• 재활복지
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• v.21 no.4
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• pp.1-31
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• 2017

This study identities various types of subjective perception of hearing-impaired persons on sign language interpretation using Q-methodology in an attempt to explore ways for developing more useful sign language interpretation services for them. For this purpose, 35 statements are extracted based on literatures and in-depth interviews and Q-classification is conducted for 20 interviewees. The results identify a common perception on the provision of sign language interpreter to frequently used institutions of hearing-impaired persons. They also derive three distinguished types of perception: seeking specialization of sign language interpretation, seeking traditional sign language interpretation services and seeking expansion and improvement of sign language interpretation services. Based on the results, the study suggests residence of sign language interpreters in public facilities, improvements of qualification system and education and training courses, specialization by field and improvement of the practice of sign language interpretation services, provision of customized services to the elderly and use of sign language interpreters reflecting the needs of the users.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.571-580
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• 2022

Marine deposited waste is a major cause of problems such as a lot of damage and an increase in the estimated amount of garbage due to abandoned fishing grounds caused by ghost fishing. In this paper, we implement a real-time marine deposited waste detection artificial intelligence system to understand the actual conditions of waste fishing gear usage, distribution, loss, and recovery, and study methods for performance improvement. The system was implemented using the yolov5 model, which is an excellent performance model for real-time object detection, and the 'data screening process' and 'class segmentation' method of learning data were applied as performance improvement methods. In conclusion, the object detection results of datasets that do screen unnecessary data or do not subdivide similar items according to characteristics and uses are better than the object recognition results of unscreened datasets and datasets in which classes are subdivided.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.262-267
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• 2007

퍼지 ART 알고리즘에서 경계 변수는 패턴들을 클러스터링하는데 있어서 반지름 값이 되며 임의의 패턴과 저장된 패턴과의 불일치(mismatch) 허용도를 결정한다. 이 경계 변수가 크면 입력 벡터와 기대 벡터 사이에 약간의 차이가 있어도 새로운 카테고리(category)로 분류하게 된다. 반대로 경계 변수가 작으면 입력 벡터와 기대 벡터 사이에 많은 차이가 있더라도 유사성이 인정되어 입력 벡터들을 대략적으로 분류한다. 따라서 영상 인식에 적용하기 위해서는 경험적으로 경계 변수를 설정해야 단점이 있다. 그리고 연결 가중치를 조정하는 과정에서 학습률의 설정에 따라 저장된 패턴들의 정보들이 손실되는 경우가 발생하여 인식율을 저하시킨다. 본 논문에서는 퍼지 ART 알고리즘의 문제점을 개선하기 위하여 퍼지 논리 접속 연산자를 이용하여 경계 변수를 동적으로 조정하고 저장 패턴들과 학습 패턴간의 실제적인 왜곡 정도를 충분히 고려하여 승자 노드로 선택된 빈도수를 학습률로 설정하여 가중치 조정에 적용한 개선된 퍼지 ART 알고리즘을 제안하였다. 제안된 방법의 성능을 확인하기 위해서 실제 영문 명함에서 추출한 영문자들을 대상으로 실험한 결과, 기존의 ART1과 ART2 알고리즘이나 퍼지 ART 알고리즘보다 클러스터의 수가 적게 생성되었고 인식 성능도 기존의 방법들보다 우수한 성능이 있음을 확인하였다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.526-535
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• 2005

