• Journal of Digital Convergence
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• v.9 no.4
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• pp.235-244
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• 2011

According to spread of Smart Work introduction to public organizations & commercial enterprises, its being more focused on how to implement Smart Work effectively. So far current Smart Work, mainly Mobile Office has emphasized the speed & efficiency of management. But future Smart Work, Smart Work 2.0 must focus on the creativity & innovation of companies & people. In order to do that, the new technology like Social networking & Cloud computing should be applied. This study suggests Smart Work 2.0 implementation methodology including critical successful factors & solutions of Smart Work implementation through referencing existing implementation methodology and case study.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.596-600
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• 2010

This paper proposes hough transform-based semi-automatic vertex detection algorithm for object modeling on a mobile phone supporting touch-screens. The proposed algorithm shows fast processing time by searching the limited range of parameters for computing hough transform with a small range of ROI image. Moreover, the proposed algorithm removes bad candidates among the detected lines by selecting the two closest candidate lines from the position of user's input. After that, it accurately detects an interesting vertex without additionally required interactions by detecting an intersection point of the two lines. As a result, we believe that the proposed algorithm shows a 1.4 pixel distance error on average as a vertex detection accuracy under such conditions as a 5.7 pixel distance error on average as an inaccurate input.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.5
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• pp.1296-1303
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• 2008

Recently, the university environment has been changed faster than before. It has based on university environment and IT infrastructure. Especially, most of local university has devised development plan such as improving the image and competitive power of campus. Digital, Electronic and Mobile Campus has increased the importance as people realize that the use of technology can improve the learning process. U-Campus of latest IT Technology need a service environment of which the practical use is possible through IT analysis of the members. For example u-campus setup of mobile offers the convenience to the members. We expected thing to use much, even though actual condition investigation about IT environment of the user is insufficient. The inconvenience of mobile could not be activated to the service for proactive use. The importance became the result about u-campus service setup of a company and university center. This service environment cannot offer specific information of center members for which the service implements. In this paper, we studied about members centralized u-campus model through u-recruit, campus information mobile service on university.

• Journal of KIISE:Information Networking
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• v.31 no.6
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• pp.659-672
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• 2004

A Mobile Ad hoc Network (MANET) is a group of independent mobile computing nodes that consist of a multi-hop wireless network without a central administration or any infrastructure. Every node that wants to join a MANET must obtain an address for communication. Having a centralized DHCP server that provides addresses to nodes, we can easily and automatically obtain addresses. However, a MANET lacks any fixed infrastructure such as a DHCP server. We therefore propose a distributed address autoconfiguration approach for a MANET using a reserved address and optimistic Duplicated Address Detection (DAD). The reserved address helps to reduce the allocation latency, and the optimistic DAD guarantees the uniqueness of addresses and lessens communication overhead. We then suggest methods of handling network partition and network merging situations, and go on to evaluate our approach through simulations. The simulation result shows that our scheme guarantees the uniqueness of allocated address and considerably improves allocation latency and communication overheads.

• Journal of Intelligence and Information Systems
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• v.15 no.1
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• pp.31-50
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• 2009

As the collected information which is static or dynamic is infinite in ubiquitous computing environments, information overload and invasion of privacy have been pressing issues in the recommendation service. In this study, we propose a recommendation service procedure through P2P, The P2P helps customer to obtain effective and secure product information because of communication among customers who have the similar preference about the products without connection to server. To evaluate the performance of the proposed recommendation service, we utilized real transaction and product data of the Korean mobile company which service character images. We developed a prototype recommender system and demonstrated that the proposed recommendation service makes an effect on recommending product in the ubiquitous environments. We expect that the information overload and invasion of privacy will be solved by the proposed recommendation procedure in ubiquitous environment.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.148-156
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• 2011

Recently, an introduction of the cloud computing causes rapid changes in every aspect of the internet environments including hardware, operating systems, applications, and their services. As the cloud computing environment based on SaaS are being developed to a form in which web platform technology and web cloud services are converged. The digital library system also has been being developed to a service model optimized to SaaS based cloud computing environment, which are different from ASP technology. From the web interface point of view, user customization of the SaaS based cloud computing environment is the most important fact. Therefore, this research work suggests a customized web interface considering usability and accessibility so that enterprises and individual users can be able to do an effortless internet browsing under the cloud computing environment. For this purpose, usability tests were carried out as the user customized web interface design were developed and applied to the LinkSaaS website. This paper work lastly presents an UI environment on which customized interface design for individual users can be formulated.

• KIISE Transactions on Computing Practices
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• v.23 no.2
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• pp.134-139
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• 2017

The existing screen mirroring systems are vulnerable to packet loss and inefficient for mobile devices with limited energy capacity. To overcome these problems, we propose a packet loss robust and energy efficient screen mirroring system for mobile device. The proposed system employs systematic Raptor codes for a forward error correction method to mitigate the video quality degradation that is caused by packet loss over wireless networks. For the mobile device energy saving, the proposed system shapes the screen mirroring traffic and adjusts the Raptor encoding parameters. In this paper, the proposed system is fully implemented on single board computers and is examined in a real Wi-Fi Direct network.

• Journal of Digital Convergence
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• v.9 no.2
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• pp.131-140
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• 2011

As the recent advances in network and wireless communications and semiconductor design and process technologies, our computing platform is rapidly shifting from desktop PCs to mobile devices such as UMPC (Ultra Mobile PC), Tablet PC, and Smartphone. Especially, wide-spreading Smartphones allow a new field of application based on location based services available with an user interface called augmented reality (AR). Therefore, this paper introduces an implementation of AR using various OpenAPls on Android Smartphones. In order to utilize enrich user data in real time, the system integrates with location based social network services also with OpenAPI. These APIs enable third-party developers to make use of rich contents of many portal web sites. The prototype was implemented on the real Android phone, Sky Sirius, and the result shows that it can provide an efficient location based service using AR technology without any constraints on mobile devices; in addition, it connects SNS to AR for sharing user data including photos, videos, and messages based on a specific location.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.11
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• pp.866-870
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• 2009

As touch-screen mobile phones pour into the market, demands for reusing existing mobile game contents by adding a touch-screen interface are increasing. But, the contents which are developed in existing does not have touch-screen interface and in order not to be automatic is difficult with touch- screen contents to convert. From the present paper uses keyboard interface information about the mobile game contents which does not have touch-screen interface and creates touch-screen interface with automatic the method which proposes. This method analyzes the type of key events which are used from the contents the screen keyboard layout of optimum and construct. And, key event where is confronted with automatic occurs about touch screen event and creates the screen interface which executes the keyboard event handler. In the end, experiment leads and the screen interface which has become optimum anger to the contents creating, confirms.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.7
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• pp.469-477
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• 2009

In mobile systems, energy efficiency is critical to extend battery life. Therefore, power consumption should be taken into account to develop software in addition to performance, Efficient software design in power and performance is possible if accurate power prediction is accomplished during the execution of software, In this paper, power estimation model is developed using statistical analysis, The proposed model analyzes processor behavior Quantitatively using the data of performance monitoring events and power consumption collected by executing various benchmark programs, And then representative hardware events on power consumption are selected using hierarchical clustering, The power prediction model is established by regression analysis in which the selected events are independent variables and power is a response variable, The proposed model is applied to a PXA320 mobile processor based on Intel XScale architecture and shows average estimation error within 4% of the actual measured power consumption of the processor.