• Journal of the Korean earth science society
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• v.29 no.2
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• pp.204-217
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• 2008

This study analyzed the inquiry activities appearing in the astronomy sections of elementary, middle and highschool level science textbooks according to the five essential features of inquiry in the classroom as proposed by the National Science Education Standards (NRC, 2000), and SAPA (Science-A Process Approach). On the basis of this analysis, it is clear that the science textbook inquiry activities released the limitation to meet the goal of science education, namely scientific literacy, as it has been laid out by the 7th Science Educational Curriculum. This study revealed that the features of scientific inquiry which are most frequently used in the astronomy sections of science textbooks are 'data collection' and 'form explanation', whereas the features of 'oriented-question', 'evaluate explanations' and 'communicate and justify' rarely appeared. The analysis of inquiry activities by SAPA showed that the basic inquiry skills of 'observing', 'communicating' and 'manipulating materials' were used with increasing frequency according to grade level, and the integrated skills of 'investigating', 'creating models', 'interpreting data' and 'experimenting' were more emphasized in the textbooks. Therefore, it is suggested that students be provided with more opportunities to experience all the features of scientific inquiry and scientific processes as envisioned by the 7th Science Educational Curriculum in order to achieve the stated goal of scientific literacy. Science educators should be required to develop new lesson modules which will allow students to experience authentic scientific inquiry. It is crucial for science teachers to reflect upon and develop their understanding and teaching strategies regarding scientific inquiry through professional development programs in teacher education.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.155-162
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• 2016

Communication of art and the expansion of roles are some of the important discourses of art. For a while, many attempts were made to overcome the enjoyment of art by only a few elites and the alienation of roles. In the meanwhile, due to its formative nature, media art has contributed to the various expansion of roles as a familiar art in society and by communicating with the public in various play contents and industrial context. This study will take a step further and examined whether media art can assess and be used in social issues through the characteristic analysis of 'media art information visualization.' The general field of information visualization only focuses on the clarity of information delivery, so it is effective for intuitively identifying various information. However, stiff visual expression must improve user-friendly functions in an era in which users' sensibility is increasing, and it only focuses on the effectiveness of information delivery that its secondary social problem such as personal information protection must be compensated. Thus, this research analyze the characteristics of case works to examine how the visualization of media art information can approach social problems creatively, seek the expansion of the role of art and compensate the areas that general information visualization is missing.

• Cartoon and Animation Studies
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• s.33
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• pp.503-529
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• 2013

The commemorative AR postage stamps which are the world first presented at The YEOSU EXPO 2012 has had meaning of communicating with future in this present from a convergence that the most analog medium is using now and that the AR is cutting edge of digital technology. The AR stamps printed 10 kind out of 33 commemorative stamps. These have great significance that is artistic value than that is world first. The applied AR images are not only expressed 3D real images but also artic represented and signifying each stamp images from visualized creativity process, and build 'new art space' that is new concept between on real(analog) and virtual(digital). This study analyzes meaning of images and then makes concept of AR contents design. The processing is designed and considered the meaning of architectures and environments, and the regional specific feature of the Yeosu with surrealistic graphic concept. The 10 of deducted images were expressed after AR coding such as visual arts. This study realized markerless 3D image tracking AR stamps and deducted research result are; the first, it was able to figure out how to realize AR in the process of registering the reference images, coordinating transformation, and hybriding AR on the stamps for the mobile devices. The second, it was able to be seeked a possibility of new virtual exhibition space. The third, it was able to know possibility of satisfaction of immersing with visual formativeness and usability with informativity.

• Korean Parent-Child Health Journal
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• v.3 no.2
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• pp.49-66
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• 2000

Pregnancy is a task of creation in which a women mobilizes her self and the resources available to her in the generation of a new person. Through the pregnancy, a mother has formed the new human relationship with a fetus. Maternal-fetal relationship is considered one of mechanism making the relationship of mother and child. It is important to well-being of mother and fetus, too. The earliest interaction between a mother and her child is during prenatal period. Maternal-fetal dyad is unique and perceived interactions with the fetus make the pregnancy real for the mother. Maternal behavior is "instinctive" and is formed in early childhood by copy of the mother. But, Rubin argues that this behavior is an open intellectual system rather than a prepackaged bundle of traits. There is openness to new learning and a high value placed on knowing which occurs with silent organization in thought. Thus, nurses and other health professionals provide prenatal care that optimally is part of the environment in which the maternal-fetal dyad develops. Thus it is appropriate for nurses to increases their understanding of the dyad and to explore ways to enhance its development. This study focusses on the interaction ability and response of fetus, and the maternal-fetal interaction. The research of fetal responses that involve physiological changes and motor movement have been shown to coccur to both external sensory stimuli and to maternal emotional states. The fetus does also have sensory capacity to be aware of some maternal behaviors, and the motor ability to respond in a way the mother can notice. Thus, very rudimentary interactions appear to be possible. Maternal awareness of fetal activity was supported by several studies. More interesting to the present study are description of maternal-fetal interaction and the finding that there appear to be levels of sensitivity to the fetus involved in maternal-fetal interactions. First, recognition comes that the fetus is separate from the maternal self. Next, the fetus engages in. Lastly, the parent may describe active interaction with the fetus, believing that mother and fetus are communicating on a meaningful level. Several interventions, developed to promote more active interaction between mother and fetus, have been reviewed. In general, the parents were taught to stimulate the fetus and to notice the fetus' responses. This type of intervention might increase the mother's sensitivity to her unborn baby, and she may have a head start toward learning how to res pond sensitivity to the newborn infant. Research In the area of maternal-fetal interaction is scarce. Sensitive behavior is construed as an appropriate and timely response to a signal of need from another person, but no such signal of need can be claimed regarding the fetus. The highest level of maternal-fetal interaction, therefore, might be based more on maternal representations of the imagined fetus than on factual evidence of fetal participation.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.430-435
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• 2008

