Study on the impact of International Trade on Economic Growth in Shandong Province

Bo Li 한국유통과학회 2015 KODISA ICBE (International Conference on Business Vol.2015 No.-

The information asymmetry and quality uncertainty has been the root cause of the frequent quality problems of Chinese online shopping market. The purpose of this study is to analyze how government regulatory agency, online platform and sellers take product quality control measures and promote the healthy and sustainable development of Chinese online shopping market. This study finds: In order to reduce product quality uncertainty, the buyers tend to use internal and external cues to isolate the quality information and take them as the basis of quality evaluation. At the same time, interested parties such as the online shopping platform, government regulatory agency and the sellers try to mitigate the uncertainty from four dimensions: trust, website informativeness, product diagnosticity and social presence. Based on the above findings, this article constructs the model of three-level product quality control system in Chinese online shopping.

Multiple-model Rao-blackwellized Particle Probability Hypothesis Density Filter for Multitarget Tracking

Bo Li 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.2

Multitarget tracking (MTT) is a frequent topic in visual surveillance systems. Although the multiple-model probability hypothesis density (MM-PHD) filter plays an important role in the MTT, both computerized intractability and imprecise estimate are still inevitable. To solve the problems, a novel filter is presented in this paper. Different from the previous work, the Rao-Blackwellized particle filtering algorithm is incorporated with the MM-PHD filter to reduce computational load, where the sequence Monte Carlo method is adopted to estimate the nonlinear state of targets, and the linear state is predicted using the Kalman filter with the information embedded in the estimated nonlinear state. With respect to tracking precision, we find that the reweighting scheme can be realized for the numberestimate of both undetected targets and false alarms. The result is useful in balancing the required particle number in order to stabilize target estimates during the surveillance period. The illustrative simulation is finally provided to show the effectiveness of the proposed filter.

Modeling and Multi-objective Optimization Method of Machine Tool Energy Consumption Considering Tool Wear

Bo Li,Xitian Tian,Min Zhang 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.9 No.1

The natural energy crisis and the increasingly serious environmental problems have imposed all industries to reduce energy consumption. During milling process, selecting a correct cutting parameters can not only greatly improve production quality and processing efficiency, but also can reduce energy consumption, in addition, tool wear also has a great impact on them. Therefore, a milling power consumption model of CNC machine tools is established based on modern machining theory is established in this article, unlike traditional energy consumption models, our model takes full account of cutting conditions and tool wear. The surface roughness of parts is one of the important indicators to measure the machining quality of machine tools. Therefore, taking milling process as research object, a multi-objective cutting parameters optimization model that takes the machining surface roughness, material removal rate (MRR) and machining energy consumption as the optimization goals was established. Furthermore, an intelligent optimization algorithm was proposed based on improved Teaching–Learning- Based Optimization (TLBO) to solve the model under various limited milling conditions. Finally, comparing experimental results of optimized parameter and empirical parameters, it shows that goals of reducing energy consumption, improving productivity and machining quality can be achieved by optimizing cutting parameters.

A Method of Network Public Opinion Analysis Based on Quantum Particle Swarm Algorithm Optimization Least Square Vector Machine

Bo Li,BaoXing Bai,Changsheng Zhang,Yixue Jiang 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.8

Prediction of network public opinion is a complicated prediction featuring poor information, small samples and uncertainty. A prediction model of network public opinion based on grey support vector machine (SVM) is specified to increase prediction accuracy. First, network data are preprocessed by text clustering, hotpot extraction and data aggregation. Then a time series model GM(1,1) is established and SVM is used to modify prediction outcomes of GM(1,1). At last, simulation experiment is conducted to test performance of the model. Simulation results indicate that grey SVM improves the prediction accuracy of network public opinion compared with traditional prediction models. The predictions have certain practical values.

An analytical and optimal corner smoothing method for CNC machine tools along linear segments

Bo Li,Taiyong Wang,Peng Wang 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.4

To solve the problems caused by the discontinuity of linear segments in computer numerical controlled (CNC) machine tools, a curvature optimal corner smoothing method is proposed for three-axis machine tool in this paper. The proposed corner smoothing scheme fits a circumscribed quartic B-spline to smooth adjacent linear segments with the analytical corner error, which generates smaller analytical curvature extreme and faster transition feedrate than other existed corner smoothing methods. Besides, a hybrid interpolation method is applied to interpolate the linear and parametric tool paths with jerk-limited feedrate profile under kinematic limitations. Simulation and experiment are conducted to demonstrate the advantages of the proposed algorithm in machining time, kinematic performance and error control.

