Object Recognition System of Sonar Image Based on Multiple Invariant Moments and BP Neural Network

Jianning Han,Peng Yang,Lu Zhang 보안공학연구지원센터 2014 International Journal of Signal Processing, Image Vol.7 No.5

Object Recognition System of Sonar Image plays an important role in the field of underwater defense According to pattern recognition theory, principle processes of a typical object recognition system is introduced . To achieve robust performance, image de-noising, sharpening, binary transformation, edge detection and other image processing techniques are discussed . The paper presents a novel object recognition system using multiple invariant moments as the main feature of the object, and the detected feature is trained by BP neural network so that the classification error can be minizied. Finally, we implemented the proposed approach by visual air plane recognition, the experimental results demonstrates the robustness and efficiency of the presented approach.

Experimental and numerical simulation study on the hydrodynamic characteristics of spherical and irregular-shaped particles in a 3D liquid-fluidized bed

Jian Peng,Wei Sun,Haisheng Han,Le Xie,Yao Xiao 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.11

Recently, the fluidized bed has been shown to assist in improving the recovery of coarse minerals during flotation. In this study, the fluidization characteristics of spherical and irregular particles in a three-dimensional liquidsolid fluidized bed were studied by combining experimental and computational fluid dynamics (CFD) methods. Fluidization experiments were performed to investigate the effect of superficial velocity, particle shape, and particle size on solid holdup and bed expansion height. CFD model coupled different drag models for spherical and irregular particles were developed and validated by the experimental data of bed expansion ratio and pressure drop. Based on 3D CFD simulations, the axial and radial direction distributions of solid holdup, axial velocity, as well as granular temperature were obtained. Their distribution characteristics were analyzed and discussed in detail. The reported experimental data and simulation results can improve the understanding of irregular granular liquid-solid fluidized bed and provide a basis for further research on fluidized bed flotation.

Realgar transforming solution suppresses angiogenesis and tumor growth by inhibiting VEGF receptor 2 signaling in vein endothelial cells

Peng Song,Yang Hai,Xin Wang,Longhe Zhao,Baoqiang Chen,Peng Cui,Qin-Jian Xie,Lan Yu,Yang Li,Zhengrong Wu,Hong Yu Li 대한약학회 2018 Archives of Pharmacal Research Vol.41 No.4

Realgar (As4S4), as an arsenic sulfide mineraldrug, has a good therapeutic reputation for anticancer inTraditional Chinese Medicine, and has recently beenreported to inhibit angiogenesis in tumor growth. However,considering the poor solubility and low bioavailability ofrealgar, large dose of realgar and long period of treatmentare necessary for achieving the effective blood medicineconcentration. In present study, we resolved the crucialproblem of poor solubility of realgar by using intrinsicbiotransformation in microorganism, and investigatedunderlying mechanisms of realgar transforming solution(RTS) for antiangiogenesis. Our results demonstrated thatRTS had a strong activity to inhibit HUVECs proliferation,migration, invasion, and tube formation. Moreover, RTSinhibited VEGF/bFGF-induced phosphorylation ofVEGFR2 and the downstream protein kinases includingERK, FAK, and Src. In vivo zebrafish and chickenchorioallantoic membrane model experiments showed thatRTS remarkably blocked angiogenesis. Finally, comparedwith the control, administration of 2.50 mg/kg RTSreached more than 50% inhibition against H22 tumorallografts in KM mice, but caused few toxic effects in thehost. The antiangiogenic effect was indicated by CD31immunohistochemical staining and alginate-encapsulatedtumor cell assay. In summary, our findings suggest thatRTS inhibits angiogenesis and may be a potential drugcandidate in anticancer therapy.

