Android System Research Articles

Mobile Learning Platform in Cloud Computing with Information Security and Android System

In order to meet the real-time communication between teachers and students and improve students' interest and efficiency in learning, this paper designs a mobile learning communication system based on information security and Android system with cloud computing. By using the method of combining database records and web logs to mine the user's browsing records and behaviors, these implicit user behaviors are transformed into explicit user evaluations of the project. Then, the cosine similarity calculation method is used to calculate users and the similarity between the users. The users are clustered by the K-means clustering method, so that the users are automatically divided into several user clusters according to their behaviors. Finally, the user's nearest neighbor score is used to predict the pair. Based on the above method, a mobile learning communication system based on Android is realized, and the system basically meets the functional needs of users. The development of this system not only promotes the mutual communication between students but also facilitates the students' learning, which has a certain promoting effect on the improvement of their academic performance.

Development of a mobile application for vancomycin dosing calculation: A useful tool for the rational use of antimicrobials

BackgroundMobile applications (app) provide many benefits for healthcare professionals, making them a useful support clinical decision system. ObjectivesTo describe the development of a mobile app, CalcVAN, to calculate vancomycin dosage regimens for adult and pediatric patients. MethodsThis study is a technological production research to develop a mobile app through the rapid prototyping type for the Android system in the Brazilian context. The mobile app structure was developed in four steps: 1) conception, including the needs assessment, the target audience, the literature search, and the definition of contents; 2) prototype planning, including the definition of topics and writing of modules, the selection of media, and the layout; 3) production of the mobile app, including the selection of multimedia tools, the navigation structure, and planning of environment configuration; and 4) make the mobile app available. ResultsThe CalcVAN has six screens, containing the vancomycin dosing calculator for adult and pediatric patients based on weight and estimated creatinine clearance parameters. Moreover, the mobile app is free and can be used without internet connection. ConclusionsA free mobile app was developed to calculate vancomycin dosage regimens for inpatients. This tool assists to optimize the vancomycin dosing, contributing to the antimicrobial stewardship.

Perancangan Augmented Reality (AR) Sebagai Media Promosi Objek Wisata Berbasis Android

Tourism is one of the most important things for an area. Interesting and crowded tourism shows the progress of the area. One way to promote tourism is by media promotion. There are many ways that can be used for promotion, one of which is by utilizing information technology based on Augmented Reality (AR). AR is a technology that displays 3D virtual objects into a real environment and builds visualization of 3D images in tourist brochures to be more informative. AR helps users get clearer information about the attractions they want to visit in Langsa city. The use of AR on Android makes the system more accessible to users. Based on trials, the AR system was successfully implemented on the Android system. In addition, camera trials were also carried out based on distance, tilt angle, and lighting when detecting tourist attraction markers. The result is that the camera successfully detects the target image (marker) and generates a 3D animation of a tourist attraction. However, the best results in detecting markers are distances above 15cm at an angle with cloudy sunlight lighting criteria.

Use of a program to produce an application as an educational product within the Postgraduate Program in Professional and Technological Education (PROFEPT)

The professional master’s objective is that the master’s student, during the course until its conclusion, can locate, recognize, identify and solve problems. To complete the ProfEPT, it is necessary to prepare and deliver an educational product at the end of the course, which is of immediate applicability within the teaching area. Kodular is a website that makes it possible to create applications based on the Android system using blocks as a programming language. The objective of this article was to demonstrate the use of a program to produce an application as an educational product within the Postgraduate Program in Professional and Technological Education (PROFEPT)[6].

Survey on Reverse-Engineering Tools for Android Mobile Devices

With the presence of the Internet and the frequent use of mobile devices to send several transactions that involve personal and sensitive information, it becomes of great importance to consider the security aspects of mobile devices. And with the increasing use of mobile applications that are utilized for several purposes such as healthcare or banking, those applications have become an easy and attractive target for attackers who want to get access to mobile devices and obtain users’ sensitive information. Developing a secure application is very important; otherwise, attackers can easily exploit vulnerabilities in mobile applications which lead to serious security issues such as information leakage or injecting applications with malicious programs to access user data. In this paper, we survey the literature on application security on mobile devices, specifically mobile devices running on the Android platform, and exhibit security threats in the Android system. In addition, we study many reverse-engineering tools that are utilized to exploit vulnerabilities in applications. We demonstrate several reverse-engineering tools in terms of methodology, security holes that can be exploited, and how to use these tools to help in developing more secure applications.

