• Title/Summary/Keyword: Virtual plant

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Phytoplasma Infection could Affect Chemical Composition of Artemisia sieberi

  • Hemmati, Chamran;Nikooei, Mehrnoosh
    • The Plant Pathology Journal
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    • v.35 no.3
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    • pp.274-279
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    • 2019
  • Artemisia sieberi showing symptoms resembling those caused by phytoplasma were observed in Geno Mountain, Hormozgan Province, Iran, and were examined for phytoplasma presence by PCR assays. In addition, the essential oils hydrodistilled from the aerial parts of phytoplasma-infected and healthy plants have been analyzed and compared by GC and GC/MS. Phylogenetic and virtual RFLP analysis of the 16S rRNA gene sequences revealed that the phytoplasma associated with A. sieberi witches' broom (AsWB) was a strain of 'Candidatus Phytoplasma aurantifolia'. The presence of the disease, however, induced a further enrichment (from 4.9 to 45.2%, a relative increase of 90%) of the entire monoterpene class as compared to the abundance in healthy samples. Conversely, a matching decrease in monoterpenoid (from 48.7 to 2%, a relative decrease of 90.2%) was observed in the infected plants. Besides the first report of phytoplasma infection of A. sieberi, the changes of its essential oils are reported.

Nuclear Decommissioning Simulation Using Virtual·Augmented Reality (가상·증강 현실을 이용한 원전 작업에서의 활용 방안)

  • Kang, Dong-Yoon;Kim, Sung-Hyun;Kim, Hee-Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.566-568
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    • 2022
  • Metaverse is the most emerging technology due to the recent 4th industry and the non-face-to-face society of Corona 19. As one of the core technologies of Metaverse, VR·AR technology is being industrialized in various fields such as medical care, education, and service. Among them, education and training are the most important fields of application, and nuclear power plant operation also requires this technology. In this paper, we will look at the fields of application of VR·AR technology in existing industries and suggest a plan for use in nuclear power plant work.

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360-degree content-based plant finance transaction service (360도 콘텐츠 기반 식물 재테크 상거래서비스)

  • Yoo, Seong-Hyun;Yang, Gun-Woo;Choi, Yae-Chan;Kim, Eun-Ji;Kim, Byung-Wan;Lee, Byong-Kwon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.517-518
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    • 2022
  • 본 논문에서는 360도 카메라기반 식물 전자 상거래서비스 어플을 제안한다. 식물을 이용한 재테크 일명 "식테크"라고 불리는 재테크가 증가하고 있는 추세이다. 현재 다른 중고거래 플랫폼에서는 본 거래가 제안되어 있어 거래가 어렵고 일종의 재테크의 개념이라 전문적으로 거래하기 힘들다는 문제점이 있다. 이를 해결하기 위해 본 프로젝트에서는 실시간 차트를 활용하여 식물 거래가를 알려주고, 360도 카메라와 VR을 활용하여 식물의 육성일기 공유하여 어플 사용자들의 커뮤니티 장소가 되고, 은퇴 후 귀농을 하는 사용자에게는 식물을 잘 기르는 법의 정보를 알 수 있는 다방면에서 활용이 가능하여 여러 문제를 효율적으로 해결할 것으로 기대된다.

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Cost Estimation Model for Introduction to Virtual Power Plants in Korea (국내 가상발전소 도입을 위한 비용 추정 모델)

  • Park, Hye-Yeon;Park, Sang-Yoon;Son, Sung-Yong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.2
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    • pp.178-188
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    • 2022
  • The introduction of virtual power plants is actively being discussed to solve the problem of grid acceptability caused by the spread of distributed renewable energy, which is the key to achieving carbon neutrality. However, a new business such as virtual power plants is difficult to secure economic feasibility at the initial stage of introduction because it is common that there is no compensation mechanism. Therefore, appropriate support including subsidy is required at the early stage. But, it is generally difficult to obtain the cost model to determine the subsidy level because of the lack of enough data for the new business model. In this study, a survey of domestic experts on the requirements, appropriate scale, and cost required for the introduction of virtual power plants is conducted. First, resource composition scenarios are designed from the survey results to consider the impact of the resource composition on the cost. Then, the cost estimation model is obtained using the individual cost estimation data for their resource compositions using logistic regression analysis. In the case study, appropriate initial subsidy levels are analyzed and compared for the virtual power plants on the scale of 20-500MW. The results show that mid-to-large resource composition cases show 29-51% lower cost than small-to-large resource composition cases.

