• Title/Summary/Keyword: Setup Model

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Investigation on the Selection of Capillary Tube for the Alternative Refrigerant R-407C

  • Kim, Chang-Nyeun;Park, Young-Moo
    • International Journal of Air-Conditioning and Refrigeration
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    • v.8 no.1
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    • pp.40-49
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    • 2000
  • The capillary tube performance for R-407C is experimentally investigated. The experimental setup is a real vapor-compression refrigerating system. Mass flow rate is measured for various diameter and length while inlet pressure and degree of subcooling are changed. These data are compared with the results of a numerical model. The mass flow rate of the numerical model is about 14% less than the measured mass flow rate. It is found that mass flow rate and length for R-407C are less than those for R-22 under the same condition. Based on this experimental study and the numerical model, a set of design charts for capillary tube of R-407C is proposed.

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A Study on the Setup Model of Safety Management Information System in the Construction Management (건설산업관리(CM)에서 안전관리정보시스템 구축 모델에 관한 연구)

  • 김영수;강경식
    • Journal of the Korea Safety Management & Science
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    • v.5 no.3
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    • pp.45-55
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    • 2003
  • Construction Management(CM) system, which was introduced some years ago to large national construction projects, such as the construction of Incheon New Airport, construction of high-speed railroad and World Cup stadiums, is considered to be still in its early stage and safety at each step of CM is very poorly controlled. In an attempt to improve such inferior safety control of domestic CM, this study analyzed safety control operation system in CM home and abroad and suggested a model for the construction of safety control management information system suitable to the conditions of Korea.

Semiempirical model for wet scrubbing of bubble rising in liquid pool of sodium-cooled fast reactor

  • Pradeep, Arjun;Sharma, Anil Kumar
    • Nuclear Engineering and Technology
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    • v.50 no.6
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    • pp.849-853
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    • 2018
  • Mechanistic calculations for wet scrubbing of aerosol/vapor from gas bubble rising in liquid pool are essential to safety of sodium-cooled fast reactor. Hence, scrubbing of volatile fission product from mixed gas bubble rising in sodium pool is presented in this study. To understand this phenomenon, a theoretical model has been setup based on classical theories of aerosol/vapor removal from bubble rising through liquid pools. The model simulates pool scrubbing of sodium iodide aerosol and cesium vapor from a rising mixed gas bubble containing xenon as the inert species. The scrubbing of aerosol and vapor are modeled based on deposition mechanisms and Fick's law of diffusion, respectively. Studies were performed to determine the effect of various key parameters on wet scrubbing. It is observed that for higher vapor diffusion coefficient in gas bubble, the scrubbing efficiency is higher. For aerosols, the cut-off size above which the scrubbing efficiency becomes significant was also determined. The study evaluates the retention capability of liquid sodium used in sodium-cooled fast reactor for its safe operation.

-Machining Route Selection with the Shop Flow Information Using Genetic Algorithm- (작업장 특성을 고려한 가공경로선정 문제의 유전알고리즘 접근)

  • 이규용;문치웅;김재균
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.54
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    • pp.13-26
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    • 2000
  • Machining route selection to produce parts should be based on shop flow information because of input data at scheduling tasks and is one of the main problem in process planning. This paper addresses the problem of machining route selection in multi-stage process with machine group included a similar function. The model proposed is formulated as 0-1 integer programing considering the relation of parts and machine table size, avaliable time of each machine for planning period, and delivery date. The objective of the model is to minimize the sum of processing, transportation, and setup time for all parts. Genetic algorithm approach is developed to solve this model. The efficiency of the approach is examined in comparison with the method of branch and bound technique for the same problem. Also, this paper is to solve large problem scale and provide it if the multiple machining routes are existed an optimal solution.

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A Survey on Threats to Federated Learning (연합학습의 보안 취약점에 대한 연구동향)

  • Woorim Han;Yungi Cho;Yunheung Paek
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.230-232
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    • 2023
  • Federated Learning (FL) is a technique that excels in training a global model using numerous clients while only sharing the parameters of their local models, which were trained on their private training datasets. As a result, clients can obtain a high-performing deep learning (DL) model without having to disclose their private data. This setup is based on the understanding that all clients share the common goal of developing a global model with high accuracy. However, recent studies indicate that the security of gradient sharing may not be as reliable as previously thought. This paper introduces the latest research on various attacks that threaten the privacy of federated learning.

Development of Energy-sensitive Cluster Formation and Cluster Head Selection Technique for Large and Randomly Deployed WSNs

  • Sagun Subedi;Sang Il Lee
    • Journal of information and communication convergence engineering
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    • v.22 no.1
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    • pp.1-6
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    • 2024
  • Energy efficiency in wireless sensor networks (WSNs) is a critical issue because batteries are used for operation and communication. In terms of scalability, energy efficiency, data integration, and resilience, WSN-cluster-based routing algorithms often outperform routing algorithms without clustering. Low-energy adaptive clustering hierarchy (LEACH) is a cluster-based routing protocol with a high transmission efficiency to the base station. In this paper, we propose an energy consumption model for LEACH and compare it with the existing LEACH, advanced LEACH (ALEACH), and power-efficient gathering in sensor information systems (PEGASIS) algorithms in terms of network lifetime. The energy consumption model comprises energy-sensitive cluster formation and a cluster head selection technique. The setup and steady-state phases of the proposed model are discussed based on the cluster head selection. The simulation results demonstrated that a low-energy-consumption network was introduced, modeled, and validated for LEACH.

