• Journal of Communications and Networks
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• v.7 no.4
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• pp.509-524
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• 2005

Due to the strict requirements of emerging applications, per-flow admission control is gaining increasing importance. One way to implement per-flow admission control is using an on­path resource reservation protocol, where the admission decision is made hop-by-hop after a new flow request arrives at the network boundary. The next-steps in signaling (NSIS) working group of the Internet engineering task force (IETF) is standardising such an on-path signaling protocol. One of the reservation methods considered by NSIS is reduced-state mode, which, suiting the differentiated service (DiffServ) concept, only allows per-class states in interior nodes of a domain. Although there are clear benefits of not dealing with per-flow states in interior nodes-like scalability and low complexity-, without per-flow states the handling of re-routed flows, e.g., after a failure, is a demanding and highly non-trivial task. To be applied in carrier-grade networks, the protocol needs to be resilient in this situation. In this article, we will explain the consequences of a route failover to resource reservation protocols: Severe congestion and incorrect admission decisions due to outdated reservation states. We will set requirements that handling solutions need to fulfill, and we propose extensions to reduced-state protocols accordingly. We show with a set of simulated scenarios that with the given solutions reduced-state protocols can handle re-routed flows practically as fast and robust as stateful protocols.

• Informatization Policy
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• v.23 no.3
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• pp.64-83
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• 2016

Although the government mandated classroom use of smart technology, there exist obstacles to adapting smart technology as a means of educational tools in class. This study aims to explore the preconditions for integrating smart technology and early childhood education. To meet this end, this study investigates preschool teachers' perceptions about the possible benefits or negative impacts of using smart media on child education. Results show that teachers have negative rather than positive perceptions and attitudes toward preschoolers' use of smart media, which implies that rendering teachers have positive impression on smart education is most important for fostering smart education.

• Journal of Korea Game Society
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• v.11 no.5
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• pp.79-88
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• 2011

The purpose of this study is to confirm meaning for quest-based learning designed as one of learning methods with new media, which the contents were made of QR code based on smart-phone. For this purpose, this study conducted 8 times of class during one month with 32 elementary third graders. And analysis for the result of this study was carried out MANOVA focus on four sub-factor of motivation. The results showed positive effect for quest-based learning in attention and confidence factor on motivation. Quest-based learning of gaming version as a learning method using various media can use a learning method for facilitation of learner participation, supporting of learning by doing.

• Nutrition Research and Practice
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• v.2 no.4
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• pp.259-268
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• 2008

Children's food behaviors have been expressed in a various ways because of recent changes in their family environment. Thus, this study was performed to investigate in-depth qualitative research on the mother's perception on children's food behaviors by focused group interview. This study was designed in four steps of planning, collection of participants, process, and analysis. Participants for the focus group interview were recruited and sampled from households with elementary school students in the Seoul and Gyeonggido areas. Groups were divided by total income and education expense levels. 1) High income household: It is better to improve currently existing web sites for nutrition education. 2) Mid income household: Easy, practical, and inexpensive off-line cooking class/nutrition education classes for mothers are needed. Nutrition programs for children should be developed through mass media and be promoted in the broadcasting circle. 3) Low income household: Motivation is required for mothers' educatior and the serious nutritional problems of children should be informed through mass media and home correspondence from school. And interesting educational materials should be developed for children to read whenever they want.

• Smart Media Journal
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• v.11 no.4
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• pp.38-45
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• 2022

Object detection models have become the current tool of choice for plant disease detection in precision agriculture. Most existing research improves the performance by ameliorating networks and optimizing the loss function. However, the data-centric part of a whole project also needs more investigation. In this paper, we proposed a systematic strategy with three different annotation methods for plant disease detection: local, semi-global, and global label. Experimental results on our paprika disease dataset show that a single class annotation with semi-global boxes may improve accuracy. In addition, we also studied the noise factor during the labeling process. An ablation study shows that annotation noise within 10% is acceptable for keeping good performance. Overall, this data-centric numerical analysis helps us to understand the significance of annotation methods, which provides practitioners a way to obtain higher performance and reduce annotation costs on plant disease detection tasks. Our work encourages researchers to pay more attention to label quality and the essential issues of labeling methods.

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.248-256
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• 2021

The purpose of this study was to introduce an application as a learning medium that can be used by students to prepare Solo bridal paes. This application can be used by make-up beginners who are learning about Solo bridal paes. This study used a quasi-experimental method with a randomized pretest-posttest control group. The paes application can be used as a medium in Solo bridal makeup learning, because it is highly effective in helping students prepare Solo bridal paes. This application is also considerably practical because it can be installed on smartphones. Experimental results revealed a difference between the control and experimental classes. Students in the experimental class could prepare paes neatly, and their shapes were proportional to the face of the model. The use of augmented reality as a medium to teach Solo bridal makeup, especially for making paes, is an innovation in the world of education. This application can help students make paes.

