• 제목/요약/키워드: considerable factor

검색결과 577건 처리시간 0.022초

The Analysis of Random Propagating Worms using Network Bandwidth

  • Ko, Kwang-Sun;Jang, Hyun-Su;Park, Byuong-Woon;Eom, Young-Ik
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제4권2호
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    • pp.191-204
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    • 2010
  • There is a well-defined propagation model, named the random constant spread (RCS) model, which explains worms that spread their clones with a random scanning strategy. This model uses the number of infected hosts in a domain as a factor in the worms' propagation. However, there are difficulties in explaining the characteristics of new Internet worms because they have several considerable new features: the denial of service by network saturation, the utilization of a faster scanning strategy, a smaller size in the worm's propagation packet, and to cause maximum damage before human-mediated responses are possible. Therefore, more effective factors are required instead of the number of infected hosts. In this paper, the network bandwidth usage rate is found to be an effective factor that explains the propagations of the new Internet worms with the random scanning strategy. The analysis and simulation results are presented using this factor. The simulation results show that the scan rate is more sensitive than the propagation packet for detecting worms' propagations.

A study on the effect of flat plate friction resistance on speed performance prediction of full scale

  • Park, Dong-Woo
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제7권1호
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    • pp.195-211
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    • 2015
  • Flat plate friction lines have been used in the process to estimate speed performance of full-scale ships in model tests. The results of the previous studies showed considerable differences in determining form factors depending on changes in plate friction lines and Reynolds numbers. These differences had a great influence on estimation of speed performance of full-scale ships. This study was conducted in two parts. In the first part, the scale effect of the form factor depending on change in the Reynolds number was studied based on CFD, in connection with three kinds of friction resistance curves: the ITTC-1957, the curve proposed by Grigson (1993; 1996), and the curve developed by Katsui et al. (2005). In the second part, change in the form factor by three kinds of friction resistance curves was investtigated based on model tests, and then the brake power and the revolution that were finally determined by expansion processes of full-scale ships. When three kinds of friction resistance curves were applied to each kind of ships, these were investigated: differences between resistance and self-propulsion components induced in the expansion processes of full-scale ships, correlation of effects between these components, and tendency of each kind of ships. Finally, what friction resistance curve was well consistent with results of test operation was examined per each kind of ships.

Relevance vector based approach for the prediction of stress intensity factor for the pipe with circumferential crack under cyclic loading

  • Ramachandra Murthy, A.;Vishnuvardhan, S.;Saravanan, M.;Gandhic, P.
    • Structural Engineering and Mechanics
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    • 제72권1호
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    • pp.31-41
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    • 2019
  • Structural integrity assessment of piping components is of paramount important for remaining life prediction, residual strength evaluation and for in-service inspection planning. For accurate prediction of these, a reliable fracture parameter is essential. One of the fracture parameters is stress intensity factor (SIF), which is generally preferred for high strength materials, can be evaluated by using linear elastic fracture mechanics principles. To employ available analytical and numerical procedures for fracture analysis of piping components, it takes considerable amount of time and effort. In view of this, an alternative approach to analytical and finite element analysis, a model based on relevance vector machine (RVM) is developed to predict SIF of part through crack of a piping component under fatigue loading. RVM is based on probabilistic approach and regression and it is established based on Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. Model for SIF prediction is developed by using MATLAB software wherein 70% of the data has been used for the development of RVM model and rest of the data is used for validation. The predicted SIF is found to be in good agreement with the corresponding analytical solution, and can be used for damage tolerant analysis of structural components.

우수한 공통 모드 노이즈 특성을 가진 브릿지 다이오드가 없는 고효율 PFC 컨버터 (High Efficiency Bridgeless Power Factor Correction Converter With Improved Common Mode Noise Characteristics)

  • 장효서;이주영;김문영;강정일;한상규
    • 전력전자학회논문지
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    • 제27권2호
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    • pp.85-91
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    • 2022
  • This study proposes a high efficiency bridgeless Power Factor Correction (PFC) converter with improved common mode noise characteristics. Conventional PFC has limitations due to low efficiency and enlarged heat sink from considerable conduction loss of bridge diode. By applying a Common Mode (CM) coupled inductor, the proposed bridgeless PFC converter generates less conduction loss as only a small magnetizing current of the CM coupled inductor flows through the input diode, thereby reducing or removing heat sink. The input diode is alternately conducted every half cycle of 60 Hz AC input voltage while a negative node of AC input voltage is always connected to the ground, thus improving common mode noise characteristics. With the aim to improve switching loss and reverse recovery of output diode, the proposed circuit employs Critical Conduction Mode (CrM) operation and it features a simple Zero Current Detection (ZCD) circuit for the CrM. In addition, the input current sensing is possible with the shunt resistor instead of the expensive current sensor. Experimental results through 480 W prototype are presented to verify the validity of the proposed circuit.

