Android Software Development Kit Research Articles

3 Phase Motor Water Management System using GSM

The greenhouse based modern agriculture industries are the recent requirement in every part of agriculture in India. In this technology, the humidity and temperature of plants are precisely controlled. Due to the variable atmospheric circumstances these conditions sometimes may vary from place to place in large farmhouse, which makes very difficult to maintain the uniformity at all the places in the farmhouse manually. It is observed that for the first time an android phone-control the Irrigation system, which could give the facilities of maintaining uniform environmental conditions are proposed. The Android Software Development Kit provides the tools and Application Programmable Interface necessary to begin developing applications on the Android platform using the Java programming language. Mobile phones have almost become an integral part of human life serving multiple needs of humans. This application makes use of the GPRS [General Packet Radio Service] feature of mobile phone as a solution for irrigation control system. In India agricultural field play a crucial role in economic development. That is the way to concentrate on that point.

Reliability of a Tablet Computer-Based Dyslexia Screening Application Using an Eye-Tracking System

Purpose: The early detection and management of dyslexia are crucial for preventing irreversible educational gaps and various negative consequences for affected students. However, diagnosing dyslexia is challenging because it requires a comprehensive assessment. Dyslexia screening tests that utilize fast, automated, computer-based technology can be useful for early identification and management. In this paper, we introduce a tablet computer-based dyslexia screening application that uses an eye-tracking system and verify its reliability.Methods: The study included 200 participants between 8 and 13 years of age from an elementary school, all of whom underwent dyslexia screening tests twice. The screening was conducted using the VisualCamp SeeSo eye-tracking Android Software Development Kit v3.0.0, implemented on Samsung Galaxy Tab S5e tablets. The eye-tracking system measured reading speed by gaze, mean gaze fixation time, gaze fixation frequency, saccadic length, and regression ratio. To assess the reliability of the two sets of measurements, the intraclass correlation coefficient (ICC) was employed.Results: Excellent reliability was found for measurements of gaze fixation frequency (ICC=0.83), gaze fixation mean time (ICC=0.82), and reading speed by gaze (ICC=0.76), and good reliability for measurements of regression ratio (ICC=0.75) and saccadic length (ICC=0.72).Conclusion: This study demonstrated that the tablet computer-based dyslexia screening application reliably measured eye movements in subjects with dyslexia. Furthermore, the application proved to be highly reliable and potentially suitable for use in clinical or school settings, eliminating the need for a laboratory environment and extensive equipment.

Aplikasi Analisis Sentimen Komentar Pengguna Genshin Impact Di Play Store

Google Play functions as the official app store for the Android operating system, allowing users to browse and discover applications developed with the Android software development kit (SDK) and published through Google. Google Play also serves as a digital media store, offering music programs, books, movies, and television shows. It previously offered Google hardware for purchase until it introduced a separate online hardware store, Google Store, on March 11, 2015.The research will utilize a web-based application development tool that uses Flask and JavaScript as the application interface, and the Pandas library from Python for data manipulation. Naïve Bayes will be employed as the methodology for analyzing sentiments based on words, and K-Fold Cross Validation will be used to strengthen the accuracy of the analysis results.Sentiment analysis typically classifies opinions into three categories: positive and negative. However, applications that can perform the process of creating training and testing sets from consumer opinion data, simultaneously analyzing consumer sentiment and dynamically measuring the accuracy of the analysis results, are still scarce. This study aims to develop an application capable of analyzing consumer sentiment with the mentioned functionalities, wherein Naive Bayes is used as the classification method.

AN INTELLIGENT CRIME MANAGEMENT SYSTEM FOR LAFIA METROPOLIS

Security is one of the major concerns in our societies today, and the issues related to it are steadily increasing in both intensity and complication. Predicting crimes could help, but that is a huge challenge as it requires a study of the behavioral pattern or trend of criminal activities. This research aims to develop an Intelligent Crime Management System for the Nigeria Police Force using a case study of Lafia metropolis in Nasarawa State. The java development kit (JDK), android software development kit (SDK), sinch sdk for app-to-app call, android studio, firebase and a virtual emulator, were used to accomplish the research objectives. This system is comprised of an android based mobile application for crime reporting and awareness, a geospatial database that houses both legacy and new crime data, and a web-based intelligent application. The system can utilize the crime data stored in the database to identify hotspots and clusters in the Lafia metropolis. It can also predict the crime likely to occur at a location and analyze risk assessment and situation assessment of crime in Lafia metropolis

