• Title/Summary/Keyword: making techniques

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The Design of A HPC based System For Responding Complex Disaster (복합재난 대응을 위한 HPC 기반 시스템 설계)

  • Kang, Kyung-woo;Kang, Yun-hee
    • Journal of Platform Technology
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    • v.6 no.4
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    • pp.49-58
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    • 2018
  • Complex disasters make greater damage and higher losses unexpected than the past. To prevent these disasters, it needs to prepare a plan for handling unexpected results. Especially an accident at a facility like an atomic power plant makes a big problem cause of climate change. A simulation needs to do preliminary researches based on diverse situations. In this research we define the basic component techniques to design and implement the disaster management system. Basically a hierarchical system design method is to build on the resources provided from high performance computing(HPC) and large-scale storage systems. To develop the system, it is considered middleware as well as application studies, data studies and decision making services in convergence areas.

A NOTE ON DERIVATIONS OF A SULLIVAN MODEL

  • Kwashira, Rugare
    • Communications of the Korean Mathematical Society
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    • v.34 no.1
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    • pp.279-286
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    • 2019
  • Complex Grassmann manifolds $G_{n,k}$ are a generalization of complex projective spaces and have many important features some of which are captured by the $Pl{\ddot{u}}cker$ embedding $f:G_{n,k}{\rightarrow}{\mathbb{C}}P^{N-1}$ where $N=\(^n_k\)$. The problem of existence of cross sections of fibrations can be studied using the Gottlieb group. In a more generalized context one can use the relative evaluation subgroup of a map to describe the cohomology of smooth fiber bundles with fiber the (complex) Grassmann manifold $G_{n,k}$. Our interest lies in making use of techniques of rational homotopy theory to address problems and questions involving applications of Gottlieb groups in general. In this paper, we construct the Sullivan minimal model of the (complex) Grassmann manifold $G_{n,k}$ for $2{\leq}k<n$, and we compute the rational evaluation subgroup of the embedding $f:G_{n,k}{\rightarrow}{\mathbb{C}}P^{N-1}$. We show that, for the Sullivan model ${\phi}:A{\rightarrow}B$, where A and B are the Sullivan minimal models of ${\mathbb{C}}P^{N-1}$ and $G_{n,k}$ respectively, the evaluation subgroup $G_n(A,B;{\phi})$ of ${\phi}$ is generated by a single element and the relative evaluation subgroup $G^{rel}_n(A,B;{\phi})$ is zero. The triviality of the relative evaluation subgroup has its application in studying fibrations with fibre the (complex) Grassmann manifold.

A response surface modelling approach for multi-objective optimization of composite plates

  • Kalita, Kanak;Dey, Partha;Joshi, Milan;Haldar, Salil
    • Steel and Composite Structures
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    • v.32 no.4
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    • pp.455-466
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    • 2019
  • Despite the rapid advancement in computing resources, many real-life design and optimization problems in structural engineering involve huge computation costs. To counter such challenges, approximate models are often used as surrogates for the highly accurate but time intensive finite element models. In this paper, surrogates for first-order shear deformation based finite element models are built using a polynomial regression approach. Using statistical techniques like Box-Cox transformation and ANOVA, the effectiveness of the surrogates is enhanced. The accuracy of the surrogate models is evaluated using statistical metrics like $R^2$, $R^2{_{adj}}$, $R^2{_{pred}}$ and $Q^2{_{F3}}$. By combining these surrogates with nature-inspired multi-criteria decision-making algorithms, namely multi-objective genetic algorithm (MOGA) and multi-objective particle swarm optimization (MOPSO), the optimal combination of various design variables to simultaneously maximize fundamental frequency and frequency separation is predicted. It is seen that the proposed approach is simple, effective and good at inexpensively producing a host of optimal solutions.

