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Primary Teachers' Perception Analysis on Development and Application of STEAM Education Program (융합 인재 교육(STEAM) 연수를 통해 교수.학습 자료 개발 및 현장적용을 경험한 초등교사들의 인식 조사)

  • Lee, Ji Won;Park, Hye Jeong;Kim, Jung Bog
    • Journal of Korean Elementary Science Education
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    • v.32 no.1
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    • pp.47-59
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    • 2013
  • The purpose of this study is to investigate the perception about STEAM education of primary teachers who have developed and applied STEAM education to their students through teacher training program. For this study, 101 among 172 attendance are responded to questionnaire of three categories consisting of development and application teaching material for STEAM instruction, and spreading STEAM education. The major findings are as follows: First, when primary teachers develop materials for STEAM education, they consider applicabilities in real classes. Second, they feel the burden of time when they develop STEAM material. Third, they think that their own program has significant educational effectiveness and that students enjoyed the program. Especially, they think that STEAM education program can raise students' interest about learning. Fourth, primary teachers point out the constraints for application of STEAM education program, which are lack of expertise and difficulty acquiring class time. Fifth, primary teachers evaluate the effect of STEAM education program on primary education is positive, and they answer that we need many teaching materials for STEAM education, operating as a regular curriculum, and securing budget. In order to spread STEAM education in field of primary education successfully, administrators have to consider and reflect the voice of teachers.

Sparse Feature Convolutional Neural Network with Cluster Max Extraction for Fast Object Classification

  • Kim, Sung Hee;Pae, Dong Sung;Kang, Tae-Koo;Kim, Dong W.;Lim, Myo Taeg
    • Journal of Electrical Engineering and Technology
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    • v.13 no.6
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    • pp.2468-2478
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    • 2018
  • We propose the Sparse Feature Convolutional Neural Network (SFCNN) to reduce the volume of convolutional neural networks (CNNs). Despite the superior classification performance of CNNs, their enormous network volume requires high computational cost and long processing time, making real-time applications such as online-training difficult. We propose an advanced network that reduces the volume of conventional CNNs by producing a region-based sparse feature map. To produce the sparse feature map, two complementary region-based value extraction methods, cluster max extraction and local value extraction, are proposed. Cluster max is selected as the main function based on experimental results. To evaluate SFCNN, we conduct an experiment with two conventional CNNs. The network trains 59 times faster and tests 81 times faster than the VGG network, with a 1.2% loss of accuracy in multi-class classification using the Caltech101 dataset. In vehicle classification using the GTI Vehicle Image Database, the network trains 88 times faster and tests 94 times faster than the conventional CNNs, with a 0.1% loss of accuracy.

Bandwidth Provisioning Using ARIMA-Based Traffic Forecasting in IEEE 802.16e Networks (IEEE 802.16e 네트워크 환경에서 ARIMA 트래픽 예측을 사용한 대역폭 프로비저닝)

  • Kim, Hyun-Woo;Lee, Jun-Hui;Choi, Yong-Hoon;Chung, Young-Uk;Lee, Hyun-Joon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.1
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    • pp.92-101
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    • 2009
  • In this paper, we propose a dynamic bandwidth provisioning method based on traffic forecasting in IEEE 802.16e packet core network. The traffic is categorized as 4-different classes and the traffic amount of each class is forecasted by the Box-Jenkins method. To increase the service provider's revenue we provision the bandwidth of 4-different classes dynamically using greedy algorithm. The simulation results show that the number of packet drops is reduced and the level of QoS is improved compared with two different the methods - no priority considering and static provisioning.

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Anti-Obesity Drugs: A Current Research Insight

  • Son Eun-hwa;In San-Whan;Kim Byung-Oh;Pyo Suhkneung
    • Biomedical Science Letters
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    • v.11 no.2
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    • pp.89-101
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    • 2005
  • Obesity is increasing worldwide and has become a major health burden in Western societies affecting every third American and every fifth European. Obesity makes a major contribution to morbidity and mortality, predisposing individuals to cardiovascular disease and diabetes. Many new substances are currently being investigated for their usefulness in the pharmacotherapy of obesity. Most anti-obesity drugs can be divided into four groups: those that reduce food intake; those that alter metabolism; those that increase thermogenesis; and those that regulate hormone involved in feeding behavior. In this article we review these and other agents available in various countries for the treatment of obesity. Perhaps more importantly, we have focussed on areas of potential productivity in the future. Over the last 5 or so years, this impetus in obesity research has provided us with exciting new drugs targets involved in the regulation of feeding behavior and cellular mechanism involved in energy expenditure. Recent development in the quest for control of human obesity include the discovery of hormones, neuropeptides, receptors and transcription factors involved in feeding behavior, metabolic rate and adipocyte development. For developing new, perhaps even more specific pharmacological agents, further research is needed to understand the individual different genetic and physiological basis of obesity. It remains the hope of research scientists that in the not too distant future we shall see a new class of anti-obesity drugs arising logically from the molecular biology revolutions.

