Android Application Research Articles

Android Application for Online Fertilizer Selling and Accounting

Android Application for Online Fertilizer Selling and Accounting

Implantation of Android for Better Health with Medication Management App

The Android application has been developed with the aim of assisting patients in maintaining their health by reminding them of their medication schedules through an Alarm Ringing system. Targeting individuals prone to forgetting their dosage timings, this application provides a user-friendly interface for setting alarms with fields for date, time, and medicine description. Users have the flexibility to schedule alarms for multiple medications at various intervals according to their prescribed regimen. Additionally, a notification system is integrated to alert users after configuring the alarm settings. Furthermore, users retain control over the activation and deactivation of these notifications as per their preference. This study presents a system leveraging the Android Operating System to facilitate medication adherence through timely reminders and automatic alarm functionalities. In today's fast-paced and stress-laden lifestyle, individuals are increasingly susceptible to various illnesses, underscoring the importance of maintaining health and wellness. With the ubiquitous presence of smartphones in our tech-driven society, these devices serve as indispensable tools. Leveraging this technology, the proposed system aims to harness the potential of smartphones to enhance health management practices. By incorporating notifications and automated alarms, the system seeks to alleviate the challenges associated with medication adherence, thereby contributing to improved overall well-being.

Development of a spatial framework for flash flood damage assessment and mitigation by coupling analytics of machine learning and household level survey data – A case study of rapid collaborative assessments and disbursement of public funds to the affectees of floods 2022, Punjab Pakistan

In August 2022, one of the most devastating floods in the history of Pakistan was triggered due to heavy and exceptionally high monsoon rainfall. It has affected thirty-six million people across the country and agriculture losses were recorded in the most productive Indus plains which aggravated the food insecurity in the country. This study focuses on the two districts of Punjab provinces includes DG Khan and Rajanpur, where huge flood damages were reported. As part of damage and loss assessment methodologies, GIS/RS based approach is developed in this study to estimate flood extent in DG Khan and Rajanpur. Field survey was conducted using android based devices with the help of military and government organizations such as PDMA, to verify and record flood damages. Information regarding damage includes property, livestock, people, crop and other damages with real-time images captured and stored via android app and flood data monitoring was visualized on a web-based dashboard. SAR data (Sentinel 1-A) was used to calculate and verify extent of the flood along with Sentinel 2-A dataset to extract Land cover classes. SAR flood maps were validated using the survey data retrieved during flood events. This data was compared with the Sentinel-1A dual polarised (VV & VH). The SAR data (Sentinel-1A) was also collected for the same day to extract the Flood Extent of August/September 2022 using Modified Normalized Difference Water Index (mNDWI). Hence, flood inundation map was prepared using polarisation. This examination is confirmed through the kappa coefficient (κ), which is 0.88 for VV polarisation and 0.86 for VH polarisation. In VV polarisation, PA and UA of ‘water’ are less than of all ‘other classes. Mauza level mapping was also conducted to identify the damaged mauzas in both floods affected districts to figure out damaged villages and find out damaged property with khasra or mauza name. GIS RS based and survey-based model was developed in this research, which replicated on two districts of Punjab to assess flood damage, it will help Pakistan government to always asses flood damages to crop, houses, livestock and other assets. This helped to communicate with the local governments and identify and rank high affected villages; so that priority shall be given as per intensity of the damages. An android application for flood survey was developed. The flood survey application provided facility to estimate the on-ground reality of each individual, property, crop and livestock damage due to flood. This application was mainly used for the assessment purpose that provides detail information with precise location and real visualization of the damage assets. Joint survey teams were constituted including members from the Provincial Disaster Management Authority, National Disaster Management Authority, Pakistan Army, Local Government and the Urban Unit. Each village classified as flood damages/affected was visited by the survey team through a proper survey plan. After all the flood data was recorded, now the next step was to build transparent system to distribute funds to the flood victims. For this purpose, Bank has developed dashboard to distribute funds to the affected by the Government of Punjab.

