• 제목/요약/키워드: Untrained

검색결과 183건 처리시간 0.019초

Modification on Movable Storage Furniture by Non-specialist - In the KYUDOGAKUSHA Housing Renovation -

  • YI, Yongkyu;TAKADA, Mitsuo
    • Architectural research
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    • 제10권2호
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    • pp.1-10
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    • 2008
  • The study is to find possibilities and problems of a small-scale modification on movable storage furniture as an answer to the residents' needs. The study selected one of the renovated housing units at "KYUDOGAKUSHA" as a case study. "KYUDOGAKUSHA" was designed by architect Takeda Goichi in 1926 and was renovated in 2006. The study investigates major two aspects of movable storage furniture, which includes the furniture's layout planning and technical issues of assembling and moving moveable storage furniture. The experimental test result shows that, 1) It is clear that island type of movable storage furniture's layout can facilitate the residents'small-scale modification even though the residents are untrained. 2) To increase the assembling efficiency, the study found that it is necessary to improve the movable storage furniture's casters so that furniture can rotate. Certain moveable furniture which played a role as a connector between other furniture pieces was not able to move vertically and caused a load on other connected furniture; this needed an improvement.

LLE(Locally Linear Embedding)의 함수관계에 대한 다층퍼셉트론 학습 (Training of Locally Linear Embedding using Multilayer Perceptrons)

  • 오상훈
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2007년도 추계 종합학술대회 논문집
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    • pp.217-220
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    • 2007
  • 고차원의 데이터를 저차원으로 차원축소 하는 것은 일반적인 문제에서 항상 나타난다. 이때, 고차원에서 데이터 간의 인접한 관계를 유지하면서 저차원으로 변형시켜주는 방법으로 LLE(Locally Linear Embedding)이 제안되었다. 이 방법은 비록 최적의 해를 찾아주지만, 학습되지 않은 데이터가 주어지면 다시 전체 데이터를 상대로 처리를 하여야 한다. 이 논문에서는, 주어진 학습데이터 만을 상대로 LLE의 관계를 수행할 수 있는 다층퍼셉트론을 학습시켜, 학습되지 않은 데이터가 입력되는 경우 다층퍼셉트론의 출력으로 LLE 처리를 하는 방법을 제안한다.

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Hydrological Modelling of Water Level near "Hahoe Village" Based on Multi-Layer Perceptron

  • Oh, Sang-Hoon;Wakuya, Hiroshi
    • International Journal of Contents
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    • 제12권1호
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    • pp.49-53
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    • 2016
  • "Hahoe Village" in Andong region is an UNESCO World Heritage Site. It should be protected against various disasters such as fire, flooding, earthquake, etc. Among these disasters, flooding has drastic impact on the lives and properties in a wide area. Since "Hahoe Village" is adjacent to Nakdong River, it is important to monitor the water level near the village. In this paper, we developed a hydrological modelling using multi-layer perceptron (MLP) to predict the water level of Nakdong River near "Hahoe Village". To develop the prediction model, error back-propagation (EBP) algorithm was used to train the MLP with water level data near the village and rainfall data at the upper reaches of the village. After training with data in 2012 and 2013, we verified the prediction performance of MLP with untrained data in 2014.

신경회로를 이용한 6축 로보트의 역동력학적 토크제어 (Inverse Dynamic Torque Control of a Six-Jointed Robot Arm Using Neural networks)

  • 오세영;조문정;문영주
    • 대한전기학회논문지
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    • 제40권8호
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    • pp.816-824
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    • 1991
  • It is well known that dynamic control is needed for fast and accurate control. Neural networks are ideal for representing the strongly nonlinear relationship in the dynamic equations including complex unmodeled effects. It thus creates many advantages over conventional methods such as simple, fast and accurate control through neural network's inherent learning and massive parallelism. In this paper, dynamic control of the full six degrees of freedom of an industrial robot arm will be presented using neural networks. Moreover, through application to a real robot the usefulness of neurocontrol is demonstrated. The back propagation and feedback-error learning is used to train the neurocontroller. Simulated control of a PUMA 560 arm demonstrates that it moves at high speed with good accuracy and generalizes over untrained trajectories as well as adapt to unforseen load changes and sensor noise.

비반복적 훈련 신경망을 이용한 숫자인식 (Digits Recognition Using a Non-Iterative Neural Network)

  • 이재승;안도랑;이동욱
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 추계학술대회 논문집 학회본부 D
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    • pp.797-799
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    • 2000
  • Most neural network learning schemes are derived from learning systems which are generally iterative in nature. But, when the given input-output training vector pairs satisfy a PLI condition, the training and the application of a hard-limited neural network can be achieved non-iteratively with very short training time and very robust recognition when it is applied to recognize any untrained patterns. In this paper, a method of expanding the dimension of training pattern data is suggested. The proposed method demonstrates better performance and robustness.

