• Title/Summary/Keyword: pattern selection

Search Result 778, Processing Time 0.026 seconds

Six Color Separation Using Additional Colorants and Quantitative Granularity Metric for Photography Quality (고화질 색 재현을 위한 추가적인 잉크와 정량적인 낟알 무의 측정자를 이용한 6색 분리)

  • Son Chang-Hwan;Cho Yang-Ho;Kwon Oh-Seol;Ha Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.42 no.4 s.304
    • /
    • pp.49-59
    • /
    • 2005
  • This paper proposed a six-color separation using additional colorants and quantitative granularity metric to reduce color difference and graininess. In the conventional method, light magenta and light cyan are used in the bright region instead of magenta and cyan. However, the hue value of liBht magenta and light cyan is different from the one of magenta and cyan in CIELAB space, so that this makes the colorimetric reproduction more or less inaccurate. To improve this inaccuracy, the proposed method uses yellow and light magenta colorants as the additional colorants. In the bright region, magenta is replaced with light magenta and yellow, while cyan is replaced with light cyan and light magenta. This selection reduces hue difference because it creates the color of similar hue to magenta and cyan. In addition, smooth image can be simultaneously obtained by the less dot visibility of additional colorants. In the middle region, magenta is replaced with light magenta and magenta, while cyan is replaced with light cyan and cyan. The use of two colorants having a different concentration makes the dot Pattern coarse. To reflect this Phenomenon, quantitative granularity metric is used. In the dark region, only magenta and cyan colorant is used as usual. Through experiments, it is shown that the proposed method improves both colorimetric and smooth tone reproductions.

CLINICAL STUDY OF AMELOBLASTOMA ON THE JAW (악골에 발생한 법랑아세포종의 임상적 연구)

  • Kim, Hyun-Syeob;Ryu, Jae-Young;Yu, Min-Gi;Seo, Il-Young;Shet, Uttom Kumar;Kook, Min-Suk;Park, Hong-Ju;Ryu, Sun-Youl;Choi, Hong-Ran;Oh, Hee-Kyun
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
    • /
    • v.33 no.5
    • /
    • pp.535-542
    • /
    • 2007
  • Ameloblastoma, a benign tumor of odontogenic type, represents 10% of all tumors of the jaw. It is localized in the mandible(80%) and in the maxilla(20%). In every case, the selection of the surgical treatment must consider some fundamental elements, including the age and general state of health the clinicopathological variant, and the localization and extent of the tumor. This study was invested the clinicopathological findings of 23 patients with ameloblastoma which had been diagnosed by biopsy during the period of 1987 to 2005 at Chonnam National University Hospital. And it contained the statistical analysis according to the treatment methods and the clinicopathological findings such as sex, age, location, chief complaints, duration, radiographic findings, histologic findings, treatment methods. The results obtained are were follows. The age of patient ranged from 10 to 91 years(means, 35.9 years) at biopsy. Thirteen(57%) of the 23 subjects were males, and 10(43%) were females. Twenty(87%) of the 23 ameloblastomas were located in the mandible. Swelling was the most common symptom and was experienced by 20(87%) patients. Radiographically, 11(48%) of the 23 tumors were unilocular with a well-demarcated border and 12(52%) were multilocular. The most common histologic pattern was plexiform and acanthomatous rather then follicular. Conservative treatment was performed 7 cases(30%), radical treatment 11 cases(48%), and combined treatment 5 cases(22%). Follow-up period ranged from 2.1 years to 22 years(mean 5.1 years). Based on the above results, surgical excision after marsupialization was found to be useful as a preliminary treatment of the large cystic ameloblastoma in children and adolescents. On the contrary, the lesion with a soap bubble appearance, the one with ineffective marsupialization was subjected to extensive excision of the tumor with a wide margin of normal bone.

