• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.9
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• pp.1997-2002
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• 2012

Smart phones mixed with mobile devices and computers are biggest change of information technology and user-installed applications of them provide various information and services which were only possible on PC and Internet in the past. They are expected to be used by thirty million people in 2012 and people with disabilities can get easily information and location of disabled facilities using them. In this paper, we design a mobile information service system for person with disabilities, which provides various information and location of disabled facilities. We build information of disabled facilities using acquisition information through existing web sites and provide location based service with user's location. We also implement and service the proposed system and we show efficiency of our system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.324-327
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• 2006

The person who gets a ALS(Amyotrophic Lateral Sclerosis) has language disability and physical disability together. A common first symptom is a painless weakness in a hand, foot, arm or leg, which occurs in more than half of all cases. Other early symptoms include muscle weakness of speech. In the early stage of this disease they can communicate with other persons, but it will become increasingly difficult. In our research we have designed and implemented communication tools for them. We have implemented Chunjiin(the Korean computer keyboard) at PDA(personal digital assistant). And we have also implemented software which is consisted of frequently used words.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.6
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• pp.684-690
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• 2018

In society of the big data is being recognized as one of the core technologies witch is analysis of the collected information, the intelligent evolution of society seems to be more oriented society through an optimized value creation based on a prediction technique. If we take advantage of technologies based on big data about various data and a large amount of data generated during system operation, it will be possible to support stable operation and prevention of faults and failures. In this paper, we suggested an environment using the collection and analysis of big data, and proposed an derive time series prediction model for predicting failure through server performance monitoring for data collected and analyzed. It can be capable of supporting stable operation of the IT systems through failure prediction model for the server operator.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.121-126
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• 2023

As service utilization for IT technologies such as artificial intelligence, big data, and IOT has recently increased, cloud computing has been introduced to efficiently manage vast amounts of data and IT infrastructure resources that process them to provide stable and reliable information services while streamlining infrastructure costs. Efforts for this are ongoing. This thesis compares and analyzes the operation results before and after cloud adoption in terms of system failures for 426 systems at 360 branches nationwide in cloud systems of companies operating a total of 1,750 cloud systems. As a result of the analysis, the number of failures and failure types , service downtime, etc., the introduction of the cloud yielded significant results in securing service continuity. Through this result, it is expected to provide meaningful implications to companies expecting to secure service continuity by adopting the cloud.

• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.663-670
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• 2024

Recently, policies have been implemented to establish a digital-based delivery system and provide AI-based education for students with disabilities. In this study, three ICT-related subjects (common_Information/Technology, basic_Information Communication Utilization) within the special education curriculum were examined according to digital literacy analysis standards. As a result of the study, understanding and use of digital technology (194, 52.7%) appeared most frequently in the special education curriculum. Detailed competencies include tech_computing system (1.1, 52, 14.1%), tech_software utilization (1.2, 46, 12.5%), tech_latest technology issues (1.6, 45, 12.2%) & attitude_respect for life consciousness (2.1, 45, 12.2%) appeared most frequently in that order. This study shows that digital literacy education for students with disabilities needs to be improved into a balanced curriculum that can help students with disabilities develop civic and ethical awareness to adapt to the digital environment and develop digital thinking capabilities for self-directed problem solving. presented.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.105-106
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• 2016

본 논문에서는 방범용 CCTV 시스템의 빈번한 장애를 처리하는데 원격지 방문으로 소요되는 시간과 인력의 소모를 개선하기 위해 모니터링 및 단순장애 자가 처리 기능을 탑재한 방범용 CCTV를 위한 지능형 모니터링 시스템을 제안한다. 지능형 모니터링 시스템은 센서 모듈에서 측정된 값을 지능형 모니터링 모듈에서 취합하고 모니터링 하여 자가 처리 여부를 판단하고, 이에 따라 제어모듈과 통신하거나 상황실에 알림 등의 여부를 판단하여, 네트워크를 통해 원격으로 방범용 CCTV의 상태를 모니터링하고 장애발생을 예측하여 자가 처리 하거나 원격 처리할 수 있다.

