TY  - JOUR
AU  - Rajendran, Dorothy
AU  - Sasilatha, Thankappan
AU  - Mary, Suvakeen Amala Doss Hebciba
AU  - Rajendran, Susai Santhammal
AU  - Lačnjevac, Časlav
AU  - Singh, Gurmeete
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6059
AB  - Due to the importance of underwater exploration in the development and utilization of deep-sea resources, underwater autonomous operation is more and more important to avoid the dangerous high-pressure deep-sea environment. For underwater autonomous operation, the intelligent computer vision is the most important technology. In an underwater environment, weak illumination and low-quality image enhancement, as a pre-processing procedure, is necessary for underwater vision. In this paper, introduced the Deep learning based Underwater Metal object detection using input Image data by using several step to improve the model performance. In this experimentation we are using TURBID dataset 100 images to validate the performance. And also we compare the performance result by given the input images in different validation level. In first input image is initially preprocessed and that images is given to the KFCM-Segmentation. The segmented images are given to the DWT Extraction to extract the features from those images. And finally the Convolution Neural Network (CNN) is used to classify the images to detect the objects. Also this proposed model attained the classification accuracy of 98.83%. This method is much suitable for detect the objects in underwater robotically. Metallic parts of machines of ships or aero planes may submerge in sea water. They may undergo corrosion when they come in contact with sea water which contains 3.5% sodium chloride. This is most commonly responsible for the corrosive nature of the sea water. The robots made of materials such as mild steel may also undergo corrosion when they come in contact with sea water, while is search. If a paint coating is given, it will control the corrosion of these proposed materials. Hence this work is undertaken. Mild steel is coated with Asian guard red paint. Corrosion resistance of mild in3.5% sodium chloride solution is measured before coating and after coating by electrochemical studies such as such as polarization study and AC impedance spectra. The corrosion inhibition efficiency offered by red paint to mild steel in 3.5% sodium chloride is 99.98%.
PB  - Engineers Society for Corrosion
T2  - Materials Protection
T1  - Deep learning based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study-A case study Part A-Deep learning based underwater metal object detection using input image data
T1  - DETEKTOVANJE PODVODNIH METALNIH OBJEKATA POMOĆU VEŠTAČKE INTELIGENCIJE I ZAŠTITA OD KOROZIJE PREDMETA OD MEKOG ČELIKA KORIŠĆENIH U PODVODNOJ STUDIJI-STUDIJA SLUČAJA Deo A-detektovanje podvodnih metalnih objekata pomoću veštačke inteligencije
EP  - 14
IS  - 1
SP  - 5
VL  - 63
DO  - 10.5937/zasmat2201005R
ER  - 

@article{
author = "Rajendran, Dorothy and Sasilatha, Thankappan and Mary, Suvakeen Amala Doss Hebciba and Rajendran, Susai Santhammal and Lačnjevac, Časlav and Singh, Gurmeete",
year = "2022",
abstract = "Due to the importance of underwater exploration in the development and utilization of deep-sea resources, underwater autonomous operation is more and more important to avoid the dangerous high-pressure deep-sea environment. For underwater autonomous operation, the intelligent computer vision is the most important technology. In an underwater environment, weak illumination and low-quality image enhancement, as a pre-processing procedure, is necessary for underwater vision. In this paper, introduced the Deep learning based Underwater Metal object detection using input Image data by using several step to improve the model performance. In this experimentation we are using TURBID dataset 100 images to validate the performance. And also we compare the performance result by given the input images in different validation level. In first input image is initially preprocessed and that images is given to the KFCM-Segmentation. The segmented images are given to the DWT Extraction to extract the features from those images. And finally the Convolution Neural Network (CNN) is used to classify the images to detect the objects. Also this proposed model attained the classification accuracy of 98.83%. This method is much suitable for detect the objects in underwater robotically. Metallic parts of machines of ships or aero planes may submerge in sea water. They may undergo corrosion when they come in contact with sea water which contains 3.5% sodium chloride. This is most commonly responsible for the corrosive nature of the sea water. The robots made of materials such as mild steel may also undergo corrosion when they come in contact with sea water, while is search. If a paint coating is given, it will control the corrosion of these proposed materials. Hence this work is undertaken. Mild steel is coated with Asian guard red paint. Corrosion resistance of mild in3.5% sodium chloride solution is measured before coating and after coating by electrochemical studies such as such as polarization study and AC impedance spectra. The corrosion inhibition efficiency offered by red paint to mild steel in 3.5% sodium chloride is 99.98%.",
publisher = "Engineers Society for Corrosion",
journal = "Materials Protection",
title = "Deep learning based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study-A case study Part A-Deep learning based underwater metal object detection using input image data, DETEKTOVANJE PODVODNIH METALNIH OBJEKATA POMOĆU VEŠTAČKE INTELIGENCIJE I ZAŠTITA OD KOROZIJE PREDMETA OD MEKOG ČELIKA KORIŠĆENIH U PODVODNOJ STUDIJI-STUDIJA SLUČAJA Deo A-detektovanje podvodnih metalnih objekata pomoću veštačke inteligencije",
pages = "14-5",
number = "1",
volume = "63",
doi = "10.5937/zasmat2201005R"
}

