Multistage Pulse Jamming Suppression Algorithm for Satellite Navigation Receiver

Xiaobo Yang,Jining Feng,Ying Xu 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.1

A novel multistage pulse jamming suppression algorithm was proposed to solve the anti-pulse jammingproblem encountered in navigation receivers. Based on the characteristics of the short duration of pulsejamming and distribution characteristics of satellite signals, the pulse jamming detection threshold was derived. From the experiments, it was found that the randomness of pulse jamming affects jamming suppression. Onthis basis, the principle of the multistage anti-pulse jamming algorithm was established. The effectiveness ofthe anti-jamming algorithm was verified through experiments. The characteristics of the algorithm includesimple determination of jamming detection threshold, easy programming, and complete suppression of pulsejamming.

Highly Efficient and Precise DOA Estimation Algorithm

Xiaobo Yang 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.3

Direction of arrival (DOA) estimation of space signals is a basic problem in array signal processing. DOAestimation based on the multiple signal classification (MUSIC) algorithm can theoretically overcome theRayleigh limit and achieve super resolution. However, owing to its inadequate real-time performance andaccuracy in practical engineering applications, its applications are limited. To address this problem, in thisstudy, a DOA estimation algorithm with high parallelism and precision based on an analysis of thecharacteristics of complex matrix eigenvalue decomposition and the coordinate rotation digital computer(CORDIC) algorithm is proposed. For parallel and single precision, floating-point numbers are used toconstruct an orthogonal identity matrix. Thus, the efficiency and accuracy of the algorithm are guaranteed. Furthermore, the accuracy and computation of the fixed-point algorithm, double-precision floating-pointalgorithm, and proposed algorithm are compared. Without increasing complexity, the proposed algorithm canachieve remarkably higher accuracy and efficiency than the fixed-point algorithm and double-precisionfloating-point calculations, respectively.

Synthesis of Porous NiMo Sulfide Microspheres for High-Performance Dye-Sensitized Solar Cells and Supercapacitor

Wen Yang,Bin Xia,Jiacheng Lu,Peizhi Yang,Xiaobo Chen 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.4

"Novel hierarchical porous NiMoS4 microspheres with high electrochemical performance was successfully prepared using a facile one-step hydrothermal method. The dual application of porous NiMoS4 microspheres in energy harvesting and storage (i.e., dye-sensitized solar cells (DSSCs) and supercapacitors (SCs), respectively) is explored. In contrast to NiS2 nanosheets, MoS2 nanosheets and Pt counter electrodes (CEs), the NiMoS4 microspheres CE demonstrated the lowest charge transfer resistance and highest electrocatalytic activity for the I3 - /I - redox couple reaction. The NiMoS4-based DSSC showed a higher power conversion efficiency (8.9%) even than that of Pt-based DSSC (8.7%) under simulated standard global AM 1.5G sunlight (100 mW cm -2). As an electroactive material for SCs, the assembled NiMoS4//AC asymmetric supercapacitor showed excellent specific capacitance (118.7 F g -1 at 1 Ag -1), high energy density of 42.2 Wh kg -1 (with a power density of 799.2 W kg -1), and superior cycling durability with a specific capacitance retention of 79.5% after 9000 cycles at 3 A g -1."

Modeling and analysis of a rotational piezoelectric energy harvester with limiters

Xiaobo Rui,Zhoumo Zeng,Yibo Li,Yu Zhang,Zi Yang,Xinjing Huang,Zhou Sha 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.11

A rotational piezoelectric energy harvester has the ability to convert rotation mechanical energy into electric power. The piezoelectric harvester with cantilever based on gravity excitation has received great attention. Given that gravity excitation is greater than conventional vibration excitation, and large mass are often used in low-frequency applications, large amplitudes pose a significant threat to the life of a harvester. In this study, a rotational energy harvester with limiters is investigated to promote practical development. This study establishes a theoretical model verified by experiments. Results show that stiffness has little influence on the limiting effect. In the experimental conditions, the output after 2000 N/m is basically the same. The peak value of the output voltage is linearly proportional to the space. Given that an impact excitation is generated in the collision, the limiter widens the frequency band of the output in the upsweep.

Suppression of Aurora-A oncogenic potential by c-Myc downregulation

Yang, Shangbin,He, Shun,Zhou, Xiaobo,Liu, Mei,Zhu, Hongxia,Wang, Yihua,Zhang, Wei,Yan, Shuang,Quan, Lanping,Bai, Jingfeng,Xu, Ningzhi Korean Society for Biochemistry and Molecular Bion 2010 Experimental and molecular medicine Vol.42 No.11

The abnormality of serine/threonine kinase Aurora-A is seen in many types of cancers. Although in physiological context it has been shown to play a vital role in cellular mitosis, how this oncogene contributes to tumorigenesis remains unclear. Here we demonstrate that Aurora-A overexpression enhances both the expression level and transcriptional activity of c-Myc. The inhibition of c-Myc expression by RNA interference significantly impaired the oncogenic potential of Aurora-A, resulting in attenuated cellular proliferation and transformation rates as well as fewer centrosomal aberrations. Furthermore, downregulation of c-Myc effectively overcame Aurora-A-induced resistance to cisplatin in esophageal cancer cells. Taken together, our results suggest an important role for c-Myc in mediating the oncogenic activity of Aurora-A, which may in turn allow for future targeting of c-Myc as a potential therapeutic strategy for tumors with Aurora-A overexpression.