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A Study of Present Circumstance of Uniform Design for Korean Restaurant Employees in Hotels (호텔 한식당의 유니폼 디자인 현황에 관한 연구)

  • Kim Eun-Jung;Kang Soon-Che
    • Journal of the Korean Society of Costume
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    • v.54 no.8
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    • pp.101-112
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    • 2004
  • The purpose of this study was to survey the present circumstance of uniform's design and to suggest a design for employees who work for Korean restaurants in Hotels. The subject of study are 10 restaurants which are located in the first class hotels in seoul. And the period of research were 2 months between November, 2003 and December, 2003. The result of research was analyzed by various methods - which consider the frequency, percentage, T-test, crosstabs, and one-way ANOVA. The results are as follows: $1.40{\%}$ of subject adopt a general style which is not traditional style and $60{\%}$ of subject do a Han-Bok or casual Han-Bok which is traditional style. 2. About satisfaction of uniforms, $50{\%}$ of people who is wearing general style has been satisfying their uniform. And $33{\%}$ of people who is wearing traditional style has only been satisfying. 3. People prefer uniform that is made of wrinkle free fabrics and has pockets. In shape of design, they want that ankle-length of trousers, 7/8 sleeves's jackets with waist line-length, and narrow ends. They prefer that a coat has a knob button and there is a zipper in a skirt.

An Experimental Study on the Effect of the "Heliosit" Composite Resin to Pulp Tissue (Heliosit복합레진이 치수조직에 미치는 영향에 관한 실험적 연구)

  • Maing, Hyung-Yul;Kwon, Hyuk-Choon
    • Restorative Dentistry and Endodontics
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    • v.10 no.1
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    • pp.93-101
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    • 1984
  • The experimental study was made to investigate the effect of the "Heliosit" composite resin on the dental pulp. The 36 class V cavities were prepared on the healthy permanent teeth of 3 days, and were divided into 5 groups and filled with the experimental filling materials. Control group: Zinc Oxide-Eugenol cement filling Experimental groups: Group 1: Dentin Adhesit application & Heliosit filling with or without dycal base Group 2: Heliosit filling with or without dycal base Group 3: Durafill filling with dycal base Group 4: Hipol filling with dycal base Animals were sacrificed after 1 weeks, 2 weeks, and 4 weeks following operation. The teeth were decalcified, sectioned and stained with hematoxylin and eosin. The results obtained form this study were as follows: 1. All experimental group showed slight pulp response. 2. Dentin Adhesit group showed minimal pulp response in both dycal bases and no base cases. 3. In group 2, mild pulp response was found in early stage and repairing process was found as the time elapsed. In no base cases, healing process was delayed slightly. 4. There was little difference in the result among Heliosit group, Durafill group and Hipol group.

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A Study of the Musicians' Costumes in Yi dynasty - Specialized in Master Musician, Jeon-ag, Ag-Sang, and Ag-gong - (조선왕조시대(朝鮮王朝時代) 악인복(樂人服)에 관한 연구(硏究) - 악사(樂師).전락(典樂).악생(樂生).악공(樂工)을 중심(中心)으로 -)

  • Lee, Soon-Ja
    • Journal of the Korean Society of Costume
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    • v.5
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    • pp.83-101
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    • 1981
  • This study is to research and analyse the Musicians' Costumes in Yi dynasty. Each costume for the musicians was, at that time, different in its design and style in accordance with what class the musicians were belonging to and what ceremony they were playing for, and the form and substance of them were changed according to the ages. In the early of Yi dynasty, the musicians wore their costumes imitated from the Song dynasty's. Especially in the 13th year of King Sae-Jong(1431), they divided the costumes into A-ag-Seo Jeon-ag Gwan-bog(雅樂署 典樂冠服) and Jeon-ag-Seo Gwan-bog(典樂署冠服). Meanwhile the musicians had to put on their different kinds of costumes according to the sorts of ceremonies they were playing for since January of the 16th year of king Sae-Jong(1434). It is widely known that confucianism was made a national policy in Yi dynasty. Compared the musicians' costumes for sacrificial rituals, however, with those for every kind of ceremony, one was simpler and shabbier without any strictly established forms than the other. At the same time, the musicians' costumes for ceremonies were, instead, designed in more gorgeous forms; it means that the sacrificial ritual was very lightly dealt at that time. It is very difficult to define, by standard pictures the whole style and form of the musicians' costumes in Yi dynasty in this study. Since we haven't shown any examples of the costumes, this attempt will be keepful.