Development of Coil Breakage Prediction Model In Cold Rolling Mill

  • Park, Yeong-Bok;Hwang, Hwa-Won
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1343-1346
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    • 2005
  • In the cold rolling mill, coil breakage that generated in rolling process makes the various types of troubles such as the degradation of productivity and the damage of equipment. Recent researches were done by the mechanical analysis such as the analysis of roll chattering or strip inclining and the prevention of breakage that detects the crack of coil. But they could cover some kind of breakages. The prediction of Coil breakage was very complicated and occurred rarely. We propose to build effective prediction modes for coil breakage in rolling process, based on data mining model. We proposed three prediction models for coil breakage: (1) decision tree based model, (2) regression based model and (3) neural network based model. To reduce model parameters, we selected important variables related to the occurrence of coil breakage from the attributes of coil setup by using the methods such as decision tree, variable selection and the choice of domain experts. We developed these prediction models and chose the best model among them using SEMMA process that proposed in SAS E-miner environment. We estimated model accuracy by scoring the prediction model with the posterior probability. We also have developed a software tool to analyze the data and generate the proposed prediction models either automatically and in a user-driven manner. It also has an effective visualization feature that is based on PCA (Principle Component Analysis).

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Classification and Performance Evaluation Methods of an Algal Bloom Model (적조모형의 분류 및 성능평가 기법)

  • Cho, Hong-Yeon;Cho, Beom Jun
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.26 no.6
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    • pp.405-412
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    • 2014
  • A number of algal bloom models (red-tide models) have been developed and applied to simulate the redtide growth and decline patterns as the interest on the phytoplankton blooms has been continuously increased. The quantitative error analysis of the model is of great importance because the accurate prediction of the red-tide occurrence and transport pattern can be used to setup the effective mitigations and counter-measures on the coastal ecosystem, aquaculture and fisheries damages. The word "red-tide model" is widely used without any clear definitions and references. It makes the comparative evaluation of the ecological models difficult and confusable. It is highly required to do the performance test of the red-tide models based on the suitable classification and appropriate error analysis because model structures are different even though the same/similar words (e.g., red-tide, algal bloom, phytoplankton growth, ecological or ecosystem models) are used. Thus, the references on the model classification are suggested and the advantage and disadvantage of the models are also suggested. The processes and methods on the performance test (quantitative error analysis) are recommend to the practical use of the red-tide model in the coastal seas. It is suggested in each stage of the modeling procedures, such as verification, calibration, validation, and application steps. These suggested references and methods can be attributed to the effective/efficient marine policy decision and the coastal ecosystem management plan setup considering the red-tide and/or ecological models uncertainty.

Ubiquitous-campus recruit service model for members based on mobile computing environments (모바일 컴퓨팅 환경기반의 u-Campus 구성원 중심의 취업 서비스 모델)

  • Ryu, Sang-Ryul;Kim, Hyeock-Jin;Lee, Se-Yul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.5
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    • pp.1296-1303
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    • 2008
  • Recently, the university environment has been changed faster than before. It has based on university environment and IT infrastructure. Especially, most of local university has devised development plan such as improving the image and competitive power of campus. Digital, Electronic and Mobile Campus has increased the importance as people realize that the use of technology can improve the learning process. U-Campus of latest IT Technology need a service environment of which the practical use is possible through IT analysis of the members. For example u-campus setup of mobile offers the convenience to the members. We expected thing to use much, even though actual condition investigation about IT environment of the user is insufficient. The inconvenience of mobile could not be activated to the service for proactive use. The importance became the result about u-campus service setup of a company and university center. This service environment cannot offer specific information of center members for which the service implements. In this paper, we studied about members centralized u-campus model through u-recruit, campus information mobile service on university.

A Model for Analyzing the Performance of Wireless Multi-Hop Networks using a Contention-based CSMA/CA Strategy

  • Sheikh, Sajid M.;Wolhuter, Riaan;Engelbrecht, Herman A.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.5
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    • pp.2499-2522
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    • 2017
  • Multi-hop networks are a low-setup-cost solution for enlarging an area of network coverage through multi-hop routing. Carrier sense multiple access with collision avoidance (CSMA/CA) is frequently used in multi-hop networks. Multi-hop networks face multiple problems, such as a rise in contention for the medium, and packet loss under heavy-load, saturated conditions, which consumes more bandwidth due to re-transmissions. The number of re-transmissions carried out in a multi-hop network plays a major role in the achievable quality of service (QoS). This paper presents a statistical, analytical model for the end-to-end delay of contention-based medium access control (MAC) strategies. These strategies schedule a packet before performing the back-off contention for both differentiated heterogeneous data and homogeneous data under saturation conditions. The analytical model is an application of Markov chain theory and queuing theory. The M/M/1 model is used to derive access queue waiting times, and an absorbing Markov chain is used to determine the expected number of re-transmissions in a multi-hop scenario. This is then used to calculate the expected end-to-end delay. The prediction by the proposed model is compared to the simulation results, and shows close correlation for the different test cases with different arrival rates.