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Kurukshetra, India

Gupta R.,GIMT | Garg D.,National Institute of Technology Kurukshetra
International Journal of Applied Engineering Research | Year: 2012

Just-In-Time was initially used by the Toyota Motor Company of Japan, after which it took them 20 years to fully implement the system. It is assumed to be a very effective means to reduce the wastage of resources and to keep it at its minimum level. It is an important philosophy to control the flow of materials within a company. It helps to improve the manufacturing efficiency by eliminating non-value added activities. Just-In-Time focuses on inventory to be supplied to concerned sections when it is needed and not before. JIT manufacturing by now is a widely researched and applied manufacturing philosophy, in a variety of industries across the globe. However, most of the reported instances of successful and unsuccessful JIT practices lie with in large manufacturing settings. Literature shows that JIT does not restrict itself to high technology environments which make extensive use of modern technologies. This paper makes an attempt to motivate SMEs to implement newer philosophies like JIT for improving productivity. © Research India Publications. Source


Mandal S.,GIMT | Saha G.,NEHU | Pal R.K.,University of Calcutta
Advances in Intelligent Systems and Computing | Year: 2016

Current progress in cellular biology and bioinformatics allow researchers to get a distinct picture of the complex biochemical processes those occur within a cell of the human body and remain as the cause for many diseases. Therefore, this technology opened up a new door to the researchers of computer science as well as to biologists to work together to investigate the causes of a disease. One of the greatest challenges of the post-genomic era is the investigation and inference of the regulatory interactions or dependencies between genes from the microarray data. Here, a new methodology has been devised for investigating the genetic interactions among genes from temporal gene expression data by combining the features of Neural Network and Cuckoo Search optimization. The developed technique has been applied on the real-world microarray dataset of Lung Adenocarcinoma for detection of genes which may be directly responsible for the cause of Lung Adenocarcinoma. © Springer India 2016. Source


Kashyap M.,GIMT
International Journal of Applied Engineering Research | Year: 2012

When we speak of boosting energy efficiency in industries, Co-generation is the buzzword being advocated as the most beneficial technology. Many industries require electricity as well as heat in the form of steam or hot water for their operations. These requirements are normally met through different energy sources. Simultaneous production of electricity and heat from a single primary energy source is termed as co-generation or combined heat and power. Cogeneration is one of the most efficient energy conversion processes with large cost saving potential which boosts competitiveness of the industries. Higher energy conversion efficiencies will also contribute to lower emission in particular CO2, the main green house gas. The power generated from cogeneration projects could be used for meeting the captive requirements and the surplus power could be exported to the grid. Cogeneration is the environmentally-friendly, economically-sensible way to produce power, simultaneously saving significant amounts of money as well as reducing greenhouse gas emissions. It is a significant measure to enhance industrial competitiveness. This paper discusses selection & operational issues in common cogeneration systems. Also it gives insight into the operating parameters of cogeneration systems which exist in sugar industries. © Research India Publications. Source


Singhal A.,GIMT | Mittal V.,MMU MULANA
International Journal of Applied Engineering Research | Year: 2012

This paper is a brief review in the field of fingerprint authentication. In the modern computerized world, it has become more important to authenticate people in a secure way. Applications such as online banking or online shopping use techniques that depend on personal identification numbers, keys, or passwords. However there may be risk of data being forgotten, lost, or even stolen. Therefore biometric authentication methods provide a unique way to be able to authenticate people. As features such as person's gait, face or signature may change with passage of time and may be fabricated. However fingerprints are the oldest and most widely used form of biometric identification as everyone is known to have unique, immutable fingerprints. In the fingerprint recognition pre-processing such as smoothing, binarization, and thinning are needed. Then, fingerprint minutiae feature is extracted. Some fingerprint identification algorithm such as Fast Fourier Transform may require so much computation as to be impractical while Wavelet based algorithm may be the key to making a low cost fingerprint identification system that would operate on a small computer. © Research India Publications. Source


Gogoi M.,GIMT | Bhattacharyya D.K.,Tezpur University
Advances in Intelligent Systems and Computing | Year: 2014

This paper presents an effective method for decision level fusion of fingerprint and iris biometrics using binary ant colony optimization (ACO) technique to identify the imposter instances. ACO is an evolutionary method. The selection of a proper set of optimization parameters for ACO is a multi-objective decision making optimization problem. Initially the matching scores for individual biometric classifiers are computed. Next, a ACO-based procedure is followed to simultaneously optimize the parameters and the fusion rules for fingerprint and iris biometrics. The proposed method has been found to perform satisfactorily on several benchmark datasets. © Springer India 2014. Source

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