• 제목/요약/키워드: Generalization ability

검색결과 128건 처리시간 0.026초

자기 조절 개념을 적용한 음성치료 기법이 발성장애 환자에게 미치는 효과 (The Effect of Voice Therapy Applying Self-Regulation Concepts on Dysphonia Patients)

  • 이창윤;안수연;손희영
    • 대한후두음성언어의학회지
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    • 제30권1호
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    • pp.15-20
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    • 2019
  • Background and Objectives : The goal of this study is to present a strategy for improving the self-regulation (SR) ability and facilitating the change of vocal behavior by applying voice therapy using the SR concept to the patients with vocal cord nodule and muscle tension dysphonia. Materials and Method : The subjects were 80 patients and 80 patients who were diagnosed with muscle tension dysphonia and vocal nodules. As a control group, the results were compared among patients with the same dysphonia without using SR strategies. The concept of SR before voice therapy was explained to the patients, and the treatment was divided into three stages according to the goal of voice therapy. The treatment stages consist of 1) skill acquisition, 2) habit formation, and 3) habit changes. voice therapy was performed by applying SR strategies such as goal implementation intentions and a less routine behavior. Patient's dropout rates were measured to compare the adherence of voice therapy. Results : Significant improvement was seen in all groups receiving voice therapy. However, in the group using the SR strategy, the voice analysis results showed a relatively low dropout rate of voice therapy. In the generalization confirmation stage, patients who applied SR concept showed better results. SR strategy did no longer be necessary to maintain newly adopted vocal behavior. Conclusion : The results of this study show that SR is one of the cognitive factors that can have a significant impact on the outcome of voice therapy, and also has a positive impact on the acquisition and generalization of new skills. A better understanding of SR and the development of therapeutic strategies using it will play an important role in solving voice problems in clinical settings.

'생각하는 과학' 활동을 경험한 중학생들의 변인 통제 전략과 변인의 효과를 추론하는 능력에 대한 분석 (Analysis of the Ability to Infer the Effects of Variables and Variable-Controlling Strategy in Middle School Students who experienced 'Thinking Science' Activities)

  • 이상권;백명화;이종백;최병순;박종윤
    • 한국과학교육학회지
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    • 제31권4호
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    • pp.587-599
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    • 2011
  • 이 연구에서는 '생각하는 과학' 활동을 경험한 중학생들이 이를 경험하지 못한 통제집단과 비교하여 변인 통제 전략의 적용과 변인의 효과를 추론하는 능력에 대해 분석하였다. 연구 결과 변인 통제 전략 유형은 조작변인의 인식과 변인 통제의 여부에 따라 변인 통제전략 성공형, 변인 통제전략 미완성형, 부분통제형, 통제 불가능형, 변인 통제전략 실패형으로 구분하였다. 실험집단이 통제집단에 비해 변인 통제 전략을 보다 정화하고 효과적으로 사용하였다. 직관적으로 알 수 있는 변인의 효과 추론 능력을 분석한 결과 가역적 사고가 가능한지의 여부와 변인의 효과를 추론할 수 있는지에 따라 변인효과 추론 가능형, 변인효과 추론 불가능형, 가역적 사고 불가능형으로 구분하여 유형화하였다. 실험집단 학생들이 변인효과 추론 가능형에서 통제집단보다 두 배 이상 많았다. 보상논리 조작을 포함하는 가역적 사고가 가능한 학생들은 형식적 조작기 이상의 학생들에게서 가능하였다. 직관적으로 얻기 힘든 변인의 효과를 추론하는 능력은 두 집단 모두 형식적 조작기 후기에 도달한 인지 수준의 비율과 비슷하였으며, 추론에 성공한 학생들의 비율은 실험집단이 통제집단 학생들 보다 1.5배 정도 더 많았다. 따라서 변인 통제능력과 변인을 추론하는 능력을 향상시키기 위해서는 '생각하는 과학' 활동 프로그램이 큰 영향을 미치고 있음을 알 수 있다.

