Institution
Birla Institute of Technology, Mesra
Education•Ranchi, India•
About: Birla Institute of Technology, Mesra is a education organization based out in Ranchi, India. It is known for research contribution in the topics: Dielectric & Microstrip antenna. The organization has 2801 authors who have published 4789 publications receiving 52426 citations. The organization is also known as: BIT.
Topics: Dielectric, Microstrip antenna, Population, CMOS, Antenna (radio)
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors proposed a Lean-Sigma framework to reduce the defect occurring in the final product (automobile accessories) manufactured by a die-casting process, which integrates Lean tools (current state map, 5S system, and total productive maintenance) within Six Sigma DMAIC methodology to enhance the bottom-line results and win customer loyalty.
Abstract: Lean and Six Sigma are two widely acknowledged business process improvement strategies available to organisations today for achieving dramatic results in cost, quality and time by focusing on process performance. Lately, Lean and Six Sigma practitioners are integrating the two strategies into a more powerful and effective hybrid, addressing many of the weaknesses and retaining most of the strengths of each strategy. Lean Sigma combines the variability reduction tools and techniques from Six Sigma with the waste and non-value added elimination tools and techniques from Lean Manufacturing, to generate savings to the bottom-line of an organisation. This paper proposes a Lean Sigma framework to reduce the defect occurring in the final product (automobile accessories) manufactured by a die-casting process. The proposed framework integrates Lean tools (current state map, 5S System, and Total Productive Maintenance (TPM)) within Six Sigma DMAIC methodology to enhance the bottom-line results and win customer loyalty. Implementation of the proposed framework shows dramatic improvement in the key metrics (defect per unit (DPU), process capability index, mean and standard deviation of casting density, yield, and overall equipment effectiveness (OEE)) and a substantial financial savings is generated by the organisation.
411 citations
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TL;DR: An overview of the significance of the use of molecular biomarkers as diagnostic and prognostic tools for marine pollution monitoring is presented.
Abstract: This paper presents an overview of the significance of the use of molecular biomarkers as diagnostic and prognostic tools for marine pollution monitoring. In order to assess the impact of highly persistent pollutants such as polychlorinated biphenyls (PCB), polychlorinated dibenzo–dioxins (PCDD), polychlorinated dibenzo–furans (PCDF), polynuclear aromatic hydrocarbons (PAH), tributyltin (TBT) and other toxic metals on the marine ecosystem a suite of biomarkers are being extensively used worldwide. Among the various types of biomarkers, the following have received special attention: cytochrome P4501A induction, DNA integrity, acetylcholinesterase activity and metallothionein induction. These biomarkers are being used to evaluate exposure of various species of sentinel marine organisms (e.g. mussels, clams, oysters, snails, fishes, etc.) to and the effect of various contaminants (organic xenobiotics and metals) using different molecular approaches [biochemical assays, enzyme linked immuno-sorbent assays (ELISA), spectrophotometric, fluorometric measurement, differential pulsed polarography, liquid chromatography, atomic absorption spectrometry]. The induction of the biotransformation enzyme, cytochrome P4501A in fishes (Callionymus lyra, Limanda limanda, Serranus sp., Mullus barbatus) and mussels (Dreissena polymorpha) by various xenobiotic contaminants such as PCBs, PAHs, PCDs is used as a biomarker of exposure to such organic pollutants. The induction of cytochrome P4501A is involved in chemical carcinogenesis through catalysis of the covalent bonding of organic contaminants to a DNA strand leading to formation of DNA adduct. Measurement of the induction of cytochrome P4501A in terms of EROD (7-ethoxy resorufin O-deethylase) activity is successfully used as a potential biomarker of exposure to xenobiotic contaminants in marine pollution monitoring.
340 citations
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TL;DR: An overview of the nature, chemistry and properties of guar gum is given and recent developments in its modifications and applications in major industries like hydraulic fracturing, explosives, food, agriculture, textile, paper, cosmetics, bioremediation, drug delivery, medical and pharmaceuticals are discussed.
340 citations
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01 Dec 2011TL;DR: This paper proposes a method to recognize human gestures using a Kinect® depth camera, which was trained using a multi class Support Vector Machine to successfully recognize multiple human gestures.
Abstract: Gesture recognition is essential for human — machine interaction. In this paper we propose a method to recognize human gestures using a Kinect® depth camera. The camera views the subject in the front plane and generates a depth image of the subject in the plane towards the camera. This depth image is then used for background removal, followed by generation of the depth profile of the subject. In addition to this, the difference between subsequent frames gives the motion profile of the subject and is used for recognition of gestures. These allow the efficient use of depth camera to successfully recognize multiple human gestures. The result of a case study involving 8 gestures is shown. The system was trained using a multi class Support Vector Machine.
290 citations
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TL;DR: Methyl ester of karanja oil from Jharkhand region has been prepared by transesterification method as mentioned in this paper, and the maximum thermal efficiency of methyl ester has been determined and found to be slightly less than that of the diesel.
282 citations
Authors
Showing all 2858 results
Name | H-index | Papers | Citations |
---|---|---|---|
Bharat Bhushan | 116 | 1276 | 62506 |
Santosh Kumar | 80 | 1196 | 29391 |
Ramesh Chandra | 66 | 620 | 16293 |
J. Paulo Davim | 64 | 382 | 13403 |
Manish Kumar | 61 | 1425 | 21762 |
Sandeep Singh | 52 | 670 | 11566 |
Ajar Nath Yadav | 48 | 147 | 6090 |
Indranil Manna | 46 | 263 | 9306 |
Anant Paradkar | 43 | 195 | 6260 |
Sagar Pal | 40 | 141 | 5271 |
Pratyoosh Shukla | 39 | 194 | 4373 |
Neha Gupta | 36 | 213 | 4782 |
Prasanta K. Jana | 35 | 169 | 4135 |
Sumit Basu | 34 | 123 | 4275 |
Pradeep Sharma | 33 | 436 | 4825 |