Increased impact of heat domes on 2021-like heat extremes in North America under global warming

Xing Zhang,Tianjun Zhou,Wenxia Zhang,Liwen Ren,Jie Jiang,Shuai Hu,Meng Zuo,Lixia Zhang,Wenmin Man 한국기상학회 2023 한국기상학회 학술대회 논문집 Vol.2023 No.4

Imaging Anatomy of Waldeyer's Ring and PET/CT and MRI Findings of Oropharyngeal Non-Hodgkin's Lymphoma

Zhang, Chun-Xing,Liang, Long,Zhang, Bin,Chen, Wen-Bo,Liu, Hong-Jun,Liu, Chun-Ling,Zhou, Zheng-Gen,Liang, Chang-Hong,Zhang, Shui-Xing Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.8

Background: This study was conducted to analyze positron emission tomography (PET) / computed tomography (CT) and magnetic resonance imaging (MRI) performance with oropharyngeal non-Hodgkin's lymphoma (ONHL).Materials and Methods: The complete image data of 30 ONHL cases were analyzed, all patients were performed PET / CT and MRI examination before the treatment, with the time interval of these two inspections not exceeding 14 days. The distribution, morphology, MRI signal characteristics, enhancement feature, standardized uptake value (SUV) max value and lymph node metastasis way of the lesions were analyzed. Results: Among the 30 cases, 23 cases were derived from the B-cell (76.7%), 5 cases were derived from the peripheral T cells (16.7%) and 2 cases were derived from the NK/T cells (6.7%). 19 cases exhibited the palatine tonsil involvement (63.3%). As for the lesion appearance, 10 cases appeared as mass, 8 cases were the diffused type and 12 cases were the mixed type. 25 cases exhibited the SUVmax value of PET / CT primary lesions as 11 or more (83.3%). MRI showed that all patients exhibited various degrees of parapharyngeal side-compressed narrowing, but MRI still exhibited the high-signal fat, and the oropharyngeal mucosa was intact. 25 cases were associated with the neck lymph node metastasis, among who 22 cases had no necrosis in the metastatic lymph nodes, while the rest 3 cases exhibited the central necrosis in the metastatic lymph nodes. Conclusions: PET / CT and MRI have important value in diagnosing and determining the lesion extent of ONHL.

Spatial Analysis of Rural Medical Facilities Using Huff Model : A Case Study of Lankao County, Henan Province

Pengyan Zhang,,Xing Ren,Qianqian Zhang,Jianjian He,Yongmin Chen 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.1

Rural health care reformed in the new situation in China, indicating that the construction of medical facilities not only to solve difficult medical problems, but also to take into account the efficiency and fairness of the use of medical resources allocation. Facing these problems, the paper aims to assess the spatial distribution of rural medical services by using geographic information systems (GIS) and spatial accessibility indexes. Lankao County in Henan Province and 21 hospitals of township and county are selected as study samples. First adopted ArcGIS10.0 to collate data. Second, the authors established a network dataset to analysis the maximum coverage for hospital services space accessibility. At last, established Huff model and built a scientific evaluation for the current hospitals’ distribution. There are several findings from the case study. First, the distribution of medical facility is unbalanced in rural areas in term of per capita, such as opportunity for assessing medical services and the convenience of utilizing medical services. Second, by using the Huff Model to calculate the potential population in service regions, the Huff Model to calculate the potential population in service regions, the results showed the low efficiency of the use of medical resources and the problems in these regions.

Effect of O2 Plasma Treatment on Density-of-States in a-IGZO Thin Film Transistors

Xing-Wei Ding,Fei Huang,Sheng Li,Jianhua Zhang,Xue-Yin Jiang,Zhi-Lin Zhang 대한금속·재료학회 2017 ELECTRONIC MATERIALS LETTERS Vol.13 No.1

This work reports an efficient route for enhancing the performanceof amorphous InGaZnO (a-IGZO) thin film transistors (TFT). Themobility was greatly improved by about 38% by means of O2plasma treatment. Temperature-stress was carried out to investigatethe stability and extract the parameters related to activation energy(Ea) and density-of-states (DOS). The DOS was calculated on thebasis of the experimentally obtained Ea, which can explain theexperimental observation. A lower activation energy (Ea, ~0.72 eV)and a smaller DOS were obtained in the O2 plasma treatment TFTbased on the temperature-dependent transfer curves. The resultsshowed that temperature stability and electrical propertiesenhancements in a-IGZO thin film transistors were attributed to thesmaller DOS.

Generator Bearing Fault Diagnosis Based on Analytic Hierarchy Process and Binary-tree Support Vector Machine

ZHANG Xing-yuan,CHEN Minye,XU Hai-rong,LI Pei-qi 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8

Binary-tree support vector machine (SVM) has such advantages as small repeated operation workload, fast classification speed and dead zone inexistence, but the structural design can influence the classification accuracy thereof. In order to rationally design the structure of the binary-tress SVM, a multi-classification algorithm (AHP-BSVM) combining analytic hierarchy process (AHP) and binary-tree SVM is proposed in this paper. Firstly, the analytic hierarchy process is adopted to establish the evaluation system model so as to comprehensively evaluate multiple influencing factors for determining the weight values of various faults; then, the faults are ordered by the weight values and the structure of the binary-tree SVM is determined according to the fault sequence; finally, the proposed algorithm is adopted for fault diagnosis and analysis. The simulation experiment shows: compared with other algorithms, the proposed algorithm has higher recognition accuracy and higher classification accuracy, and is applicable to multi-classification, thus having good promotion prospect.

