Research on Key Technologies of End to side Computing Network based on Field Level AI Reasoning for Terminal Equipment

Mao Ni,Ting Zhou,Hengjiang Wang,Fang Cui 대한전자공학회 2023 IEIE Transactions on Smart Processing & Computing Vol.12 No.6

This study analyzes the field-level AI reasoning technology of its terminal equipment and applies it to optimizing computing resources under the cooperation of multiple UAVs. The experimental results indicates that the performance of the ICEM method is superior to the other three methods, and the maximum value is 15 × 10<SUP>8</SUP> bits/Joule. An increase of 10 thresholds can reduce the number of iterations 50-fold when the amount of CDF iterations is 0.9. This can reach more than 20 times if the number of UAVs and mobile terminal devices doubles. The UAV will run at the maximum speed in most time slots, and the maximum computation of the terminal equipment can reach 15 Mbits when the entire working cycle is 30 seconds. Therefore, the algorithm proposed in this study achieves higher computing energy efficiency based on less convergence time and is effective in end-to-end computing power network computing resource scheduling.

Reinforcement of Waterborne Polyurethane Films with Poly(acrylic acid)-Modified Palygorskite Fibers

Yu Mao,Lingli Ni,Changyou Yang,Peng Cai,Weigang Du,Xiaoyan Gao 한국섬유공학회 2020 Fibers and polymers Vol.21 No.9

Palygorskite (PAL) is a natural fibrous clay mineral which attracted tremendous attention as reinforcing agent topolymers. In this paper, a facile and environmental friendly modification process of PAL by poly acrylic acid (PAA) via insitupolymerization in PAL/water gel has been reported. The effects of PAA modified PAL (PAA-PAL) on the mechanical andthermal properties of waterborne polyurethane (WPU) nanocomposites have been investigated. Scanning electronmicroscopy (SEM) demonstrated that the dispersion of PAL has improved dramatically after PAA modification. Tensile testsshowed that PAA-PAL has a significant reinforcement effect on WPU matrix. Addition of 10 wt% PAA-PAL, the tensilestrength and the Young’s modulus of WPU composites increased 235 % and 388 %, respectively. Furthermore, the thermalstability of WPU also has been distinctly improved via addition of PAA-PAL.

Research on Semantic Web Service Composition Based on Binary Tree

Shengli Mao,Hui Zang,Bo Ni 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.2

With the rapid development of cloud computing and service computing, Web services are combined to form the composite service with a large granularity is an important research direction at present. The current service composition methods have the problems of low composition efficiency and accuracy, this paper proposes a semantic Web service composition method based on the binary tree. This method uses the ontology semantic reasoning relationship and binary tree theory to composite Web services. The composition relations between Web service interfaces are mainly considered. The approach can enhance the efficiency and accuracy of service composition, and the experiments are used to validate and analyze the proposed methods.

Ginsenoside Rg3 ameliorates myocardial glucose metabolism and insulin resistance via activating the AMPK signaling pathway

Jingyu Ni,Zhihao Liu,Miaomiao Jiang,Lan Li,Jie Deng,Xiaodan Wang,Jing Su,Yan Zhu,Feng He,Jingyuan Mao,Xiumei Gao,Guanwei Fan 고려인삼학회 2022 Journal of Ginseng Research Vol.46 No.2

Background: Ginsenoside Rg3 is one of the main active ingredients in ginseng. Here, we aimed to confirm its protective effect on the heart function in transverse aortic coarctation (TAC)-induced heart failure mice and explore the potential molecular mechanisms involved. Methods: The effects of ginsenoside Rg3 on heart and mitochondrial function were investigated by treating TAC-induced heart failure in mice. The mechanism of ginsenoside Rg3 for improving heart and mitochondrial function in mice with heart failure was predicted through integrative analysis of the proteome and plasma metabolome. Glucose uptake and myocardial insulin sensitivity were evaluated using micro-positron emission tomography. The effect of ginsenoside Rg3 on myocardial insulin sensitivity was clarified by combining in vivo animal experiments and in vitro cell experiments. Results: Treatment of TAC-induced mouse models with ginsenoside Rg3 significantly improved heart function and protected mitochondrial structure and function. Fusion of metabolomics, proteomics, and targeted metabolomics data showed that Rg3 regulated the glycolysis process, and Rg3 not only regulated glucose uptake but also improve myocardial insulin resistance. The molecular mechanism of ginsenoside Rg3 regulation of glucose metabolism was determined by exploring the interaction pathways of AMPK, insulin resistance, and glucose metabolism. The effect of ginsenoside Rg3 on the promotion of glucose uptake in IR-H9c2 cells by AMPK activation was dependent on the insulin signaling pathway. Conclusions: Ginsenoside Rg3 modulates glucose metabolism and significantly ameliorates insulin resistance through activation of the AMPK pathway.

