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RISS 인기검색어
- 검색키워드
- 저자 : T. Sundararajan (검색결과 6 건)
- 무료
- 기관 내 무료
- 유료
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Detection of Defects on Steel Surface for using Image Segmentation Techniques
S. M. Ramesh,B. Gomathy,T.V.P.Sundararajan 보안공학연구지원센터 2014 International Journal of Signal Processing, Image Vol.7 No.5
An online surface inspection system m of hot rolled strips is introduced. This system is designed t o detect such main Surface defects on hot rolled strips as scar, scratches, pits, water drops Cracks. Cross hatchings, and so on. Multiple CCD area scan cameras are adopted to capture images of strip surface simultaneously, and all the images are processed by parallel computation system Real-time, which is supported by fast image process techniques and parallel computation techniques, in order to snap main defect regions on the surface of strips. At last, the defects will be classified to several types. The application of the system to practical production line shows that it can detect main defects of hot rolled strips more effectively than traditional method, and it is easily to be maintained.
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Energy Efficient Analysis of CRN-A Hybrid Approach
Pravin M.,Sundararajan T. V. P. 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1
In recent years, the 6G technology has been increased in many diferent applications especially in mobile communications. So, the mobile data growth is increased which creates the issues in the control plane load (IoE, IoT). These problems are solved by efcient utilization of the resources and reduce the energy consumption in the cognitive radio network (CRN). In literature, many methods are developed by researchers to manage the spectrum sensing as well as energy efcient operation, but its sill require the improvement to increase the system efciency and capacity. Hence, in this paper, the oppositional function based chimp optimization algorithm (OFCOA) method is developed in the CRN to manage the energy as well as resource allocation. The proposed method is a combination of the oppositional function (OF) and chimp optimization algorithm (COA). In the COA, the optimal solution process is enhanced with the consumption of the OF. The proposed method is enabling energy efcient operation in CRN by manage the energy with the consideration of spectrum sensing. The proposed method is validated with the consideration of four conditions of primary user (PU) and secondary user (SU) with channel occupation and detection in CRN network. The proposed methodology is implemented in MATLAB and performances are evaluated by performance metrices such as throughput, network life time, delivery ratio, delay, drop, energy consumption and overhead. The performance of the proposed methodology is compared with the conventional methods such as chimp optimization algorithm (COA), whale optimization algorithm (WOA) and particle swarm optimization (PSO) respectively.
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Murugaiyan, V.,Saravanane, R.,Sundararajan, T. Techno-Press 2009 Geomechanics & engineering Vol.1 No.4
One-dimensional soil-column studies were carried out to understand the interaction of three industrial effluents namely amino acid ('highly acidic'), surfactant ('highly organic') and pharmaceutical ('organic and toxic') on the physicochemical behavior, index properties and shear strength of bentonite due to artificial contamination extending to nearly 300 days. Changes in inorganic and organic pollutants present in the effluents due to the interaction of the above effluents and soil were assessed to understand the physico-chemical behaviour. Batch and continuous modes of operation, 8 hrs and 16 hrs Hydraulic Retention Time [HRT] and 25%, 50% concentrations of effluents, were the parameters considered. Amino acid, surfactant and pharmaceutical effluents have shown a high variation in pH (7 to 8) after artificial contamination on bentonite that is their original characteristics of the above effluents have been completely reversed. Further, it is found that the shear strength of bentonite has reduced by about 20%, and with respect to liquid limit and plastic limit shows an increasing trend with time within the period of contamination.
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Behaviour of hybrid fibre reinforced concrete beams strengthened with GFRP laminates
S. Syed Ibrahim,S. Eswari,T. Sundararajan 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.66 No.5
This study aims to investigate the flexural behaviour of glass fibre reinforced polymer (GFRP) laminated hybrid fibre reinforced concrete (HFRC) beams. The flexural and ductility performance of GFRP laminated HFRC beams having different proportions of polyolefin and steel fibres with 1.0% of total volume fraction were investigated. The parameters of this investigation included: load and deflection at first crack, yield, and ultimate stages, ductility and crack width. A total of seven beams of 150×250 mm in cross-section were tested in the laboratory over an effective span of 2800 mm. One reinforced concrete (RC) beam without any internal or external GFRP was taken as the reference beam. Of the remaining six beams, one beam was strengthened with GFRP, one beam with 100% steel fibres was strengthened with GFRP and four beams, each with different volume proportions of polyolefin and steel fibres (20:80, 30:70, 40:60, 50:50) were strengthened with GFRP. All the above beams were tested until failure. The experimental results show that a fibre volume proportion of 40:60 (polyolefin-steel) has significantly improved the overall performance of the tested beams.
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Behaviour of hybrid fibre reinforced concrete beams strengthened with GFRP laminates
Ibrahim, S. Syed,Eswari, S.,Sundararajan, T. Techno-Press 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.66 No.5
This study aims to investigate the flexural behaviour of glass fibre reinforced polymer (GFRP) laminated hybrid fibre reinforced concrete (HFRC) beams. The flexural and ductility performance of GFRP laminated HFRC beams having different proportions of polyolefin and steel fibres with 1.0% of total volume fraction were investigated. The parameters of this investigation included: load and deflection at first crack, yield, and ultimate stages, ductility and crack width. A total of seven beams of $150{\times}250mm$ in cross-section were tested in the laboratory over an effective span of 2800 mm. One reinforced concrete (RC) beam without any internal or external GFRP was taken as the reference beam. Of the remaining six beams, one beam was strengthened with GFRP, one beam with 100% steel fibres was strengthened with GFRP and four beams, each with different volume proportions of polyolefin and steel fibres (20:80, 30:70, 40:60, 50:50) were strengthened with GFRP. All the above beams were tested until failure. The experimental results show that a fibre volume proportion of 40:60 (polyolefin-steel) has significantly improved the overall performance of the tested beams.
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