Android Smartphone Application Research Articles

Rancang Bangun Running Text Menggunakan Modul Led Matrix P10 Berbasis Arduino Uno Di Fakultas Teknik Universitas Pgri Banyuwangi

Abstract - Running text or commonly known as running text is a medium for delivering information that we often encounter in public places, both in places of worship, shopping centers and shops because it is informative. Running text one of the digital electronic media in the form of an information board designed from several LEDs and arranged in a matrix to display text. Currently, most text writing relies on a computer unit or via Bluetooth on an android smartphone which has limitations in terms of distance and is less efficient. The stage of making the tool uses the ESP8266 module, Arduino Uno AtMega 328 as the control center on the display information board, RTC DS3231 as a timer to display the hour, day, date, month, and year which will be displayed on the running text. Then to input text information using an android smartphone application with a wifi connection, then the text is received by the ESP8266 module which is forwarded to the Arduino UNO AtMega 328 to be displayed on running text which can be in the form of letters, numbers, and punctuation marks. Through this running text design, it is hoped that the information delivery system at the Faculty of Engineering, PGRI Banyuwangi University, is more effective and efficient, the process of changing the text can be done at any time and the process of changing the running text data becomes easier. The running text uses a P10 type LED matrix with a size of 96x32 cm. Keywords — Running text, Arduino Uno AtMega 328, ESP8266, Modul LED Matrix P10

RANCANG BANGUN KURSI RODA ELEKTRIK BERBASIS INTERNET OF THINGS (IOT)

Wheelchairs are mobility devices that are often used by people who have difficulty walking on their feet, due to illness, injury, or disability. Most of the wheelchairs that exist today are still using the manual system. Ideally, a wheelchair is needed so that users feel free and comfortable in adjusting the wheelchair movement according to their wishes.
 This study aims to make an innovation in the form of designing an electric wheelchair based on the internet of things (IoT). In this tool, there are several integrated electronic components such as NodeMCU, voltage sensor that is connected to the android smartphone application. Delphi XE8 software functions to create control applications that can be controlled via a smartphone. The control system on a smartphone uses an internet connection to process the wheelchair control system. This tool is very dependent on the connection and stability of the internet network.
 Design of electric wheelchair based IoT, has the performance that a wheelchair can carry a maximum load of 30kg at a speed of 0.79m / second, plus an accumulator / battery load and a 6.4kg DC motor, so that the total load can be under of 36.4kg.

Analisis Performa Bluetooth pada Sistem Alarm Pengingat Barang yang Tertinggal dengan Smartphone Android

Someone sometimes forgets to put their belongings so that they leave them somewhere, it will pose a risk of losing their belongings. To solve this problem, a reminder is needed so that it is expected to minimize the risk of loss. This device implements point-to-point communication from the Bluetooth Low Energy AT-09 transmitter module with Arduino Nano and the receiver module with an Android smartphone. This reminder device will activate an alarm on the Android smartphone application when the two modules are more than 5 meters away. The measured distance is converted from the Received Signal Strength Indicator (RSSI) value received by the smartphone which is affected by obstructions, packet loss, and delay. Based on the test results, at a distance of 5 meters, the system can be connected and work properly, in unobstructed conditions (Line of Sight) or obstructed conditions (Non-Line of Sight). In the blocked condition, it has a packet loss of 1.1% to 4.4%, the received signal strength (RSSI) has decreased the value to a difference of -8 dBm, and the delay time is 2 seconds.

Aplikasi Monitoring Tamu Pada Sistem Keamanan Perumahan Komplek Berbasis Android

There are so many cases that occur at home when the house is empty or being abandoned by its occupants, the impact of the theft is very detrimental to victims who have broken into their homes, these incidents often occur by damaging or breaking into the lock system on the doors and windows of the house. This theft causes unrest in the community because they feel less calm, safe, and comfortable when outside the home. In this study, an application was designed to make it easier to control the house with the use of IoT in creating an android-based information system that was applied to assist security guards in monitoring guests in real time. In this study, the information system used is facial recognition, where if there is a face that is not recognized or dangerous, the system will send a face image to the security guard android smartphone application.