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Role of Database Management Systems in Selected Engineering Institutions of Andhra Pradesh: An Analytical Survey

  • Kumar, Kutty
    • International Journal of Knowledge Content Development & Technology
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    • 제6권1호
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    • pp.41-68
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    • 2016
  • This paper aims to analyze the function of database management systems from the perspective of librarians working in engineering institutions in Andhra Pradesh. Ninety-eight librarians from one hundred thirty engineering institutions participated in the study. The paper reveals that training by computer suppliers and software packages are the significant mode of acquiring DBMS skills by librarians; three-fourths of the librarians are postgraduate degree holders. Most colleges use database applications for automation purposes and content value. Electrical problems and untrained staff seem to be major constraints faced by respondents for managing library databases.

다짐된 사약재료의 응력-변형 이론 (A STREE-STRAIN THEORY FOR COMPACTED ROCKFILL)

  • 이영희
    • 한국지반공학회지:지반
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    • 제3권1호
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    • pp.77-96
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    • 1987
  • Based on observation emerged from the undrained tests and the anisotropic consolidation tests, an incremental stress-strain theory for rockfill is proposed in a manner similar to that developed ky Cambridge Group for normally consolidated soils; the volumetric strain due to stress increment is the same as the increment due to an undrained component followed by an increment along the constant stress ratio path. The strains in drained tests are predicted from those in the undrained tests and in the anisotropic consolidation tests. An expression for the undrained stress path is derived based on the bilinear relationship between the pore pressure developed and the stress ratio observed during untrained tests. Good agreement is found between the calculated and measured strains. This trend in behaviour would be helpful in establishing a stress.strain model for rockfill using the elasto-plastic behaviour with the concept of plastic potentials and flow rules.

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심볼을 이용한 한국어 숫자음의 광역 음소군 분류에 관한 연구 (A study of broad board classification of korean digits using symbol processing)

  • 이봉규;이극;황희융
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1989년도 하계종합학술대회 논문집
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    • pp.481-485
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    • 1989
  • The object of this parer is on the design of an broad board classifier for connected. Korean digit. Many approaches have been applied in speech recognition systems: parametric vector quantization, dynamic programming and hiden Markov model. In the 80's the neural network method, which is expected to solve complex speech recognition problems, came bach. We have chosen the rule based system for our model. The phoneme-groups that we wish to classify are vowel_like, plosive_like fricative_like, and stop_like.The data used are 1380 connected digits spoken by three untrained male speakers. We have seen 91.5% classification rate.

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학령기 아동의 음성범위프로필(Voice Range Profile) 특징 (The features of Voice Range Profile of School-Age child)

  • 문경아;한지연
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2007년도 한국음성과학회 공동학술대회 발표논문집
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    • pp.52-54
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    • 2007
  • This study has investigated the basic data of untrained boys and girls' VRP. The VRP comparison was executed between 5 boys(lO to 11 years old) and girls(10 to 11 years old). The measure of VRP was implemented by using Dr. Speech 4.0(Tiger-electronics) phonetogram program. The comparison of boys and girls' maximum and minimum range, the mean of boys' maximum range is 93.68dB(SD 7.90) and girls' range is 93.12dB(SD 5.11). There was no difference and the mean of minimum range of boy is 68.08dB(SD 3.59), girl is 71.10dB(SD 3.06).

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서양음악을 전공으로 하는 성악인에서의 음성효율 측정 (Vocal Efficiency Measures in Classically Trained Western Singers)

  • 정성민
    • 대한후두음성언어의학회지
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    • 제9권1호
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    • pp.43-46
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    • 1998
  • Background and Objectives : Singers, the vocal equivalents of Olympic athletes, may present with vocal dysfunction in the singing voice before adverse effects are noted in the speech mode. For the classically trained singers, any imbalance in the respiratory, laryngeal or resonatory subsystems may manifest first in technical compensations. Therefore it is necessary that baseline values be available in order to differentiate technique related dysfunction from abnormalities within the phonatory system. Materials and Methods : Vocal efficiency measures were collected from 55 classically trained singers and 20 untrained adults. All singers was divided into 3 groups : (1) Singers who have normal larynx with out voice symptoms. (2) Singers who have vocal nodule without voice symptoms. (3) Singers who have vocal nodule with voice complaints. Results and Conclusion : Results were compared with each other. Differences in each group wert found, suggesting the need for separate normative data to be used for the evaluation of the classically trained singers.

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