• 한국초등과학교육학회지:초등과학교육
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• 제28권4호
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• pp.404-414
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• 2009

The revised curriculum in 2007 includes open inquiry approach to increase students' interest in science and to build up creativity. So teachers and pre-service teachers should be equipped with the ability of open inquiry performance. In order to investigate pre-service teachers' readiness to perform open inquiry tasks, we analyzed reports written as homework by a group of 71 juniors in a national university of education. The investigation tool was composed of four domains: topic selection, the inquiry process, the conclusion, and reporting. Each domain had three or four sub-domains. By using the framework, four raters scored the students' inquiry reports. The findings reveal that the pre-service elementary school teachers have difficulty in the domain of 'topic selection' and the 'conclusion' compared with the other domains. Under the topic selection domain, they showed weaknesses in 'creativity' and 'scientific topic' and under the conclusion domain, they had difficulty in 'recognizing limits' and 'value of conclusion'. The finding suggests that pre-service teaching program should provide with opportunities to perform open inquiry continually.

• 제어로봇시스템학회논문지
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• 제6권12호
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• pp.1079-1085
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• 2000

In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). An immune system is the living bodys self-protection and self-maintenance system. these features can be applied to decision making of the optimal swarm behavior in a dynamically changing environment. For applying immune system to DARS, a robot is regarded as a B-cell, each environmental condition as an antigen, a behavior strategy as an antibody, and control parameter as a T-cell, respectively. When the environmental condition (antigen) changes, a robot selects an appropriate behavior strategy (antibody). And its behavior strategy is stimulated and suppressed by other robots using communication (immune network). Finally, much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and immune network hypothesis, and it is used for decision making of the optimal swarm strategy. Adaptation ability of the robot is enhanced by adding T-cell model as a control parameter in dynamic environments.

• 한국패션뷰티학회지
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• 제1권1호
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• pp.95-104
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• 2003

Just as costumes reflect the spirit of the time, hair styles echo the social changes and even facilitate them, being used as a means of communication. In short, hair styles reflect the cultural life of the time dynamically. In our modern times, fashion is moving very fast, and such a phenomenon is more conspicuous in hair styles. While individuals are eager to pursue their own individuality, hair styles play a leading role in fashion, excelling the costumes. In this sense, we need to note that hair styles may be related with individual, social and psychological factors. As people are more interested in hair colors, the scope of hair color selection becomes wider. People visit beauty shops to have their hair colors changes rather than have their hairs cut. Selection of a hair color seems to be deeply related with individuals' psychological states. Since hair colors have much effects on their facial images, hair designers need to have an empathy with their customers. Each person has his or her own unique image, and his/her selection of hair colors is affected much by external environment as well as his/her traits. With such basic assumptions in mind, this study was aimed at analyzing the preferences of hair colors by those in their 20's, 30's and 40's who are more interested in their hair colors. To this end, their preferences of or tendencies for hair colors were surveyed by sex, age group and job.

• 농촌계획
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• 제20권1호
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• pp.135-145
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• 2014

This research analyzed the effects of satisfaction factors of rural experience of city dwellers. The main research results are summarized as follows. The selection attributes for the rural experience of urbanites were divided into their interests into the programs, variety of the programs and convenience of the facilities. According to the multiple regression analysis, interests into the programs had impacts on the level of satisfaction. The types of rural tourism had statistical relevance with people's interests into the programs, convenience of the facilities and variety of the programs. In addition, those at the age of 40 to 50 reported higher satisfaction in their interests of the programs and convenience of the facilities among the general attributes of the respondents. In occupation, office workers had higher satisfaction in their interests into the programs while homemakers were more satisfied than others in convenience of the facilities and variety of the programs. When it comes to the monthly family income, those in the group who earn 2 to 3 million won a month had higher satisfaction in terms of convenience of the facilities and variety of the programs.

• 대한화장품학회:학술대회논문집
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• 대한화장품학회 2003년도 IFSCC Conference Proceeding Book I
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• pp.457-468
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• 2003

Active ingredients have been around in cosmetics for a long time but have they really resulted in active cosmetic products\ulcorner In order to achieve this, the right active needs to be delivered to the right location at the right concentration for the correct period of time. And the extent (and therefore the concentration) of this delivery depends on the formulation. From a rather theoretical approach based on the polarity of the active ingredient, the stratum corneum and the oil phase, the Relative Polarity Index was established that enables the selection of a suitable emollient for ensuring skin penetration of the active ingredient. Practical examples subsequently show the validity of this approach that demonstrates that one can regulate the delivery of an active molecule (and therefore the efficacy of a cosmetic formulation) by selection and control of the emollient system. Cosmetic formulations are generally quite complex mixtures and subsequent experiments using different emulsifier systems indicated that this component of a cosmetic formulation could also have an impact on steering the active ingredient to the right layer of the skin, although it is too early to be able to derive general rules from this.

