Coding techniques is used for providing reliable information through the transmission channel to the user. In coding techniques the number of symbols in the source encoded message is increased in a controlled manner in order to facilitate two basic objectives at the receiver one is Error detection and other is Error correction. The amount of error detection and correction required and its effec...

In this paper, we propose a convolution filtering scheme for detecting small defects in low-contrast uniform surface images and, especially, focus on the applications for backlight panels and glass substrates found in Liquid Crystal Display (LCD) manufacturing. A defect embedded in a low-contrast surface image shows no distinct intensity from its surrounding region, and even worse, the sensed i...

The Algorithm Based Fault Tolerance (ABFT) approach transforms a system that does not tolerate a specific type of faults, called the fault-intolerant system, to a system that provides a specific level of fault tolerance, namely safety and/or recovery. ABFT techniques are most effective when employing a systematic form. The error detection is employed based on a high-rate real convolution code. ...

Convolutional neural networks (CNNs) have demonstrated their ability object detection of very high resolution remote sensing images. However, CNNs have obvious limitations for modeling geometric variations in remote sensing targets. In this paper, we introduced a CNN structure, namely deformable ConvNet, to address geometric modeling in object recognition. By adding offsets to the convolution l...

Large-scale variations still pose a challenge in unconstrained face detection. To the best of our knowledge, no current face detection algorithm can detect a face as large as 800 × 800 pixels while simultaneously detecting another one as small as 8 × 8 pixels within a single image with equally high accuracy. We propose a two-stage cascaded face detection framework, Multi-Path Region-based Convo...

<span lang="EN-US">Weeds compete with plants for sunlight, nutrients and water. Conventional weed management involves spraying of herbicides to the entire crop which increases cost cultivation, decreasing quality crop, in turn affecting human health. Precise automatic on weeds has been research use. This paper discusses detection using hybrid features is generated by extracting deep from ...

Abstract In today’s modern world, lung cancer is the most common cause of death amongst humans. Most cancers are curable at early stages. So an and fast detection can save patient’s life. With new technology, possible initial stage. Formal method for diagnosis biopsy method. We have proposed system using convolution neural network disease. It more advantageous to patients. The diagnosing method...