Framework For Mobile Applications Research Articles

Innovating Healthcare Services Through Technology: Building Framework of IDoc Mobile Application

Technology has become a vital impact on the development of healthcare systems, particularly through the use of mobile applications to monitor people's health as they become more concerned with maintaining their physical fitness and health. Access to healthcare services is one of the issues in the province of Quirino since hospitals and clinics are limited, communities from rural areas are having problems in availing healthcare consultation. There is a scarcity of mobilization of the people from rural areas who wants and needs to avail healthcare consultation. The goal of this study to design a framework for a mobile health application that is based on community needs, challenges and issues in availing healthcare services in the province. The framework for mobile application is a channel for this problem as it provides a way to contact Doctors in order to address healthcare needs anytime and anywhere. The researchers used Design Thinking as an innovative approach and conducted series of interviews to empathize with the community. The proposed framework for mobile application can help address the needs of the community in availing healthcare services especially those in rural areas. This can improve the quality of health and to address critical needs of patients. This can be a tool to help both patients and medical practitioners in the province of Quirino and nearby provinces in availing healthcare services.

Real Time Gesture Controlled Robotic Vehicle

Abstract: The complexity of controlling an automobile increases with the incorporation of more significant capabilities. Planning automobile-controlling frameworks that enable users to teach the car only to demonstrate whatit should do is the focus of numerous research efforts; yet, for non- expert users, using a switch or remote to operatethe car is difficult. In light of this, this paper proposes an Arduino-based automobile-controlling framework that eliminates the need for physical car control. This work exhibits two main commitments. First, we demonstrate thathand gestures maybe used to drive the car, with the vehicle agreeing to the hand's position and movement. An Arduino Nano, an accelerometer, and a radio-frequency (RF) transmitter are used by the hand-gesture framework.The Arduino Nano, which is attached to the hand glove, receives data from the accelerometer, which is connectedto the glove to sense the acceleration powers produced by hand movement .following data reception, Arduino Nano converts the data into unique angle values between 0 and 450° and transmits it to the Arduino Uno's RF receiver, which is mounted on the vehicle, via the RF sender. Moreover, a mobile application with unique modes based on Android will operate the suggested automobile framework. The hand-gesture framework was expanded with the addition of the Bluetooth module to become the mobile application framework. In this instance, the Arduino Uno receives the comparing signal whenever the user sends any commands. Once you've acknowledged thesignal, The Arduino will compare this to its pre-programmed commands for braking, left, right, forward, and back-ward motion before instructing the motor module to move the vehicle in that direction

Software-driven secure framework for mobile healthcare applications in IoMT

The traditional healthcare systems require more data storage and not a quick responsive mode. The new era of intelligent healthcare systems uses advanced frameworks and devices to work with Internet of things (IoT), Cloud Computing, edge computing devices, and the Internet of Medical Things (IoMT). These technology adoptions may drastically increase healthcare systems performance and are available anytime and anywhere to replace traditional medical methods – the organizations in the network exchange the patient data that has been gathered. The healthcare systems are therefore susceptible to a variety of threats. The attacker may exploit many attacks during the transmission. This paper introduces a novel mechanism of A Secure Robust Privacy-Preserving Authentication and Key Agreement Framework for Mobile Healthcare Applications. The proposed framework collects the patient’s data using wearable devices called sensors, and the collected data is shared with various entities using a secure mechanism. The proposed framework uses Elliptic Curve Cryptography (ECC). Digital sign is created and validated through the Elliptic Curve Digital Signature Algorithm (ECDSA). Security properties of the proposed framework are analyzed through standard model checking tool Automated Validation of Internet Security Protocols (AVISPA). The suggested protocol is simple to develop and can withstand network-related threats.

Efficient Dependent Task Offloading for Multiple Applications in MEC-Cloud System

With the proliferation of versatile mobile applications, offloading compute-intensive tasks to the MEC/Cloud becomes a dramatic technique due to the limited resources and high user experience requirements at mobile devices. However, most existing works design their task offloading schemes without considering the dependence of tasks and the orchestration of the MEC and Cloud, and thus may limit the system performance. In this paper, we propose a dependent task offloading framework for multiple mobile applications, named COFE, where mobile devices can offload their compute-intensive tasks with dependent constraints to the MEC-Cloud system. It can assign the offloaded tasks to the MEC and Cloud adaptively to improve the user experience. Based on COFE, we formulate the task offloading problem as an average makespan minimization problem, which is proved to be NP-hard. Then, we propose a heuristic ranking-based algorithm to assign the offloaded tasks according to their bottom levels. Theoretical analysis proves the stability of the system under the proposed algorithm and extensive simulations validate that the proposed algorithm can significantly reduce the average makespan and deadline violation probabilities of offloaded applications.

