Anomaly Driving Speed Detection and Correction Algorithm based on Quantiles and KNN

Guo Yanling,Liu Lichen,Gao Meng,Gao Lewen 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.3

Driving speed is a key parameter for building the traffic state identification model, its precision directly affects the model reliability and the traffic state identification accuracy. Aiming at the standard normal deviation method’s defects in dealing with the extreme noise data, an anomaly driving speed detection algorithm based on quantiles is proposed, use historical data to establish the exception borders which are used to detect whether an unknown data is abnormal; on the basis of the abnormal data detection, a driving speed prediction algorithm based on improved KNN is proposed, use K-means algorithm to clustering the historical data, and predict the next moment’s speed according to the distance between the data to be predicted and the clusters, the predicted speed can be used to correct the abnormal speed. Experimental results show that the detection rate of the proposed anomaly detection algorithm has improved about 4.25% compared with the standard normal deviation method, and the false detection rate has reduced about 25.51%; the mean relative error of the proposed speed prediction algorithm is 13.69%, it can predict the driving speed well, namely, the anomaly driving speed detection and correction algorithm based on quantiles and KNN is feasible and effective.

Urban Road Traffic State Identification Algorithm Based On Particle Filter and Fuzzy Discrimination

Guo Yanling,Liu Lichen,Gao Meng,Gao Lewen 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.8

Urban road traffic state identification is a key link to realize the intelligent transportation based on the Internet of Vehicles, and accurately positioning vehicles is the foundation to realize the traffic state identification. Aiming at the problem that GPS has signal blind area in positioning vehicles, a vehicle positioning algorithm based on particle filter was proposed, it could improve the traditional algorithm on degradation and large amount of calculations; Based on vehicle positioning, an urban road traffic state identification algorithm based on fuzzy discrimination was proposed, it could comprehensively consider multiple factors’ influence on traffic state. The experiment results show that the improved particle filter algorithm’s mean squared error has increased about 55.437% compared with GPS method, and the traffic state identification algorithm can accurately identify the traffic state of the study area, it can prove that the urban road traffic state identification algorithm based on particle filter and fuzzy discrimination is feasible and effective.

Complete noncompact submanifolds of manifolds with negative curvature

Ya Gao,Yanling Gao,Jing Mao,Zhiqi Xie 대한수학회 2024 대한수학회지 Vol.61 No.1

In this paper, for an $m$-dimensional ($m\geq5$) complete noncompact submanifold $M$ immersed in an $n$-dimensional ($n\geq6$) simply connected Riemannian manifold $N$ with negative sectional curvature, under suitable constraints on the squared norm of the second fundamental form of $M$, the norm of its weighted mean curvature vector $|\textbf{\emph{H}}_{f}|$ and the weighted real-valued function $f$, we can obtain: \begin{itemize} \item several one-end theorems for $M$; \item two Liouville theorems for harmonic maps from $M$ to complete Riemannian manifolds with nonpositive sectional curvature. \end{itemize}

Crystallization behavior of MgO-Al2O3-SiO2 glassceramics prepared by directly heat-treating of laterite ore smelting slag

Ning Gao,Yaxu Chen,Chengyu Wang,Yanling Guo,Jieyu Zhang 한양대학교 세라믹연구소 2021 Journal of Ceramic Processing Research Vol.22 No.6

In this paper, we proposed a novel method to prepare MgO-Al2O3-SiO2 (MAS) glass-ceramics through direct heat treatmentwith the slag of laterite ore. First, the Ni-Fe alloy and slag glass were prepared simultaneously by this method, and the yieldrate of Ni-Fe alloy was up to 95.69%. Then, the MAS glass-ceramics can be obtained by direct heat-treating for the slag glass. The energy consumption of glass-ceramics production was much lower than that in traditional method to make full use of thethermal energy of the molten slag. The crystallization behavior of the glass-ceramics was investigated by XRD, DSC andFESEM. The results demonstrate that many phase-separated droplets appear in the slag glass. During the heat treatment, thephase-separated droplets as favorable nucleation sites to inducing crystallization. The crystallinity and crystallite size of thesamples exhibits an increasing tendency with the increase of heat treatment temperature and time. The crystalline phases ofglass-ceramics were two different compositions magnesium aluminum silicates (MgAl2Si4O12 and (Mg,Al)SiO3). The activationenergies of the slag glass were calculated by Kissinger and Ozawa method, which were 308.81 and 309.36 kJ·mol-1, respectively. And the crystallization mechanism of the glass-ceramics was dominated by both the surface crystallization and bulkcrystallization with one-dimensional growth.

