SoCT Newsletter

School of

Computing & Technology

Volume 1 • June 2017

Internet of Ransomware: Big Data
Things Catching Things you need Analytics in
the Next Big to know Flood Disaster
Wave Management
page 12
0 SoCT Newsletter • Volpumaeg1e• J1un0e 2017 SoCT Newsletter • Volume 1 • June 2p01a7ge 01 5

cTaoblne otfents

Dean’s Message 3 Editorial Board
5
SoCT Research Centres and 11 Editorial Team
Activities 11
12 Assoc. Prof. Dr. Geetha
Spotlight on APCA Supriya Singh
15 Dr. Imran Medi
Spotlight on CREDIT
Contributors
Spotlight on Fsec
Mohamad Firdaus
Big Data Analytics in Dr. Maryam
Prevention, Preparedness,
Response and Recovery in Manoj Jayabalan
Flood Disaster Vinothini Kasinathan
Management in Malaysia
Amad Arshad
Salasiah Sulaiman
Rizawati Rohizan
Dr. Tan Chye Cheah

Layout & Design

Mohamad Firdaus

1 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 1

2 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 2

Dean’s

message

This newsletter provides the continuing FCET students and staff members will continue
introduction of new technologies and adds to to contribute and work closely together in
the quality of technology based education. furnishing content. Excellent technology or ICT
based papers will be published as write ups in
Technology has transformed everyday life in the newsletter. It will also be an avenue to
much of the world. Goods that were once the celebrate student or staff’s achievements may it
preserve of the rich are now household items. be competitions, recognitions or awards.
Food is abundant and varied. Travel has been
transformed. News and entertainment come to Lastly I would like to thank the Editor and
us instantly from around the world. Technology editorial team in producing the first SoCT
is the application of scientific and other Newsletter.
organized knowledge to practical tasks by
organizations consisting of people and Prof. Dr. Ir. Vinesh Thiruchelvam
machines. Dean,
Faculty of Computing, Engineering & Technology,
The newsletter will allow APU students to be Asia Pacific University of Technology & Innovation
exposed to new insights of computing, software
development, ICT infrastructure and the new
generation of ICT applications.

3 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 3

4 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 4

SoCT

Research Centres & Activities

The School of Computing and Technology is engaged in far more than the delivery of

modules and assessment of students. As is expected of any notable institution of higher learning,
the University is actively engaged in both the creation of new knowledge and its dissemination to
subsequent generations of students. Whilst we take the latter very seriously, and this is most likely
what your academic experience has thus far primarily encompassed, your University, and SoCT in
particular are actively engaged in the development of new knowledge to address the needs of the
broader world around us. As you may be wondering what the academic faculty get up to when not
teaching, (re)introducing students (and maybe some staff as well) to the activities of these centres
was the first thing we pencilled in when planning our first issue. We hope that by having a deeper
understanding of these research centres you will be able to better align your FYPs and research to
the key loci of industry. Oh, and hopefully be inspired to engage with one of the research centres
too!

In order to keep you abreast of the research taking place within your school, we will be bringing you
a series of articles from each respective research centre in this and the forthcoming newsletters.
But first some introductions are in order:

At present, there are three research centres actively engaged in research in varying, yet pertinent
areas relevant to industry and broader society: These centres are

 Asia Pacific Centre of Analytics (APCA)
 The Centre for Research and Development of IoT (CREDIT)
 Centre for Forensics and Cyber Security (Fsec)

Asia Pacific Centre of Analytics

At the Asia Pacific Centre of Analytics (APCA) we work to one simple
brief; to identify and develop solutions to problems that industry
currently faces or is likely to face. The focus of your efforts is upon
data, as data is changing our world. The field of data analytics is progressing at a rate beyond
anything we have ever experienced. The field also presents enormous challenges, thanks to the
increase in the volume, velocity, and variety of information ripe for mining and analysis. If we can
tap into this wealth of information and make decisions based on it, we will transform the way our
world works. Data analytics is a global trend and a serious investment by every organization – large
or small. It has the potential to improve our approach to everything from transportation scheduling
to medical diagnostics.

At APCA this is what we do. We are a joint group of researchers from various schools of study who –

5 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 5

have introduced data analytics in our respective faculties. We combine a depth of expertise in
statistical modelling, data management, knowledge discovery, machine learning and much more to
shape graduates in this field. We are in a unique position at the interface of academia and industry.
The center is engaged in efforts to equip academicians and students with solutions reflective of this
new data intensive era, for use in both research and academic studies. The research center is
oriented towards the creation of expertise in data analytics and its introduction and integration into
industry.