Improvement of Boar Semen Quality by Sperm Selection Using Magnetic Nano-particles (마그네틱 나노비드를 이용한 돼지 정자 품질의 향상)

  • Chung, KI-Hwa;Son, Jung-Ho
    • Journal of Life Science
    • /
    • v.26 no.8
    • /
    • pp.943-947
    • /
    • 2016
  • The objective of this study was to see if fairly simple magnetic nano-particle treatment enhances boar semen qualities. Boar semen samples were prepared from the swine AI center and samples were divided by 4 different motility groups (1, >90%; 2. 80~90%; 3. 70~80%; 4. <70%) using computer assisted sperm analysis (CASA) evaluation. Boar semen was extended using BTS extender and same number of magnetic nano-particles as total number of spermatozoa in each sample was treated for 20 min and collected for 5 min at room temperature. Sperm qualities such as motility and viability were evaluated by the CASA before and after treatment. Sperm abnormality and degree of agglutination were also evaluated under the microscopic examination before and after treatment. There were significant changes (p<0.05) on sperm motility from all 4 different groups in the average of 7.11% after treatment. The enhancement of sperm motility changes was more clear in the groups of lower sperm motile groups (<70% and 70~80%; 19.12±1.08% and 5.67±0.71%, p<0.05). The sperm motility character in terms of curvilinear velocity (VCL), straight line velocity (VSL), average path velocity (VAP) and linearity (LIN, %) showed also similar pattern but motility enhancement wear more clear in below 70% motile group. Average sperm viability was increased to 4% by magnetic nano-particles (p<0.05). The percentage of sperm abnormality was also reduced significantly (p<0.05) to the range of 3.7~4.5% before after treatment. The degree of sperm agglutination was also reduced in lower motility groups by the magnetic nano-particle purification.

Molecular Epidemiology of Metallo-β-lactamase Producing Pseudomonas aeruginosa Clinical Isolates (임상에서 분리된 Metallo-β-lactamase 생성 Pseudomonas aeruginosa의 분자역학)

  • Choi, Myung-Won
    • Journal of Life Science
    • /
    • v.22 no.9
    • /
    • pp.1268-1276
    • /
    • 2012
  • The emergence and dissemination of carbapenem-resistant bacteria have resulted in limitations of antibiotic treatment and potential outbreaks of metallo-${\beta}$-lactamase (MBL) producing Pseudomonas aeruginosa resistant to carbapenems. In this study, we conducted molecular characterization of the MBL genes of the ${\beta}$-lactam drug-resistant P. aeruginosa and prepared basic data for treatment and prevention of proliferation of antimicrobial-resistant bacterial infections. Forty-two P. aeruginosa isolates of 254 were resistant to imipenem or meropenem. Among the 42 isolates, 28 isolates were positive for the Hodge test, and 23 isolates were positive for the EDTA-disk synergy test (EDST). MBLs were detected in 59.5% (25/42) of P. aeruginosa isolates. Eight isolates harbored $bla_{IMP-6}$, whereas 17 isolates harbored $bla_{VIM-2}$. The $bla_{IMP-6}$ gene was in a class 1 integron containing five gene cassettes: $bla_{IMP-6}$, qac, aacA4, $bla_{OXA-1}$, and aadA1. Some strains that produce IMP-6 and VIM-2 showed epidemiological relationships. The $bla_{IMP-6}$ gene in carbapenem-resistant P. aeruginosa showed an identical pattern to a gene cassette that was reported at a hospital in Daegu, Korea. Therefore, MBL-producing P. aeruginosa is already endemic in the community. We are concerned that the existence of carbapenem-resistant bacteria containing the blaMBL gene may increase pressure on antibiotic selection when treating infections. We believe that we should select appropriate antibiotics based on the antibiotic susceptibility test and continue the research to prohibit the emergence and spread of antibiotics resistant bacteria.

