• Journal of Information Processing Systems
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• 제16권1호
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• pp.42-48
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• 2020

This paper proposes an operating system architecture for unmanned aerial vehicle (UAV), which is secure against root exploit, resilient to connection loss resulting in the control loss, and able to utilize common applications used in Linux. The Linux-based UAVs are exposed to root exploit. On the other hand, the microkernel-based UAVs are not able to use the common applications utilized in Linux, even though which is secure against root exploit. For this reason, the proposed architecture uses a virtualized microkernel on the Linux operating system to isolate communication roles and prevent root exploit. As a result, the suggested Operating system is secure against root exploit and is able to utilize the common applications at the same time.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2007년도 하계학술대회 논문집
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• pp.188-189
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• 2007

Conventional active-clamp forward converter shows good performance in low power applications, however it suffers from a high voltage stress of switch and is not suitable for high input voltage applications. To solve this problem, a new multi-level active-clamp forward converter is proposed in this paper. Utilizing low rating switches, the proposed converter features high efficiency and low cost promising for high input voltage applications.

• 센서학회지
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• 제30권5호
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• pp.286-289
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• 2021

Image classification is one of the fundamental applications of computer vision. It enables a system to identify an object in an image. Recently, image classification applications have broadened their scope from computer applications to edge devices. The convolutional neural network (CNN) is the main class of deep learning neural networks that are widely used in computer tasks, and it delivers high accuracy. However, CNN algorithms use a large number of parameters and incur high computational costs, which hinder their implementation in edge hardware devices. To address this issue, this paper proposes a lightweight image classifier that provides good accuracy while using fewer parameters. The proposed image classifier diverts the input into three paths and utilizes different scales of receptive fields to extract more feature maps while using fewer parameters at the time of training. This results in the development of a model of small size. This model is tested on the CIFAR-10 dataset and achieves an accuracy of 90% using .26M parameters. This is better than the state-of-the-art models, and it can be implemented on edge devices.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2013년도 추계학술발표대회
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• pp.698-701
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• 2013

Mobile social networking applications are getting increasingly popular among today's mobile applications. Mobile users find their old or new friends anywhere or anytime through mobile social network (MSN) services. MSN uses matchmaking mechanisms to discover mutual interests among different people. To discover friends in MSN, a user must share his/her private information which can be a risk for his/her personal privacy as this information can be learned by a malicious or semi honest user. In this paper we give a brief survey on MSN that includes MSN categories, components, architecture and applications. In the rest of the paper we discuss the matchmaking protocols. Finally we give some suggestions to improve the previous protocols.

• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.217-221
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• 2021

Recent studies have indicated that mobile markets harbor applications (apps) that are either malicious or vulnerable, compromising millions of devices. Some studies indicate that 96% of companies' employees have used at least one malicious app. Some app stores do not employ security quality attributes regarding authorization, which is the function of specifying access rights to access control resources. However, well-defined access control policies can prevent mobile apps from being malicious. The problem is that those who oversee app market sites lack the mechanisms necessary to assess mobile app security. Because thousands of apps are constantly being added to or updated on mobile app market sites, these security testing mechanisms must be automated. This paper, therefore, introduces a new mechanism for testing mobile app security, using white-box testing in a way that is compatible with Bring Your Own Device (BYOD) working environments. This framework will benefit end-users, organizations that oversee app markets, and employers who implement the BYOD trend.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1996년도 Proceedings International Workshop on New Video Media Technology
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• pp.101-106
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• 1996

This paper describes the system and network configurations of the Application Development Center for multimedia applications on Korean broadband testbed network. The center is primarily used for developing networked multimedia services funded by the Korean Ministry of Information and Communications. The center is quipped with ATM switch, multimedia workstations and PCs. More than 180 applications for the broadband testbed network are under development. Several examples will be presented in detail.

• 한국컴퓨터정보학회논문지
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• 제20권12호
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• pp.115-120
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• 2015

This paper is a study on applications providing information related to infant care. It classifies various mobile contents into a few types, compares and contrasts them. Also it analyzes the latest trend of the contents and the strengths of newest applications or app. books. Through the analysis, this study suggests an infant care application which provides information efficiently. It causes useful that people in need can gather information conveniently through this application. Furthermore, it offers opportunities to contribute to the society.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2007년도 추계 국제학술대회
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• pp.143-143
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• 2007

• East Asian mathematical journal
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• 제19권2호
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• pp.221-232
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• 2003

An identity for n-time differentiable functions of a real variable in terms of multiple integrals and applications for Ostrowski type inequalities are given.

• Kyungpook Mathematical Journal
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• 제47권3호
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• pp.323-328
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• 2007

In this paper, we extend the result of Ram [3] and also study the $L^1$-convergence of the $r^{th}$ derivative of cosine series.