• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.1
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• pp.178-184
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• 2015

This paper proposes a hardware architecture for high performance Deblocking filter(DBF) in High Efficiency Video Coding for UHD(Ultra High Definition) videos. This proposed hardware architecture which has less processing time has a 4-stage pipelined architecture with two filters and parallel boundary strength module. Also, the proposed filter can be used in low-voltage design by using clock gating architecture in 4-stage pipeline. The segmented memory architecture solves the hazard issue that arises when single port SRAM is accessed. The proposed order of filtering shortens the delay time that arises when storing data into the single port SRAM at the pre-processing stage. The DBF hardware proposed in this paper was designed with Verilog HDL, and was implemented with 22k logic gates as a result of synthesis using TSMC 0.18um CMOS standard cell library. Furthermore, the dynamic frequency can process UHD 8k($7680{\times}4320$) samples@60fps using a frequency of 150MHz with an 8K resolution and maximum dynamic frequency is 285MHz. Result from analysis shows that the proposed DBF hardware architecture operation cycle for one process coding unit has improved by 32% over the previous one.

• Korean Journal of Remote Sensing
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• v.35 no.5_1
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• pp.637-647
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• 2019

The detection of crop stress is an important issue for the accurate assessment of yield decline. The photochemical reflectance index (PRI) was developed as a remotely sensed indicator of light use efficiency (LUE). The PRI has been tested in crop stress detection and a number of studies demonstrated the feasibility of using it. However, only few studies have focused on the use of PRI from remote sensing imagery. The monitoring of PRI using drone and satellite is made difficult by the low spectral resolution image captures. In order to estimate PRI from multispectral sensor, we propose a band fusion method using adjacent bands. The method is applied to the drone-based hyperspectral and multispectral imagery and estimated PRI explain 79% of the original PRI. And time series analyses showed that two PRI data (drone-based and SRS sensor) had very similar temporal variations. From these results, PRI from multispectral imagery using band fusion can be used as a new method for evaluation of crop stress.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.26 no.1
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• pp.49-61
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• 2021

The repeated shipboard measurements that have been conducted by the National Institute of Fisheries Science (NIFS) for more than a half century, provide the valuable long-term hydrographic data with high spatial-temporal resolution. However, this unprecedent dataset has been rarely used for oceanic climate sciences because of its reliability issue. In this study, temporal variability of salinity error in the NIFS data was quantified by means of extremely small variability of salinity in the deep layer of the south-western East Sea, in order to contribute to studies on long-term variability of the East Sea. The NIFS salinity errors estimated on the isothermal surfaces of 1℃ have a remarkable temporal variation, such as ~0.160 g/kg in the year of 1961~1980, ~0.060 g/kg in 1981~1994,~0.020 g/kg in 1995~2002, and ~0.010 g/kg in 2003~2014 on average, which basically represent bias error. In the recent years, even though the quality of salinity has been improved, there still remain relatively large bias errors in salinity data presumably due to failure of salinity sensor managements, especially in 2011, 2013, and 2014. On the contrary, the salinity in the year of 2012 was very accurate and stable, whose error was estimated as about 0.001 g/kg comparable to the salinity sensor accuracy. Thus, as long as developing proper data quality control procedures and sensor management systems, I expect that the NIFS shipboard hydrographic data could have good enough quality to support various studies on ocean response to climate variabilities. Additionally, a few points to improve the current NIFS shipboard measurements were suggested in the discussion section.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.4
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• pp.577-586
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• 2022

The increasing trade volume between Korea and China has rapidly expanded the maritime transport between the two countries. However, safety, particularly considering the ship collisions in the Yellow Sea and East Sea waters, has not been fully ensured. These collision accidents in that region endanger traffic safety and the marine environment, moreover, it has the potential to cause legal complexity because Korea and China haver domestic legislation, that are considerably different in some aspects. International conventions and domestic legislation in China provide detailed laws with respect to ship collisions, however, the theory of ship collision infringement still needs to be improved, enriched, and developed. Because these laws are not very clear on the resolution of disputes resulting from ship collisions, we focused on the final judgments by the Supreme Court of China (SPC), and the judicial judgments set by the Maritime Court of China. This study aimed to explore the domestic legislation applicable to disputes related to ship collisions in China, and comparatively investigate the legal provisions of Korea and China on the issue of ship collisions, particularly on the aspect of damage compensation, fault ration, and liability apportionment.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.385-391
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• 2022

