Comparative study of Google Android, Apple iOS and Microsoft Windows Phone mobile operating systems

Novac, Ovidiu Constantin; Novac, Mihaela Cornelia; Gordan, Cornelia Emilia; Bérczes, Tamás; Bujdosó, Gyöngyi

doi:10.1109/emes.2017.7980403

Cited by 25 publications

(12 citation statements)

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“…Developers within the open-source Linux community want to gain a significant share of end-user desktops that increase the number of intended Linux users than the Unix of old school users who are afraid to share the desire at OS market and server [54].…”

Section: Linux Osmentioning

confidence: 99%

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

Malallah

Zeebaree

Zebari

et al. 2021

AJRCoS

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Various operating systems (OS) with numerous functions and features have appeared over time. As a result, they know how each OS has been implemented guides users' decisions on configuring the OS on their machines. Consequently, a comparative study of different operating systems is needed to provide specifics on the same and variance in novel types of OS to address their flaws. This paper's center of attention is the visual operating system based on the OS features and their limitations and strengths by contrasting iOS, Android, Mac, Windows, and Linux operating systems. Linux, Android, and Windows 10 are more stable, more compatible, and more reliable operating systems. Linux, Android, and Windows are popular enough to become user-friendly, unlike other OSs, and make more application programs. The firewalls in Mac OS X and Windows 10 are built-in. The most popular platforms are Android and Windows, specifically the novelist versions. It is because they are low-cost, dependable, compatible, safe, and easy to use. Furthermore, modern developments in issues resulting from the advent of emerging technology and the growth of the cell phone introduced many features such as high-speed processors, massive memory, multitasking, high-resolution displays, functional telecommunication hardware, and so on.

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Section: Linux Osmentioning

confidence: 99%

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

Malallah

Zeebaree

Zebari

et al. 2021

AJRCoS

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“…Xiao, et al [11] took the user's temporal series trajectory into account when collecting their location information, and implement local differential privacy protection under this condition. First applied RAPPOR [12] technology based on random response to Google Chrome in 2014. To solve the problems in which existing trajectory privacy-preserving models have poor data availability or difficulty to resist complex privacy attacks, Zhao, et al [11] devise novel trajectory privacy-preserving method based on clustering using differential privacy.…”

Section: Related Workmentioning

confidence: 99%

“…Local differential privacy can better protect users' privacy compared with centralized differential privacy, which has also attracted more scholars' attention. Local differential privacy is more suitable for actual production environment, and the relevant applications include stream data collection [9], the protection of users' location information [11] [13], the protection of user preference setting information [12], the protection of user device usage record information [14] [15], etc. However, Most of local differential privacy frameworks target statistics on certain privacy behaviors of users, but not behavior sequences, this is the issue to be solved in this article.…”

Section: Related Workmentioning

confidence: 99%

Behavior Sequence Mining Model Based on Local Differential Privacy

Yan

Wang

2020

IEEE Access

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Most of local differential privacy frameworks target statistics on certain privacy behaviors of users, but not behavior sequence. In this paper, we explore and propose a behavior sequence mining model that satisfies the local differential privacy requirement to settle the matter. We decompose their potential behavior sequence into multiple temporal pairs that are computed by the server to infer indirectly behavior sequence of users, shrinking the statistical sample space with adjacent temporal pairs to reduce statistical errors. The experiment takes an example, trajectories of users can be inferred by their location information, to demonstrate the effect our model achieved. It shows that the model can approximate users' trajectories under the requirement of local differential privacy.

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“…Berikut perbandingan penjualan smartphone tahun 2017 dan tahun 2018: Gambar 1. Perbandingan Penjualan Smartphone Salah satu jenis sistem operasi smartphone yang diperbandingkan dalam penelitian ini adalah Android, merupakan suatu sistem operasi yang berbasis Linux untuk smartphone ataupun pada komputer tablet [2]. Android menyediakan platform terbuka bagi para pengembang dalam menciptakan aplikasi mereka sendiri untuk digunakan oleh bermacam peranti penggerak.…”

Section: Pendahuluanunclassified

Perbandingan Fitur Smartphone, Pemanfaatan Dan Tingkat Usability Pada Android Dan iOS Platforms

Arnomo

Hendra²

2019

InfoTekJar

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Android dan iOS nowadays have become the most dominating operating system in smartphone markets. These two operating system continue to grow rapidly in terms of technology as well as the number of devices that exist in the world. However, consumers are still lacking of understanding on how to compare these two operating systems from various of aspects. So, this research is being conducted with the purpose to learn about the comparison of these two operating system in terms of features, utilizations and usability. Method that is being used in this research is descriptive analysis which in comparison of features and utilizations are using documentation and observation as data collection technique. For usability comparison is using questionnaire technique. Result of the research has shown that Android and iOS each have their unique features such as Google Hangouts with i-Message and Smart Caller ID with Facetime. Afterwards, comparison of utilizations has shown that Android is mostly being used for communication as for iOS more for information searching. Meanwhile, for descriptive result of usability has shown that Android and iOS have the same level of ease of use which is good. CORRESPONDENCE

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Comparative study of Google Android, Apple iOS and Microsoft Windows Phone mobile operating systems

Cited by 25 publications

References 0 publications

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

Behavior Sequence Mining Model Based on Local Differential Privacy

Perbandingan Fitur Smartphone, Pemanfaatan Dan Tingkat Usability Pada Android Dan iOS Platforms

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