BUSCA DE PALAVRAS CHAVE EM IMAGENS DE LIVROS IMPRESSOS USANDO VISÃO COMPUTACIONAL

With the increasingly frequent use of books in digital format, people search for the desired subjects in a faster way compared to the search in physical books. This work aimed to develop a computational resource in the form of an application for Android smartphones, which, based on an image captured from a page in a book, performs searches by keywords. The purpose of using the application is to help the reader to find the desired information quickly. We use Computer Vision techniques with the aid of the OpenCV library in the development of algorithms to perform segmentation, correction of the perspective of the book page image, identification and rectification of the wavy lines, recognition and character classification. The results shown were promising with a hit rate of over 88%.

Integrating a spoken dialogue system, nursing records, and activity data collection based on smartphones

Background and Objective: This study describes the integration of a spoken dialogue system and nursing records on an Android smartphone application intending to help nurses reduce documentation time and improve the overall experience of a healthcare setting. The application also incorporates with collecting personal sensor data and activity labels for activity recognition. Methods: We developed a joint model based on a bidirectional long-short term memory and conditional random fields (Bi-LSTM-CRF) to identify user intention and extract record details from user utterances. Then, we transformed unstructured data into record inputs on the smartphone application. Results: The joint model achieved the highest F1-score at 96.79%. Moreover, we conducted an experiment to demonstrate the proposed model’s capability and feasibility in recording in realistic settings. Our preliminary evaluation results indicate that when using the dialogue-based, we could increase the percentage of documentation speed to 58.13% compared to the traditional keyboard-based. Conclusions: Based on our findings, we highlight critical and promising future research directions regarding the design of the efficient spoken dialogue system and nursing records.

An inkjet-printed smartphone-supported electrochemical biosensor system for reagentless point-of-care analyte detection

In this work, we developed an inkjet-printed electrochemical enzyme-based biosensor system which can work with the smartphone for the point-of-care analyte detection. Inkjet printing technique was applied to functionalize electrodes. Multi-walled carbon nanotubes were used as the enzyme carrier to enhance the enzyme loading. Enzyme immobilization was realized through layer-by-layer printing strategy by crosslinking ink components (BSA and glutaraldehyde) between printing layers. Reagents for the enzyme catalyzed reaction were preloaded onto the working electrode to eliminate the use of traditional electrochemical cell. In addition, a versatile smartphone Android application was developed for real-time data processing on multiple occasions. Phosphate in the artificial saliva was measured to demonstrate the feasibility of the proposed biosensor system. The miniaturized biosensor system presents a wide linear range with rapid response time (less than 10 s). High selectivity and stability of the sensor demonstrate its practical use for saliva test. The proposed biosensor system can be applicable for various analyte detection by exchanging the sensing elements and reagents. And the biosensor system can be easily operated by users without specific training. In all, this study demonstrated a novel fabrication strategy of integrated biosensor system which has great potentiality for point-of-care applications. Our proposed sensor system demonstrates a reliable and reproducible biosensor fabrication route that has meaningful reference for similar point-of-care biosensor systems.

Performance Evaluation of River Water Quality Monitoring Using Lora Connectivity with Fuzzy Algorithm

This study was proposed a river water quality monitoring application, connected by sensors such as pH, turbidity and Total Dissolved Solids (TDS) sensor to measure acidity, turbidity levels and amount of dissolved solids, respectively, as well as reduce bad effect of polluted river water. This river water quality monitoring tool was able to process input data from sensors using fuzzy algorithms and determine whether the river water quality is good or not. LoRa functions as data transmission communication and Antares as a cloud service to store data obtained from sensors. Furthermore, data obtained was displayed in the Smartphone Android application. The rivers that were tested are located in Citarum river sector 6 and 21. The results showed that the accuracy of the temperature, TDS and pH sensor were 98.69%, 89.69% and 99.39%, respectively. Furthermore, the average value of RSSI Citarum sector 6 and 21 were -111,576 dB and -112,855 dB, respectively. Meanwhile The average SNR of Sector 6 was -6,46 dB and Citarum sector 21 was -12,85851 dB.

SleepPos App: An Automated Smartphone Application for Angle Based High Resolution Sleep Position Monitoring and Treatment.

