Android Apps Research Articles

Fire Fighting Robot with Human Detection and Audio Recognition

This paper presents innovative approaches to firefighting robots, addressing critical challenges in fire safety. CeaseFire, equipped with water and CO2 sprays, ensures real-time operations prioritizing human safety, offering user-friendly handling and extended control range. The DaNI(sbRIO)-powered robot excels in rapid fire detection and extinguishing, providing a reliable solution for hazardous situations. In parallel, the YOLOv4-tiny implemented on a limited hardware robot enhances accuracy in victim rescue during firefighting missions. The Arduino UNO-based mini fire-fighting robot autonomously detects and extinguishes fires, minimizing risks to firefighters and incorporating user intervention through an Android app. Additionally, a modular robot employs computer vision, temperature, and UV-TRON sensors for enhanced fire detection, pathfinding, and extinguishing, promising a significant advancement in autonomous firefighting technology. AFDER, an Autonomous Fire Detecting and Extinguishing Robot, integrates robotics, computer vision, and firefighting tech, autonomously navigating with lidar-based mapping and obstacle avoidance. With precise fire detection and targeted extinguishing capabilities, AFDER reduces human intervention, proving adaptable to diverse environments. Collectively, these advancements showcase the potential to revolutionize firefighting, safeguard lives, and address the complex challenges posed by fire emergencies.

Development of ISBAR-Based Anesthesia Unit Handover Instrument with Android Apps Against Completeness Pre and Post Anesthesia Documentation in the Installation Central Surgery

The completeness of anesthesia records both electronically and handwritten is an important measure of information during perioperatives, as well as a legal document against anesthesia providers.The development of a handover instrument model with an android application with Kopelman model theory is needed in order to create an effective handover in the policy of supporting infrastructure and the implementation of anesthesia as an evaluation of the completeness of anesthesia documentation. This study aims to develop an ISBAR instrument with an android application as a guide for the handover of the anesthesia unit at the Central Surgical Installation of RSUD Haji Surabaya. Method: Research design using Research and Development (R&D). The independent variable is the development of ISBAR-based handover instruments, and the dependent variable taken is the completeness of pre- and post-anesthesia documentation. The population was taken as many as 34 nurse anesthetists and 100 pre and post anesthesia documentation, sampling using purposive sampling. The instruments used are questionnaires and observation sheetsResults: The trial of the anesthesia handover using the ISBAR instrument on the android application using the SUS questionnaire obtained 85 results meaning acceptable. Analysis: In stage 1 using descriptive analysis to determine the frequency of data, while in stage 2 using descriptive analysis presented in percentage to show the presentation of application test feasibility results. Conclusions: The development of ISBAR handover instruments with andorrid applications is suitable for use during operational services with Acceptability Ranges conditions that are acceptable. Grade Scale includes B. Adjective Rating: Worst Imaginable results are Excellent and Percentiles results are good.

App Crafting for An Educational Institution

In the modern world, internet tools like Google Classroom, Gmail, Google Forms, WhatsApp, and others have become more and more important for teacher-student communication and information exchange. We created an app that works with all platforms, including tablets, computers, and mobile phones, to meet the various needs of educational institutions. All devices are easily supported by the Android app for websites optimized for mobile and tablets. This app satisfies all of the standards of the school by offering extensive information on attendance, exam schedules, lecture notes, cost data, event notifications, and online assessments. The newest technologies, such as Flutter and Dart with Firebase integration, were used in the development of this application. We also developed a desktop-friendly web application. Both the app and this website are linked to the same

Enhancing Microbial Fuel Cell Performance Prediction and IoT Integration Using Machine Learning and Renewable Energy

This study aims to enhance Microbial Fuel Cells (MFCs) reliability for remote environmental monitoring, emphasizing unexplored facets of accurate energy prediction and the integration of renewable energy-powered Internet of Things (IoT) devices. Following comprehensive research, design, and component procurement, an innovative and cost-effective IoT system was developed, leveraging renewable energy from MFCs. Using an Arduino UNO-WiFi, data was collected and showcased on a web page while logged in a Google Firebase database, with an Android app created for intuitive smartphone visualization. Over four months, sensor data was accumulated. An Artificial Intelligence (AI) model, employing Autoregressive Integrated Moving Average (ARIMA), precisely forecasted MFC energy production (RMSE: 0.0119 and 0.0113 for trials 1 and 2). Despite the initial energy production surge, a subsequent decline occurred due to organic matter depletion. This prototype represents an affordable and sustainable solution for cloud-based IoT environmental monitoring with AI-driven energy forecasts, embodying innovation in renewable energy applications and sustainable practices.