비등구간 멤버십 함수를 이용한 챔버 냉각 시스템의 강인한 퍼지제어

Jian-peng Cao,정석권(Seok-kwon Jeong),정영미(Young-mi Jung) 대한설비공학회 2012 대한설비공학회 학술발표대회논문집 Vol.2012 No.6

Impact of Chronic Kidney Disease on Long-Term Outcome in Coronary Bypass Candidates Treated with Percutaneous Coronary Intervention

Jian-Rong Peng,Hsin-Fu Lee,Chi-Jen Chang,Chun-Li Wang,Ying-Chang Tung 대한심장학회 2017 Korean Circulation Journal Vol.47 No.1

Background and Objectives: The aim of this study was to identify clinical, lesional, and procedural predictors for adverse outcomes of coronary angioplasty and stenting in coronary bypass candidates. Subjects and Methods: This cohort study included 107 consecutive candidates for coronary artery bypass surgery who underwent percutaneous coronary intervention with multiple coronary stents between Jan 2004 and Dec 2011. The study endpoint was major adverse cardiovascular events (MACEs) including all-cause mortality, nonfatal myocardial infarction, repeat revascularization, and stent thrombosis. Follow up was from the date of index percutaneous coronary intervention to the date of the first MACE, date of death, or December 31, 2015, whichever came first. Results: In this study (age 62.3±11.2 years, 86% male), 38 patients (36%) had MACE. Among baseline, angiographic, and procedural parameters, there were significant differences in lower left ventricular ejection fraction (LVEF) and worse renal function. In a Cox regression model, LVEF and chronic kidney disease (CKD) were significant predictors for MACE. After a multivariate adjustment, CKD remained a significant predictor of MACEs (hazard ratio: 2.97, 95% confidence interval: 1.50-5.90). Conclusions: For coronary bypass candidates who were treated with coronary angioplasty and stenting, CKD seems to be the strongest predictor for adverse outcomes compared with other traditional factors.

Parameter Analysis of Progressive Collapse Simulation of Long-Span Spatial Grid Structures

Jian-peng Wei,Li-Min Tian,Ji-Ping Hao 한국강구조학회 2019 International Journal of Steel Structures Vol.19 No.6

To accurately simulate the collapse process of long-span spatial grid structures, certain key parameters should be treated carefully. In the present study, the eff ects of the strain rate and the damage and fracture parameters were analyzed. A numerical simulation shows the following information: (1) First, the Cowper-Symonds model is utilized to simulate the rate-dependent material properties, illustrating that the strain rate eff ect can be overlooked for a progressive collapse simulation. (2) Then, the constant failure strain method is used for a damage and fracture simulation. The fi rst fracture of the members is postponed, and the fi nal failure patterns are therefore quite diff erent with an increase in the initial damage-equivalent plastic strain. (3) And, the progressive collapse pattern is unaff ected while the fracture is delayed or prevented with a greater equivalent plastic strain of the fi nal failure. These results can provide a reference for determining the damage and fracture parameters. (4) Finally, the equivalent plastic strain of the initial damage is relevant to the stress triaxiality. After considering the stress triaxiality, there is a signifi cant diff erence compared with the constant failure strain model. The stress triaxiality must therefore be considered.

A Human Case of Lumbosacral Canal Sparganosis in China

Jian-Feng Fan,Sheng Huang,Jing Li,Ren-Jun Peng,He Huang,Xi-Ping Ding,Li-Ping Jiang,Jian Xi 대한기생충학열대의학회 2021 The Korean Journal of Parasitology Vol.59 No.6

Dexmedetomidine promotes the progression of hepatocellular carcinoma through hepatic stellate cell activation

Chen Peng,Luo Xiaojun,Dai Guanqi,Jiang Yuchuan,Luo Yue,Peng Shuang,Wang Hao,Xie Penghui,Qu Chen,Lin Wenyu,Hong Jian,Ning Xue,Li Aimin 생화학분자생물학회 2020 Experimental and molecular medicine Vol.52 No.-