DUOLINGO & English Vocabulary: How Students Acquire New Vocabulary by Playing the Game

This article discusses about the use of an android mobile application, Duolingo, to improve students of junior high school vocabulary mastery. Purpose of study: The study aims to find out how is the process of the students acquire vocabulary through playing the game? and, can the application improve the student’s vocabulary mastery? Method: It is a case study involving 30 students as participants. Questionnaires and vocabulary Test were given to the students after playing the game for several times. Result: It is found that most of the students are excited and enjoying playing the game. Gamification is the most favorite features according to them. They acquire many vocabularies after playing the game based on the vocabulary Test result. Conclusion: It is concluded that Duolingo, an android application, is increasing the student’s motivation in learning English as well as improves their vocabulary mastery.

MIB-Inquiry-Infographic Android Application and Its Impact on Students' Critical Thinking Skills during the COVID-19 Pandemic

<p style="text-align:justify">Momentum-impulse requires critical thinking skills, and teaching should be encouraging for students. Critical thinking skills can be fostered through inquiry-based learning. During the COVID-19 pandemic, familiar learning media were used for students. Therefore, it is necessary to develop creative learning media. This developmental research aimed to create a momentum-impulse e-book based on inquiry supported by infographics (MIB -In-graph) to enhance students' critical thinking skills. The developmental model was a 4D model with field testing, i.e., a pretest-posttest control group design with three classes. Descriptive analysis showed that MIB-In-graph, an Android application, received a good average rating in content, worksheets, and forms. Students’ responses were very positive. Mixed design ANOVA showed that the mean score of students’ critical thinking skills increased significantly from the pretest to the posttest in each class and students’ critical thinking skills in the experimental class was more salient than control class 1 and control class 2. The highest difference in mean scores was in the experimental class. The differences were influenced by various factors such as learning approaches, media use, pictures, and collaboration.</p>

A Comparative Analysis of Malware Detection Methods Traditional vs. Machine Learning

Mobile devices have been the target of malicious software since their beginnings. Two known types
 of malware threats can intrude into mobile, independently injected applications and fraudulent
 applications that are developed to breach the security of mobile devices. Mostly these fraudulent
 applications access data using API calls and permission requests. API calls and permission requests
 are important for smooth conversation between mobile devices and database servers. This research
 proposes an efficient classification model that concatenates API calls and permission requests to
 detect malicious applications. We have used a dataset that contained more than 15 thousand Android
 devices’ malware. We have divided data into three groups to differentiate between the malicious
 permission requests and malicious API calls with normal permission requests and normal API calls.
 To increase the probability of recognizing Android malware applications, we develop three distinct
 grouping strategies for selecting the most valuable API calls that are obscure, critical, and obstreperous and are chosen because Android apps extensively use several application programming interfaces (APIs). According to the results, malware applications require authorizations to access confidential information very frequently than normal Android applications do. Also, malicious Android
 applications raise a diverse set of API calls to access sensitive data, evidenced by malware applications making a distinct set of API calls. Our proposed method attains an F-score of 94.04%, which suggests that it is efficient at discovering mobile malware applications. Our model can be of significant assistance in conducting mobile application analysis and forensic investigations into malware.

Soil Base Crop Prediction using Machine Learning

In general, agriculture is the backbone [Grab your reader's attention with a great quote from the document or use this space to emphasize a key point. To place this text box anywhere on the page, just drag it.] of India and also plays an important role in Indian economy by providing a certain percentage of domestic product to ensure the food security. But now-a-days, food production and prediction is getting depleted due to unnatural climatic changes, which will adversely affect the economy of farmers by getting a poor yield and also help the farmers to remain less familiar in forecasting the future crops. This research work helps the beginner farmer in such a way to guide them for sowing the reasonable crops by deploying machine learning, one of the advanced technologies in crop prediction. Naive Bayes, a supervised learning algorithm puts forth in the way to achieve it. The seed data of the crops are collected here, with the appropriate parameters like temperature, humidity and moisture content, which helps the crops to achieve a successful growth. In addition as the software, a mobile application for Android is being developed. The users are encouraged to enter parameters like temperature and their location will be taken automatically in this application in order to start the prediction process

