• Title/Summary/Keyword: Self recognition

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대화기능에 의한 모바일로봇의 실시간 주행제어 (Real-Time Travelling Control of Mobile Robot by Conversation Function Based on Voice Command)

  • 심병균;이우송;한성현
    • 한국산업융합학회 논문집
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    • 제16권4호
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    • pp.127-132
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    • 2013
  • We describe a research about remote control of mobile robot based on voice command in this paper. Through real-time remote control and wireless network capabilities of an unmanned remote-control experiments and Home Security / exercise with an unmanned robot, remote control and voice recognition and voice transmission are possible to transmit on a PC using a microphone to control a robot to pinpoint of the source. Speech recognition can be controlled robot by using a remote control. In this research, speech recognition speed and direction of self-driving robot were controlled by a wireless remote control in order to verify the performance of mobile robot with two drives.

관성과 SOFM-HMM을 이용한 고립단어 인식 (Isolated word recognition using the SOFM-HMM and the Inertia)

  • 윤석현;정광우;홍광석;박병철
    • 전자공학회논문지B
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    • 제31B권6호
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    • pp.17-24
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    • 1994
  • This paper is a study on Korean word recognition and suggest the method that stabilizes the state-transition in the HMM by applying the `inertia' to the feature vector sequences. In order to reduce the quantized distortion considering probability distribution of input vectors, we used SOFM, an unsupervised learning method, as a vector quantizer, By applying inertia to the feature vector sequences, the overlapping of probability distributions for the response path of each word on the self organizing feature map can be reduced and the state-transition in the Hmm can be Stabilized. In order to evaluate the performance of the method, we carried out experiments for 50 DDD area names. The results showed that applying inertia to the feature vector sequence improved the recognition rate by 7.4% and can make more HMMs available without reducing the recognition rate for the SOFM having the fixed number of neuron.

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음성명령에 의한 모바일로봇의 무선통신 실시간 주행제어 (Wireless Communication Real-Time Travelling Control of Mobile Robot by Voice Command)

  • 심병균;한성현
    • 한국기계가공학회지
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    • 제10권6호
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    • pp.33-38
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    • 2011
  • We describe a research about remote control of mobile robot based on voice command in this paper. Through real-time remote control and wireless network capabilities of an unmanned remote-control experiments and Home Security / exercise with an unmanned robot, remote control and voice recognition and voice transmission are possible to transmit on a PC using a microphone to control a robot to pinpoint of the source. Speech recognition can be controlled robot by using a remote control. In this research, speech recognition speed and direction of self-driving robot were controlled by a wireless remote control in order to verify the performance of mobile robot with two drives.

시스템잡음에 강건한 SOM-TVC 기법을 이용한 근전도 패턴 인식에 관한 연구 (A Study on the EMG Pattern Recognition Using SOM-TVC Method Robust to System Noise)

  • 김인수;이진;김성환
    • 대한전기학회논문지:시스템및제어부문D
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    • 제54권6호
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    • pp.417-422
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    • 2005
  • This paper presents an EMG pattern classification method to identify motion commands for the control of the artificial arm by SOM-TVC(self organizing map - tracking Voronoi cell) based on neural network with a feature parameter. The eigenvalue is extracted as a feature parameter from the EMG signals and Voronoi cells is used to define each pattern boundary in the pattern recognition space. And a TVC algorithm is designed to track the movement of the Voronoi cell varying as the condition of additive noise. Results are presented to support the efficiency of the proposed SOM-TVC algorithm for EMG pattern recognition and compared with the conventional EDM and BPNN methods.

한국 전통 한과류에 대한 대학생들의 인지도 및 기호도에 관한 연구 (A Study on the Recognition and Preference of Korean Traditional Cookie among College Students)

  • 정효선;신민자
    • 한국식품조리과학회지
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    • 제19권3호
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    • pp.328-338
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    • 2003
  • The purpose of his study was to investigate the perceptions and preferences of college students to Korean traditional cookies. Self administered questionaires were collected from 512 college students in the Seoul, Kyunggi, Chungchung, Kyungsang, Junla and Gangwondo areas. The data were statistically analysed using t-tests, one-way ANOVA and their correlation. The recognition of Korean traditional cookie was generally low with the exception of these items as either a seasonable or festive food. There were significant differences in the mean recognition and preference values for each kind of Korean traditional cookie between the major subject studied, gender and subject grade. (Eds note: how were the mean values different for the 3 specified variables\ulcorner) The preference of some Korean cookies was relatively higher than estimated, (Eds note: how was the original estimate arrived at\ulcorner) such as Yugwa, Gangjeong, Han-gwa, Hobak-yeot, Ddangkong-yeot-gangjeong and Ssal-yeot-gangjeong. However, it is impossible to discriminate low preference, as over 80% of the low preference values had not been completed on the questionnaires.

