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Article ; Online: SMSP Mainlobe Jamming Suppression with FDA-MIMO Radar Based on FastICA Algorithm.

Wan, Pengfei / Liao, Guisheng / Xu, Jingwei / Fu, Xiaolong

2023 Volume 23, Issue 12

Abstract: In the electronic warfare environment, the performance of ground-based radar target search is seriously degraded due to the existence of smeared spectrum (SMSP) jamming. SMSP jamming is generated by the self-defense jammer on the platform, playing an ... ...

Abstract	In the electronic warfare environment, the performance of ground-based radar target search is seriously degraded due to the existence of smeared spectrum (SMSP) jamming. SMSP jamming is generated by the self-defense jammer on the platform, playing an important role in electronic warfare, making traditional radars based on linear frequency modulation (LFM) waveforms face great challenges in searching for targets. To solve this problem, an SMSP mainlobe jamming suppression method based on a frequency diverse array (FDA) multiple-input multiple-output (MIMO) radar is proposed. The proposed method first uses the maximum entropy algorithm to estimate the target angle and eliminate the interference signals from the sidelobe. Then, the range-angle dependence of the FDA-MIMO radar signal is utilized, and the blind source separation (BSS) algorithm is used to separate the mainlobe interference signal and the target signal, avoiding the impact of mainlobe interference on target search. The simulation verifies that the target echo signal can be effectively separated, the similarity coefficient can reach more than 90% and the detection probability of the radar is significantly enhanced at a low signal-to-noise ratio.
MeSH term(s)	Radar ; Algorithms ; Computer Simulation ; Electronics ; Entropy
Language	English
Publishing date	2023-06-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23125619
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Range Gate Pull-Off Mainlobe Jamming Suppression Approach with FDA-MIMO Radar: Theoretical Formalism and Numerical Study

Wan, Pengfei / Weng, Yuanlong / Xu, Jingwei / Liao, Guisheng

Remote Sensing. 2022 Mar. 20, v. 14, no. 6

2022

Abstract: With the development of an electronic interference technique, the self-defense jammer can generate mainlobe jamming using the range gate pull-off (RGPO) strategy, which brings serious performance degradation of target tracking for the ground-based ... ...

Abstract	With the development of an electronic interference technique, the self-defense jammer can generate mainlobe jamming using the range gate pull-off (RGPO) strategy, which brings serious performance degradation of target tracking for the ground-based warning radar. In this paper, a RGPO mainlobe jamming suppression approach is proposed, with a frequency diverse array using multiple-input multiple-output (FDA-MIMO) radar. The RGPO mainlobe jamming differs from the true target in slant range, thus it is possible to identify the true target from the RGPO mainlobe jammings by exploiting the transmit beampattern diversity of FDA-MIMO radar. A RGPO mainlobe jamming suppression approach is devised by using joint transmit–receive beamforming for a group of range sectors. The jamming suppression performance is studied, in consideration of practical time-delay of RGPO jamming. Simulation examples are provided to verify the effectiveness of the proposed approach.
Keywords	gates ; jams ; methodology ; radar ; remote sensing
Language	English
Dates of publication	2022-0320
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14061499
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Synergistic catalytic conversion and chemisorption of polysulfides from Fe/Fe3C/FeN0.0324 nanocubes modified separator for advanced Li-S batteries

Wan, Pengfei / Dong, Siyang / Xiong, Jing / Jin, Xuanyang / Lu, Shengjun / Zhang, Yufei / Fan, Haosen

Journal of Colloid And Interface Science. 2023 Nov., v. 650 p.582-592

2023

Abstract: Lithium sulfur batteries (LSBs) have been considered as one of the most promising options for next generation high-performance batteries. However, the heavy shuttle effect and inferior redox conversion during the charge/discharge processes of the ... ...

