• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.133-144
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• 2020

The number of elderly people with dementia is increasing as fast as the proportion of older people due to aging, which creates a social and economic burden. In particular, dementia care costs, including indirect costs such as increased care costs due to lost caregiver hours and caregivers, have grown exponentially over the years. In order to reduce these costs, it is urgent to introduce a management system to care for dementia patients. Therefore, this study proposes a sensor-based abnormal behavior detection system to manage dementia patients who live alone or in an environment where they cannot always take care of dementia patients. Existing studies were merely evaluating behavior or evaluating normal behavior, and there were studies that perceived behavior by processing images, not data from sensors. In this study, we recognized the limitation of real data collection and used both the auto-encoder, the unsupervised learning model, and the LSTM, the supervised learning model. Autoencoder, an unsupervised learning model, trained normal behavioral data to learn patterns for normal behavior, and LSTM further refined classification by learning behaviors that could be perceived by sensors. The test results show that each model has about 96% and 98% accuracy and is designed to pass the LSTM model when the autoencoder outlier has more than 3%. The system is expected to effectively manage the elderly and dementia patients who live alone and reduce the cost of caring.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.117-119
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• 2016

본 논문에서는 IOT 서비스와 접목하여 사회적 약자를 보호할 수 있는 시스템에 대해 제안하고자 한다. 최근 사회적 약자(영유아, 노인, 환자 등) 대상의 보호시설 내부에서 폭행 사건이 빈번하게 발생하고 있다. 안전해야 할 보호시설(보육시설 및 요양원, 실버타운)에서 발생하는 문제로 인해 보호자들은 기관을 신뢰할 수 없게 되었고 이는 매출감소 및 이미지 악화 등의 연쇄적인 사회적 문제로 발전하고 있다. 이러한 문제를 감소시키고자 방범용 CCTV, 녹음 어플리케이션의 사용이 해결책으로서 제시되고 있지만, 폐쇄적인 시스템 구조로 인해 기록의 은폐 및 추가적인 병리 현상 발생의 가능성이 염려 되어 근본적인 문제 해결이 어렵다고 판단되었다. 그래서 보호시설 내부에 비콘과 영상장비를 설치하고 웨어러블과 같은 모바일 디바이스를 활용하여 보호자가 피보호자(사회적 약자)의 위치를 실시간으로 파악하고 상태를 볼 수 있도록 하는 휴먼케어시스템의 개발을 제안하고자 한다.

• Journal of the Korea Computer Graphics Society
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• v.21 no.1
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• pp.1-11
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• 2015

Researchers have developed virtual reality environments to provide audience with more visually immersive experiences than previously possible. One of the most popular solutions to build the immersive VR space is a multi-projection technique. However, utilization of multiple projectors requires large spaces, expensive cost, and accurate geometry calibration among projectors. This paper presents a novel omnidirectional projection system with a single projector and a single spherical mirror.We newly designed the simple and intuitive calibration system to define the shape of environment and the relative position of mirror/projector. For successful image projection, our optimized omnidirectional image generation step solves image distortion produced by the spherical mirror and a calibration problem produced by unknown parameters such as the shape of environment and the relative position between the mirror and the projector. Additionally, the focus correction is performed to improve the quality of the projection. The experiment results show that our method can generate the optimized image given a normal panoramic image for omnidirectional projection in a rectangular space.

• 한국노년학
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• v.30 no.4
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• pp.1263-1280
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• 2010

The present study describes the acculturation meaning of 12 Chinese-Chosun residential care attendants(RCAs) who are currently working in long-term care settings for Korean older adults. Using a qualitative research method, the findings show that the acculturation process of Chinese-Chosun RCAs consists of three stages: entrance, conflict, and adaptation. In the initial stage, the assets of the social and cultural networks among their friends and relatives, who already settled down or employed as RCAs, provided more opportunities for being employed as a RCA. However, most Chinese-Chosun RCAs experienced a number of conflicts while they adapted to mainstream society and perform caregiving tasks. They perceived discrimination, heavy workload, prejudice, and homesick. Nevertheless, they appeared to adapt effectively to Korean society and working environments because they were aware of the various benefits of working as a RCA such as higher wage and more job openings compared to other jobs, a rapport with the patients and patients' families, flexible work hours, and pride as a caregiver. This type of qualitative groundwork will be an important precursor to the design, implementation, and evaluation of acculturation research for minority immigrant workers in the Korean social welfare system.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.10
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• pp.309-316
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• 2020

