• Title/Summary/Keyword: One-Class Classification

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A Feature Vector Selection Method for Cancer Classification

  • Yun, Zheng;Keong, Kwoh-Chee
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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    • pp.23-28
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    • 2005
  • The high-dimensionality and insufficiency of gene expression profiles and proteomic profiles makes feature selection become a critical step in efficiently building accurate models for cancer problems based on such data sets. In this paper, we use a method, called Discrete Function Learning algorithm, to find discriminatory feature vectors based on information theory. The target feature vectors contain all or most information (in terms of entropy) of the class attribute. Two data sets are selected to validate our approach, one leukemia subtype gene expression data set and one ovarian cancer proteomic data set. The experimental results show that the our method generalizes well when applied to these insufficient and high-dimensional data sets. Furthermore, the obtained classifiers are highly understandable and accurate.

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Estimating Impervious Surface Fraction of Tanchon Watershed Using Spectral Analysis (분광혼합분석 기법을 이용한 탄천유역 불투수율 평가)

  • Cho Hong-lae;Jeong Jong-chul
    • Korean Journal of Remote Sensing
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    • v.21 no.6
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    • pp.457-468
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    • 2005
  • Increasing of impervious surface resulting from urban development has negative impacts on urban environment. Therefore, it is absolutely necessary to estimate and quantify the temporal and spatial aspects of impervious area for study of urban environment. In many cases, conventional image classification methods have been used for analysis of impervious surface fraction. However, the conventional classification methods have shortcoming in estimating impervious surface. The DN value of the each pixel in imagery is mixed result of spectral character of various objects which exist in surface. But conventional image classification methods force each pixel to be allocated only one class. And also after land cover classification, it is requisite to additional work of calculating impervious percentage value in each class item. This study used the spectral mixture analysis to overcome this weakness of the conventional classification methods. Four endmembers, vegetation, soil, low albedo and high albedo were selected to compose pure land cover objects. Impervious surface fraction was estimated by adding low albedo and high albedo. The study area is the Tanchon watershed which has been rapidly changed by the intensive development of housing. Landsat imagery from 1988, 1994 to 2001 was used to estimate impervious surface fraction. The results of this study show that impervious surface fraction increased from $15.6\%$ in 1988, $20.1\%$ in 1994 to $24\%$ in 2001. Results indicate that impervious surface fraction can be estimated by spectral mixture analysis with promising accuracy.

MODIS Data-based Crop Classification using Selective Hierarchical Classification (선택적 계층 분류를 이용한 MODIS 자료 기반 작물 분류)

  • Kim, Yeseul;Lee, Kyung-Do;Na, Sang-Il;Hong, Suk-Young;Park, No-Wook;Yoo, Hee Young
    • Korean Journal of Remote Sensing
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    • v.32 no.3
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    • pp.235-244
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    • 2016
  • In large-area crop classification with MODIS data, a mixed pixel problem caused by the low resolution of MODIS data has been one of main issues. To mitigate this problem, this paper proposes a hierarchical classification algorithm that selectively classifies the specific crop class of interest by using their spectral characteristics. This selective classification algorithm can reduce mixed pixel effects between crops and improve classification performance. The methodological developments are illustrated via a case study in Jilin city, China with MODIS Normalized Difference Vegetation Index (NDVI) and Near InfRared (NIR) reflectance datasets. First, paddy fields were extracted from unsupervised classification of NIR reflectance. Non-paddy areas were then classified into corn and bean using time-series NDVI datasets. In the case study result, the proposed classification algorithm showed the best classification performance by selectively classifying crops having similar spectral characteristics, compared with traditional direct supervised classification of time-series NDVI and NIR datasets. Thus, it is expected that the proposed selective hierarchical classification algorithm would be effectively used for producing reliable crop maps.

Surgical Strategies in Patients with the Supplementary Sensorimotor Area Seizure

  • Oh, Young-Min;Koh, Eun-Jeong;Lee, Woo-Jong;Han, Jeong-Hoon;Choi, Ha-Young
    • Journal of Korean Neurosurgical Society
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    • v.40 no.5
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    • pp.323-329
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    • 2006
  • Objective : This study was designed to analyze surgical strategies for patients with intractable supplementary sensorimotor area[SSMA] seizures. Methods : Seventeen patients who had surgical treatment were reviewed retrospectively. Preoperatively, phase I [non-invasive] and phase II [invasive] evaluation methods for epilepsy surgery were done. Seizure outcome was assessed with Engel's classification. The mean follow-up period was 27.2 months [from 12 months to 54 months]. Results : An MRI identified structural abnormality in eight patients and 3D-surface rendering revealed abnormal gyration in three. PET, SPECT, and surface EEG could not delineate the epileptogenic zone. Video-EEG monitoring with a subdural grid or depth electrodes verified the epileptogenic zone in all patients. Surgical procedures consisted of a resection of the SSMA and simultaneous callosotomy in two patients, a resection of the SSMA extending to the adjacent area in seven, a resection of a different area without a SSMA resection in seven, and a callosotomy in one. Seizure outcomes were class I in 11 [65%]. class II in five [29%], class III in one [6%]. Conclusion : In patients with intractable SSMA seizure, surgery was an excellent treatment modality. Precise delineation of the epileptogenic zone based on multimodal diagnostic methods can provide good surgical outcomes without neurological complications.