Abstract	Lithium sulfur batteries (LSBs) have been considered as one of the most promising options for next generation high-performance batteries. However, the heavy shuttle effect and inferior redox conversion during the charge/discharge processes of the batteries have greatly hindered their further applications. In this study, to address these disadvantages of LSBs, Fe/Fe₃C/FeN₀.₀₃₂₄ heterostructured nanocubes were designed and prepared through high temperature carbonization process using Prussian blue precursor. Then the Fe/Fe₃C/FeN₀.₀₃₂₄ nanocubes were used to modify the commercial polypropylene (PP) separator, which can greatly catalyze the redox transformation of polysulfides and provide sufficient active sites for chemisorption. As result, the modified separator endowed LSBs with excellent rate capacity and cycle stability, delivering a high-capacity of 1025 mAh/g at 0.5 C with nearly 100% coulombic efficiency. It also displayed a superb cycling performance with a per-cycle capacity attenuation rate of 0.09% after 300 cycles. When the current density increased to 1 C with the S loading of 1.73 mg cm⁻², Fe/Fe₃C/FeN₀.₀₃₂₄-PP separator presented a satisfactory capacity decay rate of 0.05% per cycle after 1000 cycles. Besides, it also presented outstanding electrochemical performance even at high sulfur loading of 4.5 mg cm⁻². This work has provided a new avenue for the design of nanomaterials with synergistic effect of catalytic conversion and chemisorption of polysulfides for the promotion of high-performance Li-S batteries.
Keywords	carbonization ; electrochemistry ; lithium ; nanomaterials ; polypropylenes ; redox reactions ; sulfur ; synergism ; temperature ; Lithium sulfur batteries ; Fe/Fe3C/FeN0.0324 nanocubes ; Separator ; Polysulfide adsorption ; Catalytic conversion
Language	English
Dates of publication	2023-11
Size	p. 582-592.
Publishing place	Elsevier Inc.
Document type	Article ; Online
ZDB-ID	241597-5
ISSN	1095-7103 ; 0021-9797
ISSN (online)	1095-7103
ISSN	0021-9797
DOI	10.1016/j.jcis.2023.07.022
Database	NAL-Catalogue (AGRICOLA)

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Article: A novel rumor detection with multi-objective loss functions in online social networks.

Wan, Pengfei / Wang, Xiaoming / Pang, Guangyao / Wang, Liang / Min, Geyong

Expert systems with applications

2022 Volume 213, Page(s) 119239

Abstract: COVID-19 quickly swept across the world, causing the consequent infodemic represented by the rumors that have brought immeasurable losses to the world. It is imminent to achieve rumor detection as quickly and accurately as possible. However, the existing ...

Abstract	COVID-19 quickly swept across the world, causing the consequent infodemic represented by the rumors that have brought immeasurable losses to the world. It is imminent to achieve rumor detection as quickly and accurately as possible. However, the existing methods either focus on the accuracy of rumor detection or set a fixed threshold to attain early detection that unfortunately cannot adapt to various rumors. In this paper, we focus on textual rumors in online social networks and propose a novel rumor detection method. We treat the detection time, accuracy and stability as the three training objectives, and continuously adjust and optimize this objective instead of using a fixed value during the entire training process, thereby enhancing its adaptability and universality. To improve the efficiency, we design a sliding interval to intercept the required data rather than using the entire sequence data. To solve the problem of hyperparameter selection brought by integration of multiple optimization objectives, a convex optimization method is utilized to avoid the huge computational cost of enumerations. Extensive experimental results demonstrate the effectiveness of the proposed method. Compared with state-of-art counterparts in three different datasets, the recognition accuracy is increased by an average of 7%, and the stability is improved by an average of 50%.
Language	English
Publishing date	2022-11-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	2017237-0
ISSN	0957-4174
ISSN	0957-4174
DOI	10.1016/j.eswa.2022.119239
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Synergistic catalytic conversion and chemisorption of polysulfides from Fe/Fe

Wan, Pengfei / Dong, Siyang / Xiong, Jing / Jin, Xuanyang / Lu, Shengjun / Zhang, Yufei / Fan, Haosen

Journal of colloid and interface science

2023 Volume 650, Issue Pt A, Page(s) 582–592

Abstract	Lithium sulfur batteries (LSBs) have been considered as one of the most promising options for next generation high-performance batteries. However, the heavy shuttle effect and inferior redox conversion during the charge/discharge processes of the batteries have greatly hindered their further applications. In this study, to address these disadvantages of LSBs, Fe/Fe
Language	English
Publishing date	2023-07-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	241597-5
ISSN	1095-7103 ; 0021-9797
ISSN (online)	1095-7103
ISSN	0021-9797
DOI	10.1016/j.jcis.2023.07.022
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Synergistic enhancement of chemisorption and catalytic conversion in lithium-sulfur batteries via Co

Wan, Pengfei / Peng, Xiaoli / Dong, Siyang / Liu, Xinyun / Lu, Shengjun / Zhang, Yufei / Fan, Haosen

Journal of colloid and interface science

2023 Volume 657, Page(s) 757–766

Abstract: Lithium-sulfur batteries (LSBs) show considerable potential in next-generation high performance batteries, but the heavy shuttle effect and sluggish redox kinetics of polysulfide hinder their further applications. In this paper, to address these ... ...

