Time Parameter Based Low-Energy Data Encryption Method for Mobile Applications

Various mobile devices and applications are now used in daily life.These devices require high-speed data processing,low energy consumption,low communication latency,and secure data transmission,especially in 5G and 6G mobile networks.High-security cryptography guarantees that essential data can be transmitted securely;however,it increases energy consumption and reduces data processing speed.Therefore,this study proposes a low-energy data encryption(LEDE)algorithm based on the Advanced Encryption Standard(AES)for improving data transmission security and reducing the energy consumption of encryption in Internet-of-Things(IoT)devices.In the proposed LEDE algorithm,the system time parameter is employed to create a dynamic S-Box to replace the static S-Box of AES.Tests indicated that six-round LEDE encryption achieves the same security level as 10-round conventional AES encryption.This reduction in encryption time results in the LEDE algorithm having a 67.4%lower energy consumption and 43.9%shorter encryption time than conventional AES;thus,the proposed LEDE algorithm can improve the performance and the energy consumption of IoT edge devices.

Association between glucose levels of children with type 1 diabetes and parental economic status in mobile health application

BACKGROUND The glycemic control of children with type 1 diabetes(T1D)may be influenced by the economic status of their parents.AIM To investigate the association between parental economic status and blood glucose levels of children with T1D using a mobile health application.METHODS Data from children with T1D in China's largest T1D online community,Tang-TangQuan■.Blood glucose levels were uploaded every three months and parental economic status was evaluated based on annual household income.Children were divided into three groups:Low-income(<30000 Yuan),middle-income(30000-100000 Yuan),and high-income(>100000 yuan)(1 Yuan=0.145 United States Dollar approximately).Blood glucose levels were compared among the groups and associations were explored using Spearman’s correlation analysis and multivariable logistic regression.RESULTS From September 2015 to August 2022,1406 eligible children with T1D were included(779 female,55.4%).Median age was 8.1 years(Q1-Q3:4.6-11.6)and duration of T1D was 0.06 years(0.02-0.44).Participants were divided into three groups:Low-income(n=320),middle-income(n=724),and high-income(n=362).Baseline hemoglobin A1c(HbA1c)levels were comparable among the three groups(P=0.072).However,at month 36,the low-income group had the highest HbA1c levels(P=0.036).Within three years after registration,glucose levels increased significantly in the low-income group but not in the middle-income and high-income groups.Parental economic status was negatively correlated with pre-dinner glucose(r=-0.272,P=0.012).After adjustment for confounders,parental economic status remained a significant factor related to pre-dinner glucose levels(odds ratio=13.02,95%CI:1.99 to 126.05,P=0.002).CONCLUSION The blood glucose levels of children with T1D were negatively associated with parental economic status.It is suggested that parental economic status should be taken into consideration in the management of T1D for children.

Quality of Service and Security on Cisco Network Devices, Coupled with the Development of a Mobile Application Prototype Software for Server Room Temperature Monitoring

In an era where digital technology is paramount, higher education institutions like the University of Zambia (UNZA) are employing advanced computer networks to enhance their operational capacity and offer cutting-edge services to their academic fraternity. Spanning across the Great East Road campus, UNZA has established one of the most extensive computer networks in Zambia, serving a burgeoning community of over 20,000 active users through a Metropolitan Area Network (MAN). However, as the digital landscape continues to evolve, it is besieged with burgeoning challenges that threaten the very fabric of network integrity—cyber security threats and the imperatives of maintaining high Quality of Service (QoS). In an effort to mitigate these threats and ensure network efficiency, the development of a mobile application to monitor temperatures in the server room was imperative. According to L. Wei, X. Zeng, and T. Shen, the use of wireless sensory networks to monitor the temperature of train switchgear contact points represents a cost-effective solution. The system is based on wireless communication technology and is detailed in their paper, “A wireless solution for train switchgear contact temperature monitoring and alarming system based on wireless communication technology”, published in the International Journal of Communications, Network and System Sciences, vol. 8, no. 4, pp. 79-87, 2015 [1]. Therefore, in this study, a mobile application technology was explored for monitoring of temperatures in the server room in order to aid Cisco device performance. Additionally, this paper also explores the hardening of Cisco device security and QoS which are the cornerstones of this study.