VContact: Private WiFi-Based IoT Contact Tracing With Virus Lifespan

Covid-19 is primarily spread through contact with the virus, which may survive on surfaces with a lifespan of hours or even days if not sanitized. To curb its spread, it is hence of vital importance to detect those who have been in contact with the virus for a sustained period of time, the so-called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">close contacts</i> . Most of the existing digital approaches for contact tracing focus only on direct face-to-face contacts. There has been little work on detecting indirect environmental contact, which is to detect people coming into a contaminated area with the live virus, i.e., an area last visited by an infected person within the virus lifespan. In this work, we study automatic Internet of Things (IoT) contact tracing when the virus has a lifespan, which may depend on the disinfection frequency at a location. Leveraging the ubiquity of WiFi signals, we propose vContact, a novel, private, pervasive, and fully distributed WiFi-based IoT contact tracing approach. Users carrying an IoT device (phone, wearable, dongle, etc.) continuously scan WiFi access points (APs) and store their hashed IDs. Given a confirmed case, the signals are then uploaded to a server for other users to match in their local IoT devices for virus exposure notification. vContact is not based on device pairing, and no information of other users is stored locally. The confirmed case does not need to have the device for it to work properly. As WiFi data are sampled sporadically and asynchronously, vContact uses novel and effective signal processing approaches and a similarity metric to align and match signals at any time. We conduct extensive indoor and outdoor experiments to validate vContact performance. Our results demonstrate that vContact is effective and accurate for contact detection. The precision, recall, and F1-score of contact detection are high (up to 90%) for close contact proximity (2 m). Its performance is robust against AP numbers, AP changes, and phone heterogeneity. Having implemented vContact as an Android software development kit and installed it on phones and smart watches, we present a case study to demonstrate the validity and implementability of our design in notifying its users about their exposure to the virus with a specific lifespan.

Wake Lock Leak Detection in Android Apps Using Multi-Layer Perceptron

With the proliferation of mobile devices, the popularity of Android applications (apps) has increased exponentially. Efficient power consumption in a device is essential from the perspective of the user because users want their devices to work all day. Developers must properly utilize the application programming interfaces (APIs) provided by Android software development kit to optimize the power consumption of their app. Occasionally, developers fail to relinquish the resources required by their app, resulting in a resource leak. Wake lock APIs are used in apps to manage the power state of the Android smartphone, and they frequently consume more power than necessary if not used appropriately (also called energy leak). In this study, we use a multi-layer perceptron (MLP) to detect wake lock leaks in Android apps because the MLP can solve complex problems and determine similarities in graphs. To detect wake lock leaks, we extract the call graph as features from the APK and embed the instruction and neighbor information in the node’s label of the call graph. Then, the encoded data are input to an MLP model for training and testing. We demonstrate that our model can identify wake lock leaks in apps with 99% accuracy.

Design of a Near Field Communication-Enabled Points Collection Application System

Nowadays, users collect points by stickers after they purchase products. However, to issue stickers and to exchange points are inconvenient to store staffs and users. In addition, the traditional way for points collection increases the business cost because of additional cards and stickers. In this paper, we propose a novel, practical and integrated application system to resolve above issues namely NFC-enabled Point Collection Application System (NPCAS). NPCAS mainly consists of three subsystems including user-side APP, store-side APP and backend management system. The user-side APP let users to quickly complete points management, for instance, they can accumulate points by communicating with the store-side APP through Near Field Communication (NFC) technique. The store-side APP calculates the points of each transaction and updates them to the backend management system. Then, the users can inquire their current points, exchange details, exchangeable commodities and so on. Android operating system is the mainstream on smart phones so that the Android-based APPs attract a lot of attention. Accordingly, we develop both APPs based on Java, XML, Android Software Development Kit (SDK) and Android Studio. The backend management system is built by Apache server, PHP module, PHP files and MySQL database. The format that we used on information exchange between backend management system and both APPs is JavaScript Object Notation (JSON). In a word, NPCAS greatly simplifies the procedures of points collection and management.

