireless interfaces have become a security vulnerability for mobile devices such as mobile phones, which can be easily eavesdropped. This article studied a data privacy protection algorithm suitable for mobile communication in cellular networks based on the anonymous mechanism of blockchain. This article first analyzes the overall framework and anonymity technology of blockchain data from the perspective of privacy and queryability. Then, based on blockchain technology, consistency mechanisms, privacy control, and access rights management are designed. Finally, mobile communication data privacy protection algorithms are designed and implemented through data encryption and verification. The latency of transactions under different task volumes and throughput at different nodes were analyzed to verify the reliability of several anonymous mechanisms in cellular network mobile communication data privacy protection in blockchain. Based on the experimental results, it was concluded that the reliability range of CryptoNote and the zero coin and zero currency protocol mechanism in the specified nodes was between 92 and 99%. This article utilized blockchain technology to distribute mobile communication data in nodes and achieve decentralized data transmission, thus protecting the privacy of wireless network communication data. By analyzing the reliability of anonymous mechanisms based on blockchain in mobile communication nodes, it was concluded that this method had certain research value.

Wi-Fi offloading on mobile data communication in the office, the measurement study

Wi-Fi offloading on mobile data communication in the office, the measurement study

Analysis and application research on key issues of channel coding

Channel coding plays a crucial role in enhancing the reliability and efficiency of communication systems, particularly when transmission channels are disrupted by noise and interference. This paper presents an in-depth review of various channel coding techniques, their applications, and future research directions. Key topics discussed include prevalent channel coding methods, such as repetition codes, convolutional codes, LDPC codes, turbo codes, and polar codes. The paper also delves into the selection of suitable channel coding parameters and their applications in digital TV, mobile and satellite communications, unmanned aerial vehicle data links, speech communication, and underwater acoustic channels. Moreover, the paper explores the performance analysis and comparison of different channel coding techniques, shedding light on their strengths and weaknesses. Lastly, the paper identifies emerging trends and challenges in channel coding research, providing valuable insights for researchers and practitioners in the field of communication systems. By examining these techniques and future directions, this comprehensive overview aims to contribute to the development of more robust and efficient channel coding schemes for a wide range of communication applications.

A Study on the Development of Traffic Volume Estimation Model Based on Mobile Communication Data Using Machine Learning

A Study on the Development of Traffic Volume Estimation Model Based on Mobile Communication Data Using Machine Learning

The anatomy of a population-scale social network

Large-scale human social network structure is typically inferred from digital trace samples of online social media platforms or mobile communication data. Instead, here we investigate the social network structure of a complete population, where people are connected by high-quality links sourced from administrative registers of family, household, work, school, and next-door neighbors. We examine this multilayer social opportunity structure through three common concepts in network analysis: degree, closure, and distance. Findings present how particular network layers contribute to presumably universal scale-free and small-world properties of networks. Furthermore, we suggest a novel measure of excess closure and apply this in a life-course perspective to show how the social opportunity structure of individuals varies along age, socio-economic status, and education level.

Performance analysis in overlay-based cognitive D2D communications in 5G networks

With the advent of fifth-generation 5G networks, mobile communication data rates are steadily rising. The existing base stations (BSs) must reduce the loads with minimal cost and effort. With traffic demands constantly rising, available spectrum resources must be utilized effectively. One of the most exciting developments in 5G networks, particularly cellular networks, is the potential for devices to communicate directly with one another through a technology called device-to-device communication (D2D). With the transmission split between D2D users on one side and cellular users and the BS on the other, it will be effective in the rapidly expanding capacity and offload traffic from the BS. With the dynamic spectrum access in mind, this article proposes using cognitive radio direct-to-device (CRD2D) communication in 5G networks to make use of the unused spectrum. Throughput and latency are examined, for a carrier sense multiple access (CSMA) based medium access control (MAC) protocol that uses a common control channel (CCC) for device users to negotiate the data channel and to address contention among device users. Device users can take advantage of cognitive radio to access multiple data channels simultaneously in a shared interference zone. Since this property has not been utilized, in prior works, we use it to measure the possible delay and throughput. Cognitive radio capability applied to D2D communication and the allocation of a common control channel for device users significantly increases aggregated network throughput by more than 60% compared to individual D2D throughput without causing any harmful interference to cellular users. The wait time can also be scale back using this method.

