• Title/Summary/Keyword: Multi-dividing

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A Development Of Multi-sensor System For Location Determination Of Fixed-path Movement Attractions (고정경로 이동 어트랙션의 위치 판단을 위한 다중 센서 시스템의 개발)

  • You, Eun-Jae;Jeong, Hwi-Sang;Lee, Hyoun-Sup;Kim, Jin-deog
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.5
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    • pp.709-714
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    • 2018
  • Visual Reality technology is becoming more and more interesting as it attracts people's interest. VR technology is used in various markets such as games, animation, and education. However, there were many people experiencing motion sickness such as dizziness and headache due to the delay time between hardware such as a device for sending a video after experiencing a VR image and an HMD for reproducing an image. The system proposed in this paper focuses on the environment rather than the movement of the attraction and detects the dividing line existing on the path by the proximity sensor and accurately calculates the position on the path according to the user 's motion. Since the position of the user is synchronized with the VR image, the position error of the user is improved to 0.2%.

A Study on the Optimum Amount of Contrast Media in Brain Angiography (뇌 혈관검사 시 적정 조영제량에 관한 연구)

  • Kim, Gyoo-Hyung;Lee, Sang-Ho
    • Journal of radiological science and technology
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    • v.41 no.2
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    • pp.123-128
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    • 2018
  • Recently, the use of contrast agents has been increasing as a broader range of tests and dynamic tests have become common due to the development of equipment and imaging techniques such as Multi-Detector CT. However, the side effects of using contrast agents have been reduced by the development of non-ionic contrast agents, but they are still occurring often. The purpose of this study was to propose a method to minimize the side effect of contrast agent by using the amount of contrast agent injected to the brain angiography test to suppress excessive use of contrast agent and analyze the amount of contrast agent. Patients who were prescribed Brain Angiography due to cerebrovascular disease, According to the results of the comparison of the results obtained by dividing into 4 groups of 10ml each according to the amount of contrast medium injected with contrast agent according to the BMI of the patient, BA and SNR were not different between groups, and even if the amount of contrast injection was reduced, there was no problem in the evaluation of CT angiography through 3D reconstruction. This result shows that even if the contrast medium is injected into the blood vessels of the patient first and then the contrast medium is used as the physiological saline solution, the contrast medium is reduced by 40% it can be expected to minimize.

An Analysis of the Influence Factors of Satisfaction of Food Bank Service Users (Focusing on Users in Gyeonggi-do Province) (푸드뱅크 서비스 이용자의 만족도 영향요인 (경기지역 이용자를 중심으로))

  • Lee, Seok-Hwan;Kwon, Jin
    • The Journal of the Korea Contents Association
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    • v.20 no.8
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    • pp.547-558
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    • 2020
  • The purpose of this study was to derive the impact factors through multi-return analysis by dividing the satisfaction level of the users of the Food Bank into service satisfaction, food satisfaction, and facility and environment satisfaction and then present a plan for improving service quality. As a result, first of all, the analysis shows that the service satisfaction was not statistically significant. Second, the satisfaction level of food was higher when they get cooked food and when the frequency of support was low. It can be interpreted as important to users to properly solve the problem of fasting through cooked food rather than the frequency of food provision. Third, the satisfaction level of the facility and environment was higher for those with higher educational background, lower monthly income, and higher food expenditure after the support. Users with high educational background value information, service hours, facilities and environment hygiene, and users with low monthly income and high food expenditure even after receiving support can infer the need for food bank services to solve the problem of fasting. Based on these findings, it emphasized the need to develop user-centered services so that the problem of fasting could be effectively resolved in consideration of the conditions of service users.

Optimization of the Distribution Plan and Multi-product Capacity using Genetic Algorithm (유전 알고리즘을 이용한 다 제품 생산용량 및 분배계획 최적화)

  • Cha, Youngcheol;Lee, Gapsoo;Lee, Jonghwan;Wie, Do-Yeong
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.125-134
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    • 2014
  • Supply Chain Management(SCM) is getting important, because size of the company is getting bigger and the kinds of product are various. In the case of manufacturing corporation, for the optimization of SCM, we have to make production and distribution plan by considering the various fluctuation in the aspect of integration. In this paper, first, It proposed the reasonable operational way of the SCM about when the customer's demanding is various and demanding expectation fluctuates in capacity standardization of producer stage. Second, the paper proposed the management way for demanding by considering confirmed demanding information, related inventory expense and demanding shortage expense when we make production and distribution plan. The paper applied the genetic algorithm proved for current usefulness. it proposed the optimal operational way for SCM by dividing into 2 ways for dealing with the duration of confirmed demanding information and various fluctuation.

Design of Optimized Pattern Recognizer by Means of Fuzzy Neural Networks Based on Individual Input Space (개별 입력 공간 기반 퍼지 뉴럴 네트워크에 의한 최적화된 패턴 인식기 설계)

  • Park, Keon-Jun;Kim, Yong-Kab;Kim, Byun-Gon;Hoang, Geun-Chang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.2
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    • pp.181-189
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    • 2013
  • In this paper, we introduce the fuzzy neural network based on the individual input space to design the pattern recognizer. The proposed networks configure the network by individually dividing each input space. The premise part of the networks is independently composed of the fuzzy partition of individual input spaces and the consequence part of the networks is represented by polynomial functions. The learning of fuzzy neural networks is realized by adjusting connection weights of the neurons in the consequent part of the fuzzy rules and it follows a back-propagation algorithm. In addition, in order to optimize the parameters of the proposed network, we use real-coded genetic algorithms. Finally, we design the optimized pattern recognizer using the experimental data for pattern recognition.