Rajendran, D., Sasilatha, T., Mary, S. A. D. H., Rajendran, S. S., Lačnjevac, Č.,& Singh, G.. (2022). Deep learning based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study-A case study Part A-Deep learning based underwater metal object detection using input image data. in Materials Protection
Engineers Society for Corrosion., 63(1), 5-14.
https://doi.org/10.5937/zasmat2201005R

Rajendran D, Sasilatha T, Mary SADH, Rajendran SS, Lačnjevac Č, Singh G. Deep learning based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study-A case study Part A-Deep learning based underwater metal object detection using input image data. in Materials Protection. 2022;63(1):5-14.
doi:10.5937/zasmat2201005R .

Rajendran, Dorothy, Sasilatha, Thankappan, Mary, Suvakeen Amala Doss Hebciba, Rajendran, Susai Santhammal, Lačnjevac, Časlav, Singh, Gurmeete, "Deep learning based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study-A case study Part A-Deep learning based underwater metal object detection using input image data" in Materials Protection, 63, no. 1 (2022):5-14,
https://doi.org/10.5937/zasmat2201005R . .

TY  - JOUR
AU  - Rajendran, Dorothy
AU  - Sasilatha, Thankappan
AU  - Suvakeen Amala Doss Hebciba, Mary
AU  - Rajendran, Susai Santhammal
AU  - Lačnjevac, Časlav
AU  - Singh, Gurmeete
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6058
AB  - Buried metal objects in sea water may undergo corrosion because of the corrosive ions such as chloride ions present in seawater. However a paint coating may control the corrosion of the metal objects such as robots. Corrosion resistance of mild steel in 3.5 % sodium chloride solution before and after coating with Asian guard red paint has been evaluated by polarization study and AC impedance spectra. In presence of Asian guard red paint, the linear polarization resistance increases, corrosion current decreases, charge transfer resistance increases, double layer capacitance decreases and impedance value increases. That is corrosion resistance of mild steel objects in 3.5 % sodium chloride solution increases after coating with Asian guard red paint.
PB  - Engineers Society for Corrosion
T2  - Materials Protection
T1  - Deep learning based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study-A case study Part B-Corrosion protection of mild steel used in underwater study
T1  - DETEKTOVANJE PODVODNIH METALNIH OBJEKATA POMOĆU VEŠTAČKE INTELIGENCIJE I ZAŠTITA OD KOROZIJE PREDMETA OD MEKOG ČELIKA KORIŠĆENIH U PODVODNOJ STUDIJI-STUDIJA SLUČAJA DEO B-ZAštita od korozije predmeta od mekog čelika korišćenih u podvodnoj studiji
EP  - 22
IS  - 1
SP  - 15
VL  - 63
DO  - 10.5937/zasmat2201015R
ER  - 

@article{
author = "Rajendran, Dorothy and Sasilatha, Thankappan and Suvakeen Amala Doss Hebciba, Mary and Rajendran, Susai Santhammal and Lačnjevac, Časlav and Singh, Gurmeete",
year = "2022",
abstract = "Buried metal objects in sea water may undergo corrosion because of the corrosive ions such as chloride ions present in seawater. However a paint coating may control the corrosion of the metal objects such as robots. Corrosion resistance of mild steel in 3.5 % sodium chloride solution before and after coating with Asian guard red paint has been evaluated by polarization study and AC impedance spectra. In presence of Asian guard red paint, the linear polarization resistance increases, corrosion current decreases, charge transfer resistance increases, double layer capacitance decreases and impedance value increases. That is corrosion resistance of mild steel objects in 3.5 % sodium chloride solution increases after coating with Asian guard red paint.",
publisher = "Engineers Society for Corrosion",
journal = "Materials Protection",
title = "Deep learning based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study-A case study Part B-Corrosion protection of mild steel used in underwater study, DETEKTOVANJE PODVODNIH METALNIH OBJEKATA POMOĆU VEŠTAČKE INTELIGENCIJE I ZAŠTITA OD KOROZIJE PREDMETA OD MEKOG ČELIKA KORIŠĆENIH U PODVODNOJ STUDIJI-STUDIJA SLUČAJA DEO B-ZAštita od korozije predmeta od mekog čelika korišćenih u podvodnoj studiji",
pages = "22-15",
number = "1",
volume = "63",
doi = "10.5937/zasmat2201015R"
}

