• Title/Summary/Keyword: Long-term performance evaluation

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Turbine Cycle Thermal Performance Analysis of Advanced Power Reactor 1400 (신형경수로(APR1400)의 터빈 싸이클 열성능 분석)

  • Jeong, Dae-Yul;Lim, Hyuk-Soon;Jeong, Dae-Wok;Heo, Gyun-Young
    • Proceedings of the KSME Conference
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    • 2001.06d
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    • pp.343-347
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    • 2001
  • Advanced Pressurized Reactor 1400(APR-1400), which is a standard evolutionary advanced light water reactor(ALWR), has been developed from 1992 as one of long-term Government Project(G-7). The APR-1400 is designed to operate at the rated output of 4000MWt to produce an electric power output of around 1450MWe. The balance of plant (BOP) for the secondary system consists of main steam, feedwater, condensate, turbine generator and auxiliary system. In this paper, we describe the major design features of secondary component, balance of plant configuration, and then the turbine cycle thermal performance evaluation using PEPSE code.

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Performance Evaluation of k-means and k-medoids in WSN Routing Protocols

  • SeaYoung, Park;Dai Yeol, Yun;Chi-Gon, Hwang;Daesung, Lee
    • Journal of information and communication convergence engineering
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    • v.20 no.4
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    • pp.259-264
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    • 2022
  • In wireless sensor networks, sensor nodes are often deployed in large numbers in places that are difficult for humans to access. However, the energy of the sensor node is limited. Therefore, one of the most important considerations when designing routing protocols in wireless sensor networks is minimizing the energy consumption of each sensor node. When the energy of a wireless sensor node is exhausted, the node can no longer be used. Various protocols are being designed to minimize energy consumption and maintain long-term network life. Therefore, we proposed KOCED, an optimal cluster K-means algorithm that considers the distances between cluster centers, nodes, and residual energies. I would like to perform a performance evaluation on the KOCED protocol. This is a study for energy efficiency and validation. The purpose of this study is to present performance evaluation factors by comparing the K-means algorithm and the K-medoids algorithm, one of the recently introduced machine learning techniques, with the KOCED protocol.

A Study on the Temporal Correlation of Long-term Exposure Test and Accelerated Corrosion Test of Rebar (장기폭로 시험과 철근 부식 촉진시험의 시간적 상관성에 관한 연구)

  • Lee, Min-Woo;Park, Sang-Soon
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.2 no.4
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    • pp.307-313
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    • 2014
  • Recent interest in the increased structural performance and durability evaluation of this concrete structure in a salt damage environment is increasing. The most secure and reliable method of accelerated corrosion test is a method to carry out the rebar corrosion monitoring can be exposed directly to the marine test site exposure. However, long-term exposure testinghas the disadvantage that a long period is necessary. So, a lot of research on RC of salt damage environment have beenpromoted as alternatives to replace this. However, accelerated corrosion test, in the short term only is appropriate and is but an accelerated test method to evaluate the critical chlorine concentration, there is a difficult problem that you still get the answer. It is one of the correlation problems accelerated test correspond to a certain period of exposure environment. Therefore, in this study, to clarify the differences rebar corrosion beginning, through the actual corrosion accelerated test in corrosion time and laboratory test chamber of the structure of the marine environment results in both environments, it is an object of correlation coefficient derived.

A Survey of the Nursing Activities Performed by Nursing Staffs in Long-term care Hospitals (요양병원 간호 인력의 간호행위 수행 실태)

  • Kim, Myung-Hee;Jeong, Chu-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.2
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    • pp.940-951
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    • 2014
  • This study was to investigate of nursing activities performed by nursing staffs in long-term care hospitals. A survey of was conducted with 131 nurses who were working in 15 geriatric hospitals using a structural questionnaire. Data were collected from March 7 to June 30, 2013 and analyzed with SPSS 17.0, using descriptive statistics and t-test, ANOVA. This survey confirmed that the 88 activities except to 'making nursing diagnosis', 'setting nursing goals', and 'writting patient evaluation checklist' had been practiced in a wide range of nurses with nurse assistants. The degree of performance by nurse assistant was significantly different among nurses group according to the total number of patient and number of nurse(p<.001). Therefore, it is necessary to establish the legal and institutional regulation and development of algorithm for delegation, classify the impossible nursing task and work that can be delegated long-term care hospital.

