Is it innovation or conservation?

Xiao, Rui,Kim, Namsoon(김남순) 한남대학교 교육연구소 2015 교육연구 Vol.22 No.-

그 동안 외국어 교육에서 과업중심 교수법 (Task-based Approach)은 학습자들의 의사소통 능력을 증진시킬 수 있는 매우 효과적인 교수법으로 널리 사용되어 왔다. 학습자 중심의, 진정성 있는 의사소통, 언어의 사용 경험을 중시하는 과업중심 교수법은 과업의 목적을 달성하기 위하여, 학습자가 자연스럽게 목표언어를 사용하면서 자연스럽게 의사소통 능력을 증진시킬 수 있는 장점이 있다. 이 연구는 외국어로서의 중국어교육 분야에서 과업중심 교수법과 관련된 연구현황을 분석하여 그 타당성과 효용성을 조사하고, 장래 방향을 조명하는 것을 목표로 하고 있다. 연구 대상은 중국에 소재하는 대학에서 2000년부터 2015년까지 외국어로서의 중국어교육 분야에서 출간된--과업중심 교수법울 다룬--대학원 학위논문이며, 이와 관련하여, 총 35편의 논문이 수집되고 분석되었다. 연구결과, 대다수의 논문들이 과업중심 방법의 이론과 실천 방향을 소개하는 데에 초점을 맞추고 있었고, 효용성을 증명할 수 있는 질적 및 양적 연구는 극소수에 불과하였다. 앞으로도 외국어로서의 중국어 교육에서 학습자들의 의사소통 능력을 증진시킬 수 있는 효과적인 과업중심 교수법이 더욱 요구되고 있다. 이에 따라서, 과업중심 교수법의 효과성을 증명할 수 있는 더욱 많은 질적 및 양적 연구가 개발되고, 그에 따른 후속 연구가 필요하다. Task-based approach (TBA), a teaching approach widely used in second language teaching and learning, intends to develop students’ communicative ability in their target language. In this student-centered language teaching, students are stimulated to learn by doing and using their target language through fulfilling authentic communicative tasks. The purposes of this study are to examine the trends of using TBA in Chinese language teaching and to provide insights to the teaching of Chinese language for future use. Total of thirty-five graduate theses were examined in the study. Results of the study indicated that the previous research has dealt mostly with theories and introduction of TBA to be used in the field of Chinese language teaching. It was suggested that more research studies are needed through both quantitative and qualitative research studies.

Characterization of the bovine endogenous retrovirus beta3 genome.

Xiao, Rui,Kim, Juhyun,Choi, Hojun,Park, Kwangha,Lee, Hoontaek,Park, Chankyu Korean Society for Molecular Biology 2008 Molecules and cells Vol.25 No.1

<P>We recently used degenerate PCR and locus-specific PCR methods to identify the endogenous retroviruses (ERV) in the bovine genome. Using the ovine ERV classification system, the bovine ERVs (BERVs) could be classified into four families. Here, we searched the most recently released bovine genome database with the partial nucleotide sequence of the pro/pol region of the BERV beta3 family. This allowed us to obtain and analyze the complete genome of BERV beta3. The BERV beta3 genome is 7666 nucleotides long and has the typical retroviral organization, namely, 5'-long terminal repeat (LTR)-gag-pro-pol-env-LTR-3'. The deduced open reading frames for gag, pro, pol and env of BERV Beta en- code 507, 271, 879 and 603 amino acids, respectively. BERV beta3 showed little amino acid similarity to other betaretroviruses. Phylogenetic analysis showed that it clusters with HERV-K. This is the first report describing the genetic structure and sequence of an entire BERV.</P>

Identification and Classification of Endogenous Retroviruses in Cattle

Xiao, Rui,Park, Kwangha,Lee, Hoontaek,Kim, Jinhoi,Park, Chankyu American Society for Microbiology 2008 Journal of virology Vol.82 No.1

