A Novel Dynamic Time Wrapping Similarity Algorithm Optimized by Multi-Granularity

Xu Jianfeng,Tang Tao,Zhang Yuanjian 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.10

Dynamic time warping algorithm (DTW) is a method of measuring the similarity of time series. Concerning the problem that DTW cannot keep high classification accuracy when the computation speed improved, a FG-DTW method based on the idea of naive granular computing is proposed. In this method, firstly, better temporal granularity is acquired by calculating temporal variance feature and it is used to replace original time series; Secondly, the elastic size of under comparing time series granularity allow dynamic adjustment through DTW algorithm and optimal time series corresponding granularity is obtained; Finally, DTW distance is calculated by optimal corresponding granularity model. At the same time, the early termination strategy of infimum function is introduced to improve the efficiency of FG-DTW algorithm. Experiments show that the proposed algorithm improves the running rate and accuracy effectively.

WSN Missing Data Imputing Based on Multiple Time Granularity

Jianfeng Xu,Yu Li,Yuanjian Zhang,Azhar Mahmood 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.6

Missing data is a common phenomenon in the data collection process of wireless sensor network (WSN), and the missing data imputing is an important issue of WSN stream data mining. Currently WSN missing data imputing method has little considered about the dynamic characteristics of internal data time structure during the data collection process, which makes data imputing difficult to reflect the real monitoring change objectively. In order to analyze the internal structure and dynamics of WSN time sequence data systematically, with the equivalence relation of the monitored object the time domain can be regarded as a series of integral time granule (ie atomic time point set), a wireless sensor network timing information system (WTIS) is established. The system can reason logically at different time granularity, and a multiple optimal time granularity strategy of WTIS based on hierarchical successive approximation approach is proposed. Finally, based on the research, a multiple optimal time granularity WSN missing data clustering imputing algorithm is proposed. Compared with traditional fixed time granularity missing data imputing algorithm, experiments show that the algorithm can lower error rate when imputing WSN missing data.

Evaluation of a Novel Array-Based Toxoplasma, Rubella, Cytomegalovirus, and Herpes Simplex Virus IgG Enzyme Linked Immunosorbent Assay and Its Comparison with Virion/Serion Enzyme Linked Immunosorbent Assays

Dongsheng Wu,Yuanjian Wu,Liuhong Wang,Weidong Xu,Qiao Zhong 대한진단검사의학회 2014 Annals of Laboratory Medicine Vol.34 No.1

Background: The dramatic increase in use of the IgG test for toxoplasma, rubella, cyto- megalovirus (CMV), and herpes simplex virus (HSV) [TORCH] has led to the requirement for a high-efficiency method that can be used in the clinical laboratory. This study aimed to compare the results of BGI-Array ELISA TORCH IgG (BGI-GBI, China) screening method to those of Virion/Serion TORCH IgG ELISA (Virion/Serion, Germany). Methods: Serum specimens (n=400) submitted for routine IgG testing by Virion/Serion ELISA were also tested using the BGI-Array ELISA method. The agreements of these two kinds of method were analyzed by κ-coefficients calculation. Results: Following repeat testing, the BGI-Array ELISA TORCH IgG assays demonstrated agreements of 99.5% (398/400 specimens), 98% (392/400 specimens), 99% (396/400 specimens), and 99.5% (398/400 specimens), respectively. The BGI-Array ELISA IgG as- says provided results comparable to Virion/Serion ELISA results, with κ-coefficients show- ing near-perfect agreement for the HSV (κ=0.87), rubella (κ=0.92) and CMV (κ=0.93) and substantial agreement for the toxoplasma (κ=0.80) IgG assays. The use of the BGI- Array ELISA TORCH IgG assays could reduce the turnaround time (1.5 hr vs. 5 hr by Vi- rion/Serion ELISA for 100 specimens) and were easy to use. Conclusions: BGI-Array ELISA TORCH IgG shows a good agreement with Virion/Serion ELISA methods and is suitable for clinical application.