Dexmedetomidine (DEX) is an anesthetic that is widely used in the clinic, and it has been reported to exhibit paradoxical effects in the progression of multiple solid tumors. In this study, we sought to explore the mechanism by which DEX regulates hepatocellular carcinoma (HCC) progression underlying liver fibrosis. We determined the effects of DEX on tumor progression in an orthotopic HCC mouse model of fibrotic liver. A coculture system and a subcutaneous xenograft model involving coimplantation of mouse hepatoma cells (H22) and primary activated hepatic stellate cells (aHSCs) were used to study the effects of DEX on HCC progression. We found that in the preclinical mouse model of liver fibrosis, DEX treatment significantly shortened median survival time and promoted tumor growth, intrahepatic metastasis and pulmonary metastasis. The DEX receptor (ADRA2A) was mainly expressed in aHSCs but was barely detected in HCC cells. DEX dramatically reinforced HCC malignant behaviors in the presence of aHSCs in both the coculture system and the coimplantation mouse model, but DEX alone exerted no significant effects on the malignancy of HCC. Mechanistically, DEX induced IL-6 secretion from aHSCs and promoted HCC progression via STAT3 activation. Our findings provide evidence that the clinical application of DEX may cause undesirable side effects in HCC patients with liver fibrosis.

Evaluation of Computer-Assisted Quantitative Volumetric Analysis for Pre-Operative Resectability Assessment of Huge Hepatocellular Carcinoma

Tang, Jian-Hua,Yan, Fu-Hua,Zhou, Mei-Ling,Xu, Peng-Ju,Zhou, Jian,Fan, Jia Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.5

Purpose: Hepatic resection is arguably the preferred treatment for huge hepatocellular carcinoma (H-HCC). Estimating the remnant liver volume is therefore essential. This study aimed to evaluate the feasibility of using computer-assisted volumetric analysis for this purpose. Methods: The study involved 40 patients with H-HCC. Laboratory examinations were conducted, and a contrast CT-scan revealed that 30 cases out of the participating 40 had single-lesion tumors. The remaining 10 had less than three satellite tumors. With the consensus of the team, two physicians conducted computer-assisted 3D segmentation of the liver, tumor, and vessels in each case. Volume was automatically computed from each segmented/labeled anatomical field. To estimate the resection volume, virtual lobectomy was applied to the main tumor. A margin greater than 1 cm was applied to the satellite tumors. Resectability was predicted by computing a ratio of functional liver resection (R) as (Vresected-Vtumor)/(Vtotal-Vtumor) x 100%, applying a threshold of 50% and 60% for cirrhotic and non-cirrhotic cases, respectively. This estimation was then compared with surgical findings. Results: Out of the 22 patients who had undergone hepatectomies, only one had an R that exceeded the threshold. Among the remaining 18 patients with non-resectable H-HCC, 12 had Rs that exceeded the specified ratio and the remaining 6 had Rs that were < 50%. Four of the patients who had Rs less than 50% underwent incomplete surgery due to operative findings of more extensive satellite tumors, vascular invasion, or metastasis. The other two cases did not undergo surgery because of the high risk involved in removing the tumor. Overall, the ratio of functional liver resection for estimating resectability correlated well with the other surgical findings. Conclusion: Efficient pre-operative resectability assessment of H-HCC using computer-assisted volumetric analysis is feasible.

Research on Robustness Tracking of Maneuvering Target for Bionic Robot

Wang Peng,Wu Jian,Zhang Yuan,Li Jixiang,Zhang Peng 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.12

In order to improve vision tracking quality of the bionic robot, the new automatic tracking algorithm system is proposed in this paper. Base on design of FPGA image acquisition system, the scene noise is removed by adaptive wiener filtering. Aiming at the problem of ROI region extraction in the scene, the seed pixel is selected with background subtraction, orderly, the neighborhood point is judged, the label of the primary selection seed is calibrated. The scene image segmentation algorithm is proposed based on snake model. The matching process is to find the maximum optimization process of the similar function, and the gradient drop method is adopted in mean shift algorithm. Extended kalman filtering is used to realize the robustness state estimation and prediction of the target tracking system. The results given by tracing experiment indicate that the proposed detailed algorithm is effective for partial loss of maneuvering target.