• Title/Summary/Keyword: M-category

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Stress field interference of hydraulic fractures in layered formation

  • Zhu, Haiyan;Zhang, Xudong;Guo, Jianchun;Xu, Yaqin;Chen, Li;Yuan, Shuhang;Wang, Yonghui;Huang, Jingya
    • Geomechanics and Engineering
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    • v.9 no.5
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    • pp.645-667
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    • 2015
  • Single treatment and staged treatments in vertical wells are widely applied in sandstone and mudstone thin interbedded (SMTI) reservoir to stimulate the reservoir. The keys and difficulties of stimulating this category of formations are to avoid hydraulic fracture propagating through the interface between shale and sand as well as control the fracture height. In this paper, the cohesive zone method was utilized to build the 3-dimensional fracture dynamic propagation model in shale and sand interbedded formation based on the cohesive damage element. Staged treatments and single treatment were simulated by single fracture propagation model and double fractures propagation model respectively. Study on the changes of fracture vicinity stress field during propagation is to compare and analyze the parameters which influence the interfacial induced stresses between two different fracturing methods. As a result, we can prejudge how difficult it is that the fracture propagates along its height direction. The induced stress increases as the pumping rate increasing and it changes as a parabolic function of the fluid viscosity. The optimized pump rate is $4.8m^3/min$ and fluid viscosity is $0.1Pa{\cdot}s$ to avoid the over extending of hydraulic fracture in height direction. The simulation outcomes were applied in the field to optimize the treatment parameters and the staged treatments was suggested to get a better production than single treatment.

An Analysis of Computer Terms of Computer Textbooks in Elementary School (초등학교 컴퓨터 교과서에 사용된 컴퓨터 용어 분석)

  • Kim, Kap-Su;Hong, M.H.;Youn, Jung-Suk
    • Journal of The Korean Association of Information Education
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    • v.8 no.3
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    • pp.433-446
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    • 2004
  • We must know computer terms to use, learn, and understand efficiently. It is important for the elementary school students who learn computer for the first time to understand computer terms correctly. This study investigates a computer terms in the elementary school computer textbook which have been used currently at the elementary school, selects suitable computer terms for the elementary school student, analyzes and classifies them as a 1 2th grade, a 3 4th grade, 5 6th grade by the elementary school computer curriculum, and also classifies those as information ethics, computer basic, application software, computer communication by the category. The expectations of this study are as follows. First, the result of this offers teacher to a computer terms guidance for usability which is essential to elementary school's computer class. Second, this can be used as a reference in making a elementary computer textbook or studying and training textbook for teachers. Third, this offers teachers to an important criteria when they select a computer textbook for elementary student in elementary school.

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Differential Effects of Nongenotoxic and Genotoxic Carcinogens on the Preneoplastic Lesions in the gat Liver

  • Kim, Dae-Joong;Lee, Kook-Kyung;Hong, Jin-Tae
    • Archives of Pharmacal Research
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    • v.21 no.4
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    • pp.363-369
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    • 1998
  • Glutathione S-transferase placental form (GST-P) positive foci development and its expression in liver exposed by nongenotoxic carcinogens phenobarbital (PB) and clofibrate (CF), and genotoxic carcinogen 2-amino-3-methylimidazo[4,5-f] quinoline (IQ) were investigated as a measure of carcinogenic potential of these chemicals. Male F344 rats were initially given a single intraperitioneal injection of diethyinitrosamine (200 mg/kg), and 2 weeks later, animals were fed diets containing 0.03% IQ or 0.5% CF or 0.05% PB or basal diet as a control for 6 weeks. All rats were subjected to two-thirds partial hepatectomy (PH) at week 3. Sequential sacrifice of rats was performed at 8 weeks or 52 weeks, and liver tissues were examined for immunohistochemical staining of GST-P positive foci. The numbers (No./$cm^2$) and areas ($mm^2$/ $cm^2$) of GST-P positive foci were increased by IQ or PB, but were decreased by CF compare to the control. Consistent with the development of GST-P positive foci, a time-related increase in the expression of GST-P mRNA was found in the rats treated with IQ, whereas CF decreased it. The incidence of hepatocellular carcinoma at 52 weeks was increased by all three chemicals. These results show that PB and IQ induced GST-P positive foci, but the peroxisome proliferator CF did not, which suggest that the prediction of carcinogenic potency based on the development of prenoplastic foci may cause false negative in a particular category compounds like peroxisome proliferators.

