• 제목/요약/키워드: Recognize-into

검색결과 1,118건 처리시간 0.024초

Obstacle Modeling for Environment Recognition of Mobile Robots Using Growing Neural Gas Network

  • Kim, Min-Young;Hyungsuck Cho;Kim, Jae-Hoon
    • International Journal of Control, Automation, and Systems
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    • 제1권1호
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    • pp.134-141
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    • 2003
  • A major research issue associated with service robots is the creation of an environment recognition system for mobile robot navigation that is robust and efficient on various environment situations. In recent years, intelligent autonomous mobile robots have received much attention as the types of service robots for serving people and industrial robots for replacing human. To help people, robots must be able to sense and recognize three dimensional space where they live or work. In this paper, we propose a three dimensional environmental modeling method based on an edge enhancement technique using a planar fitting method and a neural network technique called "Growing Neural Gas Network." Input data pre-processing provides probabilistic density to the input data of the neural network, and the neural network generates a graphical structure that reflects the topology of the input space. Using these methods, robot's surroundings are autonomously clustered into isolated objects and modeled as polygon patches with the user-selected resolution. Through a series of simulations and experiments, the proposed method is tested to recognize the environments surrounding the robot. From the experimental results, the usefulness and robustness of the proposed method are investigated and discussed in detail.in detail.

초등학교 현장 교사의 문제해결 전략의 인지도 (A Study On The Recognition of Elementary School Teachers′ Problem-solving Strategy)

  • 최순만
    • 한국학교수학회논문집
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    • 제6권1호
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    • pp.19-26
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    • 2003
  • 이 연구에서는 학교 수학교육에서 문제해결전략의 중요성과 전략의 유형 및 이들을 발달시키고 적용시키기 위해서는 현장교사의 다양한 문제해결전략의 구사능력이 필수적임을 제시하고 이 관점에서 40명의 초등학교 현장교사를 대상으로 3가지 이상의 전략을 구사할 수 있는 문항에 대하여 조사한 결과 전략의 인지도가 저조하여 현장교사의 이에 대한 부단한 연구와 노력이 필요함을 보였다.

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Characterization of the Functional Domains of Human Foamy Virus Integrase Using Chimeric Integrases

  • Lee, Hak Sung;Kang, Seung Yi;Shin, Cha-Gyun
    • Molecules and Cells
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    • 제19권2호
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    • pp.246-255
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    • 2005
  • Retroviral integrases insert viral DNA into target DNA. In this process they recognize their own DNA specifically via functional domains. In order to analyze these functional domains, we constructed six chimeric integrases by swapping domains between HIV-1 and HFV integrases, and two point mutants of HFV integrase. Chimeric integrases with the central domain of HIV-1 integrase had strand transfer and disintegration activities, in agreement with the idea that the central domain determines viral DNA specificity and has catalytic activity. On the other hand, chimeric integrases with the central domain of HFV integrase did not have any enzymatic activity apart from FFH that had weak disintegration activity, suggesting that the central domain of HFV integrase was defective catalytically or structurally. However, these inactive chimeras were efficiently complemented by the point mutants (D164A and E200A) of HFV integrase, indicating that the central domain of HFV integrase possesses potential enzymatic activity but is not able to recognize viral or target DNA without the help of its homologous N-terminal and C-terminal domains.

파라메트릭 제스처 공간에서 포즈의 외관 정보를 이용한 제스처 인식과 동작 평가 (Gesture Recognition and Motion Evaluation Using Appearance Information of Pose in Parametric Gesture Space)