DAVSS:Development of Mobile Application for Documenting and Assessing Domestic Violence

This paper presents the development and evaluation of the Domestic Abuse and Violence Support System(DAVSS),a mobile application designed to address domestic violence issues in Malaysia.DAVSS integrates the essential 27-DASH(Danger Assessment for Separation and Harassment)questionnaire to assess the severity of domestic violence situations.The project follows the phased approach of the Waterfall Model,encompassing requirements,analysis,design,development,and testing stages.Usability testing was conducted to evaluate the DAVSS application,revealing overall user satisfaction.However,this assessment relied primarily on frequency analysis,prompting consideration for enhanced reliability through alternative measurement methods such as median and standard deviation approaches.The DAVSS application’s Danger Assessment Test(DAT)algorithm,built upon the 27-DASH questions,represents a significant aspect of the system.Future work includes the validation of this rule-based algorithm using expert evaluation,potentially through Delphi techniques.Given the absence of dedicated domestic abuse mobile applications in Malaysia,DAVSS promises several advantages.It empowers victims to report incidents,locate shelters for protection,and facilitates shelter access through QR code integration.In conclusion,as domestic violence remains a pressing concern requiring increased support,the DAVSS mobile application emerges as a vital system that offers assistance to victims while breaking down barriers that may silence their voices.

Leveraging User-Generated Comments and Fused BiLSTM Models to Detect and Predict Issues with Mobile Apps

In the last decade, technical advancements and faster Internet speeds have also led to an increasing number ofmobile devices and users. Thus, all contributors to society, whether young or old members, can use these mobileapps. The use of these apps eases our daily lives, and all customers who need any type of service can accessit easily, comfortably, and efficiently through mobile apps. Particularly, Saudi Arabia greatly depends on digitalservices to assist people and visitors. Such mobile devices are used in organizing daily work schedules and services,particularly during two large occasions, Umrah and Hajj. However, pilgrims encounter mobile app issues such asslowness, conflict, unreliability, or user-unfriendliness. Pilgrims comment on these issues on mobile app platformsthrough reviews of their experiences with these digital services. Scholars have made several attempts to solve suchmobile issues by reporting bugs or non-functional requirements by utilizing user comments.However, solving suchissues is a great challenge, and the issues still exist. Therefore, this study aims to propose a hybrid deep learningmodel to classify and predict mobile app software issues encountered by millions of pilgrims during the Hajj andUmrah periods from the user perspective. Firstly, a dataset was constructed using user-generated comments fromrelevant mobile apps using natural language processing methods, including information extraction, the annotationprocess, and pre-processing steps, considering a multi-class classification problem. Then, several experimentswere conducted using common machine learning classifiers, Artificial Neural Networks (ANN), Long Short-TermMemory (LSTM), and Convolutional Neural Network Long Short-Term Memory (CNN-LSTM) architectures, toexamine the performance of the proposed model. Results show 96% in F1-score and accuracy, and the proposedmodel outperformed the mentioned models.

Impact of mobile health and medical applications on clinical practice in gastroenterology

Mobile health apps (MHAs) and medical apps (MAs) are becoming increasinglypopular as digital interventions in a wide range of health-related applications inalmost all sectors of healthcare. The surge in demand for digital medical solutionshas been accelerated by the need for new diagnostic and therapeutic methods inthe current coronavirus disease 2019 pandemic. This also applies to clinicalpractice in gastroenterology, which has, in many respects, undergone a recentdigital transformation with numerous consequences that will impact patients andhealth care professionals in the near future. MHAs and MAs are considered tohave great potential, especially for chronic diseases, as they can support the selfmanagementof patients in many ways. Despite the great potential associated withthe application of MHAs and MAs in gastroenterology and health care in general,there are numerous challenges to be met in the future, including both the ethicaland legal aspects of applying this technology. The aim of this article is to providean overview of the current status of MHA and MA use in the field ofgastroenterology, describe the future perspectives in this field and point out someof the challenges that need to be addressed.

