- M. Vasanthi
- P. Supriya
- P. C. J. Peter
- V. Mohan
- Balasubramanian
- Vasantha Kalyani David
- P. Aruna
- B. Ramkumar
- S. Annapurani
- P. M. Sulfath
- G. Kavitha
- R. Padmajavalli
- Alok Kumar
- Suhel Ahmed
- M. Sridhar
- R. Thanigaivelan
- N. Rajan
- M. Soundarrajan
- Shri Krishna Tripathi
- Avinash Kumar
- P. Ramesh
- Hemant Kumar
- G. Ramesh
- Journal of Endocrinology and Reproduction
- Digital Image Processing
- Artificial Intelligent Systems and Machine Learning
- The Indian Journal of Nutrition and Dietetics
- Indian Journal of Innovations and Developments
- Indian Journal of Science and Technology
- ICTACT Journal on Soft Computing
- Journal of Geological Society of India (Online archive from Vol 1 to Vol 78)
- Manufacturing Technology Today
- Indian Welding Journal
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Priya, R.
- Biochemical and Hormonal Profiles in Selected Normal, Untreated and Treated Type-2 (Non-Insulin Dependent) Diabetic Men and Menopausal Women
Authors
1 Department of Endocrinology, Dr. ALM Post Graduate Institute of Basic Medical Sciences, University of Madras, Taramani Campus, Chennai-600 113, IN
2 MV Diabetes Specialties Centre (P) Ltd., Chennai-600 086, IN
Source
Journal of Endocrinology and Reproduction, Vol 7, No 1&2 (2003), Pagination: 70-70Abstract
This study was designed to understand the biochemical and hormonal changes associated with type-2 diabetes in South Indian men and menopausal women. Three groups of subjects were recruited for the study viz., age-matched normal (control), untreated and treated type-2 diabetic men and menopausal women. Untreated type-2 diabetic men had low levels of serum testosterone with unalteredestradiol and elevated insulin and Cortisol. Oral hypoglycemic agents did not influence serum insulin level but decreased the Cortisol with no change in testosterone and estradiol levels. Among biochemical parameters, blood glucose, glycosylated hemoglobin, triglycerides and creatinine were higher in both treated and untreated type-2 diabetic men. The levels of the HDL and LDL did not reflect any significant change.- Enhanced Content Based Image Retrieval Using Multiple Feature Fusion Algorithms
Authors
1 Department of Computer Science, Sree Narayana Guru College, Coimbatore, IN
2 Department of Computer Science, Avinashilingam Deemed University, Coimbatore, IN
Source
Digital Image Processing, Vol 3, No 18 (2011), Pagination: 1160-1162Abstract
Recently the usage of multimedia contents like images and videos has increased. This usage has created the problem of locating from a very large database. This paper presents Content Based Image Retrieval (CBIR) system that uses multiple feature fusion to retrieve images. The features like color, shape and texture are used. The color histogram is used to extract color feature and active contour model is used for shape extraction. K-means and SOM algorithms are used for clustering and dimensional reduction. The experimental results show that the proposed CBIR system is better in terms of precision, recall and speed of image retrieval.Keywords
Content Based Image Retrieval, Color Histogram, Contour Model, K-Means, Self Organizing Map.- An Automated System for Detecting Anatomical Structures and Exudates in Retinal Fundus Images
Authors
1 Department of Computer science and Engineering, Annamalai University, IN
2 Department of Computer Science and Engineering, Annamalai University, IN
Source
Digital Image Processing, Vol 3, No 12 (2011), Pagination: 781-786Abstract
This paper proposes an automated system for the detection of important anatomical structures such as the Blood Vessels, Optic Disc (OD), Macula and also Exudates in digital fundus retinal images. Blood vessel Detection (BVD) was done using canny edge detection. Optic disc localization was done using pyramidal decomposition and Hausdorff-based template matching. Macula was located using pyramidal decomposition. Exudates are found using machine learning algorithm which uses k-nearest neighbor classifier and a linear discriminant classifier. The procedure has been tested on a database of about 100 color fundus images acquired from a digital non-mydriatic fundus camera and the experimental results show the accuracy of the system.Keywords
Blood Vessels, Exudates, Macula, Optic Disc.- Neural Network Based Diagnosis of Glaucoma
Authors
1 Computer Science and Engineering Department, Annamalai University, Chidambaram, Tamil Nadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 5, No 3 (2013), Pagination: 145-148Abstract