  • 이칠우;이용재
    • 한국멀티미디어학회논문지
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    • 제7권8호
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    • pp.1035-1045
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    • 2004
  • 본 논문에서는 저차원 제스처 특징 공간에서 연속적인 인간의 제스처 형상을 이용하여 제스처를 인식하고 동작을 구체적으로 평가하는 방법에 대해 소개한다. 기존의 HMM, 뉴럴 넷을 이용한 제스처 인식방법은 주로 인간의 동작 패턴을 구분할 수 있지만 동작의 크기 정보를 이용하기엔 어려움이 있다. 여기서 제안한 방법은 연속적으로 촬영된 인간의 제스처 영상들을 파라메트릭 고유공간이라는 저차원 공간으로 표현하여 모델과 입력 영상간의 거리 계산으로써 포즈뿐만 아니라 동작에 관한 빠르기나 크기와 같은 구체적인 정보를 인식할 수 있다. 이 방법은 단순한 처리와 비교적 안정적인 인식 알고리즘으로 지적 인터페이스 시스템이나 감시 장비와 같은 여러 응용 시스템에 적용 될 수 있다.

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Recent update of autism spectrum disorders

  • Kim, Sung Koo
    • Clinical and Experimental Pediatrics
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    • 제58권1호
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    • pp.8-14
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    • 2015
  • In patients with a language developmental delay, it is necessary to make a differential diagnosis for autism spectrum disorders (ASDs), specific language impairment, and mental retardation. It is important that pediatricians recognize the signs and symptoms of ASDs, as many patients with language developmental delays are ultimately diagnosed with ASDs. Pediatricians play an important role in the early recognition of ASDs, because they are usually the first point of contact for children with ASDs. A revision of the diagnostic criteria of ASDs was proposed in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) that was released in May 2013. The autism spectrum describes a range of conditions classified as neurodevelopmental disorders in the fifth edition of the DSM. The new diagnostic criteria encompasses previous elements from the diagnosis of autistic disorder, Asperger disorder, childhood disintegrative disorder, and pervasive developmental disorder-not otherwise specified. An additional change to the DSM includes synthesizing the section on social and communication deficits into one domain. In ASD patients, the appropriate behavioral therapies and rehabilitation treatments significantly affect the prognosis. Therefore, this makes early diagnosis and treatment very important. In conclusion, pediatricians need to be able to recognize the signs and symptoms of ASDs and be attentive to them in order to make an early diagnosis and provide treatment.

A Local Feature-Based Robust Approach for Facial Expression Recognition from Depth Video

  • Uddin, Md. Zia;Kim, Jaehyoun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권3호
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    • pp.1390-1403
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    • 2016
  • Facial expression recognition (FER) plays a very significant role in computer vision, pattern recognition, and image processing applications such as human computer interaction as it provides sufficient information about emotions of people. For video-based facial expression recognition, depth cameras can be better candidates over RGB cameras as a person's face cannot be easily recognized from distance-based depth videos hence depth cameras also resolve some privacy issues that can arise using RGB faces. A good FER system is very much reliant on the extraction of robust features as well as recognition engine. In this work, an efficient novel approach is proposed to recognize some facial expressions from time-sequential depth videos. First of all, efficient Local Binary Pattern (LBP) features are obtained from the time-sequential depth faces that are further classified by Generalized Discriminant Analysis (GDA) to make the features more robust and finally, the LBP-GDA features are fed into Hidden Markov Models (HMMs) to train and recognize different facial expressions successfully. The depth information-based proposed facial expression recognition approach is compared to the conventional approaches such as Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Linear Discriminant Analysis (LDA) where the proposed one outperforms others by obtaining better recognition rates.

Recognition of Individual Holstein Cattle by Imaging Body Patterns

  • Kim, Hyeon T.;Choi, Hong L.;Lee, Dae W.;Yoon, Yong C.
    • Asian-Australasian Journal of Animal Sciences
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    • 제18권8호
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    • pp.1194-1198
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    • 2005
  • A computer vision system was designed and validated to recognize an individual Holstein cattle by processing images of their body patterns. This system involves image capture, image pre-processing, algorithm processing, and an artificial neural network recognition algorithm. Optimum management of individuals is one of the most important factors in keeping cattle healthy and productive. In this study, an image-processing system was used to recognize individual Holstein cattle by identifying the body-pattern images captured by a charge-coupled device (CCD). A recognition system was developed and applied to acquire images of 49 cattles. The pixel values of the body images were transformed into input data comprising binary signals for the neural network. Images of the 49 cattle were analyzed to learn input layer elements, and ten cattles were used to verify the output layer elements in the neural network by using an individual recognition program. The system proved to be reliable for the individual recognition of cattles in natural light.

