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Having wide application area and high performance, Fluxgate magnetometers are popular devices to measure low frequency AC and DC magnetic field vectors. In this work, we designed a simple and a low cost magnetometer prototype to obtain natural earth magnetic field value between ± 0.6 Gauss (G). Using basic microprocessors and a phase detection code technique, unlike conventionally lock-in amplifier,...
Before analysing cells in Laboratory in prostate cancer detection, a classification system can give valuable information about the cancer. In this study, classification of prostate cancer classification was realized by Artificial Immune Systems (AIS) and Artificial Neural Networks (ANN). 50 data were used in which 17 data belong to healty persons, 33 data belong to patients. Training-test data which...
Automatic segmentation of nanoparticles and determination of their shapes and sizes from transmission electron microscopy images are crucial for material analysis. Manual segmentation of nanoparticles produces subjective results and it is time-consuming. In this study, a new method is proposed for the automatic segmentation of the nanoparticles. First, background and foreground detection is employed...
Data mining is the process of analysing the any dataset to obtain understandable information. These information offer important details to improve decision processes about the data. Data mining is a technique that has a great potential to reveal significant information of consumer behaviours to companies. One of the most important tools for data mining is regression model. In this study, regression...
In this study, we provide a methodology to localize the brain regions that contribute to semantic category classification. For this purpose we first cluster the data using spectral clustering. Then we extract local features within each cluster by using mesh-arc descriptors. Finally, we test the classification accuracy of each cluster against a hypothesis testing measure we provide here. We have found...
In this study, the degree of connectivity for each voxel, which is the unit element of functional Magnetic Resonance Imaging (fMRI) data, with its neighboring voxels is estimated. The neighborhood system is defined by spatial connectivity metrics and a local mesh of variable size is formed around each voxel using spatial neighborhood. Then, the mesh arc weights, called Mesh Arc Descriptors (MAD),...
Iterative joint equalization and decoding is called turbo equalization. If the channel is unknown, the channel estimation is an additional signal processing task. In this study, a blind turbo equalization method is developed for digital communication systems using DPSK modulation, which is a promising candidate for future optical wavelength division multiplexed transmission systems. The reason for...
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