• Journal of The Korean Association of Information Education
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• v.1 no.2
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• pp.67-83
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• 1997

We studied a CAI courseware model for distance education on network, with the use of Java language. Basic www files, contents of courseware, are constructed with html. Students and educator can access the preferred unit composed of the appropriate multimedia data by using of www browser at any time. The distance education system, in this paper, has functions to manage the flow of distance learning, and to offer interaction between students and system in distributed environment. Students and/or 'educator can discuss a topic through server in different places. We implemented these functions, which are required in server and client environment of distance education, with the use of Java.

• Journal of Animal Science and Technology
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• v.52 no.6
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• pp.459-466
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• 2010

In this study, we suggest an objective standard in selection of candidate horse mates. Korea Racing Authority provided racing records and pedigree information of 44 sires and 954 dams. The datasets were used to predict Racing Indices represented by the averages of earnings earned by offspring for each dam and sire that indicate the racing performance of its domestic progeny. Proportion of wins and second places to the number of taken races and the mean of distances for the won races of a sire were significant factors in linear model with minimum prediction errors. For dam, those factors were the average of earned money per race, number of outstanding broodmares in pedigree, and the comparable index which indicates the relative affinity with its mate. We can use the resultant model for a horse mate by choosing one of the candidates with the largest predicted value for hypothetical offspring.

• International Journal of Knowledge Content Development & Technology
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• v.8 no.4
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• pp.7-18
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• 2018

Information Literacy (IL) is considered as an important aspect of everybody's life. In today's information society possessing IL skills is more significant than ever as information is available in many forms and formats. Schools are the primary places where these skills are imbibed in students. Organizations like UNESCO, IFLA, ALA, AASL, & ACRL have formulated IL Standards and Guidelines/Models at the international arena. Though the Government of India is making efforts in providing information literacy skills yet there are no set of standards/guidelines devised by any agency/organization at the school level. This paper gives a brief account of IL initiatives and highlights the trends and developments of IL programmes in Indian School Libraries. It recommends the nation to form a national level advisory committee to develop IL framework for Indian school Libraries. Further, it suggests that librarians should work in close collaboration with teachers for better results. A moderate attempt has been made to provide feasible solutions for effective implementation of IL programmes in school libraries.

• Journal of Multimedia Information System
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• v.9 no.1
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• pp.61-68
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• 2022

The importance of online reviews is prevalent as more people access goods or places online and make decisions to visit or purchase. However, such reviews are generally provided by short sentences or mere star ratings; failing to provide a general overview of customer preferences and decision factors. This study explored and broke down restaurant reviews found on Google Maps. After collecting and analyzing 5,427 reviews, we vectorized the importance of words using the TF-IDF. We used a random forest machine learning algorithm to calculate the coefficient of positivity and negativity of words used in reviews. As the result, we were able to build a dictionary of words for positive and negative sentiment using each word's coefficient. We classified words into four major evaluation categories and derived insights into sentiment in each criterion. We believe the dictionary of review words and analyzing the major evaluation categories can help prospective restaurant visitors to read between the lines on restaurant reviews found on the Web.

• Journal of Multimedia Information System
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• v.9 no.2
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• pp.103-112
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• 2022

Background: A presentation attack places the printed image or displayed video at the front of the sensor to deceive the biometric recognition system. Usually, presentation attackers steal a genuine user's biometric image and use it for presentation attack. In recent years, reconstruction attack and adversarial attack can generate high-quality fake images, and have high attack success rates. However, their attack rates degrade remarkably after image shooting. Methods: In order to comprehensively analyze the threat of presentation attack to palmprint recognition system, this paper makes six palmprint presentation attack datasets. The datasets were tested on texture coding-based recognition methods and deep learning-based recognition methods. Results and conclusion: The experimental results show that the presentation attack caused by the leakage of the original image has a high success rate and a great threat; while the success rates of reconstruction attack and adversarial attack decrease significantly.

