• Title/Summary/Keyword: set-back

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A scheme for the call procedure in the HSS breakdown

  • Cho, Sehyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.301-302
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    • 2013
  • LTE is the outstanding technology to transfer the data and voice. LTE consists of several nodes to transfer data. In case of the failure in the node of LTE, it could not support the service. So telecommunication-providers set up the back-up system for the simultaneous service-provision. But there is still the problem it comes to the network. Even though there is a back-up system, it would be useless the network is down. We propose the scheme to support the service in the case of this network problem in the LTE network. This scheme reduces 23% load in the LTE network in the case of the HSS node's failure or the network to the HSS nodes.

A study Note on the Production Process of the Year-end Special Documentary on the Inter-Korean Summit of KTV

  • Hakjae, Lee
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.228-229
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    • 2022
  • This paper is about KTV special documentary "Baekdu to Halla, It's Peace Now" which looks back on the journey of President Moon Jae-in to the 3rd inter-Korean summit following former Presidents Kim Dae-jung and Roh Moo-hyun, following the 2018 inter-Korean summit held under the slogan of 'Peace and a New Future'. The documentary was produced in the form of a road documentary that looked back at the meaningful results of the summit meeting with the MC through related places and various people, narrated by singer Kang San-Ae. Based on this case, the difference between the development of road documentaries and general informational documentaries about the existing production process is identified, and the differences between the production format, production characteristics, and development method of road documentaries are described. I would like to present an example of how it can be desirable to set the format of the road documentary according to the production environment of broadcasting companies and planning factors.

A Smart Set-Pruning Trie for Packet Classification (패킷 분류를 위한 스마트 셋-프루닝 트라이)

  • Min, Seh-Won;Lee, Na-Ra;Lim, Hye-Sook
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.11B
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    • pp.1285-1296
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    • 2011
  • Packet classification is one of the basic and important functions of the Internet routers, and it became more important along with new emerging application programs requiring real-time transmission. Since packet classification should be accomplished in line-speed on each incoming input packet for multiple header fields, it becomes one of the challenges in designing Internet routers. Various packet classification algorithms have been proposed to provide the high-speed packet classification. Hierarchical approach achieves effective packet classification performance by significantly narrowing down the search space whenever a field lookup is completed. However, hierarchical approach involves back-tracking problem. In order to solve the problem, set-pruning trie and grid-of-trie algorithms are proposed. However, the algorithm either causes excessive node duplication or heavy pre-computation. In this paper, we propose a smart set-pruning trie which reduces the number of node duplication in the set-pruning trie by the simple merging of the lower-level tries. Simulation result shows that the proposed trie has the reduced number of copied nodes by 2-8% compared with the set-pruning trie.

Effect of Walking Exercise with Functional Shoes on Chronic Low Back Pain (기능성 신발을 활용한 보행운동이 만성 요통에 미치는 효과)

  • Ku, Ji-Young;Lee, Seung-Hwon;Kwon, Gi-Sun;Cho, Sung-Woo;Youn, Hyoun-Min;Jang, Kyung-Jeon;Song, Choon-Ho;Kim, Cheol-Hong;Hong, Sang-Hoon
    • Journal of Acupuncture Research
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    • v.28 no.3
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    • pp.73-84
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    • 2011
  • Objectives : The purpose of this study is to evaluate the effect of 12 weeks-walking exercise with functional shoes on chronic low back pain. Methods : The subjects of this study were 18 females from thirty to sixty years old who had suffered from low back pain over 12 weeks. They wore S shoes with curved out-sole and soft material in arch of foot We asked them to walk wearing shoes for 1 hour a day over 4 days a week for 12 weeks. Improvement of the symptoms was evaluated by pain rating scale, Oswestry low-back pain disability index. We measured lumbar lordotic angle, Ferguson's angle, bone mineral density, body composition. The measurements were checked before and after exercise. Results : This study showed significant improvement in pain rating scale, oswestry low-back pain disability index, and body composition. And lumbar lordotic angle, Ferguson's angle and bone mineral density decreased. Conclusions : These results showed that walking exercise with functional shoes could decrease the symptoms of chronic low back pain. But, it's too difficult to conclude whether the efficacy was due to functional shoes or walking exercise because we didn't set the control group wearing general shoes.

