Early identification of melanocytic skin lesions increases the survival rate for cancer patients. Automated lesion extraction from dermoscopic images using computer vision approach is a challenging task as present in image can be different colors, there may variation contrast near boundaries, have sizes and shapes, etc. Therefore, fundamental step automated melanoma identification. In this article, watershed transform based on fast fuzzy c-means (FCM) clustering algorithm proposed images....

Cognitive radio is a promising technology for efficient spectrum utilization. It explores dynamic access features while satisfying interference constraints. In this work, joint power and allocation algorithm proposed to maximize the cognitive network throughput constraints of both primary secondary users in network. Evolutionary algorithms are used solve problem. Furthermore, algorithmic performance compared terms quality solution. And also we optimized maximum utilization capacity each user...

Identification and early detection of skin melanoma is a crucial step towards fatalities caused due to melanoma. Computer vision techniques play an important role for diagnosis the aforesaid disease. In this article, new unsupervised extraction along with analysis approach presented. The proposed method initially removes hairs present in dermoscopic images further uses simple thresholding based lesion extraction. Further, extracted lesions are analysed validation melanocytic cells using...

Skin melanoma is a skin disease that affects nearly 40% of people globally. Manual detection the area time-consuming process and requires expert knowledge. The application computer vision techniques can simplify this. In this article, novel unsupervised transition region based approach for lesion segmentation proposed. method starts with Gaussian blurring green channel dermoscopic image. Further, extracted using local variance features global thresholding operation. It achieves interest...

Skin melanoma is a skin disease that affects nearly 40% of people globally. Manual detection the area time-consuming process and requires expert knowledge. The application computer vision techniques can simplify this. In this article, novel unsupervised transition region based approach for lesion segmentation proposed. method starts with Gaussian blurring green channel dermoscopic image. Further, extracted using local variance features global thresholding operation. It achieves interest...

Abstract Digital Signal Processing (DSP) heavily relies on repetitive addition and multiplication operations, making adders a crucial component in DSP systems. Likewise, processor design, an efficient adder circuit is essential for optimizing compactness, achieving high speed, minimizing power consumption, particularly when utilizing Xilinx technology. This study delves into the exploration design of effective architecture by examining various parallel, synchronous proposing novel...

The construction and performance of an enclosed corona-initiated spark gap high trigger sensitivity are described.

This paper discusses the design of a virtual instrument for detection and analysis power quality disturbances in Power System using Wavelet Packet Transform with help LabVIEW® algorithm. The designed can operate different working modes depending on type to be detected analyzed. Different wavelet (discrete or wavelet-packet transform), mother wavelet, decomposition tree sampling rate is performed input signal either real-time off-line. also permits partial implementation when we are only...

Considerable Progress has been made in the last few years improving performance of distributed database systems. The development Fragment allocation models Distributed is becoming difficult due to complexity huge number sites and their communication considerations. Under such conditions, simulation clustering data adequate tools for understanding evaluating databases. Clustering fragment are key challenges performance, considered be efficient methods that have a major role reducing...

Computer vision-based disease diagnosis is the recent trend for skin melanoma detection. This results in early detection resulting reduced fatalities due to melanoma. A number of both supervised and unsupervised computer vision algorithms have been developed. However, a single approach may not apply all types dermoscopic images. The algorithm complexity increases while processing color Therefore, this paper, clustering-based method developed melanocytic lesion extraction. processes original...

A reliable method is described whereby electrical power can be supplied to antimony generators as used in the processing of image tube photocathodes.

A sealed window assembly suitable for the photocathode of image tubes is described. Essential features are optical quality, ultra-violet transmission and good electrical continuity.