• Title/Summary/Keyword: Hybrid methods

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Spam-Mail Filtering System Using Weighted Bayesian Classifier (가중치가 부여된 베이지안 분류자를 이용한 스팸 메일 필터링 시스템)

  • 김현준;정재은;조근식
    • Journal of KIISE:Software and Applications
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    • v.31 no.8
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    • pp.1092-1100
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    • 2004
  • An E-mails have regarded as one of the most popular methods for exchanging information because of easy usage and low cost. Meanwhile, exponentially growing unwanted mails in user's mailbox have been raised as main problem. Recognizing this issue, Korean government established a law in order to prevent e-mail abuse. In this paper we suggest hybrid spam mail filtering system using weighted Bayesian classifier which is extended from naive Bayesian classifier by adding the concept of preprocessing and intelligent agents. This system can classify spam mails automatically by using training data without manual definition of message rules. Particularly, we improved filtering efficiency by imposing weight on some character by feature extraction from spam mails. Finally, we show efficiency comparison among four cases - naive Bayesian, weighting on e-mail header, weighting on HTML tags, weighting on hyperlinks and combining all of four cases. As compared with naive Bayesian classifier, the proposed system obtained 5.7% decreased precision, while the recall and F-measure of this system increased by 33.3% and 31.2%, respectively.

Water Vapor and Thermal Transmission Properties of Hybrid Yarns Fabrics for High Emotional Garments -Water Vapor and Heat Transport according to Experimental-Method- (고감성 의류용 복합사 직물의 수분증기 및 열이동 특성 -실험방법에 따른 수분증기 및 열이동-)

  • Kim, SeungJin;Kim, Hyunah
    • Journal of the Korean Society of Clothing and Textiles
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    • v.41 no.1
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    • pp.84-97
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    • 2017
  • Water vapor and thermal transmission properties of high emotional garments are important to evaluate wear comfort; in addition, the measuring methods of these properties are also critical for breathable and warm suit fabrics. In this study, the water vapor and thermal properties of composite yarn fabrics made of CoolMax, Tencel, and Bamboo fibers with filaments were measured and compared according to the measuring method. Water Vapor Transmittance (WVT) of the fabric woven by the sheath/core composite yarn in the warp direction was the highest due to the small staple fiber volume in the sheath/core yarn structure and high air voids in the sheath/core yarn fabrics. This property was also the highest in fabrics woven by bamboo staple yarns in the weft direction, and was the lowest on hi-multi filament fabrics. However, water vapor resistance ($R_{ef}$) of these fabrics by KSK ISO 11092 showed the opposite results to the water vapor transmittance method ($CaCl_2$ method); in addition, its correlation coefficient was low. The correlation coefficient between $R_{ef}$ and the drying rate was 0.719; therefore, the measurement mechanism of $R_{ef}$ is analogous to the drying property measurement. The thermal conductivity of the fabrics woven with compact staple yarn showed a high value; however, the hi-multi filament fabric showed low thermal conductivity. Therefore, fiber characteristics affect thermal properties more than yarn structure. The correlation between thermal property and moisture transport was also low. This study showed that: water vapor transmittance was active at the loose yarn structure, dry heat transport was vigorous at the compact yarn structure, and heat transport was affected more by fiber characteristics than yarn structure. In conclusion, sheath/core composite yarns were relevant to the high absorptive cool suit along with siro-fil and CoolMax/Bamboo staple yarns that were relevant to the heat diffusive cool suit.

Treatment Efficiency of Pollutants in Constructed Wetlands under Different Hydroponic Wastewater Injection Methods and Characteristic of Filter Media (시설하우스 폐양액 주입방법 및 여재 특성에 따른 인공습지에서 수질오염물질의 처리효율)

