• Title/Summary/Keyword: 이주 기법

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A study of Modeling and Simulation for Analyzing DDoS Attack Damage Scale and Defence Mechanism Expense (DDoS 공격 피해 규모 및 대응기법 비용분석을 위한 모델링 및 시뮬레이션 기술연구)

  • Kim, Ji-Yeon;Lee, Ju-Li;Park, Eun-Ji;Jang, Eun-Young;Kim, Hyung-Jong
    • Journal of the Korea Society for Simulation
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    • v.18 no.4
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    • pp.39-47
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    • 2009
  • Recently, the threat of DDoS attacks is increasing and many companies are planned to deploy the DDoS defense solutions in their networks. The DDoS attack usually transmits heavy traffic data to networks or servers and they cannot handle the normal service requests because of running out of resources. Since it is very hard to prevent the DDoS attack beforehand, the strategic plan is very important. In this work, we have conducted modeling and simulation of the DDoS attack by changing the number of servers and estimated the duration that services are available. In this work, the modeling and simulation is conducted using OPNET Modeler. The simulation result can be used as a parameter of trade-off analysis of DDoS defense cost and the service's value. In addition, we have presented a way of estimating the cost effectiveness in deployment of the DDoS defense system.

Biomechanical Research Trends for Alpine Ski Analysis (알파인 스키 분석을 위한 운동역학 연구 동향)

  • Lee, Jusung;Moon, Jeheon;Kim, Jinhae;Hwang, Jinny;Kim, Hyeyoung
    • 한국체육학회지인문사회과학편
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    • v.57 no.6
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    • pp.293-308
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    • 2018
  • This study was carried out to investigate the current trends in skiing-related research from existing literature in the field of kinematics, measurement sensor and computer simulation. In the field of kinematics, research is being conducted on the mechanism of ski turn, posture analysis according to the grade and skill level of skiers, friction force of ski and snow, and air resistance. In the field of measurement sensor and computer simulation, researches are being conducted for researching and developing equipment using IMU sensor and GPS. The results of this study are as follows. First, beyond the limits of the existing kinematic analysis, it is necessary to develop measurement equipment that can analyze the entire skiing area and can be deployed with ease at the sports scene. Second, research on the accuracy of information obtained using measurement sensors and various analysis techniques based on these measures should be carried out continuously to provide data that can help the sports scene. Third, it is necessary to use computer simulation methods to clarify the injury mechanism and discover ways to prevent injuries related to skiing. Fourth, it is necessary to provide optimized ski trajectory algorithm by developing 3D ski model using computer simulation and comparing with actual skiing data.

A Study about Learning Graph Representation on Farmhouse Apple Quality Images with Graph Transformer (그래프 트랜스포머 기반 농가 사과 품질 이미지의 그래프 표현 학습 연구)

  • Ji Hun Bae;Ju Hwan Lee;Gwang Hyun Yu;Gyeong Ju Kwon;Jin Young Kim
    • Smart Media Journal
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    • v.12 no.1
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    • pp.9-16
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    • 2023
  • Recently, a convolutional neural network (CNN) based system is being developed to overcome the limitations of human resources in the apple quality classification of farmhouse. However, since convolutional neural networks receive only images of the same size, preprocessing such as sampling may be required, and in the case of oversampling, information loss of the original image such as image quality degradation and blurring occurs. In this paper, in order to minimize the above problem, to generate a image patch based graph of an original image and propose a random walk-based positional encoding method to apply the graph transformer model. The above method continuously learns the position embedding information of patches which don't have a positional information based on the random walk algorithm, and finds the optimal graph structure by aggregating useful node information through the self-attention technique of graph transformer model. Therefore, it is robust and shows good performance even in a new graph structure of random node order and an arbitrary graph structure according to the location of an object in an image. As a result, when experimented with 5 apple quality datasets, the learning accuracy was higher than other GNN models by a minimum of 1.3% to a maximum of 4.7%, and the number of parameters was 3.59M, which was about 15% less than the 23.52M of the ResNet18 model. Therefore, it shows fast reasoning speed according to the reduction of the amount of computation and proves the effect.

