• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.381-391
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• 2022

This paper is intended to find one of the prevailing deep learning models that are a type of AI (Artificial Intelligence) that helps rapidly detect damaged buildings where disasters occur. The models selected are SSD-512, RetinaNet, and YOLOv3 which are widely used in object detection in recent years. These models are based on one-stage detector networks that are suitable for rapid object detection. These are often used for object detection due to their advantages in structure and high speed but not for damaged building detection in disaster management. In this study, we first trained each of the algorithms on xBD dataset that provides the post-disaster imagery with damage classification labels. Next, the three models are quantitatively evaluated with the mAP(mean Average Precision) and the FPS (Frames Per Second). The mAP of YOLOv3 is recorded at 34.39%, and the FPS reached 46. The mAP of RetinaNet recorded 36.06%, which is 1.67% higher than YOLOv3, but the FPS is one-third of YOLOv3. SSD-512 received significantly lower values than the results of YOLOv3 on two quantitative indicators. In a disaster situation, a rapid and precise investigation of damaged buildings is essential for effective disaster response. Accordingly, it is expected that the results obtained through this study can be effectively used for the rapid response in disaster management.

• Journal of Nutrition and Health
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• v.35 no.4
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• pp.446-453
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• 2002

Effects of the two oriental medicinal prescriptions, Jahyulyangeuntang (JH) and Yanghyuljangeunkeonbohwan (YH), on intestinal calcium absorption were examined in the human colon carcinoma tell line, Caco-2 cells. Intestinal calcium absorption was evaluated at the level of Ca uptake into the cells across the brush border membranes, as well as at the level of net Ca transport (implying the amount of intestinal Ca transported into the blood stream). When the Caco-2 cells were incubated for 4, 8, 16 and 24 days post seeding, the cells were differentiated continuously, and showed progressively increased activities of Ca uptake (1.13 $\pm$ 0.04, 1.19 $\pm$ 0.02, 1.94 $\pm$ 0.03, and 2.40 $\pm$ 0.12 nmole.mg protein$^{-1}$ .30 min$^{-1}$ , respectively). Pretreatment of confluent Caco-2 cells with 50 $\mu\textrm{g}$/ml of YH for 24 hours resulted in a 30% increase in Ca uptake (p < 0.07), while pretreatment of the cells with the same concentration of JH for 6 hours resulted in a 24% increase (p < 0.05) in Ca uptake, compared to the value for the control cells (2.34 $\pm$ 0.10 nmole.mg protein$^{-1}$ .30 min$^{-1}$ ). When the cells were pretreated with varied concentrations (5-100 $\mu\textrm{g}$/ml) of the test samples for 6 hours, maximal increases in Ca uptake were observed in the cells pretreated with 100 $\mu\textrm{g}$/ml of YH (a 23% increase), and 50 $\mu\textrm{g}$/ml of JH (a 28% increase), respectively : however, no influence was seen on the net Ca transport activity. These results show that pretreatment with JH or YH, the two oriental medicinal prescriptions commonly used for improvement of bone metabolism, could possibly increase Ca accumulation inside the cells. but not the intestinal Ca net transport in vitro.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.3
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• pp.291-315
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• 2019

The aim of the present study was to compare the research trends on disinformation between Korean and abroad. To achieve this objective, a total of 283 author-assigned English keywords in 104 Korean papers and 3,551 author-assigned English keywords in 861 abroad papers were collected from the whole research fields and the publication periods. The collected data were analyzed using NetMiner V.4 to discover their 'degree centrality' and 'betweenness centrality'of the keyword network. The result are as follows. First, the major research topics of disinformation in Korea were drawn such as 'Freedom of Expression', 'Fact Check', 'Regulation', 'Media Literacy', and 'Information Literacy' in order; whereas, in abroad were shown like 'Social Media', 'Post Truth', 'Propaganda', 'Information Literacy', and 'Journalism' in order. Second, in terms of the influence of research topics related to disinformation, in Korea were identified such as 'Fact Check', 'Freedom of Expression', and 'Hoax' in order; whereas, in abroad were shown such as 'Social Media' and 'Detection' in order. Finally, in an aspect of intervention of research topics related to disinformation, in Korea were 'Fact Check', 'Polarization', 'Freedom of Expression', and 'Commercial'; whereas, in abroad were 'Social Media', 'Detection', and 'Machine Learning' in order.