The Centre for Research and Development of IoT

The Center for REsearch and Development of IoT (CREDIT) was
established on November 15, 2016 at APU. This first of its kind IoT
Center of Excellence in Malaysia will assist APU to create a
multidisciplinary learning and research environment in the field of IoT
and related disciplines, including Advanced Analytics, Cloud Computing,
Mobile Development and Embedded Systems.CREDIT aims to provide
students and academic staff the opportunities to access IoT-related knowledge and know-how
through various activities. It also acts as a hub to support commercialising potential solutions
resulting from R&D projects. Additionally it allows students to be engaged in a current key
requirement sector which will increase employability rates. As a result, it has a lot of potential in
terms of developing skills set and collaboration which in turn could benefit the university.

Centre for Forensics and Cyber Security

The importance of research conducted by the Centre for Forensic Cyber Security (Fsec) has been
forced home by the fallout from recent the WannaCry global ransom attack. In the data-centric
world, where information technology and associated communications’ networks and services
pervade every aspect of our daily lives, the protection of digital assets and activities in cyberspace
are of critical importance. On this basis, the Centre’s principle purpose is to develop skills set
pertaining to the forensics and cyber security in order to meet the demands of the future in new
trends, governance, regulation, partnerships, skills, and tools

There is an urgent need for creative thought leading to the next generation of forensics and cyber
security capability. Current approaches are simply not able to meet the demands of a global society
growing in cyberspace on the current trajectory of security breached events. Success will
necessarily require an ability to anticipate, deter, detect, resist and tolerate attacks, understand and
predict cyber risks, and respond and recover effectively at all levels, whether individual, enterprise,
national or across international markets

6 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 6

Spotlight At APCA we like to aim big. To support out aim of developing skills
set pertaining to the Data Scientist profession and to establish APU
on as a centre for industrial based analytical research with have a clear
mission:

 To introduce topics of Big Data Analytics into Undergraduate
Projects and Postgraduate Dissertations.

 To build industrial linkage:
 For Industrial project titles and business proposals
 To undertake research studies from various sectors of
industries

 To develop graduates in field data analytics

 We work towards this mission through the incorporation of talent
from across four of the University’s schools, namely:

 School of Engineering
 School of Computing & Technology
 School of Finance and Quantitative Studies
 School of Business.

 We leverage the expertise and skill within these schools to
achieve the following:

 Engage in Research & Development Projects
 Engage in Academic Program Development & Teaching
 Supervise and Mentor Data Analytics Students Projects
 Engage in Corporate Training & Certification Courses
 Apply Analytical Modelling in specialized domain
 Consultancy
 Leverage Analytics Knowledge within the organization &

community engagement

What having we been up to recently we hear you say. Well we’re
glad you asked, as here is a brief overview of some of our recent
activities.

7 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 7

Spotlight on APCA

Research Grant 1 The system itself will encompass an holistic ICT
solution which integrates key players in handling
a flood hazard utilizing mobile technology, Cloud
services (Infrastructure as a Service), Big Data
analytics and Expert system in order to establish
the most effective application for risk reduction
in relation to flood disaster management in
Malaysia.

Title: The solution provides an integrated
Flood And Flood Disaster: Integrated Mobile communication channel between Victims
Solution for Alert, Search & Rescue (A-SaR) (public), Government Agencies (Police, Military
(Air & Land), Health, Welfare, Civil Defense,
Grant: SPAD, etc.) & NGOs (MERCY, SPCA, Bulan Sabit
Prototype Research Grant Scheme – Ministry of Merah, IM4U, etc.). Information transmitted via
Higher Education (MOHE), Malaysia the system is verified, analysed and intelligently
distributed to the targeted functional role.
Timeline: Logistics and procurement would be effectively
01-04-2015 - 01-03-2016 managed and distributed to the desired location
before the situation worsens. The successful
Status: completion of the project provides the country
Complete with an effect set of SOPs and a solution
through which to mitigate the socio-economic
Synopsis effects that flooding has traditionally had upon
Malaysia.
The A-SaR system is a prototype system
underpinned by best practice. The Data Analytical Features:
corresponding Standard Operating Procedures
(SOP) has been developed on the basis of a Online Analytical Processing reports (OLAP) such
thorough analysis of existing flood response as:
procedures around the world. The solution
proposed thus is an amalgamation of best  Analyze and categorize :
practices appropriate to the Malaysian context,  Rainfall (No rain, Light rain, Moderate
rendering the solution directly incomparable to rain, Heavy rain, Very Heavy rain,
any one existing system currently in operation. Extreme rain)
 Dam data ( Dry, Critical Low, Average,
The solution has been designed with dynamism Critical High, Overflow)
in mind, allowing users to dynamically adjust
the granularity of its application from a specific continue –
area (as with the proposed prototype) to other
regions across Malaysia. The authors believe SoCT Newsletter • Volume 1 • June 2017 8
that the solution can potentially evolve to serve
as a benchmark for flood SaR worldwide.