Thanks to the development of IT technology, there have been developed a variety of types of portable music players. IT technology didn't stop there, however. It has gone to developing GUIs (Graphic User Interfaces) to deliver more information to the user. As the function of GUIs has become important, the music players are being required to show characteristics of the sounds they output visually beyond just delivering the sounds through analyzing the information that the sounds contain. To visualize the information of sounds, that is to say, has become substantial. In this process, sound graphic equalizers have been developed in order. The object of this study is to produce a new sound graphic equalizer with new forms of expressing visual images of sounds besides the bar graphs, in which user feedback is possible. This study has devised a new sound visualization form in visually expressing the information of sounds by analyzing their characteristics. This new sound visualization provides a sound graphic equalizer with which the user can select images for the information of the sounds s/he listens. This study suggests a new alternative GUI with which the user can change the form of the outputted images in realtime as communicating with the player.

• Horticultural Science & Technology
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• v.34 no.6
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• pp.860-870
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• 2016

Continuous monitoring of environmental parameters provides farmers with useful information, which can improve the quality and productivity of crops grown in greenhouses. The objective of this study was to develop a greenhouse environment measurement system using a low-cost microcontroller with open-source software. Greenhouse environment parameters measured were air temperature, relative humidity, and carbon dioxide ($CO_2$) concentration. The ranges of the temperature, relative humidity, and $CO_2$ concentration were -40 to $120^{\circ}C$, 0 to 100%, and 0 to 10,000 ppm, respectively. A $128{\times}64$ graphic LCD display was used for real-time monitoring of the greenhouse environments. An Arduino Uno R3 consisted of a USB interface for communicating with a computer, 6 analog inputs, and 14 digital input/output pins. A temperature/relative humidity sensor was connected to digital pins 2 and 3. A $CO_2$ sensor was connected to digital pins 12 and 13. The LCD was connected to digital pin 1 (TX). The sketches were programmed with the Arduino Software (IDE). A measurement system including the Arduino board, sensors, and accessories was developed (totaling $244). Data for the environmental parameters in a venlo-type greenhouse were obtained using this system without any problems. We expect that the low-cost microcontroller using open-source software can be used for monitoring the environments of plastic greenhouses in Korea.

• Archives of design research
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• v.17 no.3
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• pp.27-38
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• 2004

It is important for designers to be supported with their decision-making on colours which is often based on personal distinction rather than logical dialogue that may lead to confusion within communicating with others. To help these problems and to gain productivity, we would like to propose a way to define colour grouping method. In other words, the purpose of this study is to help to improve the communication and productivity within the design and designers. The grouping was based and inspired by from the studies of Kobayashi, Hideaki Chijiawa, Allis Westgate and Martha Gill. The study of grouping is based on the "tones" of each group, as they seem to reflect a designer s sentimentalism of chosen colours the best. Each of these groups will be named Bright , Pastel ,Deep and Neutral The general concept of each groups are: - Bright: high quality of pixels of primary colour - Pastel: primary colour with white - - Deep: Primary colour with gray or black - Neutral: colours that does not include any of above Each of the colour group has been allocated into Si-Hwa Jung's colour charts and colour prism to visualize the relationships between the colour groups. These four groups and the colours included in them will be broken down to smaller groups in order to make colour palette. This would break the barrier and result in using colours in groups as well as crossover coordination. This study would result in new ways of using colurs for designers designers

• Journal of Korean Academy of Nursing
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• v.53 no.3
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• pp.295-308
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• 2023

