The project aimed to provide personalised feedback to about 25,000 electricity consumers in the town of Aluva, Kerala. The goal of these personalised feedback inputs was to effect positive changes to consumer behaviour. The data from these 25,000 was compared with the consumption of a control group of another 25,000 from the same town.
Kumbh Mela is the largest religious festival in the world, and involves the pilgrimage of some 100 million Hindus to a sacred river. The next festival will take place in Ujjain in 2016. Unfortunately, many of the previous versions of this event have been marred by accidents and deaths. Human crowds are complex adaptive systems, making predicting their behaviour challenging. The Kumbh Mela Experiment combines geoinformatics and remote sensing with computational science. The project will develop sophisticated methods and algorithms to aid planners and event managers in managing such extremely large crowds.
Solar PV plants need to be maintained if they are to continue to work at their rated output and efficiency. But there are various failure modes observed in a PV installation. It is not practical to equip every module with sensors to detect failure modes. Therefore, the project aims to use sparsely placed, low cost sensors and a robust analytics engine to (1) Identify and localise failure modes and reduce plant downtime and repair costs, (2) Optimise plant cleaning schedules (thus reducing usage of water required to clean panels), and (3) Improve plant output and efficiency.
Suman Rao, Mony P, Thankachan P, Ponnusamy V, Waghmare A, Washington M, Thooya V, Chinnappa J, Pushpraj M, Raj T, Thomas T of St. John’s National Academy of Health Sciences and Ashish Joglekar, Vasanth R., Alok Rawat and Bharadwaj Amrutur of the Robert Bosch Centre for Cyber-Physical Systems have been awarded the Best Poster Innovation Award for their poster Remote…
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Most of the smart city components, as articulated by the 20 candidate cities chosen for Smart City implementation by the Indian Government, can greatly benefit by the use of cameras as sensing devices. Examples include surveillance, smart parking, transit management, etc. This is not surprising as cameras are a very versatile and rich sensor and hence one can extract useful information to enable a diverse set of applications. However, the negative is the high data bandwidth required to transfer data from the cameras to the computing center. Hence it is imperative that one explore ways of analyzing the camera data at the edge so that only useful information is sent to the computing center, thus minimizing bandwidth. At the same time, the whole system needs to be flexible enough to allow programmatic control of what useful information to extract as this depends on the actual application. Hence this forms the basic premise and problem for this proposal.
One of the hallmarks of a cyber-physical system is the emergence of collective intelligence from the individual elements of the system. For instance, the synthesis of a decision based on multimodal sensory information from the individual nodes of a sensor network. Complex living organisms can also be considered as cyber-physical systems because their survival depends on taking the right decisions based on the collective information gathered from their sensing organs as well as possibly from their neighbours.
In this context, bacteria and similar microbes present an excellent test-bed to study how collective intelligence emerges in a biological system. Given the fact that such systems have evolved over millions of years, the methods they use for decision making and for dealing with noise may be near-optimal and may give us valuable insights in the design of non-living cyber-physical systems.
A microgrid is a networked group of distributed energy sources with the goal of generating, converting and storing energy. This scenario is being envisaged as an important alternative to the conventional scheme with large power stations transmitting energy over long distances. The microgrid technology is useful particularly in the Indian context where extending power supply from the main grids to remote villages is a challenge. In order to take full advantage of the modularity and flexibility of micro-grid technologies, smart control mechanisms are required to manage and coordinate these distributed energy systems so as to minimize the costs of energy production, conversion and storage, without jeopardizing grid stability.
A well-designed communication network that provides reliable quality of service (QoS) guarantees is a critical platform on which a variety of novel cyber-physical system (CPS) applications can be built. When designed well, the CPS entities can seamlessly talk to each other, and the network acts merely as a transparent enabler. When designed poorly, bottlenecks, congestions, delays, etc. that develop can choke not only CPS applications and but also the development of new CPS applications.
We are at a point in time where large scale IoT deployments, those that can improve delivery of societal services, are just beginning – smart meters at homes, safety monitoring of equipments, mobile health, improved distribution and leakage detection in water networks, among many others. Many innovative services are also being developed around such applications. It will not be long before IoT data starts flooding the network. It is therefore crucial that the right design decision choices are made at this stage, when the IoT networks are being planned, because once deployed, there is always reluctance to modify them.
[sta_anchor id=”Decentralized”]Decentralized low power filtration via field effect – A water bottle for desalination Principal Investigator Prof Sanjiv Sambandan (Professor, Department of Instrumentation and Applied Physics) Duration 1 August 2012 to 31 July 2013 Waste water management is a global problem. Technologies based on membranes and chemicals to treat waste water place immense costs to the environment. This project focused…
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[sta_anchor id=”AMBULET”]An interactive gateway for relaying physiological parameters and video data between mobile ambulances and hospitals (AMBULET) Principal Investigator Dr Malati Hegde (Principal Scientific Officer, Department of Electrical Communication Engineering) Duration 1 July 2013 to 30 June 2014 “AMBULET” is an interactive gateway for relaying physiological parameters and video data between mobile ambulances and the health practitioners/hospitals. Nearly 51% of accident–related deaths occur…
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