• Title/Summary/Keyword: large-scale systems

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Study on derivation from large-amplitude size dependent internal resonances of homogeneous and FG rod-types

  • Somaye Jamali Shakhlavi;Reza Nazemnezhad
    • Advances in nano research
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    • v.16 no.2
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    • pp.111-125
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    • 2024
  • Recently, a lot of research has been done on the analysis of axial vibrations of homogeneous and FG nanotubes (nanorods) with various aspects of vibrations that have been fully mentioned in history. However, there is a lack of investigation of the dynamic internal resonances of FG nanotubes (nanorods) between them. This is one of the essential or substantial characteristics of nonlinear vibration systems that have many applications in various fields of engineering (making actuators, sensors, etc.) and medicine (improving the course of diseases such as cancers, etc.). For this reason, in this study, for the first time, the dynamic internal resonances of FG nanorods in the simultaneous presence of large-amplitude size dependent behaviour, inertial and shear effects are investigated for general state in detail. Such theoretical patterns permit as to carry out various numerical experiments, which is the key point in the expansion of advanced nano-devices in different sciences. This research presents an AFG novel nano resonator model based on the axial vibration of the elastic nanorod system in terms of derivation from large-amplitude size dependent internal modals interactions. The Hamilton's Principle is applied to achieve the basic equations in movement and boundary conditions, and a harmonic deferential quadrature method, and a multiple scale solution technique are employed to determine a semi-analytical solution. The interest of the current solution is seen in its specific procedure that useful for deriving general relationships of internal resonances of FG nanorods. The numerical results predicted by the presented formulation are compared with results already published in the literature to indicate the precision and efficiency of the used theory and method. The influences of gradient index, aspect ratio of FG nanorod, mode number, nonlinear effects, and nonlocal effects variations on the mechanical behavior of FG nanorods are examined and discussed in detail. Also, the inertial and shear traces on the formations of internal resonances of FG nanorods are studied, simultaneously. The obtained valid results of this research can be useful and practical as input data of experimental works and construction of devices related to axial vibrations of FG nanorods.

A Non-Shared Metadata Management Scheme for Large Distributed File Systems (대용량 분산파일시스템을 위한 비공유 메타데이타 관리 기법)

  • Yun, Jong-Byeon;Park, Yang-Bun;Lee, Seok-Jae;Jang, Su-Min;Yoo, Jae-Soo;Kim, Hong-Yeon;Kim, Young-Kyun
    • Journal of KIISE:Computer Systems and Theory
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    • v.36 no.4
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    • pp.259-273
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    • 2009
  • Most of large-scale distributed file systems decouple a metadata operation from read and write operations for a file. In the distributed file systems, a certain server named a metadata server (MDS) maintains metadata information in file system such as access information for a file, the position of a file in the repository, the namespace of the file system, and so on. But, the existing systems used restrictive metadata management schemes, because most of the distributed file systems designed to focus on the distributed management and the input/output performance of data rather than the metadata. Therefore, in the existing systems, the metadata throughput and expandability of the metadata server are limited. In this paper, we propose a new non-shared metadata management scheme in order to provide the high metadata throughput and scalability for a cluster of MDSs. First, we derive a dictionary partitioning scheme as a new metadata distribution technique. Then, we present a load balancing technique based on the distribution technique. It is shown through various experiments that our scheme outperforms existing metadata management schemes in terms of scalability and load balancing.