Password-Authenticated Multiple Key Exchange Protocol for Mobile Applications

To achieve privacy and authentication sinmltaneously in mobile applications, various Three-party Password-authenticated key exchange （3PAKE） protocols have been proposed. However, some of these protocols are vulnerable to conventional attacks or have low efficiency so that they cannot be applied to mobile applications. In this paper, we proposed a password-authenticated multiple key exchange protocol for mobile applications using elliptic curve cryptosystem. The proposed protocol can achieve efficiency, reliability, flexibility and scalability at the same time. Compared with related works, the proposed protocol is more suitable and practical for mobile applications.

Using Mobile Application to Improve Doctor-Patient Interaction in Healthcare Delivery System

The use of mobile applications for healthcare has become a focal point of innovation that could aid patients in their everyday healthcare management. Mobile applications can contribute to increasing the effectiveness and reducing the costs of healthcare delivery as well as preventing illnesses through behaviour change. This paper presents model of an interactive mobile healthcare application that facilitates the needs between doctors and patients. The proposed mobile application will provide optimal communication to several parties in the healthcare sector such as patients, doctors and pharmacists for better healthcare services and delivery. The software development methodology adopted was Object Oriented Analysis and Design Methodology (OOADM). Our mobile application is developed for Android platform and HTML, CSS and JS were used at the front-end while Angula JS, PHP and MYSQL powered the back-end.

Effects of a symptom management intervention based on group sessions combined with a mobile health application for persons living with HIV in China:A randomized controlled trial

Objective:This study aims to evaluate the effects of a symptom management intervention(SMI)based on symptom management group sessions combined with a mobile health(mHealth)application(app)on the knowledge of symptom management,the certainty of symptom self-management,symptom severity,symptom distress,medication adherence,social support,and quality of life among persons living with HIV(PLWH)in China.Methods:A parallel randomized controlled trial with 61 PLWH was conducted in Shanghai,China.The participants in the control group(n¼30)downloaded the Symptom Management(SM)app according to their needs and preferences,and received routine follow-ups.The participants in the intervention group(n¼31)were guided to download and use the SM app,and received four tailored weekly group sessions at routine follow-ups.Each group session lasted for approximately 2 h and targeted one of the major modules of the SM app.All the outcomes were assessed at baseline and post-intervention.The study was registered with the Chinese Clinical Trial Registry(ChiCTR1900024821).Results:The symptom management knowledge and certainty of symptom self-management were significantly improved after the intervention(all P<0.01).Compared with the control group,the scores of symptoms reasons knowledge score improved 11.47 points(95%CI:3.41,19.53)and scores of symptoms self-management knowledge score improved 12.80 points(95%CI:4.55,21.05)in the intervention group after controlling for covariates.However,other outcomes did not show statistically significant differences between the intervention group and the control group(P>0.05).Conclusion:The SMI could improve PLWH’s symptom management knowledge and certainty of symptom self-management.Multi-center studies with larger sample sizes and longer follow-ups are needed to further understand the effects of SM app on ameliorating symptom severity and symptom distress.More innovative strategies are also needed to promote and maintain the sustainability of the SM app.

Use of Mobile Health Applications and the Self-Management of Cancer: A Gendered Approach

The growing use of mobile health applications for health purposes increased the expectations about their effectiveness. The study examines the effectiveness of mobile health applications on the self-management behaviors of 168 individuals diagnosed with cancer. The results of a secondary analysis indicate that using extensively mobile health applications significantly increases women’s health empowerment attitudes—reaching health decisions, changing their approach to health concerns, seeking additional health consultation. However, the use of mobile health applications does not increase the likelihood of adopting self-management behaviors. The study indicates that the effectiveness of mobile health applications in self-management practices is contingent upon a set of personal characteristics and the level of technology skills.