Open heart surgery of Ebstein's anomaly -Report of 12 cases- (Ebstein 기형에 대한 개심술 -12례 보고-)

  • Ahn, Hyuk;Park, Yee-Tae;Rho, Joon-Ryang;Suh, Kyung-Phill;Lee, Yung-Kyoon
    • Journal of Chest Surgery
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    • v.16 no.2
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    • pp.157-163
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    • 1983
  • Ebstein's anomaly is a rare congenital cardiac malformation oand the ideal surgical correction seems controversial at present, and some problems are left unsolved in the surgical correction of this anomaly. Between June 1978 and June 1982, 12 patients with Ebsteins' anomaly underwent corrective open heart surgery at Seoul National University Hospital. Except for one patient, who had no ASD, all had a huge right atrium, secundum type ASD, and definite atrialized right ventricle. Typically, displaced tricuspid valve leaflets were found in all cases, but the degree of displacement and deformity were variable. In the point of NYHA functional classification, five were in class II, six were in class III, and one was in class IV. Ten patients were operated on by tricuspid valve replacement and pication. Two patients were operated on only by plication and annuloplasty techniques, and in all cases, ASD was closed. Postoperatively, four patients suffered from complete A-V block, and two of them died immediately. The remaining two patients took pacemaker generator implantation with good results. The other eight patients were in good condition. Tricuspid valve replacement using tissue valve and plication of the atrialized rght ventricle seems to be a good method of surgical correction for Ebstein's anomaly.

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Online Game Identity Theft Detection Model based on Hacker's Behavior Analysis (온라인게임 계정도용 탐지모델에 관한 연구)

  • Choi, Hwa-Jae;Woo, Ji-Young;Kim, Huy-Kang
    • Journal of Korea Game Society
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    • v.11 no.6
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    • pp.81-93
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    • 2011
  • Identity theft happens frequently in popular MMORPG(Massively Multi-player Online Role Playing Games) where profits can be gained easily. In spite of the importance of security about identity theft in MMORPG, few methods to prevent and detect identity theft in online games have been proposed. In this study, we investigate real identity theft cases of an online game and define the representative patterns of identity theft as the speedy type, cautious type, and bold type. We then propose the automatic identity theft detection model based on the multi-class classification. We verify the system with one of the leading online games in Korea. The multi-class detection model outperforms the existing binary-class one(hacked or not).

Online Signature Verification Method using General Handwriting Data and 1-class SVM (일반 필기 데이터와 단일 클래스 SVM을 이용한 온라인 서명 검증 기법)

  • Choi, Hun;Heo, Gyeongyong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.11
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    • pp.1435-1441
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    • 2018
  • Online signature verification is one of the simple and efficient methods of identity verification and has less resistance than other biometric technologies. To handle signature verification as a classification problem, it is necessary to gather forgery signatures, which is not easy in most practical applications. It is not easy to obtain a large number of genuine signatures either. In this paper, one class SVM is used to tackle the forgery signature problem and someone else's signatures are used as general handwriting data to solve the genuine signature problem. Someone else's signature does not share shape-based features with the signature to be verified, but it contains the general characteristics of a signature and useful in verification. Verification rate can be improved by using the general handwriting data, which can be confirmed through the experimental results.

A Basic Study on the Effect of the Wind Pressure according to Form on the Flat Roof mounted PV System (평지붕 PV거치 시스템의 형태에 따른 풍압영향에 관한 기초연구)

  • Yun, Doo-Young;Lee, Eung-Jik
    • Journal of the Korean Solar Energy Society
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    • v.33 no.5
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    • pp.105-112
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    • 2013
  • The new renewable energy became popular as a clean and sustainable alternative energy under the circumstances that the entire world is facing severe abnormal climate due to the use of fossil fuel, and among which, solar energy can be obtained anywhere and is not difficult to apply it into the existing buildings, which makes it possible to be widely distributed. However, as PV module is installed into a single plate system, it shows structural weaknesses which are vulnerable to wind load and give loss to design elements in external appearance. Accordingly, this study planned one-step parallel system to complement the problems occurring from a single plate system and used STAR-CCM+ V.8 made by CD-Adapco, a computational fluid dynamics(CFD) simulation tool to measure wind load stability and support based on the design standards for a single plate system and one-step parallel system. Building height was limited to less than 10m and wind speed was given when increasing from 35m/s to 50m/s by 5m/s on PV system installed into the flat roof. In this case, our analysis suggested that step-one parallel system was in class 7-9 according to Beaufort's wind power classification, which did not have an impact on the fixed PV system, and the single plate system is considered to cause risks in designing wind speed in central districts because it is more than wind power class 12.

