Android Version Research Articles

TYPOLOGICAL VARIABILITY OF PSYCHOPHYSIOLOGICAL FEATURES IN SCHOOLCHILDREN FOR PROGNOSING SUCCESS IN SPORTS AND HEALTH ENHANCEMENT ACTIVITIES

Aim. The purpose of the article is to provide a clinical and physiological assessment of adaptive variability of the psychophysiological status in schoolchildren and to obtain prognostic markers for forming success during health enhancement and sports activities. Materials and methods. 187 male schoolchildren of the first and second health group from secondary educational institutions in Tyumen participated in the study. A set of clinical and physiological methods was used. Habitual physical activity (HPA) was measured on a daily basis using Huawei Band 2 Pro (China) fitness tracker provided with accelerometer and gyroscope. The band is available for both Android (version 4.4 or later) and iOS 8.0 or later, which allows registering data at any time period. The type of partial body constitution was established according to a three-component scheme and a HPA level (low HPA – FTC-1, medium HPA – FTC-2, high HPA – FTC-3). Results. Based on the concept of typological variability of physiological individuality, a systemic relationship between the indicators of anxiety, aggressiveness and depression was established in primary schoolchildren with different levels of habitual physical activity (low – LHPA, medium – MHPA, high – HHPA) and of different functional types (FTC-1, FTC-2, FTC-3). Compared with other groups, primary schoolchildren with LHPA – FTC-1 showed an increase in general anxiety and a total indicator of depression, a decrease in mood, a negative assessment of their own inefficiency, and the lowest indicator of aggressiveness with an auto-aggressive orientation. In children with HHPA, there was a decrease in the general level of depression and mood, a negative assessment of generally accepted rules, aggressive behavior, a negative assessment of their own inefficiency combined with an increased level of aggressiveness of a heteroaggressive orientation. Conclusion. Clinical and physiological characteristics of three physiological norm variants (functional constitutional types, children with low (FTC-1), medium (FTC-2) and high (FTC-3) habitual physical activity) determined the selection of psychophysiological markers of stress reactivity in primary schoolchildren, which provides an objective basis for prognostic assessment and targeted success formation in sports and health enhancement activities, as well as the creation of effective monitoring of transition states and preventive forms for correcting dysregulation.

Assessment of Mobile Health Apps Using Built-In Smartphone Sensors for Diagnosis and Treatment: Systematic Survey of Apps Listed in International Curated Health App Libraries.

BackgroundMore than a million health and well-being apps are available from the Apple and Google app stores. Some apps use built-in mobile phone sensors to generate health data. Clinicians and patients can find information regarding safe and effective mobile health (mHealth) apps in third party–curated mHealth app libraries.ObjectiveThese independent Web-based repositories guide app selection from trusted lists, but do they offer apps using ubiquitous, low-cost smartphone sensors to improve health? This study aimed to identify the types of built-in mobile phone sensors used in apps listed on curated health app libraries, the range of health conditions these apps address, and the cross-platform availability of the apps.MethodsThis systematic survey reviewed three such repositories (National Health Service Apps Library, AppScript, and MyHealthApps), assessing the availability of apps using built-in mobile phone sensors for the diagnosis or treatment of health conditions.ResultsA total of 18 such apps were identified and included in this survey, representing 1.1% (8/699) to 3% (2/76) of all apps offered by the respective libraries examined. About one-third (7/18, 39%) of the identified apps offered cross-platform Apple and Android versions, with a further 50% (9/18) only dedicated to Apple and 11% (2/18) to Android. About one-fourth (4/18, 22%) of the identified apps offered dedicated diagnostic functions, with a majority featuring therapeutic (9/18, 50%) or combined functionality (5/18, 28%). Cameras, touch screens, and microphones were the most frequently used built-in sensors. Health concerns addressed by these apps included respiratory, dermatological, neurological, and anxiety conditions.ConclusionsDiligent mHealth app library curation, medical device regulation constraints, and cross-platform differences in mobile phone sensor architectures may all contribute to the observed limited availability of mHealth apps using built-in phone sensors in curated mHealth app libraries. However, more efforts are needed to increase the number of such apps on curated lists, as they offer easily accessible low-cost options to assist people in managing clinical conditions.

