The research proposes monitoring network traffic to preventing malicious attacks. It uses statistical theory and fuzzy control architecture to create a single transmission behavior. It will establish a normal transmis...
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The research proposes monitoring network traffic to preventing malicious attacks. It uses statistical theory and fuzzy control architecture to create a single transmission behavior. It will establish a normal transmission behavior module in order to achieve network monitoring and an alert mechanism. The mechanism tries to improve the abnormal behavior detection rate. The study is divided into three parts. The first part uses tools to simulate detection and aggressive behavior. According to many defensive measure reports, we will build a detection mechanism. The third part uses statistical theory and fuzzy control to monitor each network flow. The mechanism will preprocess denial of service attacks for an intrusion detection system.
Cloud computing will play an essential role in smart power grid by providing a cost-efficient, scalable IT platform for the delivery and management of electricity. A key component in the cloud-based smart power grid i...
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In wireless body sensor networks, sensors may be installed on various body limbs to wirelessly collect body information for homecare services. The orientations and accelerations on each limb are different for various ...
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In diagnostic radiology, the radiation interaction probability in matter is a strong function of the X-ray energy. The knowledge of the X-ray energy spectral distribution allows optimizing the radiographic imaging sys...
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The feasibility for simultaneous local fresh water oleaginous algae cultivation and wastewater nitrogen removal were discussed in this study. The operation factors including illu- mination intensities, carbon source, ...
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The feasibility for simultaneous local fresh water oleaginous algae cultivation and wastewater nitrogen removal were discussed in this study. The operation factors including illu- mination intensities, carbon source, initial nitrogen source, and retention time were fixed. The results indicated that the algae biomass increased from 28.3 mg/L to 254 mg/L at the 7th day. The oil weight increased from 5.75 mg/L to 85.34 mg/L at the 7th day. The percentage of algae oil increased from 20.4 % to 33.6 %, or by 13.2 %. The first-order equation was found to be the excellent fit model for describing the growth of algae biomass and production of oil content. The values of growth rate constant of algae and production rate constant were 0.3095 1/day and 0.3738 1/day, respectively. The value of production rate constant was about 1.2 times as that of the value of growth rate constant of algae, indicating an unbalance growth of algae biomass and oil content. The removal efficiency for ammonia nitrogen and phosphate was 84.8 % and 36.2 %, respectively.
A set of guidelines, illustrated with a case study of an international FMEA project facilitated with a Google Groups website, is aimed to help organizations optimize their use of Web-based collaborative environments. ...
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A set of guidelines, illustrated with a case study of an international FMEA project facilitated with a Google Groups website, is aimed to help organizations optimize their use of Web-based collaborative environments. An FMEA team assembled in a physical location has drawbacks that can hamper performance and feasibility and the processes. Provision of an online venue for FMEAs enables collaboration with external entities, thus improving the quality of the information developed. The purpose of the FMEA process is to bring together people with unique experiences and perspectives to generate information that no one person could visualize alone. A process FMEA must have manufacturing engineers or people involved directly with the process, whereas a design FMEA may have a manufacturing representative to provide additional perspective. A meeting conducted by the FMEA team included elements such as limited period time for completing team tasks and confirming website availability.
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