편마비 환자에서 트레드밀 보행훈련이 보행에 미치는 효과 - 지면 보행훈련과의 비교 - (Effects of Treadmill Gait Training on Gait Patterns in Hemiplegic Patients comparison with conventional gait training)

  • 김현희;허진강;양영애
    • 대한물리치료과학회지
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    • 제10권2호
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    • pp.17-28
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    • 2003
  • The aim of this study was to investigate the effects of treadmill gait training on the functional characteristics and the temporal-distance parameters of gait in hemiplegic patients, as compared with conventional gait training. The subjects of this study were 32 hemiplegic patients who had been admitted or were visited out-patients at Kangdong Sacred Heart Hospital, Hallym University, from March 3 through April 25, 2003. These subjects were randomly divided into treadmill gait training group or conventional gait training group. We evaluated the gait ability, motor functions, muscle strength, spasticity, physiological cost index, and temporal-distance parameters. We analyzed the changes between pre and post training in each groups, and the difference between two groups. Temporal-distance parameters were obtained using the ink footprint method and then energy consumption using physiological cost index. The results were as follows: 1. After a six-week training, treadmill gait training group significantly improved, as. compared to pre-training, in gait ability, motor functions for the leg and trunk and gross function, muscle strength of the lower limb, gait speed, cadence, step length both on the affected and on the unaffected side, step length symmetry, and energy consumption(p<0.05). 2. After a six-week training, conventional gait training group significantly improved, as compared to pretraining, in gait ability, motor functions for the leg and trunk, muscle strength of the lower limb, spasticity the upper limb, gait speed, cadence, step length both on the affected and on the unaffected side, and energy consumption(p<0.05). 3. After a six-week training, the treadmill gait training group significantly improved, as compared to the conventional gait, training, in gait speed and step length on the unaffected side. These results show that treadmill gait training was improved gait speed and step length on the unaffected side of hemiplegic patients, as compared with conventional gait training. Further research is needed to confirm the generalization of these findings and to identify which hemiplegic patients might benefit from treadmill gait training.

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Remote Sensing Image Classification for Land Cover Mapping in Developing Countries: A Novel Deep Learning Approach

  • Lynda, Nzurumike Obianuju;Nnanna, Nwojo Agwu;Boukar, Moussa Mahamat
    • International Journal of Computer Science & Network Security
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    • 제22권2호
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    • pp.214-222
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    • 2022
  • Convolutional Neural networks (CNNs) are a category of deep learning networks that have proven very effective in computer vision tasks such as image classification. Notwithstanding, not much has been seen in its use for remote sensing image classification in developing countries. This is majorly due to the scarcity of training data. Recently, transfer learning technique has successfully been used to develop state-of-the art models for remote sensing (RS) image classification tasks using training and testing data from well-known RS data repositories. However, the ability of such model to classify RS test data from a different dataset has not been sufficiently investigated. In this paper, we propose a deep CNN model that can classify RS test data from a dataset different from the training dataset. To achieve our objective, we first, re-trained a ResNet-50 model using EuroSAT, a large-scale RS dataset to develop a base model then we integrated Augmentation and Ensemble learning to improve its generalization ability. We further experimented on the ability of this model to classify a novel dataset (Nig_Images). The final classification results shows that our model achieves a 96% and 80% accuracy on EuroSAT and Nig_Images test data respectively. Adequate knowledge and usage of this framework is expected to encourage research and the usage of deep CNNs for land cover mapping in cases of lack of training data as obtainable in developing countries.

중등과학영재 학생의 탐구 사고력 향상을 위한 R & E 프로그램의 개발과 효과 (Development and Effects of R & E Program for Improving the Science Process Skills of Middle Gifted Science Students)

  • 손준호;노자헌;조재형;송진여;정지현;김종희
    • 대한지구과학교육학회지
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    • 제12권1호
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    • pp.94-108
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    • 2019
  • 이 연구는 과학영재 학생의 탐구 사고력 향상을 위해 안내된 R & E 프로그램을 개발하여 그 효과를 확인하고자 하였다. 우선 교사중심에서 학생 중심으로 3단계의 과정을 거쳐 R & E를 수행할 수 있도록 하는 안내된 R & E 수업 모형을 개발하였고, 5단계 절차에 맞는 안내된 R & E 프로그램을 개발하여 중학교 과학 영재 학생 38명을 대상으로 수업을 진행하였다. 그 결과, '가설 설정 > 변인 추출 > 탐구문제 도출 > 결론 도출 > 실험 설계 > 일반화 > 평가 > 자료 해석 > 자료 변환' 순으로 높은 평균 점수를 나타냈다. 세부적으로는 9개 평가 요소 중 '탐구문제 도출, 변인 추출, 가설 설정, 결론 도출'은 높은 수준을, '실험 설계'는 평균 수준을, '자료 해석, 일반화, 평가'는 낮은 수준을, '자료 변환'은 매우 낮은 수준을 나타냈다. 이번 연구를 계기로 안내된 R & E 프로그램이 탐구 과정별 요소를 잘 반영하여 과학영재 학생의 종합적 사고력과 창의적 문제해결력 향상에 도움이 되길 기대한다.

