• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.143-151
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• 2021

The enormous prevalence of transferring official confidential digital documents via the Internet shows the urgent need to deliver confidential messages to the recipient without letting any unauthorized person to know contents of the secret messages or detect there existence . Several Steganography techniques such as the least significant Bit (LSB), Secure Cover Selection (SCS), Discrete Cosine Transform (DCT) and Palette Based (PB) were applied to prevent any intruder from analyzing and getting the secret transferred message. The utilized steganography methods should defiance the challenges of Steganalysis techniques in term of analysis and detection. This paper presents a novel and robust framework for color image steganography that combines Linear Congruential Generator (LCG), simulated annealing (SA), Cesar cryptography and LSB substitution method in one system in order to reduce the objection of Steganalysis and deliver data securely to their destination. SA with the support of LCG finds out the optimal minimum sniffing path inside a cover color image (RGB) then the confidential message will be encrypt and embedded within the RGB image path as a host medium by using Cesar and LSB procedures. Embedding and extraction processes of secret message require a common knowledge between sender and receiver; that knowledge are represented by SA initialization parameters, LCG seed, Cesar key agreement and secret message length. Steganalysis intruder will not understand or detect the secret message inside the host image without the correct knowledge about the manipulation process. The constructed system satisfies the main requirements of image steganography in term of robustness against confidential message extraction, high quality visual appearance, little mean square error (MSE) and high peak signal noise ratio (PSNR).

• The Korea Journal of Herbology
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• v.28 no.3
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• pp.75-84
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• 2013

Objectives : The origin of Breeae Herba (So-gye) and Cirsii Herba (Dae-gye) is differently prescribed in Korean and Chinese modern pharmacopoeia. Since the similar morphological characteristics and chaotic plant names, moreover, the aerial part of Carduus crispus have been used as the Cirsii Herba. To develop a reliable method for correct identification of these herbal medicines and to evaluate the genetic relationship of these closely related plant species, we analyzed sequences of DNA barcode regions. Methods : Thirty-one samples of 6 medicinal plants (B. segeta, B. setosa, C. japonicum var. maackii, C. setidens, C. chanroenicum, and C. crispus) were collected from different habitate and nucleotide sequences of DNA barcode regions (rDNA-ITS, matK, and rbcL) were analyzed after amplification using appropriate primers reported in previous studies. The nucleotides of species-specific authentic marker and phylogenetic relations were estimated based on the entire sequences of DNA barcodes by the analysis of ClastalW and UPGMA, respectively. Results : In comparative analysis of DNA barcode sequences, we obtained specific nucleotides to discriminate the medicinal plant of Breeae/Cirsii Herba in species level and evaluated the phylogenetic relationship of these species. Futhermore, we identified distinct marker nucleotides enough to authenticate respective species. These sequence differences at corresponding positions were avaliable genetic markers to determine the botanical origins of Breeae Herbal as well as Cirsii Herba. Conclusions : These marker nucleotides would be useful to identify the official herbal medicines by providing of definitive information that can identify each plant species and distinguish from unauthentic adulterants and substitutes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.365-380
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• 2022

The target detection algorithm based on supervised learning is the current mainstream algorithm for target detection. A high-quality dataset is the prerequisite for the target detection algorithm to obtain good detection performance. The larger the number and quality of the dataset, the stronger the generalization ability of the model, that is, the dataset determines the upper limit of the model learning. The convolutional neural network optimizes the network parameters in a strong supervision method. The error is calculated by comparing the predicted frame with the manually labeled real frame, and then the error is passed into the network for continuous optimization. Strongly supervised learning mainly relies on a large number of images as models for continuous learning, so the number and quality of images directly affect the results of learning. This paper proposes a dataset STAR-24K (meaning a dataset for Space TArget Recognition with more than 24,000 images) for detecting common targets in space. Since there is currently no publicly available dataset for space target detection, we extracted some pictures from a series of channels such as pictures and videos released by the official websites of NASA (National Aeronautics and Space Administration) and ESA (The European Space Agency) and expanded them to 24,451 pictures. We evaluate popular object detection algorithms to build a benchmark. Our STAR-24K dataset is publicly available at https://github.com/Zzz-zcy/STAR-24K.

• Journal of Fashion Business
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• v.26 no.3
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• pp.19-32
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• 2022

This study aimed to analyze the relationship between makeup and Pantone color by reflecting the visual elements of modern people who react sensitively to trends, and to research and propose art makeup using various techniques based on the results. The scope of this study was the last 5 years for researching trend colors. The range of colors was from 2016 to 2020, and the research method was designed after examining makeup trends using Pantone colors from 2016 to 2020; the characteristics of color and trend makeup were analyzed to design art makeup using various techniques. With respect to research data, literature review was conducted on the makeup design using Pantone colors with trend makeups. By referring to data in Pantone's official website, the characteristics and meanings of each color were analyzed. Based on research data, illustrations were made and makeup was designed and suggested. According to the study results, one-color makeup created a stable and uniform mood as a whole and could highlight the characteristics of each color. On the other hand, the makeup design that mixed Pantone colors harmonized the complementary colors and created an original and beautiful makeup design. The researcher identified the relationship and characteristics of trend colors and makeup and suggested various techniques, and expects that by linking the effect of trend color with makeup, designs and visual effects that go beyond the limits of the makeup market will be suggested and expanded.

