• Title/Summary/Keyword: Multilevel analysis model

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Switching Frequency Reduction Method for Modular Multi-level Converter Utilizing Redundancy Sub-module (예비 서브모듈을 활용한 모듈형 멀티레벨 컨버터의 스위칭 주파수 저감 기법)

  • Lee, Yoon-Seok;Yoo, Seung-Hwan;Choi, Jong-Yun;Park, Yong-Hee;Han, Byung-Moon;Yoon, Young-Doo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.12
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    • pp.1640-1648
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    • 2014
  • This paper proposes a switching frequency reduction method for MMC (Modular Multilevel Converter) utilizing redundancy operation of sub-module, which can offer reduction of voltage harmonics and switching loss. The feasibility of proposed method was verified through computer simulations with PSCAD/EMTDC software. Based on simulation analysis, a hardware scaled-model of 10kVA, DC-1000V MMC was designed and manufactured in the lab. Various experiments were conducted to verify the feasibility of proposed method in the actual hardware system. The hardware scaled-model can be effectively utilized for analyzing the performance of MMC according to the modulation scheme and redundancy operation.

The 4th Industrial Revolution's Impact on Network Marketing - Focused on ABN Korea Case - (4차 산업혁명 시대 정보통신기술(ICT)이 가져온 네트워크 마케팅의 현재와 미래 - 한국암웨이 사례 연구 -)

  • Park, So-Jin;Oh, Chang-Gyu
    • The Journal of Information Systems
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    • v.26 no.4
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    • pp.379-400
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    • 2017
  • Purpose The purpose of this study is to investigate the effects of ICT on multilevel marketing organizations (MLMs) whose members are both salespeople and consumers. This study explores the effects of the latest ICT convergence on the direct selling, which is the oldest sales method, and suggests the direction for the development of network marketing. Therefore, we will propose the changes in direct sales brought by ICT and predict the future direction of network marketing in preparation for the 4th Industrial Revolution era. Design/methodology/approach Exploratory case study was the methodology selected for this paper. The case study enables the use of multiple methods for data collection and analysis. This study applies qualitative case-study methodology on Amway Korea, which is the top seller of MLM organizations, to better understand the impact of ICT. This study conducted an in-depth interview with four different levels of MLM members (e.g. membership, ruby, emerald, diamond) which are based on the qualification system of MLM organizations and observed their behaviors. Findings This study revealed that the ICT impact on network marketing organizations(MLMs) could be summarized as follows : new membership growth, easier communication with customers, increase in work efficiency, increase in organizational trust, change in educational environment, and increase in the use of social media. Based on the interview, we propose the changes of network marketing organizations in the fourth industrial revolution era and the future strategy of Amway Korea as follows: (1) retention of royal ABOs, (2) harmony with SMEs, (3) utilization of Big Data, (4) creation of IoT business model, and (5) construction of successful O2O business platform.

Switching pattern analysis and cell balancing of model predictive control based 9-level H-bridge multilevel converter (모델 예측 제어 기반 9레벨 H-bridge 멀티레벨 인버터 스위칭 패턴 분석 분석과 셀 밸런싱)

  • Kim, Igim;Park, Chan-bae;Kwak, Sang-shin
    • Proceedings of the KIPE Conference
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    • 2014.11a
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    • pp.121-122
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    • 2014
  • 멀티 레벨 인버터는 높은 출력 전압을 갖으며, 낮은 THD(Total harmonic distortion)를 요구하는 시스템에 적합하다. 그 중 cascaded H-brige 멀티레벨 인버터는 H-bridge 셀별 관리가 쉽고, 레벨 수를 증가시키기 쉽다는 장점 때문에 많이 이용되어 왔다. 본 논문에서는 cascaded H-bridge 인버터의 기존 PI (proportional integral) 제어 기반 PWM (pulse width modulation)기법의 스위칭 패턴과 모델 예측 제어의 스위칭 패턴을 비교하고 모델예측 제어 시 셀 별 스위칭 패턴 균형을 위한 방법을 제안한다.