Design of Network-Assisted Teaching of Ideological and Political Courses for College Students Based on Android System

In order to be able to provide learning resources for learners anytime and anywhere and improve the quality of online teaching, a network-assisted teaching system for college students’ ideological and political courses based on the Android system is designed. The characteristics of the Android system platform and its hierarchical structure are analyzed, and the overall structure of the network-assisted teaching system was designed based on it and through the construction of the system user login module, learning resources module, operation management module, unit test module, and teaching interface display module, so as to achieve the effect of network assisted ideological and political course teaching. The preferences of students were fully considered, the needs of students with different resource spaces were matched, and the genetic algorithm is used to share the information of network teaching resources to meet the needs of ideological and political teaching. According to the experimental results, the system designed in this paper has high accuracy in the recommended content of ideological and political education resources and the coverage of resource recommendation is relatively high, indicating that the application effect of the system is better.

The Effect of Ispring Suite Learning Media on Student Achievement in Fiqh . Subjects

Abstract
 
 This Research aim is knowing the properness of Ispringsuite based android system in Fiqh Material for The first grade in MTSN 14 Megaluh, Jombang. This research using Design Based Research in Brog and Gall Approach. The research Instrument is form as questionnaire validation of Material exprt, linguistic expert, IT expert, in other hands there is also questionnaire validation for students response. The assessment is conducted by classroom mean Score, Likert Scale. The result from the material expert is 81, 91% which claim as extemely proper, from the linguistic expert is 80,25%, which named by verry proper. Beside, the score from IT expert is 70.61% which state as proper category. And the score from the students is around 90%, Which state as extremely proper. In conclusion, Ispring suite Learning Media based Android System in Fiqh Material is Proper to use.

Research on Operating System Migration Method Based on Domestic Embedded Devices

At present, Google’s Android system has the characteristics of open source, rich software functions, and good user experience, and has been highly recognized by a wide range of applications and the market. If the Loongson platform wants to make a difference in mobile terminals and other fields, it needs to support the Android system. However, although the native Android system supports multiple architectures, it only performs a lot of optimizations for the ARM architecture. For other architectures, Google only provides a generic version. This brings a huge challenge to the Loongson processor based on the MIPS architecture. Based on the analysis of the Android system, this paper studies the Android transplantation method of the Loongson 2K1000 platform in detail realizes the transplantation of the Android Lollipop system on the platform and has passed the verification of the Loongson 2K1000 platform.

How resource utilization influences UI responsiveness of Android software

The rapid responsiveness of smartphones is critical to user experience. Excessive resource utilization is typically considered as one of the major factors leading to laggy-UI. Much work focuses on modifying the design of Android systems and software to reduce their resource utilization. However, laggy-UI is still quite common on Android devices, especially the low-end ones. One reason is that developers still lack a clear understanding about how the utilization of various resources (e.g., CPU and memory) affects Android responsiveness, which leads to the inadequacy of existing performance optimization measures. The objective of this paper is to obtain a systematical understanding of how the utilization of various resources (e.g., CPU and memory) affects Android responsiveness. Then accordingly, we aim to figure out the root cause(s) of laggy-UI. First, we conduct a set of controlled experiments on two Android devices with a stress test tool. Second, we further test 36 real-life Android software to study whether the competition of resource(s), the root factor(s) causing laggy-UI, is severe in real-life scenarios. The experimental results show that CPU competition is the root cause and other resources have no observable impact on Android responsiveness, except in extreme cases, e.g., utilization reaches almost 100%. We also find out CPU competition is quite common for existing Android software when it is running in the background. Through stress testing and real-life Android software testing, this work unveils that CPU competition should be the main problem to be solved. Our experimental results deepen and update previous perceptions of resources’ impact on Android responsiveness. Based on these findings, we provide a set of suggestions for designing high-performance Android systems and software, and effective performance optimization tools.