Rajendran, D., Sasilatha, T., Suvakeen Amala Doss Hebciba, M., Rajendran, S. S., Lačnjevac, Č.,& Singh, G.. (2022). Deep learning based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study-A case study Part B-Corrosion protection of mild steel used in underwater study. in Materials Protection
Engineers Society for Corrosion., 63(1), 15-22.
https://doi.org/10.5937/zasmat2201015R

Rajendran D, Sasilatha T, Suvakeen Amala Doss Hebciba M, Rajendran SS, Lačnjevac Č, Singh G. Deep learning based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study-A case study Part B-Corrosion protection of mild steel used in underwater study. in Materials Protection. 2022;63(1):15-22.
doi:10.5937/zasmat2201015R .

Rajendran, Dorothy, Sasilatha, Thankappan, Suvakeen Amala Doss Hebciba, Mary, Rajendran, Susai Santhammal, Lačnjevac, Časlav, Singh, Gurmeete, "Deep learning based underwater metal object detection using input image data and corrosion protection of mild steel used in underwater study-A case study Part B-Corrosion protection of mild steel used in underwater study" in Materials Protection, 63, no. 1 (2022):15-22,
https://doi.org/10.5937/zasmat2201015R . .

TY  - JOUR
AU  - Rajendran, Dorothy
AU  - Sasilatha, Thankappan
AU  - Rajendran, Susai Santhammal
AU  - Al-Hashem, Abdulhameed
AU  - Lačnjevac, Časlav
AU  - Singh, Gurmeet
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6061
AB  - The hull plates of the ship made of mild steel (MS) are always in contact with sea water are always in contact with aggressive ions such as chloride ions present in sea water.The corrosion resistance of the hull plates of the ship made of mild steel has been investigated by polarization study. Sandalwood oil extract containing 5 g each of Cardamom (disambiguation), Clove (disambiguation), Nutmeg, India Sambrani (loban), Chrysopogon zizanioides, commonly known as vetiver and Camphor was used as corrosion inhibitor along with Trisodium citrate (TSC), sodium dihydrogen phosphate (SDP) and Zn2+. The corrosion resistance was measured in the absence and presence of various inhibitor systems: Trisodium citrate (TSC) 100 ppm+ Zn2+ 50ppm system, sodium dihydrogen phosphate (SDP) 100 ppm+ Zn2+ 50ppm system, Oil coated (3days) MS, Oil coated (3days) MS +TSC 100 ppm+ Zn2+ 50 ppm system and Oil coated (3days) MS +SDP100 ppm+ Zn2+ 50 ppm system were used. It is observed that when mild steel is immersed in SW+TSC 100 ppm+ Zn2+ 50ppm system, the corrosion resistance of MS increases. When mild steel is immersed in SW+ SDP 100 ppm+ Zn2+ 50ppm system, the corrosion resistance of MS increases. When mild steel is immersed in Oil coated (3days) MS in Sea water system, the corrosion resistance of MS increases. When mild steel is immersed in Oil coated (3days) MS in SW+TSC 100 ppm+ Zn2+ 50ppm system, the corrosion resistance of MS increases. When mild steel is immersed in Oil coated (3 days) MS in SW+ SDP 100 ppm+ Zn2+ 50ppm system, the corrosion resistance of MS increases. This is revealed by the fact that there is increase in LPR value and decrease in corrosion current value. The corrosion potential is shifted to anodic side. This indicates that in this inhibitor system, the anodic reaction of metal dissolution is controlled predominantly. This implies that these inhibitor systems may be coated on mild steel surface used as hull plates to prevent corrosion of mild steel in sea water.
PB  - Engineers Society for Corrosion
T2  - Materials Protection
T1  - Inhibition of corrosion of mild steel hull plates immersed in natural sea water by sandalwood oil extract of some natural products
T1  - Sprečavanje korozije ploča od mekog čelika potopljenih u morsku vodu ekstraktom ulja nekih prirodnih proizvoda
EP  - 36
IS  - 1
SP  - 23
VL  - 63
DO  - 10.5937/zasmat2201023R
ER  - 