• Journal of Korean Elementary Science Education
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• v.26 no.3
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• pp.329-340
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• 2007

This study is to find out how well elementary school gardens work as places of observation learning. We compared the tree species planted in elementary school gardens with those which appeared in the science textbooks of the 7th Korean National Curriculum. The number of tree species are 60 throughout all the grades, specifically; 43 in the third grade, 22 in the fifth grade, 16 in the first grade, 15 in the second grade, 8 in the sixth grade, and 5 in the fourth grade, respectively. Their frequency of appearance (hereafter referred to as 'appearance frequency') throughout all the grades is 175, and the maximum frequency is 62 in the third grade. Of particular note is the fact that the appearance frequency in one grade was very high, meaning that a repeat study will not be conducted. The total number of tree species counted in the study was 13,028 and consisted of 167 species in 52 families. Only 23% of the total planted tree species, that is, 38 tree species appeared in the textbooks, so the ratio of the practical usage of school gardens was revealed to be low. In the school gardens, there are only an average of about 16 tree species per school. The fewest number of species in one school was 9 and the most was 22. The native species were 74 and the non-native species were 93. This means that almost all the planted species do not relate to observation learning in the textbooks. The 22 tree species among 60 species in the textbooks were not planted in the gardens. In conclusion, the degree of utilization of almost all the elementary school gardens examined during this investigation was very low.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.4
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• pp.57-66
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• 2008

This study, with teachers form elementary schools in Chungju-si as its subjects, has investigated influence of school forest on satisfaction with school greenspace and environmental education. It has reached the following conclusions. As for recognition of and satisfaction of school greenspace there were meaningful differences between teachers form school forest model schools and ones from common schools, which was thought to be due to positive effects of school forest movement. It appeared that environmental education was carried out through audio-visual materials once a week in most schools. On the other hand, as for class places, 'classroom in parallel with outdoor class' and 'classroom education' appeared to be carried out most frequently in the case of school forest model schools, and 'classroom education' in the case of common schools. However, considering the fact that 'field learning' the most important element in environmental education, appeared to be carried out least frequently in both of the groups, which suggests that we should improve it for future through introduction of various field-experience learning programs. As a result of the survey of satisfaction with environmental education, some meaningful differences were recognized between school forest schools and common schools, and 'presence or absence of field learning spaces' was the most frequently answered reason for 'satisfied' and 'unsatisfied'. Thus, 'schools' and related institutions' enthusiastic efforts are needed for providing field-experience spaces where children can directly access to and explore into nature.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.11
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• pp.1403-1410
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• 2020

Recently, as interest in non-face-to-face experiences and services increases, the demand for web video contents that can be easily consumed using mobile devices such as smartphones or tablets is rapidly increasing. To cope with these requirements, in this paper we propose a technique to efficiently produce video contents that can provide experience of visiting famous places (i.e., stage tour) in animation or movies. To this end, an image dataset was established by collecting images of stage areas using Google Maps and Google Street View APIs. Afterwards, a deep learning-based style transfer method to apply the unique style of animation videos to the collected street view images and generate the video contents from the style-transferred images was presented. Finally, we showed that the proposed method could produce more interesting stage-tour video contents through various experiments.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.51-57
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• 2021

In this paper, we propose a method to find the DoF(Depth of field) that is blurred in an image by focusing and out-focusing the camera through a efficient convolutional neural network. Our approach uses the RGB channel-based cross-correlation filter to efficiently classify the DoF region from the image and build data for learning in the convolutional neural network. A data pair of the training data is established between the image and the DoF weighted map. Data used for learning uses DoF weight maps extracted by cross-correlation filters, and uses the result of applying the smoothing process to increase the convergence rate in the network learning stage. The DoF weighted image obtained as the test result stably finds the DoF region in the input image. As a result, the proposed method can be used in various places such as NPR(Non-photorealistic rendering) rendering and object detection by using the DoF area as the user's ROI(Region of interest).

• Journal of Broadcast Engineering
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• v.26 no.6
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• pp.778-789
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• 2021

Recently, various lightweight methods for using Convolutional Neural Network(CNN) models in mobile devices have emerged. Weight quantization, which lowers bit precision of weights, is a lightweight method that enables a model to be used through integer calculation in a mobile environment where GPU acceleration is unable. Weight quantization has already been used in various models as a lightweight method to reduce computational complexity and model size with a small loss of accuracy. Considering the size of memory and computing speed as well as the storage size of the device and the limited network environment, this paper proposes a method of compressing integer weights after quantization using a video codec as a method. To verify the performance of the proposed method, experiments were conducted on VGG16, Resnet50, and Resnet18 models trained with ImageNet and Places365 datasets. As a result, loss of accuracy less than 2% and high compression efficiency were achieved in various models. In addition, as a result of comparison with similar compression methods, it was verified that the compression efficiency was more than doubled.