The Experts below are selected from a list of 177 Experts worldwide ranked by ideXlab platform
Yongcheol Shin - One of the best experts on this subject based on the ideXlab platform.
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an integral effect Test of a complete loss of reactor coolant system flow rate for the smart design using the vista itl facility and its simulation with the mars ks code
Journal of Nuclear Science and Technology, 2017Co-Authors: Hyunsik Park, Byongguk Jeon, Hwang Bae, Yongcheol ShinAbstract:ABSTRACTAn integral effect Test was successfully performed to provide data to assess the capability of the system analysis code to simulate a complete loss of reactor coolant system (RCS) flow rate (CLOF) scenario for the SMART (System-integrated Modular Advanced ReacTor) design. The steady-state conditions were achieved to satisfy initial Test conditions presented in the Test Requirement, its boundary conditions were accurately simulated, and the CLOF scenario in the SMART design was reproduced properly using the VISTA-ITL facility. The natural circulation flow rate in the RCS was about 12.0% of the rated RCS flow rate and the flow rate in the passive residual heat removal system (PRHRS) loop was about 10.6% of its rated value in the early stage of the PRHRS operation. In this paper, the major experimental results of the CLOF Test are discussed. The Test results were analyzed using the best-estimate system analysis code, MARS-KS, to assess its capability to simulate a CLOF scenario for the SMART design.
Peng Peng - One of the best experts on this subject based on the ideXlab platform.
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intelligent substation relay protection noninvasive Test system and method
2014Co-Authors: Gao Xiang, Peng PengAbstract:The invention relates to an intelligent substation relay protection noninvasive Test system and an intelligent substation relay protection noninvasive Test method, which belong to the technical field of electric systems. The intelligent substation relay protection noninvasive Test system comprises a network communication module, an SCD analysis module, a Test control module, a Test excitation module and a Test evaluation module, wherein the SCD analysis module, the Test control module, the Test excitation module and the Test evaluation module are respectively connected with the network communication module; the SCD analysis module is respectively connected with the network communication module, the Test evaluation module and an HMI for transmitting an SCD file; the network communication module is respectively connected with an MMS network and a GOOSE network for transmitting the SCD file, a Test instruction and a Test case; the Test control module is respectively connected with the HMI, the Test excitation module and the network communication module for transmitting the Test instruction, and the Test control module is connected with the Test evaluation module for transmitting a Test Requirement; the Test excitation module is used for receiving the Test instruction and outputting the Test case to the network Through the system and the method, Tests on an SV chain circuit between a merging unit and a protection device as well as a GOOSE chain circuit between the protection device and an intelligent terminal can be implemented, and the Test efficiency of an intelligent substation is improved.
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intelligent substation relay protection noninvasive Test system and method
2014Co-Authors: Gao Xiang, Peng PengAbstract:The invention relates to an intelligent substation relay protection noninvasive Test system and an intelligent substation relay protection noninvasive Test method, which belong to the technical field of electric systems. The intelligent substation relay protection noninvasive Test system comprises a network communication module, an SCD analysis module, a Test control module, a Test excitation module and a Test evaluation module, wherein the SCD analysis module, the Test control module, the Test excitation module and the Test evaluation module are respectively connected with the network communication module; the SCD analysis module is respectively connected with the network communication module, the Test evaluation module and an HMI for transmitting an SCD file; the network communication module is respectively connected with an MMS network and a GOOSE network for transmitting the SCD file, a Test instruction and a Test case; the Test control module is respectively connected with the HMI, the Test excitation module and the network communication module for transmitting the Test instruction, and the Test control module is connected with the Test evaluation module for transmitting a Test Requirement; the Test excitation module is used for receiving the Test instruction and outputting the Test case to the network Through the system and the method, Tests on an SV chain circuit between a merging unit and a protection device as well as a GOOSE chain circuit between the protection device and an intelligent terminal can be implemented, and the Test efficiency of an intelligent substation is improved.
Hyunsik Park - One of the best experts on this subject based on the ideXlab platform.