The Contribution of AI-Powered Mobile Apps to Smart City Ecosystems

In the groundbreaking study “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems,” authored by Zaki Ali Bayashot, the transformative role of artificial intelligence (AI) in urban development is meticulously examined. This comprehensive research delineates the multifaceted ways in which AI-powered mobile applications can significantly enhance the efficiency, sustainability, and livability of urban environments, marking a pivotal step towards the realization of smart cities globally. Bayashot meticulously outlines the critical areas where AI-powered apps offer unprecedented advantages, including urban mobility, public safety, energy management, and environmental monitoring. By leveraging AI’s capabilities, these applications not only streamline city operations but also foster a more sustainable interaction between city dwellers and their environment. The paper emphasizes the importance of data-driven decision-making in urban planning, showcasing how AI analytics can predict and mitigate traffic congestion, optimize energy consumption, and enhance emergency response strategies. The author also explores the social implications of AI in urban settings, highlighting the potential for these technologies to bridge the gap between government entities and citizens. Through engaging case studies, Bayashot demonstrates how participatory governance models, enabled by AI apps, can promote transparency, accountability, and citizen engagement in urban management. A significant contribution of this research is its focus on the challenges and opportunities presented by the integration of AI into smart city ecosystems. Bayashot discusses the technical, ethical, and privacy concerns associated with AI applications, advocating for a balanced approach that ensures technological advancements do not come at the expense of civil liberties. The study calls for robust regulatory frameworks to govern the use of AI in public spaces, emphasizing the need for ethical AI practices that respect privacy and promote inclusivity. Furthermore, Bayashot’s research underscores the necessity of cross-disciplinary collaboration in the development and implementation of AI technologies in urban contexts. By bringing together experts from information technology, urban planning, environmental science, and social sciences, the author argues for a holistic approach to smart city development. This interdisciplinary strategy ensures that AI applications are not only technologically sound but also socially and environmentally responsible. The paper concludes with a visionary outlook on the future of smart cities, posited on the seamless integration of AI technologies. Bayashot envisions a world where AI-powered mobile apps not only facilitate smoother urban operations but also empower citizens to actively participate in the shaping of their urban environments. This research serves as a critical call to action for policymakers, technologists, and urban planners to embrace AI as a tool for creating more sustainable, efficient, and inclusive cities. By presenting a detailed analysis of the current state of AI in urban development, coupled with practical insights and forward-looking recommendations, “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems” stands as a seminal work that is poised to inspire and guide the evolution of urban landscapes worldwide. Its comprehensive exploration of the subject matter, combined with its impactful conclusions, make it a must-read for anyone involved in the field of smart city development, AI technology, or urban policy-making.

Adaptive Application Offloading Decision and Transmission Scheduling for Mobile Cloud Computing

Offloading application to cloud can augment mobile devices' computation capabilities for the emerging resource-hungry mobile application, however it can also consume both much time and energy for mobile device offloading application remotely to cloud. In this paper, we develop a newly adaptive application offloading decision-transmission scheduling scheme which can solve above problem efficiently. Specifically, we first propose an adaptive application offloading model which allows multiple target clouds coexisting. Second, based on Lyapunov optimization theory, a low complexity adaptive offloading decision-transmission scheduling scheme has been proposed. And the performance analysis is also given. Finally, simulation results show that,compared with that all applications are executed locally, mobile device can save 68.557% average execution time and 67.095% average energy consumption under situations.

