• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권5호
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• pp.836-858
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• 2010

Web Services allow a user to integrate applications from different platforms and languages. Since mobile applications often run on heterogeneous platforms and conditions, Web Service becomes a popular solution for integrating with server applications. However, because of its verbosity, XML based SOAP messaging gives the possible overhead to the less powerful mobile devices. Based on the mobile client's behavior that it usually exchanges messages with Web Service continuously in a session, we design the Handheld Flexible Representation architecture. Our proposed architecture consists of three main components: optimizing message representation by using a data format language (Simple_DFDL), streaming communication channel to reduce latency and the Context-store to store context information of a session as well as redundant parts of the messages. In this paper, we focus on the Context-store and describe the architecture with the Context-store for improving the performance of mobile Web Service messaging. We verify our approach by conducting various evaluations and investigate the performance and scalability of the proposed architecture. The empirical results show that we save 40% of transit time between a client and a service by reducing the message size. In contrast to solutions for a single problem such as the compression or binarization, our architecture addresses the problem at a system level. Thus, by using the Context-store, we expect reliable recovery from the fault condition and enhancing interoperability as well as improving the messaging performance.

• International journal of advanced smart convergence
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• 제8권1호
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• pp.9-17
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• 2019

In this article, we present a performance enhancement scheme for mobile applications by adopting persistent memory. The proposed scheme supports the deadline guarantee of real-time applications like a video player, and also provides reasonable performances for non-real-time applications. To do so, we analyze the program execution path of mobile software platforms and find two sources of unpredictable time delays that make the deadline-guarantee of real-time applications difficult. The first is the irregular activation of garbage collection in flash storage and the second is the blocking and time-slice based scheduling used in mobile platforms. We resolve these two issues by adopting high performance persistent memory as the storage of real-time applications. By maintaining real-time applications and their data in persistent memory, I/O latency can become predictable because persistent memory does not need garbage collection. Also, we present a new scheduler that exclusively allocates a processor core to a real-time application. Although processor cycles can be wasted while a real-time application performs I/O, we depict that the processor utilization is not degraded significantly due to the acceleration of I/O by adopting persistent memory. Simulation experiments show that the proposed scheme improves the deadline misses of real-time applications by 90% in comparison with the legacy I/O scheme used in mobile systems.

• 한국의류산업학회지
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• 제25권1호
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• pp.24-40
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• 2023

Contemporary consumers' acceptance of second-hand products has been increasingly improving worldwide, especially in China. Based on the Extended Unified Theory of Acceptance and Use of Technology, we developed and empirically validated a research framework to predict consumers' motivation to use re-commerce platforms. We explored the diverse factors influencing mobile commerce usage through re-commerce platforms. Furthermore, this study investigated the role of gender differences as a factor moderating the association between several constructs and the intention to use re-commerce platforms. A total of 226 consumer responses were collected. The results indicated that hedonic motivation, performance expectancy, consumer habits, social influence, and price value affect consumers' attitudes toward re-commerce platforms. The effects of the attitude toward re-commerce platforms on the intention to use these platforms were also statistically significant. When effort expectancy, hedonic motivation, and consumer habits in re-commerce platform usage increase, male consumers' attitude toward its usage, in particular, also increases. Meanwhile, when performance expectancy, hedonic motivation, and consumer habits in re-commerce platform usage increase, the attitude toward its usage increases among female consumers. Moreover, our results indicate that the two gender groups present different characteristics regarding re-commerce platform usage. Therefore, this study offers a theoretical basis for future analyses of second-hand trade.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.354-356
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• 2009

Air quality analysis is done for subway trains and subway platforms of subway line number 2 using mobile environmental sensor modules. $CO_2$ and PM10/PM2.5 particulate concentration are investigated for screen door systems, under-ground platforms, and transfer stations. These results would help to increase the quality of life of subway railroad passengers.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.135-136
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• 2006

There are a numerous number of mobile platforms so that content developers have difficulties of developing many versions of the same content by platforms. At present, each country becomes realizing the need of standardization, however, the progress of standardization is very slow because of the service providers and market flows. This paper investigates about the present state and standardization trend of mobile platform technologies so that it would help to lead the standardization process in the future.

• 한국콘텐츠학회논문지
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• 제7권4호
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• pp.1-9
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• 2007