한.중 무역구조의 특성을 고려한 FTA 체결시 정책적 함의 (Characteristics of the Trade between Korea and China and the Implications for the Korea-China FTA)

  • 이서영;안병민
    • 통상정보연구
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    • 제12권4호
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    • pp.235-253
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    • 2010
  • The export is an important economic growth strategy in South Korea. South Korea is strongly dependant on external trades. Bilateral trade between China and South Korea has been grown rapidly in recent years. The China is now Korea's first-largest trading partner. Thus, the Korea-China Free Trade Agrement (FTA) in South Korea's trade operations is very important. A discussion of Korea-China bilateral FTA commenced in 2004 November. This paper is to recognize the phenomenon of major issued fields in the Korea-China FTA such as a manufacturing, agriculture, customs and seek a negotiation strategy that are summarized as follows. In terms of trade based on manufacturing, it is necessary to divide into a private, general reduction and priority reduction item to recognize whether it is complementary or competitive on the specific industry in the FTA negotiation by using an index regarding supplement and competition of these two countries. In particularly sensitive agricultural field, FTA should be progressed gradually after giving a certain period of time of grace period on the basis of various flexible tariff systems in order to minimize agriculture damage as a result of the rapid growth from import of Chinese agricultural goods.

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DNN과 슈퍼픽셀을 이용한 실내 공간 인식 (Indoor Space Recognition using Super-pixel and DNN)

  • 김기상;최형일
    • 인터넷정보학회논문지
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    • 제19권3호
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    • pp.43-48
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    • 2018
  • 본 논문은 DNN(Deep Neural Network)와 슈퍼픽셀을 이용한 실내 공간 인식 알고리즘을 제안한다. 영상으로부터 실내 공간 인식을 위해 우선 영상 분할을 위한 세그멘테이션 프로세스가 필요하다. 이를 위해 본 논문에서는 적당한 크기로 나눌 수 있는 슈퍼 픽셀 알고리즘을 이용해 세그멘테이션을 수행한다. 각 세그먼트를 인식하기 위해 세그먼트마다 제안하는 방법을 이용하여 특징을 추출한다. 추출된 특징들을 DNN을 이용하여 학습하고, 학습으로부터 추출된 DNN모델을 이용하여 각 세그먼트를 인식한다. 실험 결과를 통해 제안하는 방법과 기존의 알고리즘과의 성능 비교 분석을 한다.

연세간호를 태동 시킨 외국 선교사들 (Foreign Nurse Missionaries Starting Yonsei Nursing School)

  • 이정열;조윤희;고지숙;김정애
    • 한국간호교육학회지
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    • 제17권1호
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    • pp.44-51
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    • 2011
  • Purpose: Nursing in Korea was started by foreign nurse missionaries. This study was intended to recognize the foreign nurse missionaries contribution with the development of Yonsei nursing education in Korea. Method: This study used an historical study approach. The study target was foreign nurse missionary contributions during 1895~1917. The data was collected from the existing historical nursing studies and Korean Mission Field. Result: Since A.P. Jacobson, the first nurse missionary from the North Mission branch in America in 1895, there were 16 missionaries sent to Korea. Among them, 14 missionaries worked for Severance Hospital Nurse Training School. 7 missionaries served less than 10 years and 5 missionaries stayed in Korea more than 20 years. E.L. Shields served the longest time with 42 years in Korea. They contributed not only in nursing education and services in the hospital, but also public health in the community. Conclusion: Foreign nurse missionaries were a cornerstone for nursing development in Korea. They contributed by not only starting nursing education, but also giving women freedom into Korean society. The historical research regarding foreign nurse missionaries during early 1900s helped to recognize their effort for Korean nursing and society.