@article{
author = "Rajendran, Dorothy and Sasilatha, Thankappan and Rajendran, Susai Santhammal and Al-Hashem, Abdulhameed and Lačnjevac, Časlav and Singh, Gurmeet",
year = "2022",
abstract = "The hull plates of the ship made of mild steel (MS) are always in contact with sea water are always in contact with aggressive ions such as chloride ions present in sea water.The corrosion resistance of the hull plates of the ship made of mild steel has been investigated by polarization study. Sandalwood oil extract containing 5 g each of Cardamom (disambiguation), Clove (disambiguation), Nutmeg, India Sambrani (loban), Chrysopogon zizanioides, commonly known as vetiver and Camphor was used as corrosion inhibitor along with Trisodium citrate (TSC), sodium dihydrogen phosphate (SDP) and Zn2+. The corrosion resistance was measured in the absence and presence of various inhibitor systems: Trisodium citrate (TSC) 100 ppm+ Zn2+ 50ppm system, sodium dihydrogen phosphate (SDP) 100 ppm+ Zn2+ 50ppm system, Oil coated (3days) MS, Oil coated (3days) MS +TSC 100 ppm+ Zn2+ 50 ppm system and Oil coated (3days) MS +SDP100 ppm+ Zn2+ 50 ppm system were used. It is observed that when mild steel is immersed in SW+TSC 100 ppm+ Zn2+ 50ppm system, the corrosion resistance of MS increases. When mild steel is immersed in SW+ SDP 100 ppm+ Zn2+ 50ppm system, the corrosion resistance of MS increases. When mild steel is immersed in Oil coated (3days) MS in Sea water system, the corrosion resistance of MS increases. When mild steel is immersed in Oil coated (3days) MS in SW+TSC 100 ppm+ Zn2+ 50ppm system, the corrosion resistance of MS increases. When mild steel is immersed in Oil coated (3 days) MS in SW+ SDP 100 ppm+ Zn2+ 50ppm system, the corrosion resistance of MS increases. This is revealed by the fact that there is increase in LPR value and decrease in corrosion current value. The corrosion potential is shifted to anodic side. This indicates that in this inhibitor system, the anodic reaction of metal dissolution is controlled predominantly. This implies that these inhibitor systems may be coated on mild steel surface used as hull plates to prevent corrosion of mild steel in sea water.",
publisher = "Engineers Society for Corrosion",
journal = "Materials Protection",
title = "Inhibition of corrosion of mild steel hull plates immersed in natural sea water by sandalwood oil extract of some natural products, Sprečavanje korozije ploča od mekog čelika potopljenih u morsku vodu ekstraktom ulja nekih prirodnih proizvoda",
pages = "36-23",
number = "1",
volume = "63",
doi = "10.5937/zasmat2201023R"
}

Rajendran, D., Sasilatha, T., Rajendran, S. S., Al-Hashem, A., Lačnjevac, Č.,& Singh, G.. (2022). Inhibition of corrosion of mild steel hull plates immersed in natural sea water by sandalwood oil extract of some natural products. in Materials Protection
Engineers Society for Corrosion., 63(1), 23-36.
https://doi.org/10.5937/zasmat2201023R

Rajendran D, Sasilatha T, Rajendran SS, Al-Hashem A, Lačnjevac Č, Singh G. Inhibition of corrosion of mild steel hull plates immersed in natural sea water by sandalwood oil extract of some natural products. in Materials Protection. 2022;63(1):23-36.
doi:10.5937/zasmat2201023R .

Rajendran, Dorothy, Sasilatha, Thankappan, Rajendran, Susai Santhammal, Al-Hashem, Abdulhameed, Lačnjevac, Časlav, Singh, Gurmeet, "Inhibition of corrosion of mild steel hull plates immersed in natural sea water by sandalwood oil extract of some natural products" in Materials Protection, 63, no. 1 (2022):23-36,
https://doi.org/10.5937/zasmat2201023R . .