• 제목/요약/키워드: Test mining

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Breeding for Powdery Mildew Resistant Varieties in Cucurbita moschata (흰가루병 저항성 동양종 호박 품종 육성)

  • Cho Myeong-Cheoul;Om Young-Hyun;Kim Dae-Hyun;Heo Yun-Chan;Kim Jeong-Su;Park Hyo-Guen
    • Research in Plant Disease
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    • v.11 no.2
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    • pp.106-114
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    • 2005
  • To breed powdery mildew resistant varieties, 104 accessions of Cucurbita spp. germplasm were evaluated. Powdery mildew resistance and horticultural characteristics of the accessions were investigated in the field conditions. C. martinezii was selected for high resistance to powdery mildew in the field. The growth of powdery mildew pathogen and response of leaf surface tissue to the pathogen were observed after artificial inoculation to resistant C martinezii and susceptible C. moschata cv. 'Wonye No.402'. Mycelium growth was very clearly different between resistant C. martinezii and susceptible C moschata cv. 'Wonye No. 402' at 5 days after inoculation at the adult stage. Interspecific hybridization was attempted to transfer powdery mildew resistance gene(s) from C. martinezii to C. moschata. A single dominant gene action was postulated as deter mining powdery mildew resistance at the seedling stage. But for the effective selection of powdery mildew resistant individuals, it was established that adult plant resistance should be confirmed in the field conditions after the seedling test. Through the seedling and field tests, C. moschata lines resistant to powdery mildew and superior to horticultural characteristics, were selected after 2 backcrossing and 3 selfing generations. The fruit characteristics of newly developed lines were similar to those of the recurrent parent, 'Jaechenjarae'.

A Study on Teachers’Recognition and Teaching methods in Housing of Home Economics Text Book of Middle School (중학교 가정 교과서의 주생활 단원에 대한 교사의 인식과 교육에 관한 연구)

  • 이은순;조재순
    • Journal of Korean Home Economics Education Association
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    • v.5 no.1
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    • pp.17-30
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    • 1993
  • The purpose of this study is to investigate teachers’recognition and teaching methods in Housing of Home Economics Text Book of Middle School and to provide the basic data for the improvement of its curriculum. Home Economics teachers of the 433 schools responded in nationwide to the mailed questionaire. The selected data were manipulated by percent and verified in the way of t-test. The findings of this study are as follows: 1. Most Home Economics teachers have ever taken teacher training but there are few who have never taken any teacher training in Housing. And even those who have ever taken the training in Housing are not satisfied with the training curriculum contents. Therefore, the result of this study shows that Housing should be included in the teacher training curriculum contents, and that the teacher training curriculum contents, and that the teacher training curriculum contents should be helpful for the actual teaching and learning. 2. It is necessary to allot more houres for Housing, in that most teachers actually allot more time for Housing than presented in teachers’guide, and to develop more teaching aids for the effective instruction of Housing. In terms of the suitability of Housing to the students’learning development levels, the degree of suitability is in the order of the significance of housing, housing sanitation, the types of housing, the space for housing, the ground plan of housing, the arrangement of furniture. The contents about the interior decoration and gardening of the existing text book have turned out not to be appropriate.. In terms of the relation between the place of residence and the curriculum, Housing is suitable for the city, but not for the farming, mining, and sea village, Teachers suggest that the content of the curriculum about Housing should be varied according to the location of the school. 3. The number of the teaching aids for Housing is in the order of picture, charts and pamphlet but not sufficient.

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Tolerance Computation for Process Parameter Considering Loss Cost : In Case of the Larger is better Characteristics (손실 비용을 고려한 공정 파라미터 허용차 산출 : 망대 특성치의 경우)

  • Kim, Yong-Jun;Kim, Geun-Sik;Park, Hyung-Geun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.2
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    • pp.129-136
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    • 2017
  • Among the information technology and automation that have rapidly developed in the manufacturing industries recently, tens of thousands of quality variables are estimated and categorized in database every day. The former existing statistical methods, or variable selection and interpretation by experts, place limits on proper judgment. Accordingly, various data mining methods, including decision tree analysis, have been developed in recent years. Cart and C5.0 are representative algorithms for decision tree analysis, but these algorithms have limits in defining the tolerance of continuous explanatory variables. Also, target variables are restricted by the information that indicates only the quality of the products like the rate of defective products. Therefore it is essential to develop an algorithm that improves upon Cart and C5.0 and allows access to new quality information such as loss cost. In this study, a new algorithm was developed not only to find the major variables which minimize the target variable, loss cost, but also to overcome the limits of Cart and C5.0. The new algorithm is one that defines tolerance of variables systematically by adopting 3 categories of the continuous explanatory variables. The characteristics of larger-the-better was presumed in the environment of programming R to compare the performance among the new algorithm and existing ones, and 10 simulations were performed with 1,000 data sets for each variable. The performance of the new algorithm was verified through a mean test of loss cost. As a result of the verification show, the new algorithm found that the tolerance of continuous explanatory variables lowered loss cost more than existing ones in the larger is better characteristics. In a conclusion, the new algorithm could be used to find the tolerance of continuous explanatory variables to minimize the loss in the process taking into account the loss cost of the products.