Digital exhaust and mobile communication scholarship: Pursuing the Ling connection

Rich Ling was among the first media scholars to recognize the vast scientific potential of behavioral data stemming from mobile and Internet use. His engagement with such data, that is, digital exhaust, extends back to the early 2000s, when he was a researcher with an international mobile network provider. Open-minded and with a strong curiosity drive, Ling joined forces with the company’s data scientists. This started an interdisciplinary dialogue that over the years has generated social insights that otherwise would have been hard to obtain. Yet, such collaborations are still rare. This article argues that the future of mobile communication scholarship lies in pursuing this strand in Ling’s legacy. Cross-fertilization of ideas between the social sciences and data analytics is likely to generate knowledge of high societal relevance. The article accounts for the history of such collaborations with special attention to Ling’s engagement, and points to opportunities for the coming decades.

The Research on the Preference of “Role Play” Acts in Audiobook upon Chinese Audiences

Nowadays, in the new media environment generated by science and technology such as digital technology, Internet technology, and mobile communication technology, the way people acquire information and knowledge presents diversified characteristics, and people's reading methods also have more choices. Sound, which serves as one of the most vital parts of the reading industry, also has been making progress in its development. And the behavior of listening to audiobooks has been fulfilled in people’s lives. Although the previous related research does have essential contributions to studying the audiobook industry, they just introduce the audiobook market and some of the uses appear in people’s lives. This literature does not address what interests people about audiobooks, and it does not fully address what makes audiobooks appealing. In this research, the authors want to explore the factors that influence audiobooks so that the authors can figure out how can the authors make audiobooks better for the listeners. The research topic is whether the element of “role play” acts on the most influential part in the audiobook industry. An e-questionnaire was designed to collect the data mainly about the users’ preferences on three elements: the cast of the voice actors, the post-production, and the form of the audiobook. And the result shows that most of the young people may care about the form of the audiobook, especially liking the form of performing the stories like drama.

The Use of Mobile Instant Messaging in English Language Teaching: The Case of South Korea

While learning management systems and video conferencing platforms have become a pivotal means for implementing emergency remote learning during the COVID-19 pandemic, the integration of mobile technologies into online teaching has been largely recommended in order to create an interactive educational environment. Focusing on the case of an English Language Program in South Korea, this study investigates the actual use of mobile instant messaging (MIM) applications as a learning aid in online language classrooms and how this was implemented in creating interactive language learning environments during the current outbreak. Based on a questionnaire survey collected from 979 students, it then compares students’ level of perceived satisfaction with their language learning and communication in online language classrooms between the group of students that used MIM during instruction and the group that did not. The discussion presented in this paper provides language educators, school administrators and policymakers at all levels with practical suggestions and ideas to consider, given that our daily communication has become highly dependent on and is increasingly mediated by mobile digital communication technologies and new media.

Efficient Mobile RFID Authentication Protocol for Smart Logistics Targets Tracking

