• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.575-584
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• 2012

A established military security tast based on existing manual and off-line needs the change and development to support effective and systematic task performance according to environment change of informational and scientific project in the military. Therefore this study suggests to set up the standard model of the defense integrated security system to automate and informationize major defense security task based on actual and problem in the area of major defense of security task and case analysis of these in America, England and other countries. The standard model consist of unit systems were made up integrated security system, security management system, man entrance system, vehicle entrance system, high-tech guard system, terror prevention system and the security accident analysis system, and this suggested model based on possible technology and system. If this model is apply to each real military unit, we will expect the development of defense security.

• Korean Journal of Plant Taxonomy
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• v.51 no.2
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• pp.115-132
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• 2021

Seven species and two varieties belonging to the genus Boehmeria Jacq. (Urticaceae) are known to be distributed in Korea. Among them, B. spicata, B. tricuspis, and B. tricuspis var. unicuspis were subjected to an external morphological study. Among the individuals believed to exhibit variations in the leaf shape, B. gracilis and B. silvestrii were newly recognized. Unlike related taxa, B. gracilis has middle leaves with an elliptic, broadly elliptic, ovate, or broadly depressed ovate shape, a regular and serrulate-dentate margin, and an unlobed and short caudate or cuspidate apex. Boehmeria silvestrii has middle leaves with 5-angled ovate, orbicular ovate or broadly ovate shapes, and 3- or 5-lobed and caudate apices. Therefore, we assigned the corresponding names 'Top-geo-buk-kko-ri' and 'Cham-geo-buk-kko-ri'. Meanwhile, the B. spicata complex (B. gracilis, B. silvestrii, B. spicata, and B. tricuspis var. unicuspis) is very closely related in terms of the morphological characters, whereas B. tricuspis exhibits no relationship. Furthermore, because the scientific name and type specimen of B. tricuspis var. unicuspis (Pul-geo-buk-kko-ri) are problematic, the correct name B. paraspicata Nakai and corresponding holotype are presented. Additionally, lectotypes of B. gracilis and B. silvestrii are newly designated here. A taxonomic treatment, descriptions, a key, photographs, type specimens, and leaf variation images of the B. spicata complex are provided in this study.

• Natural Product Sciences
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• v.26 no.4
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• pp.317-325
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• 2020

A new dimer stilbene [Monalittorin (1)] and ten known compounds [engeletin (2), aurantiamide acetate (3), lupeol (4), friedelin (5), quercetin (6), tiliroside (7), rutoside (8), astragalin (9), isoquercitrin (10) and quercimeritroside (11)] have been isolated from the leaves of Monanthotaxis littoralis (Annonaceae). The structures of these compounds were established by interpretation of their data, mainly, HR-TOFESIMS, 1-D NMR (1H and 13C) and 2-D NMR (1H-1H COSY, HSQC, HMBC and NOESY) and by comparison with the literature. The evaluation of their antimicrobial activities against three bacteria (Staphylococcus aureus ATCC 25923, Escherichia coli S2 (1) and Pseudomonas aeruginosa PA01) and three fungal strains (Candida albicans ATCC10231, Candida tropicalis PK233 and Cryptococcus neoformans H99) using broth micro dilution method, showed the largest antimicrobial activities of EtOAc fraction and compounds 1, 5, 6, 8 and 11 (MIC = 8 - 64 ㎍/mL). In addition, EtOAc fraction presented synergistic effect with Vancomycin and fluconazole against the tested microorganisms.

• Mass Spectrometry Letters
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• v.12 no.1
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• pp.1-10
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• 2021

A simple, specific, and economical LC-MS/MS method was investigated for the screening of 43 prescribed antihypertensive and related drugs in human urine. The urine samples were simply prepared by diluting and mixing with internal standard before directly introduced to the LC-MS/MS system, which is fast, straightforward, and cost-effective. Fractional factorial, Box-Behnken, and I-optimal design were applied to screen and optimize the mass spectrometric and chromatographic factors. The analysis was carried out on a triple quadrupole mass spectrometer system utilizing multiple reaction monitoring with positive and negative electrospray ionization method. Chromatographic separation was performed on a Thermo Scientific Accucore RP-MS column (50 × 3.0 mm ID., 2.6 ㎛) using two separate gradient elution programs established with the same mobile phases. Chromatographic separation was performed within 12 min. The optimal method was validated based on FDA guideline. The results indicated that the assay was specific, reproducible, and sensitive with the limit of detection from 0.1 to 50.0 ㎍/L. The method was linear for all analytes with coefficient of determination ranging from 0.9870 to 0.9981. The intra-assay precision was from 1.44 to 19.87% and the inter-assay precision was between 2.69 and 18.54% with the recovery rate ranges from 84.54 to 119.78% for all drugs measured. All analytes in urine samples were stable for 24 h at 25℃, and for 2 weeks at -60℃. The developed method improves on currently existing methods by including larger number of cardiovascular medications and better sensitivity of 12 analytes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1060-1066
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• 2021

Recently, researches for quantum computers have been carried out in various fields. Quantum computers performs calculations by utilizing various phenomena and characteristics of quantum mechanics such as quantum entanglement and quantum superposition, thus it is a very complex calculation process compared to classical computers used in the past. In order to simulate a quantum computer, many factors and parameters of a quantum computer need to be analyzed, for example, error verification, optimization, and reliability verification. Therefore, it is necessary to visualize circuits that can intuitively simulate the configuration of the quantum computer components. In this paper, we present a novel visualization method for designing complex quantum computer system, and attempt to create a 3D visualization toolkit to deploy large circuits, provide help a new way to design large-scale quantum computing systems that can be built into future computing systems.