우리나라의 주민등록증은 주소지, 주민등록 변호, 얼굴사진, 지문 등 개개인의 방대한 정보를 가진다. 현재의 플라스틱 주민등록증은 위조 및 변조가 쉽고 날로 전문화 되어가고 있다. 따라서 육안으로 위조 및 변조 사실을 쉽게 확인하기가 어려워 사회적으로 많은 문제를 일으키고 있다. 이에 본 논문에서는 주민등록증 영상을 자동 인식할 수 있는 개선된 ART2 기반 RBF 네트워크와 얼굴인증을 이용한 주민등록증 자동 인식 방법을 제안한다. 제안된 방법은 주민등록증 영상에서 주민등록번호와 발행일을 추출하기 위하여 영상을 소벨마스크와 미디언 필터링을 적용한 후에 수평 스미어링을 적용하여 주민등록번호와 발행일 영역을 검출한다. 그리고 4 방향 윤곽선 추적 알고리즘으로 개별 문자를 추출하기 위한 전 단계로 주민등록증 영상에 대해 고주파 필터링을 적용하여 주민등록증 영상 전체를 이진화 한다. 이진화된 주민등록영상에서 COM 마스크를 적용하여 주민등록번호와 발행일 코드를 복원하고 검출된 각 영역에 대해 4 방향 윤곽선 추적 알고리즘으로 개별 문자를 추출한다. 추출된 개별 문자는 개선된 ART2 기반 RBF 네트워크를 제안하여 인식에 적용한다. 제안된 ART2 기반 RBF 네트워크는 학습 성능을 개선하기 위하여 중간충과 출력층의 학습에 퍼지 제어 기법을 적용하여 학습률을 동적으로 조정한다. 얼굴인증은 템플릿 매칭 알고리즘을 이용하여 얼굴 템플릿 데이터베이스를 구축하고 주민등록증애서 추출된 얼굴영역과의 유사도를 측정하여 주민등록증 얼굴 영역의 위조여부를 판별한다.

• 한국벤처창업학회:학술대회논문집
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• 2020.06a
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• pp.135-139
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• 2020

2019년 장애인경제활동실태조사에 따르면 장애인의 고용률은 35%, 실업률은 6.6%로 우리나라 전체 경제 활동 인구의 고용률 61.5%, 실업률 4.4%와 비교할 때 매우 낮은 수준을 보여주고 있다. 상대적으로 저조한 장애인의 취업 및 고용 상황을 개선하기 위하여 정부 주요 부처에서 활발한 노력을 하고 있으나, 장애인의 고용환경은 여전히 열악하여 장애인의 낮은 경제활동 참가율, 직종 선택의 제한, 지원 고용에 비해 낮은 일반고용률, 비정규직 치중 등 열악한 고용 형태의 질적 개선 등 장애인고용에 대한 정책적 지원이 더 개선되고 발전되어야 함을 내포하고 있다. 그에 따른 대안으로 장애인 창업이 주목을 받고 있다. 그러나 창업은 비장애인조차도 성공하기가 어렵고 실패할 확률이 높다. 장애인 창업의 경우 장애라는 특성으로 인해 실패할 경우 재기하기 어려운 상황에 처해질 가능성이 비장애인보다 높다. 따라서 장애인 창업의 특성을 고려하여 성공 창업 요소를 파악할 필요가 있으며, 그에 영향을 미치는 요인들에 관한 연구는 시급한 상황이다. 본 연구의 목적은 비장애인들을 대상으로 이루어진 기회 인식, 창업 의도, 기업가정신에 관한 선행 연구의 연구 결과를 바탕으로 장애인 창업자의 창업의지에 미치는 영향요인을 규명해 보고자 한다. 특히 장애인 창업자의 기회인식과 창업의지 사이에서 기업가 정신(혁신성, 위험 감수성, 진취성)의 매개효과를 검증하며, 이 과정에서 창업자의 창업 의도를 고취시킬 수 방안에 관해 논의해 보고자 한다.

• Journal of the Korean earth science society
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• v.45 no.3
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• pp.260-276
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• 2024