Parameter Optimization and Automation of the FLEXPART Lagrangian Particle Dispersion Model for Atmospheric Back-trajectory Analysis (공기괴 역궤적 분석을 위한 FLEXPART Lagrangian Particle Dispersion 모델의 최적화 및 자동화)

  • Kim, Jooil;Park, Sunyoung;Park, Mi-Kyung;Li, Shanlan;Kim, Jae-Yeon;Jo, Chun Ok;Kim, Ji-Yoon;Kim, Kyung-Ryul
    • Atmosphere
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    • v.23 no.1
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    • pp.93-102
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    • 2013
  • Atmospheric transport pathway of an air mass is an important constraint controlling the chemical properties of the air mass observed at a designated location. Such information could be utilized for understanding observed temporal variabilities in atmospheric concentrations of long-lived chemical compounds, of which sinks and/or sources are related particularly with natural and/or anthropogenic processes in the surface, and as well as for performing inversions to constrain the fluxes of such compounds. The Lagrangian particle dispersion model FLEXPART provides a useful tool for estimating detailed particle dispersion during atmospheric transport, a significant improvement over traditional "single-line" trajectory models that have been widely used. However, those without a modeling background seeking to create simple back-trajectory maps may find it challenging to optimize FLEXPART for their needs. In this study, we explain how to set up, operate, and optimize FLEXPART for back-trajectory analysis, and also provide automatization programs based on the open-source R language. Discussions include setting up an "AVAILABLE" file (directory of input meteorological fields stored on the computer), creating C-shell scripts for initiating FLEXPART runs and storing the output in directories designated by date, as wells as processing the FLEXPART output to create figures for a back-trajectory "footprint" (potential emission sensitivity within the boundary layer). Step by step instructions are explained for an example case of calculating back trajectories derived for Anmyeon-do, Korea for January 2011. One application is also demonstrated in interpreting observed variabilities in atmospheric $CO_2$ concentration at Anmyeon-do during this period. Back-trajectory modeling information introduced in this study should facilitate the creation and automation of most common back-trajectory calculation needs in atmospheric research.

Application of Artificial Neural Networks for Prediction of the Unconfined Compressive Strength (UCS) of Sedimentary Rocks in Daegu (대구지역 퇴적암의 일축압축강도 예측을 위한 인공신경망 적용)

  • Yim Sung-Bin;Kim Gyo-Won;Seo Yong-Seok
    • The Journal of Engineering Geology
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    • v.15 no.1
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    • pp.67-76
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    • 2005
  • This paper presents the application of a neural network for prediction of the unconfined compressive strength from physical properties and schmidt hardness number on rock samples. To investigate the suitability of this approach, the results of analysis using a neural network are compared to predictions obtained by statistical relations. The data sets containing 55 rock sample records which are composed of sandstone and shale were assembled in Daegu area. They were used to learn the neural network model with the back-propagation teaming algorithm. The rock characteristics as the teaming input of the neural network are: schmidt hardness number, specific gravity, absorption, porosity, p-wave velocity and S-wave velocity, while the corresponding unconfined compressive strength value functions as the teaming output of the neural network. A data set containing 45 test results was used to train the networks with the back-propagation teaming algorithm. Another data set of 10 test results was used to validate the generalization and prediction capabilities of the neural network.

Development of Jacket Pattern for Muscular Men (근육형 남성용 재킷 패턴설계)

