• Title/Summary/Keyword: Dynamic update

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Improvement of the Prediction of Natural Frequencies Of Composite Laminated Plate Using Parametric Identification (변수 식별을 통한 복합재의 적층판의 고유진동수 예측 개선)

  • 홍단비;유정규;김승조
    • Composites Research
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    • v.12 no.1
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    • pp.1-10
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    • 1999
  • In order to predict the dynamic behavior of composite laminated plate accurately, the parametric identification is performed using its mechanical properties- $E_1,\;E_2,\;V_{12},\;G_{12}$ as design parameters. After natural frequencies are measured through simple vibration test, the objective function consists of the sum of errors between experimental and numerical frequencies of a structure. As optimization algorithm, conjugate gradient method is used to minimize the objective function. Sensitivity Analysis is performed to update design parameters during this process and can explain the result of parametric identification. In order to check the propriety of result, mode shapes are compared before and after identification. The improved prediction of natural frequencies of composite laminated plate is obtained with updated properties. For the application of result, updated properties is applied to the composite laminated plate that has different stacking sequence.

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A Study on Dynamic Key Management in Mixed-Mode Wireless LAN (혼합모드 무선랜에서의 동적 키 관리 방식 연구)

  • 강유성;오경희;정병호;정교일;양대헌
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.4C
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    • pp.581-593
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    • 2004
  • The interest in wireless LAN security is on the increase owing to a role of high-speed wireless Internet infrastructure of wireless LAN. Wi-Fi has released WPA standard in order to overcome drawbacks of WEP algorithm that is security element of current IEEE 802.11-based wireless LAN system. Pairwise key management and group key management in a mixed-mode which supports both terminals running WPA and terminals running original WEP security are very complicate. In this paper, we analyze flaws in WPA authenticator key management state machine for key distribution and propose the countermeasures to overcome the analyzed problems. Additionally, WPA authenticator key management state machine to which the solutions are applied is described. The reconstructed WPA authenticator key management state machine helps the AP perform efficiently group key exchange and group key update in the mixed-mode.

A QoS DAG-based QoS Routing Scheme for Mobile Ad-hoc Networks (무선 Ad-hoc 네트워크를 위한 QoS DAG 기반의 QoS 라우팅 기법)

  • Kang, Yong-Hyeog;Kim, Hyun-Ho;Kim, Jung-Hee;Eom, Young-Ik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.10A
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    • pp.736-745
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    • 2009
  • The growth of mobile devices and the increase of using them have required the support of realtime multimedia application in wireless environments. Especially, wireless ad-hoc networks without central management system and with dynamically changing network topology need much researches of QoS routing for multimedia applications. However it is impossible to support the hard realtime QoS for these dynamic networks. In this paper, we propose a QoS routing scheme by using QoS DAG that is maintained by each mobile node and contains the QoS information for neighbor nodes. In order to maintain the QoS DAG, each node transmits its QoS information to neighbor nodes by local broadcasting, and the neighbor nodes update their QoS DAGs by the received message. In our proposed scheme, it is possible to search the QoS path efficiently by the QoS DAG without searching it in the whole network.

Analysis on Update Performance of XML Data by the Labeling Method (Labeling 방식에 따른 XML 데이터의 갱신 성능 분석)

  • Jung Min-Ok;Nam Dong-Sun;Han Jung-Yeob;Park Jong-Hyen;Kang Ji-Hoon
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07b
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    • pp.106-108
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    • 2005
  • XML is situating a standard fur data exchange in the Web. Most applications use database to manage XML documents of high-capacity efficiently. Therefore, most applications create label that expresses structure information of XML data and stores with information of XML document. A number of labeling schemes have been designed to label the element nodes such that the relationships between nodes can be easily determined by comparing their labels. With the increased popularity of XML data on the web, finding a labeling scheme that is able to support order-sensitive queries in the presence of dynamic updates becomes urgent. XML documents that most applications use have many properties as their application. So, in the thesis, we present the most efficient updating methods dependent on properties of XML documents in practical application by choosing a representative labeling method and applying these properties. The result of our test is based on XML data management system, so it expect not only used directly in practical application, but a standard to select the most proper methods for environment of application to develop a new exclusive XML database or use XML.

