• Proceedings of the Korea Water Resources Association Conference
• /
• 2020.06a
• /
• pp.191-191
• /
• 2020

현재 전 세계적으로 태풍, 지진, 홍수 등의 재해 피해가 빈번히 일어나고 있고, 4차 산업의 발달로 인한 AI기술을 활용하여 자연재해 전반을 예측 할 수 있는 시스템이 도입될 정도로 과학적으로 발전 되어진 반면에, 재난으로 인한 인명 피해 수를 저감 시키는 방향을 도모 하는 데에는 어려움이 있고, 국민들의 재난피해의식도 심각 하지 않은 추세이다. 이와 같은 문제점을 파악하기 위해 한국 국민 남녀 489명을 대상으로 재난위험인식에 대한 설문을 작성하여 조사를 진행하였다. 본 연구의 목적은 국민들의 재난 안전의 위험도에 대한 인식 수준이 어떠한지 분석하고, 영향 요인을 탐색 하는 데에 있고, 조사결과 안전취약계층은 스스로 대피 하는 데에 있어 큰 어려움이 있으며, 이중 여성은 남성에 비해 안전교육과 훈련의 접근성이 적음에 따라 위험도가 더 큰 것을 확인 할 수 있었다. 본 연구를 통해 재난 안전교육의 필요성을 가지고 재난 안전 시뮬레이션 프로그램이 구축되는 필요성이 있다고 사료되어지고, 미래에 자연재해 발생 시 문제점을 파악하고 인명피해 감소가 될 전망으로 기대가 된다.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.12
• /
• pp.3063-3068
• /
• 1997

In this paper, we have extended the generalization back-propagation algorithm to multi-layer polynomial higher order neural networks. The purpose of this paper is to describe various pattern recognition using polynomial higher-order neural network. And we have applied shift position T-C test pattern for invariant pattern recognition and measured generalization by mirror symmetry problem. simulation result shows that the ability for invariant pattern recognition increase with the proposed technique. Recognition rate of invariant T-C pattern is 90% effective and of mirror symmetry problem is 70% effective when the proposed technique is utilized. These results are much better than those by the conventional methods.

• The Journal of the Acoustical Society of Korea
• /
• v.11 no.2
• /
• pp.68-72
• /
• 1992

Recently, many researchers have studied the speaker recognition through the statistical processing method using Karhunen-Loeve Transform. However, the content of speaker's identity and the vocalization speed cause speaker recognition rate to be lowered. This parer studies the speaker recognition method using weighted orthogonal parameters which are weighted with eigen-values of speech so as to emphasize the speaker's identity, and optimal path which is made by DWP so as to normalize dynamic time feature of speech. To confirm this method, we compare the speaker recognition rate from this proposed method with that from the conventional statistical processing method. As a result, it is shown that this method is more excellent in speaker recognition rate than conventional method.

• Journal of Gifted/Talented Education
• /
• v.11 no.3
• /
• pp.155-173
• /
• 2001

The purpose of this study was to investigate the kindergarten and elementary school teachers' perception on the gifted children and the education for the gifted and the talented. One hundred and fifteen kindergarten teachers and 116 elementary school teachers participated in this study as subjects. Teachers perceptions on the gifted children were generally right, except the relationships between the giftedness and birth order, the domain-specificity of the creativity, and the physical growth, sense of humor, and the socio-economic status of the gifted children. Teachers perceptions on the education for the gifted and talented also were generally right. Especially the elementary school teachers perceptions were higher than those of the kindergarten teachers.

• Journal of KIISE:Software and Applications
• /
• v.27 no.12
• /
• pp.1174-1182
• /
• 2000

