Portable TOR Router with Raspberry Pi
Nowadays, internet has become an important part of everyone's lives. The internet has turned out to be a reliable tool for communication, data transfer and many more applications for people from all over the world. An individual's internet activities are being tracked and traced without their knowledge by various means. Thus, online security is a genuine worry for web clients who intend to visit interpersonal interaction locales, make an online transaction, or take an interest in internet diversions, as they need their protection to be ensured. Internet browsing is not anonymized as many Internet Service Providers (ISP's) could legally sell users information without informing users. People's internet activities are being tracked and traced by ISPs. Moreover, network spies and snooping attempts are very hard to be defeated as an ample network snooping tools are available in the market. These issues can be curbed by using a router that has anonymous browsing infrastructure. However, most of the routers that gives anonymous browsing are not portable. From this project, people will be able to browse anonymously without being traced. Besides that, network snooping and spying attempts can be defeated. Finally, a portable The Onion Routing (TOR) router can be created with a Raspberry Pi..
Bradykinesia Detection System Using IoT Based Health Care System for Parkinson’s Disease Patient
Parkinson’s disease (PD) is affecting around 1.47% of people aged 60 years or older and considered as a second most common movement disorder. It is resulted due to a reduction in the dopamine level. One of the PD characteristics is smallness and slowness of executed movement, called Bradykinesia. This study aims to develop an early detection system based on frequencies measurement of movement and the interpretation result would be analyzed with quantitative method using validity, coefficient determinant and ANOVA test. The data retrieve measurement frequencies. There are variables that will be analyzed the value from x,y,z axis and the value of frequency. As the results of the analysis of the validity test, this study uses the Pearson correlation test with a p-value of 0.538, Sig. (2-tailed) of 0.006, where the value interpreted that there was a reasonably strong correlation between the two variables with a significance level of 0.01 or 1%. An according to the value of adjusted R square is 79.7% the dependent variable represented the independent variable, whereas 20.3% is influenced by other parameter that not employed in this study. Also, the degree of freedom in ANOVA test is 3 with 25 numbers of samples.
Turbine blade temperature calculation and life estimation - a sensitivity analysis
Abstract The overall operating cost of the modern gas turbines is greatly influenced by the durability of hot section components operating at high temperatures. In turbine operating conditions, some defects may occur which can decrease hot section life. In the present paper, methods used for calculating blade temperature and life are demonstrated and validated. Using these methods, a set of sensitivity analyses on the parameters affecting temperature and life of a high pressure, high temperature turbine first stage blade is carried out. Investigated uncertainties are: (1) blade coating thickness, (2) coolant inlet pressure and temperature (as a result of secondary air system), and (3) gas turbine load variation. Results show that increasing thermal barrier coating thickness by 3 times, leads to rise in the blade life by 9 times. In addition, considering inlet cooling temperature and pressure, deviation in temperature has greater effect on blade life. One of the interesting points that can be realized from the results is that 300 hours operation at 70% load can be equal to one hour operation at base load.