Perancangan Aplikasi Peminjaman Pada PT. BANK Perkreditan Rakyat (BPR) Pijer Podi Kekelengan Medan dengan Metode Secure Election Protocol

In the era of computerization of information that has developed rapidly there is a growing operating system including mobile phones and smartphones. Android is software for mobile devices that includes the Android operating system equipped with an Android SDK (Software Development Kit) that provides tools and supports the need for API (Application Programming Interface) needed to develop loan registration and simulation applications at PT BPR Pijer Podi Kekelengen Medan Secure Election Protocol Method. Pijer Rakyat Credit Bank Podi Kekelengen is a financial institution that functions to serve credit and savings for customers. Simulation is a calculation that gives an idea of the amount of installments in a financing. Loan registration and simulation applications can provide information to prospective customers about product.

Toward a More Robust Home Automated System

The work reported in this article developed a home automated system using voice activation. This is with a view to providing users complete control over electrical appliances using simple easy to remember voice commands on an Android mobile device. This work was implemented using the Atmega 328 microcontroller, Relays and a Wi-Fi shield. The human voice is first converted to text using a Natural language processing tool from the Android based application. Thereafter, the text is sent over the internet via the PubNub to the microcontroller. The Atmega 328 microcontroller was programmed on an Arduino using C programming language and the Android based application was developed using Android Software Development Kit. Results obtained from the testing show that the implemented system achieves the mean scores of 8, 7.6, and 7.2 for ease of use, learnability and effectiveness respectively justifying the fact that the system is capable of controlling appliances by changing their state (ON/OFF) from remote a location with a response time within the reasonable limit.

A Mobile-based Tremor Detector Application for Patients with Parkinson’s Disease

Parkinson’s disease affects millions of people worldwide and its frequency is steadily increasing. No cure is currently available for Parkinson’s disease patients, and most medications only treat the symptoms. This treatment depends on the quantification of Parkinson’s symptoms, such as hand tremors. The most commonly used method to measure human tremors is a severity scale, which lacks accuracy because it is based on the subjectivity of neurologist review. Furthermore, the use of severity scales prevents the extraction of information from tremor activity, such as speed, amplitude, and frequency. Therefore, a mobile application was developed to measure the hand tremor level of Parkinson’s patients using a mobile phone-based accelerometer. Agile method was used to develop this application, and Android Studio and Android Software Development Kit were utilized. The application runs on an Android smartphone. This application allows patients to identify their tremor activity and subsequently seek relevant medical advice. In addition, a neurologist can monitor tremor activity of patients by analyzing the records generated from this application.

A Bounding Box Collision Detection Method Based On The Android System For Adventure Game

The purpose of this research is to create, design and develop “Star Ship Adventure” game using a bounding box collision detection method. This game is expected to be entertaining and fun to play in leisure time. It will be able to be built on Android device. The application of collision detection in games is used to detect collisions between objects in the game. This game is built using Android SDK (Software Development Kit), Android Development Tools, and Eclipse IDE using the Java programming language. Research results have shown that the player’s plane can read and detect collisions with enemy’s plane objects. The bounding box collision detection technique occurs when a player’s plane is able to estimate the distance of an enemy object. When the player moves in the enemy’s bounding box range, the detection occurs. As a result, the plane does not penetrate against the enemy.

Design of Mobile Application for Travelers to Transport Baggage and Handle Check-in Process

In this paper, an Android based application called ‘Baggage Check-in Handling System’ is developed for helping travelers/passengers transport their baggage to the airport and handle the check-in process. It is merging the idea of online baggage check-in, and tracking technology together. The application is stimulated from the rapid growth of on-demand ride services, such as UberX and Lyft and the wide spread adoption of smart-phones. The proposed system enables travelers to make an appointment before the flight’s take-off by requesting a driver to pick up the traveler’s baggage to transport to the airport. Then, travelers can track the driver’s location using Geographical Position System (GPS). Eventually after the check-in process, the driver will send a unique barcode provided for the baggage to travelers through the application. As a result, the traveler will have the choice of directly proceeding to the flight gate. The application is created for Android platform operating system, and developed in Java programming language using the Android software development kit (SDK). Additionally, data between database and server have been exchanged using phpMyAdmin. The application uses an authentication technique called Secure Hash Algorithm (SHA). This technique is designed to improve the scalability of authentication and reduce the overhead of access control.

