• Title/Summary/Keyword: Model Efficiency

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A Quality Model of National R&D Projects based on ISO/IEC Standards (ISO/IEC 국제표준에 기반한 국가연구개발사업 품질측정모델에 관한 연구)

  • Song, Byeong-Sun;Lee, Jae-Sung;Rhew, Sung-Yul;Lee, Nam-Yong
    • Journal of Information Technology Services
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    • v.7 no.3
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    • pp.31-45
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    • 2008
  • The number of national research and development(R&D) projects have been continually increased, and it is necessary that the efficiency of investment of R&D projects have been improved during the last two decades. also the government has improved national R&D process and supporting tools for the projects. However, it is not enough to develop a quality model to evaluate the projects systematically. Therefore, a quality model for national R&D projects need to be revised. The quality model for the projects should be based on the global standard(ISO/IEC 9126). In this paper, the authors proposed a quality model for national R&D projects and took a case study for verification of the quality model. The quality model is defined in terms of functionality, reliability, usability, efficiency, portability and maintainability. Also, the authors suggest metrics for measuring the quality of products or services. finally, The productivity and quality of national R&D projects will be improved by the quality model.

Development and Application of Trimmed Body Model for the prediction of structure-borne noise at mid-frequencies (1kHz 이하 구조기인 소음예측을 위한 트림바디 모델의 개발과 적용)

  • Yoo, Ji Woo;Chae, Ki-Sang;Charpentier, A.;Lim, Jong Yun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.10a
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    • pp.362-367
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    • 2013
  • Vehicle CAE models for NVH predictions are largely developed in two schemes. One is FE models generally used for below 200 Hz problems such as booming noise, and the other is SEA models for high frequencies of more than 1 kHz, representatively related to sound packages. HMC has tried to develop a CAE model for 200-1000 Hz, so-called mid-frequency region, and this paper is one of the corresponding results. The CAE model is developed based on an FE model, and then FE elements at some areas are substituted with SEA elements to reduce DOFs. SEA panels are described by modal density, radiation efficiency, stiffness and damping characteristics that are found from some numerical assessments. Sound packages are modeled similarly as a conventional SEA model. The CAE model developed in this manner, the hybrid model, was compared to experimental results. Predicted pressure and vibrational velo city generally show a good agreement. The developed CAE model and related technology are successfully being used in vehicle development process.

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Hyperparameter optimization for Lightweight and Resource-Efficient Deep Learning Model in Human Activity Recognition using Short-range mmWave Radar (mmWave 레이더 기반 사람 행동 인식 딥러닝 모델의 경량화와 자원 효율성을 위한 하이퍼파라미터 최적화 기법)

  • Jiheon Kang
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.6
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    • pp.319-325
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    • 2023
  • In this study, we proposed a method for hyperparameter optimization in the building and training of a deep learning model designed to process point cloud data collected by a millimeter-wave radar system. The primary aim of this study is to facilitate the deployment of a baseline model in resource-constrained IoT devices. We evaluated a RadHAR baseline deep learning model trained on a public dataset composed of point clouds representing five distinct human activities. Additionally, we introduced a coarse-to-fine hyperparameter optimization procedure, showing substantial potential to enhance model efficiency without compromising predictive performance. Experimental results show the feasibility of significantly reducing model size without adversely impacting performance. Specifically, the optimized model demonstrated a 3.3% improvement in classification accuracy despite a 16.8% reduction in number of parameters compared th the baseline model. In conclusion, this research offers valuable insights for the development of deep learning models for resource-constrained IoT devices, underscoring the potential of hyperparameter optimization and model size reduction strategies. This work contributes to enhancing the practicality and usability of deep learning models in real-world environments, where high levels of accuracy and efficiency in data processing and classification tasks are required.