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A Questionnaire Survey and Analysis Results for the Education System of Maritime College in K.M.U (한국해양대학교 해사대학 해기교육시스템에 대한 학생 설문조사 및 결과분석)

  • Moon Serng-Bae;Choi Hyun-Kue
    • Journal of Navigation and Port Research
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    • v.30 no.5 s.111
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    • pp.381-387
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    • 2006
  • Recently maritime colleges in Korea have confronted with many difficulties on account of changes of educational circumstance such as increasing the number of low-wage foreign officers on board Korea-registered vessels, weakening international competitive power, avoiding reaction in the field of 3D occupational category etc. Therefore, We are drawing up a efficient educational system cultivating the well-trained marine officers who will take a more active role in the ear of 21C marine revolution The questionnaire was composed of 5 courses-entrance into a school, classwork, campus life, on-board training, choosing occupations and conducted the questionnaire survey of students in Maritime College in Korea Maritime University. And the analysis was carried out to understand the changes of student's consciousness structure and find out the problems of current maritime education system.

Behavioural Determinants for Obesity: A Cross-sectional Study Among Urban Adolescents in India

  • Rani, M. Anitha;Sathiyasekaran, B.W.C.
    • Journal of Preventive Medicine and Public Health
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    • v.46 no.4
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    • pp.192-200
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    • 2013
  • Objectives: To measure the prevalence of behavioural risk factors for obesity among urban adolescent school children in Chennai, India. Methods: This study was performed as a cross-sectional study using a World Health Organization-designed Global School-based Student Health Survey questionnaire (modified for India) among adolescent school children studying in 30 randomly selected secondary and higher secondary schools in Chennai city. 1842 adolescents studying in the VIII to XII standards were randomly selected for the study. Results: In the present study, 40.7% of the students ate fruit one or more times per day and 74.5% of the students ate vegetables one or more times per day. Nearly 20% of the students ate fast food items on 4 to 7 days during the previous week. Among the students, 30.4% watched television for more than two hours per day. Nearly 68% of the girls and 22% of the boys did not participate in outdoor sports activities. When the pattern of physical activity of the students was assessed, it was observed that 15.6% were inactive, 43.4% were minimally active, and the remaining 41.0% belonged to the category of health enhancing physical activity. Among the students, 6.2% were overweight and 5.2% were obese. Conclusions: The prevalence of risk factors for obesity was quite high among the adolescents. This study also showed that a great proportion of overweight/obese adolescents had a correct perception of their body weight and they were making efforts to modify risk factors such as television viewing, computer use, a sedentary lifestyle, and unhealthy dietary habits.

Selecting Multiple Query Examples for Active Learning (능동적 학습을 위한 복수 문의예제 선정)