Comparison between Craniospinal Irradiation and Limited-Field Radiation in Patients with Non-metastatic Bifocal Germinoma

Bo Li,Wenyi Lv,Chunde Li,Jiongxian Yang,Jiajia Chen,Jin Feng,Li Chen,Zhenyu Ma,Youqi Li,Jiayi Wang,Yanwei Liu,Yanong Li,Shuai Liu,Shiqi Luo,Xiaoguang Qiu 대한암학회 2020 Cancer Research and Treatment Vol.52 No.4

Purpose Whether craniospinal irradiation (CSI) could be replaced by limited-field radiation in non-metastatic bifocal germinoma remains controversial. We addressed the issue based on the data from our series and the literature. Materials and Methods Data from 49 patients diagnosed with non-metastatic bifocal germinoma at our hospital during the last 10 years were collected. The Pediatric Quality of Life Inventory 4.0 was used to evaluate health-related quality of life (HRQOL). Additionally, 81 patients identified from the literature were also analyzed independently. Results In our cohort, 34 patients had tumors in the sellar/suprasellar (S/SS) plus pineal gland (PG) regions and 15 in the S/SS plus basal ganglia/thalamus (BG/T) regions. The median follow-up period was 52 months (range, 10 to 134 months). Our survival analysis showed that patients treated with CSI (n=12) or whole-brain radiotherapy (WBRT; n=34) had comparable disease-free survival (DFS; p=0.540), but better DFS than those treated with focal radiotherapy (FR; n=3, p=0.016). All 81 patients from the literature had tumors in the S/SS+PG regions. Relapses were documented in 4/45 patients treated with FR, 2/17 treated with whole-ventricle irradiation, 0/4 treated with WBRT, and 1/15 treated with CSI. Survival analysis did not reveal DFS differences between the types of radiation field (p=0.785). HRQOL analysis (n=44) in our cohort found that, compared with S/SS+PG germinoma, patients with BG/T involvement had significantly lower scores in social and school domains. However, HRQOL difference between patients treated with CSI and those not treated with CSI was not significant. Conclusion In patients with non-metastatic bifocal germinoma, it is rational that CSI could be replaced by limited-field radiation. HRQOL in patients with BG/T involvement was poorer.

Containment Control for Directed Networks Multi-agent System with Nonlinear Dynamics and Communication Time-delays

Bo Li,Zengqiang Chen,Chun-yan Zhang,Zhong-Xin Liu,Qing Zhang 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.3

In this paper, containment control problem in directed networks for second-order multi-agent systemswith inherent nonlinear dynamics and time-delays are investigated. A distributed control protocol is proposedfor each follower using the relative states among neighboring agents. Based on Lyapunov-Razumikhin theorem,some sufficient conditions in terms of linear matrix inequalities (LMIs) are derived to ensure that all followersasymptotically converge to the convex hull spanned by the dynamic leaders. Finally, simulation results are presentedto illustrate the effectiveness of the conclusion.

Auxiliary Particle Bernoulli Filter for Target Tracking

Bo Li,Jianli Zhao 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.3

Target tracking is a popular topic in various surveillance systems. As a data association free method,the Bernoulli filter can directly estimate target state from plenty of uncertain measurements. However, it is notobvious for existing Bernoulli filters to select proposal distribution with small variance of weights. To address thisproblem, a novel auxiliary particle (AP) Bernoulli filter and its implementation are proposed in this paper. Weemploy the AP method in the Bernoulli filtering framework in order to choose robust particles from a discretedistribution defined by an additional set of weights, which reflect the ability to represent measurements with highprobability. Limitation to the number of particles, the promising particles are used to propagate by extractingindices. On the other hand, the particles without significant contribution to approximation are discarded. In suchcase, the computational complexity of this filter is reduced. With the unscented transform (UT), the dynamics ofmaneuvering target are effectively estimated. The simulation results show advantages in comparison to the standardBernoulli filter for general target tracking.

Distributed Containment Control of Multi-agent Systems with General Linear Dynamics and Time-delays

Bo Li,Hong-yong Yang,Zengqiang Chen,Zhong-Xin Liu 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.6

Containment control problems for high-order linear time-invariant multi-agent systems with fixed communication time-delays are investigated. Based on Lyapunov-Krasovskii functional method and the linear matrix inequality (LMI) method, sufcient conditions on the communication digraph, the feedback gains, and the allowed upper bound of the delays to ensure containment control of the multi-agent systems under the different containment control algorithms are given. Finally, numerical simulations are presented to demonstrate theoretical results.

Containment Control of Multi-agent Systems with Time-delays over Heterogeneous Networks

Bo Li,Hong-yong Yang,Zeng-qiang Chen,Zhong-Xin Liu 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.10

Containment control problems for second-order multi-agent systems with fixed communication timedelays under heterogeneous networks topologies are investigated. Based on Lyapunov-Krasovskii functional method and the linear matrix inequality (LMI) method, sufficient conditions on the communication digraph, the feedback gains, and the allowed upper bound of the time-delays to ensure containment control of the multi-agent systems using the different containment control algorithms are given. Finally, numerical simulations are presented to demonstrate theoretical results.