• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.3
• /
• pp.151-160
• /
• 2013

iOS applications refer to the apps operating on iOS, a mobile OS developed by Apple. As iOS provides graphic user interfaces based on touch screens, most of iOS apps support GUIs. GUIs become increasingly important for iOS apps. So are GUI tests. As GUI functions are performed by event handlers, faulty event handlers could cause defects in GUIs. Hence, this study detects faults in event handlers as a way to test GUIs for iOS apps, and suggests how to generate test cases by re-defining input domains of event handlers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.10a
• /
• pp.403-404
• /
• 2012

This paper proposes development of a game application playing on smartphones. Game applications occupy an important classification among many applications on mobile platform. The proposed game application is developed on the iPhone and benchmarks Fortress based on PC platforms.

• Journal of Internet Computing and Services
• /
• v.20 no.4
• /
• pp.13-19
• /
• 2019

In order to register an application with Apple's App Store, it must pass a rigorous verification process through the Apple verification center. That's why spyware applications are difficult to get into the App Store. However, malicious code can also be executed through normal application vulnerabilities. To prevent such attacks, research is needed to detect and analyze early to patch potential vulnerabilities in applications. To prove a potential vulnerability, it is necessary to identify the root cause of the vulnerability and analyze the exploitability. A tool for analyzing iOS applications is the debugger named LLDB, which is built into Xcode, the development tool. There are various functions in the LLDB, and these functions are also available as APIs and are also available in Python. Therefore, in this paper, we propose a method to efficiently analyze potential vulnerabilities of iOS application by using LLDB API.

• Journal of Internet Computing and Services
• /
• v.22 no.3
• /
• pp.37-43
• /
• 2021

In this paper, we study how objects from front and back cameras can be recognized in real time in a mobile environment to segment regions of object pixels and synthesize them through image processing. To this work, we applied DeepLabV3 machine learning model to dual cameras provided by Apple's iOS. We also propose methods using Core Image and Core Graphics libraries from Apple for image synthesis and postprocessing. Furthermore, we improved CPU usage than previous works and compared the throughput rates and results of Depth and DeepLabV3. Finally, We also developed a camera application using these two methods.

• Information and Communications Magazine
• /
• v.29 no.9
• /
• pp.3-9
• /
• 2012

본고에서는 WWCD2012에서 발표한 iOS 6.0에서는 Maps/Siri/Facetime/Passbook 등의 자체 서비스 강화, Major Service의 Embedded를 통한 Application 기능 강화 등에 초점을 맞추어 개선점을 찾아가고 있다. 이에 대해 Google도 Siri에 대응되는 Google Now를 발표하고, iPad에 대응되는 넥서스7를 발표하였다. 지금까지는 자체 개선점에 주력하며 기능을 하나씩 개선하는데 주력한 것에 비해서 2012년에는 안정적이고 빠른 UI 및 Frameworks의 개선을 제시하면서 사실상 유사한 품질을 제공하려 노력하고 있으며, 경쟁 OS 대비 경쟁을 의식한 기능과 서비스를 계속 제안할 것이다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2013.01a
• /
• pp.189-190
• /
• 2013

기존 차량용 블랙박스는 별도의 기기를 이용하는데, 이때 추가적인 비용이 발생하는 문제점이 있다. 또한 사고가 발생한 경우, 사용자의 의식을 체크 하지 못해 구조 신고를 보내는 등의 기능을 유연하게 추가하지 못하는 단점을 가지고 있다. 본 논문에서는 블랙박스 사용 시 발생하는 추가비용감소와 교통사고 발생 후 발생되는 환자의 응급 후송 및 뺑소니 등 2차 교통사고를 방지하기 위한 시스템의 필요성에 따라 아이폰에 있는 센서들을 활용하여 소프트웨어 방식의 차량용 블랙박스 시스템을 설계 및 구현하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.05a
• /
• pp.642-643
• /
• 2013

Recently there are many smartphone applications. People who live in these days interest in health but there are not many smartphone applications that deal with healthcare. In this work, we will introduce healthcare application which introduce exercise methods and user can be seen their consuming calories and eating calories using calender.

• Electronics and Telecommunications Trends
• /
• v.33 no.6
• /
• pp.129-138
• /
• 2018

As recent applications are requiring more CPUs for their performance, manycore systems have evolved. Since existing operating systems do not provide performance scalability in manycore systems, Azalea, a multi-kernel based system, has been developed for supporting performance scalability. Unikernel is a new operating system technology starting with the concept of a library OS. Applying unikernel to Azalea enables an improvement in performance. In this paper, we first analyze the current technology trends of unikernel, and then discuss the applications and effects of unikernel to Azalea. Azalea-unikernel was built in a single image consisting of libOS, runtime libraries, and an application, and executed with the desired number of cores and memory size in bare-metal. In particular, it supports source and binary compatibility such that existing linux binaries can be rebuilt and executed in Azalea-unikernel, and already built binaries can be run immediately without modification with a better performance. It not only achieves a performance enhancement, it is also a more secure OS for manycore systems.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.21 no.1
• /
• pp.167-175
• /
• 2011

As recent emergence of smart phones, mobile services are growing in various forms. Many companies released smart phones of various operating systems such as Window Mobile, Android and iOS. Currently, most popular smart phone operating systems are Android and iOS. Due to the various features of these smart phone, they can be employed to various crimes. From the point of view of digital forensics, this paper analyzes the evidence data which needs to be collected in the smart phone, and implements the evidence analysis tool. By using this tool, it can reduce the time and effort for collecting and analyzing the evidence of the smart phone.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.5
• /
• pp.1-8
• /
• 2013

Smartphone enables diverse applications to be used in mobile environments. In spite of the high performance of smartphones, battery life has become one of the major constraints in mobility. Therefore, power efficiency of the smartphone is one of the most important factors in determining the efficiency of the smartphone. In this paper, in order to analyze the power efficiency of the smartphone, we have various experiments according to several configuration parameters such as processor, display and OS. We also use diverse applications. As a result, power consumption is dependent on the processor complexity and display size. However, power consumption shows the unpredictable pattern according to the OS. Smartphone using android OS consumes high power when internet and image processing applications are executed, but It consumes low power when music and camera applications are executed. In contrary, smartphone based on iOS consumes high power when game and internet applications are executed but it consumes low power when camera and processing applications are executed. In general, smartphone using iOS is more power efficient than smartphone based on android OS, because smartphone using iOS is optimized in the perspective of the hardware and OS.