Poor sleep quality or disturbed sleep is associated with multiple health conditions. Sleep position affects the severity and occurrence of these complications, and positional therapy is one of the less invasive treatments to deal with them. Sleep positions can be self-reported, which is unreliable, or determined by using specific devices, such as polysomnography, polygraphy or cameras, that can be expensive and difficult to employ at home. The aim of this study is to determine how smartphones could be used to monitor and treat sleep position at home. We divided our research into three tasks: (1) develop an Android smartphone application (‘SleepPos’ app) which monitors angle-based high-resolution sleep position and allows to simultaneously apply positional treatment; (2) test the smartphone application at home coupled with a pulse oximeter; and (3) explore the potential of this tool to detect the positional occurrence of desaturation events. The results show how the ‘SleepPos’ app successfully determined the sleep position and revealed positional patterns of occurrence of desaturation events. The ‘SleepPos’ app also succeeded in applying positional therapy and preventing the subjects from sleeping in the supine sleep position. This study demonstrates how smartphones are capable of reliably monitoring high-resolution sleep position and provide useful clinical information about the positional occurrence of desaturation events.

Mobile-based oral cancer classification for point-of-care screening.

.Significance: Oral cancer is among the most common cancers globally, especially in low- and middle-income countries. Early detection is the most effective way to reduce the mortality rate. Deep learning-based cancer image classification models usually need to be hosted on a computing server. However, internet connection is unreliable for screening in low-resource settings.Aim: To develop a mobile-based dual-mode image classification method and customized Android application for point-of-care oral cancer detection.Approach: The dataset used in our study was captured among 5025 patients with our customized dual-modality mobile oral screening devices. We trained an efficient network MobileNet with focal loss and converted the model into TensorFlow Lite format. The finalized lite format model is and ideal for smartphone platform operation. We have developed an Android smartphone application in an easy-to-use format that implements the mobile-based dual-modality image classification approach to distinguish oral potentially malignant and malignant images from normal/benign images.Results: We investigated the accuracy and running speed on a cost-effective smartphone computing platform. It takes to process one image pair with the Moto G5 Android smartphone. We tested the proposed method on a standalone dataset and achieved 81% accuracy for distinguishing normal/benign lesions from clinically suspicious lesions, using a gold standard of clinical impression based on the review of images by oral specialists.Conclusions: Our study demonstrates the effectiveness of a mobile-based approach for oral cancer screening in low-resource settings.

Door Automation System based on Speech Command Pin using Android Smartphone

The growth of technology make smartphone can control the home appliances. An automated device can work more flexible and efficient, including the use in unlocking door. For busy family or busy people, it is not easy to get out of the seat only to reach the door for unlocking people that already have known and made appointment before. The design of proposed method is based on Android smartphone application, Bluetooth module and Android smartphone application is used for serial communication to the Bluetooth module which is connected in controller to unlock the door. Besides it has low cost, Bluetooth based wireless home automation system can be easily implemented in the home. The suggested system is tested and it gives the expected system with more feature as authentication, either with speech command or with pin. Speech command enacted to the system is also tested the Bluetooth connectivity.

Desenvolvimento de estratégias de realidade aumentada e virtual para o tratamento de Aracnofobia / Development of augmented and virtual reality strategies for the treatment of Aracnophobia

This article aims to present a Virtual Reality (VR) application for Android smartphones as a method of helping in the treatment of a specific phobia, arachnophobia. The application has an immersive virtual environment that, through the use of VR glasses, allows the phobic patient the gradual contact with virtual spiders in an interactive and non-invasive way.

Development and effectiveness of mobile learning teaching materials to increase students’ creative thinking skills

This study aims to develop mobile learning (m-learning) teaching materials on straight-line equations and analyze its effectiveness in increasing junior high school students’ creative thinking skills. The method used is the R&D developed by Alessi and Trollip. The stages of this research include planning, design, and development. The planning stage includes determining the scope, identifying existing teaching materials and student characteristics, and collecting references. The design stage includes analysis of the material concept, making flowcharts and storyboards of teaching materials. The development stage includes preparing teaching materials through expert validation and two trials, making mobile learning applications, and evaluating teaching materials to analyze their effectiveness. The teaching materials were evaluated by material, and media experts then tested on 30 students. The m-learning teaching material developed is an Android smartphone application that students can use as a support source for learning mathematics. This study’s subjects were all class VIII Yastrib Junior High School students, as many as 30 people. The results showed that the m-learning teaching materials on straight line equations developed were feasible to use. Their effectiveness in developing creative thinking skills in the learning process was considered adequate for students with an effect size value of 2.51, which was in the very high category.