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an integral effect Test of a complete loss of reactor coolant system flow rate for the smart design using the vista itl facility and its simulation with the mars ks code
Journal of Nuclear Science and Technology, 2017Co-Authors: Hyunsik Park, Byongguk Jeon, Hwang Bae, Yongcheol ShinAbstract:ABSTRACTAn integral effect Test was successfully performed to provide data to assess the capability of the system analysis code to simulate a complete loss of reactor coolant system (RCS) flow rate (CLOF) scenario for the SMART (System-integrated Modular Advanced ReacTor) design. The steady-state conditions were achieved to satisfy initial Test conditions presented in the Test Requirement, its boundary conditions were accurately simulated, and the CLOF scenario in the SMART design was reproduced properly using the VISTA-ITL facility. The natural circulation flow rate in the RCS was about 12.0% of the rated RCS flow rate and the flow rate in the passive residual heat removal system (PRHRS) loop was about 10.6% of its rated value in the early stage of the PRHRS operation. In this paper, the major experimental results of the CLOF Test are discussed. The Test results were analyzed using the best-estimate system analysis code, MARS-KS, to assess its capability to simulate a CLOF scenario for the SMART design.
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experimental verification on the integrity and performance of the passive residual heat removal system for a smart design with vista itl
Annals of Nuclear Energy, 2014Co-Authors: Byungyeon Min, Hyunsik Park, Yongchul ShinAbstract:Abstract The purpose of this paper is to verify the integrity and performance of the passive residual heat removal system (PRHRS) for the SMART design during a steady state condition. The system’s overall thermal–hydraulic behavior during the steady state operation of the PRHRS of the SMART reactor was simulated using the VISTA-ITL, a small-scale integral effect Test loop for the SMART design. The PRHRS is operated properly when the reactor is shutdown considering all the operating conditions of the SMART plant. The steady-state PRHRS performance Tests are divided into three conditions of 100% scaled power, 20% scaled power, and hot standby condition. The experimental results show that PRHRS’s integrity and performance are proper for these three conditions. The steady state condition was well operated to satisfy the initial Test conditions presented in the Test Requirement, and its boundary condition was properly simulated. The natural circulation flow rate in the primary system was about 10.0%, 10.6%, and 10.6% for 100% scaled power, 20% scaled power, and hot standby condition, respectively. The PRHRS’s natural circulation flow was formed as much as 10.1%, 11.7% and 9.1% for 100% scaled power, 20% scaled power and hot standby condition of its nominal value in the early stage of the PRHRS operation, respectively.
Yudhi . Rahmadani - One of the best experts on this subject based on the ideXlab platform.
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PENGARUH LINGKUNGAN KELUARGA DAN MINAT BELAJAR TERHADAP PRESTASI BELAJAR PADA SISWA KELAS X (AP) SMK MUARA INDONESIA DI JAKARTA TIMUR
2020Co-Authors: Yudhi . RahmadaniAbstract:ABSTRAK Yudhi Rahmadani, 8105154859, Pengaruh Lingkungan Keluarga dan Minat Belajar Terhadap Prestasi Belajar Pada Siswa SMK Muara Indonesia Jakarta Timur. Skripsi, Jakarta: Fakultas Ekonomi, Universitas Negeri Jakarta. 2020. Penelitian ini bertujuan untuk mengetahui pengaruh Lingkungan Keluarga dan Minat Belajar terhadap Prestasi Belajar pada Siswa SMK Muara Indonesia. Penelitian ini membutuhkan waktu selama tiga bulan, terhitung dari bulan November 2019 sampai dengan Febuari 2020. Penelitian ini dilakukan dengan menggunakan metode survey. Populasi penelitian ini berjumlah 636 terbagi dari kelas X 171 siswa kelas XI 229 siswa dan kelas XII 236 siswa sedangkan populasi terjangkau pada penelitian ini berjumlah 126 siswa di kelas X OTKP. Berdasarkan pada tabel Isaac dan Michael maka jumlah sampel pada penelitian ini sebanyak 89 responden. Teknik pemilihan responden menggunakan proportional random sampling, yaitu dengan metode pengambilan sampel. Untuk pengolahan data, peneliti mengolah kuesioner dengan menggunakan skala likert. Variabel Prestasi Belajar (Y), Lingkungan Keluarga (X1), dan Minat Belajar (X2) merupakan merupakan data primer yang berbentuk kuesioner penelitian. Teknik analisis data yang