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Institution

National Institute of Technology, Karnataka

EducationMangalore, Karnataka, India
About: National Institute of Technology, Karnataka is a education organization based out in Mangalore, Karnataka, India. It is known for research contribution in the topics: Corrosion & Cloud computing. The organization has 5017 authors who have published 7057 publications receiving 70367 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors proposed to use the aluminium dross and granular iron slag as partial replacement materials for cement and natural sand, respectively, to develop eco-concrete.
Abstract: Emphasis on utilizing the industrial waste/discarded materials can be brought about by discovering innovative methods of disposal. One such a way of waste disposal can be through utilizing them in concrete production as a filler material or pozzolana. In this regard, the present study proposes to use the aluminium dross and granular iron slag as partial replacement materials for cement and natural sand, respectively, to develop eco-concrete. Nine mixes were produced with different proportions of cement, aluminium dross, sand and granular iron slag content. The aluminium dross was replaced at 5, 10, 15 and 20% of the weight of the cement. Initially, the optimal substitution percentage of aluminium dross was found without the substitution of iron slag based on the strength results. Later, by adopting the optimal aluminium dross percentage with cement, the granular iron slag was partially substituted at 10, 20, 30 and 40% of natural sand to find the overall optimal blend. The strength and durability properties of the M40 grade concrete employing these two admixture combinations were analysed. It was noticed that the strength and durability properties of the eco-concrete produced by incorporating aluminium dross −5% and iron slag −20% were comparable to that of conventional concrete. Furthermore, from the toxicity analysis, it was seen that the leaching of heavy and trace elements from the eco-concrete was negligibly small and within the limits. In near future, the cost-effective, eco-friendly materials and technologies can be opted as a perpetual strategy to overcome severe material shortages for resource conservation and economy.

28 citations

Journal ArticleDOI
TL;DR: In this paper, the variations in steel-concrete interface (SCI) properties, such as porous zone thickness and calcium hydroxide content around the reinforcing steel, were studied with respect to curing time.
Abstract: In this investigation, the variations in steel-concrete interface (SCI) properties, such as porous zone thickness and calcium hydroxide content around the reinforcing steel, were studied with respect to curing time. Three kinds of commercially used cements, ordinary portland cement (OPC), portland pozzolana cement (PPC), and portland slag cement (PSC), were used, and their significance regarding SCI properties was investigated. A reliable thresholding grayscale-based technique was used to determine the porous zone thickness at the SCI. The properties of SCI were found to be quite influenced by the curing period. The PSC concrete showed significant reduction in mean porous zone thickness at SCI compared with OPC and PPC concrete after 90 days of curing. The reduction in mean porous zone thickness can be considered one of the many influencing factors that resulted in increased ultimate bond strength at 90 days of curing. Also, the variation in calcium hydroxide content from the SCI toward the bulk concrete was examined with a scanning electron microscope empowered with energy-dispersive spectroscopy. The findings indicate a gradual decrease in calcium hydroxide content away from the steel surface toward the bulk concrete. The prolonged curing resulted in a slightly higher reduction of calcium hydroxide content around the SCI for PPC and PSC concrete because of the pozzolanic reactions. Higher reduction of calcium hydroxide content around the SCI for PPC and PSC concrete is predicted to be the reason for improved ultimate bond strength after prolonged curing.

28 citations

Proceedings ArticleDOI
05 Aug 2010
TL;DR: Various architectures and matchmaking mechanisms defined in literature for the dynamic Web service discovery are reviewed (and classifies).
Abstract: The increasing number of Web service providers over the Web has prompted the need for research in service description and discovery. The Web service requesters need tools, in order to search suitable services that satisfy the requester’s needs. The Web service discovery is defined as a mechanism that allows the service requester to gain an access to the service descriptions and make them available to the application at runtime for binding. The service requesters can retrieve a service descriptions at design time or at run time from the service description repository i.e. service registry like UDDI. The lookup mechanism must support a query mechanism to explore services based on the type of interface, the binding information (protocols), properties (QoS properties), the taxonomy of service and the business (provider) information etc. This paper reviews (and classifies) various architectures and matchmaking mechanisms defined in literature for the dynamic Web service discovery.

28 citations

Journal ArticleDOI
TL;DR: An effective method to track an object in infrared imagery based on a combination of discriminative and generative approaches is proposed and a significant improvement of mean distance precision and mean overlap precision is accomplished as compared with the existing trackers.

28 citations

Proceedings ArticleDOI
01 Jul 2017
TL;DR: A novel method focused on performing effective sentiment analysis of bilingual sentences written in Hindi and English is proposed, that takes into account linguistic code switching and the grammatical transitions between the two considered languages.
Abstract: Sentiment Analysis is one of the prominent research fields in Natural Language Processing because of its widespread real-world applications. Customer preferences, options and experiences can be analyzed through social media, reviews, blogs and other online social networking site data. However, due to increasing informal usage of local languages in social media platforms, multi-lingual or code-mixed data is fast becoming a common occurrence. Mixed code is generated when users use more than a single language in social network comments. Such data presents a significant challenge for applications using sentiment analysis and is yet to be fully explored by researchers. Existing sentiment analysis methods applied to monolingual social data are not suitable for code-mixed data due to the inconsistency in the grammatical structure in these sentences. In this paper, a novel method focused on performing effective sentiment analysis of bilingual sentences written in Hindi and English is proposed, that takes into account linguistic code switching and the grammatical transitions between the two considered languages. Experimental evaluation using real-world, code-mixed datasets obtained from Facebook showed that the proposed approach achieved very good accuracy and was also efficient performance-wise.

28 citations


Authors

Showing all 5100 results

NameH-indexPapersCitations
Ajay Kumar5380912181
Bhiksha Raj5135913064
Alexander P. Lyubartsev491849200
Vijay Nair4742510411
Sukumar Mishra444057905
Arun M. Isloor382616272
Vinay Kumaran362624473
M. C. Ray301152662
Airody Vasudeva Adhikari301192832
Ian R. Lane271292947
D. Krishna Bhat26951715
Anurag Kumar261262276
Soma Biswas251272195
Chandan Kumar25661806
H.S. Nagaraja23901609
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202351
2022175
2021938
2020893
2019838
2018740