THE APPLICATION OF ELECTRICAL RESISTIVITY METHOD IN FOUNDATION FAILURE INVESTIGATION

ABSTRACT

An electrical resistivity method was carried out on site proposed for the construction of state secretariat office complex in Makurdi, Benue state, using vertical electrical sounding (VES) with Shlumberger electrode configuration. The soundings, which comprised of fifteen VES was done at three different locations to ascertain the suitability of the subsurface foundation at the site for construction and to determine a suitable depth to which the foundation of the proposed buildings should be dug in order to avoid structural failure. The technique utilized pairs of current and potential electrodes inserted into the ground. By measuring the voltage between the potential electrodes, the apparent resistivity of the subsurface was determined. About 165 resistivity readings was taken to generate a 1-D profile of the subsurface. The result obtained showed that the study area is extensively underlained by shale, which is expansive soil and can cause failure to buildings and roads in the area. The largest spacing between the current electrodes WAS 80meters, thus the maximum depth of investigation is 27meters. To maintain a measurable potential difference, the potential electrode spacing was varied from an initial value of 0.5meters to 2.5meters. Between the surface and the depth investigated, the following formations were delineated: loam, sand, clay, laterite and sandstone. The lateritic layer to a depth of 1.2m-3.0m was found to be suitable for the foundation of the buildings.

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ABSTRACT

The number of mobile phones in the world is increasing every day at an astonishing speed. These means increasing of applications that used with it. Also we have come to take for granted the availability of information. There are many ways to provide application access on mobile devices , and these applications want to be available for a long time. Some of these applications must be more sensitive, the security consideration in sensitive application must be implemented on mobile banking .

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DESIGN AND IMPLEMENTATION OF FACE RECOGNITION FOR BLIND PEOPLE

DESIGN AND IMPLEMENTATION OF FACE RECOGNITION FOR BLIND PEOPLE

Abstract

 

It is estimated that 285 million people globally are visually impaired, and without additional interventions, these numbers are predicted to increase significantly. One of the most difficult tasks faced by the visually impaired is identification of people. The inability to recognize known individuals in the absence of audio or haptic cues severely limits the visually impaired in their social interactions and puts them at risk from a security perspective.

 

In this thesis Matlab software was used to simulate a system that aids the blind person to recognize his family and friends facial images that are stored in a database, and if a match is found on the database, the system will announce  the name of the person via speakers to the blind person. Two face recognition algorithms will be used; Principle Component Analysis (PCA), and Hidden Markov Model (HMM) to compare their performance. The simulation considered the recognition of a static facial image (photo) and a live facial image. The results showed that the PCA algorithm performs better than the HMM. It has a small recognition time and work properly under different face orientation.

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