A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning

The computers nowadays are being replaced by the smartphones for the most of the internet users around the world, and Android is getting the most of the smartphone systems’ market. This rise of the usage of smartphones generally, and the Android system specifically, leads to a strong need to effectively secure Android, as the malware developers are targeting it with sophisticated and obfuscated malware applications. Consequently, a lot of studies were performed to propose a robust method to detect and classify android malicious software (malware). Some of them were effective, some were not; with accuracy below 90%, and some of them are being outdated; using datasets that became old containing applications for old versions of Android that are rarely used today. In this paper, a new method is proposed by using static analysis and gathering as most useful features of android applications as possible, along with two new proposed features, and then passing them to a functional API deep learning model we made. This method was implemented on a new and classified android application dataset, using 14079 malware and benign samples in total, with malware samples classified into four malware classes. Two major experiments with this dataset were implemented, one for malware detection with the dataset samples categorized into two classes as just malware and benign, the second one was made for malware detection and classification, using all the five classes of the dataset. As a result, our model overcomes the related works when using just two classes with F1-score of 99.5%. Also, high malware detection and classification performance was obtained by using the five classes, with F1-score of 97%.

Detecting GNSS Jamming and Spoofing on Android Devices

<h3>Abstract</h3> Global navigation satellite system (GNSS) location engines on Android devices provide location and navigation utility to billions of people worldwide. However, these location engines currently have very limited protection from threats to their position, navigation, and time (PNT) solutions. External sources of radio frequency interference (RFI) can render PNT information unusable. Even worse, false signals or spoofing can provide a false PNT solution to Android devices. To mitigate this, four detection methods were developed and evaluated using native location parameters within Android: Comparing the GNSS and network locations, checking the Android mock location flag, comparing the GNSS and Android system times, and observing the automatic gain control (AGC) and carrier-to-noise density (C/N₀) signal metrics. These methods provide a powerful means to significantly increase the robustness of the Android GNSS-based PNT solution and are implemented in the GNSSAlarm Android application to demonstrate real-time jamming and spoofing detection.

ALGORITHM C4.5 IN CLASSIFYING HEALTH OF CAT

One of the activities in the TIU (Technical Implementing Unit) of Office of Animal Husbandry and Animal Health is to carry out the examination of pet health, record and issue an Animal Health Certificate (AHC). The object in this research was cat, where the examination was still performed by laboratory test, using paper as a form of diagnosis carried out by a vet and not using the technology. Therefore, an application to provide decision in determining healthy cat that also implements the algorithm C4.5 based on android system was designed. This system was able to perform diagnosis of cat diseases quickly based on previous medical record, with a training history (training data) as many as 44 cases. Then the classification process would strengthen the results of cat disease diagnosis such as how to deal with disease that had similar symptoms so as to facilitate the Office of Animal Husbandry and Animal Health, as a comparison to issue an Animal Health Certificate. Based on the Black Box testing, the functionality of the module was in accordance with the needs of the system, while the accuracy testing generated the percentage value of 93.18%. This shows that the algorithm C4.5 has a good accuracy to determine healthy cat.

Learning Media Development: FireDroid Application Base on the Android System and Distance Learning

The purpose of this research is to design and develop an Android-based learning media application for the Fire Fighting Equipment course at the Diploma Three PPKP Study Program, Palembang Aviation Polytechnic. The research method used is Research and Development (R&amp;D). This stage of research is 1) Potential and problems; 2) Data collection, 3) Product design, 4) Design validation; 5) Design revisions; 6) Product trials; 7) Design revisions; 8). Usage trials; 9) Revision of the final design; 10) Mass products. User satisfaction questionnaires are used in product success analysis to determine user replies. Responders responded strongly to the response interval of 71-80 people (82.6% - 93%) of the 86 answers, a scale of 4 with the category Very Good (A). The expected benefit is that this learning media can be one of the tools in the lecture process at Palembang Aviation Polytechnic. This research is in the form of a Research Results Report and Intellectual Property Copyright.