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Selectivity Estimation Using Compressed Spatial Histogram (압축된 공간 히스토그램을 이용한 선택율 추정 기법)

  • Chi, Jeong-Hee;Lee, Jin-Yul;Kim, Sang-Ho;Ryu, Keun-Ho
    • The KIPS Transactions:PartD
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    • v.11D no.2
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    • pp.281-292
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    • 2004
  • Selectivity estimation for spatial query is very important process used in finding the most efficient execution plan. Many works have been performed to estimate accurate selectivity. Although they deal with some problems such as false-count, multi-count, they can not get such effects in little memory space. Therefore, we propose a new technique called MW Histogram which is able to compress summary data and get reasonable results and has a flexible structure to react dynamic update. Our method is based on two techniques : (a) MinSkew partitioning algorithm which deal with skewed spatial datasets efficiently (b) Wavelet transformation which compression effect is proven. The experimental results showed that the MW Histogram which the buckets and wavelet coefficients ratio is 0.3 is lower relative error than MinSkew Histogram about 5%-20% queries, demonstrates that MW histogram gets a good selectivity in little memory.

Precise-Optimal Frame Length Based Collision Reduction Schemes for Frame Slotted Aloha RFID Systems

  • Dhakal, Sunil;Shin, Seokjoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.1
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    • pp.165-182
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    • 2014
  • An RFID systems employ efficient Anti-Collision Algorithms (ACAs) to enhance the performance in various applications. The EPC-Global G2 RFID system utilizes Frame Slotted Aloha (FSA) as its ACA. One of the common approaches used to maximize the system performance (tag identification efficiency) of FSA-based RFID systems involves finding the optimal value of the frame length relative to the contending population size of the RFID tags. Several analytical models for finding the optimal frame length have been developed; however, they are not perfectly optimized because they lack precise characterization for the timing details of the underlying ACA. In this paper, we investigate this promising direction by precisely characterizing the timing details of the EPC-Global G2 protocol and use it to derive a precise-optimal frame length model. The main objective of the model is to determine the optimal frame length value for the estimated number of tags that maximizes the performance of an RFID system. However, because precise estimation of the contending tags is difficult, we utilize a parametric-heuristic approach to maximize the system performance and propose two simple schemes based on the obtained optimal frame length-namely, Improved Dynamic-Frame Slotted Aloha (ID-FSA) and Exponential Random Partitioning-Frame Slotted Aloha (ERP-FSA). The ID-FSA scheme is based on the tag set estimation and frame size update mechanisms, whereas the ERP-FSA scheme adjusts the contending tag population in such a way that the applied frame size becomes optimal. The results of simulations conducted indicate that the ID-FSA scheme performs better than several well-known schemes in various conditions, while the ERP-FSA scheme performs well when the frame size is small.

An Efficient Revocable Group Signature Scheme in Vehicular Ad Hoc Networks

  • Zhao, Zhen;Chen, Jie;Zhang, Yueyu;Dang, Lanjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.10
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    • pp.4250-4267
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    • 2015
  • Although many revocable group signature schemes has been proposed in vehicular ad hoc networks (VANETs), the existing schemes suffer from long computation delay on revocation that they cannot adapt to the dynamic VANETs. Based on Chinese remainder theorem and Schnorr signature algorithm, this paper proposes an efficient revocable group signature scheme in VANETs. In the proposed scheme, it only need to update the corresponding group public key when a member quits the group, and in the meanwhile the key pairs of unchanged group members are not influenced. Furthermore, this scheme can achieve privacy protection by making use of blind certificates. Before joining to the VANETs, users register at local trusted agencies (LTAs) with their ID cards to obtain blind certificates. The blind certificate will be submitted to road-side units (RSUs) to verify the legality of users. Thus, the real identities of users can be protected. In addition, if there is a dispute, users can combine to submit open applications to RSUs against a disputed member. And LTAs can determine the real identity of the disputed member. Moreover, since the key pairs employed by a user are different in different groups, attackers are not able to track the movement of users with the obtained public keys in a group. Furthermore, performance analysis shows that proposed scheme has less computation cost than existing schemes.

