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1,201 results on '"Niu, Hong"'

1. Exploring Dual-Sniffer Passive Localization: Algorithm Design and Experimental Results

Author

Wu, Tuo, Hou, Lingyu, Niu, Hong, Xu, Saihua, Razul, Sirajudeen Gulam, and Yuen, Chau

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

In this paper, we explore a dual-sniffer passive localization system that detects the timing difference of signals from both commercial base station (eNb) and user equipment (UE) to the sniffers. We design two localization schemes for UE localization: a time of arrival (ToA) based scheme and a time difference of arrival (TDoA) based scheme. In the ToA-based scheme, we derive two ellipse equations from measured arrival times at two sniffers, enabling direct numerical computation of the estimated position. For the TDoA-based scheme, we relocate one sniffer to a different position to obtain two sets of TDoA measurements, resulting in hyperbola equations. We then apply a least squares (LS) algorithm to analytically estimate the UE's position. Simulation results validate the effectiveness of the proposed TDoA-based scheme, demonstrating improved accuracy in UE positioning.We build a platform based on the considered localization system and conduct real-world experiments. The experimental results confirm the accuracy and practicality of the TDoA-based dual-sniffer localization scheme, demonstrating improved precision in passive localization.

Published
2024

34. Artificial Noise Elimination Without the Transmitter–Receiver Link CSI

Author

Niu, Hong, Lei, Xia, Wu, Gang, Wang, Gang, Yuen, Chau, and Adachi, Fumiyuki

Abstract

Artificial noise elimination (ANE) has arisen as a promising strategy to counteract artificial noise (AN) at the eavesdropper (Eve). However, conventional ANE schemes rely on the attainable channel state information (CSI) between the transmitter (Alice) and legitimate receiver (Bob), which may reduce the feasibility of ANE. To break the gridlock, we focus on the ANE without the Alice-Bob link CSI by minimizing the artificial-noise-to-signal ratio (ANSR). Specifically, the detailed minor component analysis (MCA)-based ANE scheme is proposed to eliminate the AN for a specific classification. Moreover, the principal component analysis (PCA)-based ANE scheme is proposed for the case of binary phase shift keying (BPSK). Furthermore, the k-nearest neighbor (kNN)-based ANE scheme is proposed to exploit the additional information from the unclassified samples. To evaluate the cost of computing, the computational complexity of the aforementioned ANE schemes is analyzed. Meanwhile, the minimum required numbers of observed vectors for the MCA and PCA are derived. Finally, our numerical simulations show that proposed ANE schemes outperform the conventional hyperplane clustering (HC) scheme and can achieve the ANSR of ${\mathbf {1}}{{\mathbf {0}}^{{\mathbf { - 4}}}}$ at the signal-to-noise ratio (SNR) of 25 dB.

Published
2024
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36. Types of Septic Cardiomyopathy: Prognosis and Influencing Factors - A Clinical Study

Author

Lu,Nian-Fang, Niu,Hong-Xia, Liu,An-Qi, Chen,Ya-Lei, Liu,Hu-Nan, Zhao,Pei-Hong, Shao,Jun, Xi,Xiu-Ming, Lu,Nian-Fang, Niu,Hong-Xia, Liu,An-Qi, Chen,Ya-Lei, Liu,Hu-Nan, Zhao,Pei-Hong, Shao,Jun, and Xi,Xiu-Ming