본 논문은 주행중인 자동차 환경에서 운전자의 안전성 및 편의성의 동시 확보를 위하여, 보조적인 스위치 조작 없이 상시 음성의 입, 출력이 가능한 시스템을 제안하였다. 이대 잡음에 강인한 threshold 값을 구하기 위하여, 1.5초마다 기준 에너지와 영 교차율을 변경하였으며 대역 통과 여과기를 이용하여 1차, 2차로 나누어 실시간 상태에서 자동으로, 정확하게 끝점 검출을 처리하였다. 또한 남성, 여성을 피치검출로 구분하여 모델을 선택하게 하였고, 주행중인 자동차 속도에 따라 가장 적합한 모델을 사용하기 위하여 Idle-40km, 40-80km, 80-100km로 구분하여 남성, 여성 모델을 각각 구분하여 인식할 수 있게 하였다. 그리고, 음성의 특징 벡터와 인식 알고리즘은 PLP 13차와 OSDP(one-Stage Dynamic Programming)을 사용하였다. 본 실험은 서울시내 도로 및 내부 순환도로에서 각각 속도별로 구분하여 화자독립 인식 실험을 한 결과 40-80km 상태에서 남자는 96.8%, 여자는 95.1%, 80-100km 상태에서는 남자 91.6%, 여자는 90.6%의 인식결과를 얻을 수 있었고, 화자종속 인식실험 결과 40-80km 상태에서 남자는 98%, 여자는 96%, 80-100km 상태에서는 남자는 96%, 여자는 94%의 높은 인식률을 얻었으므로, system의 유효성을 입증하였다.

• Journal of Korea Game Society
• /
• v.20 no.5
• /
• pp.13-20
• /
• 2020

Biometric technology with the advance of deep learning enabled the new types of content. Especially, face recognition can provide immersion in terms of convenience and non-compulsiveness, but most commercial content has limitations that are limited to application areas. In this paper, we attempted to overcome these limitations, implement content that can utilize face recognition technology based on realtime video feed. We used Unity engine for high quality graphics, but performance degradation and frame drop occurred. To solve them, we augmented Dlib toolkit and adjusted the resolution image.

• KIPS Transactions on Software and Data Engineering
• /
• v.7 no.2
• /
• pp.63-68
• /
• 2018

Interests in face recognition area have been increasing due to diverse emerging applications. Face recognition algorithm from a two-dimensional source could be challenging in dealing with some circumstances such as face orientation, illuminance degree, face details such as with/without glasses and various expressions, like, smiling or crying. Hopfield Network capabilities have been used specially within the areas of recalling patterns, generalizations, familiarity recognitions and error corrections. Based on those abilities, a specific experimentation is conducted in this paper to apply the Redundant Parallel Hopfield Network on a face recognition problem. This new design has been experimentally confirmed and tested to be robust in any kind of practical situations.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.4 s.42
• /
• pp.165-174
• /
• 2006

As context aware service supports a process of context acquisition and reasoning, there are many studies to facilitate the implementation of context aware service. However, these studies have not supported efficiently a user or service mobility that should be supported necessarily in ubiquitous computing environment. Therefore, this study proposes a dynamic context aware service model which supports a dynamic management of context information, service retrieval and composition for interactions between services, and service mobility. Then we design a middleware based on this model and implement the middleware. As the middleware is implemented on the OSGi framework. it can have an interoperability between the devices such as computers, PDA, home appliances, and sensors, because of using the standard interface technologies like UPnP. Jini and so on.

• The Journal of the Korea Contents Association
• /
• v.12 no.12
• /
• pp.170-178
• /
• 2012

This study examines perceived homophily by the degree of self disclosure among SNS users. In this research, there were three different groups in terms of the degree of self disclosure among SNS users such as strong, medium and weak self disclosure groups The major results are as follows: Firstly, the higher the degree of self disclosure, the more social network service use. In addition, the higher the degree of self disclosure, the smaller the degree of online activity including blog and mini web page. Secondly, the higher the degree of self disclosure, the higher the degree of socio-demographic homophily. It can be argued that the strong group had much more mean scores than that of medium and weak groups in terms of regions, gender, age and vocation except nationality. Also, the higher the degree of self disclosure, the higher the degree of shared homophily except of political opinion homophily.

• Journal of Educational Research in Mathematics
• /
• v.23 no.4
• /
• pp.585-604
• /
• 2013

This study is based on the problem that most middle school students cannot recognize the generality of geometrical theorems even after having proved them. By considering this problem from the point of view of empirical verification, the particularity of geometrical representations, and the role of geometrical variables, we suggest that some experiences in dynamic geometry environment (DGE) can help students to recognize the generality of geometrical theorems. That is, this study aims to observe students' cognitive changes related to their recognition of the generality and to provide some educational implications by making students experience some geometrical explorations in DGE. To do so, we selected three middle school students who couldn't recognize the generality of geometrical theorems although they completed their own proofs for the theorems. We provided them exploratory activities in DGE, and observed and analyzed their cognitive changes. Based on this analysis, we discussed the effects of DGE on studensts' recognition of the generality of geometrical theorems.