• Title/Summary/Keyword: Adjust function

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Conversion of Recorded Ground Motion to Virtual Ground Motion Compatible to Design Response Spectra (계측 기록의 설계스펙트럼 부합 가상 지진 변환 방법)

  • Ji, Hae Yeon;Choi, Da Seul;Kim, Jung Han
    • Journal of the Earthquake Engineering Society of Korea
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    • v.25 no.1
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    • pp.33-42
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    • 2021
  • The design response spectrum presented in the seismic design standard reflects the characteristics of the tectonic environment at a site. However, since the design response spectrum does not represent the ground motion with a specific earthquake magnitude or distance, input ground motions for response history analysis need to be selected reasonably. It is appropriate to use observed ground motions recorded in Korea for the seismic design. However, recently recorded ground motions in the Gyeongju (2016) or Pohang (2017) earthquakes are not compatible with the design response spectrum. Therefore, it is necessary to convert the recorded ground motion in Korea to a model similar to the design response spectrum. In this study, several approaches to adjust the spectral acceleration level at each period range were tested. These are the intrinsic and scattering attenuation considering the earthquake environment, magnitude, distance change by the green function method, and a rupture propagation direction's directivity effect. Using these variables, the amplification ratio for the representative natural period was regressed. Finally, the optimum condition compatible with the design response spectrum was suggested, and the validation was performed by converting the recorded ground motion.

Optimized Trim and Heeling Adjustment by Using Heuristic Algorithm (휴리스틱 알고리즘을 이용한 트림 및 힐링 각도 조절 최적화)

  • HONG CHUNG You;LEE JIN UK;PARK JE WOONG
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2004.11a
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    • pp.62-67
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    • 2004
  • Many ships in voyage experience weight and buoyancy distribution change by various reasons such as change of sea water density and waves, weather condition, and consumption of fuel, provisions, etc . The weight and buoyancy distribution change can bring the ships out of allowable trim, heeling angle. In these case, the ships should adjust trim and heeling angle by shifting of liquid cargo or ballasting, deballasting of ballast tanks for recovery of initial state or for a stable voyage. But, if the adjustment is performed incorrectly, ship's safety such as longitudinal strength, intact stability, propeller immersion, wide visibility, minimum forward draft cannot be secured correctly. So it is required that the adjustment of trim and heeling angle should be planned not by human operators but by optimization computer algorithm. To make an optimized plan to adjust trim and heeling angle guaranteeing the ship's safety and quickness of process, Uk! combined mechanical analysis and optimization algorithm. The candidate algorithms for the study were heuristic algorithm, meta-heuristic algorithm and uninformed searching algorithm. These are widely used in various kinds of optimization problems. Among them, heuristic algorithm $A^\ast$ was chosen for its optimality. The $A^\ast$ algorithm is then applied for the study. Three core elements of $A^\ast$ Algorithm consists of node, operator, evaluation function were modified and redefined. And we analyzed the $A^\ast$ algorithm by considering cooperation with loading instrument installed in most ships. Finally, the algorithm has been applied to tanker ship's various conditions such as Normal Ballast Condition, Homo Design Condition, Alternate Loading Condition, Also the test results are compared and discussed to confirm the efficiency and the usefulness of the methodology developed the system.

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A Study on the Structure and Terminolgy of Ranking Belt in Joseon Dynasty (조선시대 품대의 구조와 세부 명칭에 관한 연구)

  • Lee, Eun-Joo
    • Journal of the Korean Society of Costume
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    • v.61 no.10
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    • pp.135-150
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    • 2011
  • The ranking belts for Joseon dynasty officials that are based on references and relics are studied in this paper in terms of architecture, detailed names, and structural changes according to different time. Officials' uniforms consist of hats, clothes, belts, and shoes. Among these, the belt is an important sign that represents the wearer's ranking. The ranking belts of the Joseon dynasty which were brought from Ming at the late stage of the Koryo dynasty became classified as the following four classes : Seo-dai(a rhinoceros' horn, 犀帶), Gum-dai(gold, 金帶), Eun-dai(silver, 銀帶), and Heug-gag-dai(black horn, 黑角帶). A ranking belt consists of a basic belt body and a plaque that represents the wearer's rank. A plaque consists of 20 plates: three front-center plates that represent the Sam-tai(三台) constellation, six front-side plates that represent the Namduyug constellation(南斗六星), seven back plates that represent the Big Dipper(北斗七星), left side Bo(輔), right side Pil(弼), and a couple of Tamie at both ends. The architecture of the belt body; the basic frame for ranking belts, shows some differences between the former and the latter periods of the Joseon dynasty. In the former period, the belt had a pair of a buckle so that the wearers were able to adjust the belt size. But later, the belt didn't have the buckles to adjust the belt size and consequently it only performed a locking or unlocking function. Therefore, the belts in the latter period were longer than normal and one size fit all. In addition to the functional change of buckles, the shapes of the ranking belts show changes from the round shape to the square shape as time goes on.