We predict the mortality of the elderly patients visiting the emergency department who are over 65 years old using Feed Forward Neural Network (FFNN) and Convolutional Neural Network (CNN) respectively. Medical data consist of 99 features including basic information such as sex, age, temperature, and heart rate as well as past history, various blood tests and culture tests, and etc. Among these, we used random forest to select features by measuring the importance of features in the prediction of mortality. As a result, using the top 80 features with high importance is best in the mortality prediction. The performance of the FFNN and CNN is compared by using the selected features for training each neural network. To train CNN with images, we convert medical data to fixed size images. We acquire better results with CNN than with FFNN. With CNN for mortality prediction, F1 score and the AUC for test data are 56.9 and 92.1 respectively.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.275-280
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• 2019

Roger Deakens is one of the best director of photography in the world. He has been worked with Joel Coen & Ethan Coen since (1991). He was nominated for Academy award 13 times. At last, he won the 2018 Academy Award for Best Pictures of the Year. This article aim to look at his style of photography, which he has consistently pursued, and how he controls and implements light. Focusing on The Assassination of Jess James by the coward Robert Ford>,, .

• Journal of KIISE:Software and Applications
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• v.31 no.4
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• pp.420-438
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• 2004

Artificially or naturally contained texts in the natural images have significant and detailed information about the scenes. If we develop a method that can extract and recognize those texts in real-time, the method can be applied to many important applications. In this paper, we suggest a new method that extracts the text areas in the natural images using the low-level image features of color continuity. gray-level variation and color valiance and that verifies the extracted candidate regions by using the high-level text feature such as stroke. And the two level features are combined hierarchically. The color continuity is used since most of the characters in the same text lesion have the same color, and the gray-level variation is used since the text strokes are distinctive in their gray-values to the background. Also, the color variance is used since the text strokes are distinctive in their gray-values to the background, and this value is more sensitive than the gray-level variations. The text level stroke features are extracted using a multi-resolution wavelet transforms on the local image areas and the feature vectors are input to a SVM(Support Vector Machine) classifier for the verification. We have tested the proposed method using various kinds of the natural images and have confirmed that the extraction rates are very high even in complex background images.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.127-133
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• 2020

This paper deals with the development of a smart mirror to support changing hair styles. A key function of the service is the ability to synthesize the image into the user's face when the user chooses a desired hair image and virtually styling the hair. To check the effectiveness of the hair image synthesis function, the success rate measurement experiment of Haar-cascade algorithm's facial recognition was conducted. Experiments have confirmed that the facial recognition succeeds with a 95 percent probability, with both eyes and eyebrows visible to the subjects. It is the highest success rate. It confirmed that if either of the eyebrows of the subjects are not visible or one eyeball is covered, the success rate of facial recognition is 50% and 0% respectively.

• Journal of Elementary Mathematics Education in Korea
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• v.11 no.2
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• pp.199-216
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• 2007

The purpose of the present study was to analyze the types of errors made by students in the figure domain at the stages of first and second semester of 4th grade in elementary school that include the definition and the properties of figure, to identify the causes of such errors, and to help the teaching of the 4th grade figure domain. When the trends of errors were analyzed for each question, the most common error was the wrong use of theorems or definitions, and its main causes were student's low level in geometry and limited concept images. Thus, it is necessary to make them have clear understanding of these concepts and terms and students need to do various activities suitable for their level in geometry. In addition, figure images presented in the mathematics textbooks and the mathematics practice book have limitations. Thus, figures of various positions and lengths should be presented and described accurately, and the books should be redesigned for various practical activities.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.3 s.303
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• pp.73-82
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• 2005

Recently, The wide range of the Internet applications and the related technology developments enabled the ease use of the digital multimedia contents (fixed images, movies, digital audios). However, due to the replay ability which the contents may be easily duplicated and not only the duplicates are capable of providing the same original quality. There are mainly the encipher techniques and the watermarking techniques which are studied and used as solutions for the above problem in order to protect the license holders' rights. To the protection of the IP(Intellectual Property) rights of the owner, digital watermarking is the technique that authenticates the legal copyrighter. This paper proposed the watermarking algorithms to watermark the 256 gray logo image and the color image by applying the wavelet transformation to the color stand-still images. The proposed algorithms conducted the watermark insertion at the LH frequency region among the wavelet transformation regions (LL, LH, HL, HH). The interleaving algorithms which applied in data communication was applied to the watermark. the amount of watermark increased which consequently caused the PSNR to decrease but this might provide the perseverance against the external attacks such as extraction, filtering, and crop.