• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.694-701
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• 2016

The smart phone application to provide auto identification and answer explanation of multiple choice answer for each OMR answer item in the test paper different from ordinary OMR test by using smart phone is very useful in terms of a self learning and a smart learning. In this paper, smart phone application of OMR mark identification for each question item in test paper is proposed. QR code for each OMR answer is provided for the encrypted correct answer and the reference location of multiple choice answer rectangle location. The OMR answer region is extracted and the marked answer is identified in each question of test paper, in order to compare between the marking answer and the correct answer. Experimental result of smart phone application of the proposed algorithm for the OMR answer images with various size and direction shows excellent recognition performance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.6
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• pp.1312-1317
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• 2003

This paper presents an integrated approach to unconstrained face recognition in arbitrary scenes. The front end of the system comprises of a scale and pose tolerant face detector. Scale normalization is achieved through novel combination of a skin color segmentation and log-polar mapping procedure. Principal component analysis is used with the multi-view approach proposed in[10] to handle the pose variations. For a given color input image, the detector encloses a face in a complex scene within a circular boundary and indicates the position of the nose. Next, for recognition, a radial grid mapping centered on the nose yields a feature vector within the circular boundary. As the width of the color segmented region provides an estimated size for the face, the extracted feature vector is scale normalized by the estimated size. The feature vector is input to a trained neural network classifier for face identification. The system was evaluated using a database of 20 person's faces with varying scale and pose obtained on different complex backgrounds. The performance of the face recognizer was also quite good except for sensitivity to small scale face images. The integrated system achieved average recognition rates of 87% to 92%.

• Journal of radiological science and technology
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• v.40 no.4
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• pp.557-565
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• 2017

This study was conducted to investigate the radiation protection, awareness, and attitude of radiological technologists in the mammography room due to the low energy use of breast imaging. Data collection was performed by 222 independent radiological technologists in the breast and breast clinic of six hospitals except Jeju Island. The independent sample t-test and oneway variance analysis were performed. As a result, it was found that the lower the number of men(p<0.05), the age of 30s(p<0.05), the marriage(p<0.05), the work experience of more than 10 years(p<0.05), the working hours of 8 hours(p<0.01), the less the impact of radiation(p<0.01), the more important it was to radiation defense. appear. This is thought to be influenced by the work specificity and work environment of the mammography room, and it will be used as a basic data to raise awareness and act on the exposure through analysis with other factors.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.4
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• pp.677-686
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• 2023

In this paper, we study the design and implementation of a smart home outing care system that recognizes the user's purpose of going out and delivers useful information that can help when going out. RSS service data of the Korea Meteorological Administration can be transmitted in real time using ESP8266, and a system that can provide weather information to users after analyzing the data using Arduino MEGA is implemented. Using App Inventor, you can pack the necessary items without forgetting, and you can change the settings according to the desired weather and purpose. The position of the microphone was placed outside to increase awareness by 12%, and the sensitivity of the pressure sensor was set to a maximum of 210 kΩ. If there is an obstacle between the doors, the doors open automatically. An ultrasonic sensor was placed on the ceiling of the drawer to recognize an object within the range of 0.5cm to 10cm to check the existence of an object, and a camera was installed to research a security reinforcement system.

• Journal of Broadcast Engineering
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• v.27 no.1
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• pp.91-103
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• 2022

Determination of sound source characteristics such as: sound volume, direction and distance to the source is one of the important techniques for unmanned systems like autonomous vehicles, robot systems and AI speakers. There are multiple methods of determining the direction and distance to the sound source, e.g., using a radar, a rider, an ultrasonic wave and a RF signal with a sound. These methods require the transmission of signals and cannot accurately identify sound sources generated in the obstructed region due to obstacles. In this paper, we have implemented and evaluated a method of detecting and identifying the sound in the audible frequency band by a method of recognizing the volume, direction, and distance to the sound source that is generated in the periphery including the invisible region. A cross-shaped based sound source recognition algorithm, which is mainly used for identifying a sound source, can measure the volume and locate the direction of the sound source, but the method has a problem with "blind spots". In addition, a serious limitation for this type of algorithm is lack of capability to determine the distance to the sound source. In order to overcome the limitations of this existing method, we propose a QRAS-based algorithm that uses rectangular-shaped technology. This method can determine the volume, direction, and distance to the sound source, which is an improvement over the cross-shaped based algorithm. The QRAS-based algorithm for the OSSD uses 6 AITDs derived from four microphones which are deployed in a rectangular-shaped configuration. The QRAS-based algorithm can solve existing problems of the cross-shaped based algorithms like blind spots, and it can determine the distance to the sound source. Experiments have demonstrated that the proposed QRAS-based algorithm for OSSD can reliably determine sound volume along with direction and distance to the sound source, which avoiding blind spots.

