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Surya, R.
- Detection of Breast Cancer from Thermal Images Using Phase only Variant Features
Authors
1 KPR Institute of Engineering and Technology, Coimbatore, IN
Source
Digital Image Processing, Vol 5, No 8 (2013), Pagination: 392-394Abstract
In this work, the effectiveness of bispectral invariant features in diagnostic classification of breast thermal images into malignant, benign and normal classes is evaluated and a phase-only variant of these features is proposed. Boundaries are extracted using Canny edge detection and elimination of inner edges. Breast images are then segmented using fuzzy c-means clustering and the hottest regions are selected for feature extraction. Bispectral invariant features are extracted from Radon projections of these images. An Adaboost classifier is used to select and fuse the best features during training and then classify unseen test images into malignant, benign and normal classes. A data set comprising 9 malignant, 12 benign and 11 normal cases is used for evaluation of performance. Malignant cases are detected with 95% accuracy. A variant of the features using the normalized bispectrum, which discards all magnitude information, is shown to perform better for classification between benign and normal cases, with 83% accuracy compared to 66% for the original.
- Development of Eco-Friendly Water Repellent Fabrics
Authors
1 Department of Textile Technology, Kumaraguru College of Technology, Coimbatore, IN
2 M/s. Lakshmi Mill Co. Ltd. Coimbatore, IN
Source
Research Journal of Engineering and Technology, Vol 8, No 4 (2017), Pagination: 389-392Abstract
Lignin a natural source which is abundant, has a complex structure that doesn’t allow water to escape outside and this paper investigate the possibility of extracting and coating of lignin in an eco friendly approach on textile materials. Laccase enzyme was extracted from Pleurotusostreatus mushroom showed an activity of 2.2.Enzymatic extraction of lignin from sugarcane bagasse and coir fibre was done, the amount of lignin isolated was 19% and 25.5 % respectively. The extracted lignin was coated on 100 % cotton and silk fabrics by pad – dry –cure process. Three different composition of cross linking agents and extracted lignin were taken and out of which 1% glutaraldehyde, 10% gelatine and 84 % lignin showed effective spray rating test result of 80. The SEM analysis of the cotton and the silk fibre reveals that the water proof coating is uniform in cotton than that of the silk fabric.Keywords
Water Repellent Fabrics, Lignin, Coating, Coir, Sugarcane Bagasse.References
- Payam_Mousavioun, “Properties of lignin and poly(hydroxybutyrate) blends By [Thesis]”, QUT university, Queensland, Australia., March 2011.
- Jorge Rencoret, John Ralph, Gisela Marques, Ana Gutiérrez, Ángel T. Martinez, and José C. del Río, “Structural Characterization of Lignin Isolated from Coconut (Cocos nucifera) Coir Fibres”, J. Agric. Food Chem., 61 (10), 2013, pp 2434–2445
- Jessica Forde, Elizabeth Tully, Alex Vakurov, Tim D. Gibson, Paul Millner, CiaránÓ’Fágáin; Corrigendum to “Chemical modification and immobilization of laccase from Trameteshirsuta and from Myceliophtorathermophila”; Enzyme and Microbial Technology, Volume 47, Issue 5, , Page 241, 6 October 2010
- Patent no:US6217942:April 2001 Bolle et all : Lignin waterproof Coating Narapakdeesakul, Waranyou Sridach, and Thawien Wittaya, “Synthesizing of oil palm empty fruit bunch lignin derivatives and potential use for production of linerboard coating Danupong” , Department of Material Product Technology, Faculty of Agro-Industry, Prince of Songkla University, Thailand, 1 August 2013
- Execution and Control of IoT Based Home Robotixation Using Arduino
Authors
1 Department of EEE, INFO Institute of Engineering, Tamilnadu, IN
Source
Data Mining and Knowledge Engineering, Vol 11, No 2 (2019), Pagination: 27-30Abstract
Internet of Things allows us to control connected devices from anywhere and exchange data over the devices. Home automation system controls home appliances automatically and when this system is connected to internet it becomes a part of IoT. There are three main generations of home automation. First is, different wireless technology with proxy servers, second is Artificial Intelligence (AI) controlled home automation and lastly robots which directly communicate with humans. Our project is first generation automation. For implementing the first generation of the home automation appliances needs to connect with internet so users can control the system from any remote place. That’s why IoT has become a need for automation. A home automation system may control lights, temperature, climate, entertainment and many other appliances. Home security is also a part of automation which includes security control and alarm system. The control system could be wall mounted, computers, a mobile phone application or web interface. . In our proposed system we have used web page based control system. The home automation market was worth US$5.77 billion in 2013, predicted to reach a market value of US$12.81 billion by the year 2020.Our paper Sensing and controlling the world around using Arduino and IoT deals with embedded technologies along with internet of things (IoT) using Arduino which employees the embedded block and script programming for Arduino and WI-FI module.
Keywords
Home Automation, Arduino, Internet of Things (IoT), Think Speak, Wireless Communication.References
- Kishore P Jadhav, Santosh G Bari, “Hand Gesture Based Switching Using MATLAB”, IJIREEICE, Vol.4, May 2016.
- Sharmad Pasha, “ThinkSpeak Based Sensing and Monitoring System for IoT with MATLAB Analysis”, IJNTR, Vol.2, June 2016.
- Angel Deborah S., “Home Automation Systems - A Study”, IJCA, Vol. 116, April 2015.
- J. Chandramohan, R. Nagaraja, K. Satheeshkumar, N. Ajithkum P.A. Gopinath S. Ranjithkumar, “Intelligent Smart Home Automation and Security System Using Arduino and Wi-fi”, IJECS, Vol.6, March 2017.
- Surinder Kaur, Rashmi Singh, Neha Khairwal, Pratyk Jain, “HOME AUTOMATION AND SECURITY SYSTEM”, ACII, Vol.3, July2016.
- Efficient and Autonomous Energy Management Techniques for the Future Smart Homes- IEEE Transactions on Smart Grid ( Volume: 8 , Issue: 2 , March 2017 )