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In large scale industries, robot play a vital role in doing, multitask functions. Cleaning robot is a part of the industrial applications. Path planning for cleaning purpose is found to be one of the major challenges of these robots, as obstacles present in the path may cause damage to them. Hence, in this research, Particle Swarm Optimization (PSO) based obstacle detection algorithm is proposed to...
In recent years, the increasing demand on organic farming necessitates continuous monitoring of plant health. In order to ensure the quality and quantity this becomes more essential. Hence, the objective of this research is to develop a remote monitoring system that continuously monitors the soil moisture of the plant. The Wireless Sensor Network (WSN) is integrated with Internet of Things (IoT) to...
In this paper, the working mechanism of the developed Location Based Routing Protocol (LBRP) for 6LoWPAN is modelled using simple Petri net and the performance of the protocol is validated using reachability graph. From the computation of the reachability graph it can be seen that the token is reached at the destination as shown by the final marking. It is evident that the developed LBRP utilising...
More number of accidents are reported on railway level crossing in recent years. The major causes for these accidents are inaccurate detection of track occupancy. The objective of the proposed work is to develop a "Wheel Detection based level crossing safety system" that detects the railway track occupancy status accurately. The existing techniques such as Imaging, Localization, Axle counters,...
Long Term Evolution (LTE) is a promising wireless network which assures a peak data rate of 100Mbps in the downlink and 50 Mbps in the uplink. In this paper, the physical layer characteristics of LTE as prescribed by 3GPP draft is analyzed in terms of Throughput and BER under various channel conditions, modulation schemes and channel band bandwidth. From the results obtained, it is observed that the...
Estimation of human activities using regression techniques has been performed in this paper. The activities considered for investigation are sitting, standing and walking. As the number of independent variable considered in the proposed work is more than two, Multiple Variate Regression (MVR) technique is applied to estimate the activities. From the performance analysis, it is found that this technique...
Monitoring children left alone at home is an important yet unconquered territory. Maintaining visual contact of children left alone at houses and ensuring that they are safe and engaged remains the top priority of working parents. The developed application uses a humanoid robot-Nao to engage lonely children in an interactive and intellectual manner. The parents are given privilege to monitor the activities...
Digestive system is one of the most important systems, which plays major role for the normal function of human body. A large percentage of population around the world suffers with several digestive system disorders. Several efficient methods exist to diagnose them. In this paper, an alternative method named Electrogastrogram (EGG) is proposed. The proposed EGG method is a non-invasive, cheap and painless...
Underwater Wireless Sensor Network (UWSN) has attracted significant attention recently from both academia and industry, as it provides a promising solution to aquatic environmental monitoring and exploration. Due to the limitation of electromagnetic waves, underwater sensor networks utilize acoustic signals that have high error rate, propagation delay and limited bandwidth for data communication....
The growth and scale of vehicles today makes management of traffic a constant problem. Measures such as toll based systems with electronic smart card recognition, advance notification on traffic status and fixed time control signaling are some of the measures considered to alleviate the traffic woes of passengers. However a sizeable sum of problems still exists due to incomplete utilization of the...
The commercially available sensor nodes are battery-driven devices. A number of nodes together constitute a network. As days proceed, the batteries used in the nodes lose their charge and subsequently get isolated from the network. Many energy harvesting schemes have been proposed to alleviate this problem. In this paper, a solar energy based energy harvesting scheme is proposed. This scheme works...
Classical clustering schemes such as LEACH (low energy adaptive clustering hierarchy), involve certain randomness in cluster head (CH) election which does not take into account the energy distribution of the nodes. This leads to an unstable steady state in heterogeneous conditions. In this paper, we propose a hierarchical clustering protocol, SPEAR (sensor protocol for energy aware routing), that...
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