A Development of VPP Platform for the Efficient Utilization of Distributed Renewable Energy Resources (분산 재생에너지의 효율적 활용을 위한 가상발전소(VPP) 플랫폼 개발에 관한 연구)

  • Cho, Young-Hyeok;Baek, Seung-Yup;Choi, Won-Yong;Jeong, Dae-Yul
    • The Journal of Information Systems
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    • v.27 no.2
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    • pp.95-114
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    • 2018
  • Purpose The recent concern over environmental problems such as greenhouse gas emission and fine dust contributes increasing interest in renewable energies. However the intrinsic characteristics of renewable energies, intermittent and stochastic generation, might cause serious problems to the stability and controllability of power grid. Therefore countermeasures such as virtual power plant (VPP) must be prepared in advance of the spread of uncontrollable distributed renewable energy resources to be one of major energy sources. Design/methodology/approach This study deals with the design concept of the VPP platform. we proposed as a technology solution for achieving the stability of power grid by guaranteeing a single power profile combining multiple distributed power sources with ICT. The core characteristics of VPP should be able to participate in the grid operation by responding to operation instructions from the system operator, KPX, as well as the wholesale electricity market. Findings Therefore this study includes energy storage device(ESS) as a controllable component as well as renewable energy resources such as photovoltaic and wind power generation. Based on this configuration, we discussed core element technologies of VPP and protype design of VPP solution platform according to system requirements. In the proposed solution platform, UX design for the integrated control center and brokerage system were included as well as ancillary service function to respond to KPX's operation instruction with utilizing the capability of ESS. In addition, a simulator was suggested to verify the VPP operations.

Deep Learning Based Short-Term Electric Load Forecasting Models using One-Hot Encoding (원-핫 인코딩을 이용한 딥러닝 단기 전력수요 예측모델)

  • Kim, Kwang Ho;Chang, Byunghoon;Choi, Hwang Kyu
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.852-857
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    • 2019
  • In order to manage the demand resources of project participants and to provide appropriate strategies in the virtual power plant's power trading platform for consumers or operators who want to participate in the distributed resource collective trading market, it is very important to forecast the next day's demand of individual participants and the overall system's electricity demand. This paper developed a power demand forecasting model for the next day. For the model, we used LSTM algorithm of deep learning technique in consideration of time series characteristics of power demand forecasting data, and new scheme is applied by applying one-hot encoding method to input/output values such as power demand. In the performance evaluation for comparing the general DNN with our LSTM forecasting model, both model showed 4.50 and 1.89 of root mean square error, respectively, and our LSTM model showed high prediction accuracy.

A Study on Determination of VPP Cloud Charges (VPP 클라우드 요금 산정에 관한 연구)

  • Lim, Chung-Hwan;Kim, Dong-Sub;Moon, Chae-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.2
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    • pp.299-308
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    • 2022
  • Recent, energy transition policies are driving to increase in the number of small photovoltaic(PV) generators. It is difficult for system operators to accurately anticipate the amount of power generated from such small scale PV generation, and this may disrupt dispatch schedules and result in an increase in cost. The need for a Virtual Power Plant(VPP) is emerging as a way of resolving these problems, as it would integrate small-scale PV plants and eliminate uncertainty about the amount of power generated, control voltage, and provide power reserves. In this paper, the cost evaluation methods are described for determination of VPP cloud charges both Net Present Value(NPV) method and Profitability Index(PI) method, the calculated outcomes of the two types of cost evaluation methods are presented in detail. It seems we secure profitability as we get 1.22 of profitability index from calculation results, it may be attractive for the aggregator as NPV is enough for satisfying profitability.

