• The Transactions of the Korean Institute of Electrical Engineers P
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• v.59 no.1
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• pp.1-9
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• 2010

This paper summarizes an education and training system for the auto-reclosing of power transmission system using a real time digital simulator. The system is developed to understand the principle of reclosing and the sequence of automatic reclosing schemes, and practice the effects of reclosing actions to power system in real-time simulator. This study is concentrated into the following two parts. One is the development of real time education and training system of automatic reclosing schemes. For this, we use the RTDS(real time digital simulator) and the actual digital protective relay. The mathematical relay model of RTDS and the actual distance relay which is equipped automatic reclosing function are also used. The other is the user friendly interface between trainee and trainer. The various interface displays are used for user handing and result display. The conditions of automatic reclosing which is a number of reclosing, reclosing dead time, reset time, and so on, can be changed by the user interface panel. A number of scenario cases are reserved for the education and training. Through the test, we verified that the proposed system can be effectively used to accomplish the education and training of automatic reclosing.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.452-462
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• 2017

This study proposes community based web service for contents providers and web designers to provide user-centered approach on Wordpress theme search and customizstion process. The contents and structure of theme information is analyzed and online communities on programming and Wordpress are studied to development of community based, theme contents service scenario. As a result, I launched 'Themettack' web service, I took beta testing with 20 users for 2 weeks, and found that theme template image and ideal theme contest services are the most satisfactory experiences. Various community contents which tested in this study and user participation data provided proper directions of Wordpress theme service as open source platform.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.288-300
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• 2006

In this paper, we consider a channel ordering problem that seeks to minimize the total interference in mobile radio networks. If a base station receives connection request from a mobile user, one of the empty channels that are fixed to the base station is assigned to the mobile user. Among several channels available, we can choose one that seems to make least interference with other channels assigned to adjacent base stations. However, a pair of channels that are not separated enough do not generate interference if both of them are not simultaneously used by mobile users. That is, interference between channels may vary depending on the channel assignment sequence for each base station and on the distribution of mobile users. To find a channel assignment sequence that seems to generate minimum interference, we develop an optimization model considering various scenarios of mobile user distribution. Simulation results show that channel assignment sequence determined by the scenario based optimization model significantly reduces the interference provided that scenarios and interference costs are properly generated.

• Proceedings of the KSPS conference
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• 2007.05a
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• pp.41-44
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• 2007

In this paper, we introduce a system in which car navigation scenario is plugged multimodal interface based on multimodal middleware. In map-based system, the combination of speech and pen input/output modalities can offer users better expressive power. To be able to achieve multimodal task in car environments, we have chosen SCXML(State Chart XML), a multimodal authoring language of W3C standard, to control modality components as XHTML, VoiceXML and GPS. In Network Manager, GPS signals from navigation software are converted to EMMA meta language, sent to MultiModal Interaction Runtime Framework(MMI). Not only does MMI handles GPS signals and a user's multimodal I/Os but also it combines them with information of device, user preference and reasoned RDF to give the user intelligent or personalized services. The self-simulation test has shown that middleware accomplish a navigational multimodal task over multiple users in car environments.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.6 no.1
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• pp.37-43
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• 2012

We conducted a user-centered usability testing on the Android-based Mobile Augmentative Alternative Communication(AAC) Software. In this paper, we examined functionality, satisfaction, and ease of information searching for a specific function using a task scenario, and we investigated appropriateness of development purposes, contents, instructional strategies, usability, functions of management mode, and user interface of the mobile AAC to the communication needs of children who are nonverbal. We also examined user requirements, preference, satisfaction, and other personal opinions for the mobile AAC using an open feedback. In addition, we investigated users' preference for the size of mobile devices using 4.3", 5.0", and 7.0" mobile devices.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.6
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• pp.702-706
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• 2010

In this paper, we propose a framework to change local devices to networked devices by using web browser. Network devices will be used in the virtual desktop. Management software maintains a pool of devices to manage network devices. Whenever user's request is occured, virtual desktop s/w which manages desktop's I/O access device pool. Then virtual desktop s/w selects proper device and forwards I/O to desktop. In this paper, we choose RIA solution for install-free environment. Consequently, user easily enrolls and revokes their devices. User easily commands virtual desktop s/w. In the second half of this paper, we explain usage scenario and evaluate our framework to show efficiency and flexibility of the framework.

• Journal of Internet Computing and Services
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• v.11 no.4
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• pp.85-94
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• 2010

In this paper, we propose a location-prediction structure that can provide user service in advance. It consists of seven steps and supplies intelligent services which can forecast user's location. Context information collected from physical sensors and a history database is so difficult that it can't present importance of data and abstraction of data because of heterogeneous data type. Hence, we offer the location-prediction that change data type from heterogeneous data to homogeneous data. Extracted data is clustered by SOFM, then it gets user's location information by ARIMA and realizes the services by a reasoning engine. In order to validate the proposed location-prediction, we built a test-bed and test it by the scenario.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.5
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• pp.1059-1068
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• 2017

Even though BioHashing scheme can effectively extract binary string key from analog biometrics templates, it shows lower performance in stolen-token scenario due to dependency of the token. In this paper, to overcome this limitation, we suggest a new method of generating security key from face image and user intervention. Using BioHashing and GPT schemes, our scheme can adjust dependency of PIN for user authentication and generate robust key with sufficient length. We perform various experiments to show performance of the proposed scheme.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.904-919
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• 2019

Many security systems rely solely on solutions based on Artificial Intelligence, which are weak in nature. These security solutions can be easily manipulated by malicious users who can gain unlawful access. Some security systems suggest using fingerprint-based solutions, but they can be easily deceived by copying fingerprints with clay. Image-based security is undoubtedly easy to manipulate, but it is also a solution that does not require any special training on the part of the user. In this paper, we propose a multi-factor security framework that operates in a three-step process to authenticate the user. The motivation of the research lies in utilizing commonly available and inexpensive devices such as onsite CCTV cameras and smartphone camera and providing fully secure user authentication. We have used technologies such as Argon2 for hashing image features and physically unclonable identification for secure device-server communication. We also discuss the methodological workflow of the proposed multi-factor authentication framework. In addition, we present the service scenario of the proposed model. Finally, we analyze qualitatively the proposed model and compare it with state-of-the-art methods to evaluate the usability of the model in real-world applications.

• Science of Emotion and Sensibility
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• v.24 no.1
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• pp.91-104
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• 2021

This study explored users' emotional states identified from the wake-up words -"Hi, KIA!"- using a machine learning algorithm considering the user interface of passenger cars' voice. We targeted four emotional states, namely, excited, angry, desperate, and neutral, and created a total of 12 emotional scenarios in the context of car driving. Nine college students participated and recorded sentences as guided in the visualized scenario. The wake-up words were extracted from whole sentences, resulting in two data sets. We used the soundgen package and svmRadial method of caret package in open source-based R code to collect acoustic features of the recorded voices and performed machine learning-based analysis to determine the predictability of the modeled algorithm. We compared the accuracy of wake-up words (60.19%: 22%~81%) with that of whole sentences (41.51%) for all nine participants in relation to the four emotional categories. Accuracy and sensitivity performance of individual differences were noticeable, while the selected features were relatively constant. This study provides empirical evidence regarding the potential application of the wake-up words in the practice of emotion-driven user experience in communication between users and the artificial intelligence system.