The Method for Generating Recommended Candidates through Prediction of Multi-Criteria Ratings Using CNN-BiLSTM

  • Kim, Jinah;Park, Junhee;Shin, Minchan;Lee, Jihoon;Moon, Nammee
    • Journal of Information Processing Systems
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    • v.17 no.4
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    • pp.707-720
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    • 2021
  • To improve the accuracy of the recommendation system, multi-criteria recommendation systems have been widely researched. However, it is highly complicated to extract the preferred features of users and items from the data. To this end, subjective indicators, which indicate a user's priorities for personalized recommendations, should be derived. In this study, we propose a method for generating recommendation candidates by predicting multi-criteria ratings from reviews and using them to derive user priorities. Using a deep learning model based on convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM), multi-criteria prediction ratings were derived from reviews. These ratings were then aggregated to form a linear regression model to predict the overall rating. This model not only predicts the overall rating but also uses the training weights from the layers of the model as the user's priority. Based on this, a new score matrix for recommendation is derived by calculating the similarity between the user and the item according to the criteria, and an item suitable for the user is proposed. The experiment was conducted by collecting the actual "TripAdvisor" dataset. For performance evaluation, the proposed method was compared with a general recommendation system based on singular value decomposition. The results of the experiments demonstrate the high performance of the proposed method.

Electrochemical Catalysts Test for Nano Pt Particles on Carbon Support Synthesized by a Polyol Process Parameter Control (폴리올 공정 제어에 의한 탄소기반 나노 Pt 촉매 담지 특성 평가)

  • Chae Lin Moon;Jin Woo Bae;Soon Mok Choi
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.36 no.2
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    • pp.164-169
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    • 2023
  • Nano Pt particles were dispersed on carbon-based supports by a polyol process for a catalyst application in a polymer electrolyte fuel cell. We tried to optimize the effect of pH on the electrostatic forces between the support and the Pt colloids. We investigated the relationship among the surface charges on the carbon support, the solution pH, and the concentration of a glycolate, and the Pt particle size. The produced catalyst with nano Pt particles on the support was evaluated by the long-term cyclic voltammetry (CV) performance test and compared with the results from a commercial catalyst. Our experimental results reveal that the pH-control can modify the particle size distribution and the dispersion of the nano Pt particles. This resulted in a cost-effective method for the synthesis of highly Pt loaded Pt/C catalysts for fuel cells better than a commercial catalyst system.

Performance Evaluation of ECG Compression Algorithms using Classification of Signals based PQSRT Wave Features (PQRST파 특징 기반 신호의 분류를 이용한 심전도 압축 알고리즘 성능 평가)

  • Koo, Jung-Joo;Choi, Goang-Seog
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.4C
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    • pp.313-320
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    • 2012
  • An ECG(Electrocardiogram) compression can increase the processing speed of system as well as reduce amount of signal transmission and data storage of long-term records. Whereas conventional performance evaluations of loss or lossless compression algorithms measure PRD(Percent RMS Difference) and CR(Compression Ratio) in the viewpoint of engineers, this paper focused on the performance evaluations of compression algorithms in the viewpoint of diagnostician who diagnosis ECG. Generally, for not effecting the diagnosis in the ECG compression, the position, length, amplitude and waveform of the restored signal of PQRST wave should not be damaged. AZTEC, a typical ECG compression algorithm, is validated its effectiveness in conventional performance evaluation. In this paper, we propose novel performance evaluation of AZTEC in the viewpoint of diagnostician.