Abstract	Lithium-sulfur batteries (LSBs) show considerable potential in next-generation high performance batteries, but the heavy shuttle effect and sluggish redox kinetics of polysulfide hinder their further applications. In this paper, to address these shortcomings of LSBs, Co
Language	English
Publishing date	2023-12-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	241597-5
ISSN	1095-7103 ; 0021-9797
ISSN (online)	1095-7103
ISSN	0021-9797
DOI	10.1016/j.jcis.2023.12.013
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: EM-Gaze: eye context correlation and metric learning for gaze estimation.

Zhou, Jinchao / Li, Guoan / Shi, Feng / Guo, Xiaoyan / Wan, Pengfei / Wang, Miao

Visual computing for industry, biomedicine, and art

2023 Volume 6, Issue 1, Page(s) 8

Abstract: In recent years, deep learning techniques have been used to estimate gaze-a significant task in computer vision and human-computer interaction. Previous studies have made significant achievements in predicting 2D or 3D gazes from monocular face images. ... ...

Abstract	In recent years, deep learning techniques have been used to estimate gaze-a significant task in computer vision and human-computer interaction. Previous studies have made significant achievements in predicting 2D or 3D gazes from monocular face images. This study presents a deep neural network for 2D gaze estimation on mobile devices. It achieves state-of-the-art 2D gaze point regression error, while significantly improving gaze classification error on quadrant divisions of the display. To this end, an efficient attention-based module that correlates and fuses the left and right eye contextual features is first proposed to improve gaze point regression performance. Subsequently, through a unified perspective for gaze estimation, metric learning for gaze classification on quadrant divisions is incorporated as additional supervision. Consequently, both gaze point regression and quadrant classification performances are improved. The experiments demonstrate that the proposed method outperforms existing gaze-estimation methods on the GazeCapture and MPIIFaceGaze datasets.
Language	English
Publishing date	2023-05-05
Publishing country	Germany
Document type	Journal Article
ISSN	2524-4442
ISSN (online)	2524-4442
DOI	10.1186/s42492-023-00135-6
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Enhanced degradation of extracellular polymeric substances by yeast in activated sludge to achieve sludge reduction.

Wan, Pengfei / Liu, Ying / Zhang, Quandi / Jiang, Li / Chen, Heping / Lv, Wenzhou

Bioresource technology

2023 Volume 377, Page(s) 128915

Abstract: Candida Tropicalis was used to improve the dewaterability of activated sludge (AS) and reduce its biomass by degrading EPS in AS. The protein, polysaccharide, and hydrophilic amino acids in EPS decreased by 54.50, 29.20, and 61.01%, respectively. ... ...

Abstract	Candida Tropicalis was used to improve the dewaterability of activated sludge (AS) and reduce its biomass by degrading EPS in AS. The protein, polysaccharide, and hydrophilic amino acids in EPS decreased by 54.50, 29.20, and 61.01%, respectively. Meanwhile, molecular weight distribution indicated that yeast degraded macromolecular organics into small molecular ones. The direct addition of yeast to AS was more conducive to EPS degradation. With the addition of 0.75 g/L of wet yeast cells and 24 h of aeration enhanced the dewaterability of AS. The CST and MLSS decreased by 24.44 and 10.51%, respectively. After 30 days of operation of lab-scale continuous SBRs, the CST and MLSS of AS were reduced by 6.37 ± 2.01 and 3.57 ± 0.52%, respectively. FTIR spectroscopy results showed that some hydrophilic functional groups were reduced. This study provides a new approach for the in-situ reduction of AS in wastewater treatment plant.
MeSH term(s)	Sewage/chemistry ; Extracellular Polymeric Substance Matrix ; Water/chemistry ; Polysaccharides/chemistry ; Proteins ; Waste Disposal, Fluid
Chemical Substances	Sewage ; Water (059QF0KO0R) ; Polysaccharides ; Proteins
Language	English
Publishing date	2023-03-17
Publishing country	England
Document type	Journal Article
ZDB-ID	1065195-0
ISSN	1873-2976 ; 0960-8524
ISSN (online)	1873-2976
ISSN	0960-8524
DOI	10.1016/j.biortech.2023.128915
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: Temporal-Aware Refinement for Video-based Human Pose and Shape Recovery

Chen, Ming / Zhou, Yan / Jian, Weihua / Wan, Pengfei / Wang, Zhongyuan

2023

Abstract: Though significant progress in human pose and shape recovery from monocular RGB images has been made in recent years, obtaining 3D human motion with high accuracy and temporal consistency from videos remains challenging. Existing video-based methods tend ...