Eco-efficiency Analysis of Organic Agriculture in Korea

  • Kim, Chang-Gil;Jeong, Hak-Kyun
    • Korean Journal of Organic Agriculture
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    • v.19 no.spc
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    • pp.87-91
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    • 2011
  • Eco-efficiency which is calculated by dividing economic productivity by the environmental load was made by synthesizing eco and efficiency from ecology and economy, proposed by World Business Council for Sustainable Development in 2000. Eco-efficiency by connection of resource efficiency with resource intensity is used as an indicator for evaluating green growth for minimizing the impact on the environment and achieving economic development as well by means of efficient use of resources. This research analyzes eco-efficiency with the case of organic agriculture promoted as a key green growth policy. Thirty questionnaires for farmers producing organic rice in Hongseong-gun, Choongcheongnam-do were used for the analysis. Eco-efficiency was measured by means of the amount of used nitrogen with respect to the amount of income, and was represented that organic agriculture was 32.0 higher than conventional agriculture. The analytical result of technical efficiency, using the (Data Envelopment Analysis (DEA) model showed that it is 0.765 which has a possibility of 21% in management improvement, and higher eco-efficiency was with higher technical efficiency. The analytical results showed that an organic agriculture contributes to green growth more than conventional agriculture. In addition, higher technical efficiency groups exhibited higher eco-efficiency indices.

Study on Relational Model of Scuba Diving Instructors' Expertise, Instructor Reliability and Instruction Efficiency (스쿠버다이빙 지도자의 전문성과 지도자신뢰 및 지도효율성의 관계모형 분석)

  • SO, Hoon;YOO, Hyun-Jo;HWANG, Young-Seong
    • Journal of Fisheries and Marine Sciences Education
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    • v.27 no.5
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    • pp.1436-1446
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    • 2015
  • This study aims to understand how scuba diving instructors' expertise, instructor reliability and instruction efficiency are related to each other. In order to achieve the research goal, the study used a multi-stage stratified cluster sampling method and collected valid samples from 400 individuals at age of 20 and older who were scuba diving in scuba diving clubs in Busan, Gyeongnam, Gyeongbuk, Jeonnam and Jeonbuk. The 400 valid samples were applied to the data analysis. The study used SPSS 21.0 for processing the gathered data via a frequency analysis, a reliability analysis and a correlation analysis and in order to verify the hypotheses, the study applied AMOS 21.0 and conducted a confirmatory factor analysis and a structure equation model analysis. Findings that the study had extracted are summarized as follows. First, the study confirmed that the scuba diving instructors' expertise has a positive effect on the instructor reliability. Second, the scuba diving instructors' expertise was reported to positively influence the instruction efficiency. Third, the results revealed that the scuba diving club members' reliability in the instructors has a positive influence on the instruction efficiency.

Design Analysis of Crystalline Silicon Solar Cell Using 1-Dimensional Modelling (1차원 모델링을 이용한 결정질 실리콘 태양전지의 디자인 해석)

  • Kim, Dong-Ho;Park, Sang-Wook;Cho, Eun-Chel
    • Korean Journal of Materials Research
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    • v.18 no.11
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    • pp.571-576
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    • 2008
  • The simulation program for solar cells, PC1D, was briefly reviewed and the device modeling of a multicrystalline Si solar cell using the program was carried out to understand the internal operating principles. The effects of design parameters on the light absorption and the quantum efficiency were investigated and strategies to reduce carrier recombination, such as back surface field and surface passivation, were also characterized with the numerical simulation. In every step of the process, efficiency improvements for the key performance characteristics of the model device were determined and compared with the properties of the solar cell, whose efficiency (20.3%) has been confirmed as the highest in multicrystalline Si devices. In this simulation work, it was found that the conversion efficiency of the prototype model (13.6%) can be increased up to 20.7% after the optimization of design parameters.