Glaucoma is one of the major reasons for blindness. Untreated glaucoma can lead to permanent damage of the optic nerve and resultant visual field loss, which over time can progress to blindness. For this reason, early detection of glaucoma is essential for affected patients. This paper is focused on classifying glaucoma with image-based features from fundus photographs. So in this work, we have detected the glaucoma disease in the retinal optical images. The extent of the disease spread can be identified by extracting the features of the retina. Detection of the disease is done using Probabilistic Neural Network (PNN) classifier. The accuracy of the proposed system is 94.54 %.Keywords
Retina, Probabilistic Neural Network, Accuracy, Sensitivity, Specificity.- Chemopreventive Effects of Polyphenol Extract of Karpuravalli - in Vivo Studies in Swiss Albino Mice - Part II
Authors
1 Department of Biochemistry, Avinashilingam Institute for Home Science and Higher Education for Women, Deemed University, Coimbatore - 641 043, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 36, No 11 (1999), Pagination: 468-472Abstract
The challenge of chemotherapy is to produce effective tumour killing with minimum impact on normal tissues. Global estimates indicate that over three-fourth of the population cannot afford the products of western pharmaceutical industry and have to rely upon traditional medicines which are mainly derived from plants. Within the next decade or two, cancer is likely to become one of the leading causes of death. However, the bulk of cancer should be preventable because most of its causes are available.- Antimutagenic, Antitumourogenic and Antigenotoxic Effects of Polyphenol Extracts of Selected Medicinal Plants
Authors
1 Department of Biochemistry, Avinashilingam Institute for Home Science and Higher Education for Women, Deemed University, Coimbatore - 641 043, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 36, No 10 (1999), Pagination: 431-435Abstract
Cancer is a genetic disease, arising from an accumulation of mutations that promote clonal selection of cells with increasingly aggressive behaviour. An individual who carries a mutant allels of an inherited cancer gene has a variable risk of cancer that is influenced by the particular mutation, other cellular genes and dietary, lifestyle and environmental factors. However cancer is largely a preventable disease. There are several protective agents in our diet including fiber, vitamins, certain minerals and non-nutrients which protect our body from carcinogens.- A Survey on Various Data Dissemination Approaches in Vehicular Ad Hoc Network
Authors
1 Sree Narayana Guru College, K.G Chavadi, Coimbatore, IN
Source
Indian Journal of Innovations and Developments, Vol 5, No 7 (2016), Pagination: 1-4Abstract
Objectives: The main objective of this work is to survey various techniques used in the field of data dissemination in Vehicular Ad hoc NETwork (VANET).
Methods: There are different approaches used to improve data dissemination in vehicular ad-hoc network. Such approaches are context-aware information dissemination, Space-time network coding, geo-based Named data networking forwarding strategy, Route-based data pre-fetch model and etc.
Findings: VANET has become more popular in the areas of vehicular transportation systems. Data dissemination which is the base of communication plays a major role in VANET system. Various data dissemination technologies were developed for avoiding the issues such as data routing, vehicle mobility and network security. This paper provides brief explanation about several data dissemination techniques and compares their performance based on the output parameters, merits and demerits. Comparison result shows that, the prefetching based data dissemination technique outperforms than other techniques.
Application/Improvements: the result of this work shows that prefetching based data dissemination technique provides better result than the other dissemination techniques.
Keywords
VANET, Data Dissemination, Data Routing, Vehicle Mobility, Network Security.References
- C. Pop, R. I. Ciobanu, R. C. Marin, C. Dobre, C. X. Mavromoustakis, G. Mastorakis, J. J. Rodrigues. Data Dissemination in Vehicular Networks Using Context Spaces. In IEEE Globecom Workshops (GC Wkshps), IEEE, 2015, December, 1-7.
- X. Li, H. Li. A survey on data dissemination in VANETs. Chinese Science Bulletin, 2014; 59(32), 4190-4200.
- Mondal, S. Mitra. Secure data dissemination in VANET-a pull based approach. In IEEE International Conference on Communication, Networks and Satellite (COMNESTAT). IEEE. 2015, December. 60-67.
