How to conceal objects from electromagnetic radiation has been a hot research topic. Radar is an object detection system that uses Radio waves to determine the range, angle, or velocity. A radar transmit radio waves or microwaves that reflect from any object in their path. A receive radar is typically the same system as transmit radar, receives and processes these reflected wave to determine properties of object. Different organizations are working onto hide object from the radar in outer space. Any confidential object can be taken through space without being detected by the enemies. This calls for necessity of devising new method to conceal an object electromagnetically.
Mobile ad-hoc network (MANET) is a collection of mobile
terminals forming an infrastructure less and quick deployable network,
which can communicate to each other via multiple hops or single hop.
Such ad-hoc networks have always been important for various applications like defence applications especially for countries like India having
boundaries and regions with large geographical diversity. Mobility attribute is a notable one in MANETs, as this leads to frequent topology
changes which are the primary cause of route failure. A route is an ordered set of links, hence for predicting future availability of any particular
route, it is important to estimate the availability of its currently available constituent links. This paper explores various link availability prediction model and proposes a least square polynomial regression-based
statistical approach to predict the availability of link. Proposed approach
assumes that movement of nodes are based on column mobility model i.e
each node in the network is linearly moving with constant speed. Each
node in the network periodically broadcasts hello packets to its neighbours to inform it’s availability in the network. Neighbour node receives
hello packet and uses its signal strength to estimate distance between
sender and receiver of hello packet. A monotonically decreasing signal
strength of hello packets at receiver node indicates that nodes are moving away from each other and link between them may break in future so
it starts link residual time prediction algorithm to predict the time when
the distance between them will exceed the pre-defined threshold value.
The proposed algorithm is simulated using NS 2.35. The performance
of the algorithm has been analyzed for identified parameters. The results are also been compared by simulating other existing link prediction
approaches based on interpolation.
Biometric refers to the automatic identification of a person based on his or her physiological and individual characteristics that can be easily verified. Among the featured measures of this system are face, fingerprint, speech recognition, retinal and signature etc. To fortify the actual presence of a real trait against a fake self-generated sample biometric system is used. In this research paper, the focus is laid on basic techniques for security system. Face recognition. In face recognition, facial recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject’s face. We can apply it to the servo motors using train database and test database. If the data matches the train database, it sends the command to the servo motors which in turn will open the door. The UI displays ACCESS ACCEPTED or ACCESS DENIED based on the recognition using test and trained databases.This system is implemented using MATLAB.
The viscosity of a particular fluid is an interesting parameter that plays an important role in fluid dynamics of that fluid. We chose the common household cooking item canola oil. Using a ball drop, we set out to measure viscosity at various temperatures and create a model for the viscosity of canola oil as a function of temperature, as well as an accurate measurement for viscosity at room temperature. It was found that the viscosity between 0 and 40 degrees Celsius can be approximated using an exponential function and that an estimation for viscosity at room temperature was not very difficult to obtain. The precision of this measurement was limited by uncertainty in lab equipment used to measure various quantities as well as the image analysis software we used and the limited frame-rate of our camera.
Es todo el conjunto de ideas, tecnología, diseño, instrumentos, equipos o servicios que bien seleccionados y ordenadamente relacionados entre sí, contribuyen a obtener resultados analíticos fiables.
En los procesos industriales, según la severidad de las especificaciones se han desarrollado diferentes estrategias de control que requieren conocimiento puntual de ciertas variables que determinan la calidad del proceso.