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In this paper, we propose a method to improve localization algorithm of maximum likelihood estimation; the localization scheme relies on the distance threshold. In order to suppress effectively the effects of received signal strength error to node localization precision. This paper presents an indoor localization algorithm based on received signal strength to select anchor nodes. Compared with the...
This paper presents Fast load balancing technique inspired by Bioinformatics is a special case to assign a particular patient with a specialist physician cluster at real time. The work is considered soft presentation of the Gaussian mixture model based on the extracted features supplied by patients. Based on the likelihood ratio test, the patient is assigned to a specialist physician cluster. The...
Many accidents in the industry and on the road occurs because of the drowsiness of machine operators or drivers and it results into loss of lives and economy. This factors can be reduced if the drowsy operators or drivers can be identified. This research is conducted for the identification of driver's drowsiness and fatigue using EEG signals and ocular artifacts. Here Neurosky® Mindwave Device has...
This paper describes utilization of surface electromyography (sEMG) identification for driving robotic hand. Therefore, this implementation will give other alternatives to the stroke survivors or paralysis patients in order to help their activities. This system detecs the movement of two fingers (thumb and index finger) by using threshold as pattern recognition algorithm. This pattern recognition...
R-wave detection is one of the most significant parts in Electrocardiogram (ECG) signal studies and plays an important role in the automatic ECG analysis system. In this research, we design a prototype of portable automatic ECG analysis system based on field programmable gate array (FPGA) using Altera DE2-70 development board. The system includes four parts: 1)Data input, 2)ECG denoising, 3)ECG analysis...
In this paper, an algorithm which is implemented for cancer detection in image processing and the results of the algorithm are mentioned. Researched work has three main steps. In first step, images are passed through significant steps for noise removal; at the second step, various histogram thresholds are calculated and at the last step cancer is detected with respect to calculated thresholds. As...
Nutrient status of a plant can be diagnosed by detecting the edges and veins of the leaf images since the deficiency symptoms are generally found in interveinal areas and along the edges. This paper proposes an effective algorithm for detecting the edges and veins in leaf images. The proposed algorithm was developed using Canny edge detection method. The algorithm provides accurate and positive results...
This paper presents an In-bound/Out-bound detection algorithm of people's movements using an impulse radio ultra-wideband (IR-UWB) radar system. This algorithm is based on a simple threshold crossing (TC) method which has been widely used in UWB field. This algorithm can detect the people who pass through the gate field. It can be used in gate monitoring to count the number of people in a large room.
A multi-scale edge detection method in the empirical mode decomposition (EMD) domain using the consistent EMD method to decompose the reference noise to adaptively estimate the noise threshold is proposed to detect the edges of noisy signals with different signal to noise ratios. The new algorithm first calculates the slope of the EMD residuals in scales. Second, it eliminates the noise in the slope...
According to the character of dim small target in infrared image, a new enhancement algorithm is presented in this paper. At first the infrared image background is suppressed by setting a threshold, then both gray density and gray interval of histogram are equalized. This algorithm has small calculation, excellent image enhancing and real-time performance.
In view of the shortcoming of large-capacity storage requirements and high computational complexity for most multi-symbol differential detection (MSDD) algorithm, we propose PMCTS (Pruning Memory Constrained Tree Search) algorithm based on Memory Constrained Tree Search (MCTS), which uses a threshold for node cutting operation. The nodes whose metrics are greater than the threshold value will be deleted...
In H.264/AVC, it is a common phenomenon that the transformation coefficients of a block are quantized to zero. Such block is called a all-zero block(AZB). in the process of mode decision, if a AZB can be detected early, the overhead of following transformation and quantization can be avoided. This will lead magnificent saving in encoding time. A fast mode decision algorithm based on AZBs detection...
The algorithm of detail holding adaptive median filter is been bringed forward. Using the sub-filteration window with directivity and setting the filter's sensitivity by threshold, the differentials of pixel gradation and median is been caculated and the consistency of pixels in window are been judged. The shape and scale of window based on the condition of noise influence are been dynamics adjusted...
Blind source separation algorithm is usually not able to estimate the number of unknown signal sources. In many occasions, the number of source signal is unknown and may even be in dynamic changes. This paper has achieved to estimate the number of sources and real-time tracking using subspace method in the over-determined blind source separation, while the number of sources is unknown and dynamic...
This paper describes a new algorithm for thresholding the courtesy amount of Brazilian bank checks. These images have complex backgrounds which is a problem for an automatic recognition system. The new approach is based on Tsallis entropy to find the best threshold value. Histogram specification is also used for preprocessing some images. The bi-level images are analyzed through several quantitative...
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