ASSESSMENT OF CFD CODES USED IN NUCLEAR REACTOR SAFETY SIMULATIONS

  • Smith, Brian L.
    • Nuclear Engineering and Technology
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    • v.42 no.4
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    • pp.339-364
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    • 2010
  • Following a joint OECD/NEA-IAEA-sponsored meeting to define the current role and future perspectives of the application of Computational Fluid Dynamics (CFD) to nuclear reactor safety problems, three Writing Groups were created, under the auspices of the NEA working group WGAMA, to produce state-of-the-art reports on different aspects of the subject. The work of the second group, WG2, was to document the existing assessment databases for CFD simulation in the context of Nuclear Reactor Safety (NRS) analysis, to gain a measure of the degree of quality and trust in CFD as a numerical analysis tool, and to take initiatives to extend the existing databases. The group worked over the period of 2003-2007 and produced a final state-of-the-art report. The present paper summarises the material gathered during the study, illustrating the points with a few highlights. A total of 22 safety issues were identified for which the application of CFD was considered to potentially bring real benefits in terms of better understanding and increased safety. A list of the existing databases was drawn up and synthesised, both from the nuclear area and from other parallel, non-nuclear, industrial activities. The gaps in the technology base were also identified and discussed. In order to initiate new ways of bringing experimentalists and numerical analysts together, an international workshop -- CFD4NRS (the first in a series) -- was organised, a new blind benchmark activity was set up based on turbulent mixing in T-junctions, and a Wiki-type web portal was created to offer online access to the material put together by the group giving the reader the opportunity to update and extend the contents to keep the information source topical and dynamic.

Avulsion injuries: an update on radiologic findings

  • Choi, Changwon;Lee, Sun Joo;Choo, Hye Jung;Lee, In Sook;Kim, Sung Kwan
    • Journal of Yeungnam Medical Science
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    • v.38 no.4
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    • pp.289-307
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    • 2021
  • Avulsion injuries result from the application of a tensile force to a musculoskeletal unit or ligament. Although injuries tend to occur more commonly in skeletally immature populations due to the weakness of their apophysis, adults may also be subject to avulsion fractures, particularly those with osteoporotic bones. The most common sites of avulsion injuries in adolescents and children are apophyses of the pelvis and knee. In adults, avulsion injuries commonly occur within the tendon due to underlying degeneration or tendinosis. However, any location can be involved in avulsion injuries. Radiography is the first imaging modality to diagnose avulsion injury, although advanced imaging modalities are occasionally required to identify subtle lesions or to fully delineate the extent of the injury. Ultrasonography has a high spatial resolution with a dynamic assessment potential and allows the comparison of a bone avulsion with the opposite side. Computed tomography is more sensitive for depicting a tiny osseous fragment located adjacent to the expected attachment site of a ligament, tendon, or capsule. Moreover, magnetic resonance imaging is the best imaging modality for the evaluation of soft tissue abnormalities, especially the affected muscles, tendons, and ligaments. Acute avulsion injuries usually manifest as avulsed bone fragments. In contrast, chronic injuries can easily mimic other disease processes, such as infections or neoplasms. Therefore, recognizing the vulnerable sites and characteristic imaging features of avulsion fractures would be helpful in ensuring accurate diagnosis and appropriate patient management. To this end, familiarity with musculoskeletal anatomy and mechanism of injury is necessary.

Finite Element Model Updating of Structures Using Deep Neural Network (깊은 신경망을 이용한 구조물의 유한요소모델 업데이팅)

  • Gong, Ming;Park, Wonsuk
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.1
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    • pp.147-154
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    • 2019
  • The finite element model updating can be defined as the problem of finding the parameters of the finite element model which gives the closest response to the actual response of the structure by measurement. In the previous researches, optimization based methods have been developed to minimize the error of the response of the actual structure and the analytical model. In this study, we propose an inverse eigenvalue problem that can directly obtain the parameters of the finite element model from the target mode information. Deep Neural Networks are constructed to solve the inverse eigenvalue problem quickly and accurately. As an application example of the developed method, the dynamic finite element model update of a suspension bridge is presented in which the deep neural network simulating the inverse eigenvalue function is utilized. The analysis results show that the proposed method can find the finite element model parameters corresponding to the target modes with very high accuracy.