An SDOF model of a four-sided fixed RC wall having an opening for blast response simulation

  • S.H., Sung;H., Ji
    • Structural Engineering and Mechanics
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    • 제84권5호
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    • pp.675-684
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    • 2022
  • The conventional single-degree-of-freedom (SDOF) system is appropriate for dynamic response analysis of paneltype structures without an opening. However, the typical building structures usually have four-sided fixed walls having an opening. Therefore, it may induce a considerable error when dynamic responses are estimated based on the conventional SDOF system, since the SDOF system cannot consider the effect of an opening during the SDOF analysis. For this reason, this study proposes a new SDOF system to consider the effect of an opening by adjusting its load-mass factor. The load-mass factor can be modified based on the assumption that the behaviors of the four-sided fixed wall with an opening is very similar to the behaviors of the same size wall without an opening, when the uniformly distributed blast loaded area is identical. In order to confirm a feasibility of the proposed SDOF system, a series of numerical simulations were carried out for the four-sided fixed reinforced concrete (RC) wall under a blast load. The dynamic responses estimated from the proposed SDOF system and the conventional SDOF system were compared with the dynamic responses evaluated from the finite element (FE) analysis. Especially, for the maximum dynamic responses except for 50% opening case, the proposed SDOF system had about 1.1% to 25.7% normalized errors while the conventional SDOF system had about 4.1% to 49.1% normalized errors.

딥러닝 기반 교량 점검보고서의 손상 인자 인식 (Bridge Damage Factor Recognition from Inspection Reports Using Deep Learning)

  • 정세환;문성현;지석호
    • 대한토목학회논문집
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    • 제38권4호
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    • pp.621-625
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    • 2018
  • 본 연구는 딥러닝을 활용하여 교량 점검보고서에서 손상 및 손상 인자를 자동으로 식별하는 방법을 제안한다. 교량 점검보고서에는 점검 결과 발견된 손상 및 원인 분석 결과가 기록되어 있다. 그러나 점검보고서의 양이 방대하여 인력으로 보고서로부터 정보를 수집하는 데 한계가 있다. 따라서 본 연구에서는 딥러닝 기반 개체명 인식 방법을 활용하여 교량 점검보고서 텍스트로부터 손상 및 손상 인자에 해당하는 단어들을 식별할 수 있는 모델을 제안한다. 모델 구현의 주요 방법론으로는 개체명 인식(Named Entity Recognition), 워드 임베딩(Word Embedding), 딥러닝의 일종인 순환신경망(Recurrent Neural Network)을 활용하였다. 실험 결과 제안된 모델은 1)훈련 데이터에 포함된 손상 및 손상 인자 단어들을 잘 식별할 수 있고, 2)단어 주변 맥락에 따라 특정 단어가 손상에 해당하는지 손상 인자에 해당하는지 잘 판별할 수 있을 뿐만 아니라, 3)훈련 데이터에 포함되지 않은 새로운 종류의 손상 단어도 잘 인식할 수 있는 것으로 확인되었다.

2행정 소형엔진의 대기오염물질 배출특성에 관한 연구 (A Study on the Characteristic of Emission for Air Pollutant by Small Two-stroke Engines)

  • 김필수;최상진;박건진;한용희;김대곤;여소영;김정;고지원;장영기
    • 한국대기환경학회지
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    • 제32권6호
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    • pp.613-623
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    • 2016
  • In this study, pilot experiments were conducted by setting operation conditions to analyze characteristics of emission for air pollutant from small two-stroke engines. Emission factors of the measured concentration of pollutant were compared with EEA. Emission factor of CO analyzed by experiments - concentration, flow rate, fuel consumption, etc.- was estimated at 816,011 g-CO/ton-fuel in average. It was confirmed that more than 80% of the fuel consumption is discharged to the Carbon Monoxide, and that as the engine load becomes higher, emission factor of CO increases in the form of log function. The average emission factor of $NO_x$ and $PM_{10}$ was $3,801g-NO_x/ton-fuel$ and $3,730g-PM_{10}/ton-fue$l each. The deviation was not large by comparing the fuel-based emission factor of EEA and the result of this study. Since considerable pollutants are expected to be discharged from the small two-stroke engines, continuous research and support of the policy is required.

