Realistic Visualization of Car Configurator Based On Unreal Engine 4(UE4)

Yiming Zhong,윤태수,이병천 한국인터넷방송통신학회 2022 International Journal of Internet, Broadcasting an Vol.14 No.1

The platform for displaying cars has been changing with the times. From the popularity of paper media to the rise of computer graphics, the improvement of technology has brought more space and possibilities to the automotive industry. Yiming Zhong proposed the workflow of car configurator through Unreal Engine 4 to implement the basic functions of configuration in 2021, according to Yiming Zhong's final presentation, there is still room to improve the realism of graphics and functionality of the car configurator. Therefore, in this paper we propose to upgrade the car shaders and lighting environments according to the real-world physics and add multi-scenes switching function to car configurator. However the multi-scenes switching function also brings a large amount of data, which leads to the problem of display lag. At the end of the paper, we use the level of details(LOD) process to reduce the amount of data for real-time computing in Unreal Engine 4 and the increase of frames per second(FPS) values verifies the feasibility of our optimization solution.

Transcriptome Analysis of Early Responsive Genes in Rice during Magnaporthe oryzae Infection

Yiming Wang,Soon Jae Kwon,Jingni Wu,최재영,이용환,Ganesh Kumar Agrawal,Shigeru Tamogami,Randeep Rakwal,Sang Ryeol Park,김범기,정기홍,강규영,김상곤,김선태 한국식물병리학회 2014 Plant Pathology Journal Vol.30 No.4

Rice blast disease caused by Magnaporthe oryzae is oneof the most serious diseases of cultivated rice (Oryzasativa L.) in most rice-growing regions of the world. In order to investigate early response genes in rice, weutilized the transcriptome analysis approach using a300 K tilling microarray to rice leaves infected withcompatible and incompatible M. oryzae strains. Priorto the microarray experiment, total RNA was validatedby measuring the differential expression of rice defenserelatedmarker genes (chitinase 2, barwin, PBZ1, andPR-10) by RT-PCR, and phytoalexins (sakuranetinand momilactone A) with HPLC. Microarray analysisrevealed that 231 genes were up-regulated (>2 foldchange, p < 0.05) in the incompatible interaction comparedto the compatible one. Highly expressed genes were functionally characterized into metabolic processesand oxidation-reduction categories. The oxidativestress response was induced in both early and laterinfection stages. Biotic stress overview from MapMananalysis revealed that the phytohormone ethylene aswell as signaling molecules jasmonic acid and salicylicacid is important for defense gene regulation. WRKYand Myb transcription factors were also involved in signaltransduction processes. Additionally, receptor-likekinases were more likely associated with the defenseresponse, and their expression patterns were validatedby RT-PCR. Our results suggest that candidate genes,including receptor-like protein kinases, may play a keyrole in disease resistance against M. oryzae attack

Adaptive Stabilization of Feedforward Time-delay Systems with Uncertain Output Equation

Yiming Shao,Xianglei Jia,Wenhui Liu,Guobao Liu 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.4

In this work, the problem of global adaptive stabilization is solved by output feedback for a family of feedforward nonlinear time-delay systems with uncertain output equation and unknown growth rate. To deal with system uncertainty, a low-gain observer incorporating with novel adaptive gain is first proposed. Next, via output feedback, an adaptive delay-free controller is constructed by combining scaling change with backstepping algorithm. Compared with existing results, the controller proposed is capable of handling both uncertain output equation and unknown delay. With the aid of Lyapunov-Krasovskii functional and Barbalat ˘ ’s lemma, it is shown that the state and its estimate converge asymptotically to zero, and the adaptive gain is bounded. Furthermore, by numerical simulations, the usefulness of the control scheme is illustrated.

Biotic Stress-Responsive Rice Proteome: An Overview

Yiming Wang,김상곤,김선태,Ganesh Kumar Agrawal,Randeep Rakwal,강규영 한국식물학회 2011 Journal of Plant Biology Vol.54 No.4

Biotic stresses affect the plant growth, seed quality, and crop yield. The monocot model rice crop plant is no exception and is affected by a variety of biotic stress factors. High-throughput proteomics approaches are being applied in rice for the past several years to exploit better understanding the biotic stresses-responsive regulatory mechanisms. A large number of proteins responsive to biotic stresses, including pathogens and herbivores, have been cataloged. Cataloged proteins mainly belong to functional categories into metabolism, energy, defense mechanisms, and signaling. To date, majority of these proteins have not been functionally characterized yet,except the pathogen-related 10 protein, PBZ1. This review will briefly summarize and discuss: (1) the proteomicsbased investigation of biotic stress-responsive proteins in rice and (2) increasing importance of proteomics approach in defense biology and engineering the next-generation rice/crop plants.

