• 제목/요약/키워드: 장애인 소프트웨어

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Expiration Date Notification System Based on YOLO and OCR algorithms for Visually Impaired Person (YOLO와 OCR 알고리즘에 기반한 시각 장애우를 위한 유통기한 알림 시스템)

  • Kim, Min-Soo;Moon, Mi-Kyung;Han, Chang-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1329-1338
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    • 2021
  • There are rarely effective methods to help visually impaired people when they want to know the expiration date of products excepted to only Braille. In this study, we developed an expiration date notification system based on YOLO and OCR for visually impaired people. The handicapped people can automatically know the expiration date of a specific product by using our system without the help of a caregiver, fast and accurately. The proposed system is worked by four different steps: (1) identification of a target product by scanning its barcode; (2) segmentation of an image area with the expiration date using YOLO; (3) classification of the expiration date by OCR: (4) notification of the expiration date by TTS. Our system showed an average classification accuracy of about 86.00% when blindfolded subjects used the proposed system in real-time. This result validates that the proposed system can be potentially used for visually impaired people.

An HCI Technology for the Tetraplegic and Its Applications (사지마비 장애인을 위한 HCI 기술 및 그 응용)

  • Jeong, Hyuk;Kim, Jong-Sung;Son, Wook-Ho;Kim, Young-Hoon
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.40-45
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    • 2006
  • 본 연구에서는 사지마비 장애인이 활용할 수 있는 동작을 이용하여 마우스, 문자 입력, 전동휠체어 제어 등에 활용될 수 있는 인터페이스 기술을 개발하였다. 사지마비 장애인이 활용 가능하면서도 착용이 쉽고 데이터 처리가 용이한 동작으로서 이물기 동작을 제안하였다. 좌측, 우측 및 양측 이물기 동작 및 이물기 시간의 조절을 통해 사지마비 장애인의 경우에도 다양한 명령어 형성이 가능하다. 이때, 이물기 동작의 인식은 관자놀이 부근에 위치한 관자근에서의 근전도 신호를 이용하였다. 본 연구에서는 데이터를 획득하여 전송하고 처리하기 위한 하드웨어와 소프트웨어를 함께, 전동휠체어 제어를 위한 응용 시스템도 개발하였다. 또한 개발된 시스템을 사지마비 장애인에게 적용하여 그 효용성을 평가하였다.

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Development of hybrid monitoring framework for fault detectability enhancement on IT-System (IT 시스템 장애탐지력 향상을 위한 하이브리드 모니터링 프레임워크 개발)

  • Park, Sok-Hwan;Son, Jiseong;Baik, Doo-Kwon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.1203-1206
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    • 2012
  • 본 논문은 다양한 기기로 구성된 분산 IT 환경에서 보다 신속한 장애 탐지 및 원인 파악을 위한 Monitoring framework을 제안한다. 제안된 Framework은 전통적인 Event Correlation 기법과 전통적 기법의 문제점 해결을 위한 Probing 기법을 혼용한(Hybrid) 것인데, 이를 통해 각각의 기법이 지닌 한계를 극복하고, 장애탐지 능력을 향상시킨다. 즉, Event Correlation 기법은 임계영역에서 장애 판별이 어려운 문제점이 있는데, 이러한 경우 장애 여부를 확신하기 위해 Probe station을 이용하여 Probe를 실행함으로써 장애 판단 능력을 향상시켰다. 또한 Probing 기법은 복잡한 분산 IT 환경에서 Probe Set를 구성하는 어려움이 있는데, 이를 회피하는데 도움을 준다. 본 논문에서는 Web 기반 애플리케이션에서 User-Session을 기반으로 추출한 Http Packet를 Probe set으로 이용하여 구현하였다.

Implementation of Signboard Voice Guidance Service for Visually Impaired Person Using Virtual Beacon (가상비콘을 이용한 시각장애인 대상 간판 음성 안내 구현)

  • Lee, Yunho;Park, Kwangjung;Kwon, Soon-Kak
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.6
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    • pp.1-8
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    • 2018
  • In this paper, we implement the signboard voice guidance service for visually impaired person using virtual beacon. The new location to provide a location-based service can be added easily by using virtual beacons, which are locating by Wi-fi, GPS, and so on, instead of physical beacons, which are locating by physical devices. We provide the voice service for guiding information of the captured signboard for the visually impaired when he arrived at the location registered through the virtual beacon.

Development of the Social Story Application Designed to Improve the Social Skills of Students with ASD (자폐성장애 학생의 사회적 기술 향상을 위한 상황이야기 애플리케이션 개발)

  • Kim, Sori;Kang, Ock-Ryeo
    • Journal of Creative Information Culture
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    • v.5 no.3
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    • pp.329-343
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    • 2019
  • This study designed, developed and evaluated an application to improve the social skills of students with Autism Spectrum Disorders(ASD) based on the stage of the ADDIE model. The design stage aimed to factor in the characteristics and needs of students with ASD, and created guide maps and story boards accordingly. In the development stage, the application was made through a total of fourteen processes and four official tests. In the evaluation stage, heuristic usability evaluation was conducted on 10 teachers based on the their experience of using the application in the implementation stage. The results of the evaluation were all close to 'very good' in the areas of educational value, content implementation technology, content information and convenience. Finally, the application was fully developed after reflecting the corrections in accordance with the result of the usability evaluation. It is expected that this study have a role in invigorating the development of special educational software content.