Pengembangan Aplikasi Chat Multi Bahasa Berbasis NLP Translation API

Interacting with others is an essential part of human life.. Sometimes users experience problems using chat applications, namely language differences when communicating with foreigners. Based on these problems, the author aims to build a chat application with a mobile-based automatic translator. In this application, the user can choose the language that will be used as needed. This application development uses the React Native framework for mobile applications and uses the NLP translation API for translators. This chat application automatically translates messages into the language used by the user. After doing some testing on the application, it can be concluded that it is according to the design and can make it easier for users to communicate with different languages

TomFusioNet: A tomato crop analysis framework for mobile applications using the multi-objective optimization based late fusion of deep models and background elimination

Crop disease is a critical concern for the farmers which needs to be addressed to mitigate production loss. Multifarious frameworks have been proposed for the rapid recognition of tomato crop diseases, however, their practical deployment is a daunting task. The existing models suffer from performance issues such as overfitting and gradient vanishing. To alleviate these issues, this research proposes an end-to-end tomato crop analysis framework, TomFusioNet, for mobile applications. For feature extraction, the late-fusion technique is leveraged by aggregating the results of modified cross-domain transfer learning models using the maximum likelihood prediction strategy. Multi-layer Perceptron models are utilized as meta-learners. TomFusioNet’s pipeline comprises two modules, namely, DeepRec and DeepPred. DeepRec provides preliminary disease recognition results while DeepPred further identifies the type of illness in crop. Logic gate mapping is employed to reduce unnecessary wastage of mobile computation. The hyperparameters of DeepPred are tuned using the multi-objective optimization based non-dominated sorting genetic algorithm II for performance enhancement. We highlighted the significance of feature relevancy; therefore, a hue, saturation and value (HSV) color model-based background elimination technique is also proposed. TomFusioNet can be incorporated in a smartphone app, conceptualized for remote crop monitoring. The proposed DeepRec and DeepPred models achieved an average accuracy of 99.93% and 98.32%, respectively. According to experimental results, TomFusioNet, which is built on NSGA-II, beats state-of-the-art models with a convergence loss of 0.021 and an AUC value of 99.10%. The proposed app framework’s functioning does not require any human in loop. Furthermore, the latency of framework in real-time is less than 2 s, hence, it is effective for rapid tomato crop analysis.

A sustainable user-centered application for residential energy consumption saving

Being a significant contributor to energy consumption, residential buildings are now in crucial need to reduce and schedule their energy usage. It was found that the previous research on energy management have focused on the technological solutions without considering the users’ needs and requirements. To address this gap, user’s involvement is considered as cornerstone in developing a solution. For this purpose, a survey was designed and answered by 410 participants. Statistical analysis was used to identify the significant factors affecting the users’ willingness to use a mobile application to manage their energy consumption. Fuzzy AHP was used to analyze users’ preferences and behaviors, then K-means clustering was used to rank the various home appliances’ priorities according to the users’ preferences. Finally, a mobile application framework was proposed to enable a user-friendly tool to schedule home appliances operations. It was found that 70% of the users are willing to use such application as it can save money through managing their energy consumption while considering their preferences at the same time while having a positive environmental impact. Such approaches can change the utility-customer relationship from supplier-buyer relation to an efficient and sustainable partnership with an expected energy saving up to 15%.

Building a Three-Level User Experience (UX) Measurement Framework for Mobile Banking Applications in a Chinese Context: An Analytic Hierarchy Process (AHP) Analysis

User experience (UX) has drawn the attention of the banking industry in the past few decades. Although banking systems have a complete service process to ensure financial safety for customers, the mobile banking UX has much potential to be improved. Most research in this field of study relies on existing criteria to describe a user’s experience. However, these criteria are focused more on usability measurement, which neglects to identify the requirements of end-users. Users are asked to give feedback on the provided application, limiting the scope of the user study. Therefore, this study uses mixed methods research and in-depth semi-structured interviews to collect end-user UX requirements to build a UX measurement framework of five main services transfers, including financial management, loans, account openings, and credit cards. This study uses an online survey to validate and revise the framework by applying analytic hierarchy process (AHP) analysis to quantify criteria. We interviewed 17 customers and collected 857 online validation surveys, and 400 customers attended the AHP analysis. As a result, this study proposes a three-level measurement framework for mobile banking applications in a Chinese context. The first-level criteria are scenario requirements (24.03%), data requirements (20.98%), and function requirements (54.99%). We hope that the framework will guide designers and researchers to design better user-friendly user interfaces and improve customer satisfaction rates in the future.