A Study on the Development and Application of Performance Evaluation Criteria for Co-op Programs in Universities: Focused on the Case of KOREATECH (대학 장기현장실습 프로그램의 성과평가지표 개발 및 적용에 관한 연구 : 한국기술교육대학교의 사례)

  • Oh, Chang-Heon;Om, Kiyong
    • Korean Management Science Review
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    • v.32 no.4
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    • pp.155-173
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    • 2015
  • Koreatech has adopted a long-term co-op program called IPP (Industry Professional Practice) to address problems in higher education of Korea since 2012, but it was anticipated to face many difficulties in implementing the program due to lack of relevant experiences in Korea. In this regard, a performance evaluation scheme was urgently required to judge the effectiveness of the Co-op program and improve the operational efficiency at the same time. This study aimed to develop comprehensive performance evaluation criteria for the co-op programs on the basis of Kirkpatrick's four-level performance evaluation model for training programs, and apply it to a real Co-op operation to test its feasibility. For this purpose, thorough review on the training program evaluation literature and in-depth analyses of overseas cases of co-op performance evaluation were conducted. Then, a set of Co-op performance evaluation criteria was developed and applied to the Koreatech's Co-op operation in 2013. Two Co-op student questionnaire surveys were administered before and after Co-op terms to measure students' reactions to the Co-op program (Level 1) and changes in participating students' attitudes and competencies (Level 2). In addition, employment rates of Co-op participating and non-participating students were compared (Level 4). The analysis findings showed that participating students were quite satisfied with their jobs and companies, and the Co-op program was effective to a certain degree at enhancing non-major competencies and attitudes to occupation of students. Together, the employment rate of Co-op participants, particularly in small- and medium-sized companies, grew significantly in comparison with that of non-participants. In the last part, several directions for improving the effectiveness of the Co-op programs were discussed.

Derivation of Engineered Barrier System (EBS) Degradation Mechanism and Its Importance in the Early Phase of the Deep Geological Repository for High-Level Radioactive Waste (HLW) through Analysis on the Long-Term Evolution Characteristics in the Finnish Case (핀란드 고준위방폐물 심층처분장 장기진화 특성 분석을 통한 폐쇄 초기단계 공학적방벽 성능저하 메커니즘 및 중요도 도출)

  • Sukhoon Kim;Jeong-Hwan Lee
    • The Journal of Engineering Geology
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    • v.33 no.4
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    • pp.725-736
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    • 2023
  • The compliance of deep geological disposal facilities for high-level radioactive waste with safety objectives requires consideration of uncertainties owing to temporal changes in the disposal system. A comprehensive review and analysis of the characteristics of this evolution should be undertaken to identify the effects on multiple barriers and the biosphere. We analyzed the evolution of the buffer, backfill, plug, and closure regions during the early phase of the post-closure period as part of a long-term performance assessment for an operating license application for a deep geological repository in Finland. Degradation mechanisms generally expected in engineered barriers were considered, and long-term evolution features were examined for use in performance assessments. The importance of evolution features was classified into six categories based on the design of the Finnish case. Results are expected to be useful as a technical basis for performance and safety assessment in developing the Korean deep geological disposal system for high-level radioactive waste. However, for a more detailed review and evaluation of each feature, it is necessary to obtain data for the final disposal site and facility-specific design, and to assess its impact in advance.

Reliability Evaluation for Photovoltaic Modules (태양전지 모듈의 신뢰성 평가)

  • Tanaka, Hirokazu;Kim, Keun-Soo
    • Journal of the Microelectronics and Packaging Society
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    • v.19 no.2
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    • pp.1-5
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    • 2012
  • Long-term reliability of Si photovoltaic modules is a crucial issue for the cost-reduction on the power-supply system. To elevate this reliability, several environmental tests have been created as qualification and certification procedures. This paper gives an overview about recent researches of reliability tests for Si photovoltaic modules.