• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.193-206
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• 2021

Artificial Intelligence (AI) has been inserted into people's lives through Intelligent Virtual Assistants (IVA), like Alexa. Moreover, intelligent systems have expanded to design studios. This research delves into designers' perspectives on developing AI-based practices and examines the challenges of adopting future intelligent design assistants. We surveyed UX/UI professionals in Brazil to understand how they use IVAs and AI design tools. We also explored a scenario featuring the use of Alexa Sensei, a hypothetical voice-controlled AI-based design assistant mixing Alexa and Adobe Sensei characteristics. The findings indicate respondents have had limited opportunities to work with AI, but they expect intelligent systems to improve the efficiency of the design process. Further, majority of the respondents predicted that they would be able to collaborate creatively with AI design systems. Although designers anticipated challenges in natural language interaction, those who already adopted IVAs were less resistant to the idea of working with Alexa Sensei as an AI design assistant.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.259-264
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• 2014

Digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. In 2011, The Government introduced "IT Convergence Technology Prediction Survey 2025". Smart mobility is a main factor in smart city which is main example of convergence. A intelligent transport system(ITS) is a key factor of smart mobility. The conventional transport systems include road, car, signal systems. But the ITS is a transport system containing additional technologies such as electronics, control, communication to increase traffic safety and effectiveness of traffic facilities. In this paper, we described intelligent transport system related with our life.

• Electronics and Telecommunications Trends
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• v.22 no.5
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• pp.12-23
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• 2007

유비쿼터스 사회에서는 언제, 어디서나 네트워크에 연결하여 다양한 형태의 실감 정보를 제공 받아 더욱더 풍요로운 삶을 누릴 수 있을 것이다. 이것은 음성인식 및 영상합성 생성기술, 입체 영상/음향 입?출력기술, IT-NT-BT 기술융합의 가속화로 지능형 실감형 정보처리는 물론 휴먼정보 등의 다양한 정보처리가 가능한 유비쿼터스 휴대 단말기에 의해서 실현될 것이다. 휴대 단말기에서 반도체는 약 $40{\sim}50%$의 비중을 차지하는 가장 중요한 부품이며, 다양한 지능형 실감형 정보를 처리하기 위하여 막대한 양의 데이터를 처리할 수 있는 저전력 고성능 반도체 SoC 개발이 필수적이다. 본고에서는 휴대 단말기에 사용되는 SoC 기술 및 재구성형 프로세서 기술 동향을 파악함으로써, 유비쿼터스 단말기에서 필수적으로 사용될 반도체 SoC 기술의 발전 방향에 대해서 전망해 보았다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.11
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• pp.47-56
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• 2010

In navigation, officers receive data about inside and outside of ship from several devices(ex, GPS / AIS / ECDIS / ARPA Radar / etc) in bridge, and use it to recognize and predict safety situations. However, observation work of a officer is still hard for a torrent of data from several devices, and the problem of inconsistent data among the devices. In previous research, we presented the conceptual model of Intelligent Navigation Safety Information System based on information fusion, and showed the example of the conceptual model using CF (Certainty Factor) expert system to solve this problem. The information fusion technology needs various reasoning skills, and CF expert system is not enough to express ambiguous or indefinite factors. In this paper, we propose the concept of an intelligent navigation information fusion using fuzzy expert system to describe the ambiguous factors, and show the validity of applying fuzzy expert system to the Navigation Safety Information System through the design and implementation of the proposed concept.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.67-75
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• 2022

Medical information is variously generated not only from medical devices but also from electronic devices. Recently, related convergence technologies from big data collection in healthcare to medical AI products for patient's condition analysis are rapidly increasing. However, there are difficulties in applying them because of independent developmental procedures. In this paper, we propose an intelligent hospital information system (iHIS) model to simplify and integrate research, development and application of medical AI technology. The proposed model includes (1) real-time patient data management, (2) specialized data management for medical AI development, and (3) real-time monitoring for patient. Using this, real-time biometric data collection and medical AI specialized data generation from patient monitoring devices, as well as specific AI applications of camera-based patient gait analysis and brain MRA-based cerebrovascular disease analysis will be introduced. Based on the proposed model, it is expected that it will be used to improve the HIS by increasing security of data management and improving practical use through consistent interface platformization.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.108-114
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• 2019