• Journal of Korean Dental Hygiene Science
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• v.6 no.2
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• pp.161-172
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• 2023

Background: The purpose of this study is to assess the degree of self-awareness, recognition of others, and adaptation to college life of dental hygiene students, and to identify the factors affecting college life adjustment. Methods: The effect size was calculated using the G*power 3.1.9.4 program, based on the data of 191 people who agreed to participate in the questionnaire. Independent samples t-test, one way ANOVA, Post HOC Scheffe, correlation analysis, and multiple regression analysis were conducted to explore the difference and correlation between self-awareness, perception of others, and college life adjustment according to general characteristics. Results: A significant positive correlation was found in self-awareness (r=.301). The highest positive correlations were with social adjustment in both private (r=.340) and public self-awareness (r=.331) (p<0.01). Recognition of others (r=-.051) showed a negative correlation with college life adjustment, though it was not statistically significant. As factors for adapting to college life, private self-awareness (β=.232) and public self-awareness (β=.254) had a positive (+) effect, and internal self-awareness (β=-.205) was found to have a negative (-) effect (p<0.01) Conclusion: The self-awareness and recognition of others among dental hygiene students influence their smooth adjustment to college life. Improvement measures are recommended to enhance adaptability to college life and develop core competencies related to their major

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.2
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• pp.136-140
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• 2014

This paper introduces a multi-touch recognition and tracking method for self capacitive TSP(Touch Screen Pannel). Self capacitive TSP recognizes finger touches by sensing capacitive change of ITO transparent conducting film arranged by rows and columns on the TSP pannel. They have some advantages such as high SNR, fast sensing, and simple touch processing, but have very difficulties for multi-touch processing. This disadvantage makes that the mutual capacitive TSPs, which have no such disadvantage, have been more widely used especially for multi-touch applications. However, since the other applications for remote control pad or recently developed wearable devises have only restrictive requirements for multi-touch, the disadvantage of self capacitive TSP is not a critical problem. In this paper, we first describe multi-touch recognition problems in self capacitive TSP and then propose how to overcome those problems and a tracking method of two touches when they are moving. Experimental results of our method showed that our algorithm works well in two touches.

• Journal of The Korean Association of Information Education
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• v.22 no.3
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• pp.317-324
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• 2018

This study analyzes elementary school teachers' perception of Artificial Intelligence, educational effect, and necessity in education. To analyze teachers' perceptions, we developed questionnaires with expert advice. We collected questionnaires for 151 elementary school teachers. The collected data were analyzed by t-test and one-way ANOVA. As a result, AI' perceptions of female teachers were lower than those of male teachers and the necessity of education was less. Teachers with experience in leading schools recognized that AI education would help to improve creativity. Teachers who have a lot of teaching experience, many experience in SW education, the experience in SW education have a high interest in AI and understand the relevance of the subject. We expect that this study will help the direction of SW education.

• The Journal of the Acoustical Society of Korea
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• v.41 no.6
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• pp.647-654
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• 2022

Although the fields in which is utilized children's speech recognition is on the rise, the lack of quality data is an obstacle to improving children's speech recognition performance. This paper proposes a new method for improving children's speech recognition performance by additionally using adult speech data. The proposed method is a transformer based domain adversarial training using dynamically weighted loss to effectively address the data imbalance gap between age that grows as the amount of adult training data increases. Specifically, the degree of class imbalance in the mini-batch during training was quantified, and the loss function was defined and used so that the smaller the data, the greater the weight. Experiments validate the utility of proposed domain adversarial training following asymmetry between adults and children training data. Experiments show that the proposed method has higher children's speech recognition performance than traditional domain adversarial training method under all conditions in which asymmetry between age occurs in the training data.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.397-399
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• 2005

무선 센서노드를 활용한 다양한 네트워크 설계 기술은 실생활의 각종 정보 수집에서부터 환경 모니터링까지 폭넓은 활용범위를 바탕으로 저전력 노드 설계 기술, 노드간 라우팅 프로토콜, 초소형 운영체제 및 미들웨어기술 등 관련 연구가 활발히 수행되고 있으며, 실내 센서네트워크에 분포된 노드의 절대위치를 측정하는 위치인식 시스템은 노드의 이동성, 다수성 그리고 환경의 제약성으로 인해 이를 보완할 시스템이 요구되고 있다. 이에 본 논문에서는 고정 센서노드의 배치밀도에 따라 위치정보를 선별적으로 처리하는 위치데이터 처리기와 다중 위치데이터의 발생을 원천적으로 차단하는 노드간 라우팅 기법을 통해, 센서노드의 이동성과 다중성을 효과적으로 보완하는 실내 이동객체 위치인식 시스템을 설계하고 서비스 구현을 위한 센서네트워크 플랫폼을 제안한다.