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The Impact of Earthquake on Apartment Price - Focused on Gyeongju Earthquake Case in South Korea - (지진 발생이 아파트 가격에 미치는 영향 - 2016년 9월 12일 경주 지진 사례를 중심으로 -)

  • Yeom, Jae-Weon;Jung, Ju-Chul
    • Journal of Korea Planning Association
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    • v.54 no.1
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    • pp.148-158
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    • 2019
  • The purpose of this study is to analyze the impact of earthquake on apartment prices. Many studies have been done analyzing the relationship between natural hazards and residential property prices. Most studies have shown that natural hazards have an negative effect on residential property prices, but some studies have shown that natural hazards have an positive effect on residential property prices. These conflicting analysis result from the lack of considering natural hazard frequency at the analysis site. According to literature reviews risk avoidance tendency are already inherent in prices, thus distorting the relationship between natural hazards and prices. That is, in order to analyze the impact of natural hazards on residential property prices, analysis must be carried out in areas where there has not suffered natural hazard for a long time or where there has been no damage before. Nevertheless, previous studies analyzed areas frequently affected by natural hazards. Gyeongju has been recognized as a safe area from earthquake in the past, an 5.8 magnitude earthquake occurred in September 2016. Analysis results focusing on Gyeongju Earthquake case has shown that the earthquake has affected decrease of apartment prices in hazardous areas, and after earthquake apartment prices have risen over time.

Analysis of Determinants of Employment Retention Rate (고용유지율 결정요인 분석)

  • Lee, Sikyoon
    • Korean Journal of Labor Studies
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    • v.23 no.2
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    • pp.169-193
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    • 2017
  • This study analyzed the determinants that affect employment retention rate in order to diagnose dynamic employment stability in Korea. For this analysis, we constructed multi-level hierarchical data linking Workplace panel survey data and employment insurance job history data. And the determinants were analyzed using a multi-level analysis model suitable for these data. As result of the analysis, it is estimated that the employment stability is very low in Korea due to the widespread existence of the marginal sectors with low wage level and high level of nonstandard employment. In addition, the results of this analysis show that employment structure of Korea occupies considerable area of short-term employment where employment and unemployment are repeated, and overall employment stability is weak. This fact is likely to be a limiting factor for continued growth, as there is limited opportunity for skill development and skills formation at the corporate and individual levels. According to the results of this analysis, it is required to improve the quality of the employment structure for continuous growth and skill formation.

Relation between Resistance and Capacitance in Atomically Dispersed Pt-SiO2 Thin Films for Multilevel Resistance Switching Memory (Pt 나노입자가 분산된 SiO2 박막의 저항-정전용량 관계)

  • Choi, Byung Joon
    • Korean Journal of Materials Research
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    • v.25 no.9
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    • pp.429-434
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    • 2015
  • Resistance switching memory cells were fabricated using atomically dispersed Pt-$SiO_2$ thin film prepared via RF co-sputtering. The memory cell can switch between a low-resistance-state and a high-resistance-state reversibly and reproducibly through applying alternate voltage polarities. Percolated conducting paths are the origin of the low-resistance-state, while trapping electrons in the negative U-center in the Pt-$SiO_2$ interface cause the high-resistance-state. Intermediate resistance-states are obtained through controlling the compliance current, which can be applied to multi-level operation for high memory density. It is found that the resistance value is related to the capacitance of the memory cell: a 265-fold increase in resistance induces a 2.68-fold increase in capacitance. The exponential growth model of the conducting paths can explain the quantitative relationship of resistance-capacitance. The model states that the conducting path generated in the early stage requires a larger area than that generated in the last stage, which results in a larger decrease in the capacitance.

Development and Analysis of System Dynamics Model for Predicting on the Effect of Patient Transfer Counseling with Nurses (간호사의 전원상담 효과 예측을 위한 시스템다이내믹스 모델 개발 및 분석)

  • Byun, Hye Min;Yun, Eun Kyoung
    • Journal of Korean Academy of Nursing
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    • v.48 no.5
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    • pp.554-564
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    • 2018
  • Purpose: This study aimed to construct a management model for patient transfer in a multilevel healthcare system and to predict the effect of counseling with nurses on the patient transfer process. Methods: Data were collected from the electronic medical records of 20,400 patients using the referral system in a tertiary hospital in Seoul from May 2015 to April 2017. The data were analyzed using system dynamics methodology. Results: The rates of patients who were referred to a tertiary hospital, continued treatment, and were terminated treatment at a tertiary hospital were affected by the management fee and nursing staffing in a referral center that provided patient transfer counseling. Nursing staffing in a referral center had direct influence on the range of increase or decrease in the rates, whereas the management fee had direct influence on time. They were nonlinear relations that converged the value within a certain period. Conclusion: The management fee and nursing staffing in a referral center affect patient transfer counseling, and can improve the patient transfer process. Our findings suggest that nurses play an important role in ensuring smooth transitions between clinics and hospitals.

