• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.6
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• pp.1026-1031
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• 2008

Nowdays, homes and small businesses rely more and more PON(Passive Optical Networks) for financial transactions, private communications and even telemedicine. Thus, encryption for these data transactions is very essential due to the multicast nature of the PON In this parer, we presented our implementation of a counter mode AES based on Virtex4 FPGA. Our design exploits three advanced features; 1) Composite field arithmetic SubByte, 2) efficient MixColumn transformation 3) and on-the-fly key-scheduling for fully pipelined architecture. By pipeling the composite field implementation of the S-box, the area cost is reduced to average 17 percent. By designing the on-the-fly key-scheduling, we implemented an efficient key-expander module which is specialized for a pipelined architecture.

• Journal of the Society of Naval Architects of Korea
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• v.46 no.6
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• pp.667-674
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• 2009

The researches on the development of composite material underwater vehicle propeller have been actively attempted for the reduction of radiation noise with outstanding damping effects. Composite material propellers have almost been designed and produced by the foreign experts, and it is difficult to obtain the related informations about their flow, vibration, material characteristics because they are treated as the secrets with close relationship to the military technology, especially in the case of underwater vehicles. For the security of domestic manufacture of composite material propeller and the comparison and examination of its performance and radiation noise characteristics with those of German CONTUR composite material propeller, two propellers were self-produced according to the fiber weaving and array using compressible molding process and their self performances and radiation noise characteristics were measured. The mean fluctuations of blade tip of self-produced composite material propeller were increased and the radiation noises in the low frequency band were reduced compared to those of CONTUR, which could be estimated as the change of material characteristics and also be thought to be used for the future research informations.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.37-43
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• 2018

Science DMZ is a network architecture that considers complicated network components such as dedicated network, DTN, and minimum security policy to maximize transfer efficiency. And DTN tuning is an essential component to take full advantage of Science DMZ's available bandwidth. In addition, tuning of network system should be performed concurrently to minimize packet loss due to network bottleneck. In this paper, we propose a tuning method of data transfer node and network system for maximizing transfer efficiency in Science DMZ network architecture. As a result of the performance measurement using the KREONET, the network performance after the DTN tuning shows 180% improvement than that of existing method without DTN tuning. In addition, performance of 9.4Gb/s was shown without loss of performance measurement after tuning network system applying shaping policy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.751-770
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• 2019

Action recognition is an essential task in computer vision due to the variety of prospective applications, such as security surveillance, machine learning, and human-computer interaction. The availability of more video data than ever before and the lofty performance of deep convolutional neural networks also make it essential for action recognition in video. Unfortunately, limited crafted video features and the scarcity of benchmark datasets make it challenging to address the multi-person action recognition task in video data. In this work, we propose a deep convolutional neural network-based Effective Hybrid Learning (EHL) framework for two-person interaction classification in video data. Our approach exploits a pre-trained network model (the VGG16 from the University of Oxford Visual Geometry Group) and extends the Faster R-CNN (region-based convolutional neural network a state-of-the-art detector for image classification). We broaden a semi-supervised learning method combined with an active learning method to improve overall performance. Numerous types of two-person interactions exist in the real world, which makes this a challenging task. In our experiment, we consider a limited number of actions, such as hugging, fighting, linking arms, talking, and kidnapping in two environment such simple and complex. We show that our trained model with an active semi-supervised learning architecture gradually improves the performance. In a simple environment using an Intelligent Technology Laboratory (ITLab) dataset from Inha University, performance increased to 95.6% accuracy, and in a complex environment, performance reached 81% accuracy. Our method reduces data-labeling time, compared to supervised learning methods, for the ITLab dataset. We also conduct extensive experiment on Human Action Recognition benchmarks such as UT-Interaction dataset, HMDB51 dataset and obtain better performance than state-of-the-art approaches.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.498-506
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• 2018

Recently, the US commanded a wargame simulation system of a combined ROK-US exercise with single federation. However, after the OPCON transfer, many limitations to the single federation have been cited such as security policies and information protection. We suggest a hierarchical federation as a way to overcome these problems. Regarding HLA rules, the participants use the same FOM and RTI in single federation. There are limitations to implement CI in applying heterogeneous FOMs and RTIs in current single federation. Therefore, we propose implementing CI with heterogeneous FOMs and RTIs in a hierarchical federation. This system overcomes the weaknesses of the system structure, which is a disadvantage of the single federation. In the federation test, we can apply heterogeneous FOMs and RTIs and achieve similar performance to the current combined exercise simulation. In conclusion, ROK should lead the simulation system of combined exercises using the CI after the OPCON transfer.

