Showing posts with label Smart City. Show all posts
Showing posts with label Smart City. Show all posts
Tuesday, September 6, 2016
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?
- 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.
- It (Smart Campus) would lay the foundation for adding thrust to connectivity within the Smart City linking unconnected/non- networked points.
- It should give an impetus to innovation – be the intellectual innovation lab of the Smart City.
- It could evolve digitalized trading platforms (electronic bourses) so that trading at cheaper prices is feasible.
- It could experiment in security intended monitoring and surveillance.
- It could help erect/ commission smart buildings (energy efficient, ecologically sustainable, cost affordable).
- 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.
- 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.
- 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.
- The new Smart Campuses should fructify private-public partnerships.
Examples
- 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.
- The University of Washington, a student-developed app— OneBusAway—provides real-time information for metro-area bus systems.
- 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
Friday, July 17, 2015
"A Smart Educational Centre" within Smart Cities- Internet of Education
The Big Trends in Technology Affecting Education: a few points:
Mobile And Digital Technology
o New Learning Curve- Any time Any where Education-Mobility
of Education using technology
o Mobile
devices, such as smart-phones and tablets, become instruments of educational
inputs
o People
do not just surf, search or connect from their home computers but use a variety of instruments to access knowledge-
Digital Security and Privacy
o Security
and Privacy issues
o Authentication
and biometrics .
o Access
Controls both at aggregate and
disaggregated levels.
o Multi
factor authentication
o Educational Institutions (EIs) to implement strong authentication and data
encryption
o To
protect the education institutional data in the cloud
Cloud Computing-
o Economies
of scale- cost savings
o Delivery
model- interconnected and on tap
o On
demand access to shared pool of computing resources-
o Flexibility
in utilizing computing resources.
Big Data
o Data
generated within EIs.
o Data
generated by inter connected stakeholder institutions
o Data
generated by on-line social networking and sensor networks
o Data
collected by governments and educational institutions
o Tapping
a universe of digital information that is growing at over 50% each year.
o EIs
can use big data techniques to derive insights on student behaviour and faculty deployment patterns.
o New complementary learning machines:
o Computers
that can think.
o Machines
that can converse (m2m)
o Traditional
computing machines and algorithms are programmed to carry out specific tasks when
responding to educational ; now software will write to make machines talk and
rearrange
o It
is the age of cognitive machines which are designed to learn from the data that
they possess,
o Machines
programme themselves to perform new tasks.
o Machines
continuously adapt to new data as well as feedback and inputs gathered from
their experiences, including interactions with humans.
Building New
Skills and Competencies in Technology.
o Technology
will dis-intermediate in good measure
o Make
affordable the educational sector,
o It
will create new type faculties who are powered by technology
o Educational
professionals will need new capabilities.
o Skills
and expertise based on technological
pedagogy.
o Building
capabilities and opportunities in Educational Technology
o Emphasis
on futuristic skills.
- An innovative culture - awareness of adaptive innovation- innovation is not always about being high-tech but being more high touch.
- Re- designing better work processes and creating new education models
- Enabler technology both efficient and effective.
Development Initiatives for a Smart Educational Centre
o Building
of industry-wide technology infrastructure that is required for the delivery of
new, integrated educational services
o A
multi-agency effort to guide the development of efficient digital study systems
o Need
to evolve a conducive regulatory environment,
o Chart
strategies for a Smart Educational Centre
o Educational Sector Technology & Innovation
scheme to provide educational support
o A
technology-enabled regulatory reporting system
o Smart
surveillance for data trends
o Supporting
an education-tech ecosystem
o Building
skills and competencies in techno-pedagogy.
o Establishing
Innovation centres: EIs to set up their R&D and innovation labs
within smart cities; generate ideas and innovations that EIs could adapt and
adopt
o Provide
a platform for collaborations with the education sector to produce innovative solutions for educational
problems and needs.
o Macro
-level projects: to catalyse the development by EIs of innovative solutions
that have the potential.
o A
centralized record-keeping system
o A
shared infrastructure for a know-your-student utility;
o A catastrophe data inventory storage and analytics centre..
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