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VV Mineral, managing director V Subramanian, joined the family owned company back in 2002 and has been responsible for modernising and preserving the garnet and ilmenite market in India.
In 2002, we have installed a 60kw solar power generator at the rooftop of new head office building, which generated about 60,000kwh (CO2 emission reduction of about 25t-CO2) annually.
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A Virtual Sensor estimates product objective or process conditions using mathematical models rather than and sometimes in conjunction with physical sensors. These mathematical models use other physical sensor readings to calculate the estimated property or condition. Virtual sensor may provide flexibility, cost effective solutions, promote diversity, ensure security and increase manageability.
Wireless ad-hoc sensor networks and routing data in them is a significant research area. The objective of this paper is to examine resource depletion attacks at the routing protocol layer, which attempts to permanently disable network nodes by quickly draining their battery power. This type of attack is called as vampire attack. Vampire attacks are very difficult to detect because they attack the node only by sending protocol-compliant messages.
The two major challenges that industries are facing today are continuous improvement in productivity and quality of the product. An alternative to the Classical and Taguchi experimental design is the lesser known but much simpler Shainin DOE approach. Shainin methods refer to a collection of principles, which make up the framework of a continually evolving approach to quality. Bosch Production System (BPS) - one of the leading manufacturers in Diesel system equipments, has been successfully employing the strong statistical tool ‘Shainin’ for the root cause identification and Design of Experiments (DOE) techniques for analysis and optimization of the quality related issues.
The design of intelligent control systems has become an area of intense research interest. A promising direction in the design of intelligent systems involves the use of Fuzzy Logic Controller (FLC) and Artificial Neural controller (ANC) to discover the abilities of intelligent control systems in utilizing experience via rule-based knowledge.
This paper proposes the artificial neural network based controller for speed control of a separately excited DC motor. The Artificial Neural Network controller allows controlling both type of systems i.e. linear and non-linear system by training the network. So it is a novel approach to study and a broad research area.