Android Mobile Devices Research Articles

A novel watermarking technique for video on android mobile devices based on JPG quantization value and discrete cosine transform approach

A novel watermarking technique for video on android mobile devices based on JPG quantization value and discrete cosine transform approach

An Automated Method for Generating Prefabs of AR Map Point Symbols Based on Object Detection Model

Augmented reality (AR) technology enables paper maps to dynamically express three-dimensional geographic information, realizing the fusion of virtual and real information. However, in the current mainstream AR development software, the virtual information usually consists of prefabricated components (prefabs), and the content creation for AR maps heavily relies on manual prefabrication. It leads to repetitive and error-prone prefabrication work, which restricts the design of the dynamic, interactive functions of AR maps. To solve this problem, this paper explored the possibility of automatically generating AR map prefabs using object detection models to establish a data conversion interface from paper maps to AR maps. First, we compared and analyzed various object detection models and selected YOLOv8x to recognize map point symbols. Then, we proposed a method to automatically generate AR map prefabs based on the predicted bounding boxes of the object detection model, which could generate prefabs with corresponding categories and positional information. Finally, we developed an AR map prototype system based on Android mobile devices. We designed an interaction method for information queries in the system to verify the effectiveness of the method proposed in this paper. The validation results indicate that our method can be practically applied to the AR map prefabrication process and can quickly generate AR map prefabs with high information accuracy. It alleviated the repetitive workload established through the manual prefabrication method and had specific feasibility and practicality. Moreover, it could provide solid data support for developing dynamic interactive functions of AR maps.

A review of detecting malware in android devices based on machine learning techniques

AbstractMalware developers install malware on mobile users' devices and steal their personal information without their knowledge. According to recent studies, it has been observed that malware developers are now targeting Android mobile devices. Researchers have examined the issues of detecting malware in these devices and proposed different methods and techniques. This study's main goal is to aid researchers in gaining a basic understanding of Android malware and its numerous detection methods. Earlier experiments that used machine learning to detect Android malware will be carefully reviewed in this paper. This in‐depth review article thoroughly examines the origins, evolution, and sustainability of Android malware detection. It offers an in‐depth literature review that includes the most recent approaches and research trends for detecting malware, from static analysis to dynamic analysis, machine learning, and deep learning. Additionally, we review current approaches' shortcomings and difficulties and suggest possible paths for further investigation. The paper aims to stimulate further innovation in this essential field by providing researchers and practitioners with a comprehensive overview of the current status of Android malware detection.

Helios.TALK: A decentralised messaging framework that preserves the privacy of users

Communication via digital means, such as mobile messaging applications (apps), plays an increasingly important role in everyday life. However, most messaging apps employ centralized computing principles that relinquish control of their users’ personal data to social network platform providers. Decentralization has been proposed as an alternative that provides trustworthiness and data confidentiality, but this comes at expense of fewer provided features and non-intuitive user experience. To address this issue, we hereby present two interconnected decentralized messaging tools, developed in the scope of the HELIOS platform, which can support new decentralized social networks. The first tool is a framework that supports the development of context-aware decentralized messaging apps in mobile Android devices by organically tying together many of the platform’s standalone decentralized operations. The second is a decentralized messaging app, called helios.TALK, that builds on the framework but accommodates additional design considerations from the perspective of end-users.

Development of a Thai naming application for clients with aphasia

Background: Aphasia, as brain damage resulting from a stroke, results in language impairment, including speaking, auditory comprehension, reading, and writing. Modern technology enhances self-administered recovery training, allowing clients to restore and improve communication. Objectives: This study developed and assessed the effectiveness of an application on Android mobile devices for language rehabilitation with an emphasis on picture naming. Materials and methods: A small sample research design was conducted with five primary caregivers and five clients with aphasia. The study was divided into two steps: application development and implementation using a single-subject experimental research design. This research design was divided into three phases: (1) Phase A1, a baseline of 2 weeks before applying the training; (2) Phase B, a training period of 6 weeks; and (3) Phase A2, a withdrawal period of 4 weeks. The total study period was 12 weeks. Results: The naming rehabilitation application was assessed by visual graphical data analysis, with differences analyzed at each phase interval. After using the application for six weeks, the naming scores of the participants as clients were measured by the Thai Adaptation of the Western Aphasia Battery test (WAB). Results showed increased naming scores while the clients developed their naming skills using the application. Conclusion: This application enhanced the clients’ naming skills and reduced the time taken to name the words when conducting repetitive stimulation exercises in the form of intensive training combined with various cueing techniques. This application promoted the ability of clients with word-finding difficulties to retrieve words.