A Novel Recombined Potato virus Y Isolate in China

Shuxin Han,Yanling Gao,Guoquan Fan,Wei Zhang,Cailing Qiu,Shu Zhang,Yanju Bai,Junhua Zhang,Carl Spetz 한국식물병리학회 2017 Plant Pathology Journal Vol.33 No.4

This study reports the findings of a distinct Potato virus Y (PVY) isolate found in Northeast China. One hundred and ten samples (leaves and tubers) were collected from potato plants showing mosaic symptoms around the city of Harbin in Heilongjiang province of China. The collected tubers were planted and let to grow in a greenhouse. New potato plants generated from these tubers showed similar symptoms, except for one plant. Subsequent serological analyses revealed PVY as the causing agent of the disease. A novel PVY isolate (referred to as HLJ-C-44 in this study) was isolated from this sample showing unique mild mosaic and crisped leaf margin symptoms. The complete genome of this isolate was analyzed and determined. The results showed that HLJ-C-44 is a typical PVY isolate. Phylogenetic analysis indicated that this isolate belongs to the N-Wi strain group of PVY recombinants (PVYN-Wi) and also shared the highest overall sequence identity (nucleotide and amino acid) with other members of this strain group. However, recombination analysis of isolate HLJ-C-44 revealed a recombination pattern that differed from that of other PVYN-Wi isolates. Moreover, biological assays in four different potato cultivars and in Nicotiana tabacum also revealed a different phenotypic response than that of a typical PVYN-Wi isolate. This data, combined, suggest that HLJ-C-44 is a novel PVY recombinant with distinct biological properties.

A Novel Recombined Potato virus Y Isolate in China

Han, Shuxin,Gao, Yanling,Fan, Guoquan,Zhang, Wei,Qiu, Cailing,Zhang, Shu,Bai, Yanju,Zhang, Junhua,Spetz, Carl The Korean Society of Plant Pathology 2017 Plant Pathology Journal Vol.33 No.4

This study reports the findings of a distinct Potato virus Y (PVY) isolate found in Northeast China. One hundred and ten samples (leaves and tubers) were collected from potato plants showing mosaic symptoms around the city of Harbin in Heilongjiang province of China. The collected tubers were planted and let to grow in a greenhouse. New potato plants generated from these tubers showed similar symptoms, except for one plant. Subsequent serological analyses revealed PVY as the causing agent of the disease. A novel PVY isolate (referred to as HLJ-C-44 in this study) was isolated from this sample showing unique mild mosaic and crisped leaf margin symptoms. The complete genome of this isolate was analyzed and determined. The results showed that HLJ-C-44 is a typical PVY isolate. Phylogenetic analysis indicated that this isolate belongs to the N-Wi strain group of PVY recombinants ($PVY^{N-Wi}$) and also shared the highest overall sequence identity (nucleotide and amino acid) with other members of this strain group. However, recombination analysis of isolate HLJ-C-44 revealed a recombination pattern that differed from that of other $PVY^{N-Wi}$ isolates. Moreover, biological assays in four different potato cultivars and in Nicotiana tabacum also revealed a different phenotypic response than that of a typical $PVY^{N-Wi}$ isolate. This data, combined, suggest that HLJ-C-44 is a novel PVY recombinant with distinct biological properties.

Tight upper bound on the exponents of a class of two-colored digraphs

Rong Wang,Yanling Shao,Yubin Gao 한국전산응용수학회 2008 Journal of applied mathematics & informatics Vol.26 No.3-4

A two-colored digraph D is primitive if there exist nonnegative integers h and k with h + k > 0 such that for each pair (i, j) of vertices there exists an (h, k)-walk in D from i to j. The exponent of the primitive two-colored digraph D is the minimum value of h + k taken over all such h and k. In this paper, we give the tight upper bound on the exponents of a class of primitive two-colored digraphs with (s + 1) n−cycles and one (n − 1)−cycle, and the characterizations of the extremal two-colored digraphs.