An Availability Model for Active/Active Cluster Systems (Active/Active 클러스터 시스템의 가용도 모델)

  • Park, Kie-Jin;Kim, Sung-Soo
    • The KIPS Transactions:PartC
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    • v.8C no.2
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    • pp.173-181
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    • 2001
  • 하드웨어 기술의 발전으로 인해 컴퓨터 하드웨어의 결함 발생률은 상수 값이거나 점차 작아지는 경향이 있다. 반면에 하드웨어에 탑재된 소프트웨어의 복잡성 및 크기는 이전에는 상상할 수 없을 정도로 방대해져가고 있기 때문에, 소프트웨어의 결함 발생으로 인한 컴퓨터 시스템의 장애 발생 가능성은 점차 더 높아지고 있다. 본 논문에서는 Active/Active 클러스터 시스템의 가용도 개선을 위해서 소프트웨어적인 결함 발생을 미연에 방지할 수 있는 능동적 결함허용 기법인 소프트웨어 재활(rejuvenation) 방법에 대하여 연구하였다. 소프트웨어 재활 과정 및 여분서버로 작업전이(switchover) 과정을 semi-Markov 프로세스로 모델링 한 후, 수학적 분석을 통해 구한 Active/Active 클러스터 시스템의 bud형 상태 확률을 이용하여, 다양한 운영 조건하의 가용도 및 손실비용을 계산하였으며, 이를 통하여 소프트웨어 재활을 통한 Active/Active 클러스터 시스템의 가용도 개선 가능성을 확인하였다.

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The Design of Executive Flight Software CSC for KOMPSAT-2 (다목적실용위성 2호 Executive 탑재소프트웨어 모듈 설계)

  • 최종욱;이재승;이종인
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10b
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    • pp.262-264
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    • 2003
  • 다목적실용위성 2호에 탑재 되어 있는 탑재소프트웨어는 위성의 자세, 전력, 열 제어 및 지상 명령 수신, 측정 데이터 수집 등 여러 개의 소프트웨어 모듈로 구성되어 있으며, 각 소프트웨어 모듈은 실시간 운용체제인 VRTX에 의해서 제어된다. 다목적실용위성 2호에서 사용하는 탑재소프트웨어는 일반적인 소프트웨어와 달리 고도의 신뢰성과 안정성을 보장해야 하며 지상과의 통신이 없는 상태에서도 위성을 정상적으로 운용할 수 있어야 하며, 위성 시스템의 장애가 발생시 위성을 안전 모드로 전환 할 수 있어야한다. 본 논문에서는 다중프로세서 구조를 갖는 다목적실용위성 2호의 탑재소프트웨어 초기화 및 태스크를 관리하며 위성의 Health 관리를 담당하는 Executive CSC(Computer Software Component)의 설계와 구현에 대하여 설명한다.

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Development of Item on Feeding Assessment for Children With Cerebral Palsy : Delphi Survey (뇌성마비 아동의 섭식 평가 항목 개발 : 델파이 연구)

  • Seo, Sang-Min;Yoo, Eun Young;Park, Hae Yean;Hong, Ickpyo;Kim, Sung-Hoon;Kim, Jong-Bae
    • Therapeutic Science for Rehabilitation
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    • v.11 no.3
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    • pp.51-64
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    • 2022
  • Objective : The purpose of this study is to establish the domain for assessment of feeding disorder with cerebral palsy. In addition, it is to develop item on feeding assessment for feeding disorder on children with cerebral palsy Methods : Factors to be included in the assessment of feeding disorders in children with cerebral palsy based on the ICF classification criteria constituted the assessment domain through literature review. Results : Assessment items of feeding disorders in children with cerebral palsy were categorized into 6 domains. These were systematized through expert advice, and through the first and second Delphi surveys, nine middle categories, 32 sub-categories, and 76 items were confirmed. Conclusions : The results of this study are useful for occupational therapists who want to check the current feeding function and activity level during therapeutic interventions for children with cerebral palsy who have feeding disorders.

New developmental direction of telecommunications for Disabilities Welfare (장애인복지를 위한 정보통신의 발전방향)

  • 박민수
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.1
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    • pp.35-43
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    • 2000
  • This paper was studied on developmental direction of telecommunications for disabilities welfare. Method of this study is delphi method. Persons with disabilities is classed as motor disability, visual handicap, hearing impairment, and language and speech disorders. Persons with motor disability is needs as follow, speed recognition technology, video recognition technology, breath capacity recognition technology. Persons with visual handicap is needs as follow, display recognition technology, speed recognition technology, text recognition technology, intelligence conversion handling technology, video recognition - speed synthetic technology. Persons with hearing impairment and language - speech disorders is needs as follow, speed signal handling technology, speed recognition technology, intelligence conversion handling technology, video recognition technology, speed synthetic technology the results of this study is as follow: first, disabilities telecommunications organization must be constructed. Second, persons with disabilities in need of universal service. Third, Persons with disabilities in need of information education, Fourth, studying for telecommunications in need of support. Fifth, small telecommunications company in need of support. Sixth, software industry in need of new development. Seventh, Persons with disabilities in need of standard guideline for telecommunications.

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Machine Learning Process for the Prediction of the IT Asset Fault Recovery (IT자산 장애처리의 사전 예측을 위한 기계학습 프로세스)

  • Moon, Young-Joon;Rhew, Sung-Yul;Choi, Il-Woo
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.4
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    • pp.281-290
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    • 2013
  • The IT asset is a core part that supports the management objective of an organization, and the fast settlement of the IT asset fault is very important. In this study, a fault recovery prediction technique is proposed, which uses the existing fault data to address the IT asset fault. The proposed fault recovery prediction technique is as follows. First, the existing fault recovery data were pre-processed and classified by fault recovery type; second, a rule was established for the keyword mapping of the classified fault recovery types and reported data; and third, a machine learning process that allows the prediction of the fault recovery method based on the established rule was presented. To verify the effectiveness of the proposed machine learning process, company A's 33,000 computer fault data for the duration of six months were tested. The hit rate for fault recovery prediction was approximately 72%, and it increased to 81% via continuous machine learning.