  • Seo, Dong-Cheol;Park, Jong-Hwan;Cheon, Yeong-Seok;Park, Seong-Kyu;Kim, Ah-Reum;Lee, Won-Gyu;Lee, Sang-Won;Lee, Seong-Tae;Cho, Ju-Sik;Heo, Jong-Soo
    • Korean Journal of Environmental Agriculture
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    • v.29 no.2
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    • pp.146-151
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    • 2010
  • In order to improve T-N and T-P removal in HF (horizontal flow)-HF hybrid constructed wetlands by natural purification method for treating the hydroponic wastewater in greenhouses, the efficiency of water treatment as affected by the injection method of hydroponic wastewater, the addition of special filter media, the particle size of filter media, and the injection ratio of hydroponic wastewater in $1^{st}$ HF and $2^{nd}$ HF beds were investigated in small-scale HF-HF hydroponic wastewater treatment apparatus. Removal rate of T-P in the water in HF-HF hydroponic wastewater treatment apparatus with calcite as affected by addition method of special filter media was higher than that in HF-HF hydroponic wastewater treatment apparatus with other filter media. Removal rate of BOD, COD, SS, T-N and T-P in the water in mixed filter media with calcite were 86, 84, 87, 50 and 97%, respectively. Removals of pollutants except for T-P in the water were slightly different. Therefore, it should be considered that the removal rate of T-P was good for calcite in HF-HF hydroponic wastewater treatment apparatus. To improve T-N and T-P removal, the optimum particle size of filter media was 1.2 mm, and the optimum injection ratio ($1^{st}$ HF bed : $2^{nd}$ HF bed) of hydroponic wastewater was 60:40.

Population-based Cervical Cancer Screening Using High-risk HPV DNA Test and Liquid-based Cytology in Northern Thailand

  • Siriaunkgul, Sumalee;Settakorn, Jongkolnee;Sukpan, Kornkanok;Srisomboon, Jatupol;Suprasert, Prapaporn;Kasatpibal, Nongyao;Khunamornpong, Surapan
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.16
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    • pp.6837-6842
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    • 2014
  • Background: Northern Thailand is a region with a high cervical cancer incidence. Combined high-risk HPV (hrHPV) DNA testing and cytology (co-testing) has increasingly gained acceptance for cervical cancer screening. However, to our knowledge, data from a population-based screening using co-testing have not been available in this region. This study therefore aimed to evaluate the performance of cytology and hrHPV test in women in northern Thailand. Materials and Methods: Cervical samples were collected for hybrid capture 2 (HC2) testing and liquid-based cytology from women aged 30 to 60 years who were residents in 3 prefectures of Chiang Mai in northern Thailand between May and September 2011. Women with positive cytology were referred to colposcopy, while women with positive for HC2 only were followed for 2 years. Results: Of 2,752 women included in this study, 3.0% were positive in both tests, 4.1% for HC2 only, and 1.3% had positive cytology only. At baseline screening, positive HC2 was observed in 70.6% among cytology-positive women compared with 4.3% among cytology-negative women. The prevalence of positive HC2 or cytology peaked in the age group 35-39 years and was lowest in the age group 55-60 years. High-grade squamous intraepithelial lesion or worse lesions (HSIL+) were histologically detected in 23.5% of women with positive baseline cytology and in 9.8% of women with positive baseline HC2 only on follow-up. All women with histologic HSIL+ had positive baseline HC2. Conclusions: The hrHPV test is superior to cytology in the early detection of high-grade cervical epithelial lesions. In this study, the prevalence of histologic HSIL+ on follow-up of women with positive hrHPV test was rather high, and these women should be kept under careful surveillance. In northern Thailand, hrHPV testing has a potential to be used as a primary screening test for cervical cancer with cytology applied as a triage test.

Wavelet-based Pitch Detector for 2.4 kbps Harmonic-CELP Coder (2.4 kbps 하모닉-CELP 코더를 위한 웨이블렛 피치 검출기)

  • 방상운;이인성;권오주
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.8
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    • pp.717-726
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    • 2003
  • This paper presents the methods that design the Wavelet-based pitch detector for 2,4 kbps Harmonic-CELP Coder, and that achieve the effective waveform interpolation by decision window shape of the transition region, Waveform interpolation coder operates by encoding one pitch-period-sized segment, a prototype segment, of speech for each frame, generate the smooth waveform interpolation between the prototype segments for voiced frame, But, harmonic synthesis of the prototype waveforms between previous frame and current frame occur not only waveform errors but also discontinuity at frame boundary on that case of pitch halving or doubling, In addtion, in transition region since waveform interpolation coder synthesizes the excitation waveform by using overlap-add with triangularity window, therefore, Harmonic-CELP fail to model the instantaneous increasing speech and synthesis waveform linearly increases, First of all, in order to detect the precise pitch period, we use the hybrid 1st pitch detector, and increse the precision by using 2nd ACF-pitch detector, Next, in order to modify excitation window, we detect the onset, offset of frame by GCI, As the result, pitch doubling is removed and pitch error rate is decreased 5.4% in comparison with ACF, and is decreased 2,66% in comparison with wavelet detector, MOS test improve 0.13 at transition region.