digunakan yaitu, pertama uji persyaratan analisis yang terdiri dari uji normalitas dan uji linearitas. Hasil uji normalitas untuk variabel Lingkungan Keluarga, Minat Belajar dan Prestasi Belajar tingkat signifikannya ialah 0,200 > 0,05 dimana menandakan data berdistribusi normal. Hasil uji linearitas Lingkungan Keluarga (X1) dengan Prestasi Belajar (Y) adalah 0,253 dan hasil uji linearitas Minat Belajar (X2) dengan Prestasi Belajar (Y) adalah 0,848. Kedua uji asumsi klasik yang terdiri dari uji multikolinearitas dan uji heteroskedastisitas. Hasil dari uji multikolinearitas adalah nilai Tolerance variable Lingkungan Keluarga (X1) dan Minat Belajar (X2) sebesar 0,675 > 0,1 dan nilai VIF sebesar 1,482 Ftabel3,10, hal ini berarti secara simultan X1 dan X2 berhubungan dengan Y. Uji t menghasilkan thitung 3,813 > ttabel 1,98827, dapat disimpulkan bahwa terdapat pengaruh positif dan signifikan antara Lingkungan Keluarga dan Prestasi Belajar. Kemudian, thitung 3,864 > ttabel 1,98827, maka dapat disimpulkan terdapat pengaruh yang positif dan signifikan antara Minat Belajar dan Prestasi Belajar. Uji koefisien determinasi (R²) sebesar 0,444, yaitu masing+masing variabel X1 dan X2 menyumbang pengaruh sebesar 44,4%, kepada Y dan sisanya 55,6%dipengaruhi oleh faktor lain yang tidak diteliti. Kata Kunci: Lingkungan Keluarga, Minat Belajar, Prestasi Belajar ABSTRACT Yudhi Rahmadani, 8105154859, The Influence of Family Environment and Interest to Learn on Learning Achievement Student SMK Muara Indonesia Jakarta Timur. Script, Jakarta: Faculty of Economics, State University of Jakarta. 2019. This study aims to determine whether there The Influence of Family Environment and Interest to Learn on Learning Achievement student SMK Muara Indonesia Jakarta Timur . This study took three months, starting from November 2019 to Februray 2020. This research was conducted by using survey method. The population reached in this study amounted to 126 students. Based on the table Isaac and Michael the number of samples in this study as many as 89 respondents. The technique of selecting respondents using proportional random sampling, that is using proportional random method. For data processing, researchers processed the questionnaire by using Likert scale. Learning Achievement Variables (Y), Family Environment (X1), and Interest to Learn (X2) is the primary data in the form of research questionnaires. Data analysis technique used is, first Test Requirement analysis consisted of Test of normality and Test of linearity. The result Test of normality of Family Environment, Interest on Learning, and Learning Achievement level significant is 0,200 > 0,05. The result Test of linearity on Family Environment with Learning Achievement is 0,253. The result Test of linearity on Interest to Learn with Learning Achievement is 0,848. The second Test classical assumption Tests consist of multicolinearity Test and heteroscedasticity Test. The result Test of multicolinearity is tolerance value Family Environment and Interest to Learn is 0,675 > 0,1 and the VIF value is 1,482 Ftabel 3,10 in this case X1 and X2 varibles simultaniously hasrelationship with Y variable. T Test produce X1 t count thitung 3,813 >t tabel1,98827, it means there is positive and significant relationship between X1 with Y. X2 t countthitung 3,864 > ttabel1,98827 it means there is positive and significant relationshipbetween X2 with Y. Based of determination coefficient (R²) Test obtained value 0,934 which means Family Environment (X1) and Interest to Learn (X2) have an effect on Learning Achievement (Y) equal to 44,4%and the rest55,6% influenced by other variables that are not researched. Keywords: Family Environment, Interest to Learn, Learning Achievemen
Wu Yue - One of the best experts on this subject based on the ideXlab platform.
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solution of automatic Test for interrupt driven based embedded software
Journal of Computer Applications, 2006Co-Authors: Wu YueAbstract:As an important Test method,automatic Test technique would bring significant effect to the quality,cost and development cycle of software if it is introduced into the Test process of embedded software.The characteristic and Test Requirement of a module based embedded software were analyzed.Subsequently,it presented an automatic Test solution based on high reliable oriented embedded software which was driven by interrupts.At last it summarized the advantages and the coverage of auto Test technique.
