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Real Scene Text Image Super-Resolution Based on Multi-Scale and Attention Fusion
Xinhua Lu,Haihai Wei,Li Ma,Qingji Xue,Yonghui Fu 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.4
Plenty of works have indicated that single image super-resolution (SISR) models relying on synthetic datasetsare difficult to be applied to real scene text image super-resolution (STISR) for its more complex degradation. The up-to-date dataset for realistic STISR is called TextZoom, while the current methods trained on this datasethave not considered the effect of multi-scale features of text images. In this paper, a multi-scale and attentionfusion model for realistic STISR is proposed. The multi-scale learning mechanism is introduced to acquiresophisticated feature representations of text images; The spatial and channel attentions are introduced to capturethe local information and inter-channel interaction information of text images; At last, this paper designs amulti-scale residual attention module by skillfully fusing multi-scale learning and attention mechanisms. Theexperiments on TextZoom demonstrate that the model proposed increases scene text recognition’s (ASTER)average recognition accuracy by 1.2% compared to text super-resolution network.
Xianglan Kong,Xinhua Ma,Yunying Xie,Shengxin Cai,Tianjiao Zhu,Qian Qun Gu,De-Hai Li 대한약학회 2013 Archives of Pharmacal Research Vol.36 No.6
In our screening for antitubercular agents, fivenaphtho-c-pyrones including two new naphtho-c-pyronesglycosides, indigotides G and H (1 and 2), and two diphenylethers were isolated from the extract of a sponge-derivedfungus Metarhizium anisopliae mxh-99. Their structureswere established on the basis of chemical and spectroscopicevidence. The antitubercular activities of all the compoundswere evaluated against Mycobacterium phlei. The knownisochaetochromin B2 (6) and ustilaginoidin D (7) exhibitedthe highest activity with MICs 50.0 lg/mL.
A New Type of CPPM Synchronous Machine with Stator Axial Magnetic Ring
Kun Xie,Xinhua Li,Jimin Ma,Xiaojiang Wu,Hong Yi,Gangyi Hu 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.3
This paper proposes a new type of consequent-pole permanent-magnet (CPPM) machine with stator axial magnetic ring that increases torque capability over a wide speed range and enhances efficiency for the built-in rare-earth permanent magnet synchronous machine used in new energy vehicles. The excitation winding of the CPPM hybrid excitation synchronous machine in the stator is replaced by ferrite magnetic ring to simplify the structure and manufacturing process of the machine. The basic structure and magnetic regulation principle of the proposed machine are introduced and compared with the traditional interior rare-earth permanent magnet synchronous machine and CPPM hybrid excitation synchronous machine. Finally, experimental results of a new type of CPPM synchronous motor prototype with axial magnetic ring are introduced in the paper.
A New Type of CPPM Machine with Stator Axial Magnetic Ring
Kun Xie,Xinhua Li,Jimin Ma,Xiaojiang Wu,Hong Yi,Gangyi Hu 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.3
This paper proposes a new type of consequent-pole permanent-magnet (CPPM) machine with stator axial magnetic ring that increases torque capability over a wide speed range and enhances efficiency for the built-in rare-earth permanent magnet synchronous machine used in new energy vehicles. The excitation winding of the CPPM hybrid excitation synchronous machine in the stator is replaced by ferrite magnetic ring to simplify the structure and manufacturing process of the machine. The basic structure and magnetic regulation principle of the proposed machine are introduced and compared with the traditional interior rare-earth permanent magnet synchronous machine and CPPM hybrid excitation synchronous machine. Finally, experimental results of a new type of CPPM synchronous motor prototype with axial magnetic ring are introduced in the paper.
