Indian Institute of Technology Bombay

About: Indian Institute of Technology Bombay is a education organization based out in Mumbai, India. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 16756 authors who have published 33588 publications receiving 570559 citations.

Highly Exfoliated MWNT-rGO Ink-Wrapped Polyurethane Foam for Piezoresistive Pressure Sensor Applications.

Abstract: The fabrication of pressure sensors based on reduced graphene oxide (rGO) as the sensing material is challenging due to the intrinsic hydrophobic behavior of graphene oxide inks as well as the agglomeration of graphene oxide flakes after reduction. Hydrazine (a reducing agent) and a dual-component additive comprising benzisothiazolinone and methylisothiazolinone in appropriate proportion were used to synthesize a rGO ink with a hydrophilic nature. Utilizing this hydrophilic rGO ink mixed with multiwalled carbon nanotubes (MWNTs), a very simple, low-cost approach is demonstrated for the fabrication of a pressure sensor based on polyurethane (PU) foam coated with the MWNT–rGO ink (MWNT–rGO@PU foam). The MWNT–rGO@PU foam-based devices are shown to be versatile pressure sensors with the potential to detect both small-scale and large-scale movements. At low pressure (below 2.7 kPa, 50% strain), the formation of microcracks that scatter electrical charges results in a detectable increase in resistance suitable ...

Data Flow Analysis: Theory and Practice

Abstract: This work provides an in-depth treatment of data flow analysis technique. Apart from including interprocedural data flow analysis, this book is the first to extend detailed coverage of analysis beyond bit vectors. Supplemented by numerous examples, it equips readers with a combination of mutually supportive theory and practice, presenting mathematical foundations and including study of data flow analysis implementation through use of the GNU Compiler Collection (GCC). Readers can experiment with the analyses described in the book by accessing the authors web page, where they will find the source code of gdfa (generic data flow analyzer).

Energy Management in Microgrids Using Demand Response and Distributed Storage—A Multiagent Approach

Abstract: In this paper, an agent-based energy-management system is proposed to facilitate power trading among microgrids with demand response and distributed storage (DRaDS). The key focus of this approach is to utilize diversity in load consumption patterns of the customers and energy availability from the distributed energy resources, distributed storage, and demand response (DR) in reducing the peak demand and minimizing the cost of electricity. An index-based incentive mechanism is also proposed to encourage customers participating in DR based on frequency and size of the participation. The proposed strategies are validated using two case studies with interconnected microgrids. Based on extensive simulation results of the system being developed using the Java Agent DEvelopment framework (JADE), it has been found that multiagent-based energy management with DRaDS is successful in reducing the system peak and cost benefit for customers with a high priority index.