• Journal of Food Hygiene and Safety
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• v.36 no.6
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• pp.455-473
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• 2021

In order to aid the researchers who analyze the biotoxins in marine molluscs, this paper introduces the official names and ecological characteristics of the domestically produced or distributed bivalve and gastropods that can be contaminated with marine biotoxins. Also, the paper intends to inform the location and scientific name of each organ of the representative group of species through anatomical maps. In the future, it is necessary to standardize and normalize the names of the species and the research institutions in food codes, scholarly papers and reports on the marine biotoxin analysis.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.4
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• pp.231-263
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• 2021

The purpose of this study is to analyze the information behavior of so-called "MZ Generation" users who are going to be the main information users of the continuously and radically changing scientific information environment due to the advent of various types of information media and rapid increment of digital information resources. Especially, the characteristics of MZ generation is investigated through questionnaire asking questions about their use of contents platforms, and online resources for everyday life information and scholarly information, and their way of producing, responding, and sharing information contents. The results show that they use YouTube most as the contents platform, prefer Naver as their everyday life information source, and use Google as the main scholarly information source. Their main purpose of using the content platform is to search for everyday life information rather than scholarly or professional information, and they are actively producing information, mostly to keep records of their everyday lives.

• Geomechanics and Engineering
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• v.29 no.1
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• pp.91-97
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• 2022

The cohesive non-swelling soil (CNS) cushion technology has been widely applied in the subgrade and slope improvement at expansive soil regions. However, the mechanism of the inhibition effect of the CNS layer on expansive soil (ES) has not been fully understood. We performed four outdoor model tests to further understand the inhibition effect, including different kinds of upper layer and thickness, under the unidirectional seepage condition. The swelling deformation, soil pressure, and electrical resistivity were constantly monitored during the saturation process. It is found that when a CNS layer covered the ES layer, the swelling deformation and electrical resistivity of the ES layer decreased significantly, especially the upper part. The inhibition effect of the CNS layer increases with the increase of CNS thickness. The distribution of vertical and lateral soil pressure also changed with the covering of a CNS layer. The electrical resistivity can be an effective index to describe the swelling deformation of ES layer and analyze the inhibition effect of the CNS layer. Overall, the CNS deadweight and the ion migration are the major factors that inhibit the swelling deformation of expansive soil.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.368-374
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• 2022

Children are by nature curious and enthusiastic about learning and love to explore and search for everything they see around them, but as a result of this exploration they may sometimes be exposed to dangerous situations ranging from falls to poisoning and suffocation. That is why when supporting a child's natural desire to explore the world and supporting his awareness of dangerous situations and good handling of them, helps him build a conscious scientific mind and enhance his curiosity in the natural world. It is not easy to imagine a difficult situation in which we or one of our family is in danger, unable to help ourselves or to help them in time, due to our complete ignorance of the rules of first aid. Hence the importance of learning first aid not only for the child but for the community and the world at large. "Hakeem" is an Arabic E-health educational application that aims to teach children from the age of six to eleven years first aid, in our belief that the seed of renaissance lies in the care and education of children, and the lack of Arabic content that aims to teach children first aid skills. The idea is to create a scenario in which the child is responsible for saving the person who will be in a dangerous situation using Augmented Reality (AR) technology, to increase engagement and interaction and provides a rich user experience, and according to the child's performance, he will get reward points. The game will have several levels: Beginner, Intermediate, and Hakeem, and based on the player's points he will get a title and move to the next level, and when he reaches the end, he will get the certificate.

• Advances in nano research
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• v.12 no.2
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• pp.185-195
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• 2022

Deep learning is another field of artificial intelligence (AI) utilized for computer aided diagnosis (CAD) and image processing in scientific research. Considering numerous mechanical repetitive tasks, reading image slices need time and improper with geographical limits, so the counting of image information is hard due to its strong subjectivity that raise the error ratio in misdiagnosis. Regarding the highest mortality rate of Lung cancer, there is a need for biopsy for determining its class for additional treatment. Deep learning has recently given strong tools in diagnose of lung cancer and making therapeutic regimen. However, identifying the pathological lung cancer's class by CT images in beginning phase because of the absence of powerful AI models and public training data set is difficult. Convolutional Neural Network (CNN) was proposed with its essential function in recognizing the pathological CT images. 472 patients subjected to staging FDG-PET/CT were selected in 2 months prior to surgery or biopsy. CNN was developed and showed the accuracy of 87%, 69%, and 69% in training, validation, and test sets, respectively, for T1-T2 and T3-T4 lung cancer classification. Subsequently, CNN (or deep learning) could improve the CT images' data set, indicating that the application of classifiers is adequate to accomplish better exactness in distinguishing pathological CT images that performs better than few deep learning models, such as ResNet-34, Alex Net, and Dense Net with or without Soft max weights.