Implementation of Clinical Microbiology Images CAI System Using Web (Web을 이용한 임상미생물 화상 CAI 시스템의 구현)

  • Koo Bong-Oh;Shin Yong-Won
    • The Journal of the Korea Contents Association
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    • v.4 no.4
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    • pp.45-51
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    • 2004
  • The number of development in educational software is currently decreasing despite rapid improvement in computer technology. This is partly due to the fact that the current software relies on the conventional hypermedia method or on the hierarchical method, both of which have inherent limitations. To compensate their limitations while keeping their merits, a hybrid method called the structured hypermedia link method has recently been proposed in the literature. It has been found that the structured hypermedia link method is far superior than the conventional methods in terms of educational effectiveness because it can help a learner to search various data by navigating between the study topics on his own while maintaining his level of cognitively overloaded stress to the minimum. The clinical microbiology laboratories were chosen as the candidate site for this study because its educational system has not been standardized and has been relying heavily on the personal experience. In this study, the hypermedia link method was applied to the development of an education system for the image analysis in clinical microbiology laboratories. For this purpose, a web-based computer aided instruction(CAI) program was designed to systematically organize the Gram stain method based on the standardized image data. In the future, CAI program must be intended to educate for beginner and developed to accept for variable knowledge. And it will be useful program for technicians in case of applying various examinations based Gram stain method of this study.

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Performance Evaluation and Forecasting Model for Retail Institutions (유통업체의 부실예측모형 개선에 관한 연구)

  • Kim, Jung-Uk
    • Journal of Distribution Science
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    • v.12 no.11
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    • pp.77-83
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    • 2014
  • Purpose - The National Agricultural Cooperative Federation of Korea and National Fisheries Cooperative Federation of Korea have prosecuted both financial and retail businesses. As cooperatives are public institutions and receive government support, their sound management is required by the Financial Supervisory Service in Korea. This is mainly managed by CAEL, which is changed by CAMEL. However, NFFC's business section, managing the finance and retail businesses, is unified and evaluated; the CAEL model has an insufficient classification to evaluate the retail industry. First, there is discrimination power as regards CAEL. Although the retail business sector union can receive a higher rating on a CAEL model, defaults have often been reported. Therefore, a default prediction model is needed to support a CAEL model. As we have the default prediction model using a subdivision of indexes and statistical methods, it can be useful to have a prevention function through the estimation of the retail sector's default probability. Second, separating the difference between the finance and retail business sectors is necessary. Their businesses have different characteristics. Based on various management indexes that have been systematically managed by the National Fisheries Cooperative Federation of Korea, our model predicts retail default, and is better than the CAEL model in its failure prediction because it has various discriminative financial ratios reflecting the retail industry situation. Research design, data, and methodology - The model to predict retail default was presented using logistic analysis. To develop the predictive model, we use the retail financial statements of the NFCF. We consider 93 unions each year from 2006 to 2012 to select confident management indexes. We also adapted the statistical power analysis that is a t-test, logit analysis, AR (accuracy ratio), and AUROC (Area Under Receiver Operating Characteristic) analysis. Finally, through the multivariate logistic model, we show that it is excellent in its discrimination power and higher in its hit ratio for default prediction. We also evaluate its usefulness. Results - The statistical power analysis using the AR (AUROC) method on the short term model shows that the logistic model has excellent discrimination power, with 84.6%. Further, it is higher in its hit ratio for failure (prediction) of total model, at 94%, indicating that it is temporally stable and useful for evaluating the management status of retail institutions. Conclusions - This model is useful for evaluating the management status of retail union institutions. First, subdividing CAEL evaluation is required. The existing CAEL evaluation is underdeveloped, and discrimination power falls. Second, efforts to develop a varied and rational management index are continuously required. An index reflecting retail industry characteristics needs to be developed. However, extending this study will need the following. First, it will require a complementary default model reflecting size differences. Second, in the case of small and medium retail, it will need non-financial information. Therefore, it will be a hybrid default model reflecting financial and non-financial information.