Gesture-Based Interactions: Integrating Accelerometer and Gyroscope Sensors in the Use of Mobile Apps

This study investigates the feasibility and functionality of accelerometer and gyroscope sensors for gesture-based interactions in mobile app user experience. The core of this innovative approach lies in introducing a dynamic and intuitive user interaction model with the device sensors. The Android app developed for this purpose has been created for its use in controlled experiments. Methodologically, it was created as a stand-alone tool to both capture quantitative (time, automatically captured) and qualitative (behavior, collected with post-task questionnaires) variables. The app’s setting features a set of modules with two levels each (randomized presentation applied, minimizing potential learning effects), allowing users to interact with both sensor-based and traditional touch-based scenarios. Preliminary results with 22 participants reveal that tasks involving sensor-based interactions tend to take longer to complete when compared to the traditional ones. Remarkably, many participants rated sensor-based interactions as a better option than touch-based interactions, as seen in the post-task questionnaires. This apparent discrepancy between objective completion times and subjective user perceptions requires a future in-depth exploration of factors influencing user experiences, including potential learning curves, cognitive load, and task complexity. This study contributes to the evolving landscape of mobile app user experience, emphasizing the benefits of considering the integration of device sensors (and gesture-based interactions) in common mobile usage.

Wireless Controlled Hexa Wheel Robot based on HC-05 Technology

Robotics is the interdisciplinary branch of engineering and science that includes mechanical engineering, electrical engineering, computer science, and others. Robotics deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing. In this digital age, Robotics represents a transformative shift. As you are all aware, Robotics is utilized extensively in the manufacturing, research laboratories, traffic management, search initiatives, and defence activities. These have streamlined human employees' tasks which was previously performed by humans. Now a days smart phones or android is an open-source operating system which means that any manufacturer on use it in their phones free of charge. More properties make the Android system very applicable for university use: Android uses the Java programming language, which our students are familiar with. Getting started with the Android API is easy; the API is open, i.e. developers can access almost every low-level function and are not sandboxed. In addition, the Android API allows easy access to the hardware components. In the working principle of Robot is based on RF (Radio Frequency) emitted by Bluetooth can be regarded as the control which deals with the use of radio signal to remotely control any device or Robot. Based on all these information we have design and developed a Six Wheel Robotics Module using HC-05 Technology. Keywords:- Robot, HC-05, Arduino uno, Driver, Ultrasonic.

Android App for People with IDD to Report Abuse

Abuse is a significant concern within the Intellectual and Developmental Disabilities (IDD) community, often accompanied by communication challenges and vulnerability. Our project, the "Speak Up IDD" Android application, is designed to empower and safeguard individuals with IDD by offering a platform to educating them, reporting abuse and seek assistance. This innovative app addresses the urgent issue of abuse within the IDD community. "Speak Up IDD" focuses on providing individuals with IDD a means to express their concerns, ensuring their safety and well-being. The app features a user-friendly interface that caters to varying communication abilities. It offers diverse reporting options, including text-to-speech capabilities, symbol-based communication boards, and voice recognition, ensuring accessibility for users with diverse communication needs. The central function of the app revolves around abuse reporting. Users can confidentially report instances of abuse, whether physical, emotional, or neglect, through a secure and private channel. The app guides users through the reporting process, providing prompts and assistance while safeguarding their anonymity and protection. To further support users, "Speak Up IDD" includes real-time alerts and notifications that can be sent to designated contacts, such as caregivers, family members, or support organizations, ensuring swift responses to reported incidents. The "Speak Up IDD" app is more than just a reporting tool; it is a lifeline for those in the IDD community who are at risk of abuse. Its mission is to create a safer environment, raise awareness, and ensure that no individual with IDD suffers in silence. By providing them with the means to speak up, we aim to empower individuals with IDD, protect their rights, and foster a more supportive and secure community for all

A Quantitative Analysis of Patient-Facing Technologies for Patient Self-Reporting.