Design of an Interactive Mobile Application for Maternal, Neonatal and Infant Care Support for Tanzania

Reducing maternal and infant deaths’ rates in the developing countries, particularly in sub-Sahara Africa, remain a big challenge. Despite efforts by governments, the reductions have been unsatisfactory. To accelerate the reduction in maternal and infant deaths, m-health has been proposed as a viable, economical and effective intervention, able to reach the low income and disadvantaged groups. Mobile phone-based applications are among the m-health interventions that have been found to have positive outcomes for different healthcare challenges, such as improving clinical attendance and skilled delivery, and reducing perinatal mortality. However, the adoption of smartphone-based applications for health in Tanzania has been slow. Some of the likely contributing factors might be low technology exposure by the majority of the population and English language skills’ limitations. In this work, we developed a mobile application for providing interactive support to users, thus complementing other solutions available such as SMS and other smartphone apps. The main advantage of this app is the presence of interactive features that enable patient-provider communication. We adopted the Rapid application development (RAD) model for developing the application. We used UML modeling language tools for designing the application. The mobile application’s technical architecture uses various technologies and system development tools such as PHP programming language for the web application, MySQL database management system and Android Studio mobile application development platform.

Assessment and Prediction of Software Reliability in Mobile Applications

Software reliability is an important quality attribute, and software reliability models are frequently used to measure and predict software maturity. The nature of mobile environments differs from that of PC and server environments due to many factors, such as the network, energy, battery, and compatibility. Evaluating and predicting mobile application reliability are real challenges because of the diversity of the mobile environments in which the applications are used, and the lack of publicly available defect data. In addition, bug reports are optionally submitted by end-users. In this paper, we propose assessing and predicting the reliability of a mobile application using known software reliability growth models (SRGMs). Four software reliability models are used to evaluate the reliability of an open-source mobile application through analyzing bug reports. Our experiment proves it is possible to use SRGMs with defect data acquired from bug reports to assess and predict the software reliability in mobile applications. The results of our work enable software developers and testers to assess and predict the reliability of mobile software applications.

Online and Offline Android Based Mobile Application for Mapping Health Facilities Using Google Map API. Case Study: Tanzania and Kenya Borders

The evolution of technology in 1990s resulted in the enormous growth of smartphones and the propagation of mobile applications (App) that marked new opportunities for healthcare centers and medical education. Apps have altered health services from patient’s health monitoring to specialist’s appointments and consultations from specialized health facilities. It can be argued that a healthy society can bring forth sustainable economic development to its full potential while an unhealthy society cannot. However, a free movement of people, labour and right to residence which was built across East Africa (EA) borders enabled Tanzania and Kenya borders to have enormous interactions. Subsequently, increase the risk of highly communicable diseases such as Tuberculosis and Sexually transmitted infections in such a way that medical attention is unavoidable along the borders. Statistically, Android Operating System (OS) owns 83% of Africa’s mobile OS market. In addition, 25,794,560 internet users reported by Tanzania Communications Regulatory Authority (TCRA) together with the 22.86 million internet users provided by Kenya Digital which is equivalent to 46% and 43% of internet penetration in year 2020, disclose the need for Android mobile application for mapping health facilities both online and offline using Google map API, which will solve residents’ need to healthcare services on the presence or shortage of internet connections;using either Swahili or English language via Smartphone devices. The App incorporates Monitoring and Evaluation (M & E) tool for tracking application usage which will ease Admin’s task to generate daily and monthly reports in Excel and Comma-Separated Values (CSV) formats. The developed system received positive feedback from EA citizens and residents in the Arusha region and Namanga border crossing where 90.2% of the system evaluation conducted between Dec 2020 and Apr 2021 agreed upon App usage.

Software and Mobile Apps as a Strategy for Productivity Improvement in the Construction Industry