Thiazinogeldanamycin, a New Geldanamycin Derivative Produced by Streptomyces hygroscopicus 17997

( Si Yang Ni ),( Lin Zhuan Wu ),( Hong Yuan Wang ),( Mao Luo Gan ),( Yu Cheng Wang ),( Wei Qing He ),( Yi Guang Wang ) 한국미생물 · 생명공학회 2011 Journal of microbiology and biotechnology Vol.21 No.6

A new geldanamycin (GDM) derivative was discovered and isolated from the fermentation broth of Streptomyces hygroscopicus 17997. Its chemical structure was elucidated as thiazinogeldanamycin by LC-MS, sulfur analysis, and NMR. The addition of cysteine to the fermentation medium significantly stimulated the production level of thiazinogeldanamycin, suggesting cysteine as a precursor of thiazinogeldanamycin production. Although showing a decreased cytotoxicity against HepG2 cancer cells, thiazinogeldanamycin exhibited an improved water solubility and photostability. Thiazinogeldanamycin may represent the first natural GDM derivative characterized so far that uses GDM as its precursor. Its appearance also clearly indicates that an appropriate end-point of fermentation is of critical importance for the maximal production of GDM by Streptomyces hygroscopicus 17997.

Corroded and loosened bolt detection of steel bolted joint based on improved you only look once network and line segment detector

Hao Wang,Youhao Ni,Jian-Xiao Mao,Yuguang Fu,Zhuo Xi 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.32 No.1

Steel bolted joint is an important part of steel structure, and its damage directly affects the bearing capacity and durability of steel structure. Currently, the existing research mainly focuses on the identification of corroded bolts and corroded bolts respectively, and there are few studies on multiple states. A detection framework of corroded and loosened bolts is proposed in this study, and the innovations can be summarized as follows: (i) Vision Transformer (ViT) is introduced to replace the third and fourth C3 module of you-only-look-once version 5s (YOLOv5s) algorithm, which increases the attention weights of feature channels and the feature extraction capability. (ii) Three states of the steel bolts are considered, including corroded bolt, bolt missing and clean bolt. (iii) Line segment detector (LSD) is introduced for bolt rotation angle calculation, which realizes bolt looseness detection. The improved YOLOv5s model was validated on the dataset, and the mean average precision (mAP) was increased from 0.902 to 0.952. In terms of a lab-scale joint, the performance of the LSD algorithm and the Hough transform was compared from different perspective angles. The error value of bolt loosening angle of the LSD algorithm is controlled within 1.09%, less than 8.91% of the Hough transform. Furthermore, the proposed framework was applied to fullscale joints of a steel bridge in China. Synthetic images of loosened bolts were successfully identified and the multiple states were well detected. Therefore, the proposed framework can be alternative of monitoring steel bolted joints for management department.

A Dynamic Portrait Segmentation by Merging Colors and Depth Information

Li-Hong Juang,Ming-Ni Wu,Feng-Mao Tsou 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.5

In this paper, we proposed a new method to improve the dynamic portrait segmentation in Kinect which always causes the problem of incomplete image segmentation of portrait due to the loss of the depth. This problem can be solved by using the color information to reinforce the areas where the depth is uncertain. We can segment the portrait’s foreground more completely using the proposed method. First, the depth information can be divided into foreground, background, uncertain areas to produce a judging area for the foreground’s uncertain areas. Secondly, the volunteer image will be segmented by Sobel edge detection, watershed and other steps in color information then be treated as the characteristic value of color area to calculate the mean value and standard deviation respectively. Finally, we chose the best image from these processing by comparing the color feature of the foreground edge and the judging area. The results show that we can completely segment out the portrait image as well as reduce its error rate significantly.

