• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1197-1205
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• 2018

In this paper, we perform Single Image Super Resolution(SISR) for acquired images of EOTS or IRST from naval combat system. In order to conduct super resolution, we use Generative Adversarial Networks(GANs), which consists of a generative model to create a super-resolution image from the given low-resolution image and a discriminative model to determine whether the generated super-resolution image is qualified as a high-resolution image by adjusting various learning parameters. The learning parameters consist of a crop size of input image, the depth of sub-pixel layer, and the types of training images. Regarding evaluation method, we apply not only general image quality metrics, but feature descriptor methods. As a result, a larger crop size, a deeper sub-pixel layer, and high-resolution training images yield good performance.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.129-130
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• 2008

교감 신경계의 활성정도를 판별할 수 있는 지표로 피부저항(Galvanic skin resistance: GSR)이 있다. 교감신경이 흥분하면 땀이 분비되어 손가락의 피부저항이 감소하게 된다[1]. 전자기장에 민감한 사람(electromagnetic hypersensitivity: EHS)에게 전자기장을 노출시키면 전자기장을 잘 느끼지 못하는 일반인에 비해 교감신경이 많이 흥분하여 땀을 더 많이 분비할 것이라 생각하여 손가락 피부저항의 변화를 측정하여 전자기장에 민감한 사람과 일반인의 교감신경 활성정도의 차이를 알아보고자 하였다. 그러나 전자기장에 민감한지 민감하지 않은지를 판별하기 위한 인지 및 증상에 관한 설문에 의해서도 피부저항의 변화가 생길 수 있다. 따라서 본 연구에서 전자파에 민감한 사람과 일반인간의 언어자극에 의한 피부저항의 변화를 알아보고 전자기장 노출 실험에서 인지 설문이 전자기장 노출여부에 의한 피부저항의 변화에 영향을 주는지 주지 않는지를 알아보고자 한다. 피부저항 측정 결과 EHS와 일반인군 모두에게서 언어자극(인지 및 자각증상에 관한 설문)에 의해 피부저항이 감소되는 경향을 보였다.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.4
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• pp.169-176
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• 2015

Recently smartphone market is rapidly growing and application market has also grown significantly. Mobile applications have been provided in various forms, such as education, game, SNS, weather and news. And It is distributed through a variety of distribution channels. Malicious applications deployed with malicious objectives are growing as well as applications that can be useful in everyday life well. In this study, Events from a malicious application that is provided by the normal application deployment and Android MalGenome Project through the open market were extracted and analyzed. And using the results, We create a model to determine whether the application is malicious. Finally, model was evaluated using a variety of statistical method.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.409-409
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• 2023

하천 수위는 합리적인 수자원의 이용 및 관리를 위해 반드시 필요한 수문 자료이다. 우리나라에서는 수위 측정을 위해 유역 내에 관측소를 설치하여 장비 또는 인력을 통해 수위를 측정하고 있다. 하지만, 많은 관측소를 운영하고 관리하기에는 예산과 인력이 소모되는 한계가 있다. 위성 영상을 통한 시계열 분석은 전지구적 모니터링과 관측 분야에 중요한 역할을 수행할 것으로 기대되고 있으며, 특히 위성 영상자료를 활용한 수자원 분야 연구가 활발히 진행되고 있다. 위성 영상을 활용하여 수면적을 감지하고 수위와 유량을 판별하는 많은 연구가 진행되었지만, 하천 하상의 경사와 단면 형태에 따라 수면적이 변하여 정량적인 수위 추정에는 한계가 존재한다. 본 연구에서는 Sentinel-1의 SAR 영상과 InSAR 기법을 통해 낙동강 유역의 홍수 전후의 하천 수위 변화를 분석하였다. Sentinel-1 IW 모드의 Single Look Complex(SLC) 영상 12장과 ESA 영상 처리 툴인 SNAP을 활용하여 VV(Vertical-Vertical) 데이터의 간섭을 통해 센티미터(cm) 단위지표 변화에 따른 수위 변위를 분석하였다. 위성 영상을 통해 추출한 수위 변위와 계측 수위 및 단면 자료의 정합성을 비교한 결과, 제방과 수체 경계면 식생과 하상 세굴로 인한 오차로 정량적이 수위의 정합성에는 한계가 존재하였지만, 수위의 정량적인 변동성을 확인할 수 있었으며, 수위 변화의 반응속도를 판별할 수 있었다.

