Nikita Singla* and Derminder Singh
Tree volume is one of the oldest areas of interest and is a crucial task in tree management system. Estimating the woody volume of a live tree is important for economic, scientific purposes and provides a tool to researcher/grower. It provides the useful information about the commercial value of wood to the potential buyer/seller. However, manual methods are being used largely to calculate woody volume of a tree. These methods are based on different log rules, cumbersome and laborious. The present work proposed a digital image processing technique to estimate the woody volume of a live tree. The developed program successfully determines the woody volume of standing tree trunk with MATLAB image processing techniques. In this method three parameters an individual tree were extracted from digital images of the tree. Calibration factor was also calculated to make the method independent of camera distance from the tree. The method was tested on several samples of trees and compared to experimental results. The soft approach generates information about height, diameter and volume of the tree. The percentage error of height, diameter at breast height and volume of standing tree by proposed method and experimental results was found to be less than 6.65%.
Identifying Various Roadways Obstacles in Infrastructure less Environment Using Depth Learning Approach
Chandra Kishor Pandey, Neeraj Kumar*, Vinay Kumar Mishra and Abhishek Bajpai
Traffic conditions in infrastructure-less environment are in many ways not ideal for driving. This is due to undefined road curvature, faded and unmaintained lane markings and various obstacles situations cause vital life loses and damage of vehicles in accidents. This paper provides an efficient approach of finding various roadways obstacles situation using our depth learning approach based on the data collected through a Smartphone. The existing methods are suitable for planned or structured roads. The proposed approach is suitable for planed as well as unplanned roads i.e. for infrastructure-less environment. The approach is capable of effectively classifying roadways obstacles into predefined categories using depth learning approach. While compared with other similar approach this approach is a cost effective approach
Dawood A. Khan
In this paper, we give a framework for integration of patients’ Body Area Network with IoT. We also discuss the enabling technologies that may help with the proliferation of the IoT in healthcare, besides mitigating various interoperability challenges in a healthcare IoT. We use a healthcare use-case of an artificial pancreas for diabetic patients to discuss our framework. We describe the framework as a formal model of a healthcare IoT, which we map onto the components of a proposed end-to-end, closed-loop health-care IoT architecture. In this paper, we also discuss dependability in a healthcare IoT. As such, we describe why certification, standardisation, and dependability should be central for a healthcare IoT.
Vinita Malik1, Sukhdip Singh2, Anu Saini3 and Mamta Ghalan4
Evolution of software is cumbersome process and also needs many iterations of software testing for satisfying some quality criteria. Software quality assurance activities must be effectively used for the proper software quality management and to achieve good product quality .Effective quality management is related to Value Engineering and Risk Management. In the present paper we will study relevance of quality assurance tools, strategies and models while doing risk based testing for the proper product function orientation .By analysing risks we can get to know how much we need to do the testing of software and further can assure the software quality.
Vinita Malik1, Sukhdip Singh2 and Anu Saini3
The present research effort analyses various application areas of risk oriented testing and indentifies the gaps from the past .We need risk oriented testing not only for identifying risks in the projects but also for the maximum optimization of resources .Our research stresses on risk oriented testing in pervasive and evolutionary computational areas as due to dynamicity of such computing environment ,the project imbibes risk in great measure and needs to be taken care in early stages of the project . Risk oriented testing requires concentration in both of these application areas as extremely little work has been done in this regard.