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Nan Feng 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.11
In this paper, we research on the modern intelligent healthcare platform from the perspectives of grid based cloud computing and information management system assisted Internet of things technology. In the increasing pressure of modern society, people often attend the poor general health. The more deadly is that people lack the necessary technical means that our physical condition of the related data. Hospital information construction is to adapt to the information age and the modern medical mode, necessary measures of health economy and the hospital information system is the inevitable outcome of the application of information technology in hospital. Excellent hospital information system for standardized hospital management, and security of clinical activities smoothly to carry out the relevant scientific research activity has the important meaning. Intelligent medical treatment is the use of advanced network, communication, computer and digital technology, to implement the intelligent of the medical information collection, conversion, storage, transmission and processing, and various medical business process of digital operation, thus realizes the patients and medical staff, medical institutions, medical equipment, the interaction between, gradually achieve the medical information. Intelligent medical treatment can not only improve the hospital and medical staff's working efficiency, reduce mistakes in the work, also can through the remote medical treatment, remote consultation and so on ways to solve the problem of unequal distribution of regional health resources. Our research combines the grid and cloud computing technique to build up the novel intelligent healthcare platform with IOT technique which will enhance the current medical treatment mode and level up the overall performance of the modern information management system for the general usages.
Nan Feng,Xiaodong Wang,Dezhen Wu 한국물리학회 2013 Current Applied Physics Vol.13 No.9
Recycled carbon fiber (RCF) was employed as a reinforcement material for preparation of nylon 6-basedthermoplastic composites. An effective approach was developed to clean and modify the surface conditionof RCF with nitric acid and then with an epoxy macromolecular coupling agent. The interfacialadhesion between RCF and nylon 6 matrix was improved significantly as a result of such a surfacemodification. Consequently, the reinforcing potential of the RCF was enhanced substantially, and thus,the mechanical properties and thermal stabilities of nylon 6 composites were improved remarkably. Themorphologies of fracture surfaces indicated that RCF achieved a homogeneous dispersion in nylon 6matrix due to good interfacial boding between fibers and matrix. The studies of non-isothermal andisothermal crystallization behaviors showed that RCF acted as a nucleation agent for the crystallization ofnylon 6; therefore, the crystallization rate and nucleation density increased notably due to the heterogeneousnucleating effect of RCF in the matrix. These crystallization features may be advantageous forthe enhancement of mechanical performance and processability of nylon 6-based composites. This studymay provide a design guide for RCF-reinforced nylon 6 composites with a great potential as well as a lowcost for industrial and civil applications.
Bo Ma,Xiang-Dong Gao,Lin Wang,Yan-Xi Zhang,Nanfeng Zhang,Deyong You 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.6
During multi-layer single-pass additive manufacture based on gas metal arc welding, the formation of product surface is highly affected by the robot welding process status. The thermal history of the manufacturing process was recorded by a thermocouple, and the arc current was collected by a current sensor to investigate the relationship between arc current stability and manufacture workpiece surface formation. The empirical mode decomposition energy entropy of different Z as , which are related to the current stability and utilization of arc power, were calculated. The 3D geometric dimension information of the workpiece was scanned by a laser vision sensing system. Experimental results show the current signal of the arc can be used to assess process stability, current stability caused the temperature of the basement, and surface formation changed. The energy entropy of arc current increased with the increase of Z as . The unstable arc can take away much of the heat generated by the arc heat source leading to the increase of deposition height and side surface roughness.