The construction industry, known for its low productivity, is increasingly utilising software and mobile apps to enhance efficiency. However, more comprehensive research is needed to understand the effectiveness of these technology applications. The PRISMA principles utilised a scoping review methodology to ascertain pertinent studies and extract significant findings. From 2013 onwards, articles containing data on mobile applications or software designed to enhance productivity in the construction sector were obtained from multiple databases, including Emerald Insight, Science Direct, IEEE Xplore, and Google Scholar. After evaluating 2604 articles, 30 were determined to be pertinent to the study and were subsequently analysed for the review. The review identified five key themes: effectiveness, benefits, successful implementation examples, obstacles and limitations, and a comprehensive list of software and mobile apps. In addition, 71 software and mobile apps have shown potentially how these technologies can improve communication, collaboration, project management, real-time collaboration, document management, and on-the-go project information and estimating processes in the construction industry, increasing efficiency and productivity. The findings highlight the potential of these technologies such as Automation, Radio-Frequency Identification (RFID), Building Information Modeling (BIM), Augmented Reality (AR), Virtual Reality (VR), and Internet of Things (IoT) to improve efficiency and communication in the construction industry. Despite challenges such as cost, lack of awareness, resistance to change, compatibility concerns, human resources, technological and security concerns and licensing issues, the study identifies specific mobile applications and software with the potential to enhance efficiency significantly, improve productivity and streamline workflows. The broader societal impacts of construction software and mobile app development include increased efficiency, job creation, and sustainability.

Teaching Reform for HarmonyOS Mobile Application Development

In recent years,the IT industry in China has developed rapidly and made remarkable achievements.However,there is still a big gap between China and foreign countries in the core fields of information technology,such as system hardware and software platform.Currently,foreign countries have gradually raised the restrictions of information technology in China,and even added many domestic enterprises to the restricted list,which has rung the alarm to the information security of the country.Therefore,in order to break through the foreign technology blockade and find a unique way in independent software and hardware platform,it is urgent to carry out the curriculum construction and talent training mechanism on core software and hardware platform.HarmonyOS is a“future-oriented”distributed operating system developed by Huawei.It proposes a distributed concept based on the same system capability and adapts to a variety of terminal forms,and supports a variety of terminal devices such as mobile phones,watches and smart screens.Our course on HarmonyOS aims to increase the theoretical knowledge of the core independent software and hardware platform.In the course,we exploit our teaching reform experience in the course of“Mobile Application Development”,and investigate the teaching mechanism of HarmonyOS to contribute to the rapid development of information technology and ecological construction in China.

A mobile application framework of the BIM-based facility management system under the cross-platform structure

The building information model/modeling （BIM） technology is currently applied in a broad range of applications and research for facility management, while the BIM-based mobile FM is difficult owing to various factors and environments. For example, the mobile applications usually require frequent cross-equipment compatibility. This paper proposes a reasonable BIM-based FM cross-platform framework and develops a mobile application on the basis of an existing BIM-based FM system. The developed mobile application is applied in a case study of a metro station project in Guangzhou to verify its effectiveness in FM practice. It helps maintenance staff in viewing BIMs, accessing related information, and updating maintenance records in a unique platform. The test results demonstrate that the proposed BIM-based cross-platform framework meet the FM application requirements and supports the extension of FM functions.

The Application of Mobile APP in English Learning in Senior Middle School

When students enter high school, they have a vague sense of adult psychologically, they have the desire to be independent and creative, and their confidence in their own ability is rising day by day. However, in foreign language learning, they still lack the ability of practice and self-study in foreign language learning. In particular, English teaching is limited to the traditional classroom teaching methods, it is difficult to arouse the enthusiasm of the students in higher vocational education. Using the advantages of App to apply it to English teaching can make the teaching mode interactive and fresh. At the same time, it has a convenient feedback mechanism, teachers can guide students to discuss and study outside the classroom, adjust the teaching arrangement in time, and achieve the real "student-centered".

Development of Comment Correlation Matrix for Mobile Application Recommendation

As the evolution of mobile technology, mobile devices have become an essential tool in people＇s daily life. Moreover, with the rapid growth of Internet and mobile networks, people can easily access various services provided by mobile platforms. Many services can be executed on the mobile devices with various mobile applications launched to mobile platforms. People can choose what they like to install in their mobile devices and hence make their life more convenient, entertaining, and productive. However, there are too many mobile applications for users to choose. The goal of this research is to propose a methodology which can recommend top-N lists for mobile applications. A comment correlation matrix is proposed. Furthermore, a recommendation algorithm for mobile applications based on user comments and key attributes is built. With the proposed method, it outperforms Google play and is closer to user real feelings.