Smartphone application for mechanical quality assurance of medical linear accelerators

Mechanical quality assurance (QA) of medical linear accelerators consists of time-consuming and human-error-prone procedures. We developed a smartphone application system for mechanical QA. The system consists of two smartphones: one attached to a gantry for obtaining real-time information on the mechanical parameters of the medical linear accelerator, and another displaying real-time information via a Bluetooth connection with the former. Motion sensors embedded in the smartphone were used to measure gantry and collimator rotations. Images taken by the smartphone’s high-resolution camera were processed to evaluate accuracies of jaw-positioning, crosshair centering and source-to-surface distance (SSD). The application was developed using Android software development kit and OpenCV library. The accuracy and precision of the system was validated against an optical rotation stage and digital calipers, prior to routine QA measurements of five medical linear accelerators. The system accuracy and precision in measuring angles and lengths were determined to be 0.05 ± 0.05° and 0.25 ± 0.14 mm, respectively. The mean absolute errors (MAEs) in QA measurements of gantry and collimator rotation were 0.05 ± 0.04° and 0.05 ± 0.04°, respectively. The MAE in QA measurements of light field was 0.39 ± 0.36 mm. The MAEs in QA measurements of crosshair centering and SSD were 0.40 ± 0.35 mm and 0.41 ± 0.32 mm, respectively. In conclusion, most routine mechanical QA procedures could be performed using the smartphone application system with improved precision and within a shorter time-frame, while eliminating potential human errors.

SMART APPLICATION : One Stop Services to Bridge The Gap Between Doctor and Patients

Normal 0 false false false EN-ID JA X-NONE A doctor's communication is a way to gather information in order to facilitate accurate diagnosis, give therapeutic instructions, counsel appropriately and establish caring relationships with patients. SMART (sophisticated, modern, affordable, reproductive technology) in vitro fertilization(IVF)created a mobile application that allows registered users to access all information related to their IVF cycle. The software required to create SMART application was the Android 4.0.3 Ice Cream Sandwich. The hardware required to create the SMART apps were 4.0 inch screen, 512 mb random-access memory (RAM), and central processing unit (CPU) with dual core 1.2 Ghz. The application is built using the android software development kit (SDK), the android apps creator. This application has been tested on several android devices such as asus zenfone 5 and samsung galaxy grand prime. This application uses android studio software to transfer the application file into the testing devices. SMART IVF application works well. The SMART application consists of some example features, such as feature doctors profile and information on how to make appointment with doctors.SMART app designed to help parents get directly involved during all the phases of IVF process and reduce their stress during the treatment and pregnancy. Since now this application not yet ready to launch, but hopefully in few months ahead, we can launch soon in google playstore as the first Indonesian IVF application.

Development and Technical Validation of the Mobile Based Assistive Listening System: A Smartphone-Based Remote Microphone.

The purpose of this research note is to describe the development and technical validation of the Mobile Based Assistive Listening System (MoBALS), a free-of-charge smartphone-based remote microphone application. MoBALS Version 1.0 was developed for Android (Version 2.1 or higher) and was coded with Java using Eclipse Indigo with the Android Software Development Kit. A Wi-Fi router with background traffic and 2 affordable smartphones were used for debugging and technical validation comprising, among other things, multicasting capability, data packet loss, and battery consumption. MoBALS requires at least 2 smartphones connected to the same Wi-Fi router for signal transmission and reception. Subscriber identity module cards or Internet connections are not needed. MoBALS can be used alone or connected to a hearing aid or cochlear implant via direct audio input. Maximum data packet loss was 99.28%, and minimum battery life was 5 hr. Other relevant design specifications and their implementation are described. MoBALS performed as a remote microphone with enhanced accessibility features and avoids overhead expenses by using already-available and affordable technology. The further development and technical revalidation of MoBALS will be followed by clinical evaluation with persons with hearing impairment.

On Centralized and Decentralized Architectures for Traffic Applications

The role of smartphones in traffic applications is typically limited to front-end interface. Although smartphones have significant computational resources, which are most likely to increase further in the near future, most of the computations are still performed on servers. In this paper, we study the computational performance of centralized, decentralized, and hybrid architectures for intelligent transportation system applications. We test these architectures on various Android devices. For implementation, we consider Android Software Development Kit (SDK) and Android Native Development Kit (NDK). Numerical results show that recent smartphones take less than 1 s to estimate the speed for each road segment in a network of 10 000 links from speed measurements at 1000 links. The proposed decentralized architecture significantly reduces the overhead of the communication network and paves the way for new cooperative traffic applications and operations.