Analysis of Reinforcement Effect of Steel-Concrete Composite Piles by Numerical Analysis (I) - Material Strength - (수치해석을 이용한 강관합성말뚝의 보강효과 분석 (I) - 재료 강도 -)

  • Kim, Sung-Ryul;Lee, Juhyung;Park, Jae-Hyun;Chung, Moonkyung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.6C
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    • pp.259-266
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    • 2009
  • The steel pipe of steel-concrete composite piles increases the pile strength and induces the ductile failure by constraining the deformation of the inner concrete. In this research, the numerical models and the related input parameters were analyzed to simulate the axial load-movement relations, which were obtained from the compression loading tests for the cylindrical specimens of the steel pipe, the concrete, and the steel-concrete composite. As the results, the behavior of the steel pipe was simulated by the von-Mises model and that of the concrete by the strain-softening model, which decreases cohesion and dilation angles as the function of plastic strains. In addition, the reinforcing bars in the concrete were simulated by applying the yielding moment and decreasing the sectional area of the bars. The applied numerical models properly simulated the yielding behavior and the reinforcement effect of the steel-concrete composite piles. The parametric study for the real-size piles showed that the material strength of the steel-concrete composite pile increased about 10% for the axial loading and about 20~45% for the horizontal loading due to the reinforcement effect by the surrounding steel pipe pile.

A Study on the Buddhist Sculptures of Modern Buddhist Artist SeokhaSichan (근대기 금어(金魚) 석하시찬(石霞施讚)의 불상 연구)

  • LEE Jumin
    • Korean Journal of Heritage: History & Science
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    • v.57 no.2
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    • pp.52-78
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    • 2024
  • This study analyzes the sculptural art of SeokhaSichan(石霞施讚, 1893-1958), a significant figure in modern Korean Buddhist art, to re-examine his contributions and standing in the history of Korean Buddhist art. Sichan expanded the boundaries of modern Korean Buddhist art by developing a unique style based on the traditional sculptural techniques he learned from his mentor, Wanho Nakhyeon (玩虎洛現, 1869~1933). This study explores Sichan's artistic development, focusing on his artistic characteristics and sculptural evolution. Sichan's early works are characterized by small sculptures modeled after the main Buddha of Seokguram Grotto and heavily influenced by his mentor, WanhoNakhyeon. In his later works, notable features include a sense of massive volume, larger scale, upright postures, integration of the Buddha statue with its pedestal, and decorative treatment of drapery. These changes are interpreted as Sichan's response to social changes and his reflection of inner contemplation and artistic exploration in his works. This study reveals the influences of Wanho Nakhyeon, collaborations with Toewon Woneil(退雲圓日, 1877~1939), interactions with patron Kim Jiseonghwa(金至誠華), and master-disciple relationship with successor Geumchun Seongpil(金春性必) through literature review and newly discovered works by Sichan. His works and his artistic evolution are pivotal milestones in the history of modern Korean Buddhist sculpture, demonstrating a unique integration of traditional and modern aesthetics. This study provides valuable insights into how Sichan's artistic legacy was inherited and developed by subsequent generations and offers crucial materials for the study of modern Korean Buddhist sculpture history.

Identification of Employee Experience Factors and Their Influence on Job Satisfaction (직원경험 요인 파악 및 직무 만족도에 끼치는 영향력 분석)

  • Juhyeon Lee;So-Hyun Lee;Hee-Woong Kim
    • Information Systems Review
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    • v.25 no.2
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    • pp.181-203
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    • 2023
  • With the fierce competition of companies for the attraction of outstanding individuals, job satisfaction of employees has been of importance. In this circumstance, many companies try to invest in job satisfaction improvement by finding employees' everyday experiences and difficulties. However, due to a lack of understanding of the employee experience, their investments are not paying off. This study examined the relationship between employee experience and job satisfaction using employee reviews and company ratings from Glassdoor, one of the largest employee communities worldwide. We use text mining techniques such as K-means clustering and LDA topic-based sentiment analysis to extract key experience factors by job level, and DistilBERT sentiment analysis to measure the sentiment score of each employee experience factor. The drawn employee experience factors and each sentiment score were analyzed quantitatively, and thereby relations between each employee experience factor and job satisfaction were analyzed. As a result, this study found that there is a significant difference between the workplace experiences of managers and general employees. In addition, employee experiences that affect job satisfaction also differed between positions, such as customer relationship and autonomy, which did not affect the satisfaction of managers. This study used text mining and quantitative modeling method based on theory of work adjustment so as to find and verify main factors of employee experience, and thus expanded research literature. In addition, the results of this study are applicable to the personnel management strategy for improving employees' job satisfaction, and are expected to improve corporate productivity ultimately.