Prototyping a controlled robotic arm with digital image processing to detect smartphone screen edges

This paper presents the prototyping of a robotic arm, which makes use of a camera to aid in its computer vision to determine the movements that it can perform, and use the data obtained to send them to the control and decision layer. The computer vision applied to the prototype is based on detecting the edges of the smartphone screen and the colors of the icons presented in pre-established positions by the Android system. The combination of digital image processing algorithms made the robotic arm more efficient in relation to the positioning of the gripper and the touch pen, causing a decrease in the computational cost of processing and eventual energy consumption.

User Centric Android Application Permission Manager

Mobile malware has become a very hot research topic in the last few years, and this was due to the widespread usage of mobile devices all over the world. Like other systems, mobile devices are prune to different attacks that might invade user’s privacy and lead to private data leakage. Millions of Mobile application have been developed and used Worldwide, most of them are requiring permissions to work properly. The permission management problem is more apparent on Android systems rather than other mobile systems such as iOS. Some of these permissions might lead to successful security attacks on Android systems and hence lead to privacy leakage. To reduce the possibility of such attacks, many researchers have proposed mobile applications that help users to manage access permissions for their mobile applications. Most of the proposed systems lack the ability to profile users according to their preferences and do not provide automatic follow up with temporary granted permissions. In this research, we propose a User Centric Android Application Permission Manager tool called (UCAAPM), that provides an efficient and flexible way for managing permissions and profiling these permissions for each user, these profiles can be used on any Android device. UCAAPM will automatically follow up users permissions and grant/deny the permission on a scheduling basis defined by the user’s profile and according to his preferences. Experimental results showed that the tool works efficiently in terms of CPU, RAM, and power consumption, furthermore users are highly satisfied with using it.

Application for Identifying Students Achievement Prediction Model in Tertiary Education: Learning Strategies for Lifelong Learning

&lt;span style="font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;"&gt;The purpose of the research is to identify the risk of dropping out in tertiary students with an application. The components of the research goal aim (1) to develop the students’ achievement prediction model and (2) to construct a prototype application for the predictions of the tertiary students dropping out. &lt;a name="_Hlk71439748"&gt;&lt;/a&gt;The research tools consisted of three parts, (1) tool for developing predictive prototypes uses a tool called the CRISP-DM process with Decision Tree Classification, Feature Selection methods, Confusion Matrix performance, Cross-Validation methods, Accuracy, Precision and Recall measurements, (2) tool for application development used the SDLC with V-method, and (3) tool to assess application satisfaction used questionnaires and statistical analysis. Data sample were collected from 401 students enrolled in the Business Computer Program at the School of Information and Communication Technology, University of Phayao during the academic year 2012-2016. The results showed that the prediction model had a very high percentage of accuracy (82.29%). The prototype test results with the data gathered had a very high score level (84.04%; correct 337 out of 401 training examples). An overview of the underlying application with the utmost integrity by the researchers planned to put the application to the test in the first semester of the academic year 2021 at the School of Information Technology and Communication, University of Phayao. For future research, the researchers plan to create a mobile application for mentors in the University of Phayao to monitor learner on both Android and iOS systems.&lt;/span&gt;

DroidEnemy: Battling adversarial example attacks for Android malware detection

In recent years, we have witnessed a surge in mobile devices such as smartphones, tablets, smart watches, etc., most of which are based on the Android operating system. However, because these Android-based mobile devices are becoming increasingly popular, they are now the primary target of mobile malware, which could lead to both privacy leakage and property loss. To address the rapidly deteriorating security issues caused by mobile malware, various research efforts have been made to develop novel and effective detection mechanisms to identify and combat them. Nevertheless, in order to avoid being caught by these malware detection mechanisms, malware authors are inclined to initiate adversarial example attacks by tampering with mobile applications. In this paper, several types of adversarial example attacks are investigated and a feasible approach is proposed to fight against them. First, we look at adversarial example attacks on the Android system and prior solutions that have been proposed to address these attacks. Then, we specifically focus on the data poisoning attack and evasion attack models, which may mutate various application features, such as API calls, permissions and the class label, to produce adversarial examples. Then, we propose and design a malware detection approach that is resistant to adversarial examples. To observe and investigate how the malware detection system is influenced by the adversarial example attacks, we conduct experiments on some real Android application datasets which are composed of both malware and benign applications. Experimental results clearly indicate that the performance of Android malware detection is severely degraded when facing adversarial example attacks.