  • Jeong, Hye-Jin;Kim, So-Ra
    • Journal of Fashion Business
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    • v.13 no.4
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    • pp.137-153
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    • 2009
  • Recently, young men have become more muscular as they become more interested in physical figure. However, most of these muscular men have fit problems regarding ready-made clothes. In view of this, this study aimed to develop a prototype jacket pattern for muscular men. For this study, five muscular men were selected to put on existing jacket pattern for wearing tests. The regression formula, in which muscular men body measures were adopted, was applied to unsuitable parts, especially the areas determined not to be appropriate in the evaluation of existing jacket pattern wearing tests. After the first and the second jacket pattern wearing tests, the final jacket pattern suitable for muscular men was developed. The results of the study were as follows: In order to make up for the problem of the loosening of the lapel area, due to the development of the chest muscle, the chest circumference line on the chest area of the pattern was cut to be 1.0cm wide; thus, the front length was modified with an increase. The wearing tests found that a wearers felt discomfort from the tight armhole area, so the armhole depth was set to be a little lower than that of ready-made clothes. A muscular men needs much more extra quantity in this area because the upper part of the back side is projected due to the greater development of the trapezius muscle and the deltoid than in average men. Hence, concerning the standard line for the length of the back interscye, ease of 1.0cm was added to the regression equation formula {(0.371${\times}$chest circumference+3.145)/2} in order to resolve the discomfort with the back area. Also, for the biacromion length, the upper arm protruded more than the shoulder point of the jacket because of the development of the deltoid and the upper arm muscle, and it was set to be wider than the actual shoulder. In order to solve the problem of discomfort from the narrow neck area during the wearing of a jacket owing to the development of the trapezius muscle, extra ease of 0.5cm was added to chest circumference/12-0.5cm in the existing jacket prototype to the width of back of the neck, and it was corrected to be chest circumference/12.

Tunnel-lining Back Analysis Based on Artificial Neural Network for Characterizing Seepage and Rock Mass Load (투수 및 이완하중 파악을 위한 터널 라이닝의 인공신경망 역해석)

  • Kong, Jung-Sik;Choi, Joon-Woo;Park, Hyun-Il;Nam, Seok-Woo;Lee, In-Mo
    • Journal of the Korean Geotechnical Society
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    • v.22 no.8
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    • pp.107-118
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    • 2006
  • Among a variety of influencing components, time-variant seepage and long-term underground motion are important to understand the abnormal behavior of tunnels. Excessiveness of these two components could be the direct cause of severe damage on tunnels, however, it is not easy to quantify the effect of these on the behavior of tunnels. These parameters can be estimated by using inverse methods once the appropriate relationship between inputs and results is clarified. Various inverse methods or parameter estimation techniques such as artificial neural network and least square method can be used depending on the characteristics of given problems. Numerical analyses, experiments, or monitoring results are frequently used to prepare a set of inputs and results to establish the back analysis models. In this study, a back analysis method has been developed to estimate geotechnically hard-to-known parameters such as permeability of tunnel filter, underground water table, long-term rock mass load, size of damaged zone associated with seepage and long-term underground motion. The artificial neural network technique is adopted and the numerical models developed in the first part are used to prepare a set of data for learning process. Tunnel behavior, especially the displacements of the lining, has been exclusively investigated for the back analysis.

Plasto-plastic Finite Element Analysis for the Parametric Process Design of the Tension Leveller(2) -Full Set Analysis (금속인장교정기의 공정변수 설계를 위한 탄소성 유한요소해석 (2)-전체공정 해석)

  • Lee, H.W.;Huh, H.;Park, S.R.
    • Transactions of Materials Processing
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    • v.11 no.2
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    • pp.147-154
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    • 2002
  • The tension levelling Process is Performed to elongate the strip plastically In combination of tensile and bending strain so that all longitudinal fibers In the strip have an approximately equal amount ofn length and undesirable strip shapes are corrected to the flat shape. Thus paper is concerned with a simulation of the tension levelling process based on the analysis of tile unit model for the tension leveller. Analysis technique such as the sequential analysis of the unit model is suggested and verified with the assembly analysis of the unit model for the effective arts economic analysis of the full set of the tension leveller. Analysis of the full tension levelling Process using sequential unit models Is carried out for steel strips with the shape defect and provides the effect of the intermesh and optimum amount of the intermesh in tension levelling process.

Throughput Based Study of UWB Receiver Modem Parameters

  • Choi, Byoung-Jo
    • Journal of information and communication convergence engineering
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    • v.6 no.2
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    • pp.158-163
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    • 2008
  • The MB-OFDM based UWB communication system is a personal area network specification aiming to provide 480Mbps peak data rate over 528 MHz spectrum. As the corresponding baseband modem operates at high clock rate, its complexity should be optimized for low power consumption. A set of modem design parameters is suggested including the AD bit width, the clipping level and the quantization level at the Viterbi decoder input as well as the trace-back depth of the Viterbi decoder. The data throughput is used to evaluate the performance of the receiver and a recommended set of design parameter values is presented to aid efficient modem implementation.