Effect of Mixing Process on the Wear Properties of UHMWPE/Kaolin Composite (입자충전 초고분자량 폴리에틸렌의 마모특성 : 입자충전 방법의 효과)

  • Ki, Nam;Lee, Geon-Woong;Yoon, Ho-Gyu;Park, Hong-Jo;Kwak, Soon-Jong;Kim, Jun-Kyung;Park, Min
    • Polymer(Korea)
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    • v.26 no.6
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    • pp.803-811
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    • 2002
  • In this study the wear behavior of ultra high molecular polyethylene (UHMWPE) filled with kaolin particles by different methods was investigated. UHMWPE/kaolin composites were prepared by two different methods: polymerization-filling and powder mixing. Particularly in a powder mixing method. Particle dispersion and wear property according to powder mining method were examined. It was found from wear test that filling of inorganic filler into UHMWPE by polymerization filling was more effective way than by powder mixing method in improving Wear resistance of UHMWPE. It was also confirmed that abrasive wear was dominant wear mechanism and particle dispersion in the composite as well as interface property was an important factor in controlling the wear behavior of the resulting composites.

Extracting week key issues and analyzing differences from realtime search keywords of portal sites (포털사이트 실시간 검색키워드의 주간 핵심 이슈 선정 및 차이 분석)

  • Chong, Min-Yeong
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.237-243
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    • 2016
  • Since realtime search keywords of portal sites are arranged in descending order by instant increasing rates of search numbers, they easily show issues increasing in interests for a short time. But they have the limits extracted different results by portal sites and not shown issues by a period. Thus, to find key issues from the whole realtime search keywords for certain period, and to show results of summarizing them and analyzing differences, is significant in providing the basis of understanding issues more practically and in maintaining consistency of them. This paper analyzes differences of week key issues extracted from week analysis of realtime search keywords provided by two typical portal sites. The results of experiments show that the portal group means of realtime search keywords by the independent t-test and the survival functions of realtime search keywords by the survival analysis are statistically significant differences.

A data mining approach to compressive strength of CFRP-confined concrete cylinders

  • Mousavi, S.M.;Alavi, A.H.;Gandomi, A.H.;Esmaeili, M. Arab;Gandomi, M.
    • Structural Engineering and Mechanics
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    • v.36 no.6
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    • pp.759-783
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    • 2010
  • In this paper, compressive strength of carbon fiber reinforced polymer (CFRP) confined concrete cylinders is formulated using a hybrid method coupling genetic programming (GP) and simulated annealing (SA), called GP/SA, and a robust variant of GP, namely multi expression programming (MEP). Straightforward GP/SA and MEP-based prediction equations are derived for the compressive strength of CFRP-wrapped concrete cylinders. The models are constructed using two sets of predictor variables. The first set comprises diameter of concrete cylinder, unconfined concrete strength, tensile strength of CFRP laminate, and total thickness of CFRP layer. The most widely used parameters of unconfined concrete strength and ultimate confinement pressure are included in the second set. The models are developed based on the experimental results obtained from the literature. To verify the applicability of the proposed models, they are employed to estimate the compressive strength of parts of test results that were not included in the modeling process. A sensitivity analysis is carried out to determine the contributions of the parameters affecting the compressive strength. For more verification, a parametric study is carried out and the trends of the results are confirmed via some previous studies. The GP/SA and MEP models are able to predict the ultimate compressive strength with an acceptable level of accuracy. The proposed models perform superior than several CFRP confinement models found in the literature. The derived models are particularly valuable for pre-design purposes.

Analysis on Correlation between Prescriptions and Test Results of Diabetes Patients using Graph Models and Node Centrality (그래프 모델과 중심성 분석을 이용한 당뇨환자의 처방 및 검사결과의 상관관계 분석)

  • Yoo, Kang Min;Park, Sungchan;Rhee, Su-jin;Yu, Kyung-Sang;Lee, Sang-goo
    • KIISE Transactions on Computing Practices
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    • v.21 no.7
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    • pp.482-487
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    • 2015
  • This paper presents the results and the process of extracting correlations between events of prescriptions and examinations using graph-modeling and node centrality measures on a medical dataset of 11,938 patients with diabetes mellitus. As the data is stored in relational form, RDB2Graph framework was used to construct effective graph models from the data. Personalized PageRank was applied to analyze correlation between prescriptions and examinations of the patients. Two graph models were constructed: one that models medical events by each patient and another that considers the time gap between medical events. The results of the correlation analysis confirm current medical knowledge. The paper demonstrates some of the note-worthy findings to show the effectiveness of the method used in the current analysis.