• Smart Media Journal
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• v.12 no.3
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• pp.30-37
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• 2023

Alzheimer's disease (AD) symptoms are being treated by early diagnosis, where we can only slow the symptoms and research is still undergoing. In consideration, using T1-weighted images several classification models are proposed in Machine learning to identify AD. In this paper, we consider the improvised feature selection, to reduce the complexity by using wrapping techniques and Restricted Boltzmann Machine (RBM). This present work used the subcortical and cortical features of 278 subjects from the ADNI dataset to identify AD and sMRI. Multi-class classification is used for the experiment i.e., AD, EMCI, LMCI, HC. The proposed feature selection consists of Forward feature selection, Backward feature selection, and Combined PCA & RBM. Forward and backward feature selection methods use an iterative method starting being no features in the forward feature selection and backward feature selection with all features included in the technique. PCA is used to reduce the dimensions and RBM is used to select the best feature without interpreting the features. We have compared the three models with PCA to analysis. The following experiment shows that combined PCA &RBM, and backward feature selection give the best accuracy with respective classification model RF i.e., 88.65, 88.56% respectively.

• Smart Media Journal
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• v.12 no.5
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• pp.88-101
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• 2023

As the definition and role of design changes over time with the times and society, design education needs to update teaching methods to match it. The course design in this study began with an optimisation of the learning model based on previous research and analysis, followed by in-depth interviews, the application of the interview results to the final curriculum design, and finally a questionnaire to verify the positive effects of this teaching model. This teaching model has been applied to teach a pilot class in a university of applied sciences in China. The main characteristics of the course design are Project-Based Learning (PJBL) oriented, team cooperation centric, and an educational model developed based on peer assessment. In every stage of the UI design course, realistic project simulations are adopted, enhancing students' abilities through practical experience, teamwork, and peer assessment. The innovation lies in validating the effectiveness and advantages of this model at every stage of the UI design course, innovating existing teaching methods, optimizing learning models, and combining practice with evaluation. This research found that a project-oriented team course design based on PJBL has a high degree of effectiveness and relevance in each stage of the UI design course, significantly improving students' overall competence. It is expected that the results of this study can be applied in various ways to the course design of the courses that similar to design majors.

• Smart Media Journal
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• v.13 no.8
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• pp.16-25
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• 2024

Recently, there has been a growing emphasis on identifying both known and unknown diseases in plant disease recognition. In this task, a model trained only on images of known classes is required to classify an input image into either one of the known classes or into an unknown class. Consequently, the capability to recognize unknown diseases is critical for model deployment. To enhance this capability, we are considering three factors. Firstly, we propose a new logits-based scoring function for unknown scores. Secondly, initial experiments indicate that a compact feature space is crucial for the effectiveness of logits-based methods, leading us to employ the AM-Softmax loss instead of Cross-entropy loss during training. Thirdly, drawing inspiration from the efficacy of transfer learning, we utilize a large plant-relevant dataset, PlantCLEF2022, for pre-training a model. The experimental results suggest that our method outperforms current algorithms. Specifically, our method achieved a performance of 97.90 CSA, 91.77 AUROC, and 90.63 OSCR with the ResNet50 model and a performance of 98.28 CSA, 92.05 AUROC, and 91.12 OSCR with the ConvNext base model. We believe that our study will contribute to the community.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.3
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• pp.29-50
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• 2020

The purpose of this study is to analyze the characteristics of the media contained in textbooks for students with disabilities based on the information processing model, and to find ways to utilize library materials for class improvement for them. To this end, the media included in the in-depth learning activities of the Korean language textbooks of the 2015 revised special education basic curriculum were analyzed. As a result of the analysis, it was found that students with disabilities received information mainly through vision, process information through understanding, and use language intelligence to produce results. Specifically, they accepts learning contents through illustrations and texts, processes the contents based on understanding such as reasoning and explanation, and then uses linguistic intelligence such as writing and speaking to produce results. Based on the results of this analysis, a practical method to utilize library materials in the Korean language class of students with disabilities was proposed as follows. Developing a variety of input mediums based on reading stages and collection mapping for students with disabilities. Providing book materials through reading and listening. Teaching appropriate methodological knowledge to self-directly solve advanced learning activities. In addition, developing types of writing and writing strategies that can help various production activities.