• 한국정보교육학회:학술대회논문집
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• 2010.01a
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• pp.101-107
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• 2010

컴퓨터와 통신 기술이 발달한 정보화 사회의 현실에서 웹 기반의 프로그램 및 모바일은 중요한 매체로서 자리잡아가고 있다. 읽기는 정보 획득에서 가장 중요한 학습능력이나 학습장애아의 대부분이 읽기능력에서 문제를 가지고 있다. 오늘날 컴퓨터의 발달은 아동의 언어교육 특히 읽기 교육을 위해서 시간과 공간의 제약을 넘어 자주적으로 학습할 수 있는 모바일 활용 학습을 가능하게 하고 있다. 본 논문의 목적은 학습장애아들의 읽기 능력을 향상하기 위한 PREP 기반의 모바일 시스템을 설계하는 데 있다. 본 시스템을 통해 첫째, 학습장애아들의 읽기 능력 프로그램이 특수교사, 일반교사, 학생과 상호협력 할 수 있는 프로그램을 제공함으로써 학습장애아의 읽기 능력에 대한 진전도를 점검하고 학습능력을 향상시킬 수 있도록 설계하였다. 둘째, 학습자의 개별적 수준에 따라 수준별 학습을 제공하여 다양한 학생의 개별적 수준을 충족할 수 있도록 설계함으로써 학습장애아동의 읽기능력 향상에 기여할 수 있다. 셋째, 모바일 기기를 통해 공간적, 시간적 제약을 벗어남으로써 기존의 PREP 프로그램을 적용하는 것보다 효과적으로 읽기 능력을 향상시킬 수 있다.

• Annual Conference of KIPS
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• 2023.05a
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• pp.420-422
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• 2023

본 연구는 웨어러블 디바이스를 활용하여 장애인 재활운동 보조를 위한 AI 기반의 맞춤형 서비스 개발을 소개한다. 해당 서비스는 웨어러블 디바이스를 장착한 상태로 운동 중인 사용자의 심박수, 소모 칼로리, 운동 시간 등의 센서 데이터를 수집 및 관리한다. 사용자 생체 데이터는 클라이언트 서버 간 실시간 통신으로 관리되며, django rest framework 로 구축된 서버에 저장된다. 제안 시스템을 통해 수집된 데이터는 시계열 군집화 분석을 위해 k-means clustering 과 k-shape clustering 을 활용하여 체력 평가의 핵심 지표인 심박수를 분석하였다. 특히, 상대적으로 운동이 어려운 장애인 사용자를 위한 맞춤형 운동능력 분석 및 해석에 대한 정보 제공이 가능하다.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.3
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• pp.321-325
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• 2008

Void areas(holes) as an inevitable phenomenon exist in geographic routing of wireless sensor networks, because the unpredictable and harsh nature application environment or uneven energy consumption. Most of the existing schemes for the issue tend to construct a static detour path to bypass a hole. The static detour path may lead to uneven energy consumption of the nodes on the perimeter of the hole; thus it may enlarge the hole. At the same time, traffic would concentrate on the peripheral node of the hole; thus the nodes on the perimeter of the hole tend to be depleted quietly. In previous work, we have proposed a hole geometric model to reduce the energy consumption and packet collisions of the nodes on the hole boundary. This scheme, however, still has the static detour path problem. Therefore, we extend the previous work by constructing a dynamic detour path hole geometric model for wireless sensor networks in this paper. The location of hole detour anchors is dynamically shifted according to Gaussian function, just generating dynamic hole detour paths.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.258-264
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• 2022

The smart farm for livestock, in which information and communication technology (ICT) is combined with livestock farm, is mostly based on the cloud computing paradigm. A cloud-based smart livestock farm has disadvantages such as increased response time, burden on cloud resource caused by the increased number of IoT sensors, traffic burden on the network, and lack of failure resilience mechanisms through collaboration with adjacent IoT devices. In this paper, with these problems in mind, we propose an IoT collaboration system based on edge computing. By using the relatively limited computing resources of the edge device to share the cloud's web server function, we aim to reduce the cloud's resources needed and improve response time to user requests. In addition, through the heartbeat-based failure recovery mechanism, IoT device failures were detected and appropriate measures were taken.