A Basic Study on Real Time 3D Location-Tracking in Ground and Underground Using MEMS Sensor (MEMS 센서를 이용한 지상 및 지하에서의 실시간 3차원 위치추적 기술에 관한 기초적 연구)

  • Seol, Munhyung;Jang, Yonggu;Jeon, Heungsoo;Kang, Injoon
    • Journal of the Korean GEO-environmental Society
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    • v.14 no.4
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    • pp.47-52
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    • 2013
  • In Korea, the number of mining operations are getting smaller. But buried accidents are on the increase every year. For this reason, it is important to safety management in construction process, especially the worker's safety. In the field of construction needs utilization of integration system according to purpose of utilization, particularly in underground construction sites utilizing is emphasized even more. The current element technologies of location tracking, sensors and wireless communication possible to utilize but it is still difficult to utilization of integration system in construction field because a study is not complete on commercialization and availability. In this study, for real time 3-dimensional management of ubiquitous construction site in ground and underground, measure data using MEMS sensor, EDM and DGPS in 2 test site. Also results were analysed by MATLAB. As a result, error is verification less than 3 meter that possible to distinguish with the naked eye and construct direction of study based on result of former.

Mechanical properties and microstructures of stabilised dredged expansive soil from coal mine

  • Chompoorat, Thanakorn;Likitlersuang, Suched;Sitthiawiruth, Suwijuck;Komolvilas, Veerayut;Jamsawang, Pitthaya;Jongpradist, Pornkasem
    • Geomechanics and Engineering
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    • v.25 no.2
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    • pp.143-157
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    • 2021
  • Expansive soil is the most predominant geologic hazard which shows a large amount of shrinkage and swelling with changes in their moisture content. This study investigates the macro-mechanical and micro-structural behaviours of dredged natural expansive clay from coal mining treated with ordinary Portland cement or hydrated lime addition. The stabilised expansive soil aims for possible reuse as pavement materials. Mechanical testing determined geotechnical engineering properties, including free swelling potential, California bearing ratio, unconfined compressive strength, resilient modulus, and shear wave velocity. The microstructures of treated soils are observed by scanning electron microscopy, x-ray diffraction, and energy dispersive spectroscopy to understand the behaviour of the expansive clay blended with cement and lime. Test results confirmed that cement and lime are effective agents for improving the swelling behaviour and other engineering properties of natural expansive clay. In general, chemical treatments reduce the swelling and increase the strength and modulus of expansive clay, subjected to chemical content and curing time. Scanning electron microscopy analysis can observe the increase in formation of particle clusters with curing period, and x-ray diffraction patterns display hydration and pozzolanic products from chemical particles. The correlations of mechanical properties and microstructures for chemical stabilised expansive clay are recommended.

The Effect of Occupational Noise Exposure on Serum Cortisol Concentration of Night-shift Industrial Workers: A Field Study

  • Zare, Sajad;Baneshi, Mohammad R.;Hemmatjo, Rasoul;Ahmadi, Saeid;Omidvar, Mohsen;Dehaghi, Behzad F.
    • Safety and Health at Work
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    • v.10 no.1
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    • pp.109-113
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    • 2019
  • Background: In both developed and developing countries, noise is regarded as the most common occupational hazard in various industries. The present study aimed to examine the effect of sound pressure level (SPL) on serum cortisol concentration in three different times during the night shift. Methods: This case-control study was conducted among 75 workers of an industrial and mining firm in 2017. The participants were assigned to one of the three groups (one control and two case groups), with an equal number of workers (25 participants) in each group. Following the ISO 9612 standard, dosimetry was adopted to evaluate equivalent SPL using a TES-1345 dosimeter. The influence of SPL on serum cortisol concentration was measured during the night shift. The serum cortisol concentration was measured using a radioimmunoassay (RIA) test in the laboratory. Repeated measure analysis of variance and linear mixed models were used with ${\alpha}=0.05$. Results: The results indicated a downward trend in the serum cortisol concentration of the three groups during the night shift. Both SPL and exposure time significantly affected cortisol concentration (p < 0.0001, p < 0.0001). Conversely, age and body mass index had no significant influence on cortisol concentration (p = 0.360, p = 0.62). Conclusion: Based on the obtained results, increasing SPL will lead to enhancement of serum cortisol concentration. Given that cortisol concentration varies while workers are exposed to different SPLs, this hormone can be used as a biomarker to study the effect of noise-induced stress.