Dramatic improvements in patient-facing technologies have demonstrated the potential to transform healthcare delivery for a 360-degree holistic view of care. A key question regarding how such technologies affect patient self-reporting still needs to be answered. This study presents the technologies and their associated key variables via quantitative analysis. Associations were found between single-platform and web-based applications (apps), Android apps and physician view, mental health disease, and user feedback. The results are intended to inform future design, development, and evaluation of patient-facing technologies. More systematic, theory-driven, framework-based design and evaluation are necessary to fully characterize the effectiveness and maintenance of patient-facing technologies toward a sustainable strategy.

1986 Hypoglycaemia in older people with diabetes and symptoms suggestive of hypoglycaemia - continuous glucose monitoring (CGM) study

Abstract Introduction Older people with diabetes are often admitted with falls, dizziness or confusion that may stem from undiagnosed episodes of hypoglycaemia. We examined the use of a 10-day period of round the clock glucose monitoring (CGM), to detect hypoglycaemia in older people with diabetes with symptoms potentially related to hypoglycaemia. Methods Population: Age 75 years and older, on sulfonylureas and/or insulin, presenting to hospital with a fall and/or symptoms suggestive of unrecognised hypoglycaemia. Design Single-centre, observational study (no change to standard diabetes care). Intervention: 10 days of CGM with Dexcom G6 sensor and Android app on smartphone to continuously transmit data. Primary outcomes Proportion of participants with captured hypoglycaemia; within that group, time spent in the hypoglycaemic range (Battelino T, Danne T, Biester T, et al. Diabetes Care. 2019;42(8):1593-603.). Secondary outcomes Overall time in range; emergency department re-attendances and/or hospital re-admissions for falls, fractures, heart attacks, ischaemic strokes and death within 30 days. REC IRAS project ID: 301286. Results 26 eligible participants of which 13 consented to participate. At the time of writing, nine participants (mean age 81 years) completed the study. There were no reports of pain or skin reactions from the participants. Hypoglycaemic events were captured in 3 of 9 participants, with two participants suffering >1 hour below 3.9mmol/L. Only 3 participants achieved >50% time in range target (3.9-10.0mmol/L). Discussion We have detected significant hypoglycaemic episodes in our participants. CGM should be used more widely in older patients with diabetes who present with falls, dizziness or confusion. Limitations include issues around data capture due to participants struggling to navigate the mobile phone app. Despite this, all participants felt that CGM was better than finger-prick glucose testing. Future work is needed to explore how CGM can be deployed after acute admissions in this patient group.

E-Waste in the Digital Age: Evaluating Android Apps as Catalysts for Responsible Management

E-Waste in the Digital Age: Evaluating Android Apps as Catalysts for Responsible Management

An efficient security testing mechanism for Android Apps based on malware analysis and optimized XGBoost

An efficient security testing mechanism for Android Apps based on malware analysis and optimized XGBoost

Pemberdayaan Kelompok Tani Unggas Jaya Melalui Teknologi Monitoring Gas Amonia Dan Suhu Kandang Otomatis Berbasis IoT