Abstract	Though significant progress in human pose and shape recovery from monocular RGB images has been made in recent years, obtaining 3D human motion with high accuracy and temporal consistency from videos remains challenging. Existing video-based methods tend to reconstruct human motion from global image features, which lack detailed representation capability and limit the reconstruction accuracy. In this paper, we propose a Temporal-Aware Refining Network (TAR), to synchronously explore temporal-aware global and local image features for accurate pose and shape recovery. First, a global transformer encoder is introduced to obtain temporal global features from static feature sequences. Second, a bidirectional ConvGRU network takes the sequence of high-resolution feature maps as input, and outputs temporal local feature maps that maintain high resolution and capture the local motion of the human body. Finally, a recurrent refinement module iteratively updates estimated SMPL parameters by leveraging both global and local temporal information to achieve accurate and smooth results. Extensive experiments demonstrate that our TAR obtains more accurate results than previous state-of-the-art methods on popular benchmarks, i.e., 3DPW, MPI-INF-3DHP, and Human3.6M. Comment: 20 pages, 12 figures
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	004 ; 006
Publishing date	2023-11-15
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Evaluating the value of p70s6k and mTOR signaling pathway in monitoring exercise-induced central fatigue in rats.

He, Guojian / Jiang, Hongsheng / Zhang, Enru / Wan, PengFei / Liu, GuangHui / Ji, Zhimin

Cellular and molecular biology (Noisy-le-Grand, France)

2022 Volume 68, Issue 10, Page(s) 79–83

Abstract: Exercise leads to muscle fatigue and decreased muscle strength in response to contraction activity, and besides, it causes central fatigue. In the current study, we evaluated the value of p70s6k and mTOR signaling pathways in monitoring exercise-induced ... ...

Abstract	Exercise leads to muscle fatigue and decreased muscle strength in response to contraction activity, and besides, it causes central fatigue. In the current study, we evaluated the value of p70s6k and mTOR signaling pathways in monitoring exercise-induced central fatigue in rats. For this purpose, 12 male rats were divided into control (n=6) and intervention (n=6) groups. The intervention group performed five sessions of climbing a one-meter ladder with a weight hanging on the tail for eight weeks. The weekly load increase was based on the mice's body weight, so it reached 30% in the first week to 200% in the eighth week. In order to evaluate central fatigue, the sedation score system was used. Forty-eight hours after the last training session, a blood sample was prepared, the expression level of related proteins was measured by the ELISA method, and the one-way ANOVA method was used for statistical analysis. This study showed that central fatigue did not significantly affect the total mTOR protein content (F=0.720, P=0.421). However, the level of phosphorylated mTOR in the intervention group had a significant difference compared to the control group (F=684.893, P=0.001, Eta2=0.988). There was a significant effect for total p70S6K content (F=5.84, P=0.04, Eta2=0.42). Also, for phosphorylated p70S6K, there was a significant difference between the mentioned groups (F=7.262, P=0.027, Eta2=0.476). In General, it was shown in this study that central fatigue is directly related to the increase in p70S6K production and phosphorylation of p70S6K and mTOR. Therefore, these two proteins can probably be evaluated for monitoring exercise-induced central fatigue, although we need more evaluations.
MeSH term(s)	Mice ; Rats ; Male ; Animals ; Ribosomal Protein S6 Kinases, 70-kDa/metabolism ; Ribosomal Protein S6 Kinases, 70-kDa/pharmacology ; Signal Transduction ; TOR Serine-Threonine Kinases/metabolism ; Phosphorylation ; Muscle, Skeletal/metabolism
Chemical Substances	Ribosomal Protein S6 Kinases, 70-kDa (EC 2.7.11.1) ; TOR Serine-Threonine Kinases (EC 2.7.11.1) ; mTOR protein, rat (EC 2.7.1.1)
Language	English
Publishing date	2022-09-30
Publishing country	France
Document type	Journal Article
ZDB-ID	1161779-2
ISSN	1165-158X ; 0145-5680
ISSN (online)	1165-158X
ISSN	0145-5680
DOI	10.14715/cmb/2022.68.10.12
Database	MEDical Literature Analysis and Retrieval System OnLINE

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