An Efficient Combination Method of Conflict Evidences

Yibing Li,Jie Chen,Yun Lin 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12

Evidence theory is an effective method for uncertainty reasoning, which is widely used in areas like expert system, artificial intelligence, pattern recognition and system decision. But traditional DS combination rule will produce the result contrary to intuition on the condition of high confliction. To solve the problem, this paper proposes a modified method based on the option of distance function and correction of support degree. Firstly, it introduces the Minkowsky distance as distance function of evidences and finds the support degree of each evidence in system, then corrects the support degree on the basic of its distribution, finally, it gets the weighted average of evidence by the normalized evidence credibility, and uses the DS combination rule to synthesis evidences. The simulation results demonstrate the effectiveness and reliability of modified method.

Communication Modulation Signal Recognition Algorithm Based on Entropy Cloud Characteristics

Yibing Li,Jie Chen,Dandan Liu,Jingchao Li 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5

Communication modulation signal recognition, as an emerging technology, has been widely used in the field of communication reconnaissance. It is generally known that the characteristics of communication modulation signals under low SNR environment is difficult to extract. To solve this problem, a novel modulation signal feature extraction algorithm based on entropy cloud characteristics is put forward in three steps by this paper. Firstly, it extracts entropy characteristics of the modification signal, which introduce the exponential entropy to construct two-dimensional feature entropy with shannon and exponential entropy for a better signal recognition performance. Then, it extracts cloud digital characteristics of information entropy to build three-dimensional feature, which can depict the modulation type characteristics of the signal. Finally, it uses grey correlation classifier for signal identification. By means of simulation, it can be seen that the new algorithm has overcome the defection that signal characteristics are unstable and difficult to extract under low SNR environment in the traditional method. So the new algorithm is available and effective for the signal identification under low SNR environment, thus achieves the goal of the signal classification.

Development and characterization of simple sequence repeat (SSR) markers based on a full-length c

Jia Wang,Yibing Huang,Zhitong Chen,Surong Jin,Zhongli Hu,Ying Diao 한국유전학회 2017 Genes & Genomics Vol.39 No.12

Napier grass (Pennisetum purpureum Schum.) is an economically important species used as a fodder crop, reflecting its high biomass, perennial nature and pest resistance. In order to understand the genomic information and development of this species based on SSR markers, the transcriptome for Napier grass was obtained using nextgeneration sequencing. A total of 117,076 sequence contigs were obtained, with lengths of 201–10,652 bp. Among these contigs, 44,313 (37.85%) sequences were annotated against public protein databases (E-value <10−5). In addition, the contigs generated from the transcript sequencing were also analysed for the presence of simple sequence repeats (SSRs). A total of 12,744 SSR motifs were identified with in these contigs and corresponding primer pairs were designed. Empirical validation of a cohort of 200 SSRs was performed, with 34% being polymorphic for 20 Napier grass accessions. The polymorphic index content values for each primer ranged from 0.105 to 0.749, with an average of 0.409. The development of genetic, genomic resources and EST-SSRs for Napier grass will contribute to novel gene discovery and the marker-assisted selective breeding of this species.

Energy absorption ability of buckyball C ₇₂₀ at low impact speed: a numerical study based on molecular dynamics

Xu, Jun,Li, Yibing,Xiang, Yong,Chen, Xi Springer 2013 Nanoscale research letters Vol.8 No.1

<P>The dynamic impact response of giant buckyball C<SUB>720</SUB> is investigated by using molecular dynamics simulations. The non-recoverable deformation of C<SUB>720</SUB> makes it an ideal candidate for high-performance energy absorption. Firstly, mechanical behaviors under dynamic impact and low-speed crushing are simulated and modeled, which clarifies the buckling-related energy absorption mechanism. One-dimensional C<SUB>720</SUB> arrays (both vertical and horizontal alignments) are studied at various impact speeds, which show that the energy absorption ability is dominated by the impact energy per buckyball and less sensitive to the number and arrangement direction of buckyballs. Three-dimensional stacking of buckyballs in simple cubic, body-centered cubic, hexagonal, and face-centered cubic forms are investigated. Stacking form with higher occupation density yields higher energy absorption. The present study may shed lights on employing C<SUB>720</SUB> assembly as an advanced energy absorption system against low-speed impacts.</P>

The Vegetable Cultivation System in Two Villages in Sichuan Province, China Constraints and Recommendations

Chaowen Lin,Arij Everaarts,Yibing Chen,Jianhua Zhang 한국원예학회 2006 한국원예학회 기타간행물 Vol.- No.-

MFSK Signal Individual Identification Algorithm Based on Bi-spectrum and Wavelet Analyses

( Fang Ye ),( Jie Chen ),( Yibing Li ),( Juan Ge ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10

Signal individual reconnaissance and identification is an extremely important research topic in non-cooperative domains such as electronic countermeasures and intelligence reconnaissance. Facing the characteristics of the complexity and changeability of current communication environment, how to realize radiation source signal individual identification under the low SNR conditions is an emphasis of research. A novel emitter individual identification method combined bi-spectrum analysis with wavelet feature is presented in this paper. It makes a feature fusion of bi-spectrum slice characteristics and energy variance characteristics of the secondary wavelet transform coefficient to identify MFSK signals under the low SNR (signal-to-noise ratios) environment. Theoretical analyses and computer simulation results show that the proposed algorithm has good recognition performance with the ability to suppress noise and interference, and reaches the recognition rate of more than 90% when the SNR is -6dB.

