Journal of Advancements in Robotics
Volume 4, Issue 2 (2017)
Published
Table of contents
-
Artificial Neural Networks for Brain Controlled Artificial Legs and Brain Computer Interface (BCI)
Abstract: AbstractThe whole system is guarded with the support of highly developed microcontrollers and digital signal processors. The signals square measure taken out from the human brain with the assistance of electroencephalography technique. The person will perform operations like walking, running etc. simply by their thought. These methods are going to be significantly appropriate for people who lose their legs in accidents and the planned system is hundred percentages possible within …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 1–4 Read article
-
Crack Detection and Classification Methods in Different Eras
Abstract: AbstractDetection of cracks is an essential parameter in structure life and will provide preventing structural failure. Sometimes, in large structure it is become difficult to find cracks by a visual check. The roof is one of the building elements which is subjected to maximum temperature differences like cold weathering, hot weathering etc. Therefore, roof is subjected to expansion and contraction during day and night or from season to season and …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 26–29 Read article
-
Video Enhancement and Denoising Using HSV Domain Method
Abstract: AbstractVideo enhancement is the most essential and troublesome segments in video research. The point of video upgrade is to enhance the visual appearance of the video, or to give a superior transform portrayal for future mechanized video processing. In this paper, we exhibit an outline of video enhancement and denoising utilizing HSV (Hue, Saturation, Value) domain method. Here, DST (Discrete Shearlet Transform) decomposition strategy is applied to the H parameter …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 30–36 Read article
-
Predicting Client Behavior for Bank Marketing Using Multi-Layer Perceptron Model
Abstract: AbstractThese days machine learning is one of the most widely used approaches in every industry. And among many techniques of machine learning, classification is the most used one. In this paper, various classification models are used to draw some conclusion for many input variables and one output variable of banking data and classify the output variable into two classes. Various statistics are shown which are generated during classification. The work …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 5–8 Read article
-
Exploring the Training Potential of Recent Virtual Robotic Platforms: A Comprehensive Review
Abstract: AbstractIn recent years, deployment of robotic manipulators in industries and other fields has increased significantly. This growing trend highlights the need of trained engineers and technicians. Virtual robotic platforms facilitate engineers to acquire knowledge and hands-on exposure of cross-disciplinary field of robotics without requiring expensive and sophisticated equipment in laboratories. In this paper, a systematic review of academic and vocational frameworks is presented with a focus on training and teaching …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 9–25 Read article