Managing Department Notification Using Android Application

The proposed project is a smart this project's primary goal is to automate and increase mobility in an institution's student inf. management process. In a real-world setting, like a college campus, information is communicated among the students verbally, through handwritten manuals, and by notice. Today, it is crucial for students to communicate with one another more quickly and easily by using new channels in addition to the traditional ones, including cell phone technology. Universities and colleges generally use notice boards, websites, emails and many different social media sites to circulate information, notices etc. Many time students are not able to keep track of all these sources resulting in them missing out on certain events. In order to overcome these shortcomings and ensure that students do not miss important news, an application is to design a “Department Information App” using android application. The main idea behind the application is to facilitate the discovery of events in and around institutions/organizations in order to keep everyone informed about interesting events such as conferences, workshops, internships etc. using a single application that allows students and faculty to view notifications from anywhere

Augmented Horizons: Development and Impact of Augmented Reality on Atmospheric Education

Educational media serve as a supporting component in learning, offering benefits to enhance student engagement, interactivity, and interest in learning. The media employed should align with current advancements in science and technology, one of which is Augmented Reality (3D), a medium capable of projecting virtual objects into reality. This study aims to 1) Produce an AR media design for high school geography education on atmospheric topics, 2) Determine the feasibility of using AR-based media for such geography education. The creation of the Augmented Reality (3D) educational media utilizes the Borg and Gall (1989) model, which comprises ten development steps. This media creation employs Unity 3D software and supporting applications such as Vuforia, Cinema 4D, and Corel Draw. The development of this educational media resulted in two products: a smartphone application (for Android and iOS) named Cloud AR and its accompanying book, both of which meet UNESCO standards. Based on the research findings, the developed educational media is deemed suitable for use, with a score of 85.16% and classified in the suitable category.

Stream Shield: An Anti-Piracy Movie Streaming Android Application with Screen Recording Detection and Integrated Media Content Protection using Advance Encryption Standard (AES) Algorithm

In the context of movie streaming, unauthorized screen recording during playback poses a significant threat to the integrity of copyrighted content, leading to illicit distribution and negatively impacting both content creators and legitimate viewers. To combat these issues, "StreamShield," an anti-piracy movie streaming Android application, has been developed. This project focuses on integrating algorithms and technology to address screen recording detection and content protection while actively engaging users in the fight against piracy. The key features of the StreamShield application are designed to fortify content protection and enhance the user experience. The application itself incorporates an Anti-Screen Recording Mechanism, an Encrypted Media File system using the Advanced Encryption Standard (AES) algorithm, and a Picture Overlay Interference feature that adds an extra layer of complexity for illicit screen recording. By addressing these challenges, StreamShield not only redefines copyright enforcement but also empowers users to actively participate in safeguarding creative content. This project adheres to ISO-25010 guidelines, ensuring functionality, performance efficiency, reliability, and usability, thus contributing to a more secure and accountable digital entertainment ecosystem.

OneWorldGiving : Uniting NGO’s and Donors for a Better World

"OneWorldGiving: Uniting NGOs and donors for a Better World" is a project aiming to bridge the gap between donors and NGOs in India's philanthropic scene. The initiative aims to create a platform that promotes efficiency, transparency, and cooperation, fostering shared responsibility and trust among all parties involved. Other studies have focused on cloud-based mobile applications, automation of donation procedures using Azure Logic Apps, Android app for receiving food, clothing, and book contributions, and mobile applications for community projects and NGOs. However, challenges such as platform-specific specifications, outdated devices, and specialist knowledge in Flutter programming may arise. The NGO Portal website aims to help NGOs and potential volunteers interact, promoting a sense of community and unity among stakeholders. The Android application focuses on making book contributions to NGOs easier, with a Donation Registration component, Firebase database, and User Management feature. The project aims to create a transformative platform that promotes cooperation, openness, and group compassion, improving lives for those in need.

FitTrack BloodLink

FitTrack BloodLink is an innovative Android application designed to enhance users fitness tracking experience by seamlessly integrating it with life-saving blood donation and request functionalities. This comprehensive app automatically determines the user's starting point as their current location and sets the destination point upon finishing the run. Utilizing GPS tracking, FitTrack BloodLink monitors users routes throughout their runs, capturing essential fitness metrics like distance covered, calories burned, average speed, and total duration in real time. Additionally, users can register as blood donors through the app, making it easier for those needing donations. FitTrack BloodLink also includes a map feature displaying nearby blood donors, allowing users to view donor details and contact them directly via phone with a single click on the marker.