Clonal Spread of Carbapenem Non-susceptible Acinetobacter baumannii in an Intensive Care Unit in a Teaching Hospital in China

Qiao Zhong,Weidong Xu,Yuanjian Wu,Hongxing Xu 대한진단검사의학회 2012 Annals of Laboratory Medicine Vol.32 No.6

Background: This study was aimed to investigate the genetic diversity and antibiotic resistance profile of the nosocomial infection agent Acinetobacter baumannii from a medical intensive care unit (ICU) in a teaching hospital in Suzhou, China. Methods: The genetic relationship among A. baumannii isolates in an ICU was investigated using multilocus sequence typing (MLST). The antibiotic resistance pattern was determined by performing an antibiotic susceptible test, which included an agar dilution method and an E-test method. Resistant determinants, e.g., carbapenemase genes, metallo-β- lactamases, and class 1 integron, were analyzed by specific PCR and DNA sequencing. Results: In the present study, 33 non-duplicate isolates were identified as 5 existing sequence types (STs) (ST92, ST75, ST112, ST145, and ST345) and 1 new sequence type STn, which has a G-A mutation at nt268 on ropD40 of ST251. These results reveal limited diversity in carbapenem non-susceptible A. baumannii (CNSAb) isolates in our ICU, which are comprised of only 2 distinct STs, with ST92 and ST75 clustering into a clonal complex (CC) 92. Most CNSAb isolates (94.4%, 17/18) harbored the OXA-23 gene, while no carbapenem-susceptible A. baumannii (CSAb) isolates harbored it. In addition, 66.7% (22/33) isolates were positive for class 1 integrase, and gene cassette analysis showed there are 3 gene arrays among them, i.e., aacA4-catB8-aadA1 (77.3%, 17/22), aacA4 (22.7%, 5/22), and aacC1-orfX-orfX’-aadA1 (4.5%, 1/22). Conclusions: When all these data are combined, the antibiotic resistance and wide distribution of CNSAb isolates in our ICU are probably caused by expansion of the CC92 clone. Background: This study was aimed to investigate the genetic diversity and antibiotic resistance profile of the nosocomial infection agent Acinetobacter baumannii from a medical intensive care unit (ICU) in a teaching hospital in Suzhou, China. Methods: The genetic relationship among A. baumannii isolates in an ICU was investigated using multilocus sequence typing (MLST). The antibiotic resistance pattern was determined by performing an antibiotic susceptible test, which included an agar dilution method and an E-test method. Resistant determinants, e.g., carbapenemase genes, metallo-β- lactamases, and class 1 integron, were analyzed by specific PCR and DNA sequencing. Results: In the present study, 33 non-duplicate isolates were identified as 5 existing sequence types (STs) (ST92, ST75, ST112, ST145, and ST345) and 1 new sequence type STn, which has a G-A mutation at nt268 on ropD40 of ST251. These results reveal limited diversity in carbapenem non-susceptible A. baumannii (CNSAb) isolates in our ICU, which are comprised of only 2 distinct STs, with ST92 and ST75 clustering into a clonal complex (CC) 92. Most CNSAb isolates (94.4%, 17/18) harbored the OXA-23 gene, while no carbapenem-susceptible A. baumannii (CSAb) isolates harbored it. In addition, 66.7% (22/33) isolates were positive for class 1 integrase, and gene cassette analysis showed there are 3 gene arrays among them, i.e., aacA4-catB8-aadA1 (77.3%, 17/22), aacA4 (22.7%, 5/22), and aacC1-orfX-orfX’-aadA1 (4.5%, 1/22). Conclusions: When all these data are combined, the antibiotic resistance and wide distribution of CNSAb isolates in our ICU are probably caused by expansion of the CC92 clone.

Removal of Cu2+ from aqueous solution by adsorption onto mercapto functionalized palygorskite

Jun Han,Xuefeng Liang,Yingming Xu,Yuanjian Xu 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.23 No.-

In order to enhance sorption capacity of palygorskite for heavy metals, mercapto functionalized palygorskite (MPAL) were prepared and utilized for the sorption of Cu2+ from aqueous solution. Sorption kinetic and thermodynamic experiments were conducted to assess the sorption behavior and application potentials for the remediation of heavy-meta-polluted soil. Sorption mechanisms were investigated by XRD, FT-IR, 29Si CP/MAS NMR, SEM-EDS and XPS in detail. The maximum sorption amount of Cu2+ on MPAL was approximately 30 mg/g, which was 10 times more than pristine palygorskite. Freundlich isotherm describes the sorption data better than other isotherms, and pseudo second order kinetic model fit the sorption kinetic processes well. The positive enthalpy change confirmed that the sorption process of MPAL was endothermic and the positive entropy changes revealed that sorption of Cu2+ was driven by entropy changes. Further characterization analyses and the ‘‘Hard and Soft Acids and Bases theory’’ for mechenism research exhibited the complexation existence of Cu2+ with mercapto groups. The good performance demonstrated that MPAL has great potential application values in removal of heavy metals both from aqueous and soils.