Android Based Math & Trash Educational Game Using Scirra Construct 2 and Adobe Phonegap

Educational games can be used as an effective learning method, especially for children, because children can gain knowledge in a fun way. Here the game is designed for young children to practice arithmetic and knowledge to separate organic and inorganic wastes. This game is based on Android using Construct 2 software, design using UML and Game Development Life Cycle (GDLC). At the end of the manufacturing process, software tests or tests consist of unit tests, integration tests and system tests. From the test results, the game "Math & Trash" can be run on several versions of Android with a variety of different screen sizes. The educational game "Math & Trash" is expected to have a positive impact on children on the importance of math subjects and the importance of protecting the surrounding environment.

A Comprehensive Analysis of the Android Permissions System

Android is one of the most essential and highly used operating systems. Android permissions system is a core security component that offers an access-control mechanism to protect system resources and users’ privacy. As such, it has experienced continuous change over each Android release. However, previous research on the permissions system has employed static analysis techniques. Furthermore, most of these studies are outdated, covering older versions of Android. This paper aims to discuss the permissions system intensively to provide a nutshell overview of the Android platform’s access-control mechanism. The paper presents a comprehensive analysis of the Android permissions system since it was introduced in 2008 until now, accompanied by a formal model of its components. The results of the analysis reveal a continuous growth in the number of permissions since the original release—a growth of seven times in some permission categories. A case study has been conducted for the last five years’ versions of the top Android apps to examine the permissions system’s evolution and its attendant security issues from the applications’ perspective. Some apps showed an increase in permissions usage of 73.33% by the 2020 release. Additionally, the results of the case study contribute to the understanding of permissions deployment by both vendors and developers. Finally, a discussion of the permission-based security enhancements discloses that the Android permissions system faces various security issues. In general, this paper provides researchers and academics an up-to-date, comprehensive, self-contained reference study of the Android permissions system.

Forensic of an unrooted mobile device

With the people switching over to mobiles for all their computing needs, these ubiquitous devices have become huge data warehouses. In order to extract the required data, the inbuilt critical security mechanism of the device needs to be bypassed. With increased device security being implemented in latest android versions, gaining root access is a huge challenge. The research addresses the issue of getting data from smart phone without performing the rooting operation and without enabling USB debugging, which is one of the key challenges for mobile forensics. This paper proposes a mechanism to extract data by flashing team win recovery project (TWRP) on the device after unlocking the boot loader.

Prototipe Kursi Roda Elektrik Dengan Kendali Joystick Dan Smartphone

Wheelchairs are one of the walking aids for people with disabilities and also for people who are unable to move from one place to another. The purpose of this research was to build hardware and software into a wheelchair prototype that can be controlled with joysticks and smartphones and to know its performance. The method in making the final project consists of the stages of need identification, requirements analysis, system design, tool making, tool testing and data collection. Based on the testing that has been done, the results are obtained that the control input from the smartphone through the application and also the joystick produces the output of the wheelchair prototype movement according to the instructions that have been set as input. The maximum distance of the control system from the smartphone is 0-10 meters either with obstacles or without obstacles. The response of the wheelchair prototype device has an average error of 0.024. Smartphone applications that are used as controls can be installed on the latest Android version "Nougat" and 4 versions of Android below. The speed of the wheelchair prototype on the joystick control matches the value of the resistance issued by the joystick module.

Forensic of an unrooted mobile device

With the people switching over to mobiles for all their computing needs, these ubiquitous devices have become huge data warehouses. In order to extract the required data, the inbuilt critical security mechanism of the device needs to be bypassed. With increased device security being implemented in latest android versions, gaining root access is a huge challenge. The research addresses the issue of getting data from smart phone without performing the rooting operation and without enabling USB debugging, which is one of the key challenges for mobile forensics. This paper proposes a mechanism to extract data by flashing team win recovery project (TWRP) on the device after unlocking the boot loader.

Augmented Reality Applied in Astronomy Subject

Mobile augmented reality is one of the most potential technology for education. Science astronomy is one of the subject that need to develop by mobile augmented reality technology. Purpose in this research is to create mobile augmented reality based on astronomy subject in Indonesian curriculum in junior high school. Animation that has been show in this application follows Kepler’s law about planetary motion. This research is R&D research and it follow instructional design type ADDIE. This researcher collected the data qualitatively from 2 experts, 2 teachers and 2 students. Each of participant will give suggestion to improve the quality of the application. Finally the application has been made with 16 marker. 11 explain about member of solar system, 3 marker about rotation and revolution of earth and moon, and 2 marker is about solar eclipse and moon eclipse. The application size is 47 Mb with Apk format. It can be use at least in android version 4.1 jelly bean and camera 13 MP. This application is ready to use for more large participant.