• Journal of the Korean Institute of Rural Architecture
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• v.23 no.4
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• pp.30-37
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• 2021

The way to check whether the urban regeneration project is going in the right direction is fundamental for understanding the satisfaction of local residents relevant to the project. This study aims to analyze the satisfaction of residents by selecting factors that affect the satisfaction of Namhae-gun residents with urban regeneration projects. Through this, after examining whether the project is being implemented well in accordance with the purpose of the urban regeneration new deal project, this study presents the direction of the Namhae-gun urban regeneration new deal project. In result, in the case of the resident group, satisfaction with security and landscape influenced satisfaction with the entire project. In addition, publicity for urban regeneration projects had the greatest impact on satisfaction, and other neighborhood reliability, urban regeneration-related education, and meetings had the greatest impact on satisfaction with the project. In the case of the merchant group, it was found that the satisfaction with the entire project increased when the satisfaction with the public relations. However, it was found that physical factors, that is, factors for improving the living environment, did not affect satisfaction with urban regeneration projects. The findings of this study, as local parts of Namhae-gun urban regeneration project progresses, can be further expanded to the holistic county level.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.319-328
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• 2021

Purpose: Recently, a large social disaster has called for the need to diagnose social disaster safety, and the Ministry of Public Administration and Security calculates and publishes regional safety ratings such as regional safety index and national safety diagnosis every year. The existing safety diagnosis system uses equal intervals or normal distribution to grade risk maps in a uniform manner. Method: However, the equidistant technique can objectively analyze risk ratings, but there is a limit to classifying risk ratings when the distribution is skewed to one side, and the z-score technique has a problem of losing credibility if the population does not follow a normal distribution. Because the distribution of statistical data varies from indicator to indicator, the most appropriate rating should be applied for each data distribution. Result: Therefore, in this paper, we analyze the data of disaster indicators and present a comparison and suitable method for traditional equidistant and natural brake techniques to proceed with optimized grading for each indicator. Conclusion: As a result, three of the six new indicators were applied differently from conventional grading techniques

• Journal of The Korea Institute of Healthcare Architecture
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• v.29 no.1
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• pp.53-62
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• 2023

Purpose: Recently, the number of severely mentally ill patients has been increasing rapidly in Korea, but there are no design guidelines for spatial planning of Korea's acute psychiatric wards. The study aims to clarify the areas and required rooms in Korea's acute psychiatric wards which are important in establishing the design guidelines for Korea's acute psychiatric wards. Methods: This study proposed a structural framework based on the results of investigating and analyzing the acute psychiatric ward guidelines in the UK, Australia, and the U.S. and the areas and the required rooms of the wards stipulated in the basic data for establishing acute psychiatric ward design guidelines in Korea. The design guidelines for overseas acute psychiatric wards are 'Adult Acute Mental Health' in the UK, 'Adult Acute Mental Health Inpatient Unit' in the Australia, and 'Specific Requirements for Mental Health Hospitals' in the United States. Results: As a result of investigating and analyzing the design guidelines for overseas acute psychiatric wards, the areas of wards applicable to acute wards in domestic psychiatric wards were access, patient, treatment, support, and employee areas. In addition, the required rooms for each area were defined around major considerations such as visibility, convenience, comfort, security, safety, patient observation, barrier-free design, and privacy protection. Implications: The results of the study will be presented as a structural framework and basic data for establishing design guidelines for Korea's acute psychiatric wards, which is still absent.

• Journal of Korean Society of Rural Planning
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• v.28 no.4
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• pp.83-91
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• 2022

The goal of this study is to promote the spread of environmentally friendly agricultural products, which have been receiving a lot of attention lately, as a way to improve food safety and quality. As a result of the increased labor input, increased production costs, and an aging population, environmentally friendly agriculture is making it more difficult for farmers to expand their enterprises. In the meantime, consumers find it difficult to spread eco-friendly agricultural products due to their high expectations for safety and quality, as well as the desire to purchase products at a reasonable price. Previous studies have revealed differences in perceptions between eco-friendly agricultural producers and consumers. In light of this, this study divided consumers based on their characteristics (such as age, purchase history, health concerns, etc.), and different policies were proposed in order to increase purchasing factors for each group based on their characteristics. In order to gather information for this study, general citizens were asked about their perceptions of eco-friendly agricultural products, future purchase intentions and awareness, reliability, necessity, purpose, and information sources. A two-step clustering analysis was conducted using nominal and continuous variables simultaneously. The paper presents the three derived group differences (senior organic interest group, middle-aged organic interest group, and indifferent young organics) as well as group differences for the purchasing/non-purchasing factor analysis and policy improvement for each group. An eco-friendly agricultural product distribution proposal was made at the end of this article.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3383-3397
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• 2023

Scene graphs serve as semantic abstractions of images and play a crucial role in enhancing visual comprehension and reasoning. However, the performance of Scene Graph Generation is often compromised when working with biased data in real-world situations. While many existing systems focus on a single stage of learning for both feature extraction and classification, some employ Class-Balancing strategies, such as Re-weighting, Data Resampling, and Transfer Learning from head to tail. In this paper, we propose a novel approach that decouples the feature extraction and classification phases of the scene graph generation process. For feature extraction, we leverage a transformer-based architecture and design an adaptive calibration function specifically for predicate classification. This function enables us to dynamically adjust the classification scores for each predicate category. Additionally, we introduce a Distribution Alignment technique that effectively balances the class distribution after the feature extraction phase reaches a stable state, thereby facilitating the retraining of the classification head. Importantly, our Distribution Alignment strategy is model-independent and does not require additional supervision, making it applicable to a wide range of SGG models. Using the scene graph diagnostic toolkit on Visual Genome and several popular models, we achieved significant improvements over the previous state-of-the-art methods with our model. Compared to the TDE model, our model improved mR@100 by 70.5% for PredCls, by 84.0% for SGCls, and by 97.6% for SGDet tasks.