An Improved T/2 Fractionally Spaced Blind Equalization Algorithm with Coordinate Transform

Xiaoping Jiang,Hao Ding,Hua Zhang,Chenghua Li 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.12

To address the slow convergence and large residual error problems in the T/2 fractionally spaced equalization with constant modulus algorithm (T/2-FSE-CMA) for high-order QAM signal in wireless communication, we analyze the distribution characters of 16QAM signal constellations and propose an improved T/2 fractionally spaced blind equalization with coordinate transform and constant modulus algorithm (T/2-FSE-RCTCMA). In this algorithm, we equalize the real and imaginary parts of the input signal in the fractionally spaced equalizer separately. By using the coordinate transform the output signals are mapped into the same circle and the error function of constant modulus is achieved. Using the error function to adjust the weight vector of each sub-channel in the fractionally spaced equalizer, we may avoid the miss-detection caused by the T/2 FSE-CMA algorithm in multi-modulus high-order QAM signal equalization. The simulation results in wireless channel show that compared with T/2-FSE-CTCMA and T/2- FSE-CMA, the proposed algorithm has a faster convergence speed and a smaller residual error.

Working Condition Analysis and State Trend Prediction of Hydraulic Turbine Units

Xiaoping Jiang,Xiang Gao,Ziting Wang,Lele Wang 한국유체기계학회 2021 International journal of fluid machinery and syste Vol.14 No.3

Based on the pressure parameters of the turbine, the operation condition of the turbine is determined. Based on the input data, the operation condition of the turbine is predicted by the long short-term memory network. Firstly, the identification model of BP neural network method is established to identify the specific working conditions by using the historical values obtained in the practical engineering application. Then, according to the correlation between the measuring points, the multiple time series long short-term memory network prediction model (LSTM) is constructed, and the state trend of the hydraulic turbine unit under this condition is predicted. The corresponding punishment factors are calculated by using the prediction data of each measuring point and the threshold value of the prediction band, which are mapped into the radar chart Finally, an anomaly early warning system with flexible early warning rules based on equipment deviation index is proposed. Through the experimental analysis, the validity of the long short-term memory network prediction model and the radar graph model for calculating the deviation degree of the equipment is verified, and the advanced warning for the abnormal state of different acquisition points under different working conditions is realized, which provides a new method for the abnormal prediction and fault diagnosis of the hydraulic turbine.

Spatial Distribution of Nitrifers and Nitrification Associated with Aggregates along A 2000 Year Chronosequence of Rice Cultivation

Xiaoping Xin,Xianjun Jiang,Liu Wei 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Research on the Evaluation of E-Commerce Logistics in the Cloud Computing Environment

Xiaoping Wang,Jiangang Dong,Jiang Wu,Fan Zhang 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.7

Cloud computing has the advantages of low cost, large scale, general and scalable. In all areas of the social life and the economic life, the cloud computing is widely used. And the emergence of the cloud computing is another revolution in the information society. With the rapid development of e-commerce, the combination of e-commerce and cloud computing has been proved to be a win-win combination. But, there still are many problems of the e-commerce in the cloud computing environment, especially in logistics. In this paper, we establish the e-commerce logistics evaluation system in the cloud computing. And we use the e-commerce logistics evaluation method to evaluate the logistics in the cloud computing based on the improved entropy method. Finally, the experiments show that the proposed method can be effectively applied to the evaluation of e-commerce logistics in the cloud environment and the evaluation results are objective and effective.

HRKT: A Hierarchical Route Key Tree based Group Key Management for Wireless Sensor Networks

( Rong Jiang ),( Jun Luo ),( Xiaoping Wang ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.8

In wireless sensor networks (WSNs), energy efficiency is one of the most essential design considerations, since sensor nodes are resource constrained. Group communication can reduce WSNs communication overhead by sending a message to multiple nodes in one packet. In this paper, in order to simultaneously resolve the transmission security and scalability in WSNs group communications, we propose a hierarchical cluster-based secure and scalable group key management scheme, called HRKT, based on logic key tree and route key tree structure. The HRKT scheme divides the group key into cluster head key and cluster key. The cluster head generates a route key tree according to the route topology of the cluster. This hierarchical key structure facilitates local secure communications taking advantage of the fact that the nodes at a contiguous place usually communicate with each other more frequently. In HRKT scheme, the key updates are confined in a cluster, so the cost of the key updates is reduced efficiently, especially in the case of massive membership changes. The security analysis shows that the HRKT scheme meets the requirements of group communication. In addition, performance simulation results also demonstrate its efficiency in terms of low storage and flexibility when membership changes massively.

A Fast Feature Similarity Index for Image Quality Assessment

Shaoping Xu,Xiaoping Liu,Shunliang Jiang 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.11

The main drawback of the phase congruency feature employed in the feature similarity index (FSIM) image quality assessment (IQA) algorithm is its low computational efficiency. In this paper, a novel fast feature similarity index (FFSIM) for image quality assessment is proposed. Based on the fact that human visual system (HVS) responds to the brightness stimulus mainly complying with Weber's law, the proposed FFSIM only performs spatial filtering to quickly calculate the contrast between the current pixel and its background, which is used to compute Weber visual salience similarity and a weighting coefficient in pooling stage after applied nonlinear mapping. Weber contrast and the gradient magnitude play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use Weber weighting coefficient again as a weighting coefficient to derive a single quality score. As such, the multi-scale version of the FFSIM algorithm, i.e., MS-FFSIM is also proposed, which complies with the spatial frequency response characteristics of the HVS system. Extensive experiments performed on six publicly available IQA databases demonstrate that the proposed FFSIM and MS-FFSIM can achieve higher consistency with the subjective evaluations than state-of-the-art IQA metrics and the computational efficiency is greatly improved as well.