In this paper, we propose an intelligent vocabulary recommendation agent that automatically provides vocabulary corresponding to game-based learners' needs and requirements in the mobile education augmented reality game environment. The proposed agent reflects the characteristics of mobile technology and augmented reality technology as much as possible. In addition, this agent includes a vocabulary reasoning module, a single game vocabulary recommendation module, a battle game vocabulary recommendation module, a learning vocabulary list Module, and a thesaurus module. As a result, game-based learners' are generally satisfied. The precision of context vocabulary reasoning and thesaurus is 4.01 and 4.11, respectively, which shows that vocabulary related to situation of game-based learner is extracted. However, In the case of satisfaction, battle game vocabulary(3.86) is relatively low compared to single game vocabulary(3.94) because it recommends vocabulary that can be used jointly among recommendation vocabulary of individual learners.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.11-22
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• 2022

Recently, research and development using various Artificial Intelligence (AI) technologies are being conducted in the field of education. Among the AI in Education (AIEd), conversational agents are not limited by time and space, and can learn more effectively by combining them with various AI technologies such as voice recognition and translation. This paper conducted a trend analysis on platforms that have a large number of users and used conversational agents for English learning among commercialized application. Currently commercialized educational platforms using conversational agent through trend analysis has several limitations and problems. To analyze specific problems and limitations, a comparative experiment was conducted with the latest pre-trained large-capacity dialogue model. Sensibleness and Specificity Average (SSA) human evaluation was conducted to evaluate conversational human-likeness. Based on the experiment, this paper propose the need for trained with large-capacity parameters dialogue models, educational data, and information retrieval functions for effective English conversation learning.

• Annual Conference of KIPS
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• 2011.04a
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• pp.669-672
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• 2011

최근 IT(Information Technology)와 타(他)산업 간의 융 복합이 촉진되면서 새로운 융합서비스로 사물지능 통신(M2M, Machine to Machine)이 차세대 지능형 인프라 기반의 핵심 서비스로 부각되고 있다. 사물지능 통신은 기존의 통신 인프라를 활용하여 사물정보의 수집, 가공, 처리를 통해 최종 서비스를 제공하는 기술 분야로 PHY, MAC, 라우팅에 대한 기술 이슈보다는 서비스 관점에서의 네트워크 아키텍처 정의와 기능, 서비스 플랫폼 간의 연동, M2M 단말과 네트워크 간의 인터페이스에 대한 연구가 진행 중이다. 본 논문에서는 사물지능통신 융합서비스를 사용자에게 보다 편리하게 제공하기 위한 기존 플랫폼 간의 연동을 위한 요구사항과 방안을 제안한다.

• Electronics and Telecommunications Trends
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• v.28 no.4
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• pp.107-117
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• 2013

군사용 로봇은 국방 IT 융합의 대표적인 적용 사례로 인간을 대신하거나 보조하며, 군사작전을 수행하는 지능형 로봇이다. 특히 테러와의 전쟁 속에 비정규전으로 많은 희생자들이 발생하면서 전쟁에 대한 비난여론이 확산되자 사람 대신 전쟁을 치루는 로봇은 당당한 주역으로 부상하고 있다. 군대는 로봇에 점점 의존하고 있고, 육상.해상.공중을 가리지 않고 로봇의 활용도는 커지고 있으며, 로봇을 도입하는 군대가 전투력에서 우위를 점하고 있다. 현재 군사용 로봇은 미국, 유럽, 러시아, 중국, 이스라엘, 한국 등을 중심으로 활발히 개발되고 있다.

• Journal of the Korean Society of Industry Convergence
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• v.9 no.1
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• pp.79-86
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• 2006

In this study, we research and develope Intelligent Remote management controller. According to the load condition, we will apply various control techniques and plan high efficient Demand control. After development, According to the Demand Control, An electricity enterprisers will expect enlargement of equipment coefficient, elevation of back up load factor and reduction effect of equipment investment. On Customer side, They will expect reduction of electric fee, saving energy and variety of service choice.