An adaptive semi-supervised deep learning-based framework for the detection of Android malware

Positive developments in smartphone usage have led to an increase in malicious attacks, particularly targeting Android mobile devices. Android has been a primary target for malware exploiting security vulnerabilities due to the presence of critical applications, such as banking applications. Several machine learning-based models for mobile malware detection have been developed recently, but significant research is needed to achieve optimal efficiency and performance. The proliferation of Android devices and the increasing threat of mobile malware have made it imperative to develop effective methods for detecting malicious apps. This study proposes a robust hybrid deep learning-based approach for detecting and predicting Android malware that integrates Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM). It also presents a creative machine learning-based strategy for dealing with unbalanced datasets, which can mislead the training algorithm during classification. The proposed strategy helps to improve method performance and mitigate over- and under-fitting concerns. The proposed model effectively detects Android malware. It extracts both temporal and spatial features from the dataset. A well-known Drebin dataset was used to train and evaluate the efficacy of all creative frameworks regarding the accuracy, sensitivity, MAE, RMSE, and AUC. The empirical finding proclaims the projected hybrid ConvLSTM model achieved remarkable performance with an accuracy of 0.99, a sensitivity of 0.99, and an AUC of 0.99. The proposed model outperforms standard machine learning-based algorithms in detecting malicious apps and provides a promising framework for real-time Android malware detection.

Cyber Security to Android Mobile Devices

This article presents, summarizes, and develops cybersecurity technology concepts for Android mobile devices according to the current state of the problem. Based on the OSI model for android mobile devices, security protocols and applications, and also the main vulnerabilities and threats on the other hand, the current defenses against cyber attacks are revealed.

PELATIHAN DAN PENDAMPINGAN MEDIA PEMBELAJARAN BAHASA ISYARAT DI SLB NEGERI 1 PALOPO

Education is a universal right, including for children with special characteristics such as deaf students at SLB Negeri 1 Palopo. To support their learning, the use of interactive learning media based on information and communication technology, such as Augmented Reality (AR), is an effective solution. This Community Service aims to implement AR as an interactive and effective sign language learning medium for deaf students. This Community Service involves the introduction of student learning activities in sign language learning and the development of AR-based learning media products. The product is a mobile application that can be accessed using an Android mobile device. The implementation of learning media is carried out through the introduction of application features to teachers and students, as well as direct trials involving parental participation. The use of AR technology in learning media is also considered to provide an interactive and interesting learning experience for students. The implementation of Augmented Reality as an interactive sign language learning media at SLB Negeri 1 Palopo provides positive benefits in the learning of deaf students. This AR learning media can improve students' understanding of sign language in a more interactive and fun way. It also shows the potential of using technology in expanding educational accessibility for students with special needs, such as students who are deaf.

Introduction to Characteristics of Authenticity in Rupiah Based on Augmented Reality

This research is developing an application introduction to the characteristics of the authenticity of the rupiah by applying a system of Augmented Reality (AR) on android mobile devices. The Act of forgery of currency has a broad impact and is very detrimental to society. Congressional education applications introduction to the characteristics of the authenticity of the rupiah using augmented reality technology by applying techniques of marker-based tracking. This research made RUPIAR with the Multimedia Development Life Cycle (MDLC) method. Based on the testing that has been done, the results of the alpha testing are already functionally fit. From beta testing, test results from User Acceptance of functionality Test (UAT) obtained the value of 89.68%, declared eligible for use with the interpretation "Good", which means the application is worthy of being used and can be developed.