Estimate Saliency map based on Multi Feature Assistance of Learning Algorithm (다중 특징을 지원하는 학습 기반의 saliency map에 관한 연구)

  • Han, Hyun-Ho;Lee, Gang-Seong;Park, Young-Soo;Lee, Sang-Hun
    • Journal of the Korea Convergence Society
    • /
    • v.8 no.6
    • /
    • pp.29-36
    • /
    • 2017
  • In this paper, we propose a method for generating improved saliency map by learning multiple features to improve the accuracy and reliability of saliency map which has similar result to human visual perception type. In order to overcome the inaccurate result of reverse selection or partial loss in color based salient area estimation in existing salience map generation, the proposed method generates multi feature data based on learning. The features to be considered in the image are analyzed through the process of distinguishing the color pattern and the region having the specificity in the original image, and the learning data is composed by the combination of the similar protrusion area definition and the specificity area using the LAB color space based color analysis. After combining the training data with the extrinsic information obtained from low level features such as frequency, color, and focus information, we reconstructed the final saliency map to minimize the inaccurate saliency area. For the experiment, we compared the ground truth image with the experimental results and obtained the precision-recall value.

A Development of 3-D Numeric Model for the Confined Flow and Discharge under Sea Ground (해저 지중 피압유체의 흐름과 양수량 산출에 관한 3차원 수치모형의 개발)

  • Kim, Sang-Jun
    • Journal of Korean Society of Coastal and Ocean Engineers
    • /
    • v.22 no.6
    • /
    • pp.387-396
    • /
    • 2010
  • A 3-D numeric model for the confined transient flow under sea ground have been developed. This is FDM model using Gauss-Seidel SOR (successive over-relaxation). This model shows the similar head distribution pattern to Theis analytic solution and MODFLOW simulation. The input flowrate to the aquifer and discharge of well have been compared. And it have been found that mass balance is influenced by the weight factor ${\alpha}$, i.e. fullyimplicit method (${\alpha}$=1) shows 5% error, but when ${\alpha}$ becomes to 0.5(Crank and Nicolson method) the mass balance becomes worse and the model result diverges. And the convergency of the model is not much different when $\lambda$ (over-relaxation factor)=0.8~1.5, but when $\lambda$>1.5, the model result diverges. The test-run shows that the well discharge becomes smaller when another well is near. This model can cover the isotropy$(Kx{\neq}Ky{\neq}Kz)$ and inhomogeneity, and can be used for the selection of well site, discharge calculation, and head prediction in case of the artificial recharge etc.

Survey on Pesticide Use by Ginseng Growers at Gangwon Farmland in Korea (강원도 인삼재배지 농약 사용 실태)

  • Kang, Hye-Soon;Park, Dong-Sik;Hwang, Yun-Kab;Kim, Song-Mun
    • The Korean Journal of Pesticide Science
    • /
    • v.11 no.3
    • /
    • pp.210-215
    • /
    • 2007
  • This study aims to investigate if the properly use of pesticide in Ginseng farmland at Gangwon-do, Korea. Questionnaire included 36 questions such as control method for plant diseases, pests and weeds and pattern of pesticide use was answered by 271 Ginseng farmers lived in 4 cities and 8 counties at Gangwon-do. Ginseng farmers have noxious plant diseases, insects and weeds such as leaf spot, anthracnose, snail, stem-mining fly, horseweed and hairy crabgrass. To control of these, 35% of farmers relied on various type of pesticides and 31.5% of farmers used pesticides mingling with natural enemy, microorganism and organic materials. Farmers selected the pesticide based on the their own experiences or by recommendation of market dealers and neighbors, resulting in the use of inappropriate pesticides in the Ginseng farmland(78.8 % ). They followed standard dosage of the pesticide from Handbook of Pesticide Application(96.3%). They, however, used the same pesticides from 2 to 5 years(44.1 %). This consecutive use of pesticide could be induced resistance. This survey resulted that study for pesticide resistance and systematic educational program for proper use and selection of pesticide to Gingseng farmers should be conducted in farmland at Gangwon-do, Korea.

