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Institution

Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Steganography & Support vector machine. The organization has 581 authors who have published 1045 publications receiving 8345 citations.


Papers
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Book ChapterDOI
29 Mar 2016
TL;DR: This work considers the top-k procurement decision problem in a multi-item auction, where there exists only one prospective buyer and the input consists of a set of items, where each item is partitioned into equal number of shares.
Abstract: We consider the top-k procurement decision problem in a multi-item auction, where there exists only one prospective buyer and the input consists of (i) a set of items, where each item is partitioned into equal number of shares, (ii) a set of suppliers, and (iii) for each supplier, her bids of selling different shares of each item; our target is to find k procurements with the least total costs. Kelly and Byde [SIGEcom 2006] studied the case where for each item, we may buy from each supplier at most once; this setting is suitable in most of the cases where total cost of a procurement is the primary concern.

2 citations

Book ChapterDOI
01 Jan 2015
TL;DR: A secured message categorization technique that enables forwarder nodes to categorize messages without compromising on their confidentiality is proposed that expedites the delivery of categorized messages to their appropriate destinations.
Abstract: Despite concerted efforts for relaying crucial situational information, disaster relief volunteers experience significant communication challenges owing to failures of critical infrastructure and longstanding power outages in disaster affected areas. Researchers have proposed the use of smart-phones, working in delay tolerant mode, for setting up a peer-to-peer network enabling post disaster communication. In such a network, volunteers, belonging to different rescue groups, relay situational messages containing needs and requirements of different categories to their respective relief camps. Delivery of such messages containing heterogeneous requirements to appropriate relief camps calls for on-the-fly categorization of messages according to their content. But, due to possible presence of malicious and unscrupulous entities in the network, content of sensitive situational messages cannot be made accessible even if that helps in categorization. To address this issue, we, in this paper, propose a secured message categorization technique that enables forwarder nodes to categorize messages without compromising on their confidentiality. Moreover, due to group dynamics and interaction pattern among groups, volunteers of a particular group encounter other volunteers of their own group (or groups offering allied services) more often than volunteers of other groups. Therefore, we also propose a forwarding scheme that routes messages, destined to a particular relief camp, through volunteers of that group or who encounter members of that group most frequently. This expedites the delivery of categorized messages to their appropriate destinations.

2 citations

Book ChapterDOI
20 Apr 2018
TL;DR: This work has developed one Genetic Algorithm (GA) based algorithm, MicroarrayGA, to rank the genes responsible for a particular cancer to occur and compared the results with three existing methods on the basis of percentage of accuracy, precision, recall, F1-Score and G-Mean metrics.
Abstract: Genes need to be investigated either in Gene Interaction Network or in a DNA microarray gene expression data to understand the role they play in complex diseases like cancer. The prioritized genes can help us to know the molecular mechanism, as well as to discover the promising candidates of cancer. Several gene ranking algorithms already have been proposed that produces the top ranked genes according to their importance with respect to a particular disease. In this work, we have developed one Genetic Algorithm (GA) based algorithm, MicroarrayGA, to rank the genes responsible for a particular cancer to occur. The whole research works on six datasets like Colorectal Cancer, Diffuse Large B-Cell Lymphoma, Pediatric Immune Thrombocytopenia (ITP), Small Cell Lung Cancer (SCLC), Breast Cancer and Prostate Cancer, publicly available from NCBI (National Center for Biotechnology Information) online repository. We have validated the outcome of the proposed algorithm by classification step using Support Vector Machine (SVM) classifier and we have also compared the results of MicroarrayGA with three existing methods on the basis of percentage of accuracy, precision, recall, F1-Score and G-Mean metrics.

2 citations

Journal ArticleDOI
TL;DR: In this paper, a curved quadratic isoparametric eight noded element and three noded beam elements are used to model the shell surface and the stiffeners respectively, and the results obtained from the present study are compared with established ones to check the correctness of the present approach.
Abstract: Abstract A review of literature reveals that bending analysis of laminated composite stiffened hypar shells with cutout have not received due attention. Being a doubly ruled surface, a skewed hypar shell fulfils aesthetic as well as ease of casting requirements. Further, this shell allows entry of north light making it suitable as civil engineering roofing units. Hypar shell with cutout subjected to uniformly distributed load exhibits improved performances with stiffeners. Hence relative performances of antisymmetric angle-ply laminated composite stiffened hypar shells in terms of displacements and stress resultants are studied in this paper under static loading. A curved quadratic isoparametric eight noded element and three noded beam elements are used to model the shell surface and the stiffeners respectively. Results obtained from the present study are compared with established ones to check the correctness of the present approach. A number of additional problems of antisymmetric angle-ply laminated composite stiffened hypar shells are solved for various fibre orientations, number of layers and boundary conditions. Results are interpreted from practical application standpoints and findings important for a designer to decide on the shell combination among a number of possible options are highlighted.

2 citations

Book ChapterDOI
01 Jan 2020
TL;DR: In this paper, the authors highlight and summarize the different grades of steel for their high corrosion resistance and discuss surface engineering and application of corrosion resistance coatings for the prevention of corrosion of construction steel rebars.
Abstract: Reinforced concrete is one of the most versatile materials for construction. In spite of this, the performance is limited by corrosion, cracking, and spalling of the steel rebars. The steel embedded in the concrete is protected by a passive film from the corrosive attack of chlorides, carbon dioxide, and sulphates. As the concentration of chlorides, carbon dioxide, or sulphates increases above a certain threshold value at the concrete rebar interface, the passive film breaks and leads to a severe increase in the corrosion rate. Further, dynamic loading and the temperature of the surroundings also affect the durability of the reinforcements. The rebar may be protected from such a corrosion attack by the suitable selection of material, improving the concrete quality and tailoring its composition or application of protective coatings. The present chapter highlights and summarizes the different grades of steel for their high corrosion resistance. Further, surface engineering and application of corrosion resistance coatings for the prevention of corrosion of construction steel rebars has been also discussed elaborately.

2 citations


Authors

Showing all 581 results

NameH-indexPapersCitations
Debnath Bhattacharyya395786867
Samiran Mitra381985108
Dipankar Chakravorty353695288
S. Saha Ray342173888
Tai-hoon Kim335264974
Anindya Sen291093472
Ujjal Debnath293353828
Anirban Mukhopadhyay291693200
Avijit Ghosh281212639
Mrinal K. Ghosh26642243
Biswanath Bhunia23751466
Jayati Datta23551520
Nabarun Bhattacharyya231361960
Pinaki Bhattacharya191141193
Dwaipayan Sen18711086
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20227
2021110
202087
201992
201883
2017103