A Light Weight Text Extraction Technique for Hand-Held Device

Automated systems for understanding display boards are finding many applications useful in guiding tourists, assisting visually challenged and also in providing location aware information. Such systems require an automated method to detect and extract text prior to further image analysis. In this paper, a new approach that uses zonewise profile features to identify and segment text regions from low resolution images of display boards captured from mobile phone cameras is presented. The method computes zonewise profile features on every 40 × 40 pixel image block and identifies potential text blocks using newly defined discriminant functions. Further, a merging algorithm is used to merge text blocks to obtain text regions. The method is implemented using the android software development kit and experimented on Sony X-PeriaTM Z C6603/C6602 mobile. The proposed methodology is evaluated on 3240 low resolution images of display boards captured from 2 and/or 5 mega pixel cameras on mobile phones at various pixel sizes 240 × 320, 480 × 640 and 960 × 1280 and reports an average processing time of 13 s and detection rate of 95.5%. The proposed method is found to be robust and insensitive to the variations in size and style of font, thickness and spacing between characters.

MO‐FG‐303‐04: A Smartphone Application for Automated Mechanical Quality Assurance of Medical Accelerators

Purpose:The mechanical quality assurance (QA) of medical accelerators consists of a time consuming series of procedures. Since most of the procedures are done manually – e.g., checking gantry rotation angle with the naked eye using a level attached to the gantry –, it is considered to be a process with high potential for human errors. To remove the possibilities of human errors and reduce the procedure duration, we developed a smartphone application for automated mechanical QA.Methods:The preparation for the automated process was done by attaching a smartphone to the gantry facing upward. For the assessments of gantry and collimator angle indications, motion sensors (gyroscope, accelerator, and magnetic field sensor) embedded in the smartphone were used. For the assessments of jaw position indicator, cross‐hair centering, and optical distance indicator (ODI), an optical‐image processing module using a picture taken by the high‐resolution camera embedded in the smartphone was implemented. The application was developed with the Android software development kit (SDK) and OpenCV library.Results:The system accuracies in terms of angle detection error and length detection error were &lt; 0.1° and &lt; 1 mm, respectively. The mean absolute error for gantry and collimator rotation angles were 0.03° and 0.041°, respectively. The mean absolute error for the measured light field size was 0.067 cm.Conclusion:The automated system we developed can be used for the mechanical QA of medical accelerators with proven accuracy. For more convenient use of this application, the wireless communication module is under development. This system has a strong potential for the automation of the other QA procedures such as light/radiation field coincidence and couch translation/rotations.

An Android Application for Simplifying Boolean Functions

Students who are enrolled in computer-related courses need to have a fundamental knowledge and application of Boolean expressions. Learning Boolean algebra and digital logic are somehow difficult for students to grasp especially because these disciplines highly require them of critical thinking and logical understanding. To address this need, the researchers designed and developed a mobile application for Android-enabled phones that will assist the teacher in explaining the concepts of Boolean expressions to students. Developmental-experimental designs of research were used. The data gathered from the respondents were analyzed and utilized in the application development where it accepts Boolean expressions and displays the generated simplified expression, truth table, Karnaugh map, and logic circuit diagrams. The application does not require a network connection and runs only on the Android operating system. The researchers used the following tools in the development of the mobile application: Eclipse as editor, Android Software Development Kit (SDK) as a development tool, and SQLite as its database. The mobile application was tested, evaluated, and used by the respondents. Respondents agreed that the application is better than the manual procedures in simplifying Boolean expressions. Thus, this Android-based application is highly recommended as a tool for teaching Boolean expressions. Keywords- Information Technology, Boolean algebra, descriptive-developmental method, Philippines

A Study of The Interface Usability Issues of Mobile Learning Applications for Smart Phones from the User’s Perspective

A conceptual framework for measuring the usability characteristics of mobile learning (m-Learning) application has been developed. Furthermore, a software prototype for smartphones to assess usability issues of m-Learning applications has also been designed and implemented. This prototype has been developed, using Java language and the Android Software Development Kit, based on the recommended guidelines of the proposed conceptual framework. The usability of the proposed model was compared to a generally available similar mobile application (based on the Blackboard) by conducting a questionnairebased survey at Western University. The two models were evaluated in terms of ease of use, user satisfaction, attractiveness, and learnability. The results of the questionnaire showed that the participants considered the user interface based on our proposed framework more user-friendly as compared to the Blackboard-based user interface.