Redesigning Android Development: Using Reactive Programming to Retrofit REST APIs and Concurrency

In this paper the current techniques and tools used by developers to create applications are described in detail and the use of REST APIs in Android applications as a case study. The first component is the installation of the APIs, which we will focus on the Retrofit library for network management, and the API Clients to manage requests. This study evaluates the nuances of JSON parsing, serialization, and deserialization through the Retrofit API client. We study the technique of data searching, the introduction of Tap Drawer using Firebase to improve the app functionality, and the string transformation method of Scalar with JSON Converter Factory.The tutorial explains how to set up an API, design an interface for Product ID query, use a Binding Adaptor for handling images and a Glide dependency to load images. As well, we consider how to create a Product Adaptor for a Recycler View which leverages Fragments to implement complex user interfaces. According to the plan of Android development, we absorb width, wrap content and verticality alignment as layout factors.The building of the “Adapter List” based on the “Create View Holder” function and the creation of Product Model class — which consists of fields for ratings and product details — as well as the JSON integration are presented in the article. Asynchronous processes are applied in the application as well as the `enqueue` technique has been used to provide effective network connection.We intend to acquire an experimental data by app scanning on the Android platform, by referring to Stack Overflow's most favourite pages and through a survey of mobile application developers in order to build a code collection associated with REST mobile client technologies. From our findings it follows that application communicating through the Internet phenomenon associated with JSON syntax implementation in comparison to XML data processing execution rather widespread and acceptable in terms of Android developers. We include the HTTP libraries standardized by third-party organizations in the paper which also explains how to use the practices.In unity, we discuss the perks of Android system uniqueness which facilitates the application customization, suppliers and the consumers, in terms of security, usability, and usefulness. Our app framework for Android offers coronary adjust to existing apps through behaviour simply without accessing or modifying app source code but sticks to the universal app-agnostic transformation objectives. This architecture is thus designed to allow the modified software version to function without any hindrance on any normal Android device. Keywords- REST API, Android, Retrofit, Firebase, Gson, Recycler View, JSON parsing, HTTP libraries, refactoring, Android programming principles.

Antie-theft Device Tracking System

This project's goal is to develop an Android application that offers SMS-based location tracking capabilities for Android devices. We can also follow the images of the individual who took our Android phone. This function supports Android OS and sends and receives emails and SMS in response to calls. With simple SMS commands, you can track your Android device. Tracing a location: We can use basic SMS commands to locate the misplaced phone. In a theft gadget, the camera can be remotely manipulated to take pictures. It is said of mobile gadgets that they are portable and that a person can carry them from one place to another. Mobile device theft occurs frequently, and the current system watches users' walking patterns and movements.

SNDGCN: Robust Android malware detection based on subgraph network and denoising GCN network

Android malware seriously affects the use of Android applications, and a growing number of Android malware developers are using adversarial attacks to evade detection by deep learning models. This work proposes an Android malware detection model based on the Android function call graph (FCG) and the denoising graph convolutional network (GCN) that is resistant to adversarial attacks. Methods are also proposed to simplify the FCG to reduce its size, and to construct vertex feature vectors. Because attackers may employ adversarial attack methods, the proposed model uses the subgraph network (SGN) to detect the underlying structural features of the FCG to discover the degree of the obfuscation attack. A denoising graph neural network (GNN) is designed, and the 1-Lipschitz-based neural network denoising method is applied to graph convolution. Moreover, the degree of denoising is adjusted according to the degree of obfuscation, which enhances the robustness of the model. The GCN performs the feature vector extraction of the FCG, and a multilayer perceptron (MLP) is used as the classifier. The results of experiments show that the F1 value of the proposed Android malware detection method is higher than those of other malware detection models for different levels of obfuscation attacks, thus demonstrating its effectiveness against such attacks.