SAVE ME EMERGENCY DETECTION IN MOBILE APPLICATION FOR TEENAGERS

The smartphone comes with many advanced features such as Wi-Fi, Global Positioning System (GPS) navigation, high-resolution cameras, and a touchscreen with broadband access that help users stay connected worldwide. This study focused on the development of a system framework for mobile application in emergency services that triggered fall detection. The mobile application is named Save Me! Application (app), where it can provide a simple medium to provide safety awareness to public people, especially among teenagers. The app can pinpoint the victim’s exact location when the device triggers fall detection. Subsequently, the message can be distributed to relatives, parents, or friends who have been pre-registered in the app to help the victim. The app also offers additional protection to parents or families who are busy working so that they can keep track of their children.

A mobile application-based home assessment tool for patients undergoing joint replacement surgery: A qualitative feasibility study

BackgroundMost adults prefer to age in place. However, the majority of homes are not designed to support resident needs, especially for adults undergoing joint replacement surgeries such as total knee arthroplasty (TKA) or total hip arthroplasty (THA). It is of paramount importance to proactively assess and modify the homes of adults undergoing TKA/THA such that they can safely transition home following surgery. Several tools utilize emerging technology like virtual reality, augmented reality, or teleconferencing to assess home environments. These are meant to be used by professionals like occupational therapists. However, the acceptance and uptake of simple technology like mobile applications for assessing homes proactively by residents has not been explored. ObjectiveA qualitative exploratory study was conducted to evaluate the feasibility and potential acceptance of a mobile application for resident-initiated home assessment. MethodsSemi-structured interviews were conducted with 22 patient-care partner dyads before and after THA/TKA to understand the perceived usefulness, likelihood of using a mobile application-based home assessment tool, and perceived barriers and facilitators of using the tool. ResultsAbout 68% of the patient-care partner dyads interviewed for this study perceived benefits of using a mobile application-based tool. All the participants who perceived the tool to be useful showed high likelihood of using it. A comparison of responses between pre-and post-surgery interviews revealed that around 50% of participants showed an increased intention of using an assessment tool after experiencing challenges in their homes post-surgery. Participants provided recommendations for key content, potential features to include in the assessment tool, and preferred formats (e.g., checklists, visuals, and videos). ConclusionsTo increase acceptance of a mobile application-based home assessment tool, it is crucial that residents are made aware of the home environment challenges and the importance of an assessment tool to improve their safety and independence. The content, features, formats, and usability suggestions from the participants in this study provide a framework for health mobile application and interface developers to design a home assessment tool.

Development of Mobile Application Framework Based on Competency-Based Education for Technical and Vocational Education

This study aimed to develop a mobile application framework based on Competency-Based Education (CBE) in Technical and Vocational Education. CBE approach in teaching and learning should be applied because this approach is suitable for skill-based education. In technological advancement, the mobile application approach causes students to have their own control in teaching and to learn to be implemented seamlessly and more effectively. This research is a qualitative method that has gone through three phases to form a framework for the mobile app based on CBE. The instruments used are structured interview and evaluators' reliability review form. The study sample consisted of 6 experts in CBE and technology for the interview session and 3 experts in TVET for reliability data verification. The raw data obtained from the interviews have gone through a thematic analysis process using Atlas.ti software. The results show 36 items identified as characteristics of CBE in the mobile application, with the average Cohen Kappa Index Approval coefficient was 0.9 indicating a very good reliability scale. The findings of this study consist of 33 items with seven constructs approved after the inter-rater reliability among the expert. The implication from this research could be used as guidance in the development of the instructional mobile application, particularly in Technical and Vocational Education and as an instrument for evaluating existing instructional mobile applications.

