• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.759-762
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• 2015

As a result of the popularization of smart devices, smart phones or the tablets have become necessities in modern society. In this current of the times, the bring-your-own-device environment, in which personally owned smart devices are utilized in life, is attracting attention. In this context, this paper designed a Wi-Fi remote ordering system focused on the BYOD environment. If the Wi-Fi remote ordering system based on the BYOD environment is popularized, positive effects can be expected such as the enhancement of efficiency and the increase of customer benefits. As a typical example, real-time customer requests via smart devices enable the provision of fast services. This paper designed a mobile app for customers' remote ordering and web pages on which member stores can inquire details of orders, manage a menu, and register statistical data on sales. If the Wi-Fi remote ordering system designed by this paper is widely distributed internationally, it is expected that the system will be used usefully by many people.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.225-234
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• 2015

Most mobile devices such as smartphones and tablets have a soft keyboard implemented on the LCD touch screen to receive text inputs from the user. Because the size of the LCD screen is small, many efforts are going on to develop efficient soft keyboard with less key buttons. Especially, Hangul soft keyboard needs much time, effort, and deep software technology in developing an Hangul automata program module. This paper introduces design and implementation details of our authoring tool for Hangul soft keyboard running in Android. The tool supports the user to build an unique soft keyboard easily. The authoring tool downloads the soft keyboard app to the user's smartphone and makes it run immediately.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.580-581
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• 2021

There are various Location-Based Services(LBS) that apply GPS technology in mobile devices such as smart-phone and tablet. In this paper, we designed non-face-to-face oriented LBS software in the reality that non-face-to-face services are increasing due to COVID-19. The proposed model searches location information for trading goods or services and utilizes information identified in real time. The proposed scheduling and priority control algorithm provides efficient service allocations and simulation was performed based on web/app to verify this. While commercialized LBS platforms focus on used goods transactions, the designed method is different in that it provides non-face-to-face services and not-direct transactions between individuals. It provides a wide range of transactions and services to users such as small business owners and franchises.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.529-538
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• 2023

At the present time when the need for universal artificial intelligence education is expanding and job changes are being made, research and discussion on artificial intelligence liberal arts education for non-majors in universities who experience artificial intelligence as part of their job is insufficient. Although artificial intelligence education courses for non-majors are being operated, they are mainly operated as theory-oriented education on the concepts and principles of artificial intelligence. In order to understand the general concept of artificial intelligence for non-majors, it is necessary to proceed with experiential learning in parallel. Therefore, this study designs artificial intelligence experiential education learning contents of difficulty that can reduce the burden of artificial intelligence classes with interest in learning by considering the characteristics of non-majors. After, we will examine the learning effect of experiential education using App Inventor and the Orange artificial intelligence platform. As a result of analysis based on the learning-related data and survey data collected through the creation of AI-related projects by teams, positive changes in the perception of the need for AI education were found, and AI literacy skills improved. It is expected that it will serve as an opportunity for instructors to lay the groundwork for designing a learning model for artificial intelligence experiential education learning.

• KIPS Transactions on Software and Data Engineering
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• v.1 no.1
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• pp.19-30
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• 2012

The context aware service is the service to provide useful information to the users by recognizing surroundings around people who receive the service via computer based on computing and communication, and by conducting self-decision. But CAS(Context Awareness System) shows the weak point of small-scale context awareness processing capacity due to restricted mobile function under the current mobile environment, memory space, and inference cost increment. In this paper, we propose a mobile cloud context system with using Google App Engine based on PaaS(Platform as a Service) in order to get context service in various mobile devices without any subordination to any specific platform. Inference design method of the proposed system makes use of knowledge-based framework with semantic inference that is presented by SWRL rule and OWL ontology and Jess with rule-based inference engine. As well as, it is intended to shorten the context service reasoning time with mapping the regular reasoning of SWRL to Jess reasoning engine by connecting the values such as Class, Property and Individual which are regular information in the form of SWRL to Jess reasoning engine via JessTab plug-in in order to overcome the demerit of queries reasoning method of SparQL in semantic search which is a previous reasoning method.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.8
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• pp.555-564
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• 2013

Innovative evolution in mobile devices along with recent spread of Tablet PCs and Smart Phones makes a new change not only in individual life but also in enterprise applications. Especially, in the case of medium-large mobile applications for large enterprises which generally takes more than 3 months of development periods, importance and complexity increase significantly. Generally Agile-methodology is used for a development process for the medium-large scale mobile applications, but some issues arise such as high dependency on skilled developers and lack of detail development directives. In this paper, S-MADP (Smart Mobile Application Development Process) is proposed to mitigate these issues. S-MADP is a service oriented development process extending a object-oriented development process, for medium-large scale mobile applications. S-MADP provides detail development directives for each activities during the entire process for defining services as server-based or client-based and providing the way of reuse of services. Also, in order to support various user interfaces, S-MADP provides detail UI development directives. To evaluate the performance of S-MADP, three mobile application development projects were conducted and the results were analyzed. The projects are 'TBS(TB Mobile Service) 3.0' in TB company, mobile app-store in TS company, and mobile groupware in TG group. As a result of the projects, S-MADP accounts for more detailed design information about 'Minimizing the use of resources', 'Service-based designing' and 'User interface optimized for mobile devices' which are needed to be largely considered for mobile application development environment when we compare with existing Agile-methodology. Therefore, it improves the usability, maintainability, efficiency of developed mobile applications. Through field tests, it is observed that S-MADP outperforms about 25% than a Agile-methodology in the aspect of the required man-month for developing a medium-large mobile application.