- B. Dubey, N. Chauhan, S.Pant. RRDD: Reliable route based data dissemination technique in vanets. In Communication Systems and Network Technologies (CSNT). International Conference on IEEE. 2011 June; 148-151.
- X. Bai, M. Gong, Z. Gao, S.Li. Reliable and efficient data dissemination protocol in vanets. In Wireless Communications, Networking and Mobile Computing (WiCOM), 8th International Conference on IEEE, September 2012; 1-4.
- F. Ye, S. Roy, H. Wang. Efficient data dissemination in vehicular ad hoc networks. IEEE Journal on Selected Areas in Communications. 2012; 30(4), 769-779.
- M. A. Salkuyeh, F. Hendessi, T. A. Gulliver. Data dissemination with rateless coding in a grid vehicular topology. EURASIP Journal on Wireless Communications and Networking. 2013; 1, 1-14.
- T. Yan, W. Zhang, G. Wang, Y. Zhang. Access points planning in urban area for data dissemination to drivers. IEEE Transactions on Vehicular Technology. 2014; 63(1), 390-402.
- S. Medetov, M. Bakhouya, J. Gaber, K. Zinedine, M. Wack, P. Lorenz. A decentralized approach for information dissemination in Vehicular Ad hoc Networks. Journal of Network and Computer Applications. 2014; 46, 154-165.
- X. Shen, X. Cheng, L. Yang, R. Zhang, B. Jiao. Data dissemination in VANETs: A scheduling approach. IEEE Transactions on Intelligent Transportation Systems. 2014; 15(5), 2213-2223.
- F. Liu, Z. Chen, B. Xia. Data Dissemination With Network Coding in Two-Way Vehicle-to-Vehicle Networks. IEEE Transactions on Vehicular Technology. 2016; 65(4), 2445-2456.
- P.Karmuhil, LathaParthiban. An Automatic road network extraction from satellite images using Modified SOFM approach. Indian Journal of Innovations and Developments. 2016; 5(4), 1-6.
- C. Bian, T. Zhao, X. Li, W. Yan. Boosting named data networking for data dissemination in urban VANET scenarios. Vehicular Communications. 2015; 2(4), 195-207.
- R. Kim, H. Lim, B. Krishnamachari. Prefetching-based data dissemination in vehicular cloud systems. IEEE Transactions on Vehicular Technology. 2016; 65(1), 292-306.
- Improved Searchable Encryption via Conglomerate Keys in Federated Cloud Storage
Authors
1 School of Computing Sciences, Vels University, Pallavaram, Chennai - 600117, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 42 (2016), Pagination:Abstract
Objectives: Cloud computing is the sort of computing process that shares the data and its resources in the Internet. Data Leakage is the main challenge prevails in the federated cloud storage service. This challenge is overcome by proposing an efficient searchable encryption system. Methodology: An improved searchable encryption is designed to apportion the data among the multi-users. An efficient key management is the required phase of the encryption schemes. Owing to adversaries, a promising approach using conglomerate keys invents as a better searchable encryption schemes in multiowner applications. Findings: By reducing the count of trapdoor function to cloud data from the multi-user, an effective search over the encrypted data is performed. In compare to existing models, tree based approach and one to one function, the proposed, improved SE-CK works efficient in terms of lessened delegation ratio and conglomerate keys. Applications/ Improvements: This method can also be extended to the hybrid architecture like Indexing schemes, Re-encryption schemes etc.Keywords
Data Sharing, Data Leakage and Multi-Owner Applications, Federate Cloud Storage, Searchable Encryption, Trapdoor Functions- Diagnosis of Diabetic Retinopathy Using Machine Learning Techniques
Authors
1 Department of Computer Science and Engineering, Annamalai University, IN
Source
ICTACT Journal on Soft Computing, Vol 3, No 4 (2013), Pagination: 563-575Abstract
Diabetic retinopathy (DR) is an eye disease caused by the complication of diabetes and we should detect it early for effective treatment. As diabetes progresses, the vision of a patient may start to deteriorate and lead to diabetic retinopathy. As a result, two groups were identified, namely non-proliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR). In this paper, to diagnose diabetic retinopathy, three models like Probabilistic Neural network (PNN), Bayesian Classification and Support vector machine (SVM) are described and their performances are compared. The amount of the disease spread in the retina can be identified by extracting the features of the retina. The features like blood vessels, haemmoraghes of NPDR image and exudates of PDR image are extracted from the raw images using the image processing techniques and fed to the classifier for classification. A total of 350 fundus images were used, out of which 100 were used for training and 250 images were used for testing. Experimental results show that PNN has an accuracy of 89.6 % Bayes Classifier has an accuracy of 94.4% and SVM has an accuracy of 97.6%. This infers that the SVM model outperforms all other models. Also our system is also run on 130 images available from "DIARETDB0: Evaluation Database and Methodology for Diabetic Retinopathy" and the results show that PNN has an accuracy of 87.69% Bayes Classifier has an accuracy of 90.76% and SVM has an accuracy of 95.38%.Keywords