Abstract

Nian-Fang Lu,1 Hong-Xia Niu,2 An-Qi Liu,1 Ya-Lei Chen,1 Hu-Nan Liu,1 Pei-Hong Zhao,1 Jun Shao,3 Xiu-Ming Xi4 1Department of Critical Care Medicine, Capital Medical University Electric Teaching Hospital/Beijing Electric Power Hospital, Beijing, People’s Republic of China; 2Department of Emergency, Capital Medical University Electric Teaching Hospital/Beijing Electric Power Hospital, Beijing, People’s Republic of China; 3Department of Critical Care Medicine, Subei People’s Hospital of Jiangsu Province, Yangzhou, People’s Republic of China; 4Department of Critical Care Medicine, Capital Medical University Fuxing Hospital, Beijing, People’s Republic of ChinaCorrespondence: Xiu-Ming Xi, Department of Critical Care Medicine, Capital Medical University Fuxing Hospital, No. 20 Fuxingmenwai Street, Xicheng District, Beijing, 100038, People’s Republic of China, Tel +86 13801244610, Email xixuimingxxm@126.com Jun Shao, Department of Critical Care Medicine, Subei People’s Hospital of Jiangsu Province, No. 98 Nantong West Road, Guangling District, Jiangsu, Yangzhou, People’s Republic of China, Tel +86 18051061365, Email shaojunsj_08@126.comObjective: To explore the prognostic outcomes associated with different types of septic cardiomyopathy and analyze the factors that exert an influence on these outcomes.Methods: The data collected within 24 hours of ICU admission included cardiac troponin I (cTnI), N-terminal pro-Brain Natriuretic Peptide (NT-proBNP); SOFA (sequential organ failure assessment) scores, and the proportion of vasopressor use. Based on echocardiographic outcomes, septic cardiomyopathy was categorized into left ventricular (LV) systolic dysfunction, LV diastolic dysfunction, and right ventricular (RV) systolic dysfunction. Differences between the mortality and survival groups, as well as between each cardiomyopathy subgroup and the non-cardiomyopathy group were compared, to explore the influencing factors of cardiomyopathy.Results: A cohort of 184 p

Published
2024

37. Deep eutectic solvent (DES)‐assisted extraction of pectin from Ficus carica Linn. peel: optimization, partial structure characterization, functional and antioxidant activities.

Author

Liu, Hongzhi, Lin, Jihui, Hu, Yaowu, Lei, Hui, Zhang, Qian, Tao, Xiaoyu, Zhang, Dan, and Niu, Hong

Subjects
PECTINS, CHOLINE chloride, FIG, RESPONSE surfaces (Statistics), PARTICLE size distribution, OXALIC acid, URONIC acids
Abstract

BACKGROUND: The pectin from Ficus carica Linn. (fig) peels is a valuable and recyclable constituent that may bring huge economic benefits. To maximize the utilization of this resource, deep eutectic solvent (DES)‐assisted extraction was applied to extract pectin from fig peels, and the extraction process was optimized with response surface methodology. RESULTS: When DES (choline chloride/oxalic acid = 1:1) content was 168.1 g kg−1, extraction temperature was 79.8 °C, liquid–solid ratio was 23.3 mL g−1, and extraction time was 120 min, the maximum yield of 239.6 g kg−1 was obtained, which was almost twice the extraction of hot water. DES‐extracted fig peel pectin (D‐FP) exhibited better nature than hot water‐extracted fig peel pectin (W‐FP) in terms of uronic acid content, particle size distribution, and solubility, but lower molecular weight and esterification degree. D‐FP and W‐FP had similar infrared spectra and thermodynamic peaks but differed in monosaccharide compositions. D‐FP also showed good antioxidant capacities and exhibited better functional activities than W‐FP. CONCLUSION: These results indicated that D‐FP was of promising quality being utilized in food or medical industries and the optimal DES‐assisted extraction method might be applied as a sustainable process for the effective extraction of bioactive pectin from fig peels with the excellence of low equipment requirements and simple operation. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Published
2024
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38. The causality between Type 2 diabetes and breast cancer: a bidirectional two-sample Mendelian randomization study.

Author

Zhang, Lihan, Liu, Shuochuan, Yue, Guangxing, Niu, Hong, Hu, Mengjin, Zheng, Yuling, and Tang, Jingwen

Abstract

Objective: Observational studies showed that Type 2 diabetes increased the risk of breast cancer, and vice versa. However, it is uncertain whether the link is causal or just due to confounding factors. Using bidirectional Mendelian randomization analysis, we assessed the bidirectional causal relationship from a genetic level. Methods: Large genome-wide association studies yielded summary-level data for Type 2 diabetes and breast cancer. Results: Genetically predicted Type 2 diabetes presented no statistically significant association with overall breast cancer or its subtypes. Similarly, genetically predicted overall breast cancer or its subtypes had no causal effect on Type 2 diabetes. Sensitivity analyses yielded similar results. Conclusion: Our bidirectional Mendelian randomization studies revealed no causal links between Type 2 diabetes and breast cancer. Type 2 diabetes had no causal effect on the development of overall breast cancer, estrogen receptor (ER)+ or ER- subtypes. Overall breast cancer, ER+ and ER- subtypes had no causal effect on the development of Type 2 diabetes. The previously observed substantial relationships between Type 2 diabetes and breast cancer in observational studies could be explained by failing to account for confounders completely. [ABSTRACT FROM AUTHOR]

Published
2024
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