School Consolidation: Whither China’s Rural Education?

Hong Mei,Quanbao Jiang,Yuanyuan Xiang,Xiaoping Song 한국사회복지학회 2015 Asian Social Work and Policy Review Vol.9 No.2

The School Consolidation Policy in the 1990s significantly impacted Chinese rural compulsory education and Chinese rural communities. Although this policy has been involved in many negative news reports, there is a lack of scientific research on it. To address the research gap, this paper first delineates the evolution of this policy, which was formed to balance the disparity between urban and rural education, accelerated by rural financial reformation and aborted due to various emerging problems. It then discusses the educational problems caused by the policy including misallocated resources, poor quality, rising costs, student safety issues, high dropout rate, and lost rural culture heritage. Through the analyses, this paper provides a clear picture of the development of Chinese rural education, and offers implications for improving educational policy, promoting educational quality, and securing educational rights of students in rural China.

Preoperative body mass index and amylase level predict postoperative pancreatic fistula independently

Deng NING,Li JIANG,Xiaoping CHEN,Chao WANG 한국간담췌외과학회 2021 Annals of hepato-biliary-pancreatic surgery Vol.25 No.-

Ganodermanontriol Suppresses the Progression of Lung Adenocarcinoma by Activating CES2 to Enhance the Metabolism of Mycophenolate Mofetil

( Qingfeng Xie ),( Zhuo Cao ),( Weiling You ),( Xiaoping Cai ),( Mei Shen ),( Zhangyong Yin ),( Yiwei Jiang ),( Xin Wang ),( Siyu Ye ) 한국미생물생명공학회 2024 Journal of microbiology and biotechnology Vol.34 No.2

New anti-lung cancer therapies are urgently required to improve clinical outcomes. Since ganodermanontriol (GDNT) has been identified as a potential antineoplastic agent, its role in lung adenocarcinoma (LUAD) is investigated in this study. Concretely, lung cancer cells were treated with GDNT and/or mycophenolate mofetil (MMF), after which MTT assay, flow cytometry and Western blot were conducted. Following bioinformatics analysis, carboxylesterase 2 (CES2) was knocked down and rescue assays were carried out in vitro. Xenograft experiment was performed on mice, followed by drug administration, measurement of tumor growth and determination of CES2, IMPDH1 and IMPDH2 expressions. As a result, the viability of lung cancer cells was reduced by GDNT or MMF. GDNT enhanced the effects of MMF on suppressing viability, promoting apoptosis and inducing cell cycle arrest in lung cancer cells. GDNT up-regulated CES2 level, and strengthened the effects of MMF on down-regulating IMPDH1 and IMPDH2 levels in the cells. IMPDH1 and IMPDH2 were highly expressed in LUAD samples. CES2 was a potential target for GDNT. CES2 knockdown reversed the synergistic effect of GDNT and MMF against lung cancer in vitro. GDNT potentiated the role of MMF in inhibiting tumor growth and expressions of CES2 and IMPDH1/2 in lung cancer in vivo. Collectively, GDNT suppresses the progression of LUAD by activating CES2 to enhance the metabolism of MMF.

Comparative effect of eldecalcitol and alfacalcidol on bone microstructure: A preliminary report of secondary analysis of a prospective trial

Xiaolin Ni,Juan Feng,Yan Jiang,Li Zhang,Wei Yu,Ou Wang,Mei Li,Xiaoping Xing,Toshio Matsumoto,Weibo Xia 대한골다공증학회 2021 Osteoporosis and Sarcopenia Vol.7 No.2

Objectives: To compare the effect of eldecalcitol and alfacalcidol on skeletal microstructure by highresolution peripheral QCT (HR-pQCT). Methods: This was a substudy of a randomized, double-blind, active comparator trial. Five female osteoporotic patients with 1-year 0.75 ㎍/day eldecalcitol and 5 with 1-year 1.0 ㎍/day alfacalcidol completed HR-pQCT scans before and after treatment were enrolled. Results: Total vBMD [1.67 ± 1.06% (mean ± SD), P = 0.043 versus baseline] and trabecular vBMD (2.91 ± 1.72%, P = 0.043) at the radius increased in eldecalcitol group, while total, trabecular, and cortical vBMD tended to decrease in alfacalcidol group, with a significant reduction in cortical vBMD at the tibia (0.88 ± 0.62%, P = 0.043). Cortical area (1.82 ± 1.92%, P = 0.043) at the radius and thickness (0.87 ± 1.12%, P = 0.043) at the tibia increased in eldecalcitol group, while these parameters decreased with alfacalcidol at the tibia (1.77 ± 1.72%, P ¼ 0.043 for cortical area; 1.40 ± 2.14%, P = 0.042 for cortical thickness). Trabecular thickness at the radius (1.97 ± 1.93%, P = 0.042) and number at the tibia (3.09 ± 3.04%, P = 0.043) increased by eldecalcitol but did not increase by alfacalcidol. Trabecular separation decreased by eldecalcitol (2.22 ± 2.43%, P = 0.043) but tended to increase by alfacalcidol at the tibia. Conclusions: Eldecalcitol has the greater potential to improve cortical and trabecular microstructure at the peripheral bone than alfacalcidol which needs further more studies.