Probabilistic Neural Network, Bayesian Classification, Support Vector Machine, Sensitivity, Specificity, Accuracy.- Biomedical Text Mining for Diagnosing Diseases - A Review
Authors
1 Research and Development Centre, Bharathiar University, Coimbatore - 641046, Tamil Nadu, IN
2 Department of Computer Applications, Bhaktavatsalam Memorial College for Women, Chennai - 600080, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 22 (2016), Pagination:Abstract
Diagnosis of diseases is a difficult work that has to do in accurate manner. Text mining deals a great job in this field. A huge mass of data is available in biomedical field, using this data we can diagnosis many diseases by text mining techniques in efficient manner. Text mining methods are used to retrieve useful knowledge from large data. Objective: The aim of this paper is to review several text mining methods used in biomedical field. This survey is helpful to select a best text mining method for biomedical data. Methods/Analysis: In this paper, classification method is used to study the biomedical text mining for diagnosing diseases. In the field of biomedical, classification can be done on the basis of patient disease pattern to separate the patients into high risk or low risk The classification techniques have two methods they are Binary contains two classes and multilevel contains more than two classes. Classification method is widely used in biomedical text mining. In this paper different classification techniques can be applied to categorize the text they are SVM (Support Vector Machine) NN (Neural Network), K-NN (K-Nearest Neighbor), Bayesian Method and DT (Decision Tree). Findings: In this paper, different classification techniques were surveyed and their merits and limitations have been discussed. The various classification techniques were applied in medical data where useful patterns and knowledge were extracted. The important task is that to select the suitable data and classification method for disease diagnosis. The objective of this survey is that how the classification methods are applied in biomedical application and to select which method is suitable and efficient for diagnosis of a particular disease. Novelty/Improvement: The main advantage of the survey is that it can be applied to any kind of dataset, it is a description dataset or not. For future improvement, we will implement our proposed methodology on using some major chest diseases datasets and measured performance in terms of training time and accurate diagnosis.Keywords
Biomedical Text Mining, Classification, Concept Linkage, IE (Information Extraction), Topic Tracking.- Influence of Mixed Electrolyte in Electrochemical Micromachining on SS316L
Authors
1 Muthayammal Engineering College, Rasipuram, IN
2 Vinayaka Missions Kirupananda Variyar Engineering College, Salem, IN
Source
Manufacturing Technology Today, Vol 20, No 7-8 (2021), Pagination: 16-25Abstract
The Electrochemical Micromachining (EMM) is an micromachining techniques for machining electrically conducting, tough and difficult to machine materials with suitable machining parameter combinations. In EMM, an electrolyte characteristic shows significant effect on output characteristics namely Material Removal Rate (MRR), Overcut (OC) and Taper OC. Hence in this research mixed electrolyte along with varying concentration, machine voltage and duty cycle are taken as key input parameters. Sodium nitrate and oxalic acid used as an electrolyte between tool and work piece. The MRR, OC and taper overcut are significantly influenced by the electrolyte type. Optimization of multiple performance characteristics were analyzed by CRiteria Importance Through Intercriteria Correlation (CRITIC) and Simple Additive Weighting (SAW) methods. The mixed electrolyte shows higher MRR, lesser OC and lesser taper OC and the optimal parameter combination is mixed electrolyte with 20g/l, 8V and 85% duty cycle and micro hole circumference is analysed using the SEM pictures.Keywords
Oxalic Electrolyte, Sodium Nitrate, CRITIC Method, SAW Method, Taper Overcut.References
- Ao, S., Li, K., Liu, W., Qin, X., Wang, T., Dai, Y., & Luo, Z. (2020). Electrochemical micromachining of NiTi shape memory alloy with ethylene glycol– NaCl electrolyte containing ethanol. Journal of Manufacturing Processes, 53, 223-228.
