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Velmurugan, P.
- Evaluation of Thermal Performance of Wire Mesh Solar Air Heater
Authors
1 Department of Mechanical Engineering, Annamalai University, Annamalai Nagar-608002, Chidambaram, TN, IN
Source
Indian Journal of Science and Technology, Vol 4, No 1 (2011), Pagination: 12-14Abstract
Solar energy is an economical alternative to the today's energy demand. Solar air heater is used for heating the air economically but produces low thermal efficiency. In this study, an attempt has been made to increase the thermal efficiency of solar air heater by using a wire mesh to enhance the heat transfer, thereby increasing the efficiency. The matrix solar air heater with a wire mesh produces higher thermal efficiency over the conventional flat plate solar air heater.Keywords
Solar Energy, Air Heater, Wire Mesh, Thermal Efficiency, Performance AnalysisFull Text
References
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- Ride Comfort Analysis of Unsuspended Cabin Tractor Semi-Trailer
Authors
1 Dept. of Automobile Engg., RVS College of Engineering & Technology, Dindigul, Tamilnadu, IN
2 Dept. of Mech. Engg., National Institute of Technology, Tiruchirappalli, Tamilnadu, IN
3 Dept. of Mech. Engg. and Mining Machinery Engg., Indian School of Mines, Dhanbad, Jharkhand, IN
4 Dept. of Mech. Engg., Thiruvalluvar College of Engineering and Technology, Vandavasi, Tamilnadu, IN
Source
International Journal of Vehicle Structures and Systems, Vol 6, No 4 (2014), Pagination: 104-109Abstract
This research work uses parameter variation techniques for calculating the set of vehicle parameters that result in the best ride comfort for the driver. Tractor semi-trailer vertical dynamic ride model is developed using 9 degrees-of-freedom. The simulation of the model is conducted using MATLAB. The input to the system is a velocity amplitude function of the vertical road irregularities. Other inputs include the load conditions, vehicle speed and road conditions. The RMS vertical weighted acceleration at the driver’s seat and at the centre of gravity of tractor and semi-trailer for different parameters of the vehicle are assessed for ride comfort analysis.Keywords
Ride Comfort, RMS Vertical Weighted Acceleration, Unsuspended Cabin, Tractor Semi-Trailer.Full Text
- Detection of Unhealthy Region of Plant Leaves and Classification of Plant Leaf Diseases using Texture Based Clustering Features
Authors
1 Bharathiar University, Coimbatore, Tamilnadu, IN
2 Department of MCA, Sri Venkateshwara Group of Institutions, Ettimadai, Coimbatore, Tamilnadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 9, No 1 (2017), Pagination: 8-10Abstract
The recent development of digital camera and growth of data storage has led to a huge amount of image databases. Only a few were proposed for specified databases such as satellite images, leaf sets, maps, faces, fingers and so on. Plant diseases have turned into a dilemma as it can cause significant reduction in both quality and quantity of agricultural products. Automatic detection of plant diseases is an essential research topic as it may prove benefits in monitoring large fields of crops, and thus automatically detect the symptoms of diseases as soon as they appear on plant leaves. The proposed system is a software solution for automatic detection and classification of plant leaf diseases. The proposed algorithm’s efficiency can successfully detect and classify the examined diseases with an accuracy of 94%. Experimental results on a database of about 500 plant leaves confirm the robustness of the proposed approach. This paper provides various methods used to study of leaf disease detection using clustering process. The developed processing scheme consists of four main steps, first a color transformation structure for the input RGB image is created, and this RGB is converted to HSI because RGB is for color generation and his for color descriptor. Then green pixels are masked and removed using specific threshold value, then the image is segmented and the useful segments are extracted, finally the texture statistics is computed from the SGDM (Spatial Gray-level dependence) Matrices, finally the presence of diseases on the plant leaf is evaluated.