  • 강재호;류광렬
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.541-543
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    • 2004
  • 능동적 학습(active learning)은 제한된 시간과 인력으로 가능한 정확도가 높은 분류기(classifier)를 생성하기 위하여, 훈련집합에 추가할 예제 즉 문의예제(query example)의 선정과 확장된 훈련집합으로 다시 학습하는 과정을 반복하여 수행한다. 능동적 학습의 핵심은 사용자에게 카테고리(category) 부여를 요청할 문의예제를 선정하는 과정에 있다. 효과적인 문의예제를 선정하기 위하여 다양한 방안들이 제안되었으나, 이들은 매 문의단계마다 하나의 문의예제를 선정하는 경우에 가장 적합하도록 고안되었다. 능동적 학습이 복수의 예제를 사용자에게 문의할 수 있다면, 사용자는 문의예제들을 서로 비교해 가면서 작업할 수 있으므로 카테고리 부여작업을 보다 빠르고 정확하게 수행할 수 있을 것이다. 또한 충분한 인력을 보유한 상황에서는, 카테고리 부여작업을 병렬로 처리할 수 있어 전반적인 학습시간의 단축에 큰 도움이 될 것이다. 하지만, 각 예제의 문의예제로써의 적합 정도를 추정하면 유사한 예제들은 서로 비슷한 수준으로 평가되므로, 기존의 방안들을 복수의 문의예제 선정작업에 그대로 적용할 경우, 유사한 예제들이 문의예제로 동시에 선정되어 능동적 학습의 효율이 저하되는 현상이 나타날 수 있다. 본 논문에서는 특정 예제를 문의예제로 선정하면 이와 일정 수준이상 유사한 예제들은 해당 예제와 함께 문의예제로 선정하지 않음으로써, 이러한 문제점을 극복할 수 있는 방안을 제안한다. 제안한 방안을 문서분류 문제에 적용해 본 결과 기존 문의예제 선정방안으로 복수 문의예제를 선정할 때 발생할 수 있는 문제점을 상당히 완화시킬 있을 뿐 아니라, 복수의 문의예제를 선정하더라도 각 문의 단계마다 하나의 예제를 선정하는 경우에 비해 큰 성능의 저하가 없음을 실험적으로 확인하였다./$m\ell$로 나타났다.TEX>${HCO_3}^-$ 이온의 탈착은 서서히 진행되었다. R&D investment increases are directly not liked to R&D productivities because of delays and side effects during transition periods between different stages of technology development. Thus, It is necessary to develope strategies in order to enhance efficiency of technological development process by perceiving the switching pattern. 기여할 수 있을 것으로 기대된다. 것이다.'ity, and warm water discharges from a power plant, etc.h to the way to dispose heavy water adsorbent. Through this we could reduce solid waste products and the expense of permanent disposal of radioactive waste products and also we could contribute nuclear power plant run safely. According to the result we could keep the best condition of radiation safety super vision and we could help people believe in safety with Radioactivity wastes control for harmony with Environ

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Study on the Seismic Performance for Low-rised RC Building with Vertical and Torsional Irregularities (수직비정형과 비틀림비정형을 동시에 가지는 저층 RC 건물의 내진성능에 관한 연구)

  • Choi, In-Hyuk;Baek, Eun-Rim;Lee, Sang-Ho
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.35 no.12
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    • pp.137-148
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    • 2019
  • Korean piloti-type buildings are comprised of pilotis in the first story and shear walls in the upper stories. This vertical irregularity causes excessive lateral plastic deformation on the first story while the upper stories stay elastic. Meanwhile, asymmetric position of structural components such as core walls and columns of RC piloti-type buildings tends to produce torsional irregularities of the structures. Korean Building Code(KBC2016) requires the special seismic load and torsional amplification factor to apply to the piloti-type buildings lower than six-story or 20m if it has vertical and torsional irregularities when the building corresponds to seismic design category C or D. Many Korean low-rised RC buildings fall into the class. Therefore, the special earthquake load and torsional amplification factor are often applied to a building simultaneously. However, it has not been studied enough how much influence each parameter has on buildings with vertical and torsional irregularities at the same time. The purpose of this study is to evaluate the effect of factor special seismic load and torsional amplification on seismic performance of irregular buildings. In this study, a damaged 4th story piloti-type building by the Pohang earthquake was selected and the earthquake response analysis was carried out with various seismic design methods by the KBC 2016. The effect of the design parameters on seismic performance was analyzed by the dynamic analysis of models with special seismic load and torsional amplification factor based on the selected building. It was concluded that the application of the torsional amplification factor to the reference model to which special seismic design was applied, does not significantly affect the seismic performance.