GHGDroid: Global heterogeneous graph-based android malware detection

As the most popular mobile platform, Android has become the major attack target of malware, and thus there is an urgent need to effectively thwart them. Recently, the graph-based technique has been a promising solution for malware detection, which highly depends on graph structures to capture behaviors separating the malware from the benign apps. However, existing graph-based malware detection approaches still suffer from high computation cost in constructing or updating a graph for APK under detection, high false negative and false positive. To cope with these issues, we propose a novel global heterogeneous graph-based Android malware detection approach, named GHGDroid. A global heterogeneous graph (GHG) with a good updatability is first built on large-scale Android applications to characterize complex relationships among APKs and sensitive APIs. And then, using the GHG, a multi-layer graph convolutional network based embedding method is proposed to learn APK embeddings for well capturing behaviors that can separate malware from benign. Finally, using APK embeddings as well their labels, a malware classifier is trained. Experiments on real-world Android applications show that GHGDroid achieves 99.17 % F1-score, which outperforms the state-of-the-art approaches. Moreover, GHGDroid spends about 8 s on detecting an APK, which shows that it has a good potential as a practical tool for the Android malware detection task.

HertDroid: Android Malware Detection Method with Influential Node Filter and Heterogeneous Graph Transformer

The explosive growth of malware targeting Android devices has resulted in the demand for the acquisition and integration of comprehensive information to enable effective, robust, and user-friendly malware detection. In response to this challenge, this paper introduces HertDroid, an innovative Android malware detection method that leverages the hidden contextual information within application entities. Specifically, we formulate a heterogeneous graph encapsulating rich semantics of entities and their interactions to model the behavior of Android applications. To alleviate computational burdens, a filter is implemented to identify nodes containing crucial information. The Transformer architecture is then deployed for efficient information aggregation across diverse entities. In our experiments, HertDroid demonstrates superior performance by achieving the highest F1 scores when compared to baseline methods on a dataset comprising 10,361 benign and 11,043 malicious apps. Notably, HertDroid excels in maintaining a lightweight profile, and its performance is achieved without the necessity of manual meta-path configuration.

FarmTech Connect

As India is an agricultural country so it is important to provide some advanced features for the farmers such as upload crop photos, farmer will connect with expert by chat or call. With the help of such features farmer can easily find the solution for their problem and interact with the help of android application easily, Farmers may easily post photos of their plants and crops to this portal, which is mobile-friendly. We provide a solution for farmers which helps farmers to increase their products. Lots of farmer are unaware about the solution about the particular problem so they not able to increase their profit so lots of difficulty they will face in day-to-day life. To overcome from the above drawback, we build android application that helps interact easily. The method is intended to provide these farmers with direct access to certified specialists with knowledge in agriculture, plant and crop diseases, and other related fields. This platform's main objective is to provide farmers with vital support in handling issues pertaining to their plants and crops. Farmers may more easily share photos of their plants with recognized professionals, who can then provide exact advice and recommendations

“AgriCare”- The Farming App

As India is an agricultural country so it is important to provide some advanced features for the farmers such as upload crop photos, farmer will connect with expert by chat or call. With the help of such features farmer can easily find the solution for their problem and interact with the help of android application easily, Farmers may easily post photos of their plants and crops to this portal, which is mobile-friendly. We provide a solution for farmers which helps farmers to increase their products. Lots of farmer are unaware about the solution about the particular problem so they not able to increase their profit so lots of difficulty they will face in day-to-day life. To overcome from the above drawback, we build android application that helps interact easily. The method is intended to provide these farmers with direct access to certified specialists with knowledge in agriculture, plant and crop diseases, and other related fields. This platform's main objective is to provide farmers with vital support in handling issues pertaining to their plants and crops. Farmers may more easily share photos of their plants with recognized professionals, who can then provide exact advice and recommendations

Development of Speaking Training Media Based Android Application for Beginner BIPA Learners

Darmasiswa program is an Indonesian language learning program for foreign speakers. In this program, students are introduced to Indonesian language and culture. Beginner level BIPA learning in the program still finds problems related to teaching materials on speaking skills. Based on these problems, there is a need for the development of media for practicing speaking skills. The media aims to enable students to practice speaking independently without the need to be accompanied by a teacher or native speaker. The development of the training media can answer the formulation of problems related to the feasibility of content, language, and presentation systematics. The ADDIE model was used in this development. Based on the validation of speaking training media, the results obtained (1) material validation resulted in a good category, (2) language validation resulted in a good category, (3) media validation resulted in a very good category, and (4) practitioner validation resulted in a very good category. Based on this validation, the android-based speaking skill training media can be implemented for beginner BIPA students so that it produces an excellent category. This makes this speaking training media easier for beginner-level BIPA students in meeting the competency standards of beginner-level speaking skills.