Prediction of the remaining time and time interval of pebbles in pebble bed HTGRs aided by CNN via DEM datasets

  • Mengqi Wu;Xu Liu;Nan Gui;Xingtuan Yang;Jiyuan Tu;Shengyao Jiang;Qian Zhao
    • Nuclear Engineering and Technology
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    • 제55권1호
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    • pp.339-352
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    • 2023
  • Prediction of the time-related traits of pebble flow inside pebble-bed HTGRs is of great significance for reactor operation and design. In this work, an image-driven approach with the aid of a convolutional neural network (CNN) is proposed to predict the remaining time of initially loaded pebbles and the time interval of paired flow images of the pebble bed. Two types of strategies are put forward: one is adding FC layers to the classic classification CNN models and using regression training, and the other is CNN-based deep expectation (DEX) by regarding the time prediction as a deep classification task followed by softmax expected value refinements. The current dataset is obtained from the discrete element method (DEM) simulations. Results show that the CNN-aided models generally make satisfactory predictions on the remaining time with the determination coefficient larger than 0.99. Among these models, the VGG19+DEX performs the best and its CumScore (proportion of test set with prediction error within 0.5s) can reach 0.939. Besides, the remaining time of additional test sets and new cases can also be well predicted, indicating good generalization ability of the model. In the task of predicting the time interval of image pairs, the VGG19+DEX model has also generated satisfactory results. Particularly, the trained model, with promising generalization ability, has demonstrated great potential in accurately and instantaneously predicting the traits of interest, without the need for additional computational intensive DEM simulations. Nevertheless, the issues of data diversity and model optimization need to be improved to achieve the full potential of the CNN-aided prediction tool.

과학자의 탐구 과정을 재구성한 광합성 실험 모듈의 개발과 적용 (Development and Application of the Photosynthesis Experimental Module Based on Scientist's Inquiry Processes)

  • 김호기;김연주;김성하
    • 과학교육연구지
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    • 제35권2호
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    • pp.204-220
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    • 2011
  • 이 연구는 초기 광합성 연구자의 탐구 과정을 재구성하여 중학생들의 과학탐구능력과 광합성 관련 개념의 향상을 위한 실험 모듈을 개발한 후, 이의 적용 효과를 알아보고 광합성과 관련된 학생들의 선행 개념 유형과 개념 변화의 패턴을 분석하고자 하였다. 실험재료로는 Rapid-cycling Brassica rapa 라는 속성식물을 사용하였다. 개발된 모듈을 적용한 실험반의 수업은 교과서에 제시된 실험을 적용한 통제반의 수업에 비해 학생들의 과학탐구능력 향상에 효과적이었으며, 과학탐구능력의 하위 요소 중에서 측정, 예상, 가설 설정 능력의 향상에 효과적이었다. 실험반의 사전-사후 검사 결과를 비교해 본 결과, 관찰, 예상, 일반화 능력의 향상에 더욱 효과가 있는 것으로 나타났다. 개발된 모듈은 광합성 관련 개념 성취 및 생태계내에서의 식물의 역할, 식물의 먹이, 식물체 내에서 물과 양분의 이동과 관련된 개념 발달에 효과가 있었다. 학생들은 선행 개념으로 이산화탄소나 산소와 같이 눈에 보이지 않는 물질의 존재나 역할 또는 에너지의 축적과 같은 추상적 개념에 대한 이해가 부족한 것으로 나타났으나, 이 연구에서 개발된 모듈을 적용한 결과 유기물과 산소 생산자인 식물의 역할에 대한 포괄적인 개념 발달에 효과가 있었으며, 과학탐구능력과 광합성 관련 개념의 향상에 효과가 있었다.