Development of mobile application for Malay translated hadith search engine

This paper presents the development of mobile application for Malay Translated Hadith search engine. Limitations of current Hadith web application are the design is to optimize its usage on desktop computer but not on mobile devices, which requires simple and user friendly interface. Besides that, web application also needs internet connection to use. Due to increase usage of mobile application among mobile phone users, many existing web applications have moved to mobile based applications to cater for increasing numbers of mobile users. In this study, a mobile application for Android and iOS mobile application has been developed using Flutter framework, a hybrid mobile application framework. A Malay Translated hadith search engine mobile application can easily assist those who are seeking knowledge to learn more about certain topics in hadith, a second source of Islamic knowledge. This mobile application has search and directory features for users to browse the 2028 Sahih Bukhari hadith collection. Users can enter their query using search features to find selected hadith in Malay language. Queries will be processed for searching relevant hadith and display the results to the user. Evaluation using Recall and Precision shows that on the average Recall is 73% and Precision is 33%. Functionality testing is also conducted to test against the functional requirements or specifications. Results shows all requirements are successfully tested.

Autonomous computation offloading and auto-scaling the in the mobile fog computing: a deep reinforcement learning-based approach

The Fog Computing (FC) paradigm is rapidly becoming an appropriate framework for the infrastructure related to the Internet of Things (IoT). FC can be a good framework for mobile applications in the IoT. This architecture is referred to as the Mobile Fog Computing (MFC). Modules in the applications can be sent to the Fog or Cloud layer in the event of the lack of resources or increased runtime on the mobile. This increases the efficiency of the whole system. As data is entered sequentially, and the input is given to the modules, the number of executable modules increases. So, this research was conducted to find the best place in order to run the modules that can be on the mobile, Fog, or Cloud. According to the proposed method, first, the Fog Devices (FDs) were locally evaluated using a greedy technique; namely, the sibling nodes followed by the parent and in the second step, a Deep Reinforcement Learning (DRL) algorithm found the best destination to execute the module so as to create a compromise between the power consumption and execution time of the modules. The evaluation results obtained regarding the parameters of the power consumption, execution cost, delay, and network resource usage showed that the proposed method on average is better than the local execution, First-Fit (FF), and standard DRL by 18, 6, and 2%, respectively.

Cloud Computing Mobile Application for Remote Monitoring of Bell\u2019s Palsy

Mobile applications provide the healthcare industry with a means of connecting with patients in their own home utilizing their own personal mobile devices such as tablets and phones. This allows therapists to monitor the progress of people under their care from a remote location and all with the added benefit that patients are familiar with their own mobile devices; thereby reducing the time required to train patients with the new technology. There is also the added benefit to the health service that there is no additional cost required to purchase devices for use. The Facial Remote Activity Monitoring Eyewear (FRAME) mobile application and web service framework has been designed to work on the IOS and android platforms, the two most commonly used today. Results: The system utilizes secure cloud based data storage to collect, analyse and store data, this allows for near real time, secure access remotely by therapists to monitor their patients and intervene when required. The underlying framework has been designed to be secure, anonymous and flexible to ensure compliance with the data protection act and the latest General Data Protection Regulation (GDPR); this new standard came into effect in April 2018 and replaces the Data Protection Act in the UK and Europe.

MAFODKM: Mobile Application Framework for the management of Omics Data and Knowledge Mining

There are many infectious diseases still plaguing different nations of the world. Some of these infectious diseases such as HIV, malaria, Ebola, and Lassa fever tend to affect less developed nations including those in Africa. In order to combat these diseases, there is need for ready access to omics data as the knowledge gained from this data can be used to combat infectious diseases globally. This study proposes a Mobile Application Framework for the management of Omics Data and Knowledge Mining (MAFODKM). The proposed framework was designed using a layered architecture. A prototype client application was implemented using JavaScript. In order to make it cross-platform, Apache Cordova framework was leveraged. The proposed framework will among other benefits provide an integrated platform for researchers to collaborate and conduct omics-related research to fight infectious diseases.