Unsupervised Machine Learning based on Neighborhood Interaction Function for BCI(Brain-Computer Interface) (BCI(Brain-Computer Interface)에 적용 가능한 상호작용함수 기반 자율적 기계학습)

  • Kim, Gui-Jung;Han, Jung-Soo
    • Journal of Digital Convergence
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    • v.13 no.8
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    • pp.289-294
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    • 2015
  • This paper proposes an autonomous machine learning method applicable to the BCI(Brain-Computer Interface) is based on the self-organizing Kohonen method, one of the exemplary method of unsupervised learning. In addition we propose control method of learning region and self machine learning rule using an interactive function. The learning region control and machine learning was used to control the side effects caused by interaction function that is based on the self-organizing Kohonen method. After determining the winner neuron, we decided to adjust the connection weights based on the learning rules, and learning region is gradually decreased as the number of learning is increased by the learning. So we proposed the autonomous machine learning to reach to the network equilibrium state by reducing the flow toward the input to weights of output layer neurons.

An image enhancement Method for extracting multi-license plate region

  • Yun, Jong-Ho;Choi, Myung-Ryul;Lee, Sang-Sun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.6
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    • pp.3188-3207
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    • 2017
  • In this paper, we propose an image enhancement algorithm to improve license plate extraction rate in various environments (Day Street, Night Street, Underground parking lot, etc.). The proposed algorithm is composed of image enhancement algorithm and license plate extraction algorithm. The image enhancement method can improve an image quality of the degraded image, which utilizes a histogram information and overall gray level distribution of an image. The proposed algorithm employs an interpolated probability distribution value (PDV) in order to control a sudden change in image brightness. Probability distribution value can be calculated using cumulative distribution function (CDF) and probability density function (PDF) of the captured image, whose values are achieved by brightness distribution of the captured image. Also, by adjusting the image enhancement factor of each part region based on image pixel information, it provides a function that can adjust the gradation of the image in more details. This processed gray image is converted into a binary image, which fuses narrow breaks and long thin gulfs, eliminates small holes, and fills gaps in the contour by using morphology operations. Then license plate region is detected based on aspect ratio and license plate size of the bound box drawn on connected license plate areas. The images have been captured by using a video camera or a personal image recorder installed in front of the cars. The captured images have included several license plates on multilane roads. Simulation has been executed using OpenCV and MATLAB. The results show that the extraction success rate is more improved than the conventional algorithms.

A Study on a Plan for Adaptation according to the Change of a Bodyguard's Social Cognition (경호직 근무자의 업무능력 증대방안에 관한 고찰)

  • Kim, Chang-Ho
    • Korean Security Journal
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    • no.8
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    • pp.65-83
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    • 2004
  • In modern society, the enterprises or the public organization have devised consistent means and methods with keen competition in high intelligence, high specialization and high competition for surviving in the struggle for existence. In the rapidly changing modern society like that, guard services are not free any more in the simple business. It will be survived only with consistent self-development and various abilities. Recently, it is on a trend that the enterprise including venture business requires the man of ability having many-sided thought, knowledge and capacity. That is, the era of a man with multi-function has come. The guards engaged in their present posts have to make efforts self-development consistently. And they have to work for self-development with theoretical knowledge acquirement about the expert knowledge escaping from simple function and business. The constitution including universities that train the guard should not adjust to the demand of quantitative manpower required in the enterprise organization with the training of the guard with simple functions only. It needs settlement as a curriculum with technology like ideology and knowledge breaking from short curriculum centered on function only in order to come to stay the recognition about guard services as expert services that the industrial society requires. The education centered on simple function should be replaced in the use of a high school, private academy and special guard institution. In addition, it requires a quality as the auxiliary, division, decision-making and spokesman according to the business role. Also, it requires the martial arts capacity, the communicative capacity, the sports or reports capacity, the guard driving capacity, the policy and assistant capacity and the information and analysis capacity, etc in individual. Lastly, it need each guard's change of cognition most of all. As part of the guard's adaptive plan according to the social change, it was enumerated like the mentioned above. It is important for the guard to prepare for the change of era and to build up quality and capacity before anything else.