Target tracking is one of the problems existing in the supply chain management. The use of radio frequency identification (RFID) in target tracking helps improve the monitoring accuracy and status visibility of the tracked target. For mobile RFID system, its three entities have to authenticate each other’s identity in order to guarantee the data transmission security. The mobile RFID authentication protocol cannot achieve both high security and low complexity at the same time. For this problem, a new efficiency mobile RFID authentication protocol is proposed in this paper, which implements secure authentication among different communication entities by different operation modes. For example, the protocol adopts Hash Function between reader and cloud server, and exchange-cross bitwise operation between tag and cloud server, to achieve low computing cost at tag-end while improving the security of mobile communication data. At the cloud server end, the protocol proposed in this paper adopts index data table as the storage mode, which further improves the could server efficiency in retrieving the authentication of tags and readers, and reduces the risks of sensitive data disclosure. According to the security analysis, this protocol can resist impersonation attack, replay attack, trace attack and other attacks launched by attackers. Its security performance is further proved by BAN logic, proverif tool and random oracle model. On the other hand, the simple operation at the tag-end of the protocol lowers the tag cost to a larger extent.

Principle and Analysis of Anti-interference and Anti-fading Techniques in Mobile Communication

In recent years, with the rapid development of mobile communication, anti-interference and anti-fading has always been an important research topic in mobile communication. There is a lot of interference in mobile channel, and the signal will fade because of various reasons. Designers must consider these factors in the design, development and production of mobile communication systems, so the corresponding anti-interference and anti-fading measures should be studied to ensure that the interference level does not exceed the threshold compared with useful signals during the operation of the system, or ensure that the transmission error rate is within a certain range. This paper introduces diversity technique, error correcting code, spread spectrum, adaptive equalization, digital modulation technique and so on. The advantages and disadvantages of different diversity techniques are analyzed, and their performances in common digital mobile communication systems are compared. Different types of error correcting codes are introduced, and their principles are analyzed. Then, other anti - interference and anti - fading techniques and their principles are briefly introduced. Finally, this paper analyzes the development direction of anti-interference and anti-fading techniques in the future mobile communication.

Researching Motherhood in the Age of Short Videos: Stay-at-Home Mothers in China Performing Labor on Douyin

Addressing the particular context of China, this article has two aims. First, it offers reflections on the possibilities and limitations of using user-generated short videos (vlogs) as research data both methodologically and ethically. We specifically explore the potential of centering vlogs as a new format for examining motherhood behavior across online and offline spaces. Secondly, it adds to the thematic literature on the (re)production and representations of motherhood. We critically examine the rising phenomenon in China of the stay-at-home mother, by exploring how these mothers use short video platforms. Inductively learning from the thematic analysis of short videos of stay-at-home mothers published on Douyin, the patterns in the data indicate three distinct forms of labor are performed through digital motherhood practices: domestic labor, affective labor, and entrepreneurial labor. Drawing on these patterns, we update the original framework of “motherhood 2.0,” which was coined in the 2010s to address mothering practices in industrialized western societies. We extend this framework and conceptualize “motherhood 3.0” by analyzing a type of Chinese community-based intersectional performance of motherhood, gender, and labor that we see emerging in digital cultural production centered on short videos. Mediated labor within online and offline motherhood practices is informed by social, cultural, and technological factors. Digital technologies and mobile media communication provide new means for stay-at-home mothers to navigate between their roles as devoted mothers and their pursuit of self-actualization.

Research on the Impact of Social Propaganda and Guidance Policies on Public Green Travel Intention: Evidence From China

Social propaganda and guidance policies have important practical significance for promoting public green travel. In recent years, the rapid development of digital technology, network, and mobile communication technology has promoted a revolutionary change in the dissemination of information and services. However, in the era of new media communication driven by emerging technologies, there is still a lack of research on the impact of social propaganda and guidance policies on public willingness to travel green. Based on the theory of planned behavior and the survey research of China's urban residents, this study investigates the impact of social propaganda and guidance policies on public willingness to travel green. Regression analysis is used to identify the influencing factors of public green travel willingness, and to reveal the internal impact mechanism of social propaganda and guidance policies on public green travel willingness. The mediating role of public green travel attitude, subjective norm, and perceived behavior control in social propaganda and guidance policy and travel willingness are also empirically analyzed. The results show that social propaganda and guidance policies have a significant positive impact on green travel attitudes, subjective norms, perceived behavior control, and green travel intentions. Green travel attitude, subjective norm, and perceived behavior control play a mediating role in the relationship between social propaganda and guiding policies and green travel willingness, but the mediating effect of the subjective norm is relatively weak.