청소년의 식품에 대한 가치 구조의 분석 연구 (The Study of Value Evaluation of Foods in Urban Adolescents)

  • 문수재;이영미
    • 한국식생활문화학회지
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    • 제1권2호
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    • pp.142-156
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    • 1986
  • The purpose of the present study was to investigate the value evaluation of food in urban Korean adolescents. The conclusions drawn from the analysis of values of foods are as follows: 1. There are five factors drawn from the analysis of values of foods, that is, subjective evaluational factor. Objective factors are social factor, economic factor, quality attribute factor, and freguency of food intake factor. And it has been revealed that there is some relationship between these factors. The subjective evaluational variable depends most strongly on the sensory variable, especially taste, flavor, color and shape of food, described in the order of influence. It also depends on the experiential frequency of intake. 2. With regard to the attitude of evaluation of food, there is a considerable difference between junior high school students and high school students, and between male and female students, This difference can be noticed in almost all the variables dealt with in this study, especially in the subjective evaluational aspect, experiential aspect, and social aspect, A significant difference was found between junior high school students and high school students and between male and female students on both subjective and objective values of foods. Male students valued food which brought about a 'Satiety' more so than female. And consequently, they take such kinds of foods more frequently. More female students than male students and more junior high school students than high school students have a strong conception of the socio-cultural value of foods, that is, the spatial and temporal symbol of foods.

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보호요인의 매개효과를 통한 조손가족 청소년의 학교 적응유연성에 관한 연구 (The study on the school resilience of grandparent-grandchildren family adolescent through mediation effect of protective factor)

  • 송유미;이윤형
    • 사회복지연구
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    • 제40권3호
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    • pp.41-68
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    • 2009
  • 조손가족 청소년들은 일반 가족의 청소년들에 비해 부정적인 환경에 노출됨으로써 심리사회적으로 부정적인 영향을 받는 경향이 높기 때문에 중요하게 검토되어야 한다. 이와 관련하여 조손가족 청소년의 위험요인, 보호요인과 학교 적응유연성 간의 관계를 다룬 연구가 이루어지고 있으나, 대부분 청소년의 위험요인, 보호요인과 학교 적응유연성 간의 단편적인 관계를 설명하는데 그치고 있다. 이에 본 연구는 조손가족 청소년의 위험요인과 보호요인 간, 그리고 이들과 학교 적응유연성 간의 매개적인 경로와 인과관계를 살펴보는데 목적을 두었다. 이를 위해 전국 단위의 조손가족 청소년 328명을 대상으로 조사하였고, 분석방법은 SEM을 사용하였다. 분석결과는 다음과 같다. 조손가족 청소년의 위험요인, 보호요인과 학교적응유연성 간의 직접효과와 보호요인의 매개효과를 검증하기 위해 구조회귀모형을 검증한 결과 모형의 적합도가 타당하게 나타났다. 위험요인은 청소년의 학교적응유연성에 부정적 영향을 미치며(교사의 무관심, 부정적 애착관계, 우울불안 순), 보호요인은 학교 적응유연성에 긍정적 영향을 미쳤다(교사의 지지, 자아존중감 순). 또 보호요인은 위험요인이 학교 적응유연성에 미치는 부정적 영향을 매개하여 완화시키는 것으로 나타났다.

Cross-cultural adaptation and validation of the Turkish Yellow Flag Questionnaire in patients with chronic musculoskeletal pain

  • Koc, Meltem;Bazancir, Zilan;Apaydin, Hakan;Talu, Burcu;Bayar, Kilichan
    • The Korean Journal of Pain
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    • 제34권4호
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    • pp.501-508
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    • 2021
  • Background: Yellow flags are psychosocial factors shown to be indicative of long-term chronicity and disability. The purpose of the study was to evaluate the psychometric properties of the Turkish Yellow Flag Questionnaire (YFQ) in patients with chronic musculoskeletal pain (CMP). Methods: The cross-cultural adaptation was conducted with translation and back-translation of the original version. Reliability (internal consistency and test-retest) was examined for 231 patients with CMP. Construct validity was assessed by correlating the YFQ with the Hospital Anxiety and Depression Scale (HADS), Orebro Musculoskeletal Pain Questionnaire (OMPQ), and Tampa Kinesiophobia Scale (TKS). Factorial validity was examined with both exploratory and confirmatory factorial analysis. Results: The YFQ showed excellent test/retest reliability with an Intraclass correlation coefficient of 0.82. The internal consistency was moderate (Cronbach's alpha of 0.797). As a result of the exploratory factor analysis, there were 7 domains compatible with the original version. As a result of confirmatory factor analysis, the seven-factor structure of YFQ was confirmed. There was a statistically significant correlation between YFQ-total score and OMPQ (r = 0.57, P < 0.001), HADS-anxiety (r = 0.32, P < 0.001), HADS-depression (r = 0.44, P < 0.001), and TKS (r = 0.37, P < 0.001). Conclusions: This study's results provide considerable evidence that the Turkish version of the YFQ has appropriate psychometric properties, including test-retest reliability, internal consistency, construct validity and factorial validity. It can be used for evaluating psychosocial impact in patients with CMP.