The Development of Learning Mobile Application of Latin-to-Balinese Script Transliteration

Balinese script writing allegedly towards extinction. general objective of this research is to preserve this Balinese culture aspect through a technology approach. specific objective is to develop learning mobile application of Latin-To-Balinese script transliteration, as one of the innovative technology products of the Universitas Pendidikan Ganesha – Bali, and to analyze crowd feedback of that application to know the user acceptance and to obtain feedback for future improvement. This android-based application can be used as a learning media at mandatory local content subject Balinese Language in elementary and secondary schools in Province Bali since so far, it could handle the transliteration complex behaviors based on document The Balinese Alphabet with about 98% accuracy level (148 right of 151 test case). development of this application was based on Model-View-Controller design pattern and use dictionary data structure to hold special words. Crowd feedback data was obtained through Google Play Console in five months since the application release. There are more than 32 thousand installations and 152 ratings (63 ratings with reviews). Average rating score of 4.2 (from the maximum best score of 5) and positive general comments (57% from total review) reflects relatively good of the user acceptance to the application. Further improvement priority of the application based on top three feedback category, i.e. addition of: 1) copy-paste-share feature (18% of reviews total); 2) compatibility to the old version of android (5% of reviews total); and 3) character “ě” insertion feature for generating sign pepet of Aksara Bali (3% of reviews total).

RANCANG BANGUN APLIKASI MEDIA PEMBELAJARAN “BASA SAMAWA” BERBASIS ANDROID

Each region has its own regional language which is used as its identity. Besides culture, regional language also needs to be preserved in order to be known and understood by the next generation. In this case, the author conducts research to help the community in Sumbawa, especially in studying and adding insight to the language of the Sumbawa region. The activity of the authors in this research is to create an Android-based learning application "Basa Samawa" that can be used anywhere and anytime. In the application creation process, the authors use waterfall method as the development method. After the creation process is complete, testing the application using the Black Box testing method. With this application, Android users can access dictionaries in digital form which has various features such as audio-visual feature and also equipped with image as well as sample sentences. The Samawa base app can be accessed via the Play Store using the minimum Android version 4.4 (Kitkat).

APLIKASI BERBASIS MODUL OFFLINE TENTANG PENYULUHAN HUKUM KENDARAAN DAN JALAN

In order to improve public awareness in complying with regulations, required educational socialization related rules of the road and the vehicle or traffic signs or applicable vehicle standards, and the use of the internet become an information source can be avoided by use of the internet society, open source literature related laws of the road and the vehicle extensively but because the culture of reading yet sink in evenly spread the information then it is difficult. The results of the applications supported by the sophistication of the current Android, this application is expected to be able to operate in this version of Android from the earliest to the most update Android version and necessary for all the public can access it all communities, the information used by the application are derived from laws, regulations, and the Minister's decision with the source provided is clear, with the efforts of focused opinion factually that can be proved by the Government through regulations and was proven directly by looking at the original source.

MoveWithMe: Location Privacy Preservation for Smartphone Users

With the prevalence of smartphones, mobile websites have been more and more popular. However, many mobile websites collect the location information which greatly increases users’ risks of being tracked unexpectedly. The current location access control setting is not sufficient since it cannot prevent the service providers which have been granted location-access permissions from tracking the users. In this paper, we propose a novel location privacy preservation mobile app, called MoveWithMe, which automatically generates decoy queries to hide the real users’ locations and intentions when they are using location-based mobile services. Unlike the existing works on dummy trajectories which may be easily discovered by attackers through data analysis, the uniqueness of the MoveWithMe app is that our generated decoys closely behave like real humans. Each decoy in our system has its own moving patterns, daily schedules, and social behaviors, which ensures its movements to be semantically different from the real user’s trace and satisfying geographic constraints. Thus, our decoys can hardly be distinguished even by advanced data mining techniques. Another advantage of the MoveWithMe app is that it guarantees the same level of user experience without affecting the response time or introducing extra control burdens. Decoys move independently in the back end and automatically submit queries to the same service provider whenever the user does so. Our proposed MoveWithMe app has both iOS and Android versions and has been tested on different brands of smartphones against various location-based services, such as Yelp and TripAdvisor. Experimental results demonstrate its practicality, effectiveness, and efficiency.