The Poultry Jaya farmer group is in the city of Kefamenanu, the native chicken farming system of the Jaya Poultry Group is still conventional. One of the main problems faced by this group is the lack of monitoring and controlling the temperature of the cage as well as monitoring the ammonia gas produced by chicken droppings. Temperature and ammonia gas levels have a major impact on chicken growth and health. To overcome this problem, it is necessary to implement Internet of Things (IoT) technology integrated with Android applications. This technology allows automatic and periodic monitoring of cage temperature and ammonia gas levels. Farmers can access information via the Android app and take necessary action if significant changes occur. This community service aims to build tools and systems for automatic temperature control and IoT-based ammonia levels integrated with Android, as well as introducing technology and providing training and assistance to the Unggas Jaya farmer group regarding IoT technology in chicken coop management. With the existence of IoT technology, it is hoped that the behavior patterns of farmers will change to become more modern and efficient. This technology can help improve poultry farming performance, reduce risks, and provide convenience in cage management so that it will bring positive changes to the productivity and welfare of farmers. Keywords: Poultry Jaya farmer group; chicken coop; Internet of Things (IoT)

Tree Plantation Management in Agriculture Sector

Mahogany stands as a valuable hardwood species with significant ecological and commercial importance. The Mahogany Agro Management system aims to streamline agricultural processes through an integrated platform. This project endeavors to address the imperative for advanced Agro-management practices through the development of an Android app integrated with satellite technology. The app accommodates diverse user roles, ranging from Super Admins to Farmers, and incorporates essential CRUD functionalities. Our primary objectives include optimizing Mahogany tree growth conditions, leveraging real-time satellite data for insights, fostering collaboration among stakeholders, and promoting sustainability in cultivation. The study emphasizes transparency, innovation, and long-term impact. Through a detailed examination of methodologies and results, this project aims to contribute valuable insights to the field of Agroforestry, advocating for the enduring sustainability of Mahogany cultivation. Key Words Integrated Agro Management, Precision Farming, Communication Tools, Agricultural Technology, Soil Testing, Sustainable Agriculture, Nursery Operations, Agronomist Support, Flutter Framework, MySQL Database

Explainable Machine Learning for Malware Detection on Android Applications

The presence of malicious software (malware), for example, in Android applications (apps), has harmful or irreparable consequences to the user and/or the device. Despite the protections app stores provide to avoid malware, it keeps growing in sophistication and diffusion. In this paper, we explore the use of machine learning (ML) techniques to detect malware in Android apps. The focus is on the study of different data pre-processing, dimensionality reduction, and classification techniques, assessing the generalization ability of the learned models using public domain datasets and specifically developed apps. We find that the classifiers that achieve better performance for this task are support vector machines (SVM) and random forests (RF). We emphasize the use of feature selection (FS) techniques to reduce the data dimensionality and to identify the most relevant features in Android malware classification, leading to explainability on this task. Our approach can identify the most relevant features to classify an app as malware. Namely, we conclude that permissions play a prominent role in Android malware detection. The proposed approach reduces the data dimensionality while achieving high accuracy in identifying malware in Android apps.

Sharing is Not Always Caring: Delving Into Personal Data Transfer Compliance in Android Apps

Sharing is Not Always Caring: Delving Into Personal Data Transfer Compliance in Android Apps

EV BATTERY COOLING SYSTEM

An expanding subject in the automotive and electrical industries is battery monitoring systems for electric cars. There hasn't been a mechanism in place in India for extensive battery monitoring. It is still a personal endeavor rather than a large-scale application. Aside from this, there are other approaches that rent the batteries to the user directly and depend only on the user's prompt payment done in person. An automatic system that supports a rechargeable battery is called a battery supervision scheme. It may do this by protecting the battery from using outside of its safe operating range, keeping an eye on its condition, scheming to obtain inaccurate statistics, providing commentary on the data, keeping an eye on its circumstances, and/or verifying or enhancing it. Additionally, the BMS will command the battery to be revived by reintroducing the enhanced energy into the battery pack. It is only used for handling battery charging and discharging during rummage sales. Our suggested approach allows the monitoring structure, which can manage, monitor, and record data to an online database, to be coupled with the battery management system. The voltage, current, temperature, power, and state of charge of the battery are all monitored by this system. The user may then see these parameters using an Android app once they have been sent and saved in a database over the internet. When a database has a large enough amount of data, clever machine learning algorithms may be used to forecast the battery's life cycle and provide recommendations to the user about the battery's condition, the length of each charge cycle, and many other topics. When battery rental firms apply this policy, the battery may only be charged when the renter pays on time.

