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자동차 Door Trim에 적용되는 폴딩포켓 Effort에 관한 연구
지철욱(Chulwook Ji),전오환(Ohhwan Jeon),권영호(Youngho Kwon),김충윤(Chungyoon Kim),이동현(Donghyun Lee),지성호(Songho Ji) 한국자동차공학회 2008 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper shows that the mathematical relation-equation about the generated force when the folding-map - pocket in the door trim in the car body is worked and has an intension of optimal design it. Construction parts of the folding-map-pocket (oil damper, torsion coil spring, rubber damper, pocket weight, hinge) cause forces and frictions when the folding-map-pocket is working and relation-equations consider making it. This paper shows verification of the mathematical relation-equation through comparing with the measurement force take advantage of three cars that are GENESIS, GRANDUAR, VERACRUZ.
Ji, Jian,Jang, Mijeong,Ahn, Sunghyun,Kwon, Oheun,Chai, Minjae,Lee, Donghyun,Kim, Hyunsoo Professional Engineering Publishing Ltd 2015 Proceedings of the Institution of Mechanical Engin Vol. No.
<P>In this study, a macroslip detection method is proposed for a metal V-belt continuously variable transmission. The macroslip detection method was developed using the instantaneous periods of the primary pulley’s acceleration and the secondary pulley’s acceleration, which can be obtained from the existing speed sensors. To obtain the instantaneous periods of the accelerations of the pulleys in real time, a signal-processing method was developed on the basis of zero-cross detection. Using the instantaneous periods, the period difference is introduced, and a threshold value <I>b</I> is defined to evaluate the slip state. The characteristics of the period difference and <I>b</I> were investigated by a three-dimensional analysis, in which a three-dimensional model of the continuously variable transmission including the blocks, the bands and the pulleys was constructed, and the velocity of each element and the slip rate were obtained. From the simulation results, it was found that the period difference stays below the threshold value <I>b</I> in the microslip region and begins to increase over the threshold value <I>b</I> in the macroslip region. The macroslip detection method proposed in this study was validated by experiments, which showed that the method is effective for detecting the occurrence of macroslip, independently of the input torque and the speed ratio.</P>
A Fist-In-Class Small Molecule Targeting 17-Beta-Hydroxysteroid Dehydrogenase 13
( Ji Won Choi ),( Jin Woo Jung ),( Chanwoo Park ),( Yang Hun Tae ),( Seung-chul Lee ),( Jiyeon Park ),( Hyeim Jo ),( Seong-il Choi ),( Somyi Park ),( Donghyun Ko ),( Dong-kyu Kim ) 대한간학회 2021 춘·추계 학술대회 (KASL) Vol.2021 No.1
Humanized (SCID) Mice as a Model to Study human Leukemia
Ji Yoon Lee,Donghyun Curt Kim,Hee-Je Kim 대한의생명과학회 2015 Biomedical Science Letters Vol.21 No.2
A humanized mice (hu-mice) model is extremely valuable to verify human cell activity in vivo condition and is regarded as an important tool in examining multimodal therapies and drug screening in tumor biology. Moreover, hu-mice models that simply received human CD34<SUP>+</SUP> blood cells and tissue transplants are also overwhelmingly useful in immunology and stem cell biology. Because generated hu-mice harboring a human immune system have displayed phenotype of human CD45<SUP>+</SUP> hematopoietic cells and when played partly with functional immune network, it could be used to evaluate human cell properties in vivo. Although the hu-mice model does not completely recapitulate human condition, it is a key methodological factor in studying human hematological malignancies with impaired immune cells. Also, an advanced humanized leukemic mice (hu-leukemic-mice) model has been developed by improving immunodeficient mice. In this review, we briefly described the history of development on immunodeficient SCID strain mice for hu-and hu-leukemic-mice model for immunologic and tumor microenviromental study while inferring the potential benefits of hu-leukemic-mice in cancer biology.
( Donghyun Lee ),( Jae-hyun Park ),( Kwang-ho Kim ),( Jeong-sik Park ),( Ji-hwan Kim ),( Gil-jin Jang ),( Unsang Park ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.9
In this paper, maximum likelihood-based automatic lexicon generation using mixed-syllables is proposed for unlimited vocabulary voice interface for East Asian languages (e.g. Korean, Chinese and Japanese) in AI-assistant based interaction with mobile devices. The conventional lexicon has two inevitable problems: 1) a tedious repetition of out-of-lexicon unit additions to the lexicon, and 2) the propagation of errors during a morpheme analysis and space segmentation. The proposed method provides an automatic framework to solve the above problems. The proposed method produces a level of overall accuracy similar to one of previous methods in the presence of one out-of-lexicon word in a sentence, but the proposed method provides superior results with the absolute improvements of 1.62%, 5.58%, and 10.09% in terms of word accuracy when the number of out-of-lexicon words in a sentence was two, three and four, respectively.
( Donghyun Lee ),( Hosung Park ),( Soonshin Seo ),( Hyunsoo Son ),( Gyujin Kim ),( Ji-hwan Kim ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.3
Recurrent neural network (RNN) architectures have been used for language modeling (LM) tasks that require learning long-range word or character sequences. However, the RNN architecture is still suffered from unstable gradients on long-range sequences. To address the issue of long-range sequences, an attention mechanism has been used, showing state-of-the-art (SOTA) performance in all LM tasks. A differentiable neural computer (DNC) is a deep learning architecture using an attention mechanism. The DNC architecture is a neural network augmented with a content-addressable external memory. However, in the write operation, some information unrelated to the input word remains in memory. Moreover, DNCs have been found to perform poorly with low numbers of weight parameters. Therefore, we propose a robust memory deallocation method using a limited retention vector. The limited retention vector determines whether the network increases or decreases its usage of information in external memory according to a threshold. We experimentally evaluate the robustness of a DNC implementing the proposed approach according to the size of the controller and external memory on the enwik8 LM task. When we decreased the number of weight parameters by 32.47%, the proposed DNC showed a low bits-per-character (BPC) degradation of 4.30%, demonstrating the effectiveness of our approach in language modeling tasks.