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Clustering is an important technique in data mining. Clustering a large data set is difficult and time consuming. An approach called data labeling has been suggested for clustering large databases using sampling technique to improve efficiency of clustering. A sampled data is selected randomly for initial clustering and data points which are not sampled and unclustered are given cluster label or an...
Hypomethylation of DNA have been associated with cancer in several investigations. Hypomethylated of CPG islands associated with promoters can affect the expression of genes to be more expressed. The Illumina GoldenGate Methylation Cancer Panel I can measure DNA methylation at 1505 CpG loci of 806 cancer related genes. A powerful tools to analysis the DNA methylation data are needed. In this paper,...
Due to the explosion of usage of the internet and websites a huge amount of data on the web is available in languages other than English. Hence, it is important to develop Information Retrieval (IR) tools for other languages too for web searches. This is as challenging as developing an IR tool for English since each language has unique characteristics of its own. In the development of an IR tool for...
In recent times, clustering has been well known for various researchers due to various applications in most of the fields like, telecommunication, networking, biomedical domain and so on. So, various attempts have been already made by the researchers to develop a better algorithm for clustering. One of the procedures well known among the researchers is optimization that has been effectively utilized...
In this paper, a new configuration of UWB planar printed compact monopole antenna comprising of symmetrical slots and PI notched with parasitic patches. It has a partial ground plane to achieve an excellent impedance matching to increase the impedance bandwidth. The proposed antenna rejects the 5GHz WLAN band in the frequency range of 5.42–5.74 GHz by introducing PI shaped notch. The simulated results...
In this paper, a technique for realizing a low condition number channel matrix for line-of-sight (LOS) multi-input multi-output (MIMO) transmission scenario is presented. The main idea behind the proposed work is to make use of a change in carrier frequency of adjacent transmit antennas to increase the MIMO capacity gain without requiring any additional bandwidth. We derive the criteria for the maximum...
The increasing rate of Assamese text contents in digital format encourages us to generate a system that automatically categorizes them. This paper discusses a system that will perform the categorization of texts automatically based on the knowledge from Assamese WordNet. In WordNet, synset correspond to the words which implies the same concept and words having more than one sense in a particular text...
This research work investigates design and robustness analysis of an optimal classifier applied to handwritten Devanagari consonant characters using single hidden layer feed-forward neural network with respect to five fold cross validation. Proposed neural network is trained 3 times by varying PEs in hidden layer from 64 to 128 in steps of 16. For each fold fifteen neural networks are studied. Meticulous...
In this paper, we consider the Multiple Input Multiple Output (MIMO) - cooperative spectrum sensing based on Energy detection in cognitive radio networks. The primary user data is forwarded to the fusion center with N receiving antennas through the K cognitive radio user each with M transmitting antennas using Time division multiple access (TDMA). The network is operating over independent and identically...
Moving object trajectory patterns are clustered based on similarity to discriminate abnormal activities. These objects are usually categorized as outliers. Emergency vehicles such as ambulance and fire engine may follow different paths, other than normal due to their urgency. The work done so far, categorize these objects as outlying trajectories and thus come under suspicious movement category. In...
Vector quantization is simple and efficient technique of lossy image compression. Codebook generation has important role in Vector Quantization. The paper presents an effective clustering algorithm in Vector Quantization for codebook generation. Traditional Kekre's Error Vector Rotation (KEVR) resulting in slow cluster orientation. The Kekre's Error Vector Rotation using Walsh Sequence (KEVRW) gives...
This paper considers the synchronization of continuous-time(CT) multiagent systems with single integrator dynamics. Initially, a protocol that includes velocity information from the neighbour agent is taken into account for synchronization study. But, in practical systems, velocity information from the neighbour agent and position information of agents can only be received after a certain time delay...
A method of de-noising seismic signals based on Gabor transform has been proposed as a preprocessing procedure for real-time signals. The proposed method of preprocessing helps in removal of noise when the signal is contaminated by noise. The application of Gabor transform in de-noising has been validated through the simulation results followed by the experimental data. The efficiency of removing...
Speech enhancement techniques are widely used to enhance the quality and intelligibility of the speech signal in the noisy environment. Conventional noise reduction methods introduce more residual noise and speech distortion. The existing algorithms fail when there are abrupt changes in the noise level. To overcome the shortcomings of the conventional methods, improved noise tracking algorithm is...
This paper describes FPGA (Field Programmable Gate Array) implementation of piecewise linear interpolation method for linearization of a nonlinear thermistor characteristic. The known data points of the nonlinear thermistor characteristic are interpolated to determine the unknown points in the range. The value of an unknown intermediate point is determined by using a straight line equation between...
In this paper, we model the relationship between object-oriented metrics and software change proneness. We use adaptive neuro-fuzzy inference system (ANFIS) to calculate the change proneness for the two commercial open source software systems. The performance of ANFIS is compared with other techniques like bagging, logistic regression and decision trees. We use the area under receiver operating characteristic...
During the last one decade, rapid proliferation of categorical data attracts computer scientists and engineers to analyse the categorical data. In this regard, unsupervised technique, such as clustering has been used by inception of new algorithms or modification of the existing ones. These methods are basically optimizing single objective function to get the partitions. However, optimization of multiple...
This paper presents an Interpolated Finite Impulse Response (IFIR) method to design narrowband FIR filters with very sharp transition band. The method is based on a multi-stage IFIR scheme, where a multiplierless model filter is used along with several interpolator filters that differ to each other only in their expansion factors. Sharpening technique is applied to the model filter to improve its...
Satellite imaging sensors like SPOT, IKONOS and GEOEYE provide high resolution images, but the cost and complexity is high. If efficient algorithms exist for structural feature extraction like roads, buildings and bridges from satellite images, we can still use low resolution images to a certain extend. Many cases both low and high resolution images are affected by blurring and noisy effects, which...
The critical challenge in Dynamic MR imaging is the trade-off between spatial and temporal resolution due to the limited availability of acquisition time. To address this it is imperative to under-sample k-space and develop specific reconstruction techniques. We propose an improvement to the well-known compressed sensing-based Total Variation (TV) minimization constrained reconstruction scheme by...
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