Analysis of the workforce challenges of medical device manufacturers (의료기기 제조업체의 구인난에 관한 분석)

  • Park, Rog-Gook;Lee, Woo-Cheon
    • Journal of Korea Society of Industrial Information Systems
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    • v.21 no.1
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    • pp.71-82
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    • 2016
  • This study has been carried out to provide data for the workforce by analyzing personnel status of medical device manufacturers, level of difficulty in securing human resource, reason for difficulty in securing human resource, resignation rate, and recruitment methods. Results, medical device manufacturers are required overseas sales personnel responsible for international certification and exported, regardless of the production item. And the company is located in the metropolitan area did not facilitate a secure workforce. Medical device manufacturers have difficulties in securing personnel, regardless of the employees and sales. In particular, Class 3 production company was more difficult. The reason that it is difficult to secure the human resources is attributable to the poor working conditions of the private companies and there is a few possible employees equipped with the job competency demanded by corporate entities. With respect to the analysis on the retirement rate, the larger the company scale and the more the employee number, more difficulty is experienced in the human resource management. Therefore, for any medical device manufacturers with large organization scale, it would be critical to introduce appropriate human resource management program.

A Machine Learning-based Popularity Prediction Model for YouTube Mukbang Content (머신러닝 기반의 유튜브 먹방 콘텐츠 인기 예측 모델)

  • Beomgeun Seo;Hanjun Lee
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.49-55
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    • 2023
  • In this study, models for predicting the popularity of mukbang content on YouTube were proposed, and factors influencing the popularity of mukbang content were identified through post-analysis. To accomplish this, information on 22,223 pieces of content was collected from top mukbang channels in terms of subscribers using APIs and Pretty Scale. Machine learning algorithms such as Random Forest, XGBoost, and LGBM were used to build models for predicting views and likes. The results of SHAP analysis showed that subscriber count had the most significant impact on view prediction models, while the attractiveness of a creator emerged as the most important variable in the likes prediction model. This confirmed that the precursor factors for content views and likes reactions differ. This study holds academic significance in analyzing a large amount of online content and conducting empirical analysis. It also has practical significance as it informs mukbang creators about viewer content consumption trends and provides guidance for producing high-quality, marketable content.

Task Allocation and Path Planning for Multiple Unmanned Vehicles on Grid Maps (격자 지도 기반의 다수 무인 이동체 임무 할당 및 경로 계획)

  • Byeong-Min Jeong;Dae-Sung Jang;Nam-Eung Hwang;Joon-Won Kim;Han-Lim Choi
    • Journal of Aerospace System Engineering
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    • v.18 no.2
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    • pp.56-63
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    • 2024
  • As the safety of unmanned vehicles continues to improve, their usage in urban environments, which are full of obstacles such as buildings, is expected to increase. When numerous unmanned vehicles are operated in such environments, an algorithm that takes into account mutual collision avoidance, as well as static and dynamic obstacle avoidance, is necessary. In this paper, we propose an algorithm that handles task assignment and path planning. To efficiently plan paths, we construct a grid-based map and derive the paths from it. To enable quick re-planning in dynamic environments, we focus on reducing computational time. Through simulation, we explain obstacle avoidance and mutual collision avoidance in small-scale problems and confirm their performance by observing the entire mission completion time (Makespan) in large-scale problems.

The comparative analysis on Large scale fire tests through FDS simulation (FDS 모델링을 통한 실대화재시험 비교 분석)

  • Park, Kye-Won;Kim, Woon-Hyung;Jeong, Jae-Gun;Im, Hong-Soon
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2008.11a
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    • pp.93-98
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    • 2008
  • On this study, The combustion properties in 3 kinds of sandwich panels based on ISO 13784-1(Room Corner Test for Sandwich panel building systems) using FDS Version 5 modeling method were tested and analyzed. Comparative analysis for those two results between FDS and real tests were made mainly concentrating on heat release rate.