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A Design and Implementation of OTU4 Framer for l00G Ethernet (100G 이더넷 수용을 위한 OTU4 프레이머 표준기술 설계 및 구현)

  • Youn, Ji-Wook;Kim, Jong-Ho;Shin, Jong-Yoon;Kim, Kwang-Joon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.12B
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    • pp.1601-1610
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    • 2011
  • This paper discusses standardization activities, requirements and enabling technologies for 100G Ethernet and 100G OTN. The need of 100Gbps transport capacity has been gaining greater interest from service providers and carrier vendors. Moreover, optical transport networks based on OTN/DWDM are changing their properties to apply Ethernet traffic which is dramatically increasing. We realize and experimentally demonstrate OTU4 framer with commercial FPGA. The key features of the realized OTU4 framer are parallel signal processing function, multi-lane distribution function, GMP function and FEC function. The realized OTU4 framer has the large signal processing capacity of 120Gbps, which allows to transport about 120Gbps client signals such as $12{\times}10G$ Ethernet and $3{\times}40G$ Ethernet. The realized OTU4 framer has the advantages to quickly adjust to changing markets and new technologies by using commercial FPGA instead of ASIC.

A New Information Index of Axiomatic Design for Robustness (강건성을 고려한 공리적 설계의 새로운 정보 지수)

  • Hwang, Kwang-Hyeon;Park, Gyung-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.10
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    • pp.2073-2081
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    • 2002
  • In product design and manufacturing, axiomatic design provides a systematic approach for the decision-making process. Two axioms have been defined such as the Independence Axiom and the Information Axiom. The Information Axiom states that the best design among those that satisfy the independence axiom is the one with the least information content. In other words, the best design is the one that has the highest probability of success. On the other hand, the Taguchi robust design is used in the two-step process; one is "reduce variability," and the other is "adjust the mean on the target." The two-step can be interpreted as a problem that has two FRs (functional requirements). Therefore, the Taguchi method should be used based on the satisfaction of the Independence Axiom. Common aspects exist between the Taguchi method and Axiomatic Design in that a robust design is induced. However, different characteristics are found as well. The Taguchi method does not have the design range, and the probability of success may not be enough to express robustness. Our purpose is to find the one that has the highest probability of success and the smallest variation. A new index is proposed to satisfy these conditions. The index is defined by multiplication of the robustness weight function and the probability density function. The robustness weight function has the maximum at the target value and zero at the boundary of the design range. The validity of the index is proved through various examples.gh various examples.

Performance Improvement of Backpropagation Algorithm by Automatic Tuning of Learning Rate using Fuzzy Logic System

  • Jung, Kyung-Kwon;Lim, Joong-Kyu;Chung, Sung-Boo;Eom, Ki-Hwan
    • Journal of information and communication convergence engineering
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    • v.1 no.3
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    • pp.157-162
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    • 2003
  • We propose a learning method for improving the performance of the backpropagation algorithm. The proposed method is using a fuzzy logic system for automatic tuning of the learning rate of each weight. Instead of choosing a fixed learning rate, the fuzzy logic system is used to dynamically adjust the learning rate. The inputs of fuzzy logic system are delta and delta bar, and the output of fuzzy logic system is the learning rate. In order to verify the effectiveness of the proposed method, we performed simulations on the XOR problem, character classification, and function approximation. The results show that the proposed method considerably improves the performance compared to the general backpropagation, the backpropagation with momentum, and the Jacobs'delta-bar-delta algorithm.

Power Loss Calculation of High Frequency Transformers

  • Choi Geun-Soo;Yoon Shin-Yong;Baek Soo-Hyun;Kim Yong
    • Journal of Electrical Engineering and Technology
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    • v.1 no.3
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    • pp.338-342
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    • 2006
  • This paper analyzed the power loss of transformers considering the magnetic component. For this, each winding strategy and the effect of air gap between the ferrite core have been an important variable for optimal parameter calculation. Inductors are very well known design rules to devise, but the performance of the flyback converter as a function of transformer winding strategy has not been fully developed. The transformer analysis tool used was PExpert. The influence of the insulator thickness, effect of the air gap, how the window height and variation of the capacitive value effects the coil and insulator materials are some of parameters that have been analyzed in this work. The parameter analysis is calculated to a high frequency of 48[kHz]. Therefore, the final goal of this paper was to calculate and adjust the parameters according to the method of winding array and air gap minimizing the power loss.