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Institution

Indian Institute of Management Calcutta

EducationKolkata, India
About: Indian Institute of Management Calcutta is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Supply chain & Context (language use). The organization has 415 authors who have published 1354 publications receiving 21725 citations. The organization is also known as: IIMC & IIM Calcutta.


Papers
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Proceedings ArticleDOI
19 Jul 2011
TL;DR: A BIST structure to test delay fault of various resources and interconnects of FPGA, which can detect the presence of fault, even if all the three units in a BIST are faulty.
Abstract: The recent trend of reconfigurable hardware and convergence of hardware platform in embedded system have enhanced the application of FPGAs. Although the capability and performance of FPGA have advanced, the testing of FPGAs both online and off-line (manufacturer oriented testing) poses a major challenge. Importance of delay testing has grown especially for high-speed circuits. Even presence of small delay fault may cause any critical path to fail. As delay testing, using automatic test equipment is found to be quite expensive; BIST (Built-In-Self-Test) can significantly reduce the cost of delay fault detection without using extra hardware. We have presented a BIST structure to test delay fault of various resources and interconnects of FPGA. The proposed scheme can be implemented for both online as well as off-line testing. We have also proposed a new 3-diagnosable BISTer structure that improves the testing efficiency of our BISTer. The proposed technique can detect the presence of fault, even if all the three units ( TPG, ORA, BUT) in a BIST are faulty. We have simulated our method in Xilinx Vertex-II FPGA, using ISE tool Jbits3.0 API and XHWI (Xilinx Hardware Interface) provided by Xilinx and MATLAB7.0.

4 citations

Journal ArticleDOI
TL;DR: Chatterjea, Jarrow, Neal, and Yildirim as discussed by the authors proposed a general modeling approach for valuing a bank9s credit card loan portfolio within an extended Heath-Jarrow-Morton (HJM) paradigm, and then illustrate how it works by fitting it to the credit card portfolios of five different banks.
Abstract: Standard methodology for valuing interest-dependent assets is by now well established, with the Heath-Jarrow-Morton (HJM) model being one of the most widely-used approaches. However, despite representing a significant portion of many banks9 portfolios, credit card loans as an asset class have not been brought into the standard valuation framework. Like a bond position, valuing a bank9s credit card loan portfolio involves projecting the levels of future interest rates. But a portfolio of credit card loans also has several special features not shared by bonds. One is that the total loan face value shows long-run growth, but also short-term fluctuation, reflecting both seasonal effects and interest rate changes. A second is that the profitability, and hence the capitalized value, of the loan portfolio depends on the difference between the rate earned on the loans and the rate the bank must pay to fund those loans, so both rates need to be modeled. In this article, Chatterjea, Jarrow, Neal, and Yildirim offer a general modeling approach for valuing a bank9s credit card loan portfolio within an extended HJM paradigm, and then illustrate how it works by fitting it to the credit card portfolios of five different banks.

4 citations

Book ChapterDOI
07 Jun 2004
TL;DR: In this article, the authors consider the problem of learning with an embedded reject option, in terms of minimizing an appropriately defined risk functional, and discuss the applicability thereof of some fundamental principles of learning, such as minimizing empirical risk and structural risk.
Abstract: The option to reject an example in order to avoid the risk of a costly potential misclassification is well-explored in the pattern recognition literature. In this paper, we look at this issue from the perspective of statistical learning theory. Specifically, we look at ways of modeling the problem of learning with an embedded reject option, in terms of minimizing an appropriately defined risk functional, and discuss the applicability thereof of some fundamental principles of learning, such as minimizing empirical risk and structural risk. Finally, we present some directions for further theoretical work on this problem.

4 citations

Journal ArticleDOI
TL;DR: In this paper, the conceptualization of organizational memory in heterogeneous, multiple kinds of ways, emphasizing its plurality and explores how this can be done along varied dimensions, is discussed.
Abstract: In this article, the author reflects on how a study on “organizational memory” in the context of software development firms in India brought forth a number of issues associated with choices in research. He proposes the conceptualization of organizational memory in heterogeneous, multiple kinds of ways, emphasizing its plurality and explores how this can be done along varied dimensions. He also demonstrates how these findings in turn influenced the ensuing doctoral work, including the framework chosen and the methodology adopted.

4 citations


Authors

Showing all 426 results

NameH-indexPapersCitations
Russell W. Belk7635139909
Vishal Gupta473879974
Sankaran Venkataraman327519911
Subrata Mitra322193332
Eiji Oki325885995
Indranil Bose30973629
Pradip K. Srimani302682889
Rahul Mukerjee302063507
Ruby Roy Dholakia291025158
Per Skålén25572763
Somprakash Bandyopadhyay231111764
Debashis Saha221812615
Haritha Saranga19421523
Janat Shah19521767
Rohit Varman18461387
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202216
202189
202080
201998
201873