A Exploratory Study for the Suitability about the Creative Class in Korea (한국에서의 창조계급 적합성에 대한 탐색적 연구)

  • Choi, Il-Yong;Hwang, Seong-Won
    • Journal of Korea Technology Innovation Society
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    • v.17 no.3
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    • pp.467-489
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    • 2014
  • The purpose of this study is to explore the suitable creative class in korea as the core capital of creative urban growth under creative economy era. We are test to find it for two types of creative class. One is Richard Florida(2002)'s creative class, the other is Mcgranahan & Wojan(2007)'s recasting creative class. Data on 2010 for this paper are generated from Statistics Korea. As a result, we find that the economic geography of creative class is highly concentrated. Furthermore, the geography of creative class is strongly associated with innovation index and high-technology industry location. And Mcgranahan & Wojan(2007)'s creative class is more strong relationship between all dependent variables than Florida's. We also find that it has better power of explanation than Florida's with all of them in regression analysis. According to the results, this study suggests some solutions. First, this study can be provided to government and local policy makers as basis data and practical policy guide to attract creative class. Second, this paper presents standard about a diversity of definitions for creative class in Korea. Third, this research also facilitates follow-up studies about regional economic growth and creative climates.

The amendment tendency analysis of the Korean Infectious Disease Prevention Act and a recommendation for the next amendment (전염병관리 관련법령의 변화 추이분석 및 향후 개정방향에 관한 연구)

  • Whang, Chang-Yong;Ohrr, Hee-Choul;Lee, Duk-Hyoung;Park, Ki-Dong;Lee, Jong-Koo
    • Journal of Preventive Medicine and Public Health
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    • v.31 no.3 s.62
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    • pp.540-563
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    • 1998
  • This Study has been carried out to make a recommendation for the next amendment of the Infectious Disease Prevention Act with a specific focus on the kind of notifyable disease. Korean, Japanese, German, U.S, English and French acts on infectious diseases prevention were reviewed, compared with and analized in regards of numbers and kinds of notifyable infectious diseases and their tendency of amendments. An criteria was designed to assess the level of validity of diseases to be designated in the act. Four items, the fatality (greater than 10% or not), the possibility to make a big epidemic, the availability of efficient vaccination and the usefulness of isolation, are used in the assessment. This index is applied to the diseases in Korean and other countries' Infectious Disease Prevention Acts. Results are as follows: 1. The Korean Infectious Disease Preventon Act has a unique way of classifying the notifyable infectious disease, that is, the first, the second and the third class. But the author cannot find the basis of classification. No other countries reviewed have the similar classification. 2. The ten diseases, cholera, plague, yellow fever, diphtheria, typhoid fever, poliomyelitis, rabies, tetanus, malaria, and meningococcal meningitis are designated as the notifyable diseases not only in Korea but also in Japan, Germany, United States, England and france. 3. Thirty seven diseases including small pox, Lassa fever, anthrax, influenza, German measles, Legionellosis, infection with E. coli O157:H7, Q-fever, brucellosis, Lyme disease are designated as legal disease at least one of the above mentioned countries. 4. The Korea has been coped with the change of the infectious disease occurrence for last fifty years in amendment of the Infectious Disease Prevention Act. 5. Japan has a special infectious surveillance system composed of 3,880 clinics throughout the whole country. 6. Germany has classified infectious diseases in five categories which are based on seriousness of disease. Any confirmed death, cases and suspected cases in class I should be reported within 24 hours. But only confirmed death and cases in class II, but not suspected cases, are reportable in Germarny. 7. Plague, bacillary dysentery, pertussis, mumps, Japanese encephaltis and Korean hemorrhagic fevers are diseases with high credits validity index among Korean legal disease. 8. German measles, anthrax, E. coli O157 : H7 infection, Lassa fever, Q-fever, brucellosis are high in validity index among those which are not designated in Korea but designated in other countries. In conclusion, the Korean Infectious Disease Prevention Act has well been coped with the changes of infectious disease occurrence for last fifty years, but the classification basis and the validity of diseases to be designated as legal diseases is worth reevaluating.

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