Segmentation for Range Image Based on Snake Active Contour Model

Zhang Mei,Wen Jing Hua,Peng Xing Xing 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.8

Range image segmentation is one of the most common problem in the field of computer vision. In view of the defect about traditional range image segmentation methods, this paper introduces a new range image segmentation method based on snake active contour model (SCAM). First, this paper expresses the snake active contour model in the form of parameters, and illustrates the contour line data points inside and outside of the movement and pseudo code description of the motion of a point algorithm; then constructs energy function, pushing the Euler equation and discretization; finally gets the results by Cholesky decomposition. Numerical experiment results show that the method is accurate and efficient, of good effect and the segmentation results are consistent with human subjective visual perception.

Exploring the Heat Treatment Parameters, Microstructural Evolution, and Mechanical Properties of Ti–6Al–4V Alloy Fabricated by a Selective Laser Melting Process

Xing Gao,Ning Zhang,Yi Zhang,Mingrui Chen,Yan Ding,Bo Jiang,Yazheng Liu 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.11

The effects of heat treatment parameters on the mechanical properties of a selective laser melting Ti–6Al–4V alloy werestudied using an L9 (34) type orthogonal test. Results showed that the solution temperature and aging temperature were themost influential factors relative to the mechanical properties. The optimum heat treatment was then obtained as 920 °C/2 h/water quenching + 550 °C/3 h/air cooling and the corresponding tensile strength was 1045.2 MPa and the elongation was13.6%. Compared to a solution temperature of 850 °C, more fine secondary α phase (αS) and higher geometrically necessarydislocations (GND) density were obtained when solution temperature was 920 °C, which promoted the increased strengthby increasing the interface strengthening effect of αS/β and the dislocation strengthening. However, the microstructure of thecontinuously coarsening αGB resulted in decreased elongation when the solution was at 920 °C. As the aging temperatureincreased from 550 to 650 °C, the GND density was reduced and the microstructures of primary α (αP), αS with variouscrystallographic orientations, lamellar α, and equiaxial αP were coarsened. Therefore, the elongation of the specimen agingat a higher aging temperature increased while the strength decreased.

A high-efficiency simulation method of wind field and its application on transmission line

Xing Fu,Xing-Heng Zhang,Hong-Nan Li,Gang Li,Hui-Juan Liu 한국풍공학회 2021 Wind and Structures, An International Journal (WAS Vol.33 No.4

Generally, the fluctuating wind is simplified as several independent one-dimensional multivariate stationary Gaussian processes in simulating a natural wind field. The correlation in the lateral, longitudinal and vertical directions should all be considered in the simulation of longitudinal wind field for the large-span spatial structures. In fact, this type of structure has lots of simulation points. The calculation amount of wind field simulation by the harmonic superposition method depends on the scale of cross-spectral density matrix, which is directly related to the number of simulated points, leading to a low efficiency when generating the time-varying wind speed. This paper innovatively proposes a high-efficiency simulation method for the longitudinal wind field based on Taylor’s hypothesis. Subsequently, the effectiveness of the proposed wind field method was verified by the numerical simulation. Finally, the dynamic responses of a transmission tower-line system under the wind loadings generated with the new method and traditional method are calculated and compared. The percentages difference of the mean and maximum axial force at the main tower members are less than 0.02% and 1%, respectively, indicating the effectiveness of the proposed time delay method. The results also show that the proposed simulation method of wind field can not only ensure the simulation accuracy, but also significantly improve the efficiency of wind speed generation, which is suitable for the wind load simulation of large-span spatial structures.

Research on Security Transmission of Perceptual Hash Values Based on ECC and Digital Watermarking

Zhang Qiuyu,Xing Pengfei,Liu Yangwei,Zhang Qianyun,Huang Yibo 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.3

In this paper, a secure method of transmitting perceptual hash is proposed based on error correcting codes (ECC) and digital watermarking, aiming at the fact that perceptual hash string used in audio authentication is easy to alter after been attacked in transmission and the need of extra channel. In this method we embed the binary perceptual hash values into the compressed audio as a digital watermark so that authentication data is dispersed. An ECC is used to pre-process perceptual hash sequence to ensure that speech signal with watermarking can be extracted watermarking information (the perceptual hash values) after been attacked. The experimental result illustrate that this method embeds information without influencing on the content. It is robust to noise and can prevent from common attack. At the same time, this method ensures the hearing transparency of audio perceptual content, the high efficiency of watermark extraction and the efficiency and security of algorithm.

A Dependence Stability Bound based on the VC Dimension for Relational Classification

Xing Wang,Hui He,Bin-Xing Fang,Hong-Li Zhang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3

Relational classification (RC) is concerned with the application of statistical learning to relational data. RC models do not have improved stability to smooth the perturbations generated by variations in the correlation between the relational data. Therefore, few studies have attempted to derive a bound and develop a stability learning framework for RC models. To solve this problem, we derive a learning bound with a new measure dependence stability and a limited Vapnik–Chervonenkis (VC) dimension. Based on the learning bound, we then design a stable learning framework that serves as a guideline for the development of new learning algorithms for a broad class of RC models. Applying a Markov logic network on synthesized and real-world datasets, our experimental results demonstrate that our bound can be tight if the RC model has appropriate dependence stability and limited VC dimension and our learning framework increases the stability of RC models while reducing the deviation between empirical risk and true risk.