An object‐oriented approach toward two‐dimensional engineering mechanics

AbstractThe present work proposes an object‐oriented approach for the solution of problems in two‐dimensional engineering mechanics. New classes (in the terminology of object‐oriented programming) are proposed and implemented in the popular programming language ‘Python.’ These classes, along with the symbolic computation module of Python ‘sympy,’ enable one to reduce the solution of a large class of problems in undergraduate engineering mechanics to a set of Python statements. These statements are definitions of objects as instances of the proposed classes and calling of their relevant methods. If the thought process in the manual solution is represented by a flowchart, the present work can be viewed as a flowchart translator. As all the calculations are automatically performed, the present work relieves the student from the burden and fear of lengthy calculations. Different diagrammatic representations of velocity, acceleration, shear force, and bending moments are included for better physical understanding. It is believed that the proposed simple implementation would make problem‐solving and the learning process more enjoyable. Apart from a standard PC, the proposed work runs on a single‐board computer (tested in raspberry pi 4) and on an Android mobile device. A student feedback study ascertains the acceptability of the proposed method.

Perancangan Buku Mewarnai Interaktif Berbasis Teknologi Augmented Reality Dengan Unity Region Capture

Coloring activities are one of the activities most liked by early childhood, by coloring they can express their abilities based on their unlimited imagination. On the other hand, rapid technological developments actually make young children prefer to play smartphones by watching videos or playing games that are not beneficial for growth and development. Based on the problems above, the authors developed an application prototype for smartphones where this application can be integrated with mammal coloring books. This application uses Augmented Reality technology so that later there are virtual objects that appear as if they were in the real world. Using design and production methods users can see colored objects in 3D and look as if they were real. This application was made for Android mobile devices, and is expected to be especially useful for increasing children's creativity in the field of coloring, on the other hand it also encourages children who are addicted to smartphones to use smartphones for more useful activities. The test results stated that the interactive coloring book design could run smoothly as planned.

Smart Home with Natural Language Interface Using Arduino

In the fast-paced life of the 21st century, computerization plays a crucial part in mortal life. Home computerization allows us to control home electrical appliances like lights, doors, AC, etc. It also provides home security and allows an emergency system to be activated. Home computerization refers to not only reducing fatal attempts but also increasing energy efficiency and saving time. The main idea of home computerization and security is to help handicapped and elderly people by enabling them to control home appliances and warn them in critical situations. This design focuses on the implementation of home robotization and security systems using an Arduino microprocessor and an Android smartphone. Home appliances are connected to the microprocessor, and communication is entrenched between the Arduino and an Android mobile device or tablet via the Bluetooth module. It promotes system authentication for a sanctioned person to pierce home appliances. KEYWORDS: Home Automation, Microprocessor, Arduino, Bluetooth, Android mobile, Handicapped.

The Design of Convolutional Neural Networks Model for Classification of Ear Diseases on Android Mobile Devices

An otorhinolaryngologist (ORL) or general practitioner diagnoses ear disease based on ear image information. However, general practitioners refer patients to ORL for chronic ear disease because the image of ear disease has high complexity, variety, and little difference between diseases. An artificial intelligence-based approach is needed to make it easier for doctors to diagnose ear diseases based on ear image information, such as the Convolutional Neural Network (CNN). This paper describes how CNN was designed to generate CNN models used to classify ear diseases. The model was developed using an ear image dataset from the practice of an ORL at the University of Mataram Teaching Hospital. This work aims to find the best CNN model for classifying ear diseases applicable to android mobile devices. Furthermore, the best CNN model is deployed for an Android-based application integrated with the Endoscope Ear Cleaning Tool Kit for registering patient ear images. The experimental results show 83% accuracy, 86% precision, 86% recall, and 4ms inference time. The application produces a System Usability Scale of 76.88% for testing, which shows it is easy to use. This achievement shows that the model can be developed and integrated into an ENT expert system. In the future, the ENT expert system can be operated by workers in community health centres/clinics to assist leading health them in diagnosing ENT diseases early.