Effect of Patient's Positioning on the Grade of Tendinosis and Visible Range of Infraspinatus Tendon on Ultrasound (초음파 영상에서 극하근 힘줄병의 단계와 관찰가능 범위에 환자의 자세가 미치는 영향)

  • Jee Won Chai;Joo-ho Lee;Dong Hyun Kim;Jina Park;So-Hee Oh;Su-Mi Shin
    • Journal of the Korean Society of Radiology
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    • v.84 no.3
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    • pp.627-637
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    • 2023
  • Purpose To investigate the effect of patient positioning on tendinosis grade, visible range, and infraspinatus tendon (IST) thickness, and to determine the feasibility of internal rotation (IR) position to assess IST on ultrasound (US). Materials and Methods This study included 52 shoulders of 48 subjects who were evaluated for IST in three different positions: neutral position (N), IR, and position with the ipsilateral hand on the contralateral shoulder (HC). Two radiologists retrospectively graded IST tendinosis from grade 0 to grade 3 and the visible range from grade 1 to grade 4. The thickness of the IST was measured by another radiologist with a short-axis view. A generalized estimating equation was used for statistical analysis. Results The tendinosis grades were higher in the HC position than in the IR position, with a cumulative odds ratio of 2.087 (p = 0.004, 95% confidence interval [CI]: 1.268-3.433). The tendinosis grades in the HC position (p = 0.370) and IR position (p = 0.146) were not significantly different from those in the N position. The overall difference in IST thickness was significant (p < 0.001), but the visible range (p = 0.530) was not significantly different according to position. Conclusion Patient positioning significantly affected the grade of tendinosis and thickness but not the visible range of the IST. The IR position is a feasible position for assessing the IST on US.

Accuracy Assessment of Tide Models in Terra Nova Bay, East Antarctica, for Glaciological Studies of DDInSAR Technique (DDInSAR 기반의 빙하연구를 위한 동남극 테라노바 만의 조위모델 정밀도 평가)

  • Han, Hyangsun;Lee, Joohan;Lee, Hoonyol
    • Korean Journal of Remote Sensing
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    • v.29 no.4
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    • pp.375-387
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    • 2013
  • Accuracy assessment of tide models in polar ocean has to be performed to accurately analyze tidal response of glaciers by using Double-Differential Interferometric SAR (DDInSAR) technique. In this study, we used 120 DDInSAR images generated from 16 one-day tandem COSMO-SkyMed DInSAR pairs obtained for 2 years and in situ tide height for 11 days measured by a pressure type wave recorder to assess the accuracy of tide models such as TPXO7.1, FES2004, CATS2008a and Ross_Inv in Terra Nova Bay, East Antarctica. Firstly, we compared the double-differential tide height (${\Delta}\dot{T}$) for Campbell Glacier Tongue extracted from the DDInSAR images with that predicted by the tide models. Tide height (T) from in situ measurement was compared to that of the tide models. We also compared 24-hours difference of tide height ($\dot{T}$) from in situ tide height with that from the tide models. The root mean square error (RMSE) of ${\Delta}\dot{T}$, T and $\dot{T}$ decreased after the inverse barometer effect (IBE)-correction of the tide models, from which we confirmed that the IBE of tide models should be corrected requisitely. The RMSE of $\dot{T}$ and ${\Delta}\dot{T}$ were smaller than that of T. This was because $\dot{T}$ is the difference of tide height during temporal baseline of the DInSAR pairs (24 hours), in which the errors from mean sea level of the tide models and in situ tide, and the tide constituents of $S_2$, $K_2$, $K_1$ and $P_1$ used in the tide models were canceled. This confirmed that $\dot{T}$ and ${\Delta}\dot{T}$ predicted by the IBE-corrected tide models can be used in DDInSAR technique. It was difficult to select an optimum tide model for DDInSAR in Terra Nova Bay by using in situ tide height measured in a short period. However, we could confirm that Ross_Inv is the optimum tide model as it showed the smallest RMSE of 4.1 cm by accuracy assessment using the DDInSAR images.