Quality evaluation of beef carcasses is an important issue in the livestock industry. Recently, through the AI monitor system based on artificial intelligence, the quality manager can receive help in making accurate decisions based on the analysis of beef carcass images or result information. This artificial intelligence dataset is an important factor in judging performance. Existing datasets may have different surface orientation or resolution. In this paper, we proposed a two-stage classification model that can efficiently manage the grades of beef carcass image using deep learning. And to overcome the problem of the various conditions of the image, a new dataset of 1,300 images was constructed. The recognition rate of deep network for 5-grade classification using the new dataset was 72.5%. Two-stage evaluation is a method to increase reliability by taking advantage of the large difference between grades 1++, 1+, and grades 1 and 2 and 3. With two experiments using the proposed two stage model, the recognition rates of 73.7% and 77.2% were obtained. As this, The proposed method will be an efficient method if we have a dataset with 100% recognition rate in the first stage.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.63-80
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• 2022

As a technology to analyze and predict an issue has been developed by constructing real space into virtual space, it is becoming more important to acquire precise spatial information in complex cities. In this study, images were acquired using an unmanned aerial vehicle for urban area with complex landscapes, and land cover classification was performed object-based image analysis and semantic segmentation techniques, which were image classification technique suitable for high-resolution imagery. In addition, based on the imagery collected at the same time, the replicability of land cover classification of each artificial intelligence (AI) model was examined for areas that AI model did not learn. When the AI models are trained on the training site, the land cover classification accuracy is analyzed to be 89.3% for OBIA-RF, 85.0% for OBIA-DNN, and 95.3% for U-Net. When the AI models are applied to the replicability assessment site to evaluate replicability, the accuracy of OBIA-RF decreased by 7%, OBIA-DNN by 2.1% and U-Net by 2.3%. It is found that U-Net, which considers both morphological and spectroscopic characteristics, performs well in land cover classification accuracy and replicability evaluation. As precise spatial information becomes important, the results of this study are expected to contribute to urban environment research as a basic data generation method.

• Journal of the Korea Computer Graphics Society
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• v.29 no.3
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• pp.117-125
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• 2023

In the development of clothing design through virtual simulation, it is essential to minimize the differences between the virtual and the real world as much as possible. The most critical task to enhance the similarity between virtual and real garments is to find simulation parameters that can closely emulate the physical properties of the actual fabric in use. The simulation parameter optimization process requires manual tuning by experts, demanding high expertise and a significant amount of time. Especially, considerable time is consumed in repeatedly running simulations to check the results of applying the tuned simulation parameters. Recently, to tackle this issue, artificial neural network learning models have been proposed that swiftly estimate the results of drape test simulations, which are predominantly used for parameter tuning. In these earlier studies, relatively simple linear stiffness models were used, and instead of estimating the entirety of the drape mesh, they estimated only a portion of the mesh and interpolated the rest. However, there is still a scarcity of research on non-linear stiffness models, which are commonly used in actual garment design. In this paper, we propose a learning model for estimating the results of drape simulations for non-linear stiffness models. Our learning model estimates the full high-resolution mesh model of drape. To validate the performance of the proposed method, experiments were conducted using three different drape test methods, demonstrating high accuracy in estimation.