Evaluating the Impact of Design Pattern Usage on Energy Consumption of Applications for Mobile Platform

Abstract Energy efficiency in mobile computing is really an important issue these days. Owing to the popularity and prevalence of Android operating system among the people, a great number of Android smartphone applications have been developed and proliferated by the software developers. While developing these applications, developers have to keep energy consumption factor in mind, as the efficiency of an application is largely affected by it. Thus, designers and programmers endeavour to choose the best designing approaches to develop energy-efficient applications. It is imperative to assist the programmers in choosing appropriate techniques and strategies to manage power consumption. In the present research, we have investigated the effect of Android application design on its energy utilisation. For this purpose, we have practically implemented design patterns on two Android applications and evaluated their energy consumption before and after implementing these patterns. We have modelled the high-level design of these two Android applications by using software design patterns in such a way as to abate their energy requirement. We have also checked how the quality, maintainability, and efficiency of code are affected by these design patterns. The outcomes of the research can facilitate programmers to utilise these details while developing energy efficient solutions.

Development of a Mobile App-Based Self-care Health Diary for Heart Transplant Recipients: A Pilot Study.

Self-care is an essential concept in health maintenance for patients with heart problems. Mobile applications have received significant attention for their efficacy in facilitating lifestyle management. This study aimed to develop a practical mobile application for Android smartphones to aid in the self-care of heart transplant recipients. Development followed the five stages of the ADDIE model (analysis, design, development, implementation, and evaluation). The developed self-care health diary application provides users with a detailed guide to information and behaviors necessary for self-care through two main components: "Health information" and "Health diary." We conducted a 5-day pilot test with six subject experts and four heart transplant recipients. The participants were unanimously satisfied with the application's content, but experienced difficulty with its functionality, such as screen display and button operation. The feedback was used to revise and update the application, leading to the development of the final version. This study and application significantly contribute to the creation of a sustainable healthcare environment for the growing number of heart transplant recipients by enabling them to perform daily self-care. In future, education and promotion are required for encouraging heart transplant recipients to use the application regularly and proactively.

GEORGE®: A Pilot Study of a Smartphone Application for Huntington's Disease.

Current Huntington's disease (HD) measures are limited to subjective, episodic assessments conducted in clinic. Smartphones can enable the collection of objective, real-world data but their use has not been extensively evaluated in HD. Develop and evaluate a smartphone application to assess feasibility of use and key features of HD in clinic and at home. We developed GEORGE®, an Android smartphone application for HD which assesses voice, chorea, balance, gait, and finger tapping speed. We then conducted an observational pilot study of individuals with manifest HD, prodromal HD, and without a movement disorder. In clinic, participants performed standard clinical assessments and a battery of active tasks in GEORGE. At home, participants were instructed to complete the activities thrice daily for one month. Sensor data were used to measure chorea, tap rate, and step count. Audio data was not analyzed. Twenty-three participants (8 manifest HD, 5 prodromal HD, 10 controls) enrolled, and all but one completed the study. On average, participants used the application 2.1 times daily. We observed a significant difference in chorea score (HD: 19.5; prodromal HD: 4.5, p = 0.007; controls: 4.3, p = 0.001) and tap rate (HD: 2.5 taps/s; prodromal HD: 8.9 taps/s, p = 0.001; controls: 8.1 taps/s, p = 0.001) between individuals with and without manifest HD. Tap rate correlated strongly with the traditional UHDRS finger tapping score (left hand: r = -0.82, p = 0.022; right hand: r = -0.79, p = 0.03). GEORGE is an acceptable and effective tool to differentiate individuals with and without manifest HD and measure key disease features. Refinement of the application's interface and activities will improve its usability and sensitivity and, ideally, make it useful for clinical care and research.