• Journal of the Korean Society of Groundwater Environment
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• v.4 no.4
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• pp.212-222
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• 1997

Geochemistry of metasedimentary groundwaters and spar waters has been studied in comparison with that of granitic groundwaters in Korea. Metasedimentary groundwaters show $Ca^{2+]$-${HCO_3}^-$ type at depth and low sodium concentrations compared with granitic groundwaters, which is due to the lack of plagioclase in their aquifer mineralogy and, therefore, the predominant reaction of calcite dissolution. According to factor analysis, metasedimentary groundwaters at 100~300 m depth are represented by 1) the dissolution of calcite and Mg-carbonates, 2) transformation of kaolinite to illite, and 3) the presence of sodium as not the product of plagioclase dissolution but a artificial pollutant. Discriminant function between the granitic and metasedimentary groundwaters shows a good discriminating ability with 81.8%, and groundwaters of volcanic aquifer, which has abundant plagioclase, are included in the granitic group by this function. Spa water samples show the result of active water-rock interaction due to high temperature.

• Korean journal of applied entomology
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• v.48 no.4
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• pp.547-551
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• 2009

Two closely related species, the soybean podworm, Matsumuraeses phaseoli, and the podborer, M. falcana, gives differential economic damages on crops. It is difficult to discriminate these potential sympatric species by morphological characters. The goal of this study was to develop a discriminating molecular marker based on polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). A partial genomic fragment (500 bp) of mitochondrial cytochrome oxidase I (mtCOI) was sequenced in both species, in which restriction site by Rsa I was selected as a dichotomous marker. PCR-RFLP in the mtCOI region clearly discriminated both species.

• Korean Journal of Food Science and Technology
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• v.32 no.3
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• pp.538-543
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• 2000

This study was conducted to develop an enzyme-linked immunosorbent assay(ELISA) for the determination of cooked goat meat. Muscle proteins were extracted from goat meat by heating at $98^{\circ}C$ for 15 min. Major thermostable(TS) protein, whose size and pI are 36 and 38 kDa and 4.5 respectively, were purified by DEAE-Sephadex A-50 and Sephadex G-75 column chromatography. The TS protein was immunized into rabbits in order to produce goat specific antibodies. Competitive indirect ELISA(ciELISA) was established by using the anti-TS antibody. The antibody showed high reactivity toward the TS antigen and the boiled goat meat extract but it did not show any reactivities toward extracts of boiled chicken, pork, lamb, and beef. Thus, this ciELISA developed in this study could be applicable to identify goat species from cooked meat.

• The Korean Journal of Applied Statistics
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• v.34 no.4
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• pp.599-609
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• 2021

Data with a large difference in the number of objects between clusters are called unbalanced data. In discriminant analysis of unbalanced data, it is more important to classify objects in minority categories than to classify objects in majority categories well. However, objects in minority categories are often misclassified into majority categories. In this study, we propose a method that combined hierarchical DBSCAN (HDBSCAN) and SMOTE to solve this problem. Using HDBSCAN, it removes noise in minority categories and majority categories. Then it applies SMOTE to create new data. Area under the roc curve (AUC) and F1 scores were used to compare performance with existing methods. As a result, in most cases, the method combining HDBSCAN and synthetic minority oversampling technique (SMOTE) showed a high performance index, and it was found to be an excellent method for classifying unbalanced data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.6
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• pp.1097-1104
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• 2021

Online game-bots are already known for a lot of persons by various ways. It leads to problems such as declining game player's interest, in-game financial crisis, etc. Detecting and restricting of game-bot is now essential. Because both publishers and players get disadvantages from their long term abnormal working. But it is not easy to restrict, because of false restriction risks. Game publishers need to distinguish game-bot from server-side game logs. At last, it should can make reasons for game-bot restriction. In this paper, we classified game-bot users by using daily separated game logs for testing data. For daily-driven detection, we separated total dataset into one day logs. Preliminary detects game-bots with one day logs, and determines total results by using these data. Daily driven detection advantages on detection which contains combined game playing style. Which shows like normal user and game-bot. These methodology shows better F1-score, which one of indicator which demonstrate classification accuracy. It increases from 0.898 to 0.945 by using Random Forest classifier.

• KIISE Transactions on Computing Practices
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• v.22 no.11
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• pp.591-600
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• 2016

Computing technologies are increasingly applied to most casual human environment networks, as computing technologies are further developed. In addition, the rapidly increasing interest in IoT has led to the wide acceptance of speech recognition as a means of HCI. In this study, we present a novel method for recognizing the Korean vowel 'ㅜ', as a part of a phoneme based Korean speech recognition system. The proposed method involves analyses of bulk indicators calculated in the time domain instead of analysis in the frequency domain, with consequent reduction in the computational cost. Four elementary algorithms for detecting typical waveform patterns of 'ㅜ' using bulk indicators are presented and combined to make final decisions. The experimental results show that the proposed method can achieve 90.1% recognition accuracy, and recognition speed of 0.68 msec per syllable.