- Biswas, T. K., Chaki, S., & Das, M. C. (2019). MCDM Technique Application to the Selection of an Indian Institute of Technology. Operational Research in Engineering Sciences: Theory and Applications, 2(3), 65-76.
- Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining Objective Weights in Multiple Criteria Problems: The Critic Method. Computers & Operations Research, 22(7), 763-770.
- Keshavarz, A., & Parang, Z., (2013). The Effect of Sulfuric Acid, Oxalic Acid, and their Combination on the Size and Regularity of the Porous Alumina by Anodization. Journal of Nanostructure in Chemistry, 2193-8865-3-34.
- Kunar, S., Mahata, S., & Bhattacharyya, B. (2018). Influence of Electrolytes on Surface Texture Characteristics Generated by Electrochemical Micromachining. Journal of Micromanufacturing, 1(2), 124-133. https://doi.org/10.1177/2516598418765355
- Liu, W., Zhang, H., Luo, Z., Zhao, C., Ao, S., Gao, F., & Sun, Y. (2018). Electrochemical Micromachining on Titanium Using the NaClcontaining Ethylene Glycol Electrolyte. Journal of Materials Processing Technology, 255, 784-794.
- Mukhametzyanov, I., & Pamucar, D. (2018). A sensitivity analysis in MCDM problems: A statistical approach. Decision making: applications in management and engineering, 1(2), 51-80.
- Soundarrajan, M., & Thanigaivelan, R. (2018). Investigation on Electrochemical Micromachining (ECMM) of Copper Inorganic Material Using UV Heated Electrolyte. Russian Journal of Applied Chemistry, 91, 1805-1813. https://doi.org/10.1134/S1070427218110101
- Soundarrajan, M., & Thanigaivelan, R. (2021) Electrochemical Micromachining of Copper Alloy through Hot Air Assisted Electrolyte Approach. Russian Journal of Electrochemistry, 57, 172–182. https://doi.org/10.1134/S1023193521020117
- Thanigaivelan, R., Arunachalam, R. M., Karthikeyan, B., & Loganathan, P. (2013). Electrochemical Micromachining of Stainless Steel with Acidified Sodium Nitrate Electrolyte. Procedia CIRP, 6, 351-355.
- Vinod Kumaar, J. R., Thanigaivelan, R., & Dharmalingam, V. (2019). A Study on the Effect of Oxalic Acid Electrolyte on Stainless Steel (316L) through Electrochemical Micromachining. Advances in Micro and Nano Manufacturing and Surface Engineering, Springer, Singapore, 93-103.
- Vinod Kumaar, J. R., & Thanigaivelan, R. (2020). Performance of Magnetic Field-assisted Citric Acid Electrolyte on Electrochemical Micro-machining of SS 316L. Materials and Manufacturing Processes, 35(9), 969-977. https://doi.org/10.1080/10426914.2020.1750630
- Zavadskas, E. K., & Turskis, Z. (2011). Multiple Criteria Decision Making (MCDM) Methods in Economics: an overview. Technological and Economic Development of Economy, 17(2), 397-427.
- Zhang, H., Ao, S., Liu, W., Luo, Z., Niu, W., & Guo, K. (2017). Electrochemical Micro-machining of High Aspect Ratio Micro-tools Using Quasisolid Electrolyte. The International Journal of Advanced Manufacturing Technology, 91, 2965-2973.