An intelligent health monitoring method for processing data collected from the sensor network of structure

  • Ghiasi, Ramin;Ghasemi, Mohammad Reza
    • Steel and Composite Structures
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    • v.29 no.6
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    • pp.703-716
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    • 2018
  • Rapid detection of damages in civil engineering structures, in order to assess their possible disorders and as a result produce competent decision making, are crucial to ensure their health and ultimately enhance the level of public safety. In traditional intelligent health monitoring methods, the features are manually extracted depending on prior knowledge and diagnostic expertise. Inspired by the idea of unsupervised feature learning that uses artificial intelligence techniques to learn features from raw data, a two-stage learning method is proposed here for intelligent health monitoring of civil engineering structures. In the first stage, $Nystr{\ddot{o}}m$ method is used for automatic feature extraction from structural vibration signals. In the second stage, Moving Kernel Principal Component Analysis (MKPCA) is employed to classify the health conditions based on the extracted features. In this paper, KPCA has been implemented in a new form as Moving KPCA for effectively segmenting large data and for determining the changes, as data are continuously collected. Numerical results revealed that the proposed health monitoring system has a satisfactory performance for detecting the damage scenarios of a three-story frame aluminum structure. Furthermore, the enhanced version of KPCA methods exhibited a significant improvement in sensitivity, accuracy, and effectiveness over conventional methods.

A Study on Process Management Method of Offshore Plant Piping Material using Process Mining Technique (프로세스 마이닝 기법을 이용한 해양플랜트 배관재 제작 공정 관리 방법에 관한 연구)

  • Park, JungGoo;Kim, MinGyu;Woo, JongHun
    • Journal of the Society of Naval Architects of Korea
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    • v.56 no.2
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    • pp.143-151
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    • 2019
  • This study describes a method for analyzing log data generated in a process using process mining techniques. A system for collecting and analyzing a large amount of log data generated in the process of manufacturing an offshore plant piping material was constructed. The analyzed data was visualized through various methods. Through the analysis of the process model, it was evaluated whether the process performance was correctly input. Through the pattern analysis of the log data, it is possible to check beforehand whether the problem process occurred. In addition, we analyzed the process performance data of partner companies and identified the load of their processes. These data can be used as reference data for pipe production allocation. Real-time decision-making is required to cope with the various variances that arise in offshore plant production. To do this, we have built a system that can analyze the log data of real - time system and make decisions.

Safe anesthesia for office-based plastic surgery: Proceedings from the PRS Korea 2018 meeting in Seoul, Korea

  • Osman, Brian M.;Shapiro, Fred E.
    • Archives of Plastic Surgery
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    • v.46 no.3
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    • pp.189-197
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    • 2019
  • There has been an exponential increase in plastic surgery cases over the last 20 years, surging from 2.8 million to 17.5 million cases per year. Seventy-two percent of these cases are being performed in the office-based or ambulatory setting. There are certain advantages to performing aesthetic procedures in the office, but several widely publicized fatalities and malpractice claims has put the spotlight on patient safety and the lack of uniform regulation of office-based practices. While 33 states currently have legislation for office-based surgery and anesthesia, 17 states have no mandate to report patient deaths or adverse outcomes. The literature on office-base surgery and anesthesia has demonstrated significant improvements in patient safety over the last 20 years. In the following review of the proceedings from the PRS Korea 2018 meeting, we discuss several key concepts regarding safe anesthesia for office-based cosmetic surgery. These include the safe delivery of oxygen, appropriate local anesthetic usage and the avoidance of local anesthetic toxicity, the implementation of Enhanced Recovery after Surgery protocols, multimodal analgesic techniques with less reliance on narcotic pain medications, the use of surgical safety checklists, and incorporating "the patient" into the surgical decision-making process through decision aids.

The characteristics and making techniques of the woven belts excavated from the tombs of Uiwon-gun and Sim Ikchang in the 17th and 18th centuries (17~18세기 의원군과 심익창 묘 출토 광다회(廣多繪)의 양식과 제작기법)

  • Park, Yoon Mee
    • The Research Journal of the Costume Culture
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    • v.29 no.5
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    • pp.735-746
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    • 2021
  • Uiwon-gun (1661-1722) and Sim Ikchang (1652-1725) were people of the upper classes of the Joseon Dynasty, who's belts woven with thread were found in their graves. The purpose of this study is to find a term suitable for the belts of these two people and to reveal the characteristics of the two belts and decipher the 8-character text marked on Shim Ikchang's belt to understand its meaning. The terms used during the Joseon Dynasty related to woven belts include "Gwangdaho", "Daeja", "Bunhapdae", "Sagagda", "Bangseungah", and "Samunjikdae". Among these terms, "Gwangdahoe" is the most suitable to indicate the belts of for both belts. The belts are made of a silk fabric of narrow width. The size of Uiwon-gun's belt is 2.8×199cm, and because it is folded in half lengthwise and sewn, the original width is 8cm. It was woven in the imitation gauze technique. Sim Ik-chang's belt measures 10.5×258cm and is decorated with a woven net at the end. There are water and mountain patterns on both ends of the belt, with 11 lines of flower patterns equally spaced between. The belt is damask, the inscription part is made of brocade with letters expressed in golden thread. The meaning of the inscription is "Made in Hanbu. May you live a long and healthy life".