• Journal of Korean Society of Rural Planning
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• v.22 no.4
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• pp.25-36
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• 2016

The purpose of this study is to construct a quantitative evaluation method that can analyze the policy effectiveness with the construction of a implicit composite index incorporating spatial econometrics models. In order to propose a methodological framework for the program evaluation, this study conducts an empirical analysis with the application of the Comprehensive Rural Village Development Project (CRVDP) which explicitly claims to achieve comprehensive goal of community development. The present study pays particular attention to quantifying the composite evaluation index and drawing net effect through the application of a series of spatial econometrics models. The spatial unit of the analysis is drawn at Eup-Myeon level in rural areas in Korea, and the time horizon is in between 2005 and 2010. We utilize the Korean Agricultural Census data in 2005 and 2010. Three steps of methodological processes are needed to satisfy the objective of the present study. First, we apply factor analysis to construct the composite index that represents comprehensive settlement environment in rural area. The index should be matched with the main objective of the CRVDP. Second, we apply the derived index to a series of spatial econometrics model as dependent variable. Lastly, utilizing the estimated coefficients of the econometrics models, we apply decomposition technique to estimate CRVDP's net effect from both cross-sectional and longitudinal perspectives. We find that the results of the decomposition analysis by the execution of the CRVDP are positively associated with the explicit object of the project.

• The Journal of the Korea Contents Association
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• v.7 no.5
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• pp.128-137
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• 2007

Digital cinema industry in Korea is developing very fast. It makes the structure of Korea film industry being changed with outstanding D.I process, reduction of production cost, the convenience of distribution & screening and easy transferring to other platforms. The main reason of this fast development is due to Korea film industry monopoly structure by a few companies. In addition, Huge Korea mobile communication companies are pushing Digital cinema industry to go faster with their own net work and platforms. However, Korea digital cinema industry still has problems like standardization in releasing, the lake of data in post-production and overuse in production. It is the time that we have to think about best way for the healthy development of Korea digital cinema industry more than the fast development of it.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.7
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• pp.140-148
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• 2013

This paper presents a iterative Bose-Chaudhuri-hocquenghem (i-BCH) code and its high-speed decoder architecture for 100 Gb/s optical communications. The proposed architecture features a very high data processing rate as well as excellent error correction capability. The proposed 6-iteration i-BCH code structure with interleaving method allows the decoder to achieve 9.34 dB net coding gain performance at $10^{-15}$ decoder output bit error rate to compensate for serious transmission quality degradation. The proposed high-speed i-BCH decoder architecture is synthesized using a 90-nm CMOS technology. It can operate at a clock frequency of 430 MHz and achieve a data processing rate of 100 Gb/s. Thus, it has potential applications in next generation forward error correction (FEC) schemes for 100 Gb/s optical communications.

• Korean Journal of Ophthalmology
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• v.32 no.6
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• pp.497-505
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• 2018

Purpose: To evaluate and compare published methods of calculating intraocular lens (IOL) power following myopic laser refractive surgery. Methods: We performed a retrospective review of the medical records of 69 patients (69 eyes) who had undergone myopic laser refractive surgery previously and subsequently underwent cataract surgery at Samsung Medical Center in Seoul, South Korea from January 2010 to June 2016. None of the patients had pre-refractive surgery biometric data available. The Haigis-L, Shammas, Barrett True-K (no history), Wang-Koch-Maloney, Scheimpflug total corneal refractive power (TCRP) 3 and 4 mm (SRK-T and Haigis), Scheimpflug true net power, and Scheimpflug true refractive power (TRP) 3 mm, 4 mm, and 5 mm (SRK-T and Haigis) methods were employed. IOL power required for target refraction was back-calculated using stable post-cataract surgery manifest refraction, and implanted IOL power and formula accuracy were subsequently compared among calculation methods. Results: Haigis-L, Shammas, Barrett True-K (no history), Wang-Koch-Maloney, Scheimpflug TCRP 4 mm (Haigis), Scheimpflug true net power 4 mm (Haigis), and Scheimpflug TRP 4 mm (Haigis) formulae showed high predictability, with mean arithmetic prediction errors and standard deviations of $-0.25{\pm}0.59$, $-0.05{\pm}1.19$, $0.00{\pm}0.88$, $-0.26{\pm}1.17$, $0.00{\pm}1.09$, $-0.71{\pm}1.20$, and $0.03{\pm}1.25$ diopters, respectively. Conclusions: Visual outcomes within 1.0 diopter of target refraction were achieved in 85% of eyes using the calculation methods listed above. Haigis-L, Barrett True-K (no history), and Scheimpflug TCRP 4 mm (Haigis) and TRP 4 mm (Haigis) methods showed comparably low prediction errors, despite the absence of historical patient information.