The Study of Infinite NHPP Software Reliability Model from the Intercept Parameter using Linear Hazard Rate Distribution (선형위험률분포의 절편모수에 근거한 무한고장 NHPP 소프트웨어 신뢰모형에 관한 연구)

  • Kim, Hee-Cheul;Shin, Hyun-Cheul
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.9 no.3
    • /
    • pp.278-284
    • /
    • 2016
  • Software reliability in the software development process is an important issue. In infinite failure NHPP software reliability models, the fault occurrence rates may have constant, monotonic increasing or monotonic decreasing pattern. In this paper, infinite failures NHPP models that the situation was reflected for the fault occurs in the repair time, were presented about comparing property. Commonly, the software model of the infinite failures using the linear hazard rate distribution software reliability based on intercept parameter was used in business economics and actuarial modeling, was presented for comparison problem. The result is that a relatively large intercept parameter was appeared effectively form. The parameters estimation using maximum likelihood estimation was conducted and model selection was performed using the mean square error and the coefficient of determination. The linear hazard rate distribution model is also efficient in terms of reliability because it (the coefficient of determination is 90% or more) in the field of the conventional model can be used as an alternative model could be confirmed. From this paper, the software developers have to consider intercept parameter of life distribution by prior knowledge of the software to identify failure modes which can be able to help.

A Framework for Quality Improvement in Weapon System using Post-Logistics Support Data (후속군수지원 데이터 분석을 활용한 무기체계 품질향상 방법론)

  • Kim, Geun-Hyung;Kim, Young-Kuk;Park, Seung Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.17 no.5
    • /
    • pp.680-687
    • /
    • 2016
  • Although advanced weapon system weapons with high-performance and various functions have been developed, weapon defects can be fatal in the weapons industry. Therefore, the army requires quality improvement to reduce the number of defects which occur during both the development and operation of the weapon system. Recently, many manufacturers, including weapons manufacturers, have conducted analyses using defect related big-data in order to improve the quality. However, there have been few data analyses, because it is difficult to obtain the data required for the analysis of the development phase. Therefore, this study summarizes the pattern of the weapon system, military organization, and defect types using the actual data of the Post-Logistics Support (PLS) phase. The PLS data, which is referred to as the data collected after force integration, includes information on requests for maintenance. Through this information, this study selects key variables and analyzes the selected variables. The analysis results show the critical factors to be considered during the development phase. Finally, this study proposes a framework for advanced PLS systems using the PLS data. The proposed framework enables the development time of weapon systems to be further shortened and their quality to be improved.

Aerobic Antimicrobial Susceptibility Patterns of Bacteria Isolated from Dogs (개에서 분리된 호기성 병원성 세균의 항생제 감수성)

  • Hee Yoo;Park, Se-Won;Hwang, Cheol-Yong;Youn, Hwa-Young;Han, Hong-Ryul
    • Journal of Veterinary Clinics
    • /
    • v.19 no.3
    • /
    • pp.303-311
    • /
    • 2002
  • Isolation and identification of causative microorganisms and susceptibility testing are important in selecting appropriate antimicrobial agent. The purpose of this study was to determine the antimicrobial susceptibility patterns and identification of bacteria for the selection of a therapeutic antibiotic agent for treatment. Specimens were cultured aerobically from dog patients brought to the veterinary medical teaching hospital of Seoul National University between July 1999 and September 2000. A total of 157 isolates were from skin(63), urine(45), ear canal(31) and conjunctiva(18). The result is that the most common organisms isolated from dog patients were S. intermedius was the most common isolates from the skin, ear canal, and conjunctiva. E. coli was the most common isolated from urine. Most of gram-positive isolates were resistant to ampicillin(80.6%), erythromycin(68.8%), penicillin(86.2%), tetracycline(89.2%). Otherwise most of gam-negative isolates were resistant to ampicillin(73.4%), trimethoprim-sulfa(53.3%). E. coli was resistant to ciprofloxacin(61.5%), piperacillin (69.2%). Antimicrobial susceptibility pattern by the sampling site was not remarkably different except 5. aureus isolated from urine.