GAME EDUKASI AKUNTANSI SEBAGAI SARANA PENINGKATAN MINAT BELAJAR SISWA (STUDI KASUS : SMK NEGERI 8 BANDAR LAMPUNG)

The learning process will be a matter of accounting requirements. The subject of accounting adjusting journal entries is a subject that is very difficult to understand for student class X because in the learning there are abstract calculation elements and do not have a formula as well as lessons that use other calculations and students feel bored with conventional learning. The purpose of this study was to design and build educational game applications as a means of increasing student learning interest.Data collection techniques in this research is to use interviews, questionnaires, and review of the literature. Sources of data / subjects are students of SMK N 8 Bandar Lampung. Methods of testing conducted on aspects ie Usability, Functionality, Efficiency, and Portability. Accounting application development educational game built using Construct 2 software that will run on android platform.The results of testing the quality of game applications obtained values from usability aspects obtained 96%, 99% aspect functionality, efficiency aspects showed no memory shortages and CPU usage by applications by 47%, and the portability aspect of the application can only be installed and run on the device with Android version of Jelly Bean and above.

Android Fragmentation in Malware Detection

Differences between Android versions affect not only application developers but also make the task of securing Android harder, as it is not easy to keep track of updates. In this paper, we first systematically analyze the Android framework, which includes APIs and enforced manifest permissions to realize the inconsistency currently exists in the OS. To carry out the analysis, fine-grained machine learning-based classifiers are constructed out of predefined malicious-benign datasets to perform the task of malware detection. We propose the use of multiple feature vectors to build machine learning-based models targeting different ranges of Android API levels. As a result, the process of choosing optimal learning features becomes more efficient while avoids complicating the machine learning model unnecessarily. Also, top features extracted from machine learning models provide us the insights about how important each of them is to specific Android versions. We eventually observe the improvement of detection rates in those fine-grained classifiers compared to a single classifier.

An automated model‐based approach for unit‐level performance test generation of mobile applications

AbstractMobile devices have limited resources, including memory and processing speed. The performance of mobile applications is an important concern. There are a large number of mobile platforms available with varying operating systems and hardware. Native applications are usually developed and maintained separately for these platforms. The overall performance of native applications may significantly vary across platforms. The current industrial practice is to manually test the performance for each variant, which is not a scalable or efficient approach. We tackled the problem of generating native application variants in our previous work. This paper proposes an automated model‐based approach for performance test generation for native application variants at unit level. We propose a performance profile that allows modeling of domain‐specific performance parameters on UML models, which are used for automated performance test generation for each native variant. The results of applying the approach on two real‐world applications show that the approach evaluates the performance of application variants for two different versions of Android successfully and have potential to reduce the effort and time. A questionnaire‐based study is conducted to evaluate the usefulness of the approach.

APLIKASI KAMUS INGGRIS – INDONESIA DENGAN FITUR SPEECH TO TEXT

the use of dictionaries is not only used manually by searching for words in the dictionary book but also digitally which facilitates the work in searching for the meaning of the word. Due to the number of dictionary applications at this time it is done in the development of dictionary applications supported speech to text features in the search he said. Making this application using SQLite database and editor of Android Studio. The use of this dictionary not only functions in searching for the meaning of words, but there is also a list of tensis that comes with text to speech. This application can make it easier to find words and know about tensis. The end result of this application has been tested with several smarthphone with different android version and the result of this application can run well. The drawback of this application is the use of speech to text features that are still online, and data that can be entered into SQLite can not be much and limited, text to speech can not explain tensis accurately.

Mobile Application for Thai & Foreign Tourists Visiting Thai Temple

This research gathered requirements from Thai and foreign tourists to successfully design Thai and English Android and IOS versions of a mobile application to provide an enhanced experience for tourists visiting the Phra Mahathat Woramahawihan (PMW) Temple in Thailand. The content and user interface were designed based on theories and related research and three experts evaluated the prototype to improve the final application versions which were evaluated at the temple by Thai and foreign tourists. Analysis of the results showed that both the Thai and foreign tourists found similar high satisfaction with the performance of the Android and IOS mobile applications. The mobile app text, pictures and voice allowed tourists to know how important each point of visit was, where to go, where the starting point was, and what were the rituals, the history and other information of each point. One main benefit for all foreign tourists was the app provided the history and other information of each point in English as only the names of each point were provided in English at the temple.