자율주행을 위한 라이다 기반 객체 인식 및 분류 (Lidar Based Object Recognition and Classification)

  • 변예림;박만복
    • 자동차안전학회지
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    • 제12권4호
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    • pp.23-30
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    • 2020
  • Recently, self-driving research has been actively studied in various institutions. Accurate recognition is important because information about surrounding objects is needed for safe autonomous driving. This study mainly deals with the signal processing of LiDAR among sensors for object recognition. LiDAR is a sensor that is widely used for high recognition accuracy. First, we clustered and tracked objects by predicting relative position and speed of objects. The characteristic points of all objects were extracted using point cloud data of each objects through proposed algorithm. The Classification between vehicle and pedestrians is estimated using number of characteristic points and distances among characteristic points. The algorithm for classifying cars and pedestrians was implemented and verified using test vehicle equipped with LiDAR sensors. The accuracy of proposed object classification algorithm was about 97%. The classification accuracy was improved by about 13.5% compared with deep learning based algorithm.

사과가공품의 인지도 및 중요도-만족도 분석 (Recognition and Importance-Satisfaction of Apple Processed Products)

  • 허무열
    • 한국식생활문화학회지
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    • 제25권1호
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    • pp.1-8
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    • 2010
  • The purpose of this study was to analyze consumer recognition, perceived importance, and satisfaction to create a new apple processed product and to promote its consumption. Data were collected from 527 men and women living throughout Korea through a self-administrated questionnaire. Frequencies, one-way analysis of variance, and Duncan's multiple range were conducted using SPSS v. 17.0 software. Recognition of juice and drinks, milk and dairy products, apple jam, and seasoning was high, while that of the other products was low. Consumer perceived importance of products was higher than consumer satisfaction of products. Quality preservation attributes were sanitation, taste, flavor, place of origin, and convenience of purchase. Attributes for improved consumer post-purchase satisfaction after purchasing were content of apple, quality of apple, price, and certificate of quality. The attributes of content of apple and certificate of quality were statistically different by consumer age.

자가 면역 (Autoimmunity)

  • 김중곤
    • Clinical and Experimental Pediatrics
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    • 제50권12호
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    • pp.1165-1172
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    • 2007
  • Self/non-self discrimination and unresponsiveness to self is the fundamental properties of the immune system. Self-tolerance is a state in which the individual is incapable of developing an immune response to an individual's own antigens and it underlies the ability to remain tolerant of individual's own tissue components. Several mechanisms have been postulated to explain the tolerant state. They can be broadly classified into two groups: central tolerance and peripheral tolerance. Several mechanisms exist, some of which are shared between T cells and B cells. In central tolerance, the recognition of self-antigen by lymphocytes in bone marrow or thymus during development is required, resulting in receptor editing (revision), clonal deletion, anergy or generation of regulatory T cells. Not all self-reactive B or T cells are centrally purged from the repertoire. Additional mechanisms of peripheral tolerance are required, such as anergy, suppression, deletion or clonal ignorance. Tolerance is antigen specific. Generating and maintaining the self-tolerance for T cells and B cells are complex. Failure of self-tolerance results in immune responses against self-antigens. Such reactions are called autoimmunity and may give rise to autoimmune diseases. Development of autoimmune disease is affected by properties of the genes of the individual and the environment, both infectious and non-infectious. The host's genes affect its susceptibility to autoimmunity and the environmental factors promote the activation of self-reactive lymphocytes, developing the autoimmunity. The changes in participating antigens (epitope spreading), cells, cytokines or other inflammatory mediators contribute to the progress from initial activation to a chronic state of autoimmune diseases.