A DIRECT INVERSE-BASED CROSS-TALK CANCELLATION METHOD FOR STEREO AUDIO SYSTEMS (직접 역필터 설계법을 이용한 스테레오 재생시스템의 Cross-talk 제거)

  • Kim, Sang-Myeong;Dogeun Han;Semyung Wang
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.05a
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    • pp.559-564
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    • 2002
  • Cross-talk cancellation, inverse filter design or deconvolution in a generic term, is a vital process for a virtual sound realization in the stereo sound reproduction system. Most, if not all, of the design algorithms available for the inverse filter are based on a linearized model of the real physical plant. The result of such a plant-based design method, which may be referred to here as the indirect method, is biased due to both modelling and inversion errors. This paper presents a novel direct cross-talk cancellation method that may be free from the inversion error. The direct method can directly models the inverse filter by a suitable rearrangement of the input and output ports of the original plant so that no inversion is required here. Advantages are discussed with various experiments in an anechoic chamber using a PC soundcard. Binaural reproduction tests conducted showed that the conventional indirect method yields about 8 % reproduction performance error on both ear positions, whereas the direct method offers about 3 %.

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A study of the kinematic characteristic of a coupling device between the buffer system and the flexible pipe of a deep-seabed mining system

  • Oh, Jae-Won;Lee, Chang-Ho;Hong, Sup;Bae, Dae-Sung;Cho, Hui-Je;Kim, Hyung-Woo
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.6 no.3
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    • pp.652-669
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    • 2014
  • This paper concerns the kinematic characteristics of a coupling device in a deep-seabed mining system. This coupling device connects the buffer system and the flexible pipe. The motion of the buffer system, flexible pipe and mining robot are affected by the coupling device. So the coupling device should be considered as a major factor when this device is designed. Therefore, we find a stable kinematic device, and apply it to the design coupling device through this study. The kinematic characteristics of the coupling device are analyzed by multi-body dynamics simulation method, and finite element method. The dynamic analysis model was built in the commercial software DAFUL. The Fluid Structure Interaction (FSI) method is applied to build the deep-seabed environment. Hydrodynamic force and moment are applied in the dynamic model for the FSI method. The loads and deformation of flexible pipe are estimated for analysis results of the kinematic characteristics.

Morphometric analysis of the Daphne kiusiana complex (Thymelaeaceae) using digitized herbarium specimens

  • KIM, Yoon-Su;OH, Sang-Hun
    • Korean Journal of Plant Taxonomy
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    • v.52 no.3
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    • pp.144-155
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    • 2022
  • Daphne kiusiana is an evergreen shrub with dense head-like umbels of white flowers distributed in southern Korea, Japan, China, and Taiwan. Plants in China and Taiwan are recognized as var. atrocaulis by having a dark purple stem, elliptic leaves, and persistent bracts. Recently, plants on Jejudo Island were segregated as a separate species, D. jejudoensis, given their elliptic leaves with an acuminate apex, a long hypanthium and sepals, and a glabrous hypanthium. Morphological variations of three closely related taxa, the D. kiusiana complex, were investigated across the distributional range to clarify the taxonomic delimitation of members of the complex. Twelve characters of the leaf and flower were measured from digitized herbarium specimens using the image analysis program ImageJ and were included in a morphometric analysis, the results of which indicate that the level of variation in the characters is very high. The results of a principal component analysis weakly separated D. jejudoensis from D. kiusiana according to their floral characteristics, such as a longer, glabrous hypanthium, and larger sepals. However, some individuals of D. kiusiana, particularly those from Bigeumdo Island, were included in D. jejudoensis. Recognition of D. kiusiana var. atrocaulis based on the leaf shape was not supported in the analysis, and D. jejudoensis may be recognized as a variety of D. kiusiana. Our morphometric analysis shows that digitized images of herbarium specimens could be useful and an additional method by which to investigate more diverse specimens.