Outdoor Spray Robot Localization Based on Multi Sensor System

B. Chen(Chen Bo),C. B. Moon(문창배) Korean Society for Precision Engineering 2019 한국정밀공학회 학술발표대회 논문집 Vol.2019 No.10월

An elastoplastic model for structured clays

Chen, Bo,Xu, Qiang,Sun, De'an Techno-Press 2014 Geomechanics & engineering Vol.7 No.2

An elastoplastic model for structured clays, which is formulated based on the fact that the difference in mechanical behavior of structured and reconstituted clays is caused by the change of fabric in the post-yield deformation range, is present in this paper. This model is developed from an elastoplastic model for overconsolidated reconstituted clays, by considering that the variation in the yield surface of structured clays is similar to that of overconsolidated reconstituted clays. However, in order to describe the mechanical behavior of structured clays with precision, the model takes the bonding and parabolic strength envelope into consideration. Compared with the Cam-clay model, only two new parameters are required in the model for structured clays, which can be determined from isotropic compression and triaxial shear tests at different confining pressures. The comparison of model predictions and results of drained and undrained triaxial shear tests on four different marine clays shows that the model can capture reasonable well the strength and deformation characteristics of structured clays, including negative and positive dilatancy, strain-hardening and softening during shearing.

Research on the Performance Evaluation of Museums in China

Bo Chen(전보),XinXiu Qiu(츄신슈) 한국문화정책학회 2016 문화정책 Vol.3 No.1

As an important part of China"s public cultural service system, the museum is an important way to meet the people"s cultural needs. In order to study the operation of Chinese museums in recent years, especially after free admissions, this paper calculates the relative efficiency of the museums in the 31 provinces (autonomous regions and municipalities) of the mainland from 2005 to 2014 by using the DEA method. It finds the overall operations of museum improved, and that the free charge policy played a positive role in promoting the development of museums. The number of provinces with effective DEA (Data Envelopment Analysis) has been increasing since 2008. The comprehensive efficiency value and the pure technical efficiency value as well as the scale efficiency value has risen unceasingly, while the gap between provinces has been shrinking, leaving regional differences of museum efficiency is small. The free admission policy had a relatively greater positive effect in the East as compared to the West.

Well-being Technology for Healthcare

Bo-Wei Chen,Wen Ji,Seungmin Rho,Chun-Wei Lin ICT플랫폼학회 2014 JOURNAL OF PLATFORM TECHNOLOGY Vol.2 No.2

Emergent damage pattern recognition using immune network theory

Chen, Bo,Zang, Chuanzhi Techno-Press 2011 Smart Structures and Systems, An International Jou Vol.8 No.1

This paper presents an emergent pattern recognition approach based on the immune network theory and hierarchical clustering algorithms. The immune network allows its components to change and learn patterns by changing the strength of connections between individual components. The presented immune-network-based approach achieves emergent pattern recognition by dynamically generating an internal image for the input data patterns. The members (feature vectors for each data pattern) of the internal image are produced by an immune network model to form a network of antibody memory cells. To classify antibody memory cells to different data patterns, hierarchical clustering algorithms are used to create an antibody memory cell clustering. In addition, evaluation graphs and L method are used to determine the best number of clusters for the antibody memory cell clustering. The presented immune-network-based emergent pattern recognition (INEPR) algorithm can automatically generate an internal image mapping to the input data patterns without the need of specifying the number of patterns in advance. The INEPR algorithm has been tested using a benchmark civil structure. The test results show that the INEPR algorithm is able to recognize new structural damage patterns.

Effectiveness of alendronate as an adjunct to scaling and root planing in the treatment of periodontitis: a meta-analysis of randomized controlled clinical trials

Chen, Jin,Chen, Qian,Hu, Bo,Wang, Yunji,Song, Jinlin Korean Academy of Periodontology 2016 Journal of Periodontal & Implant Science Vol.46 No.6

Purpose: Alendronate has been proposed as a local and systemic drug treatment used as an adjunct to scaling and root planing (SRP) for the treatment of periodontitis. However, its effectiveness has yet to be conclusively established. The purpose of the present meta-analysis was to assess the effectiveness of SRP with alendronate on periodontitis compared to SRP alone. Methods: Five electronic databases were used by 2 independent reviewers to identify relevant articles from the earliest records up to September 2016. Randomized controlled trials (RCTs) comparing SRP with alendronate to SRP with placebo in the treatment of periodontitis were included. The outcome measures were changes in bone defect fill, probing depth (PD), and clinical attachment level (CAL) from baseline to 6 months. A fixed-effect or random-effect model was used to pool the extracted data, as appropriate. Mean differences (MDs) with 95% confidence intervals (CIs) were calculated. Heterogeneity was assessed using the Cochrane ${\chi}^2$ and $I^2$ tests. Results: After the selection process, 8 articles were included in the meta-analysis. Compared with SRP alone, the adjunctive mean benefits of locally delivered alendronate were 38.25% for bone defect fill increase (95% CI=33.05%-43.45%; P<0.001; $I^2=94.0%$), 2.29 mm for PD reduction (95% CI=2.07-2.52 mm; P<0.001; $I^2=0.0%$) and 1.92 mm for CAL gain (95% CI=1.55-2.30 mm; P<0.001; $I^2=66.0%$). In addition, systemically administered alendronate with SRP significantly reduced PD by 0.36 mm (95% CI=0.18-0.55 mm; P<0.001; $I^2=0.0%$) and increased CAL by 0.39 mm (95% CI=0.11-0.68 mm; P=0.006; $I^2=6.0%$). Conclusions: The collective evidence regarding the adjunctive use of alendronate locally and systemically with SRP indicates that the combined treatment can improve the efficacy of non-surgical periodontal therapy on increasing CAL and bone defect fill and reducing PD. However, precautions must be exercised in interpreting these results, and multicenter studies evaluating this specific application should be carried out.