A Study on Various Structural Characteristics of 100W Linear Generator for Vehicle Suspension (차량 현가장치적용 100W급 선형발전기의 다양한 구조 특성)

  • Kim, Ji-Hye;Kim, Jin-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.4
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    • pp.683-688
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    • 2018
  • Recently, the demand for electric energy has been increasing due to the spread of hybrid electric vehicles. In this study, to meet this demand, the ANSYS MAXWELL electromagnetic simulation system was used to compare the power generation characteristics of three types of suspension system that can generate electricity using energy harvesting technology. Next, the optimal design was determined for each model by using the commercial PIDO (Process Integration and Design Optimization) tool, PIANO (Process Integration, Automation and Optimization). We selected three design variables and constructed an approximate model based on the experimental design method through electromagnetic analysis for 18 experimental points derived from Orthogonal Arrays among the experimental design methods. Then, we determined the optimal design by applying the Evolutionary Algorithm. Finally, the optimal design results were verified by electromagnetic simulation of the optimum design result model using the same analysis conditions as those of the initial model. After comparing the power generation characteristics for the optimal structure for each linear generator model, the maximum power generation amounts in the 8pole-8slot, 12pole-12slot, and 16pole-16slot structures were 366.5W, 466.7W and 579.7W, respectively, and it was found that as the number of slots and poles increases, the power generation increases.

A Study on A Model Sample for Guidance System for Copyright of Domestic Journals and Open Access Policy (국내 학술지 저작권 및 오픈액세스 정책 안내시스템 모형 연구)

  • Kim, Gyuhwan
    • Journal of Korean Library and Information Science Society
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    • v.47 no.4
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    • pp.265-288
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    • 2016
  • The study aimed to suggest a model sample for guidance system for copyright of domestic journals and open access policy. Toward this end, analyses were conducted to examine copyright of domestic journals and open access environment. As a result of analyses, it turned out that 33.8% of domestic journals had 'regulations on ownership of rights to papers published in journals,' and that the subject to ownership of rights to papers published in domestic journals accounted for 28.8%, which was the highest rate. Of domestic journals, 34% charged a subscription fee, and they were toll access journals, and 56% were free access journals. As for system examples of guide system for copyright of foreign journals and open access policy, analyses were conducted to examine and investigate SHERPA/RoMEO in the U.K. and SCPJ in Japan and generate considerations at a time of domestic application. What needs to be taken into account is that overseas examples are focused on collecting and introducing self-archiving policy by authors for academic journals, so there are limitations in offering information including open access publication policy for domestic journals. Based on the analytical result, the study designated the purpose, direction and four steps that need to be considered at a time of development of guide system models for copyright and open access policy for domestic journals before suggestion of the basic direction and operational methods by stage.

Separations and Feature Extractions for Image Signals Using Independent Component Analysis Based on Neural Networks of Efficient Learning Rule (효율적인 학습규칙의 신경망 기반 독립성분분석을 이용한 영상신호의 분리 및 특징추출)

  • Cho, Yong-Hyun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.2
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    • pp.200-208
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    • 2003
  • This paper proposes a separation and feature extraction of image signals using the independent component analysis(ICA) based on neural networks of efficient learning rule. The proposed learning rule is a hybrid fixed-point(FP) algorithm based on secant method and momentum. Secant method is applied to improve the performance by simplifying the 1st-order derivative computation for optimizing the objective function, which is to minimize the mutual informations of the independent components. The momentum is applied for high-speed convergence by restraining the oscillation in the process of converging to the optimal solution. The proposed algorithm has been applied to the composite images generated by random mixing matrix from the 10 images of $512\times512$-pixel. The simulation results show that the proposed algorithm has better performances of the separation speed and rate than those using the FP algorithm based on Newton and secant method. The proposed algorithm has been also applied to extract the features using a 3 set of 10,000 image patches from the 10 fingerprints of $256\times256$-pixel and the front and the rear paper money of $480\times225$-pixel, respectively, The simulation results show that the proposed algorithm has also better extraction speed than those using the another methods. Especially, the 160 basis vectors(features) of $16\times16$-pixel show the local features which have the characteristics of spatial frequency and oriented edges in the images.