Development Mobile Application Android Based for Sensor and Transducer

The aims of this research are: (1) producing a mobile applications android based for sensor and transducer field of study on vocational education; (2) know the quality of the product mobile applications android based for sensor and transducer field study on vocational education. The method used is the Software Development Life Cycle with the Waterfall model. The stages in Waterfall model are: (1) requirements definition; (2) system and software design; (3) implementation and unit testing; (4) integration and system testing; (5) operation and maintenance. The black box test results show the performance of Sensor application software can all function properly. While the results of the compatibility test show the application can run on various android systems (at least Android 4.2).

A Cloud Based Android System for Reporting Crimes Against Child Sexual Abuse

A cloud based android system for reporting crimes against child sexual abuse is a real time cloud-based system to be used by people to report crimes concerning sexual abuse of children to relevant organizations. Usually, when crimes of this kind happen, the victims or witnesses go to the police, or call related organizations to report crimes. The crimes are then processed through a paper-based system where the cases are recorded and them handled accordingly. This approach is usually slow and in sometimes reads to dissatisfactions to the victims and relatives. With the wide spread of android phones, android system to report the crimes would make the crime management easier and faster as the crimes will be reported in real time using an android phone. Management of the cases will also be fast as the crimes will be directly reported to a cloud database which will make crime tracing and management faster. A global positioning system which is already implemented in all android phones will be used to track the location of the person reporting the crime. Firebase real time database will be used to store the data reported. All the users of the system will be authenticated to make sure they are not eligible to use the application and for privacy of user information. Thus, a cloud based android system will be beneficial to both the public and the acting organizations and there by improve measures to reduce sex crimes against children.

PERFORMANCE INDEX MODEL OF GROUNDWATER IRRIGATION SYSTEMS

This research will develop a groundwater irrigation system performance index model with the aim of identifying the groundwater irrigation system performance index; this information can be used by stakeholders to determine management steps. The research location is in Gunungkidul Regency and includes surrounding areas — acknowledging that the karst aquifer has complex characteristics and non-karst aquifer, namely high heterogeneity as a result of the formation of a groundwater flow system through fractures which eventually becomes completely underground runoff. Screening for the variables was carried out using the smart-PLS (Partial Least Square) tool, which was then analyzed using the GRG (Generalized Reduced Gradient) method which is useful for solving non-linear equations. In this research, it examines the physical aspects, social aspects and management aspects as variables. The groundwater irrigation system performance index model examines 3 (three) variables, namely physical aspects, social aspects, and management aspects, then 11 (eleven) dimensions and 42 (forty two) indicators. The analysis using PLS SEM using smart PLS tools determined that the 3 (three) variables, 11 (eleven) dimensions and 30 (thirty) indicators are interrelated and effective. Whereas by using GRG (Generalized Reduced Gradient) analysis with the solver tool in Microsoft Excel, the most influential weights were obtained from the physical aspects, namely physical infrastructure (0.5782), geological conditions (0.2311), water quality (0.1286) and recharge area conditions (0.0475); the social aspects that obtained the most influential weight are socio-cultural (0.7471) and economy (0.2529); the management aspects that obtained the most influential weights are budgeting (0.2534), plant productivity (0.2270), WUA organizational conditions (0.2090), JIAT management organizational conditions (0.1987) and spatial planning directives (0.0674). In general, the weight of the influence of groundwater irrigation performance for these three aspects is 0.6686 physical aspects, 0.0856 social aspects and 0.2458 management aspects which are formulated into a performance index model for groundwater irrigation systems "Kautsar", namely IL = 0.6686 physical IL + 0.0856 social IL + 0.2458 IL management. For development, further research is needed on the performance index model of the groundwater irrigation system using Geography Information System (GIS) and a software application on android, iOS, or windows operation systems. A groundwater irrigation system performance index that consists of these three aspects is unique and has never been assembled in previous studies; it conveniently allow the user to determine survey results immediately.