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In this paper, we present the design and evaluation of a Parrot drone multispectral imaging system based on multispectral Red-Green-Blue (RGB) and Near-infrared (NIR) imaging camera units; the multi-color RGB camera captures true color geo-tagged images using a Global positioning System (GPS). The two cameras are triggered simultaneously via the GPIO pins of the raspberry pi boards programmed in Python language. Captured images are stored in native file generated format (10-bit raw data) on a micro SD-card. The intensity-based automatic registration method was applied to define the positive correlation between the two captured RGB and NIR images for display purposes. The above-mentioned method is used to determine image transformation for registration and alignment, by applying the bilinear interpolation. The design was implemented and the prototype was validated in different environmental situations.

Different currencies are being processed in money exchange shops and banks around the globe on a daily basis, where money exchange and transfer takes place. Identifying different currency is a difficult task and can lead to financial loss. There are approximately 180 currencies being used around the world, and each of them differ in color, size and texture. Thus, to correctly identify different currencies, a currency recognition systems needs to be designed. In this paper, we propose the design of an AlexNet based currency recognition system to recognize different international currency notes. We use 10-fold Cross Validation to obtain the cross-validation results of the AlexNet model. The features for the Alex model is extracted from the images back and front of each currency note. We also explore and implement deep learning models to compare the performance of the AlexNet model.

Unscented Kalman Filter (UKF) is a technique used in non-linear applications and dynamic systems identification (e.g. tracking marine vessels and ships) that require state and parameter estimation. This paper studies Kalman Filter (KF) based techniques for tracking ships using Global Positioning System (GPS) data. The present work proposes to exploit information from GPS sensors in order to track a ship in real-time. The absence and presence problem of a ship is handled by a applying KF theory to analyze GPS coordinates and compare current marine vessel routes to previously recorded ones. To study tracking performance, the system was implemented in C++ and simulation results demonstrate the feasibility and high accuracy of the proposed tracking method

with the increasing vehicle ratio on our roads, a lot of factors such as pollution, time constraints and environmental factors need to be addressed. One main issue to be addressed is traffic congestion during the peak hours. This issue affects drivers in numerous ways including loss of productive working hours by lining up in traffic queue. It also leads to loss of natural resource such as fossil fuel used by the vehicle engine while the car is running but lining up in traffic. In this paper, we propose an intelligent sensor-based traffic light control system. To analyze and compare performance, the system was implemented in MATLAB/SIMULINK and simulation results demonstrate the feasibility and high accuracy of the proposed intelligent traffic light system.

Fault analysis is an important aspect in the successful operation of a power utility grid. The occurrence of faults in the system is not avoidable as causes of faults are not particularly one but of many with different causes and nature. It is one of the most important as well as it one of the most complex tasks in power engineering. The studies and discovery of faults in electric power systems is essential in ensuring the consistency and the stability if the power grid. Another importance of carrying out fault analysis gives a fair idea of the voltages and the current magnitudes under faulty conditions for different scenarios. This is helpful in the design of protection devices such as fuses, circuit breaker ratings, over current protection relays and other devices that are used for the protection of the system. Protection devices are important features of the power system grid mainly because their role in saving equipment and also human lives. In this paper, we investigate and analyze the behavior of electric power systems under fault conditions and then evaluate various practical scenarios.