Antimicrobial Resistance and Molecular Characteristics of Nasal Staphylococcus aureus Isolates From Newly Admitted Inpatients

XU CHENG,Kangde Sun,Danfeng Dong,Qingqiong Luo, M.S,Yibing Peng,Fuxiang Chen 대한진단검사의학회 2016 Annals of Laboratory Medicine Vol.36 No.3

Staphylococcus aureus, or methicillin-resistant S. aureus (MRSA), is a significant pathogen in both nosocomial and community infections. Community-associated MRSA (CA-MRSA) strains tend to be multi-drug resistant and to invade hospital settings. This study aimed to assess the antimicrobial resistance and molecular characteristicsof nasal S. aureus among newlyadmitted inpatients.In the present study, 66 S. aureus isolates, including 10 healthcare-associated MRSA (HA-MRSA), 8 CA-MRSA, and 48 methicillin-sensitive S. aureus (MSSA) strains, were found in the nasal cavities of 62 patients by screening 292 newlyadmitted patients. Antimicrobial resistance and molecular characteristics of these isolates, including spa-type, sequence type (ST) and SCCmec type, were investigated. All isolates were sensitive to linezolid, teicoplanin, and quinupristin/dalfopristin, but high levels of resistance to penicillin and erythromycin were detected. According to D-test and erm gene detection results, the cMLSB and iMLSB phenotypes were detected in 24 and 16 isolates, respectively. All 10 HA-MRSA strains displayed the cMLSB phenotypemediated by ermA or ermA/ermC, while the cMLSB CA-MRSA and MSSA strains carried the ermB gene. Molecular characterization revealedall 10 HA-MRSA strains were derived from the ST239-SCCmec III clone, and four out of eight CA-MRSA strains were t437-ST59-SCCmec V. The results suggest that patients play an indispensable role in transmitting epidemic CA-MRSA and HA-MRSA strains.

Electrolyte solution transport in electropolar nanotubes

Zhao, Jianbing,Culligan, Patricia J,Qiao, Yu,Zhou, Qulan,Li, Yibing,Tak, Moonho,Park, Taehyo,Chen, Xi IOP Pub 2010 Journal of Physics, Condensed Matter Vol.22 No.31

<P>Electrolyte transport in nanochannels plays an important role in a number of emerging areas. Using non-equilibrium molecular dynamics (NEMD) simulations, the fundamental transport behavior of an electrolyte/water solution in a confined model nanoenvironment is systematically investigated by varying the nanochannel dimension, solid phase, electrolyte phase, ion concentration and transport rate. It is found that the shear resistance encountered by the nanofluid strongly depends on these material/system parameters; furthermore, several effects are coupled. The mechanisms of the nanofluidic transport characteristics are explained by considering the unique molecular/ion structure formed inside the nanochannel. The lower shear resistance observed in some of the systems studies could be beneficial for nanoconductors, while the higher shear resistance (or higher effective viscosity) observed in other systems might enhance the performance of energy dissipation devices.</P>

Mast Cells Tryptase Promotes Intestinal Fibrosis in Natural Decellularized Intestinal Scaffolds

Wan Jian,Wu Tianqi,Liu Ying,Yang Muqing,Fichna Jakub,Guo Yibing,Yin Lu,Chen Chunqiu 한국조직공학과 재생의학회 2022 조직공학과 재생의학 Vol.19 No.4

BACKGROUND: Standard two-dimensional (2D) culture has confirmed the mechanism of mast cells (MCs) in the pathogenesis of inflammatory bowel disease (IBD), but the regulation of signaling responses of MCs may well differ in three-dimensional (3D) microenvironments. The aim of the study was to develop a 3D culture model based on decellularized intestinal scaffolds (DIS) and verify how MCs influenced fibroblasts phenotype in the 3D model. METHODS: DIS were achieved using the detergent technique and extracellular matrix (ECM) components were verified by histologic analysis, quantification and scanning electron microscope. After human colon fibroblasts recellularized into the scaffolds and activated by MCs tryptase and TGFb1, the changes in genes and signaling pathways during fibroblasts activation in 3D were studied and compared with the changes in 2D cell culture on plastic plates. RESULTS: Decellularization process effectively removed native cell debris while retaining natural ECM components and structure. The engrafted fibroblasts could penetrate into the scaffolds and maintain its phenotype. No matter whether fibroblasts were cultured in 2D or 3D, MCs tryptase and transforming growth factor b1 (TGF-b1) could promote the differentiation of fibroblasts into fibrotic-phenotype myofibroblasts through Akt and Smad2/3 signaling pathways. Furthermore, the pro-collagen1a1 and fibronectin synthesis of myofibroblasts in 3D was higher than in 2D culture. CONCLUSION: Our results demonstrated that the DIS can be used as a bioactive microenvironment for the study of intestinal fibrosis, providing an innovative platform for future intestinal disease modeling and screening of genes and signaling pathways.