Investigation of Safety and Health Education Improvement in Construction Sites using Delphi Technique and Workers' Survey (근로자 예비 설문과 델파이기법을 활용한 건설현장 안전보건교육 개선 방향 분석)

  • Bong, Jin Kyun;Won, Jeong Hun
    • Journal of the Korean Society of Safety
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    • v.33 no.1
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    • pp.88-94
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    • 2018
  • The improvement of safety and health education method in construction site was investigated through the survey for workers and delphi technique. The results of preliminary survey done for workers were analyzed using the multi variance analyses, and the questionnaires for delphi survey were composed based on the results of preliminary survey. Finally, the participatory safety and health education method was suggested. The result showed that most of workers were very interested in accident prevention and health. On the contrary, they did not actively participate in safety activities in sites including safety and health education. In order to improve workers' levels of safety consciousness and prevent the construction accident, the participatory safety and health education method that construction workers directly examine and give presentations about accident causes and measures was suggested and verified by tests. One-way instructor-led safety and health education used widely and participatory safety and health education with workers were carried out by dividing participants into two groups. After education, the examination is done for two groups. The test results found that the average score of safety consciousness of the worker group that received participatory safety education was higher than that of the work group that received instructor-led safety education. And the Delphi technique utilizing experts was analyzed that participatory safety education has a great effect on improvement of workers' level of safety consciousness.

A study of comparative of evacuation time by platform type according to the propagation speed of smoke in subway platform fire (지하철 승강장 화재시 연기의 전파속도에 따른 승강장 형태별 피난시간 비교·분석 연구)

  • Kim, Jin-Su;Rie, Dong-Ho
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.19 no.4
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    • pp.577-588
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    • 2017
  • There are many constraints, both economically and ethically that experimenting human evacuation behavior in situations such as fire. Therefore, the evacuation behavior is simulated based on the existing studies. In recent years, the foundation has been established as computer performance advances, models closer to reality can be studied. In this study, the evacuation time in the subway platform was analyzed from modeling human behavior and smoke propagation in a fire. The evacuation efficiency was also examined by dividing the shape of the subway station platform by the stair position and comparing the evacuation times for each platform. As a result, it was found that the side platform was longer than the island platform by 36.82% more time to evacuation. The shape of the stairs is most advantageous in terms of evacuation form side type platform was 210 seconds and island type platform was 186 seconds, when a fire occurs in the center of the platform. And most favorable in location of evacuation stairs were located at 2/5 point and 4/5 from depending on the step location.

Analysis of Heat Transfer Performance of a Gas Cooler of CO2 Heat Pump for Water Heating (온수제조용 CO2 히트펌프의 가스쿨러 열전달 성능 해석)

  • Kwon, Jeong-Tae;Lee, Chang-Kyung;Baek, Dong-Seok;Kwon, Young-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.11
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    • pp.5317-5322
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    • 2013
  • This study presents a prediction method for heat transfer performance of a gas cooler of $CO_2$ heat pump using ${\epsilon}$-NTU method, and compared the results with the experimental data from the open literature. The heat transfer rate, refrigerant side outlet temperature and water side outlet temperature were calculated by using EES(Engineering Equation Solver)program in multi-tube-in-tube type $CO_2$ heat pump gas cooler. Analysis was performed in two methods : The first method performed without dividing into the test section by applying an analysis of the mean properties(mean analysis). The second method, tube length divided into 50 sections, was applied to the local properties(local analysis). From the present study, a good agreement at the local analysis was obtained between the analytical and experimental results by 0.3~1.1%, 1.31~1.88% and 3.12~5.18% for heat transfer rate, water and refrigerant side outlet temperatures, respectively.

Image based Shading Techniques for Surfaces with Irregular and Complex Textures Formed by Heterogeneous Materials (이종물질에 의해 복잡한 불규칙 무늬가 형성된 물체 표면의 영상 기반 셰이딩 기법)

  • Lee, Joo-Rim;Nam, Yang-Hee
    • The Journal of the Korea Contents Association
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    • v.10 no.1
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    • pp.1-9
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    • 2010
  • In this paper we present a shading technique for realistic rendering of the surfaces with irregular and complex textures using a single photograph. So far, most works have been using many photographs or special photographing equipment to render the surfaces with irregular and complex textures as well as dividing texture regions manually. We present an automatic selection method of the region segmentation techniques according to properties of materials. As our technique produces a reflectance model and the approximated Bidirectional Reflection Distribution Function(BRDF) parameters, it allows the recovery of the photometric properties of diffuse, specular, isotropic or anisotropic textured objects. Also it make it possible to present several synthetic images with novel lighting conditions and views.

Depth Map Pre-processing using Gaussian Mixture Model and Mean Shift Filter (혼합 가우시안 모델과 민쉬프트 필터를 이용한 깊이 맵 부호화 전처리 기법)

  • Park, Sung-Hee;Yoo, Ji-Sang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.5
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    • pp.1155-1163
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    • 2011
  • In this paper, we propose a new pre-processing algorithm applied to depth map to improve the coding efficiency. Now, 3DV/FTV group in the MPEG is working for standard of 3DVC(3D video coding), but compression method for depth map images are not confirmed yet. In the proposed algorithm, after dividing the histogram distribution of a given depth map by EM clustering method based on GMM, we classify the depth map into several layered images. Then, we apply different mean shift filter to each classified image according to the existence of background or foreground in it. In other words, we try to maximize the coding efficiency while keeping the boundary of each object and taking average operation toward inner field of the boundary. The experiments are performed with many test images and the results show that the proposed algorithm achieves bits reduction of 19% ~ 20% and computation time is also reduced.