• 인터넷정보학회논문지
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• 제2권4호
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• pp.101-109
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• 2001

최근의 화상 정보와 디지털 화상정보의 사용량은 무한히 커지고 있다. 하지만 이러한 화상정보는 인터넷과 CD-ROM등을 통해 수없이 많은 무단 복사와 저작권 피해 사례가 많이 발생되고 있다. 또한 워터마킹 방법에 의한 원본 데이터의 왜곡과 워터마크 데이터의 사용으로 인한 원본 데이터의 방대성 등의 문제점을 해결하고 검증을 위한 방법들이 여러 가지로 제안되고 있다. 그중 일반적으로 화상정보의 저작권 소유권에 대해서는 워터마킹 방법이 일반적으로 많이 사용되고 있다. 이런 워터마킹 방법은 화상정보의 검증 절차의 복잡성과 계산 량의 증가가 발생하는 경우가 많다. 본 논문에서는 이런 문제점을 해결할 수 있도록 정지 화상정보에 오토스테레오그램(Autosterogram)을 합성하면서 워터마킹 정보의 삽입과 추출에 있어서 발생되는 원 데이터의 변형, 왜곡을 방지하기 위해 삽입되는 정보의 양을 결정하는 scaling 파라미터를 부분적으로 최적화, 워터마크 정보 추출의 최대화, 복원 시 워터마크 정보를 극대화하는 방법에 대해 알아보았다.

• 동아시아식생활학회지
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• 제14권1호
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• pp.54-63
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• 2004

This study was accomplished to investigate the recognition and the using practices about food-nutrition labeling system of 20's consumers. Two hundred and fifty-four man and women were examined using the questionnaire. The results were as follows. 1. The degree of recognition of subjects about food-nutrition labeling system was low (43.3％) and the using practices were even lower (18.1％). 2. The items considered as important were in the order of shelf life, manufactured date and cost. 3. The confidence score to the food-nutrition labeling system of consumers was 3.2 and was higher in the females compared to males. 4. The preferred method of food-nutrition labeling was in the order of picture and graphic type method, table type method and descriptive type method. 5. The expected effects of the current food-nutrition labeling system were easy to select foods for the prevention of the adult diseases and diet therapy. From these results, we might propose the conclusion as follows: Food-nutrition labeling system might be a good source of nutrition information and the consumers'demand for disease-prevention and dietary purpose. Therefore, the agencies concerned should make an every effort for the successful implementation of food-nutrition labeling system.

• 한국중재학회지:중재연구
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• 제32권3호
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• pp.47-70
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• 2022

This paper studies legal regulation of the public policy exception in the Russian Federation and domestic judicial practice on the issue. It reviews current legislation and analyzes a number of recent court cases where an arbitral award rendered by a foreign arbitration body was refused recognition and enforcement based on public policy violation. By doing so, it contributes to the knowledge on the concept of public policy in the Russian legal system and how public policy can affect the process of recognition and enforcement of foreign arbitral awards on its territory. The review of court cases demonstrates different aspects of how the public policy exception can be applied by Russian arbitrazh courts. Such decisions can provide a clearer picture of the kinds of situation that can lead to invoking the public policy clause by the court. Also, it is of practical value as persons preparing to file a claim or to be a defendant in a Russian court can be required to present existing court decisions in support of their claim or defence.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2003년도 추계학술발표대회(상)
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• pp.224-227
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• 2003

컴퓨터와 공학 분야에서의 빠른 기술적 진보는 의료정보의 처리에 있어 새로운 패라다임을 제시함으로써 의료정보사회의 변화를 가속화시키고 있다. 본 논문에서는 단일 플랫폼에서 운영하기 위한 컴퓨터지원진단, 음성인식과 의료영상저장전송시스템의 통합을 제안한다. 단일 플랫폼에서 운영되는 통합시스템은 세 시스템의 장점을 최대로 하는 향상과 시너지효과를 가져왔다. 컴퓨터지원진단과 음성인식은 시간과 비용 절감 면에서 두드러진 개선을 가져왔으며, 제안한 시스템은 병원의 디지털화와 병원경영의 효율을 높일 수 있을 것이다.