Measuring Body Temperature Based Internet of Things (IoT) Using Esp8266 and Firebase

Measuring the body temperature can be the basis for determining the health level of a person which increasing the body temperature can also be a reference to find out whether a person infection early symptoms of a disease, both fever and cases as currently occurring, namely as an indicator of determining whether someone is indicated to be infected with the Covid 19 virus, which is currently a pandemic in the various countries. Initially, measurement the body temperature was carried out massively using the body temperature measuring device circulating in the community using a thermometer that was already standardized by SNI, wherein the measurement process like this some obstacles or problems occur, which the officer being infected the risk by virus covid19 and will cause increasing in the cases. In this study, a tool was made to measure human body temperature based on the internet of things technology, which then the measurement data will be sent to an Android smartphone application based monitoring via the internet. This tool uses the MLX-90614 sensor device [1] to detect temperature, after that the data will be processed by Nodemcu ESP8266 and stored on the Firebase server before the data will sent to the user's monitor. The measurement result data will be displayed with the android application and if the temperature data exceeds the normal limit or> 37.50C, the system will send a sound signal alarm via a buzzer. The results of this study can achieve an accuracy level of about 95% from value of data the measuring temperature using device standards SNI and data display to the application monitoring need about 3 seconds.

L-PECS: Application for Inclusive Work Environments

Abstract Children with ASD may show permanent communication problems due to a decline in the effectiveness of persistence of the information transacted. L-PECS is an application for Android smartphones that uses an alternative language called PECS, based on image exchange. L-PECS allows to improve the persistence of information in work contexts, generating effective communicational instances, task follow-up, and supporting the labor insertion of people with ASD. This work performed user interface tests, user action tests, usability, and accessibility tests on 20 users operating L-PECS to define and show possible behaviors. L-PECS can encourage the hiring of people with ASD.

A Survey on Digital Certificates Approaches for the COVID-19 Pandemic

Digital COVID-19 certificates serve as reliable proof that an individual was vaccinated, tested negative, or healed from COVID-19, facilitating health, occupational, educational, and travel activities during the pandemic. This paper contributes the first to our knowledge state-of-the-art and holistic review of this ecosystem, attempting to answer the following questions: 1) is there a harmonization among academia, organizations, and governments in terms of the certificate deployment technology?; 2) what is the proliferation of such schemes worldwide and how similar are they?; 3) are smartphone applications that accompany such schemes privacy-preserving from an end-user’s perspective? To respond to these questions, a four-tier approach is followed: (a) we scrutinize the so far academic works suggesting some type of digital certificate, highlighting common characteristics and weaknesses; (b) we constructively report on the different initiatives proposed by organizations or alliances; (c) we briefly review 54 country initiatives around the globe; and (d) we analyze both statically and dynamically all official Android smartphone applications offered for such certificates to reveal possible hiccups affecting the security or privacy of the end-user. From a bird’s eye view, the great majority of the proposed or developed schemes follow either the blockchain model or the asymmetric cryptosystem, the spread of schemes especially in Europe and partly in Asia is high, some degree of distinctiveness among the relevant schemes developed by countries does exist, and there are substantial variations regarding the privacy level of the applications between Europe on the one hand and Asia and America on the other.

The reliability and reproducibility of an Android cephalometric smartphone application in comparison with the conventional method.

To assess the reliability and reproducibility of linear and angular measurements of the cephalometric smartphone Android application OneCeph in comparison with the conventional method. A total number of 22 landmarks were registered, and 26 skeletal and dental cephalometric parameters were measured on 30 pretreatment cephalograms. The measurements for both digital (OneCeph) and conventional tracings were performed twice with a 4-week interval. The reliability (intraexaminer error) was evaluated by using the Pearson correlation coefficient. The variation in measurements between the tracing techniques (reproducibility) was determined by paired t-test. The Pearson correlation coefficients of all cephalometric measurements for each tracing technique were ≥ 0.95. Significant differences between the two tracing techniques were detected in five measurements (SNB angle, N I to Pog linear measurement, U1-Apoint linear measurement, U lip to S line, and nasiolabial angle; P < .05). Using 26 measurements to compare both tracing methods, all mean differences between the digital (OneCeph) and conventional methods were below 1 degree/1 mm, indicating that differences between the tracing methods were clinically insignificant. The U1-A point measurement was an exception for the digital method (OneCeph) with a clinically significant difference of 1.25 mm (P < .01); the difference was a result of wrongly measuring the distance from the A line to the incisor edge of the upper central incisor rather than the facial surface of the upper incisor. This leads to the conclusion that both tracing methods were reliable for daily clinical practice.