이동통신사업자는 기존의 음성서비스에서 고속 무선인터넷 서비스를 기반으로 하는 신규 사업모델 개발을 위해 고속 무선인터넷 망을 구축하고 다기능 휴대폰을 개발하여 보급하고 있다. 국내 이동통신사업자는 무선인터넷 서비스의 활성화를 위해 cdma2000-1x, EvDo에서 HSDPA로 고속 무선인터넷망을 구축하고 MP3, MPEG, 3D 게임엔진, DMB 등 이동멀티미디어 솔루션과 팝업 창과 같이 새로운 UI를 갖는 다기능 휴대폰을 개발하여 보급하고 있다. 또한, 무선인터넷 서비스의 콘텐츠 개발을 위해 WAP, ME등의 모바일 브라우저와 WIPI, J2ME, BREW 등의 무선인터넷 플랫폼을 사용하고 있다. 그러나 이동통신 사업자별로 다른 무선인터넷 플랫폼을 사용하고 있어 콘텐츠 사업자가 무선인터넷 서비스를 사용자에게 제공하기 위해서는 서로 다른 무선인터넷 플랫폼으로 어플리케이션을 개발하여야 하는 문제가 있다. 본 논문에서는 무선인터넷 플랫폼에서 개발된 어플리케이션을 다른 무선인터넷 플랫폼에서 동작할 수 있도록 하는 어플리케이션 상호 호환을 위한 변환 솔루션을 제안한다. 제안하는 어플리케이션 상호 호환을 위한 변환 솔루션은 대표적 인 무선인터넷 플랫폼인 WIPI와 BREW 간 어플리케이션 변환을 위 해 단일패스(one-pass) 컴파일러 방식을 사용하여 개발되었다. 개발된 변환 솔루션의 성능은 무선인터넷 핵심 서비스인 게임 어플리케이션에 적용하여 API 변환율, 프로그램 성능, 변환 프로그램 크기, 변환 소요시간에 대해 확인하였다.

• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.360-370
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• 2022

Demand for machine learning systems continues to grow, and cloud machine learning platforms are widely used to meet this demand. Recently, the performance improvement of the application processor of smartphones has become an opportunity for the machine learning platform to move from the cloud to On-Device AI, and mobile applications equipped with machine learning functions are required. In this paper, machine learning tools for mobile applications are investigated and compared the characteristics of these tools.

• 디지털콘텐츠학회 논문지
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• 제8권3호
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• pp.411-418
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• 2007

미디어 컨버전스 환경 속에서 디지털 영화는 주요한 콘텐츠 공급원이자 강력한 문화적 파급력을 지닌 콘텐츠로 각광받고 있다. 이에 디지털 영화는 극장 이외에도 공중파 방송, 케이블 TV, 인터넷, 모바일 등으로 그 상영 플랫폼을 확장해 가고 있다. 본 연구는 위의 미디어들을 1차 플랫폼으로 하여 제작, 상영된 디지털 영화의 현황을 다양한 사례를 중심으로 살펴보고 그 형식적, 내용적 특징들을 분석한다. 이를 통해 상영 플랫폼 분화에 따른 디지털 영화의 특징변화를 연구하고 급변하는 환경 속에서 디지털 영화 콘텐츠가 나아갈 방안을 모색한다.

• 경영정보학연구
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• 제17권3호
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• pp.135-157
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• 2015

앱을 통해 기부가 이루어지는 모바일 기부 플랫폼이 증가하고 있다. 모바일 기부 플랫폼은 사용자들의 지속 참여를 위해 재미나 건강과 같은 요소들을 핵심 가치로 내세우고 있다. 이는 기존의 오프라인 기부 플랫폼에서는 찾아볼 수 없었던 새로운 전략이라고 볼 수 있다. 본 연구는 첫째, 모바일 기부 플랫폼이 지속적인 기부 참여를 위해 왜 새로운 전략을 취하고 있는 것인지, 둘째, 새로운 전략이 어떻게 지속적인 기부 참여를 이끌어내고 있는지에 대해 알아보고자 하였다. 이를 위해 국내의 대표적인 모바일 기부 플랫폼인 빅워크와 트리플래닛을 대상으로 사례연구를 진행하였다. 본 연구는 지속 참여 유도 기제를 파악하기 위한 이론적 틀로써 심리적 거리감과 해석수준의 관계를 설명하는 해석수준 이론을 이용하였다. 본 연구의 결과는 모바일 플랫폼으로의 이동이라는 환경적 변화에 따라 사용자들이 기부 플랫폼에 대한 심리적 거리감이 감소하였다는 것을 보여준다. 지속적인 참여 유도를 위해서는 심리적 거리감에 따라 적절한 해석수준을 형성하게 하는 것이 중요하며, 따라서 모바일 기부 플랫폼은 낮은 해석수준의 서비스 요소들을 강조하는 것으로 나타났다. 이러한 결과는 향후 모바일 기부 활성화를 위해 활용될 수 있다.

• International Journal of Contents
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• 제10권3호
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• pp.17-25
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• 2014

In this paper, we describe an adaptive Markov chain Monte Carlo-based particle filter that effectively addresses real-time multi-face tracking on mobile platforms. Because traditional approaches based on a particle filter require an enormous number of particles, the processing time is high. This is a serious issue, especially on low performance devices such as mobile phones. To resolve this problem, we developed a tracker that includes a more sophisticated likelihood model to reduce the number of particles and maintain the identity of the tracked faces. In our proposed tracker, the number of particles is adjusted during the sampling process using an adaptive sampling scheme. The adaptive sampling scheme is designed based on the average acceptance ratio of sampled particles of each face. Moreover, a likelihood model based on color information is combined with corner features to improve the accuracy of the sample measurement. The proposed tracker applied on various videos confirmed a significant decrease in processing time compared to traditional approaches.