<B>ABSTRACT</B><P>The aim of this study was to identify the endogenous retrovirus (ERV) sequences in a bovine genome. We subjected bovine genomic DNA to PCR with degenerate or ovine ERV (OERV) family-specific primers that aimed to amplify the retroviral <I>pro/pol</I> region. Sequence analysis of 113 clones obtained by PCR revealed that 69 were of retroviral origin. On the basis of the OERV classification system, these clones from degenerate PCR could be divided into the β3, γ4, and γ9 families. PCR with OERV family-specific primers revealed an additional ERV that was classified into the bovine endogenous retrovirus (BERV) γ7 family. In conclusion, here we report the results of a genome scale study of the BERV. Our study shows that the ERV family expansion in cattle may be somewhat limited, while more diverse family members of ERVs have been reported from other artiodactyls, such as pigs and sheep.</P>

Structural Characterization of the Genome of BERV gamma4, the Most Abundant Endogenous Retrovirus Family in Cattle.

Xiao, Rui,Park, Kwangha,Oh, Younshin,Kim, Jinhoi,Park, Chankyu Korean Society for Molecular Biology 2008 Molecules and cells Vol.26 No.4

<P>The genome of replication-competent BERV gamma4 provirus, which is the most abundant ERV family in the bovine genome, was characterized in detail. The BERV gamma4 genome showed that BERV gamma4 harbors 8576 nucleotides and has the typical 5'-long terminal repeat (LTR)-gag-pro-pol-env-LTR-3'retroviral organization with a long leader region positioned before the gag open reading frame. Multiple sequences analysis showed that the nucleotide difference between 5' and 3' LTRs was 4.2% (mean value 0.042) in average, suggesting that the provirus formed at most 13.3 million years ago. Gag separated by a stop codon from pro-pol in the same reading frame, while env resides in another reading frame lacking of a functional surface domain. According to the current bovine genome sequence assembly, the full-length BERV gamma4 provirus sequences were only found in the chromosomes 1, 2, 6, 10, 15, 23, 26, 28, X, and unassigned, although the partial sequences almost evenly distributed in the entire bovine genome. This is the first detailed study describing the genome structure of BERV gamma4, the most abundant ERV family present in bovine genome. Combined with our recent reports on characterization of ERVs in bovine, this study will contribute to illuminate ERVs in the cattle of which no information was previously available.</P>

Molecular-resolution micro-resonant biosensor with adjustable natural frequency

Xiaorui Fu,Ming Zhang,Dezhi Hou,Chong Li 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.10

Modern sensors are becoming increasingly small in size while their sensitivity requirements remain relatively strict, to the point that the processing technology and test technology are highly difficult and costly. This paper proposes a micro-resonant biosensor with adjustable natural frequency. A positive feedback signal with a phase difference of 180 degrees is used to reduce the equivalent mass of the resonator, yielding an ultrahigh resonant frequency. The biosensor is formed by a coating bovine blood solution on the surface of the resonator of a cantilever sensor. The instantaneous frequency equation of the biosensor is established using a coupling dynamic calculation. The changes in instantaneous frequency during hemoglobin oxygen absorption and deoxygenation, are then measured. The proposed millimeter micro-resonant biosensor system measures the molecular weight of a single oxygen molecule quality at 5.7619×10 -23 g, only deviating by 8.306 % from the theoretical value. Finally, the potential of the micron scale sensor is deeply taped.

Fault Detection of Electric Vehicle Charging Pile on Basis of CNN-LSTM

Xiaorui Shao,Chang-Soo Kim 한국디지털융합학회 2018 IJICTDC Vol.3 No.2

This paper presented a fault detection method based on deep learning Convolutional Neural Networks(CNN) and Long Short-Term Memory. Using CNN we get more abstract features representation in the higher level to find the distributed characteristics of the data. After obtaining the features, use LSTM to further mining useful information in the time dimension. First, we presented a CNN model which has 9 layers to extract more abstract features. By comparing three different CNN models, we realized that the shape of the original data set is much important. 16×16 shape of data set has high accuracy, it is 95%. Also comparing with traditional fault detection model, it is much better than random forest and Deep Neutral network(DNN). And the results show that the proposed CNN model can extract the features automatically for fault detection intelligently. However, data has a complex time correlation with each other. How to get the most information in the data for fault detection? We presented LSTM to extract more useful information in the time dimension. The proposed CNN-LSTM method has the highest accuracy which up to 96.13%. The proposed CNN-LSTM exhibits the best performance in the electric vehicle charging pile diagnosis.

