Dr. Bhaskaran Gopalakrishnan Profile

Dr. Bhaskaran Gopalakrishnan

Professor & Director of IAC at West Virginia Univ

SPIE Involvement:

Author

Proceedings Article | 17 November 2005 Paper

Benchmarking of energy consumption of continuous galvanizing lines

B. Gopalakrishnan, R. Chavan

Proceedings Volume 5999, 59990T (2005) https://doi.org/10.1117/12.630836

KEYWORDS: Zinc, Annealing, Thin film coatings, Coating, Computer simulations, Intelligence systems, Data modeling, Chemical analysis, Gas sensors, Lithium

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Proceedings Article | 17 November 2005 Paper

Algorithm for detecting defects in wooden logs using ground penetrating radar

Dayakar Devaru, Udaya Halabe, B. Gopalakrishnan, Sachin Agrawal, Shawn Grushecky

Proceedings Volume 5999, 59990B (2005) https://doi.org/10.1117/12.630835

KEYWORDS: General packet radio service, Data processing, Antennas, Defect detection, MATLAB, Optical filters, Reflection, Signal processing, Metals, Data acquisition

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Proceedings Article | 11 November 2004 Paper

Application of target costing in machining

Bhaskaran Gopalakrishnan, Ameet Kokatnur, Deepak Gupta

Proceedings Volume 5605, (2004) https://doi.org/10.1117/12.571657

KEYWORDS: Databases, Detection and tracking algorithms, Manufacturing, Algorithm development, Computer programming, Data modeling, Surface finishing, Human-machine interfaces, Metals, Systems modeling

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Proceedings Article | 11 November 2004 Paper

Real-time data acquisition and analysis for load estimation in electrical motors

Subodh Chaudhari, Bhaskaran Gopalakrishnan

Proceedings Volume 5605, (2004) https://doi.org/10.1117/12.570807

KEYWORDS: Data acquisition, Statistical analysis, Manufacturing, Energy efficiency, Intelligence systems, Data analysis, Design for manufacturability, Lead, Strontium, Amplifiers

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Proceedings Article | 11 November 2004 Paper

A computer-based approach to energy conservation in semiconductor manufacturing

Yogesh Mardikar, Bhaskaran Gopalakrishnan

Proceedings Volume 5605, (2004) https://doi.org/10.1117/12.570811

KEYWORDS: Semiconducting wafers, Semiconductor manufacturing, Semiconductors, Silicon, Oxides, Doping, Intelligence systems, Process modeling, Chemical species, Oxidation

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Proceedings Article | 4 March 2004 Paper

Real-time intelligent decision making with data mining

Deepak Gupta, Bhaskaran Gopalakrishnan

Proceedings Volume 5263, (2004) https://doi.org/10.1117/12.518478

KEYWORDS: Data mining, Databases, Algorithm development, Manufacturing, Mining, Data storage, Binary data, Knowledge discovery, Analytical research, Data modeling

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Database mining, widely known as knowledge discovery and data mining (KDD), has attracted lot of attention in recent years. With the rapid growth of databases in commercial, industrial, administrative and other applications, it is necessary and interesting to extract knowledge automatically from huge amount of data. Almost all the organizations are generating data and information at an unprecedented rate and they need to get some useful information from this data. Data mining is the extraction of non-trivial, previously unknown and potentially useful patterns, trends, dependence and correlation known as association rules among data values in large databases. In last ten to fifteen years, data mining spread out from one company to the other to help them understand more about customers' aspect of quality and response and also distinguish the customers they want from those they do not. A credit-card company found that customers who complete their applications in pencil rather than pen are more likely to default. There is a program that identifies callers by purchase history. The bigger the spender, the quicker the call will be answered. If you feel your call is being answered in the order in which it was received, think again. Many algorithms assume that data is static in nature and mine the rules and relations in that data. But for a dynamic database e.g. in most of the manufacturing industries, the rules and relations thus developed among the variables/items no longer hold true. A simple approach may be to mine the associations among the variables after every fixed period of time. But again, how much the length of this period should be, is a question to be answered. The next problem with the static data mining is that some of the relationships that might be of interest from one period to the other may be lost after a new set of data is used. To reflect the effect of new data set and current status of the association rules where some of the strong rules might become weak and vice versa, there is a need to develop an efficient algorithm to adapt to the current patterns and associations. Some work has been done in developing the association rules for incremental database but to the best of the author’s knowledge no work has been done to do the same for periodic cause and effect analysis for online association rules in manufacturing industries. The present research attempts to answer these questions and develop an algorithm that can display the association rules online, find the periodic patterns in the data and detect the root cause of the problem.

Proceedings Article | 3 October 2001 Paper

Safety by design and future developments

Magdy Akladios, Dianne McMullin, Bhaskaran Gopalakrishnan, Paul Becker, Michael Carr, Paul Lobo, Maryam Farmani, Andrew Decker

Proceedings Volume 4565, (2001) https://doi.org/10.1117/12.443125

KEYWORDS: Safety, Databases, Visualization, Human-machine interfaces, Computer architecture, Telecommunications, Logic, Rule based systems, Prototyping, Intelligence systems

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Proceedings Article | 13 October 2000 Paper

Advances in safety by design

Magdy Akladios, Dianne McMullin, Paul Becker, Bhaskaran Gopalakrishnan, Michael Carr, Paul Lobo

Proceedings Volume 4192, (2000) https://doi.org/10.1117/12.403669

KEYWORDS: Safety, Computer aided design, Databases, Injuries, System identification, Prototyping, Personal protective equipment, Internet, Computer architecture, Human-machine interfaces

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Proceedings Article | 20 August 1999 Paper

Design for worker safety: an expert systems approach

Magdy Akladios, Dianne McMullin, Bhaskaran Gopalakrishnan, Cathie Bell, Michael Carr, Ashish Kapoor, Paul Lobo, Warren Myers, Paul Becker

Proceedings Volume 3833, (1999) https://doi.org/10.1117/12.359521

KEYWORDS: Safety, Control systems, Computing systems, Databases, Prototyping, Artificial intelligence, Personal protective equipment, Internet, Mechanical engineering

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Proceedings Article | 20 August 1999 Paper

Toward an integrated approach to systems design

Hany Ammar, Sherif Yacoub, Ali Mili, Bhaskaran Gopalakrishnan

Proceedings Volume 3833, (1999) https://doi.org/10.1117/12.359506

KEYWORDS: Computer aided design, Systems modeling, System integration, Manufacturing, Intelligence systems, Complex systems, Solid modeling, Software engineering, Computing systems, Telecommunications

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Proceedings Article | 9 October 1998 Paper

THINEX: an expert system for estimating forest harvesting productivity and cost

Chris LeDoux, Bhaskaran Gopalakrishnan, R. Pabba

Proceedings Volume 3517, (1998) https://doi.org/10.1117/12.326931

KEYWORDS: Databases, Computing systems, Intelligence systems, Breast, Computer simulations, Analytical research, Systems modeling, Software, Ecosystems, Visualization

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Proceedings Article | 9 October 1998 Paper

Development of an expert system to help design for worker safety

Magdy Akladios, Bhaskaran Gopalakrishnan, Aaron Bird, Michael Carr, Ricardo Garcia, Dianne McMullin, Warren Myers, Vikram Vennetti, Juan Zayas, Paul Becker, Dan McCullom

Proceedings Volume 3517, (1998) https://doi.org/10.1117/12.326929

KEYWORDS: Safety, Injuries, Databases, Standards development, Internet, Prototyping, Artificial intelligence, Mechanical engineering, Evolutionary algorithms

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