A System Dynamics Model for Evaluation of Maintenance Cost Policy in Deteriorated School Building (노후 학교건물의 유지관리비용 정책 평가를 위한 시스템 다이내믹스 모델)

  • Kang, Suhyun;Kim, Sangyong
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.35 no.12
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    • pp.181-188
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    • 2019
  • The maintenance of school building is pivotal issue. However, it is difficult to obtain basic analysis data for LCC(Lifecycle Cost) analysis and maintenance planning of school building. Therefore, this study proposed System Dynamics(SD) techniques to make maintenance decisions for school building. The interaction between the major parameters related to the aging of a building, maintenance activities, and cost were expressed in Causal Loop Diagram. Based on this, the formula for the relationship between causal maps was defined and converted to Stock and Flow Diagram. Through the completed SD model the 50-year plan of 214 educational building were tested by considered in account budget, maintainability, and budget allocation opinions. As a result, the integrated SD model demonstrated that it can support strategic decision making by identifying the status class and LCC behavior of school buildings by scenario. According to the scenario analysis, the rehabilitation action of preventive maintenance that primarily repairs the buildings in condition grade C showed the best performance improvement effect relative to the cost. Therefore, if the proposed SD model is expanded to consider the effects of other educational policies, the crucial performance improvement budget can be estimated in the long-term perspective.

Policies and industrial technology trends for senior-friendly foods (고령친화식품의 정책 및 산업기술 동향)

  • Lee, Hyun-Sun;Nam, Young-Joo;Kim, Yang-Eun;Kim, Jong-Chan;Shin, YunJeong;Lee, YoungJin;Heo, Wan
    • Food Science and Industry
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    • v.53 no.4
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    • pp.435-443
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    • 2020
  • Korea has entered into an aged-society in 2018. If this trend continues to increase, it is expected that a super-aging society will take place by 2026. Therefore, Korea is placed in the situation of becoming the world's fastest aging nation as it becomes a super-aging society from an aged-society in twenty-six years. In order to provide an effective supply of nutrition for the socially weak, Japan developed a variety of foods with food texture improvements. Germany improved accessibility for meal service development. Senior-friendly food is a softened food or a highly concentrated drink, which is considered a texture-modified food, for the elderly with eating disorders to digest food more easily by making food particles smaller. Varying food processing techniques such as freeze-thawing enzyme impregnation, high-pressure processing, super-heated steam processing, 3D food print, and others used to produce texture-modified foods.

Institutional Strategy of Palm Oil Independent Smallholders: A Case Study in Indonesia

  • ANWAR, Khairul;TAMPUBOLON, Dahlan;HANDOKO, Tito
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.529-538
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    • 2021
  • This article aims to describe the institutional structuring strategy of independent smallholders in accelerating sustainable economic development, by taking the example of the cow-coconut integration system (SISKA) problem in Sialang Palas Village, Riau. The method used identified stakeholders related to SISKA; the stakeholder's goals and interests, farmers' social and institutional bases, and self-help farmer socio-economic networks. First, identification of various factors through strengths, weaknesses, opportunities, and threats (SWOT) analysis techniques. Second, through the Modern Political Economy analysis technique. Third, imparting knowledge and skills to the farmers and village officials through a collective learning process in utilizing natural resource waste and social resources. The results showed that the farmer management strategy in the reform era started by clustering the interests of farmers. The dynamics of structuring group relations between the chairman and members with farmers outside the group are the basis for strengthening the local ideology of independence in the future. This institutional structuring strategy that focuses on access to farm power in the village decision-making process encourages a more integrated work of farmer organizations. The analysis above shows that the independent smallholder institutional engineering through regulation, organization, and resources are determined by the farmer household economic factors and the application of the value of local wisdom.