Purpose: This study evaluated the validity and reliability of Shively and colleagues' self-efficacy for HIV disease management skills (HIV-SE) among Korean participants. Methods: The original HIV-SE questionnaire, comprising 34 items, was translated into Korean using a translation and back-translation process. To enhance clarity and eliminate redundancy, the author and expert committee engaged in multiple discussions and integrated two items with similar meanings into a single item. Further, four HIV nurse experts tested content validity. Survey data were collected from 227 individuals diagnosed with HIV from five Korean hospitals. Construct validity was verified through confirmatory factor analysis. Criterion validity was evaluated using Pearson's correlation coefficients with the new general self-efficacy scale. Internal consistency reliability and test-retest were examined for reliability. Results: The Korean version of HIV-SE (K-HIV-SE) comprises 33 items across six domains: "managing depression/mood," "managing medications," "managing symptoms," "communicating with a healthcare provider," "getting support/help," and "managing fatigue." The fitness of the modified model was acceptable (minimum value of the discrepancy function/degree of freedom = 2.49, root mean square error of approximation = .08, goodness-of-fit index = .76, adjusted goodness-of-fit index = .71, Tucker-Lewis index = .84, and comparative fit index = .86). The internal consistency reliability (Cronbach's α = .91) and test-retest reliability (intraclass correlation coefficient = .73) were good. The criterion validity of the K-HIV-SE was .59 (p < .001). Conclusion: This study suggests that the K-HIV-SE is useful for efficiently assessing self-efficacy for HIV disease management.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.163-177
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• 2019

As smartphones are getting widely used, human activity recognition (HAR) tasks for recognizing personal activities of smartphone users with multimodal data have been actively studied recently. The research area is expanding from the recognition of the simple body movement of an individual user to the recognition of low-level behavior and high-level behavior. However, HAR tasks for recognizing interaction behavior with other people, such as whether the user is accompanying or communicating with someone else, have gotten less attention so far. And previous research for recognizing interaction behavior has usually depended on audio, Bluetooth, and Wi-Fi sensors, which are vulnerable to privacy issues and require much time to collect enough data. Whereas physical sensors including accelerometer, magnetic field and gyroscope sensors are less vulnerable to privacy issues and can collect a large amount of data within a short time. In this paper, a method for detecting accompanying status based on deep learning model by only using multimodal physical sensor data, such as an accelerometer, magnetic field and gyroscope, was proposed. The accompanying status was defined as a redefinition of a part of the user interaction behavior, including whether the user is accompanying with an acquaintance at a close distance and the user is actively communicating with the acquaintance. A framework based on convolutional neural networks (CNN) and long short-term memory (LSTM) recurrent networks for classifying accompanying and conversation was proposed. First, a data preprocessing method which consists of time synchronization of multimodal data from different physical sensors, data normalization and sequence data generation was introduced. We applied the nearest interpolation to synchronize the time of collected data from different sensors. Normalization was performed for each x, y, z axis value of the sensor data, and the sequence data was generated according to the sliding window method. Then, the sequence data became the input for CNN, where feature maps representing local dependencies of the original sequence are extracted. The CNN consisted of 3 convolutional layers and did not have a pooling layer to maintain the temporal information of the sequence data. Next, LSTM recurrent networks received the feature maps, learned long-term dependencies from them and extracted features. The LSTM recurrent networks consisted of two layers, each with 128 cells. Finally, the extracted features were used for classification by softmax classifier. The loss function of the model was cross entropy function and the weights of the model were randomly initialized on a normal distribution with an average of 0 and a standard deviation of 0.1. The model was trained using adaptive moment estimation (ADAM) optimization algorithm and the mini batch size was set to 128. We applied dropout to input values of the LSTM recurrent networks to prevent overfitting. The initial learning rate was set to 0.001, and it decreased exponentially by 0.99 at the end of each epoch training. An Android smartphone application was developed and released to collect data. We collected smartphone data for a total of 18 subjects. Using the data, the model classified accompanying and conversation by 98.74% and 98.83% accuracy each. Both the F1 score and accuracy of the model were higher than the F1 score and accuracy of the majority vote classifier, support vector machine, and deep recurrent neural network. In the future research, we will focus on more rigorous multimodal sensor data synchronization methods that minimize the time stamp differences. In addition, we will further study transfer learning method that enables transfer of trained models tailored to the training data to the evaluation data that follows a different distribution. It is expected that a model capable of exhibiting robust recognition performance against changes in data that is not considered in the model learning stage will be obtained.

• Journal of the Korean earth science society
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• v.29 no.2
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• pp.163-174
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• 2008

In this study, we compared textbook knowledge organization with students' mental models to contribute to a more well-designed instruction scheme. The selected science content was the cause of moon phases. We investigated 9 textbooks and 25 third-year middle school students. Patterns and features in participants' mental models were identified through cross inter-rater data analysis by 9 researchers, including in service teachers and experts in science education. According to the results, observing and modeling are the main activities engaged in when dealing with moon phases. The activities consisted of such concepts as: lunar revolution, the sun's parallel rays, the illuminated half of moon, and the relative positions of the sun, moon, and earth. Each concept involved inquiry skills such as: creating and manipulating models, utilizing the relationship between time and space, and communicating. However, the most important skills which are required for authentic scientific inquiry, namely controlling variables and formulating hypotheses, were missing. We categorized students' mental models into three types: scientific models, mixed models, and alternative models. The knowledge structure of each of the models was also discussed in this paper. Consequently, it was found that, typically, students were not given enough opportunities to strengthen the connection among ideas.