• Smart Structures and Systems
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• v.31 no.4
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• pp.351-363
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• 2023

Visual structural inspections are an inseparable part of post-earthquake damage assessments. With unmanned aerial vehicles (UAVs) establishing a new frontier in visual inspections, there are major computational challenges in processing the collected massive amounts of high-resolution visual data. We propose twin deep learning models that can provide accurate high-resolution structural components and damage segmentation masks efficiently. The traditional approach to cope with high memory computational demands is to either uniformly downsample the raw images at the price of losing fine local details or cropping smaller parts of the images leading to a loss of global contextual information. Therefore, our twin models comprising Trainable Resizing for high-resolution Segmentation Network (TRS-Net) and DmgFormer approaches the global and local semantics from different perspectives. TRS-Net is a compound, high-resolution segmentation architecture equipped with learnable downsampler and upsampler modules to minimize information loss for optimal performance and efficiency. DmgFormer utilizes a transformer backbone and a convolutional decoder head with skip connections on a grid of crops aiming for high precision learning without downsizing. An augmented inference technique is used to boost performance further and reduce the possible loss of context due to grid cropping. Comprehensive experiments have been performed on the 3D physics-based graphics models (PBGMs) synthetic environments in the QuakeCity dataset. The proposed framework is evaluated using several metrics on three segmentation tasks: component type, component damage state, and global damage (crack, rebar, spalling). The models were developed as part of the 2^nd International Competition for Structural Health Monitoring.

• JSTS:Journal of Semiconductor Technology and Science
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• v.1 no.4
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• pp.216-231
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• 2001

Several methods for improving device yields and characteristics have been studied by IC manufacturers, as the options for programming components become diversified through the introduction of novel processes. Especially, the sequential repair steps on wafer level and package level are essentially required in DRAMs to improve the yield. Several repair methods for DRAMs are reviewed in this paper. They include the optical methods (laser-fuse, laser-antifuse) and the electrical methods (electrical-fuse, ONO-antifuse). Theses methods can also be categorized into the wafer-level(on wafer) and the package-level(post-package) repair methods. Although the wafer-level laser-fuse repair method is the most widely used up to now, the package-level antifuse repair method is becoming an essential auxiliary technique for its advantage in terms of cost and design efficiency. The advantages of the package-level antifuse method are discussed in this paper with the measured data of manufactured devices. With devices based on several processes, it was verified that the antifuse repair method can improve the net yield by more than 2%~3%. Finally, as an illustration of the usefulness of the package-level antifuse repair method, the repair method was applied to the replica delay circuit of DLL to get the decrease of clock skew from 55ps to 9ps.

• Rapid Communication in Photoscience
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• v.1 no.1
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• pp.21-24
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• 2012

Influence of gamma rays on the cyanobacterium Synechocystis sp. PCC 6803 cells was investigated in terms of a bidirectional hydrogenase, which is encoded by hoxEFUYH genes and responsible for biohydrogen production. Irradiated cells revealed a substantial change in stoichiometry of photosystems at one day after gamma irradiation at different doses. However, as evaluated by the maximal rate of photosynthetic oxygen evolution, maximal photochemical efficiency of photosystem II, and chlorophyll content, net photosynthesis or photosynthetic capacity was not significantly different between the control and irradiated cells. Instead, transcription of hoxE, hoxH, or lexA, which encodes a subunit of bidirectional hydrogenase or the only transcriptional activator, LexA, for hox genes, was commonly enhanced in the irradiated cells. This transcriptional enhancement was more conspicuously observed immediately after gamma irradiation. In contrast, hydrogenase activities were found to somewhat lower in the irradiated cells. Therefore, we propose that transcription of hox genes should be enhanced by gamma irradiation in a LexA-mediated and possibly photosynthesis-independent manner and that this enhancement might not induce a subsequent increase in hydrogenase activities, probably due to the presence of post-transcriptional and/or post-translational regulatory mechanisms.