Novel Method for Circulating Current Suppression in MMCs Based on Multiple Quasi-PR Controller

  • Qiu, Jian;Hang, Lijun;Liu, Dongliang;Geng, Shengbao;Ma, Xiaonan;Li, Zhen
    • Journal of Power Electronics
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    • v.18 no.6
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    • pp.1659-1669
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    • 2018
  • An improved circulating current suppression control method is proposed in this paper. In the proposed controller, an outer loop of the average capacitor voltage control model is used to balance the sub-module capacitor voltage. Meanwhile, an individual voltage balance controller and an arm voltage balance controller are also used. The DC and harmonic components of the circulating current are separated using a low pass filter. Therefore, a multiple quasi-proportional-resonant (multi-quasi-PR) controller is introduced in the inner loop to eliminate the circulating harmonic current, which mainly contains second-order harmonic but also contains other high-order harmonics. In addition, the parameters of the multi-quasi-PR controller are designed in the discrete domain and an analysis of the stability characteristic is given in this paper. In addition, a simulation model of a three-phase MMC system is built in order to confirm the correctness and superiority of the proposed controller. Finally, experiment results are presented and compared. These results illustrate that the improved control method has good performance in suppressing circulating harmonic current and in balancing the capacitor voltage.

An Exploratory Methodology for Longitudinal Data Analysis Using SOM Clustering (자기조직화지도 클러스터링을 이용한 종단자료의 탐색적 분석방법론)

  • Cho, Yeong Bin
    • Journal of Convergence for Information Technology
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    • v.12 no.5
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    • pp.100-106
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    • 2022
  • A longitudinal study refers to a research method based on longitudinal data repeatedly measured on the same object. Most of the longitudinal analysis methods are suitable for prediction or inference, and are often not suitable for use in exploratory study. In this study, an exploratory method to analyze longitudinal data is presented, which is to find the longitudinal trajectory after determining the best number of clusters by clustering longitudinal data using self-organizing map technique. The proposed methodology was applied to the longitudinal data of the Employment Information Service, and a total of 2,610 samples were analyzed. As a result of applying the methodology to the actual data applied, time-series clustering results were obtained for each panel. This indicates that it is more effective to cluster longitudinal data in advance and perform multilevel longitudinal analysis.

Prediction Models for Solitary Pulmonary Nodules Based on Curvelet Textural Features and Clinical Parameters

  • Wang, Jing-Jing;Wu, Hai-Feng;Sun, Tao;Li, Xia;Wang, Wei;Tao, Li-Xin;Huo, Da;Lv, Ping-Xin;He, Wen;Guo, Xiu-Hua
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.10
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    • pp.6019-6023
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    • 2013
  • Lung cancer, one of the leading causes of cancer-related deaths, usually appears as solitary pulmonary nodules (SPNs) which are hard to diagnose using the naked eye. In this paper, curvelet-based textural features and clinical parameters are used with three prediction models [a multilevel model, a least absolute shrinkage and selection operator (LASSO) regression method, and a support vector machine (SVM)] to improve the diagnosis of benign and malignant SPNs. Dimensionality reduction of the original curvelet-based textural features was achieved using principal component analysis. In addition, non-conditional logistical regression was used to find clinical predictors among demographic parameters and morphological features. The results showed that, combined with 11 clinical predictors, the accuracy rates using 12 principal components were higher than those using the original curvelet-based textural features. To evaluate the models, 10-fold cross validation and back substitution were applied. The results obtained, respectively, were 0.8549 and 0.9221 for the LASSO method, 0.9443 and 0.9831 for SVM, and 0.8722 and 0.9722 for the multilevel model. All in all, it was found that using curvelet-based textural features after dimensionality reduction and using clinical predictors, the highest accuracy rate was achieved with SVM. The method may be used as an auxiliary tool to differentiate between benign and malignant SPNs in CT images.