Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals

Development in the technology of sensor such as Micro Electro Mechanical Systems (MEMS), wireless communications, embedded systems, distributed processing and wireless sensor applications have contributed a large transformation in Wireless Sensor Network (WSN) recently. It assists and improves work performance both in the field of industry and our daily life. Wireless Sensor Network has been widely used in many areas especially for surveillance and monitoring in agriculture and habitat monitoring. Environment monitoring has become an important field of control and protection, providing real-time system and control communication with the physical world. An intelligent and smart Wireless Sensor Network system can gather and process a large amount of data from the beginning of the monitoring and manage air quality, the conditions of traffic, to weather situations. In this paper, we discuss and review wireless sensor network applications for environmental monitoring. In order to implement a good monitoring system, there are several requirements to be followed. From the studies, it has been proved to be an alternative way to replace the conventional method that uses men force to monitor the environment. It is also proven that these approaches can improve the system performance, provide a convenient and efficient method and can also fulfill functional requirements.

Wireless Sensor Network Applications: A Study in Environment Monitoring System

SUMMARY

This paper considers finite-time formation control problem for a group of nonholonomic mobile robots. The desired formation trajectory is represented by a virtual dynamic leader whose states are available to only a subset of the followers and the followers have only local interaction. First of all, a continuous distributed finite-time observer is proposed for each follower to estimate the leader's states in a finite time. Then, a continuous distributed cooperative finite-time tracking control law is designed for each mobile robot. Rigorous proof shows that the group of mobile robots converge to the desired geometric formation pattern in finite time. At the same time, all the robots can track the desired formation trajectory in finite time. Simulation example illustrates the effectiveness of our method. Copyright © 2012 John Wiley & Sons, Ltd.

Finite-time formation control of multiple nonholonomic mobile robots

https://hal.archives-ouvertes.fr/hal-01441203/document

A survey on image-based insect classification

Hybrid three-dimensional formation control for unmanned helicopters

Heterotic and heterobeltiotic performance of 28 F1's obtained through crossing 8 commercial varieties, were evaluated for days to heading, days to maturity, tillers per plant, flag leaf area, plant height, spike length, grains per spike, 1000 grains weight, harvest index and yield per plant. The highest heterotic and heterobeltiotic interactions were recorded in GZ x Der (-5.35 and -4.98%) for days to heading, Tat X SQ (-2.16 and -1.21%) for days to maturity, GZ x Tat (14.92 and 7.46%) for tillers/ plant, SQ x ICP (17.14 and 14.01%) for flag leaf area, Tat x Sar (-3.29 and -2.89%) for plant height, SQ x Der (19.11 and 16.21%) for spike length, Sar x Der (23.14 and 17.60%) for grains per spike, Tkb x Der (28.42 and 28.0%) for 1000 grain weight, SQ x ICP (24.69 and 21.68%) for harvest index and Tat x SQ (56.25 and 26.87%) for yield per plant, respectively. The results revealed that the hybrid combinations Tat x SQ and SQ x ICP could be recommended for improved yield and enhanced biological production of wheat, respectively.

Evaluation of the heterotic and heterobeltiotic potential of wheat genotypes for improved yield

Deformation measurement in the presence of discontinuities with digital image correlation: A review

Digital Image Correlation with Dynamic Subset Selection

Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

In this paper, we have proposed and developed a Poultry Farm Monitoring System based on Wireless Sensor Network (WSN) using Crossbow's TelosB motes integrated with commercial sensors capable of measuring temperature and humidity values. The data collected from the sensors is uploaded to an online database using an agent program and afterward accessed via the internet using web analysis applications. The feasibility of the developed system was tested by deploying the proposed system at N-W.F.P. Agricultural University's research poultry farm in Peshawar in the North-Western Frontier Province of Pakistan. To emulate the proposed idea, the data collected during a daylong experiment was put to test, evaluating the WSN's reliability and its ability to detect and report anomalies in the environment. This paper is the first step towards WSN based poultry farm monitoring systems. We have provided an online monitoring solution for poultry farms and tested its feasibility and reliability by presenting a thorough data analysis of our pilot deployment.

Ghulam Mubashar Hassan

Papers

Evaluation of the heterotic and heterobeltiotic potential of wheat genotypes for improved yield

Deformation measurement in the presence of discontinuities with digital image correlation: A review

Digital Image Correlation with Dynamic Subset Selection

Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

Web based poultry farm monitoring system using wireless sensor network