Tuesday, September 6, 2016

University Rankings- India

Economic Times Reports
Nine of the 10 Indian Universities ranked 700th or above in the Quacquarelli Symonds World University Rankings 2016/17 have lost ground compared to last year in terms of both academic reputation and employer reputation. 

Read more at:
http://economictimes.indiatimes.com/articleshow/54026745.cms?utm_source=contentofinterest&utm_medium=text&utm_campaign=cppst



Business Standard reports...
A relatively low number of doctoral students coupled with globally insufficient faculty-student ratio have resulted in the Indian Institute of Science (IISc) Bangalore, along with six of seven top-ranked (IITs), slip in the 13th edition of the QS World University Rankings 2016-17.

Global University Rankings

University Rankings - Australia

50 Best Smartphone Apps For Teachers...

Smart campus for smart communities in smart cities.


SMART CAMPUS INITIATIVE & INNOVATIONS
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Chicago Internet 2

Friday, September 2, 2016

Case Study of a Smart Campus project (The Indian Institute of Science- IISc)

The Indian Institute of Science is developing an open, integrated and extensible Internet of Things (IoT) technology stack for Smart Management of campus utilities.

The IoT stack brings together:
hybrid sensing with physical and crowd-sourced sensors,
diverse networking technologies,
Big Data Analytics platforms,
Sensor driven utility management.

The project is  a "laboratory" to test and validate IoT research and technologies for India.

About 30 buildings on campus fitted with IoT networking and water sensors.Intelligent water management to take over for a sustainable campus environment.This will document water arrangements,   patterns in buildings and labsReduce wastage due to leakages (“drips”)Ensure quality & maintenance of waterMonitor quality of water on tanks and outletsAlert users on potential quality issuesCrowdsource to report maintenance issues 

IoT connects large numbers of sensors through the Internet
Allows sensing and data collection in real-time
Creates a feed-back loop,

IoT stack contains:
Sensors: Physical and Crowd-sourced sensors using Android App
Wireless Network: On the field to connect sensors with IISc LAN
Big Data Platform: Collect, store & analyse large data in real-time
Analytics: Algorithms for smart management decisions  

IoT applications are data intensive. 

Big Data platforms support such applications
Data arrives at high velocity from sensors
Applications obtain large volumes over time
Apache Storm ensures fast data processing
Hadoop/HBase for large data storage & query
Intelligent use of Edge Devices & Clouds
Reduce B/W, Improve privacy.

Source http://smartx.cds.iisc.ac.in/
(Stack refers to the layers (TCP, IP, and sometimes others) through which all data passes at both client and server ends of a data exchange. TCP/IP (Transmission Control Protocol/Internet Protocol) is the basic communication language or protocol of the Internet.)
(Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing )
(Data ingestion is bringing data into your system, so the system can start acting upon it.)

Thursday, September 1, 2016

Smart Campus within a Smart City

“A Smart Campus” could be envisaged as a community of technologically interconnected academics and students within a Smart City. To launch a Smart Campus, one would need to identify specialized technical and non-technical skills available on a real time basis.

How would Smart Campus help?
  1. Higher education researchers, educators, and students are in a vantage position to lead in inventing, innovating, discovering and developing IoT devices, applications, systems, and services.
  2. It (Smart Campus) would lay the foundation for adding thrust to connectivity within the Smart City linking unconnected/non- networked points.
  3. It should give an impetus to innovation – be the intellectual innovation lab of the Smart City.
  4. It could evolve digitalized trading platforms (electronic bourses) so that trading at cheaper prices is feasible.
  5. It could experiment in security intended monitoring and surveillance.
  6. It could help erect/ commission smart buildings (energy efficient, ecologically sustainable, cost affordable).
  7. It could use analytics to predictively mine Big data. The use of predictive analytics in learning would help dynamic behavioural pattern identification and help appreciate how students learn and respond to different types and levels of interventions.  This could be extended to all city residents eventually.  
  8. Could be into operations' research on operational cost reduction and enhanced productivity. Potential cost savings include the areas of smart lighting, smart waste management, smart traffic signalling, smart parking, smart building optimisation.
  9. Technology’s capacity to drive a better experience and outcome for students. The transmission of information flow would be dynamic, with real time assimilation of data flows with contacts between mobile and stationary elements and mobile to mobile elements. Elements.
  10. The new Smart Campuses should fructify private-public partnerships.
Examples
  1. At Virginia Tech, the  VT Alerts  system notifies students, staff, and faculty of a campus emergency situation. Smart campuses could use smartphones and wearables like students'  smartwatches etc. as a connectable communications mechanism.
  2. The University of Washington, a student-developed app— OneBusAway—provides real-time information for metro-area bus systems.
  3. University of Wisconsin:  Students create IoT apps end-to-end systems from devices speaking with other local devices such as in a smart home, communicating over a network to centralized management systems and to applications in the cloud. The UW-Madison IoT lab helps evolve new business models innovations, using IoT-enabled systems. This creates new services and integrate and analyses data from systems to increase  add value to businesses and consumers. The University has a multidisciplinary approach.


References:
1   SmartCampus: A user-centric testbed for Internet of Things experimentation Michele Nati, Alexander Gluhak, Hamidreza Abangar and William Headley Centre for Communication Systems Research University of Surrey
2  Internet of Everything – Powering the Smart Campus & the Smart City Geelong’s Transformation to a Smart City, Report by Brad Davies, dandolo partners
3   The Internet of Things is Here by Florence D Hudson