• Journal of the Korean School Mathematics Society
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• v.26 no.1
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• pp.1-19
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• 2023

This study analyzed the international trends of research concerning artificial intelligence in education by examining 352 papers recently published in the International Journal of Artificial Intelligence in Education(IJAIED) with the topic modeling method. The IJAIED is the official, SCOPUS-indexed journal of the International AIED Society. The analysis revealed that international AIED research trends could be categorized into eight topics with topics such as analyzing student behavior model in learning systems and designing feedback to student solutions being increased over time, whereas research focusing on data handling methods was decreased over time. Based on the findings implications and suggestions for the research and development of the applications of AIED were provided.

• Analytical Science and Technology
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• v.22 no.2
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• pp.119-127
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• 2009

This study was carried out to investigate the distribution characteristics of persistent organic pollutants in incineration residues at industrial waste incinerators and municipal solid waste incinerators, which were analyzed by the official analytical method for the endocrine disrupting chemicals and the waste. Seven of 12 persistent organic pollutants were quantitatively analyzed by GC-MSD (SIM-mode). Hexachlorobenzene was detected in 21 samples among 44 incineration residues. The level of hexachlorobenzene was 0.132-8.138 ng/g in incineration residues, 0.195-5.765 ng/g in fly ash at industrial waste incinerators, 0.270-1.828 ng/g in bottom ash and 0.154-50.643 ng/g in fly ash at municipal solid waste incinerators, respectively.

• Analytical Science and Technology
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• v.20 no.1
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• pp.78-83
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• 2007

To perform proficiency test for determining anti-impotence drug-like compounds in food, interlaboratory test has been done. Targets were 6 such as sildenafil, tadalafil, vardenafil, homosildenafil, hydroxy-homosildenafil and pseudo-vardenafilI. Total 13 institutes were participated and all is in charging of food analysis. To do double blind test, the reference materials were made as 13 different ginseng drink samples and each sample had random 3 targets. By the official method for anti-impotence drug-like compounds in food code, sample was just diluted in water, extracted in organic solvents, determined by HPLC/UV and then confirmed by LC/MS. The analytical duration was 60 days after receiving sample. Ten out of 13 institutes were satisfied by evaluation of Z-score and RSZ according to the regulation for managing analytical quality assurance.

• Korean Journal of Hazardous Materials
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• v.2 no.1
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• pp.6-11
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• 2014

There have been frequent chemical leaks over the past 10 years. Particularly, inorganic acids like sulfuric acid, nitric acid, and hydrogen chloride take up 37 % of the total chemical accidents which took place for the past 10 years. When an acid chemical leak happens, fume is generated, diffusing into the air, which might cause serious damage to health of local residents and the environment. However, most of the acid-based chemicals, detecting and analysis methods have not been settled considering the frequency of accidents. In this study, we investigated detection and analysis methods to quickly analyze accident sites and evaluate the impacts on environments. Reviewing local and international test analysis methods of acids suggested that nitric acid, sulfuric acid, hydrogen chloride and hydrogen fluoride can be analyzed with IC. It was also found that UV is better for the analysis of hydrogen fluoride and GC/MS for acrylic acid. The analytical methods suggested in the official test methods basically have limitations of consuming much time at stages of preparation and analysis. Considering prompt responses to chemical accidents, further studies should be done to compare the applicability of rapid monitoring methods such as FT-IR, IMR-MS and SIFT-MS.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.815-825
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• 2023

Purpose: This paper aims to explore approaches for obtaining KOLAS certification for masks developed as protective equipment for use during evacuation processes in the event of a radiation disaster involving residents within a radiation emergency planning zone. Method: Various reports, papers, and data from the KOLAS accreditation bodies' websites were examined for this study. Result: Although domestic radiation disaster preparedness measures have been established to enhance resident protection, the distribution of protective equipment is limited to thyroid protection drugs. Supplementary support items like masks are necessary to prepare for radiation disasters. Currently, there is no KOLAS-accredited certification body for radiation protection masks. Conclusion: For masks that have established performance certification criteria, a dual process is required for KOLAS certification. This involves obtaining an official test report as an industrial respirator mask, receiving certification, and then obtaining a general test report based on internal standards.

• Journal of Cadastre & Land InformatiX
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• v.53 no.2
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• pp.39-52
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• 2023

Cadastral maps are important official documents that affect property rights and have experienced issues due to over 100 years of usage. The accuracy of these old cadastral maps has decreased due to damage, wear, and the accumulation of errors during the rewriting process. These errors have persisted into the digitalization process, creating difficulties in map management. A nationwide project to revise cadastral and forest maps is underway, but there are technical and legal challenges in making corrections. This study addresses the technical aspects of map maintenance and proposes a method to reduce errors and improve maintenance rates by preceding with boundary adjustments. The results show that by preceding with boundary adjustments, the average distance discrepancy decreases from 22.56cm to 8.12cm, and the maintenance rate increases by more than 10%.