A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates.

BackgroundSmartphone diet-tracking apps may help individuals lose weight, manage chronic conditions, and understand dietary patterns; however, the usabilities and functionalities of these apps have not been well studied.ObjectiveThe aim of this study was to review the usability of current iPhone operating system (iOS) and Android diet-tracking apps, the degree to which app features align with behavior change constructs, and to assess variations between apps in nutrient coding.MethodsThe top 7 diet-tracking apps were identified from the iOS iTunes and Android Play online stores, downloaded and used over a 2-week period. Each app was independently scored by researchers using the System Usability Scale (SUS), and features were compared with the domains in an integrated behavior change theory framework: the Theoretical Domains Framework. An estimated 3-day food diary was completed using each app, and food items were entered into the United States Department of Agriculture (USDA) Food Composition Databases to evaluate their differences in nutrient data against the USDA reference.ResultsOf the apps that were reviewed, LifeSum had the highest average SUS score of 89.2, whereas MyDietCoach had the lowest SUS score of 46.7. Some variations in features were noted between Android and iOS versions of the same apps, mainly for MyDietCoach, which affected the SUS score. App features varied considerably, yet all of the apps had features consistent with Beliefs about Capabilities and thus have the potential to promote self-efficacy by helping individuals track their diet and progress toward goals. None of the apps allowed for tracking of emotional factors that may be associated with diet patterns. The presence of behavior change domain features tended to be weakly correlated with greater usability, with R2 ranging from 0 to .396. The exception to this was features related to the Reinforcement domain, which were correlated with less usability. Comparing the apps with the USDA reference for a 3-day diet, the average differences were 1.4% for calories, 1.0% for carbohydrates, 10.4% for protein, and −6.5% for fat.ConclusionsAlmost all reviewed diet-tracking apps scored well with respect to usability, used a variety of behavior change constructs, and accurately coded calories and carbohydrates, allowing them to play a potential role in dietary intervention studies.

Rancang Bangun Aplikasi Pendukung Pembelajaran Ilmu Pengetahuan Sosial (IPS) Sekolah Dasar Berbasis Android

IPS is a lesson at the elementary school level. Based on the curriculum at SDN 22 Ampenan which uses the 2006 KTS curriculum, each student learns to use the media of LKS and books as the supporting media. The availability of the media has less influence on students. The purpose of this research is to develop an Android-based application which can support the school. This application aims to help the learning process of students with multimedia available in the application. This application displays materials, images, videos, and evaluations which are contained in the exercises and games of each chapter in grades 5 and 6.This application is built using android studio version 2.2.1 with the Java programming language. Besides this application is also developed using the waterfall model. The testing method used is a black box and MOS testing. Testing using the MOS method on application quality shows that 62.5% of the respondents stated strongly agree, teacher respondents stated strongly agree with the percentage of 62.75%.

(In)Secure Android Debugging: Security analysis and lessons learned

Universal Serial Bus (USB) is currently one of the most popular standards that controls communication between personal computers (PCs) and their peripheral devices. Thus, it is important to establish whether such connections are properly secured especially when USB is used to connect devices like smartphones, tablets, etc. where sensitive user data can be potentially stored. For this reason, this paper evaluates security of the recent Android versions with respect to the USB-related attacks. In particular, we present a novel approach to compromise Android-based devices by exploiting Android Debug Bridge (ADB) protocol using Man in the Middle (MitM) attacks. Comprehensive analysis of those types of attacks have revealed five novel security vulnerabilities in the Android OS. Security gaps found in this paper cannot only be used to bypass the lock screen security and to gain unauthorized access to the user’s private data but also to enable future ADB attacks by incorporating a backdoor to bypass phone security at any time. We also developed a tool which exploits all discovered vulnerabilities and can serve as a security mean to assess current ADB implementations as well as future protocol improvements. By disclosing new security weaknesses we want to raise security awareness of the users, researches, security professionals, and developers related to the USB-related attacks and to the threat they pose not only to PCs but also to the USB devices.