Zhang Yifan,Shen Jinhuang,Ma Xinhua,Yao Mingshuang,Zhang Yonghong,Cao Dairong 한국응용생명화학회 2022 Applied Biological Chemistry (Appl Biol Chem) Vol.65 No.3
Acanthus ilicifolius var. xiamenensis (Acanthaceae), a mangrove found in southeastern China, is an herb with strong antiinflammatory property. Phytochemical study of the mangrove showed that the plant has a high content of phenylethanol glycoside acteoside (AC). In this research, the anti-inflammatory activity of acteoside on dextran sodium sulphate (DSS)-mediated mouse ulcerative colitis model were studied. For DSS- mediated colitis in mice, AC can reduce weight loss and DAI score in UC mice, suppress colon shortening and alleviate colon pathological injury. Moreover, AC treatment notably up-regulates IL-10, down-regulates the levels of IL-1β and TNF-α, and inhibits the protein expression of JAK2/STAT3, NF-κB p65, IKKα/β and IKB of colon. In addition, after AC treatment, the level of MDA and NO in colonic tissue were remarkably decreased, while the levels of GSH, SOD, and Nrf2 and HO-1 protein expression levels were significantly increased. These results indicate that AC can activate the Nrf2 signaling pathway by inhibiting the JAK/STAT, iNOS/eNOS and NF-κB signaling cascades, enhance the intestinal barrier function, and effectively reduce DSS-induced UC in mice.
Anti-Inflammatory Activity of Phenylethanoids from Acanthus ilicifolius var. xiamenensis
Yifan Zhang,Jinhuang Shen,Xinhua Ma,Yubin He,Yonghong Zhang,Dairong Cao 한국식품영양과학회 2023 Journal of medicinal food Vol.26 No.2
Acanthus ilicifolius var. xiamenensis is a traditional herbal medicine in China. In this study, the anti-inflammatory activities of active ingredients of A. ilicifolius var. xiamenensis were investigated in RAW 264.7 cells and Freund's complete adjuvant-induced arthritic rats. Results showed that n-butanol extract exerted antiarthritic potential by reducing paw edema, arthritis score, and altered hematological and biochemical parameters in experimental rats. Phytochemical studies on n-butanol extract resulted in the isolation of five alkaloids (1–5) and five phenylethanoids (6–10). The anti-inflammatory assay of compounds 1–10 on lipopolysaccharide (LPS)-treated RAW 264.7 cells indicated that phenylethanoids 9 and 10 exhibited notable inhibitory activities. The result indicated that compounds 9 and 10 attenuated inflammation by decreasing the production of nuclear factor kappa-B (NF-κB) p65, inhibitory subunit of NF kappa B alpha, Janus kinase 2 (JAK2), signal transducer and activator of transcription 3 (STAT3), and inducible nitric oxide synthase in LPS-mediated RAW 264.7 macrophages. Phenylethanoids 9 and 10 increased the expression of interleukin-10 and endothelial nitric oxide synthase. Therefore, compounds 9 and 10 showed anti-inflammatory activity by regulation of NF-κB and JAK/STAT signaling pathways.
Research of NCS Algorithm in Cloud Demand System
Guo Zheng-Hong,Ma Xinhua 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.6
In order to reduce the bandwidth overhead and the node request rejection rate of the cloud video-on-demand server, this paper builds the cloud auxiliary framework and proposes the neighbors and chunks selection algorithm, which contains the node selection sub-algorithm and the block download sub-algorithm. The buffer-based node selection algorithm treats the download point as the benchmark to effectively find the neighbor nodes that can provide the video data, and the buffer-based block download algorithm calculates the required minimum buffer values of the two different kinds of block download strategies under the framework, which provides the theoretical basis for the download method of the video block. The experimental results show that the algorithm in this paper achieves good effects in the aspects of the bandwidth overhead of the server, the request rejection rate and the download rate.
Research on Tagging Recommendation Algorithm Based on Relevance and Diversity
Guo Zheng-Hong,Ma Xinhua,Zhao Kai 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.10
The traditional recommendation algorithms of image tagging ignore the diversity between the visual content information and the tags recommended, which causes the recommended results have the problem of tag ambiguity, tag redundancy and so on. Therefore, this paper proposes the recommendation algorithm of image tagging based on relevance and diversity. The algorithm defines the relevance and diversity of a label set, and selects a label set which can reasonably balance the relevance and diversity to recommend to the user. The experimental results show that this algorithm improves the relevance between the recommended results and the image, and makes the recommended results be able to reflect the image content thoroughly at the same time.