Eco-efficiency Analysis of Urban Agglomeration in the Middle Reaches of the Yangtze River

  • Chen, Minghui;Miao, Jianjun
    • The Journal of Industrial Distribution & Business
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    • v.10 no.1
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    • pp.9-17
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    • 2019
  • Purpose - Urban agglomeration construction is one of national strategic plans to accelerate the development of industrialization and urbanization in China, which has threatened the eco-environmental quality at the same time. This paper selected the urban agglomeration in the middle reaches of the Yangtze River as the research area. Research design, data, and methodology - The the slack-based measurement (SBM) model considering undesirable outputs is applied to measure the eco-efficiency of this urban agglomerations during 2006-2015. Results - The empirical results show that average eco-efficiency of the urban agglomeration in the middle reaches of the Yangtze River is 0.595. Regional ecological development is unbalanced. The highest eco-efficiency is recorded at Wuhan Metropolitan Area, and the lowest one is at the Changsha-Zhuzhou-Xiangtan City Group. Energy consumption and waste dust emissions are the key factors led to ecological inefficiency. Based on this, potentials for energy saving and waste dust reducing are calculated. Conclusions - Finally, this study provides policy implications targeted to promote the coordinating development of economy and eco-environment under the construction of urban agglomeration.

Efficiency Optimization Control of IPMSM Drive using SPI Controller (SPI 제어기를 이용한 IPMSM 드라이브의 효율최적화 제어)

  • Ko, Jae-Sub;Chung, Dong-Hwa
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.7
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    • pp.15-25
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    • 2011
  • This proposes an online loss minimization algorithm for series PI(SPI) based interior permanent magnet synchronous motor(IPMSM) drive to yield high efficiency and high dynamic performance over wide speed range. The loss minimization algorithm is developed based on the motor model. In order to minimize the controllable electrical losses of the motor and thereby maximize the operating efficiency, the d-axis armature current is controlled optimally according to the operating speed and load conditions. For vector control purpose, a SPI is used as a speed controller which enables the utilization of the reluctance torque to achieve high dynamic performance as well as to operate the motor over a wide speed range. Also, this paper proposes current control of model reference adaptive fuzzy controller(MFC), and estimation of speed using artificial neural network(ANN) controller. The proposed efficiency optimization control, SPI, MFC, ANN in this paper is applied to IPMSM drive system, the validity of this paper is proved by analyzing response characteristics in variety operating conditions.

Firing Offset Adjustment of Bio-Inspired DESYNC-TDMA to Improve Slot Utilization Performances in Wireless Sensor Networks

  • Kim, Kwangsoo;Shin, Seung-hun;Roh, Byeong-hee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.3
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    • pp.1492-1509
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    • 2017
  • The wireless sensor network (WSN) is a key technology to support the Internet of things (IoT) paradigm. The efficiency of the MAC protocol in WSN is very important to take scalability with restricted wireless resources. The DESYNC-TDMA has an advantage of simple distributed slot allocation inspired by nature, but there is a critical disadvantage of split slots by firing message. The basic split slot model has less efficiency for continuous packet transmitting because of wasting of the slots less than the packet size. In this paper, we propose a firing offset adjustment scheme to improve the efficiency of slot utilizations, which can manage the slot assigned to each node as a single large block, called the single slot model. The performance analysis models for both the existing and the proposed schemes are also derived. Experimental results show that the proposed method provide better efficiency of slot utilization than the existing schemes without any loss of the nature of the desynchronization.

Multi-criteria Decision Making Method for Developing Greenhouse Gas Technologies Strategically Considering Scale Efficiency: AHP/DEA CCR-I and BCC-I Integrated model Approach (규모의 경제성을 고려한 전략적 온실가스저감기술 개발을 위한 다기준의사결정기법: AHP/DEA CCR-I 및 BCC-I 혼합모형 적용)

  • Lee, Seong-Kon;Mogi, Gento;Kim, Jong-Wook
    • Transactions of the Korean hydrogen and new energy society
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    • v.19 no.6
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    • pp.552-560
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    • 2008
  • In 1997, Korean government established the National Energy and Resources Plan, which targeted from 1997 to 2005 with strategic energy technology development. At the end of 2005, Korean government built a New National Energy and Resources Plan preparing for upcoming 10 years from 2006 until 2015 based on energy technology trees comparing with the previous plan, which based on the energy R&D projects. In this research, we prioritize the relative preferences and efficiency by an AHP/DEA CCR-I and BCC-I integrated model approach considering scale efficiency for well focused R&D and efficiency of developing Greenhouse Gas technologies as an extended research from a view point of econometrics as an extended research.