Privacy Rating of Mobile Applications Based on Crowdsourcing and Machine Learning

With the advent of the 5G network era, the convenience of mobile smartphones has become increasingly prominent, the use of mobile applications has become wider and wider, and the number of mobile applications. However, the privacy of mobile applications and the security of users' privacy information are worrying. This article aims to study the ratings of data and machine learning on the privacy security of mobile applications, and uses the experiments in this article to conduct data collection, data analysis, and summary research. This paper experimentally establishes a machine learning model to realize the prediction of privacy scores of Android applications. The establishment of this model is based on the intent of using sensitive permissions in the application and related metadata. It is to create a regression function that can implement the mapping of applications to score . Experimental data shows that the feature vector prediction model can uniquely be used to represent the actual usage and scheme of a system's specific permissions for the application.

Privacy Rating of Mobile Applications Based on Crowdsourcing and Machine Learning

With the advent of the 5G network era, the convenience of mobile smartphones has become increasingly prominent, the use of mobile applications has become wider and wider, and the number of mobile applications. However, the privacy of mobile applications and the security of users' privacy information are worrying. This article aims to study the ratings of data and machine learning on the privacy security of mobile applications, and uses the experiments in this article to conduct data collection, data analysis, and summary research. This paper experimentally establishes a machine learning model to realize the prediction of privacy scores of Android applications. The establishment of this model is based on the intent of using sensitive permissions in the application and related metadata. It is to create a regression function that can implement the mapping of applications to score . Experimental data shows that the feature vector prediction model can uniquely be used to represent the actual usage and scheme of a system's specific permissions for the application.

Survey Paper on Resume Building Applications

Nowadays getting a good job is a vigorous and vast competition and many fail in the first step i.e., Resume shortlisting due to either imperfect data in the resume or imperfect/wrong resume format. Recruiter hardly takes 10-15 seconds to judge you upon your resume. In this survey paper, we point out a comparative study on different methods used for resume building and which technology is used to build them. Some of the methods use Android applications, some use Desktop applications. This paper makes a detailed analysis and talks about the merits and demerits of various Resume building methods. Keywords: Android applications, Desktop applications, Recruiter, Vigorous, Vast.

Pengembangan media pembelajaran AIKO berbasis aplikasi android dari PowerPoint materi pertumbuhan dan pembangunan ekonomi kelas XI

Being in the industrial era 4.0, teachers as educators are required to understand technology more than their students. Teachers need to understand students' needs for technological developments so that classroom learning runs well. The development of learning media is one of the alternative solutions that can be used by teachers to meet the needs of students for technological developments. The purpose of research and development is to produce learning media products based on android applications from Microsoft PowerPoint on material for economic growth and development for class XI. This research and development uses the ADDIE model. The results of the research and development were obtained from the results of the feasibility test through filling out validation questionnaires with validators of material experts (lecturers), media experts (lecturers), learning practitioners (economics teachers), and test results with users (students) through small group trials and large group trial. The average result of the validation and testing as a whole obtained a score of 92.177 percent so that this research and development product is very valid and very feasible to be used as a learning medium. Abstrak Berada pada era industri 4.0 guru sebagai pendidik diharuskan untuk memahami teknologi lebih dari siswanya. Guru perlu memahami kebutuhan siswa atas perkembangan teknologi agar pembelajaran di kelas berjalan dengan baik. Pengembangan media pembelajaran menjadi salah satu solusi alternatif yang bisa digunakan oleh guru untuk memenuhi kebutuhan siswa atas perkembangan teknologi. Tujuan dari penelitian dan pengembangan adalah untuk menghasilkan produk media pembelajaran berbasis aplikasi android dari Microsoft PowerPoint pada materi pertumbuhan dan pembangunan ekonomi kelas XI. Penelitian dan pengembangan ini menggunakan model ADDIE. Hasil dari penelitian dan pengembangan diperoleh dari hasil uji kelayakan melalui pengisian kuisioner validasi bersama validator ahli materi (dosen), ahli media (dosen), praktisi pembelajaran (guru ekonomi), dan hasil uji coba bersama pengguna (siswa) melalui uji coba kelompok kecil dan uji coba kelompok besar. Rata-rata asil validasi dan uji coba secara keseluruhan memperoleh skor sebesar 92,177 persen sehingga produk penelitian dan pengembangan ini sangat valid dan sangat layak untuk digunakan sebagai media pembelajaran.

Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer

The streaming and recording of smartphone sensor signals is desirable for mHealth, telemedicine, environmental monitoring and other applications. Time series data gathered in these fields typically benefit from the time-synchronized integration of different sensor signals. However, solutions required for this synchronization are mostly available for stationary setups. We hope to contribute to the important emerging field of portable data acquisition by presenting open-source Android applications both for the synchronized streaming (Send-a) and recording (Record-a) of multiple sensor data streams. We validate the applications in terms of functionality, flexibility and precision in fully mobile setups and in hybrid setups combining mobile and desktop hardware. Our results show that the fully mobile solution is equivalent to well-established desktop versions. With the streaming application Send-a and the recording application Record-a, purely smartphone-based setups for mobile research and personal health settings can be realized on off-the-shelf Android devices.

Implementing Augmented reality in Tourism

Modern technology is becoming a necessity of many destinations to stay competitive and attractive to the tourist. A new form of technology that is being used increasingly is Virtual and Augmented Reality (AR). The aim of this paper is to display the development of a mobile AR tourism application in urban heritage called PazinAR. Although Augmented Reality has passed the initial hype stage, the technology is just on the verge of being implemented in the tourism industry. This paper describes preparation, design, implementation and execution of prototype touristic application based on Augmented Reality (AR) technology. The application was made using Unity software and AR SDK Vuforia and exported as Android applications. Created application enables overlapping old photos with current view. Furthermore, several significant implications for AR Tourism research and practice are revealed.