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중학교 수학 영재 판별을 위한 수학 창의적 문제해결력 검사 개발 (Math Creative Problem Solving Ability Test for Identification of the Mathematically Gifted Middle School Students)

  • 조석희;황동주
    • 영재교육연구
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    • 제17권1호
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    • pp.1-26
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    • 2007
  • 본 연구의 목적은 중학교 수학 영재를 수학 창의적 문제해결력 검사로 판별할 때, 유창성만을 기준으로 수학 창의적 문제해결력을 채점하는 방식의 신뢰도와 타당도를 검증하는데 있다. 이를 위해서 수학영역에서의 직관적 통찰능력, 정보의 조직화 능력, 추론능력, 일반화 및 적용능력, 추상화능력, 공간화/시각화 능력, 반성적 사고력을 요구하는 문항들로 구성된 검사를 개발했다. 고급한 수학적 사고력을 요구하며 정답이 하나인 폐쇄적인 수학문항 10개와 다양한 답이 가능한 개방적인 수학 문항 5개를 영재교육기관의 교육대상자 선발과정에 지원한 중학교 1학년 1,032명에게 실시했다. 교사들은 각 문제에 대해 타당한 답을 제시한 빈도로 유창성을 채점했다. 학생들의 반응을 Rasch의 1모수 문항반응모형을 기반으로 한 BIGSTEPS로 분석했다. 문항반응 분석결과, 유창성만으로 측정한 창의성을 기준으로 한 영재교육대상자 선발의 신뢰도, 타당도, 난이도, 변별도가 모두 양호한 것으로 나타났다. 특히 덜 정의되고, 덜 구조화되고, 신선한 문제일수록 영재교육대상자 선발과정에 지원한 학생들의 수학 창의적 문제해결력을 평가하는데 양호한 문제임이 확인되었다. 이 검사는 영재교육원 지원생들이 영재학급 지원생들보다 창의적 문제해결력에서 더 우수함을 확인해주었다. 이로써 유창성만을 기준으로 수학 창의적 문제해결력을 채점하는 방식이 효율적이며, 타당하고 신뢰로울 수 있음을 확인해 주었다.

산업체(産業體) 부설(附設) 특별학급(特別學級) (학교(學校))의 과학교육(科學敎育) 실태(實態) 조사(調査) (A Survey of Current Status on the Science Education of the Special Classroom(School) managed by Firm)

  • 정원우;여새동;박종환;김은경
    • 한국과학교육학회지
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    • 제13권2호
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    • pp.282-295
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    • 1993
  • This study was accomplished to survey of current situation and management of science education in the special classroom(school) managed by firm. The status of management and the evalution of the scientific inquiry ability were taken on workers attending 17 Special Classes and 9 Special Schools located in Taegu City and Kyungpuk Province. As a responses, most students chose the subject "Science"as an option within their limited 8 units credits. About 88.5% of the students were female. About 78.3% of the classes/schools were conducted in the evening only. About 59.4% of teaching staffs were prevailed with female in these classes, and most of them were young, naive, and unexperienced with their major in chemistry and physics. Insufficient facilities and equipments, crowded classes, understaffed instructors, and inappropriated text materials. etc., were reasons for the students not receiving maximum benefit from these classes and schools. In order to evaluate of scientific inquiry ability, 25 items were constructed and administered to 250 students. The processes of scientific inquiry were classified into 5 categories(category I : establishing a subjects, category II : planning a experiments, category III : conducting a experiments. category IV : interpreting a result of experiments, category V : formulating generalization). As the result obtained from the achivement test analysis, the scores for all the students were significantly low, and the scores for girls were higher than those for boys. The results of test in the selected students showed that inquiry abilities in the category I, II and V were higher than those in category III and IV.

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건강가정지원센터 중간관리자급 건강가정사의 직무현황과 역량분석 (An Analysis of the Job and Competency of the Healthy Family Supporter as a Middle Manager on the Healthy Family Support Center)

  • 이윤정
    • 한국생활과학회지
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    • 제18권4호
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    • pp.809-824
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    • 2009
  • The purpose of this study is to examine the contents and concept of program for healthy family and provide job opportunity and competency of healthy family supporter. For this research, participants are 51 healthy family supporters as a middle manager. Data were obtained through the survey using a questionnaire developed by the ministry of women and family and headquarter of healthy family support centers in 2007. The research process consists of two parts. One is to suggest their jobs and requirements, the other is to offer their core competency and area for improvement. First, the jobs of healthy family supporters as a middle manager are the generalization of team's work including the planning, management and coordination, training for the staff, and network of social resources. They recognized the planning and management of healthy family support center's goal and course as a strategic job. The requirements for the performance of their duties are having a bachelor's or a master's degree, career more than for 3 years, and a certificate of qualification of healthy family supporters, social worker and family counselor. Second, their competencies are the understanding of education of family life, theory of family counselling, the planning and valuation of program for healthy family, understanding for the variegated family, management of organization, networking with resources, ability of documentation, ability of persuasion and negotiation, management of time, sociality, communication skill, solving the problem, positiveness, cooperative spirit and so on.