Welding parameters prediction for arbitrary layer height in robotic wire and arc additive manufacturing

Zeqi Hu,Xunpeng Qin,Yifeng Li,Mao Ni 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.4

In wire and arc additive manufacturing, the weld bead geometry determined the slicing layer height, which was decided by the welding parameters. Generally, the determination of the welding parameters relied on empirical and experimental data through the trial-and-error methods that incur considerable time and cost. To obtain the proper welding process parameters according to the desired single bead geometry and layer height, a full factorial experimental design matrix was applied to collect the original data of welding parameters and bead geometrical variables. A forward artificial neural network (FANN) was built to predict the bead geometry form the welding parameters. Then, a closed-loop iteration method combined a genetic algorithm (GA) and the FANN model (FANN-GA) was developed to search for the most optimal welding process parameters in accordance with the selected bead geometrical variables. The results confirmed that the FANN-GA model has a good performance on the backward prediction of the welding process parameters compared with the direct backward artificial neural network (BANN). Several groups of single layer multi-bead and multi-layer multi-bead experiment were performed to testify the proposed method, and the relative error between the desired and actual layer height was small. The proposed method makes it possible to fabricate the component with an arbitrary desired layer height, and could be used in the adaptive slicing additive manufacturing or surface coating.

cDNA Cloning and Expression Analysis of a Novel Human F-Box Only Protein

Haipeng Cheng,Yushu Ma,Xiaohua Ni,Min Jiang,Lingchen Guo,Wei Jin,Weiwen Xu,Gentao Cao,Chaoneng Ji,Kang Ying,Shaohua Gu,Yuhong Ma,Yi Xie,Yumun Mao 한국분자세포생물학회 2002 Molecules and cells Vol.14 No.1

F-box proteins are an expanding family of eukaryotic proteins that are characterized by an approximately 40 amino acid motif. Some F-box proteins are critical for the controlled degradation of cellular regulatory proteins. During a large-scale sequencing analysis of a human fetal brain cDNA library, we isolated a cDNA clone that encodes a novel F-box protein. It showed a 90.0% identity with the previously isolated mouse F-box protein16 at the amino acid level. Northern blot analysis showed no detectable expression, while re-verse transcription-polymerase chain reaction analysis indicated that FBXO16 was expressed in the heart, spleen, and colon. By mapping, we localized the FBXO16 gene to the human chromosome 8p12. The FBXO16 gene consisted of 9 exons that spanned 67,816 bp of human genomic DNA.

Grain Refinement and Strengthening Mechanisms of In-situ Follow-up Hammering-Assisted Wire Arc Additive Manufacturing for Hydraulic Turbine Blade Repairing

Xiaochen Xiong,Xunpeng Qin,Lin Hua,Gang Wan,Shilong Wei,Mao Ni,Zeqi Hu 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.6

An in-situ follow-up hammering-assisted (FH) wire arc additive manufacturing (WAAM) process is proposed for hydraulicturbine blade repairing. With different hammering intervention temperatures above the austenite recrystallization temperature(Tre-γ), the influence and mechanism of the process on the grain size of prior austenite grains and room-temperaturemartensite, as well as the texture of 0Cr13Ni5Mo deposited layers are systematically studied. The OM, SEM and EBSD areused for characterization. The repairing layer of large-sized blade is dominated with the coarse columnar grains with severalmillimeters in length, and the grain size is rated as grade 0. After the FH process, the prior austenite grains are significantlyrefined to grade 8. As the hammering temperature increases, the recrystallized austenite grains gradually grow and coarsenowing to the higher ambient temperature. FH at 950 ℃, a temperature slightly higher than the Tre-γ can achieve the austenitegrains with excellent grain refinement effect. Meanwhile, thanks to microstructure inheritance, the room-temperature martensiticis also refined from 4.69 to 2.47 μm, and the typical < 100 > fibre texture content in the deposited layer is obviouslyreduced with the texture intensity reduced from 6.68 to 2.95. Furthermore, the yield strength is increased by about 200 MPa. The main strengthening mechanisms are grain refinement strengthening and dislocation strengthening, and the contributionsto the yield strength are 96.1 MPa and 79 MPa respectively. Additionally, the FH process is also expected to simultaneouslyimprove the formability of the blade repaired layer.