Pembuatan Aplikasi Animasi Tuntunan Berpakaian Bagi Wanita dan Pria Muslim Berbasis Android

Dress is one thing that is very important as self-expression and the interaction of the wearer influences how people communicate status, personality, identity, and feelings to others. Dressing also has rules according to Islamic law, namely dressing not transparently, not tight, not the color of the skin and not resembling the opposite sex. Due to the increasing era of globalization, Indonesian people, especially children of the next generation, actually imitate or participate in globalization by dressing that is not appropriate according to Islamic law. Besides that, the era of globalization greatly affects the development of technology. An example of a highly developed technology is Smartphones based on Android. One way to attract people's interest to know how to dress properly in Islam is with animated videos. The Android-Based Dressing Guide Application for Muslim Women and Men was created with two programs, namely Adobe Animate and Herman. The Adobe Animate application is used because it has more complete and up-to-date features and fulfills the need to create Android-based applications. Animated videos are made using Adobe Animate, for audio and backsound using stock background music from the Yottube platform and other supporting websites. The result of this application is an .apk file that is compatible with Android mobile devices. The results of testing this application are expected to provide understanding to children aged 6 years and over about the benefits of dressing according to Islamic law in an attractive and fun format.

Assuring quality in assisted reproduction laboratories: assessing the performance of ART Compass - a digital art staff management platform.

Staff management is the most cited ART/IVF laboratory inspection deficiency. Small ART/IVF clinics may be challenged to perform these activities by low staff volume; similarly, large ART/IVF networks may be challenged by high staff volume and large datasets. Here, we sought to investigate the performance of an automated, digital platform solution to manage this necessary task. The ART Compass (ARTC) digital staff management platform was used to assess the clinical decision-making of ART laboratory staff. The survey modules presented standardized instructions to technologists and measured inter- and intra-technologist variability for subjective "clinical decision-making" type questions. Internal and external comparisons were achieved by providing technologists two answers: (1) a comparison to their own lab director and (2) to the most popular response collectively provided by all lab director level accounts. The platform is hosted on HIPAA compliant Amazon web servers, accessible via web browser and mobile applications for iOS (Apple) and Android mobile devices. Here, we investigated the performance of a digital staff management platform for single embryologist IVF practices and for three IVF lab networks (sites A, B, C) from 2020 to 2022. Embryology dish preparation survey results show variance among respondents in the following: PPE use, media volume, timing of oil overlay, and timing of moving prepared dishes to incubators. Surveying the perceived Gardner score and terms in use for early blastocysts reveals a lack of standardization of terminology and fair to poor agreement. We observed moderate inter-technologist agreement for ICM and TE grade (0.47 and 0.52, respectively). Lastly, the clinical decision of choice to freeze or discard an embryo revealed that agreement to freeze was highest for the top-quality embryos, and that some embryos can be highly contested, evenly split between choice to freeze or discard. We conclude that a digital platform is a novel and effective tool to automate, routinely monitor, and assure quality for staff-related parameters in ART and IVF laboratories. Use of a digital platform can increase regulatory compliance and provide actionable insight for quality assurance in both single embryologist practices and for large networks. Furthermore, clinical decision-making can be augmented with artificial intelligence integration.

Android Mobile Device for Smart Health Surveillance with Automated Database

The electrocardiogram and temperature of the patient's body are continuously measured and displayed by the Smart Health Surveillance system, which also communicates with the doctor. The device uses an infrared sensor to measure ECG and temperature sensors to measure the patient's mouth and wrist temperatures. The microcontroller automatically talks with the web server and shows data from the sensors. The patient's vital signs are gathered using the current approach, which then manually enters the data into a database and sends it to a web server. The current approach does not warn the immediate area or the doctor when abnormal situations arise. An android device running our system's server application visualization module displays the gathered biological signals visually.