Feasibility of Automated Detection of Inter-fractional Deviation in Patient Positioning Using Structural Similarity Index: Preliminary Results (Structural Similarity Index 인자를 이용한 방사선 분할 조사간 환자 체위 변화의 자동화 검출능 평가: 초기 보고)

  • Youn, Hanbean;Jeon, Hosang;Lee, Jayeong;Lee, Juhye;Nam, Jiho;Park, Dahl;Kim, Wontaek;Ki, Yongkan;Kim, Donghyun
    • Progress in Medical Physics
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    • v.26 no.4
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    • pp.258-266
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    • 2015
  • The modern radiotherapy technique which delivers a large amount of dose to patients asks to confirm the positions of patients or tumors more accurately by using X-ray projection images of high-definition. However, a rapid increase in patient's exposure and image information for CT image acquisition may be additional burden on the patient. In this study, by introducing structural similarity (SSIM) index that can effectively extract the structural information of the image, we analyze the differences between daily acquired x-ray images of a patient to verify the accuracy of patient positioning. First, for simulating a moving target, the spherical computational phantoms changing the sizes and positions were created to acquire projected images. Differences between the images were automatically detected and analyzed by extracting their SSIM values. In addition, as a clinical test, differences between daily acquired x-ray images of a patient for 12 days were detected in the same way. As a result, we confirmed that the SSIM index was changed in the range of 0.85~1 (0.006~1 when a region of interest (ROI) was applied) as the sizes or positions of the phantom changed. The SSIM was more sensitive to the change of the phantom when the ROI was limited to the phantom itself. In the clinical test, the daily change of patient positions was 0.799~0.853 in SSIM values, those well described differences among images. Therefore, we expect that SSIM index can provide an objective and quantitative technique to verify the patient position using simple x-ray images, instead of time and cost intensive three-dimensional x-ray images.

An Experimental Method for the Scatter Correction of MV Images Using Scatter to Primary Ratios (SPRs) (산란선 대 일차선비(SPR)를 이용한 MV 영상의 산란 보정을 위한 실험적 방법)

  • Jeon, Hosang;Park, Dahl;Lee, Jayeong;Nam, Jiho;Kim, Wontaek;Ki, Yongkan;Kim, Donghyun;Lee, Ju Hye;Kim, Dongwon
    • Progress in Medical Physics
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    • v.25 no.3
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    • pp.143-150
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    • 2014
  • In general radiotherapy, mega-voltage (MV) x-ray images are widely used as the unique method to verify radio-therapeutic fields. But, the image quality of MV images is much lower than that of kilo-voltage x-ray images due to scatter interactions. Since 1990s, studies for the scatter correction have performed with digital-based MV imaging systems. In this study, a novel method for the scatter correction is suggested using scatter to primary ratio (SPR), instead of conventional methods such as digital image processing or scatter kernel calculations. We measured two MV images with and without a solid water phantom describing a patient body with given imaging conditions, and calculated un-attenuated ratios. Then, we obtained SPR distributions for the scatter correction. For experimental validation, a line-pair (LP) phantom using several Al bars and a clinical pelvis MV image was used. As the result, scatter signals of the LP phantom image were successfully reduced so that original density distribution of the phantom was restored. Moreover, image contrast values increased after SPR correction at all ROIs of the clinical image. The mean value of increases was 48%. The SPR correction method suggested in this study has high reliability because it is based on actually measured data. Also, this method can be easily adopted in clinics without additional cost. We expected that the SPR correction can be an effective method to improve the quality of MV image guided radiotherapy.