Potential application of ginseng in sepsis: Applications of ginseng in sepsis

Fuxun Yang,Jiajia Li,Yunping Lan,Yu Lei,Fan Zeng,Xiaobo Huang,Xiaoxiu Luo,Rongan Liu The Korean Society of Ginseng 2023 Journal of Ginseng Research Vol.47 No.3

Sepsis and septic shock affect millions of people worldwide each year with high clinical mortality rates. At present, basic research on sepsis has emerged in an endless stream, but there are few effective clinical translation results. Ginseng, a medicinal and edible representative of Araliaceae plants, contains a variety of biologically active compounds including ginsenosides, alkaloids, glycosides, polysaccharides, and polypeptides. Neuromodulation, anticancer activity, blood lipid regulation, and antithrombotic activity have been linked to ginseng treatment. At present, basic and clinical research have suggested various applications of ginseng in sepsis. In view of the different effects of various ginseng components on the pathogenesis of sepsis, and in order to further understand and develop the possible value of ginseng in sepsis, this manuscript reviews the application of various components of ginseng in the treatment of sepsis in recent years.

Adaptive NN Tracking Control for Periodically Time-varying Nonlinear Switching Systems

Xiaoli Yang,Jing Li,Jian Wu,Xiaobo Li 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.12

This paper tackles the tracking control problem for a class of uncertain switching nonlinear systems with periodically time-varying parameters. To handle the unknown nonlinear functions and periodically time-varying parameters simultaneously, the radial basis function neural networks and Fourier series expansion are combined together. At the same time, the command filter approach is utilized to eliminate the “explosion of complexity” problem of the traditional backstepping technique and relax the assumption on the reference signal as well. Compared with the previous results, the filter errors are compensated by introducing the compensated signals and the upper bounds of the approximation errors are estimated as well. A compound adaptive neural network control strategy is proposed to warrant that the closed-loop system is semi-globally ultimately uniformly bounded. Two examples are provided to demonstrate the effectiveness of the reported approach.

Suppression of Aurora-A oncogenic potential by c-Myc downregulation

Shangbin Yang,Shun He,Xiaobo Zhou,Mei Liu,Hongxia Zhu,Yihua Wang,Wei Zhang,Shuang Yan,Lanping Quan,Jingfeng Bai,Ningzhi Xu 생화학분자생물학회 2010 Experimental and molecular medicine Vol.42 No.11

The abnormality of serine/threonine kinase Aurora-A is seen in many types of cancers. Although in physiological context it has been shown to play a vital role in cellular mitosis, how this oncogene contributes to tumorigenesis remains unclear. Here we demonstrate that Aurora-A overexpression enhances both the expression level and transcriptional activity of c-Myc. The inhibition of c-Myc expression by RNA interference significantly impaired the oncogenic potential of Aurora-A, resulting in attenuated cellular proliferation and transformation rates as well as fewer centrosomal aberrations. Furthermore, downregulation of c-Myc effectively overcame Aurora-A-induced resistance to cisplatin in esophageal cancer cells. Taken together,our results suggest an important role for c-Myc in mediating the oncogenic activity of Aurora-A, which may in turn allow for future targeting of c-Myc as a potential therapeutic strategy for tumors with Aurora-A overexpression.

Security Model for Sensitive Information Systems and Its Applications in Sensor Networks

Tianbo Lu,Xiaobo Guo,Lingling Zhao,Yang Li,Peng Lin,Binxing Fang 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.5

The study of security models for sensitive information systems has been taken on for years, but still lag far away behind the progress of information security practice. During this century, the thought of seeking the system security to the source of system development lifecycle received huge improvement in the system and software assurance domain. This paper firstly expounds the understanding of information security by illustrating information security study development progress since pre-computer age and presents a description of cyberspace and cyberization security by summarizing the status quo of cyberization. Then a security model called PDRL, which includes six core security attributes of sensitive information systems, is proposed to protect the security of sensitive information systems in the whole system life-cycle. At last, this paper probes into further discussion about controllability attribute and proposes a controllability model in sensitive sensor networks, followed by a probability computing formula and the example for computing the controllability of sensitive sensor networks. By dividing each single element of sensitive information and each element-related operation into a corresponding classification, this paper makes a reasonable description of the quantitative description about controllability.

An Active Construction Dynamic Schedule Management Model: Using the Fuzzy Earned Value Management and BP Neural Network

Fangfang Yu,Xiaobo Chen,Clark A. Cory,Zhixuan Yang,Yingwen Hu 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.7

Project schedule management is an important aspect of project management. Earned value management (EVM) and its extension methods are widely adopted in project schedule management in various previous studies, however, most of these studies adopted schedule performance indicators based on definiteness condition and historical data, which ignored the impact of uncertainty and dynamics. So the decision risk in schedule management has been increased dramatically. Therefore, this paper proposed an active construction dynamic schedule management model based on fuzzy earned value management (F-EVM) and BP neural network (BP-NN). Firstly, the fuzzy theory was introduced into EVM to evaluate the schedule performance when the project finish schedule cannot be deterministic expression. Then, the main resource planning was functioned as input variables to predict the schedule in advance through BP-NN. Finally, the future action plans was adjusted based on the results to achieve active control of the project schedule. The case results indicated that the introduction of F-EVM effectively reduced influence of subjective estimation on uncertainty in the data measurement process. And the proposed dynamic schedule management model gave a 32.06% better mean absolute percentage error (MAPE) than the existing methods for estimated project duration. Hence, the proposed model provided a more accurate estimation of the project duration and considered the uncertainty and dynamics of the construction project, thereby achieving more effective management of project schedule.