Smart Garbage level Monitoring using iot

In latest few years we can examine quick increase in urban improvement plans, the concept of smart cities. While the concept comes up for Smart cities there's a requirement for Smart waste management. The important aim of Garbage tracking system is for the Smart buildings, Colleges, Hospitals and Bus stands to hold cleanliness. The Garbage tracking device theory is an improvement of regular dustbin by increases it to be smart using IR sensors. Garbage monitoring device is a new Technology of implementation which makes a regular dustbin smart using ultrasonic sensors for rubbish level monitoring and detection, it video display units and sends message to the concern department committee updating the status of the bin the usage of GSM modem when bin is

The impact of character/background colour combinations and exposition on character legibility and readability on video display units

This paper presents the impact of text and background colour combinations on the legibility of characters and readability of text presented on video display units (VDUs). The stimulus features influencing the operator’s response latency and accuracy are analysed in two experiments, examining the effects of text–background colour combinations and stimulus exposition on the ability of character and word identification on VDUs. This is analysed for the purpose of improving the information presentation in control information systems in Serbian underground coal mines. The legibility of characters based on the main colour combinations was tested by focusing on 30 participants. The first experiment required the participants to identify the legibility of uppercase alphabetic characters and numbers randomly selected and presented on a VDU. The visual performance was expressed by the number of correctly identified characters. The second experiment required the participants to identify the readability of the presented characters, based on the colour combinations of the characters and the background, in order to identify the best possible combination of colours for fast identification of information, which is very important in the detection of fast-changing unwanted events. The results of the experiments suggested that the character recognition was strongly influenced by character/background colour combination and exposition. The adequate selection of these variables can significantly improve the legibility of characters, and improve the speed and the accuracy of the identification of potential problems in underground coal mines during emergency situations.

Comparison Between Finite and Boundary Element Methods for Analysis of Electrostatic Field Around Human Head Generated by Video Display Units

Boundary and finite element modeling approach to the assessment of electrostatic field on human head generated by Video Display Units (VDU’s) are compared and discussed. Attention is focused to the field distribution over the surface of the face. The mathematical formulation for the assessment of the electrostatic field is based on the Laplace equation for the electric scalar potential. The electrostatic field is calculated for two different models of face. Numerical results are presented and compared in order to estimate the accuracy and computational efficiency of the two methods for the considered problem. In order to make comparison as meaningful as possible, boundaryand finite element codes have been both developed by theauthors. In general, boundary element appears to be the better choice than finite element with respect to computational efficiency and level of accuracy.