The components of an innovation ecosystem framework for Botswana's mobile applications

AbstractThe literature on information and communication technology comprises numerous studies on the role of mobile technologies in developing communities, including examples of innovative mobile applications which improve literacy and access to healthcare, banking and agricultural services. There is a growing understanding that sustainable development requires more than rational, scientific and technological means – it also requires a web of support from both social networks and business infrastructure. Innovation ecosystems consist of economic agents and relations, as well as non‐economic components such as technology, institutions, sociological interactions and culture, which facilitate idea‐making, innovation and the diffusion of such innovations. There is, as yet, no evidence‐based innovation ecosystem conceptualisation to describe the situation in Botswana. This study aims to identify and present the essential components of a mobile application innovation ecosystem, by using Design Science Research methodology and adopting a pragmatic research approach which draws on two theoretical streams: the Computing, Connectivity, Content and Capacity (4Cs) framework for information and communications technology, and a systems theory‐based Triple Helix Model of Innovation. In addition to making a theoretical contribution towards understanding information and communications technology for development innovation frameworks, the study provides practical recommendations in respect of supporting mobile application innovations in Botswana.

A multi-party, fine-grained permission and policy enforcement framework for hybrid mobile applications

A multi-party, fine-grained permission and policy enforcement framework for hybrid mobile applications

Designing a Mobile Application Framework as an Innovative IT Solution for Waste Recycling

In today’s modern society, we are facing the greatest environmental challenge, wastes management. With the growth of mobile application development, opportunities in enhancing the community’s waste recycling practices have become easier. The study focuses on designing a mobile application as an IT intervention in helping to re-shape individuals in waste recycling habits. The purpose of this paper is to support everyone in strengthening their waste recycling practices within the community. This study focusses on designing a mobile application by integrating the hybrid architectural framework. Also, the researcher used a codesign methodology to define the content features, system requirements and to identify the user of the system. This framework and design consideration are recommended for utilization and implementation to aid every member of the community in their waste management practices through innovative solutions. The result of the study could raise awareness of how emerging technology be a solution to climate change. It attests that there is a great opportunity in improving the recycling habits of every individual through IT innovation, which different stakeholders could take advantage of. Somehow, this study helps individuals to recognize the importance of mobile technology to contribute to the solution to global concerns associated with climate change.

A Security Framework for Mobile Application Systems: Case of Android Applications.

Smartphones have become a major part of human’s life. And also it has been seen that new mobile applications are built day by day. Currently mobile applications are playing major role in many areas such as banking, social networking, financial apps, entertainment and many more. With this increasing number of applications, security is an important issue. The growth of android market has increased security risk and thus focus should be given to the security. Security is the biggest issue in the field of mobile technology. Therefore, mobile applications need to be assessed and ensure that secure coding practices have been followed during development. Mobile application security breach can lead to fraudulent transactions through mobile applications, confidentiality and revenue loss through communications services misuse. Data that is shared on an unsecured channel is vulnerable to attacks and to stop unauthorized access to this data, there is need to encrypt the data before it is sent to the server. In this research work, different cryptographic algorithms for encrypting data and secure data sharing in mobile applications across communications channels were examined. Simulation methodology was used to investigate a suitable cryptographic algorithm and to design a security framework for mobile applications to solve mobile application security problems. The proposed framework employs the use of Advanced Encryption Standard (AES) algorithm for encrypting meter readings data being exchanged between a smart phone and the server. The results obtained from the simulation of the security framework, showed that the four fields namely: Account number, image path, meter number and phone number on which AES encryption was applied were in an unreadable format (ciphertext), implying that the fields have been successfully encrypted. This solution allows application users to transfer (upload readings) data between a smart phone and database server in a secure manner without facing the problem of data attack. Data being uploaded to the server is encrypted before it is transferred and decrypted once it reaches the server side. This solution addresses android application security in the application and network communications layers and data transmission. The research paper ensures information security is guaranteed between an organisation and its customers.

UML-based process model for mobile cloud forensic application framework - a preliminary study

The mobile cloud forensics has received a great deal of attention within the digital forensics community. Collecting potential evidence from the mobile cloud by applying forensically sound methods faces severe setback due to technological advancements. The latest forensic investigation tools and methods are inevitable to cope up with the increasing criminal activities on the mobile cloud platform. Thus, a forensically sound process is essential to develop critical methods for mobile cloud forensic investigators. This preliminary study presents a mobile cloud forensic process framework with the help of UML diagrams that primarily consists of identification, collection and preservation, examination and analysis, and evidence correlation and presentation phases. The proposed mobile cloud forensic process introduces the evidence correlation phase between the mobile and cloud. The proposed methods improve the evidence traceability in the cloud by determining the evidence related to the malicious activity of the suspected device in an efficient manner.