Language-based Classification of Words using Deep Learning (딥러닝을 이용한 언어별 단어 분류 기법)

  • Zacharia, Nyambegera Duke;Dahouda, Mwamba Kasongo;Joe, Inwhee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.411-414
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    • 2021
  • One of the elements of technology that has become extremely critical within the field of education today is Deep learning. It has been especially used in the area of natural language processing, with some word-representation vectors playing a critical role. However, some of the low-resource languages, such as Swahili, which is spoken in East and Central Africa, do not fall into this category. Natural Language Processing is a field of artificial intelligence where systems and computational algorithms are built that can automatically understand, analyze, manipulate, and potentially generate human language. After coming to discover that some African languages fail to have a proper representation within language processing, even going so far as to describe them as lower resource languages because of inadequate data for NLP, we decided to study the Swahili language. As it stands currently, language modeling using neural networks requires adequate data to guarantee quality word representation, which is important for natural language processing (NLP) tasks. Most African languages have no data for such processing. The main aim of this project is to recognize and focus on the classification of words in English, Swahili, and Korean with a particular emphasis on the low-resource Swahili language. Finally, we are going to create our own dataset and reprocess the data using Python Script, formulate the syllabic alphabet, and finally develop an English, Swahili, and Korean word analogy dataset.

A Comparison of the Foot Dimensions and Foot Characteristics of Adult Obese Men using Body Mass Index (체질량지수에 따른 발 치수 비교 및 비만 성인 남성의 발 특성 연구)

  • Namsoon Kim;Wolhee Do
    • Fashion & Textile Research Journal
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    • v.25 no.1
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    • pp.52-61
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    • 2023
  • This study aimed to present data for the development of a shoe which is suitable for plus-size men (BMI 25kg/m2 or higher) and to analyze the characteristics of each type of foot. The results of the study are as follows. To assess foot shape in relation to weight gain, participants were categorized into normal weight, overweight, and obese weight groups, according to their BMI indexes. Those in the normal weight group exhibited a smaller value than the overweight or obese weight group in all items. As a result of the cluster analysis, by type of foot, of the obese men category, men were classified into four BMI index groups: members of the type 1 group had a BMI index of 157 (18.4% of total sample), while for type 2 the figure was 213 (25.0% of sample), for type 3 it was 259 (30.4%), and for type 4 it stood at 224 (26.3% of total sample). Those from the type 1 group had thin ankles with narrow toes and flattened sides. Type 2 group members had thick ankles with well-developed outer feet and thick sides. Those within the type 3 group had medium-thick ankles with narrow feet but wide inner feet. Finally, those in the type 4 group had feet with a slanted side, as well as thick ankles, wide feet, and flat sides. Among these categories, the type 3 group members indicated the highest distribution.

A Novel Two-Stage Training Method for Unbiased Scene Graph Generation via Distribution Alignment

  • Dongdong Jia;Meili Zhou;Wei WEI;Dong Wang;Zongwen Bai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.12
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    • pp.3383-3397
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    • 2023
  • Scene graphs serve as semantic abstractions of images and play a crucial role in enhancing visual comprehension and reasoning. However, the performance of Scene Graph Generation is often compromised when working with biased data in real-world situations. While many existing systems focus on a single stage of learning for both feature extraction and classification, some employ Class-Balancing strategies, such as Re-weighting, Data Resampling, and Transfer Learning from head to tail. In this paper, we propose a novel approach that decouples the feature extraction and classification phases of the scene graph generation process. For feature extraction, we leverage a transformer-based architecture and design an adaptive calibration function specifically for predicate classification. This function enables us to dynamically adjust the classification scores for each predicate category. Additionally, we introduce a Distribution Alignment technique that effectively balances the class distribution after the feature extraction phase reaches a stable state, thereby facilitating the retraining of the classification head. Importantly, our Distribution Alignment strategy is model-independent and does not require additional supervision, making it applicable to a wide range of SGG models. Using the scene graph diagnostic toolkit on Visual Genome and several popular models, we achieved significant improvements over the previous state-of-the-art methods with our model. Compared to the TDE model, our model improved mR@100 by 70.5% for PredCls, by 84.0% for SGCls, and by 97.6% for SGDet tasks.