• 한국산림과학회지
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• 제99권2호
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• pp.213-219
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• 2010

Early results from a field trail of Agathis loranthifolia are reported from a progeny test of 100 open-pollinated families in west Java, Indonesia. The average of height and diameter at root collar (DRC) was 40.18 cm and 0.52 cm at age 15 months. Family survival rate ranged from 86.5% at age 10 months to 81.7% at age 15 months. Family means of 10 best and 10 poorest families for each trait indicated that there was a large difference of growth performances among individual families. For height and DRC growth, the poorest groups had averages of 33.98 cm and 0.43 mm while the averages of the best groups were 47.35 cm and 0.62 mm at age 15 months as a difference of 39.36% and 43.65%, respectively. Differences between the best group and the test population mean, which is the selection differential, were implying that genetic gain from selection for the improvement of height and DRC growth would be achieved. The family variances of DRC and height were relatively small compared to replicate and residual variances. Family heritabilities for both studied traits were fluctuated, and the genetic coefficients of variation for DRC and height at age of 15 months were 7.19% and 5.22%, respectively.

• International journal of advanced smart convergence
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• 제9권2호
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• pp.185-194
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• 2020

Designing of a hierarchical clustering algorithm is one of the numerous approaches to minimize the energy consumption of the Wireless Sensor Networks (WSNs). In this paper, a homogeneous and randomly deployed sensor nodes is considered. These sensors are energy constrained elements. The nominal selection of the Cluster Head (CH) which falls under the clustering part of the network protocol is studied and compared to Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. CHs in this proposed process is the function of total remaining energy of each node as well as total average energy of the whole arrangement. The algorithm considers initial energy, optimum value of cluster heads to elect the next group of cluster heads for the network as well as residual energy. Total remaining energy of each node is compared to total average energy of the system and if the result is positive, these nodes are eligible to become CH in the very next round. Analysis and numerical simulations quantify the efficiency and Average Energy Ratio (AER) of the proposed system.

• 한국통신학회논문지
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• 제40권4호
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• pp.646-652
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• 2015

본 논문은 다중 사용자 MIMO 시스템에서 사용자 선택을 위해 필요한 precoding matrix index (PMI)/channel quality indication (CQI)의 보고 방식에 따른 성능을 분석한다. 이러한 분석을 통해 셀 내의 단말의 수, 선택되는 사용자의 수, 그리고 코드북(codebook)의 크기가 Best Companion Grouping (BCG)방식 스케쥴링의 성능에 복잡하게 영향을 미치는 것을 확인한다. 이에 따라 셀 내의 사용자 수와 코드북의 크기에 따라 동시에 스케쥴링 되는 사용자들의 그룹이 형성될 수 있는 확률이 달라지는 것을 확인할 수 있으며, 피드백 오버헤드가 주어졌을 때 이에 따라 피드백하는 PMI의 수와 사용하는 코드북의 크기를 적응적으로 선택함으로써 시스템의 평균 수율 성능을 최적화할 수 있음을 보였다.

• Journal of Information Science Theory and Practice
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• 제10권2호
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• pp.86-101
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• 2022

This research aimed at studying the factors that influence new media exposure of political news by youths in Isan society in Thailand. The target group comprised 1,200 individuals, obtained from multi-stage sampling from undergraduate students in Isan's autonomous universities, governmental universities, and private institutions. The data collection tool was a questionnaire, the content of which was validated by experts. The reliability of the tool was tested by the formula for Cronbach's alpha coefficient, which yielded a reliability of 0.83. Multiple regression analysis was applied to analyze the data. The results, regarding factors influencing the channels for political news exposure, showed that channels for political news exposure were mostly influenced by inner drives, followed by importance in political news exposure, influence from social networks, and specific characteristics of the Internet. This could explain the variation of channels for political news exposure at 46.5%. In terms of factors influencing political news selection, it was found that political news selection was influenced mostly from social networks, followed by inner drives, benefits from political news exposure, specific characteristics of the Internet, and the field of study. The variation of the political news selection could be explained at 44.6%. These results elaborate on the current situation in Thailand, especially in Isan region, where youths in higher education are playing an increasing role in demonstrating their political stance through various political activities.

• 한국재료학회지
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• 제33권4호
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• pp.164-174
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• 2023

The bandgap characteristics of semiconductor materials are an important factor when utilizing semiconductor materials for various applications. In this study, based on data provided by AFLOW (Automatic-FLOW for Materials Discovery), the bandgap of a semiconductor material was predicted using only the material's compositional features. The compositional features were generated using the python module of 'Pymatgen' and 'Matminer'. Pearson's correlation coefficients (PCC) between the compositional features were calculated and those with a correlation coefficient value larger than 0.95 were removed in order to avoid overfitting. The bandgap prediction performance was compared using the metrics of R² score and root-mean-squared error. By predicting the bandgap with randomforest and xgboost as representatives of the ensemble algorithm, it was found that xgboost gave better results after cross-validation and hyper-parameter tuning. To investigate the effect of compositional feature selection on the bandgap prediction of the machine learning model, the prediction performance was studied according to the number of features based on feature importance methods. It was found that there were no significant changes in prediction performance beyond the appropriate feature. Furthermore, artificial neural networks were employed to compare the prediction performance by adjusting the number of features guided by the PCC values, resulting in the best R² score of 0.811. By comparing and analyzing the bandgap distribution and prediction performance according to the material group containing specific elements (F, N, Yb, Eu, Zn, B, Si, Ge, Fe Al), various information for material design was obtained.