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A Design Queueing Network Model of Large-scale Multimedia-On-Demand Service Systems with Unreliable Components (결함 발생을 고려한 대규모 주문형 멀티미디어 서비스 시스템의 큐잉 네트워크 모델 설계)

  • 박지진;김성수
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10a
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    • pp.24-26
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    • 1998
  • 멀티미디어 서버를 구성하고 있는 자원(프로세서, 디스크, 네드워크 등)의 결함 발생을 고려한 큐잉 네트워크 모델을 개발하였다. 이를 적용하여 고객 수용 능력 및 멀티미디어 서비스 시스템의 성능과 관련된 파라미터를 분석하였으며, 시뮬레이션 패키지를 활용한 모의 실험을 통하여 개발된 큐잉 네트워크 모델의 정확성을 검증하였다. 고객 도착률과 자원 고장률 변동에 대한 서버 자원의 이용률과 큐의 길이를 계산함으로써 효율적인 시스템 구성 자원의 부분별 용량 산정이 가능하게 되었으며, 또한 데이터 패킷 응답시간 분초 및 고장률 변화에 따른 시스템의 신뢰도 수준을 계산하였고, 이러한 성능 관련 파라미터의 확보를 통해서 멀티미디어 서비스 질 (Quality of Service)에 중요한 영향을 미치는 서버 설계 요소를 파악할 수 있었다.

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The Evaluation and Comparison of Alternative Site for the Second Service Facilities Zone near the Tonghak Temple in Mt. Kyeryong National Park (계룡산 국립공원 동학사 제2집단시설지구의 위치선정평가 및 대안비교)

  • Lee, Hee-Seon;Lee, Kyoo-Seock
    • Journal of Environmental Impact Assessment
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    • v.4 no.2
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    • pp.29-37
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    • 1995
  • The national park should be preserved in accordance with the regulation, but the development planning or facilities management planning has not been faithful to the spirits of the regulation. Recently natural environment has been radically changed, and especially damaged by large scale development of Service Facilities Zone. Thus the effective land use planning of the national park is required. Therefore, the purpose of this study is to propose the alternative site for The Second Service Facilities Zone in Mt. Kyeryong National Park using the GIS, and to compare the alternative site with the existing development site. Site selection was based on Rules of Combination which covers topographic analysis, viewshod analysis, distance analysis from hot spring well, land use analysis, and forest stand analysis.

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Advances in Li-ion Batteries

  • Lee, Se-Hee
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.06a
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    • pp.51.2-51.2
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    • 2010
  • Efficient and durable electrical energy storage is one of the major factors limiting the wide-spread adoption of renewable energy. Since lithium-ion batteries (LIBs) were first commercialized in the early 1990s, LIBs have emerged as an important energy storage device for portable electronics. LIBs are very desirable because of their high energy storage per volume and per mass. However, LIBs with high energy and power as well as higher stability are needed for their use in a variety of energy storage applications such as MEMS devices, PDA, plug-in hybrids, all-electric vehicles and large scale utility systems. In this talk, I will discuss present energy perspective, especially energy storage and its role in renewable energy. After that I will discuss the recent advances in nanostructured materials and interface engineering that have led to the achievement of improved Li-ion batteries. Finally I will talk aboutcritical issues that need to be addressed to obtain further improvements in Li-ion batteries.

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Finding Top-k Answers in Node Proximity Search Using Distribution State Transition Graph

  • Park, Jaehui;Lee, Sang-Goo
    • ETRI Journal
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    • v.38 no.4
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    • pp.714-723
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    • 2016
  • Considerable attention has been given to processing graph data in recent years. An efficient method for computing the node proximity is one of the most challenging problems for many applications such as recommendation systems and social networks. Regarding large-scale, mutable datasets and user queries, top-k query processing has gained significant interest. This paper presents a novel method to find top-k answers in a node proximity search based on the well-known measure, Personalized PageRank (PPR). First, we introduce a distribution state transition graph (DSTG) to depict iterative steps for solving the PPR equation. Second, we propose a weight distribution model of a DSTG to capture the states of intermediate PPR scores and their distribution. Using a DSTG, we can selectively follow and compare multiple random paths with different lengths to find the most promising nodes. Moreover, we prove that the results of our method are equivalent to the PPR results. Comparative performance studies using two real datasets clearly show that our method is practical and accurate.