• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2081-2085
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• 2013

The purpose of this study is to investigate the usability and user interface in different types of mobile phones. KLM(key-stroke-level model) model estimation and observation values were calculated to perform 11 functional factors in 4 ordinary mobile phones and 4 smart phones. In results, it was found that the usability of ordinary phone is superior to smart phone in basic and simple function likes phone call. On the contrary, the usability of smart phone is superior to memorizing and picturing function. Current results can be used to anticipate the future effort to improve user interface design especially in smart phone.

• Journal of Korea Multimedia Society
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• v.18 no.12
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• pp.1569-1577
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• 2015

Recently, the development of IT technology, utilization of smart devices 3-5-year-old infants Upon smart device penetration rate per household increases has also sharply increased. In this paper, the educational contents for kid are considered and implemented by reflecting this trend. Content that has been produced in this paper are based on learning theory of constructivism, was to be performed naturally learn the content of the table-top display of applying the NUI technology. Also, the content creation that can help you learn infants through experiments crafted tabletop display interface content, it is believed to be the basis for the improvement of usability.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.303-312
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• 2012

In this paper we investigate the factors influencing the intention to use of smart-phone mobile banking service in China. We include the characteristics of smart-phone, mobile banking service, and users to the research model and also consider user satisfaction as an intervening variable. We try to find and prove the factors influencing the intention to use of smart-phone mobile banking service by surveying 206 chinese users and using structural equation model. This empirical paper proves that mobility, instance connectivity, use convenience, and intimacy give positive effects to intention to use of smart-phone mobile banking service. In addition, this paper indicates some managerial implications that mobility, access speed and the easy user interface can help to increase the degree of user acceptance.

• Smart Media Journal
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• v.1 no.4
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• pp.18-26
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• 2012

The increase of the number of smartphone applications has enforced the importance of new user interface emergence and has raised the interest of research in the convergence of multiple sensors. In this paper, we propose a method for the convergence of acceleration, magnetic and gyro sensors to recognize the gesture from motion of user smartphone. The proposed method first obtain the 3D orientation of smartphone and recognize the gesture of hand motion by using HMM(Hidden Markov Model). The proposed method for the representation for 3D orientation of smartphone in spherical coordinate was used for quantization of smartphone orientation to be more sensitive in rotation axis. The experimental result shows that the success rate of our method is 93%.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.71-78
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• 2022

Recently, the number of people wishing to return to farming is increasing, However, the lack of farming experience and management information of returnees is one of the main reasons for increasing the probability of agricultural failure. This study proposes an interface to support early facility cultivation management decision-making for returnees who want facility cultivation. The proposed interface is designed with UML(Unified Modeling Language) and provides key decision-making information such as land/crop suitability, land/facility costs, and management costs according to input data such as cultivation areas, selected crops, and cultivation types selected by the user. Through the proposed interface, facility cultivators can effectively and quickly acquire initial decision-making information for facility cultivation in the desired target area.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.5-8
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• 2011

스마트 스페이스들이 주거환경에 적용되면서 많은 주거환경들이 스마트 홈으로 구축이 되고 있다. 이러한 스마트 홈에서는 주거민의 편의성과 안락함을 추구하는 방향으로 다양한 연구가 이루어지고 있다. 본 연구에서는 이러한 스마트 홈 환경에서 주거환경을 제어하기 위한 새로운 User Interface를 제안한다. 제안하는 인터페이스는 스마트 홈에서 가장 활발하게 사용될 수 있는 홈 서버와 개인의 스마트 폰에서 동작하게 되며 이러한 각각의 환경에 적합한 인터페이스를 설계하였다. 이렇게 설계된 인터페이스를 사용자 테스트를 통하여 검증하였으며 이에 대한 결과와 정성적인 평가 결과에 대해서 기술한다.

• JSTS:Journal of Semiconductor Technology and Science
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• v.17 no.1
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• pp.162-166
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• 2017

Earliest virtual deadline zero laxity (EVDZL) algorithm is proposed for mobile GPU schedulers for its improved responsiveness. Responsiveness of user interface (UI) is one of the key factors in evaluating smart devices because of its significant impacts on user experiences. However, conventional GPU schedulers based on completely fair scheduling (CFS) shows a poor responsiveness due to its algorithmic complexity. In this letter, we present the EVDZL scheduler based on the conventional earliest deadline zero laxity (EDZL) algorithm by accommodating the virtual laxity concept into the scheduling. Experimental results show that the EVDZL scheduler improves the response time of the Android UI by 9.6% compared with the traditional CFS scheduler.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.55-62
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• 2022

A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

• The Journal of the Acoustical Society of Korea
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• v.35 no.4
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• pp.272-279
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• 2016

In this paper, the realization of a hearing aid adaptively cancelling feedback noise was considered. Conventional least mean square method in time domain was transformed into frequency domain in order to minimize computational burden. The adaptive filter algorithm was evaluated by Matlab (Matrix laboratory), and it was confirmed by CSR 8675 Bluetooth DSP IC (Digital Signal Processor Integrated Circuit) chip firmware realization. Some remote control features by a smart phone was added to the smart hearing aid for user interface easiness.

• Journal of Integrative Natural Science
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• v.9 no.3
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• pp.199-205
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• 2016

In this paper, we established ZIGBEE home network and combined smart-grid and u-Healthcare system. We assisted for amount of electricity management of household by interlocking home devices of wireless sensor, PLC modem, DCU and realized smart grid and u-Healthcare at the same time by verifying body heat, pulse, blood pressure change and proceeded living body signal by using SVM algorithm and variety of ZIGBEE network channel and enabled it to check real-time through IHD which is developed by user interface. In addition, we minimized the rate of energy consumption of each sensor node when living body signal is processed and realized Query Processor which is able to optimize accuracy and speed of query. We were able to check the result that is accuracy of classification 0.848 which is less accounting for average 17.9% of storage more than the real input data by using Mjoin, multiple query process and SVM algorithm.