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Consciousness of Biomedical Ethics in Nursing Students and Non-Nursing Students (간호대학생과 비 간호대학생의 생명의료윤리 의식)

  • Jeon, Hyen-Sook
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.18 no.3
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    • pp.401-410
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    • 2011
  • Purpose: The purpose of this study was to provide basic data necessary for educating nursing students by establishing a desirable sense of ethics values. Method: In this descriptive research, 101 nursing students and 191 non-nursing students (in other health related fields) from Daejeon City were selected. Tools used for data analysis were descriptive statistics, t-test, one-way ANOVA, Scheffe test and step wise multiple regression with SPSS/WIN 12.0 version. Results: Average scores for consciousness of biomedical ethics in nursing students was 2.94, and in non-nursing students, 2.77. When differences in the consciousness of biomedical ethics of nursing and non-nursing students were compared, nursing students had significantly higher scores for artificial abortion, artificial insemination, prenatal diagnosis of fetus, right to life of newborn, euthanasia, organ transplantation and human biotechnology, but significantly lower for brain death. Variables which influenced consciousness of biomedical ethics were religion and economic status in the nursing students and intent to attend a class in biomedical ethics, quantity and quality of biomedical ethics in the current curriculum and religion in the non-nursing students. Conclusion: Continuing educational programs need to be considered and attention given to the significant variables that can promote consciousness of biomedical ethics in nursing students.

Comparison of Logistic, Bayesian, and Maxent Modelsfor Prediction of Landslide Distribution (산사태 분포 예측을 위한 로지스틱, 베이지안, Maxent의 비교)

  • Al-Mamun, Al-Mamun;Jang, Dong-Ho;Park, Jongchul
    • Journal of The Geomorphological Association of Korea
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    • v.24 no.2
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    • pp.91-101
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    • 2017
  • Quantitative forecasting methods based on spatial data and geographic information system have been used in predicting the landslide location. This study compared the simulated results of logistic, Bayesian, and maximum entropy models to understand the uncertainties of each model and identify the main factors that influence landslide. The study area is Boeun gun where 388 landslides occurred in the year of 1998. The verification results showed that the AUC of the three models was 0.84. However, the landslide susceptibility distribution of Maxent model was different from those of the other two models. With the same landslide occurrence data, the result of high susceptible area in Maxent model is smaller than Logistic or Bayesian. Maxent model, however, proved to be more efficient in predicting landslide than the other two models. In Maxent's simulations, the responsible factors for landslide susceptibility are timber age class, land cover, timber diameter, crown closure, and soil drainage. The results suggest that it is necessary to consider the possibility of overestimation when using Logistic or Bayesian model, and forest management around the study area can be an effective way to minimize landslide possibility.

Analysis of Weights and Feature Patterns in Popular 2D Deep Neural Networks Models for MRI Image Classification

  • Khagi, Bijen;Kwon, Goo-Rak
    • Journal of Multimedia Information System
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    • v.9 no.3
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    • pp.177-182
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    • 2022
  • A deep neural network (DNN) includes variables whose values keep on changing with the training process until it reaches the final point of convergence. These variables are the co-efficient of a polynomial expression to relate to the feature extraction process. In general, DNNs work in multiple 'dimensions' depending upon the number of channels and batches accounted for training. However, after the execution of feature extraction and before entering the SoftMax or other classifier, there is a conversion of features from multiple N-dimensions to a single vector form, where 'N' represents the number of activation channels. This usually happens in a Fully connected layer (FCL) or a dense layer. This reduced 2D feature is the subject of study for our analysis. For this, we have used the FCL, so the trained weights of this FCL will be used for the weight-class correlation analysis. The popular DNN models selected for our study are ResNet-101, VGG-19, and GoogleNet. These models' weights are directly used for fine-tuning (with all trained weights initially transferred) and scratch trained (with no weights transferred). Then the comparison is done by plotting the graph of feature distribution and the final FCL weights.