Multifunctional multilevel moisture sensor

Controlling the moisture level is especially important when irrigating various crops to obtain a resistant, stable harvest and save water resources. Over moistening of the soil adversely affects the soil structure and can lead to salinization, waterlogging, and acidification. In addition, the formation of surface water runoff from the fields causes depletion of nutrients, oxygen starvation, and, ultimately, soil degradation. The degradation of fields (areas of the field) leads to the withdrawal of the field from crop rotation (exploitation), a reduction in acreage, the need for agrotechnical measures, reclamation, and, as a result, high financial costs. Currently applied irrigation technologies lead to the withdrawal of up to 50% of irrigated land. Therefore, the technology of differentiated irrigation with constant control over the condition of the soil and plants will help eliminate these negative consequences while increasing the yield and reducing the consumption of water, electricity, and labor costs. For the implementation of this technology, sensors are needed to control the moisture and temperature of the soil at different depths and perform operational control of the water supply to the field. The implementation of a constant connection between the field and the plant with the water supply system will allow creating digital irrigation map and forming of a database about the irrigated field underlying the information and created advisory system. The system for the continuous monitoring of soil moisture and temperature at different depths is based on IT technology with data transmission via radio communication channels. It uses platforms for data transmission via such communication channels as LoRaWAN (highly economical wireless communication interface from ICBCom), GSM (Groupe Spécial Mobile - the global standard for digital mobile cellular communication), and the Internet.

강원 영동지역 관광경기가 지역경제에 미치는 영향과 시사점

This study develops a tourism business cycle index of Yeongdong area, and Naver search term trends by city and county in Yeongdong area, Gangwon-do using high-frequency data such as credit card usage amount, Yeongdong area highway tollgate vehicle traffic, navigation Yeongdong area destination searches, KT mobile communication data based on visitors to Yeongdong area. Calculate the index. A statistically high correlation was estimated between the calculated tourism economy index and the real economy of the local tourism industry. This means that the real-time tourism condition is properly reflected. In addition, as a result of large-scale structural VAR analysis, it was found that the shock of the tourism industry in Yeongdong increased employment and credit card consumption in the tourism industry, and had a positive effect on total employment. We expect that the results of this study will be used in real-time monitoring of tourism in the Yeongdong region and policy development to promote tourism and expand its real effects.

Hybrid and Remote Psychosocial Interventions Focused on Weight and Sedentary Behavior Management Among Patients with Severe Mental Illnesses: a Systematic Review.

Severe mental illness could be defined through its diagnosis, disability, and duration, and one of their main characteristics is the high prevalence of some clinical conditions such as obesity and metabolic syndrome. Although the promotion of a healthier lifestyle has been demonstrated as an effective strategy to reduce both body mass index and abdominal circumference in this population, there is a lack of studies focusing on digital intervention in this population. The aim of this systematic review was to evaluate the efficacy of studies that used digital technologies to reduce weight, body mass index (BMI) and abdominal circumference in individuals with severe mental illness. This current review also compared remote and hybrid interventions, the effects of those interventions in metabolic biomarkers as well as in the development of a healthier lifestyle. The main findings included the following: (a) the use of digital devices or strategies might be feasible and useful to reduce sedentary behavior among individuals with severe mental illnesses, 2) most interventions used digital pedometers and mobile phone communication (either text messages or phone calls) as main strategies, 3) all remote interventions and six of nine hybrid interventions found significant outcomes in favor of their interventions. In conclusion, even with a limited number of studies promoting healthier lifestyle through digital interventions among individuals with severe mental illnesses, evidence from studies included in this review showed that they might be useful to improve a healthier lifestyle and increase the frequency of physical activity behavior.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11126-022-09994-3.