An Optimized Mass-spring Model with Shape Restoration Ability Based on Volume Conservation

( Xiaorui Zhang ),( Hailun Wu ),( Wei Sun ),( Chengsheng Yuan ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.4

To improve the accuracy and realism of the virtual surgical simulation system, this paper proposes an optimized mass-spring model with shape restoration ability based on volume conservation to simulate soft tissue deformation. The proposed method constructs a soft tissue surface model that adopts a new flexion spring for resisting bending and incorporates it into the mass-spring model (MSM) to restore the original shape. Then, we employ the particle swarm optimization algorithm to achieve the optimal solution of the model parameters. Besides, the volume conservation constraint is applied to the position-based dynamics (PBD) approach to maintain the volume of the deformable object for constructing the soft tissue volumetric model base on tetrahedrons. Finally, we built a simulation system on the PHANTOM OMNI force tactile interaction device to realize the deformation simulation of the virtual liver. Experimental results show that the proposed model has a good shape restoration ability and incompressibility, which can enhance the deformation accuracy and interactive realism.

Self-Supervised Long-Short Term Memory Network for Solving Complex Job Shop Scheduling Problem

( Xiaorui Shao ),( Chang Soo Kim ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.8

The job shop scheduling problem (JSSP) plays a critical role in smart manufacturing, an effective JSSP scheduler could save time cost and increase productivity. Conventional methods are very time-consumption and cannot deal with complicated JSSP instances as it uses one optimal algorithm to solve JSSP. This paper proposes an effective scheduler based on deep learning technology named self-supervised long-short term memory (SS-LSTM) to handle complex JSSP accurately. First, using the optimal method to generate sufficient training samples in small-scale JSSP. SS-LSTM is then applied to extract rich feature representations from generated training samples and decide the next action. In the proposed SS-LSTM, two channels are employed to reflect the full production statues. Specifically, the detailed-level channel records 18 detailed product information while the system-level channel reflects the type of whole system states identified by the k-means algorithm. Moreover, adopting a self-supervised mechanism with LSTM autoencoder to keep high feature extraction capacity simultaneously ensuring the reliable feature representative ability. The authors implemented, trained, and compared the proposed method with the other leading learning-based methods on some complicated JSSP instances. The experimental results have confirmed the effectiveness and priority of the proposed method for solving complex JSSP instances in terms of make-span.

2D Adjacency Matrix Generation using DCT for UWV contents

Xiaorui Li,Euisang Lee,Dongjin Kang,Kyuheon Kim 한국방송·미디어공학회 2016 한국방송공학회 학술발표대회 논문집 Vol.2016 No.11

Since a display device such as TV or signage is getting larger, the types of media is getting changed into wider view one such as UHD, panoramic and jigsaw-like media. Especially, panoramic and jigsaw-like media is realized by stitching video clips, which are captured by different camera or devices. In order to stich those video clips, it is required to find out 2D Adjacency Matrix, which tells spatial relationships among those video clips. Discrete Cosine Transform (DCT), which is used as a compression transform method, can convert the each frame of video source from the spatial domain (2D) into frequency domain. Based on the aforementioned compressed features, 2D adjacency Matrix of images could be found that we can efficiently make the spatial map of the images by using DCT. This paper proposes a new method of generating 2D adjacency matrix by using DCT for producing a panoramic and jigsaw-like media through various individual video clips.

Study on the influence of the specific area of balance hole on cavitation performance of high- speed centrifugal pump

Xiaorui Cheng,Zhengbai Chang,Yimeng Jiang 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.8

In this paper, the influence of the specific area of balancing hole on the cavitation performance of high-speed centrifugal pump is studied by numerical method. The results show that in the initial cavitation stage, with the increase of the specific area, the head and efficiency of the pump decreases, and the shaft power increases in a small range. The specific area of the balance hole can change the magnitude and direction of the rotor axial force. With the increase of the specific area, the anti-cavitation performance of the pump is weakened, especially when the specific area reaches a certain value, the vortex flow appears in the balance hole, which causes serious distortion of the flow condition at the inlet of the centrifugal impeller. Meanwhile, cavitation also occurs in the balance chamber and is mainly concentrated near the hub of the centrifugal impeller.