- Corrosion Behaviour of SS304L at Unapproachable Regions of Fillet Weld Joints in Fast Reactor Reprocessing Application
Authors
1 Indira Gandhi Centre for Atomic Research, Kalpakkam – 603 102, IN
Source
Indian Welding Journal, Vol 56, No 4 (2023), Pagination: 46-53Abstract
The Purex process is opted for reprocessing of spent fuel from fast breeder reactors. The process employs nitric acid with concentrations up to 11M. Nitric Acid Grade (NAG) SS304L is opted as material of construction for equipments, process tanks and piping of such process plants so as to minimise the corrosion losses due to nitric acid. Practice C test as per ASTM A262-15(2021) (Standard Practices for Detecting Susceptibility to Intergrannular Attack in Austenitic Stainless Steels), with maximum average corrosion rate of 15 mils/year (mpy) for five cycles of 48 hrs, and 18 mpy in any cycle, is one of the criteria for qualification of material among others. A similar acceptance criterion is adopted for qualification of undiluted weld metal deposit of filler material and welding procedure specification (WPS) used therein. However, conventional tests may not always accurately represent the corrosion behaviour of surfaces at all locations. One of such are the surfaces which abut each other, and hence are not approachable for visual examination and thereafter cleaning, such as unwelded open abutted surfaces of fillet weld joint (root), partial penetration (pp) weld joints facing process fluids in abutted portions not in a welded portion of joint. Multiple factors like remains of heat tints, adjacent inter-spaces and type of surface finish may collectively contribute to corrosion rates exceeding acceptable limits. This study delves into the often-neglected corrosion behaviour of these challenging regions. The samples with abutting surfaces are prepared by using EDM cutting and and Gas tungsten arc welding (GTAW) and subjected to corrosion test. The samples made by using base material, filler and WPS that already qualified for corrosion test for groove weld joints and hence fillet weld joints as per ASME BPVC sec IX (2021). Higher corrosion rates are being observed in these weld joints than standard test specimens during study.Keywords
Abutting Surfaces, Heat Tint, Gas Tungsten Arc Welding, Huey Test.References
- Sunil Kumar B, Kain V, Benerjee K, Maniyar PD, Sridhar S, Jitendra K and Jatin K (2013); Effect of oxidation on corrosion behaviour of austenitic stainless steel 304l welds, Advanced Materials Research, 794, pp.598-605.
- Brajkovi T, Juraga I and Šimunovi V (2013); Influence of surface treatment on corrosion resistance of Cr-Ni steel, Engineering Review, 33. pp.129-134.
- Tuthill A H (1999); Heat tints on stainless steels can cause corrosion problems, NIDI Materials Performance, pp.72-73.
- Bobic B, Jegdić B and Gligorijević B (2014); Analysis of corrosion damage in a boiler made of AISI 304L stainless steel, Zastita Materijala, 55, broj 1.
- Somervuori M and Johansson HLS, Hoecke M, Akdut D, Hänninen N, Hannu (2004); Characterisation and corrosion of spot welds of austenitic stainless steels, Materials and Corrosion, 55, pp.421-436.
- Sunil Kumar B (2013); Effect of oxidation on corrosion behaviour of austenitic stainless steel 304l welds, Advanced Materials Research, 794, pp.598-605.
- Robert B (Ed) (2005); ASTM, Corrosion Tests and Standards: Application and Interpretation Sec. Ed. p.246.
- ASTMA262-15(2021); Standard Practices for Detecting Susceptibility to Intergranular Attack in Austenitic Stainless Steels, ASTM.
- Brown M (1974); Behavior of austenitic stainless steels in evaluation tests for the detection of susceptibility to intergrannular corrosion, Corrosion, 30, NACE, pp.2-3.
- Tripathi SK, Kuppusamy MV and Athmalingam S (2022); Qualification of critical weld joints for dynamically balanced nuclear component, Indian Welding Journal, 55, pp.54-62.
- Natarajan R and Raj B (2011); Fast reactor fuel reprocessing technology: successes and challenges, Asian nuclear prospects 2010, Energy Procedia, 7, pp.414–420.
- Raj B and Mudali U K (2006); Materials development and corrosion problems in nuclear fuel reprocessing plants, Progress in Nuclear Energy, 48(4), pp.283-313.
- Fauvet P (2012); Corrosion issues in nuclear fuel reprocessing plants, Nuclear Corrosion Science and Engineering, pp.679-728.
- Khan S and Hussain M (2020); Corrosion behaviour of 304L NAG and 310L NAG in nitric acid, Investigation of Causes and Preventive Steps, pp.1-9.
- SFA 5.9, Section II Part C, Boiler and pressure vessel code (2021); ASME, pp.277-303.
- QW 451.4 (2021), Sec IX, Boiler and pressure vessel code ASME (2021), p.205.
- A380/A380M, Standard Practice for Cleaning, Descaling, and Passivation of Stainless Steel Parts, Equipment, and Systems (2017), ASTM.
- Kelly RG (2003); Crevice Corrosion, Corrosion: Fundamentals, Testing, and Protection, Vol 13A, ASM Handbook, ASM International, pp.242–247.
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