• 전자공학회논문지CI
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• 제45권3호
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• pp.123-134
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• 2008

본 논문은 조명 변화에 강인한 실시간 얼굴인식 시스템을 제안한다. 이를 위하여 제안한 알고리즘에서는 다양한 조명 조건에서도 강인한 얼굴 영상의 지역적 구조 특징을 추출하고, 추출된 특징을 이용하여 외형기반 얼굴인식 방법을 수행하였다. 또한 실시간 얼굴인식 시스템의 경우 연속적으로 영상을 획득하는 동안 발생하는 블러링 된 영상, 측면영상 등 얼굴 인식에 적합하지 않은 영상에 대한 인식 결과를 출력하게 된다. 따라서 이러한 잘못된 인식 결과들을 제거하고, 프레임 사이의 연속된 인식 결과를 고려하여 인식결과를 출력함으로써 결과의 안정성을 확보할 수 있는 방법을 함께 제안한다. 실험 결과에서는 제안한 알고리즘의 조명변화에 대한 성능을 평가하기 위해 Yale database를 사용하여 기존 외형기반 알고리즘과 비교하였다. 그 결과 다양한 조명 조건에서의 인식률이 기존 방법보다 20% 정도 향상 되었다. 또한 연속적으로 영상을 취득하는 시스템에서 제안한 방법의 얼굴 인식 성능을 평가한 결과 매 프레임 결과를 출력하는 방법에 비해 안정적인 성능을 보였다.

• Asian Pacific Journal of Cancer Prevention
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• 제13권9호
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• pp.4215-4220
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• 2012

AML (Acute myeloid leukemia) is a form of blood cancer where growth of myeloid cells occurs in the bone marrow. The prognosis is poor in general for many reasons. One is the presence of leukaemia-specific recognition markers such as FLT3 (fms-like tyrosine kinase 3). Another name of FLT3 is stem cell tyrosine kinase-1 (STK1), which is known to take part in proliferation, differentiation and apoptosis of hematopoietic cells, usually being present on haemopoietic progenitor cells in the bone marrow. FLT3 act as an independent prognostic factor for AML. Although a vast literature is available about the association of FLT3 with AML there still is a need of a brief up to date overview which draw a clear picture about this association and their effect on overall survival.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.203-207
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• 2001

In this Paper, we propose the neural network based emotion recognition method for intelligently recognizing the human's emotion using CCD color image. To do this, we first acquire the color image from the CCD camera, and then propose the method for recognizing the expression to be represented the structural correlation of man's feature Points(eyebrows, eye, nose, mouse) It is central technology that the Process of extract, separate and recognize correct data in the image. for representation is expressed by structural corelation of human's feature Points In the Proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). Had separated complexion area using color-difference of color space by method that have separated background and human's face toughly to change such as external illumination in this paper. For this, we propose an algorithm to extract four feature Points from the face image acquired by the color CCD camera and find normalization face picture and some feature vectors from those. And then we apply back-prapagation algorithm to the secondary feature vector. Finally, we show the Practical application possibility of the proposed method.

• International Journal of Contents
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• 제11권1호
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• pp.1-6
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• 2015

The development of information and technology has brought plenty of changes to the educational environment. The prevalence of smart phones is particularly playing a huge role in shaping learning methods. Smart phones provide the opportunity to scan QR codes, which can greatly ease access to information. Due to a high recognition speed, recognition rate, and restoration rate, they can be useful tools for English teachers to use in their class. In this study, we suggest using QR codes for writing and picture descriptions. Based on this study, more research should invest in Technology Embedded English teaching models to create better English classes for students.

• International journal of advanced smart convergence
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• 제5권2호
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• pp.66-72
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• 2016

With the growing shift from traditional educational approaches and studying to the more digital classroom, using electronic textbooks and digital native's demand, there is a growing need to develop new methods for learn Kanji characters for children. The purpose of this study is to help children learn the basic Kanji by using stop motion and block methods, and approaching the basic Kanji character education with a more innovative and interactive smart phone APP. In the development of this smart phone App for children's Kanji character education proposed in this study, 100 basic Kanji characters for children are selected. These 100 characters are required for the stop motion animation production, where each selected Kanji is created as a stop-motion animation utilizing a variety of techniques, such as storytelling, to better engage children. The intelligent App is designed with image recognition technology, so that in the learning process children take a picture for the assembled block using their smart phone, the APP then recognizes whether it is assembled correctly, and then plays an animation corresponding to the assembled Kanji character.

• 디지털산업정보학회논문지
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• 제16권1호
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• pp.67-78
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• 2020

Typical security solutions such as intrusion detection system are not suitable for detecting advanced persistent attack(APT), because they cannot draw the big picture from trivial events of security solutions. Researches on techniques for detecting multiple stage attacks by analyzing the correlations between security events or alerts are being actively conducted in academic field. However, these studies still use events from existing security system, and there is insufficient research on the structure of the entire security system suitable for advanced persistent attacks. In this paper, we propose an attack path and intention recognition system suitable for multiple stage attacks like advanced persistent attack detection. The proposed system defines the trace format and overall structure of the system that detects APT attacks based on the correlation and behavior analysis, and is designed with a structure of detection system using deep learning and big data technology, etc.