In this paper, we propose a new approach to detect and inspect airplane tires. We use normalized correlation based template matching to detect tires and GrabCut segmentation method to extract them from the background. We inspect the tires condition by investigating the tire treads. Ridge based intensity profiling gives satisfying inspection results.

Energy has always been a major necessity for the day-to-day human life. Unavailability of electricity is one of the major obstacle for economic development of Bangladesh. With the fluctuating grid power distribution system within the country most of the industries are not capable to utilize the national grid power for 24 hour production but rather have generating sets that fully run on diesel throughout the weeks, months and years whenever grid power fails. This research work is an in-depth scenario and analysis of the PV based hybrid energy system in Chittagong (22.36° north, longitude 91.59°east), the industrial capital of Bangladesh. In this research a solar PV system is designed in co-production with existing diesel generators and grid system for electrification of industries. The system is designed in such a way that only power from PV will be available during day time and grid power will be utilized at night time which can help to reduce the grid demand by industries. Diesel generators will compensate the system power demand if there exist any shortage of power by either solar PV or grid. Hybrid Optimization Model for Electric Renewable (HOMER) is used to calculate the optimal system size. All the conditions and constraints of the solar PV integrated system are analyzed in this paper and proposes an optimal combination of energy components for compensating regular grid failure in industrial area with minimizing carbon emission and life cycle cost. The final optimization result from HOMER shows that the cost of energy (COE) is $0.139 and carbon emission by the system is significantly low.

This paper illustrates on an approach to control a mobile robot using DTMF tone through the GSM network. DTMF tones to control a mobile robot are generated by pressing the keypad buttons of a GSM mobile which is counted as remote. The robot receives the tones using another GSM mobile stuck with it. The mobile robot perceives the control tone by using a DTMF decoder IC and a preprogrammed microprocessor takes decision on the basis of the received tone and navigates the robot accordingly. In order to transmit the DTMF tone through the GSM network, a phone call needs be on air between the two mobiles. This approach has been implemented on a toy car.

This paper illustrates on such an intelligent autonomous vehicle (mobile robot) that can be navigated by using visual identification of road direction which utilizes artificial neural network. As a sensor to retrieve the information of surroundings, a camera is mounted on the top of the vehicle. An artificial neural network, Kohonen-type Concurrent Self- Organizing Map (CSOM) is then used to make correct identification of road direction by accessing the sensor's information. The road directions can be classified into three classes- left, straight & right, for each of which individual SOM module is used. The camera's readings are fed to all three SOM modules and the winning neuron is selected as output which is then accounted as the classifier's decision. The decision is then used to navigate the vehicle accordingly.