“You Received $100,000 From Johnny”: A Mixed-Methods Study on Push Notification Security and Privacy in Android Apps

“You Received $100,000 From Johnny”: A Mixed-Methods Study on Push Notification Security and Privacy in Android Apps

Camguard: Preventing unauthorised camera access for women’s saftey

Online harassment is a serious problem that can have significant negative impacts on the mental health and well-being of its victims. To address this issue, an Android app has been developed that is accessible to a wide range of users worldwide. The app is built on a script backend process, providing a stable and efficient environment for data management and request processing. The app's API is integrated into the script backend process, ensuring seamless and efficient operation.During the installation process, the app requires users to go through a verification process that includes providing their Google Account, mobile number, and an OTP. This ensures that only legitimate users have access to the app's features and functions. The app also requires users to create a strong master password, which is directly connected to the Google bot, enhancing its security. Biometrics are recommended to protect the master password, ensuring that only authorized users can access their data.The app's security measures are crucial in ensuring the privacy and protection of user data. The use of biometrics and direct connection to the Google bot enhances security, and the app's API provides access to relevant information and enhances the user experience. Users can change their password securely, ensuring that only authorized users can access their data.Overall, the app is a reliable and efficient solution for managing and protecting user data. Its compatibility with a wide range of devices and seamless integration of API make it accessible to a large percentage of Android users worldwide. The app's verification process, use of biometrics, and direct connection to the Google bot enhance its security, ensuring that only authorized users have access to the app's functionalities. The development of this app is a critical step in addressing the issue of online harassment and protecting the privacy and well-being of its users.

Multi-Media Field Test: Cognitive-Behavioral Therapy at Our Fingertips: Sanvello Provides On-Demand Support for Mental Health

Sanvello is a cognitive-behavioral therapy (CBT) app available as a web platform and a native app for both Android and iOS. Sanvello can be used for free, with additional premium content available in a paid version. It is targeted for adults with mild to moderate symptoms of depression, anxiety, and stress and has a solid evidence base to support its efficacy. Sanvello is user-friendly and intuitive, with good user experience and appropriate privacy and data security measures. Sanvello’s free version consists mainly of self-care and peer support content, allowing users to engage with tools such as in-app activities personalized through initial user assessments, and community pages. A paid version provides additional content through a subscription model and coaching available for a monthly fee. Professional support is available either through insurance coverage of a pay-per-appointment model. Despite a solid evidence base, various features, and a library of content, identified areas of improvement include expanding the psychoeducation materials and articles to include more timely resources and the diversity of its potential users. For these reasons, we have rated Sanvello with a 5 in utility, and ease of use/overall appeal along with a 4 in appropriateness of content and research evidence. Overall, Sanvello provides a variety of evidence-based cognitive and behavioral skills and, for those with the paid version, the opportunity to connect with professionals for additional support.

A Scalable Malware Detection Approach through Significant Permission Identification for Android Devices

The global ubiquity of smartphones has led to the availability of many free apps for gaming, communication, financial, and educational needs. However, hazardous malicious software targeting smartphones has increased as the global adoption of these devices has grown. Malware is growing rapidly, with reports predicting a new Android app every 10 seconds, threatening the mobile ecosystem. Due to Android's versatility, users can install apps from third-party app shops and file-sharing websites, compounding malware outbreaks. The seriousness of this situation requires scalable malware detection. Based on permission usage analysis, this project introduces Significant Permission Identification (SigPID), a novel malware detection technique. SigPID uses a three-tiered permission pruning mechanism to discover the most important permissions for distinguishing benign from malicious apps, unlike standard methods that scan all Android permissions. The system first uses the Random Forest method for machine learning classifications. The study reduces non-sensitive permissions by identifying benign and harmful permission lists. Support Vector Machine classification, K-Nearest Neighbor, and Linear Regression are then used to a fresh dataset. SigPID, written in Python 3.7, is a powerful and scalable Android malware countermeasure. SigPID uses advanced machine learning and large permissions to protect the mobile ecosystem from harmful apps, making it safer and more secure.