• Journal of Space Technology and Applications
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• v.3 no.2
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• pp.165-198
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• 2023

According to the studies recently published through advanced maui optical and space surveillance technologies (AMOS) Conference 2021, LEO conjunction assessment revolves around not on operating satellites but space debris such as rocket bodies and non-operational satellites, hence suggesting a solution through space traffic management. Against this backdrop, the issue of active debris removal (ADR) has emerged to the surface as an international challenge throughout the globe. In step with this, the United Nations General Assembly approved a resolution calling on nations to halt tests of direct-ascent anti-satellites, to which U.S. and twelve other nations included Republic of Korea were original signatories. ADR techniques are also actively being researched in the civil sector, and these commercial services, if successfully developed, could possibly be utilized for military use as well. As such, this paper will help readers' understanding for the current status of ADR techniques, space threat assessments, on-orbit rendezvous and proximity operations by looking at previous cases, reflecting on space-faring nations' ADR techniques and its development probability in relation to space weapons. As a conclusion, this study will propose the needs of developing space propulsion system by understanding Space Maneuver Warfare in preparation for the future space battlefield.

• Journal of the Daesoon Academy of Sciences
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• v.22
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• pp.471-507
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• 2014

Edification in Daesoonjinrihoe is not only a phenomenon that occurs following the differences of religious experience or spiritual development among the community members, which enables the members to share teaching and learning experiences with one another, but also an issue determined as one of the major activities of the religious order and a plan for achieving the purpose of the religious order-Podeokchenha(Wordly Propagation), Gujechansaeng (Salvation of all mankind) and Jisangcheonguk Geonseol(Building of earthly paradise). The purpose of this article is to clarify its concept and provide an example of edification, through considering the historical model for edification to help the cultivators with their work of edification. The archetype of edification of Daesoonjinrihoe was formed and gradually developed in phases by Sangje, Kang Jeungsan, the Supreme God(姜甑山, 1871-1909), Doju, Jo Jeongsan(趙鼎山, 1895-1958) and Dojeon, Park Wudang(朴牛堂, 1917-1995), by the three of whom the Religious Authority was succeeded. Sangje descended to the human world and preached to people to live by the rule of Haewon Sangsaeng(Resolution of grievances for the mutual beneficences of all life) and set an example of abolishing the old customs, living in mutual beneficences and having respect for human being. Doju, in revering the last will of Sangje, established the religious order by setting its creed, rituals and activities, which formed most contents of the archetype of edification. Dojeon set up a religious faith system by firmly establishing the Religious Authority and performed the True Law in accordance with Sangje's program of heaven to educate the cultivators to achieve the goal of self-cultivation following the last will of Doju. Through this, a perfect method to reach the state of Dotong(The Truly Unified State of Dao) is fulfilled. In this way, the archetype of edification was formed in the process of succession of Religious Authority. In conclusion, edification in Daesoonjinrihoe contributes to a 'systematic conveyance and understanding' through the historical archetype of edification, and it can be described as a concept that becomes a model to put into practice the 'True Law' of teachings given by two Sangjes for Dotong. Therefore, edification of Daesoonjinrihoe is drawing attention of its development as an important activity that realizes the ultimate value of the religious order because it solves the problems of immorality(absence of Dao), disorder and disregard of human value generated from the other side of this material civilization, with the truth of Haewon Sangsaeng, and has a function of rebuilding and leading the individuals and the society to the Truly Unified State of Dao through performing of the True Law.

• Korean Journal of Culture and Social Issue
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• v.24 no.3
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• pp.491-518
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• 2018

The purpose of this study was to compare with qualitative research articles on the grandparents' parenting experiences of grandchildren between those with primary responsibility and those with partial responsibility in Korean Journals since 2000. For the purpose of the study, this study analyzed research of 43 qualitative research articles(19 grandfamilies, 24 custodial grandparents), with respect to their objectives, basic annual trends, methodology, subject, category of content. The major findings are as follows. Firstly, the annual number of articles of grandfamilies are on an decreasing trend, while those of custodial grandparents are on an increasing trend. Secondly, the phenomenology and interview are frequently used in research of the two types of family. Thirdly, 6~10 participants were the most frequent number of participation in all of the family. However, demographics, caring circumstances, physical circumstances were significantly different in two types of family. Fourthly, caring categories of contents(the meaning, positive factor, conflict factor and resolution of conflicts) were also similar, while these were significant diffent in specific psychological experiences in all of the family. Based on the findings of this comparative study, suggestions for pratical services and implication for future study were proposed.