Acalypha australis L. Extract Attenuates DSS-Induced Ulcerative Colitis in Mice by Regulating Inflammatory Factor Release and Blocking NF-jB Activation

Bo Chen,Yiqing Wang,YouYa Niu,Shenghua Li 한국식품영양과학회 2023 Journal of medicinal food Vol.26 No.9

Ulcerative colitis (UC) is a chronic gastroenteric inflammatory disease that may cause life-threatening complications. Currently available therapeutic drugs are not as effective as expected, necessitating the development of new targetsand drugs. The etiology and pathogenetic mechanisms of UC are largely unclear; thus, the treatment effects are limited. Theaqueous extract of Acalypha australis L. (AAL) has shown good therapeutic efficacy in treating UC. AAL is used intraditional Chinese medicine owing to its hemostasis, detoxification, and heat clearance effects. Although astragalus has suchbroad-spectrum biological activities closely related to inflammation, its therapeutic efficacy for UC treatment has not beenreported, the underlying mechanism remains unknown. We studied the therapeutic effect of AAL on UC in mice and exploredits potential mechanism. Mice were treated with AAL aqueous extract for 7 days (20 mg/kg), after which the colon tissue wasassessed for damage (colon mucosal damage index [CMDI]), apoptosis (immunohistochemistry), and release of cytokines(enzyme-linked immunosorbent assay). The concentration of AAL aqueous extract at 20 mg/kg significantly improved theCMDI score and colon injury of UC model. It also reduced the serum levels of IL-2, IL-8, IL-17A, IL-22, IFN-c, and TNF-a,and decreased apoptosis in the colon. AAL water extract also significantly reduced the expression level of NF-jB pathwayrelatedproteins. In conclusion, AAL can protect against UC mainly by inhibiting the expression level of NF-jB pathwayrelatedproteins and reducing the release of inflammatory factors.

Emergent damage pattern recognition using immune network theory

Bo Chen,Chuanzhi Zang 국제구조공학회 2011 Smart Structures and Systems, An International Jou Vol.8 No.1

This paper presents an emergent pattern recognition approach based on the immune network theory and hierarchical clustering algorithms. The immune network allows its components to change and learn patterns by changing the strength of connections between individual components. The presented immunenetwork- based approach achieves emergent pattern recognition by dynamically generating an internal image for the input data patterns. The members (feature vectors for each data pattern) of the internal image are produced by an immune network model to form a network of antibody memory cells. To classify antibody memory cells to different data patterns, hierarchical clustering algorithms are used to create an antibody memory cell clustering. In addition, evaluation graphs and L method are used to determine the best number of clusters for the antibody memory cell clustering. The presented immune-network-based emergent pattern recognition (INEPR) algorithm can automatically generate an internal image mapping to the input data patterns without the need of specifying the number of patterns in advance. The INEPR algorithm has been tested using a benchmark civil structure. The test results show that the INEPR algorithm is able to recognize new structural damage patterns.

OFPT: OpenFlow based Parallel Transport in Datacenters

( Bo Liu ),( Bo Xu ),( Chao Hu ),( Hui Hu ),( Ming Chen ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.10

Although the dense interconnection datacenter networks (DCNs) (e.g. FatTree) provide multiple paths and high bisection bandwidth for each server pair, the single-path TCP (SPT) and ECMP which are widely used currently neither achieve high bandwidth utilization nor have good load balancing. Due to only one available transmission path, SPT cannot make full use of all available bandwidth, while ECMP`s random hashing results in many collisions. In this paper, we present OFPT, an OpenFlow based Parallel Transport framework, which integrates precise routing and scheduling for better load balancing and higher network throughput. By adopting OpenFlow based centralized control mechanism, OFPT computes the optimal path and bandwidth provision for each flow according to the global network view. To guarantee high throughput, OFPT dynamically schedules flows with Seamless Flow Migration Mechanism (SFMM), which can avoid packet loss in flow rerouting. Finally, we test OFPT on Mininet and implement it in a real testbed. The experimental results show that the average network throughput in OFPT is up to 97.5% of bisection bandwidth, which is higher than ECMP by 36%. Besides, OFPT decreases the average flow completion time (AFCT) and achieves better scalability.

Full-scale measurements of wind effects and modal parameter identification of Yingxian wooden tower

Chen, Bo,Yang, Qingshan,Wang, Ke,Wang, Linan Techno-Press 2013 Wind and Structures, An International Journal (WAS Vol.17 No.6

The Yingxian wooden tower in China is currently the tallest wooden tower in the world. It was built in 1056 AD and is 65.86 m high. Field measurements of wind speed and wind-induced response of this tower are conducted. The wind characteristics, including the average wind speed, wind direction, turbulence intensity, gust factor, turbulence integral length scale and velocity spectrum are investigated. The power spectral density and the root-mean-square wind-induced acceleration are analyzed. The structural modal parameters of this tower are identified with two different methods, including the Empirical Mode Decomposition (EMD) combined with the Random Decrement Technique (RDT) and Hilbert transform technique, and the stochastic subspace identification (SSI) method. Results show that strong wind is coming predominantly from the West-South of the tower which is in the same direction as the inclination of the structure. The Von Karman spectrum can describe the spectrum of wind speed well. Wind-induced torsional vibration obviously occurs in this tower. The natural frequencies identified by EMD, RDT and Hilbert Transform are close to those identified by SSI method, but there is obvious difference between the identified damping ratios for the first two modes.