TIGHT UPPER BOUND ON THE EXPONENTS OF A CLASS OF TWO-COLORED DIGRAPHS

Wang, Rong,Shao, Yanling,Gao, Yubin Korean Society of Computational and Applied Mathem 2008 Journal of applied mathematics & informatics Vol.26 No.3-4

A two-colored digraph D is primitive if there exist nonnegative integers hand k with h + k > 0 such that for each pair (i, j) of vertices there exists an (h, k)-walk in D from i to j. The exponent of the primitive two-colored digraph D is the minimum value of h + k taken over all such hand k. In this paper, we give the tight upper bound on the exponents of a class of primitive two-colored digraphs with (s + 1) n-cycles and one (n - 1)-cycle, and the characterizations of the extremal two-colored digraphs.

SMURF1-mediated ubiquitination of ARHGAP26 promotes ovarian cancer cell invasion and migration

Xuri Chen,Shaoyun Chen,Yao Li,Yanling Gao,Shuying Huang,Hongping Li,Yuanfang Zhu 생화학분자생물학회 2019 Experimental and molecular medicine Vol.51 No.-

Rho GTPase-activating protein 26 (ARHGAP26) is a negative regulator of the Rho family that converts the small GTPbinding protein RhoA (GTP-RhoA) to its inactive GDP-bound form and is a putative tumor suppressor gene associated with cell growth and migration. Here, the involvement of ARHGAP26 in ovarian cancer cell proliferation and migration was investigated. In this study, low ARHGAP26 expression was observed in ovarian cancer tissues and was associated with a poor overall survival and higher β-catenin expression in patients with ovarian cancer. A2780 and HEY cells with ARHGAP26 upregulation showed decreased cell proliferation, migration, and invasion, along with decreased GTPRhoA, β-catenin, VEGF, MMP2, and MMP7 expression. ARHGAP26 upregulation in A2780 cells also inhibited lung metastasis in vivo. SKOV3 cells with ARHGAP26 downregulation demonstrated an inverse effect, which was inhibited by ARHGAP26 overexpression or DKK1, an antagonist of the β-catenin pathway. SMURF1, an E3 ubiquitin ligase, interacted with and induced ubiquitination of ARHGAP26. ARHGAP26 upregulation in SKOV3 cells significantly inhibited SMURF1 upregulation-induced cell migration and invasion. Overall, SMURF1-mediated ubiquitination of ARHGAP26 may promote invasion and migration of ovarian cancer cells via the β-catenin pathway.

Interpenetration Enhancing of Chitosan-PEGLM Double Network (DN) Hydrogel and Its Properties

Yiting Xu,Jianjie Xie,Hui Gao,Ying Cao,Min Chen,Yanling Liu,Birong Zeng,Feng-Chih Chang,Lizong Dai 한국고분자학회 2015 Macromolecular Research Vol.23 No.1

A series of polylactic acid-polyethylene glycol-polylactic acid diacrylate macromers (PEGLM) were synthesized,and a novel chitosan-PEGLM double network (DN) hydrogel was further successfully fabricated by thesequential interpenetrating technology with highly cross-linked chitosan as the rigid component and PEGLM as theflexible component. Their structures and components were characterized by 1H NMR, FTIR, and XRD. Their fracturemorphology was investigated by SEM. It was interesting to found that the compressive strength of hydrogel woundreach its maximum value when the chitosan content was 10%, no matter what the molecular weight of PEGLM componentwas. What’s more, we found that the compressive strength of 6KL7 could reach 1.07 MPa at gel state, whosePEG segment molecular weight was 6,000, and polymerization degree of PLA was 7. The effects of glutaraldehyderatio, polymerization degree of PLA, and molecular weight of PEG segment on the mechanical strength of DNhydrogels were also discussed in this article. To further strengthen DN hydrogels, the double network-linear (DNL)hydrogels were fabricated by introducing linear poly(vinyl alcohol) (PVA) into the DN hydrogels. The DN-Lhydrogels exhibited better mechanical properties, with the compressive strength up to 1.45 MPa. These hydrogelsmay have prospective applications in the fields of wound dressing, artificial cartilage and tissue engineering scaffoldmaterials which require high mechanical properties.