Self-Adaptive Power Flow Optimization Method for Multi-Terminal SNOP Considering the Difference of Risk of Node Voltage beyond Limit

Yiming Xu,Zhiqiang Wang,Zheng Fang,Sichao Xun,Guirong Hu,Yusheng Shen,Hongyi Xiao,Dongning Wu 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.5

Soft Normally Open Point (SNOP) is a power electronic device used widely in power distribution network. It can solve many problems by adjusting reactive power compensation and active power transmission. The uncertainty and fluctuation of distributed generation (DG) may cause many problems to the distribution network. In order to balance the safety and economy in power flow optimization better, a self-adaptive power flow optimization method for active distribution network with multi-terminal SNOP considering difference of the risk of node voltage beyond limit is put forward. It takes both weighted voltage deviation and the network loss into objective function to construct the optimal operation model and mainly has two improvements: one is considering initial voltage deviation and real-time penetration of the DG to establish the self-adaptive weight model of the sum of voltage deviation in the objective function; the other is putting forward the weighting strategy for node voltage deviation which decided by the electrical distance, DG position and correlation between source output and load. Then, taking three improved IEEE33 node feeders as an example to verify the validity of the strategy. The results validate that the self-adaptive strategy can reduce the loss and improve the regulation of voltage better and is useful in distribution network under different penetration

Proteasome Inhibitors Affect Appressorium Formation and Pathogenicity of the Rice Blast Fungus, Magnaporthe oryzae

Yiming Wang,김상곤,Jingni Wu,Seok Yu,강규영,김선태 한국식물병리학회 2011 Plant Pathology Journal Vol.27 No.3

Previously, we identified the 20S proteasome α-subunit of Magnaporthe oryzae (M. oryzae) induced during appressorium formation, and detected an increase in multiple protein ubiquitination during the early appressorium formation process (Kim et al., 2004). In this study, we further attempted to determine whether the proteasome is involved in the appressorium formation of M. oryzae both in vitro and in planta, using proteasome inhibitors. A significant increase in 20S proteasome during fungal germination and appressorium formation was observed using Western blot analysis with 20S proteasome antibody, demonstrating that proteasomemediated protein degradation was involved in appressorium formation. Pharmacological analysis using proteasome inhibitors, MG-132, proteasome inhibitor I (PI) and proteasome inhibitor II (PII) revealed that germination and appressorium formation were delayed for 4 to 6 h on rice leaf wax-coated plates. Similarly, the treatment of proteasome inhibitors with fungal conidia on the rice leaf surface delayed appressorium formation and host infection processes as well. Additionally, fungal pathogenicity was strongly reduced at 4 days’ postfungal infection. These data indicated that the fungal 20S proteasome might be involved in the pathogenicity of M. oryzae by the suppression of germination and appressorium formation.

The Green Project of Data Management for Industrial Integration

Yiming Tian,Keyu Zhu,Ruoyu Pan,Changyong Liang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.6

An Efficient Block Index Scheme with Segmentation for Spatio-Textual Similarity Join

( Yiming Xiang ),( Yi Zhuang ),( Nan Jiang ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.7

Given two collections of objects that carry both spatial and textual information in the form of tags, a Spatio-Textual-based object Similarity JOIN (ST-SJOIN) retrieves the pairs of objects that are textually similar and spatially close. In this paper, we have proposed a block index-based approach called BIST-JOIN to facilitate the efficient ST-SJOIN processing. In this approach, a dual-feature distance plane (DFDP) is first partitioned into some blocks based on four segmentation schemes, and the ST-SJOIN is then transformed into searching the object pairs falling in some affected blocks in the DFDP. Extensive experiments on real and synthetic datasets demonstrate that our proposed join method outperforms the state-of- the-art solutions.

Optimal power consumption design of the amorphous silicon thin-film transistor gate driver circuit for 10.1-in. display panel manufacturing

Yiming Li,Chien-Hshueh Chiang,Yu-Yu Chen,Chieh-Yang Chen 한국정보디스플레이학회 2013 Journal of information display Vol.14 No.1

In this paper, the dynamic characteristics of the novel amorphous silicon thin-film transistor gate drive circuit applied on a 10.1-in. panel are optimized by using a multi-objective optimization method. Simultaneously, considering the multiple electrical characteristics of the tested circuit, the achieved results reveal interesting properties as well as good sensitivity of the optimized design parameters. The optimal specifications not only suppress the output ripple, but also reduce the dynamic and static power consumptions.

A modified transient gene expression protocol for subcellular protein localization analysis in rice

Yiming Wang,Jingni Wu,Sang Gon Kim,Ju Soon Yoo,Ravi Gupta,제병일,Jong‑Seong Jeon,Ki‑Hong Jung,Yu‑Jin Kim,KyuYoungKang,김선태 한국식물생명공학회 2020 Plant biotechnology reports Vol.14 No.1

Transient protein expression is a useful technique for investigating the protein localization and functional analysis of stress responses in rice plants. Currently, available methods for in planta transient expression analysis include Agrobacteriummediated transformation, protoplast transformation using polyethylene glycol or electroporation, and biolistic bombardment expression which have several disadvantages and are not well suited for the rice. Therefore, development of a method for rapid and efficient analysis of protein expression, subcellular localization, pathogen effector screening, and protein–protein interaction in rice is required. We developed a protocol for in planta gene expression analysis in sliced rice sheath cells by modifying and optimizing the biolistic particle bombardment technique. By obtaining thin sections (~400 μm) of rice sheath cells, auto-fluorescence from chlorophyll was eliminated. This system was validated through the localization of marker genes specifically expressed in nuclei, plasma membranes, and tonoplast. In addition, high transformation efficiency of 30% was achieved. Therefore, this protocol provides a new and rapid method for transient gene expression assay in rice. Protein secretion was examined in rice sheath cells using predicted secretory proteins from rice blast fungus, indicating that this method is applicable to plant–microbe interaction studies. The transient expression protocol established here is well optimized for protein localization, secretion, and host–pathogen protein interaction studies in rice. A typical experiment can be completed in three days.