The purpose of this study is to explore whether pre-service teachers majoring in earth science improve their perception of computational thinking through STEAM classes focused on engineering-based wave power plants. The STEAM class involved designing the most efficient wave power plant model. The survey on computational thinking practices, developed from previous research, was administered to 15 Earth science pre-service teachers to gauge their understanding of computational thinking. Each group developed an efficient wave power plant model based on the scientific principal of turbine operation using waves. The activities included problem recognition (problem solving), coding (coding and programming), creating a wave power plant model using a 3D printer (design and create model), and evaluating the output to correct errors (debugging). The pre-service teachers showed a high level of recognition of computational thinking practices, particularly in "logical thinking," with the top five practices out of 14 averaging five points each. However, participants lacked a clear understanding of certain computational thinking practices such as abstraction, problem decomposition, and using bid data, with their comprehension of these decreasing after the STEAM lesson. Although there was a significant reduction in the misconception that computational thinking is "playing online games" (from 4.06 to 0.86), some participants still equated it with "thinking like a computer" and "using a computer to do calculations". The study found slight improvements in "problem solving" (3.73 to 4.33), "pattern recognition" (3.53 to 3.66), and "best tool selection" (4.26 to 4.66). To enhance computational thinking skills, a practice-oriented curriculum should be offered. Additional STEAM classes on diverse topics could lead to a significant improvement in computational thinking practices. Therefore, establishing an educational curriculum for multisituational learning is essential.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.4
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• pp.61-67
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• 2011

In these days, RFID adoption in supply chain management system needs technically part of the performance improvement of RFID Anti-Collision technology. We contrived new scanning algorithm that improve RFID Anti Collision performance, also can be applied to existing RFID readers. In this paper, the proposed algorithm were applied to the actual logistics scene recognition performance much better than the existing practices are presented. For improve of RFID Anti Collision performance, our algorithm implemented in the middleware associated with RFID PDA readers, and actually mount the RFID inventory data from the experiment were accumulated. Through this experiment, the proposed algorithm was confirmed that helps to minimize unaware area of the existing RFID inventory system and significantly improves performance of RFID field solution.

• The Journal of the Acoustical Society of Korea
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• v.9 no.4
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• pp.66-76
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• 1990

In this work, the effect of noise and distortion of a telephone channel on the speech recognition is studied, and methods to improve the recognition rate are proposed. Computer simulation is done using the 100-word test data whichwere made by pronouncing ten times 100-phonetically balanced Korean isolated words in a speaker dependent mode. First, a spectral subtraction method is suggested to improve the noisy speech recognition. Then, the effect of bandwidth limiting and channel distortion is studied. It has been found that bandwidth limiting and amplitude distortion lower the recognition rate significantly, but phase distortion affects little. To reduce the channel effect, we modify the reference pattern according to some training data. When both channel noise and distortion exist, the recognition rate without the proposed method is merely 7.7~26.4%, but the recognition rate with the proposed method is drastically increased to 76.2~92.3%.

• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.119-128
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• 2002

This paper proposes an efficient recognition method of car license plate from the car images by using both the dynamical thresholding and the neural network with enhanced learning algorithm. The car license plate is extracted by the dynamical thresholding based on the structural features and the density rates. Each characters and numbers from the p]ate is also extracted by the contour tracking algorithm. The enhanced neural network is proposed for recognizing them, which has the algorithm of combining the modified ART1 and the supervised learning method. The proposed method has applied to the real-world car images. The simulation results show that the proposed method has better the extraction rates than the methods with information of the gray brightness and the RGB, respectively. And the proposed method has better recognition performance than the conventional backpropagation neural network.

• Korean Journal of Social Welfare Studies
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• v.43 no.1
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• pp.229-247
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• 2012

This research has analyzed the options of improving 'National Basic Livelihood Security Program' and factors influencing on them, focusing on the 345 social welfare officials' recognition and assessment of the program. As a result of the analysis, some difference has been identified in the assessment of respective options in accordance with how social welfare officials recognize and assess the program and its recipients. The assessments as to the options of improving restrictions on the able-bodied poors, implementation of the individual benefit method, and so forth were shown differently according to the age; years of service; amount of work; rationality of the criteria for selecting recipients; levels of payment by the 'National Basic Livelihood Security Program'; possibility of the recipients' exit from poverty; achievements of the self-supporting program; and evaluation of the program improvement efforts of the government. Based on this result of analysis, key tasks and improvement options for the 'National Basic Livelihood Security Program' have been explored on the occasion of the 10th anniversary of the program.