Implementasi Metode Location Based Services Pada Sistem Presensi Pegawai

The attendance system is a digital attendance record, this is needed to evaluate employee attendance data. During the corona virus pandemic, the employee attendance system having some problems related to physical distancing policies, it needs problem solving to solve the problem, it is namely by maximizing the attendance coordinates of each employee, which use Location Based Services (LBS) technology method and haversine formula that functions to calculate the distance of the attendance coordinates with the employee's position. Creating the system using Software Development Life Cycle (SDLC), Waterfall, Node.js, Express.js, Flutter and MySQL as well as a VPS server. The final result of the employee attendance system can run on two platforms, the frontend version on android mobile devices and the backend version on the website. The test results on the employee attendance system received a "reasonable" predicate with an achievement range of 70-74 %. The conclusion of this research is creating the creation of an employee attendance system use location coordinates which is answered the problems on this research.

Prototype for monitoring noise pollution as a tool for the empowerment of society

Objective: Acceptable levels are between 45 and 65 dB according to the OMS, exceeding these values ​​can affect mental and physiological health, deteriorating the quality of life of the inhabitants. The purpose of this research is to identify the levels of noise pollution in the historic center of the city of Popayán, Cauca, Colombia, during peak hours of midday.Method: Applying the Design Thinking methodology, a prototype based on the Internet of Things (IoT) and a mobile application were designed to monitor the acoustic level in real time, and thus offer a technological tool that contributes to the empowerment of society in relation to its environmental conditionsResults: Results: The software solution was developed for Android mobile devices, in operating system versions higher than 6.0 (Marshmallow), using tools such as Android Studio and Firebase. As a perspective of this work, it is suggested to make measurements for longer periods of time, and in several places in the city. Conclusions: Real-time measurements of the level of noise pollution, for example, through the application and measurements made during 9:11 A.M. and 6:31 p.m., on February 11, 2022, it was possible to deduce that the average level of noise pollution was 61.48 dB and that, in the measurements made in the morning, they were the ones with the highest levels of pollution. , being the data of 11:01 A.M.

Badoo Android and iOS Dating Application Analysis

Usage of mobile dating apps has been a rising trend in recent times, including during the COVID-19 lockdown periods. One of the key concerns about the use of such apps is in the amount and types of user data collected (e.g., personal and sensitive information such as sexual orientation, and information about online activities such as intimate messages and browsing behaviors). Since it is relatively easy and inexpensive to setup a man-in-the-middle attack and intercept dating app communication, a natural question is then whether the communication is encrypted and/or how much ‘useful’ information an attacker can infer from the intercepted communication, for example using freely available tools. Seeking to answer this question, we focus on the Badoo dating applications for both Android and iOS mobile devices (i.e., app version 5.187.0 on iPphone 7 (iOS 14.2), and app version 5.198.1 on Moto G5 Plus (Android v7.0)). Specifically, we explain the types of information an individual could obtain using only a laptop and Wireshark, a freely available network capture tool.

THE USE OF THE FLUTTER FRAMEWORK IN THE DEVELOPMENT PROCESS OF HYBRID MOBILE APPLICATIONS

The digitization trend poses the challenge to development engineers to design and program softwaresolutions compatible with different hardware platforms and operating systems in the shortest possible time. Thesedifferences are particularly prominent between Android and iOS mobile devices. For this reason, certain frameworksare created that enable the rapid creation of application software for different hardware platforms by writing onlyone code base. Applications created in this way are called hybrid applications. This paper was written to familiarizethe reader with the current possibilities of applying modern web technologies for the creation of hybrid mobileapplications. Through this paper, the principles of functioning of the Flutter working framework are presented to thereader, as well as the basics of the Dart programming language, used in the Flutter framework. The inner workingsconcepts of the Flutter framework are presented to the reader through practical examples of implementations of theapplication for purchasing and booking airplane tickets. The work also shows the internal system of widgets, whichare used to create parts of the graphical interface within the application, as well as parts of the code of the projectwritten in the Dart programming language.