8 SoCT Newsletter • Volume 1 • June 2017

Spotlight on APCA

 Analyze data associated with rainfall and
dam water levels, population demands
(water needs) with supply (volume of
water from dam).

 Model and Predict :

 The rainfall category, dam water level
category, nearest dam to release water if
a particular dam is identified as likely to
“Overflow” and the nearest dam from
which to obtain water a dam falls within
the “Critically Low” category.

 Map Flooding Zone : Forecast the
township

 Calculate - total population affected by
the possible flood, area zones, accessible
routes, calculation of nearest shelter
center(s) and navigation via mobile
technology.

9 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 9

Big Data Analytics

in Flood Disaster Management in Malaysia

Image source: http://www.malaysia1news.my

Current risk management, flood mitigation and technology, Cloud services (Infrastructure as a
early warning systems have not been Service), Big Data analytics and Expert system in
comprehensive in tackling major disasters such order to establish the most effective application
as the Flood on 15 December 2014 – 3rd for risk reduction in relation to flood disaster
January 2015, which killed 21 people, more than management in Malaysia. The solution provides
200 000 people impacted economically with lost an integrated communication channel between
accounting over 500 million. The data obtained Victims (public), Government Agencies (Police,
for analysis is focused to the main affected Military (Air & Land), Health, Welfare, Civil
areas such as region surrounding Sungai Defense, SPAD, etc.) & NGOs (MERCY, SPCA,
Kelantan, Sungai Pahang, Sungai Perak, Sungai Bulan Sabit Merah, IM4U, etc.). Information
Johor and the water catchment area. The related transmitted via the system is verified, analyzed
government agencies are required to release and intelligently distributed to the targeted
data to support the accuracy of the analysis. functional role. Logistics and procurement would
Solution integrates real-time and past data via be effectively managed and distributed to the
cloud storage: Rainfall Data, River & Dam water desired location before situation worsens.
level Data, Population Census, Land & Flood Malaysia would not suffer on economical and
Plane Spatial Data, Access Route & human lost in future and have an effective SOP in
Transportation. Other relevant data would be time of disaster.
added based on needs of validation and impact
factors. This application encompasses a holistic The research aim is to enhance preparedness and
ICT solution which integrates key players in response by improving coordination and
handling a flood hazard utilizing Mobile enhancing the capability of those organizations –
1_0___So_C_T Newsletter • Volume 1 • June 2017
SoCT Newsletter • Volume 1 • June 2017 10

Big Data Analytics in Flood Disaster Management in Malaysia

involved in flood rescue via early detection and would be the first phase of trigger in this
integrated communication using ICT. The project solution. Besides analyzing data such as rainfall,
will provide an organizational capability and River & Dam water level Data, the regional
structure to enable the delivery of a coordinated population census data has to be updated on
national response to flooding incidents, such timely manner. Population data needs to be
that organizations can work together to classified according to their zone of habitant or
minimize the loss of life and injury and to their address. Mobile contact no would be one
reduce the physical and financial effects of of the important attribute selections. The Land
consequential loss and collateral damage. & Flood Plain data will support the system in
identifying the possible zone of flooding, water
The desired outcome from the Project is that flow direction and water channeling routed. By
organizations involved in Flood Rescue will have gathering these spatial data, system would be
additional capabilities and capacity to respond able to mark zonal impact and further be
to major flooding incidents so that they will be prepared for mitigation plans according to the
able to: hazard level. One of the most important data
feed is the Access Route & Transportation
 Deal with the consequences of major allocation data. Information such as access
flooding, by having the appropriate roads, public transportations, diversion route
operational capability ready. and reachability to the population can be
identified. This data integration would map the
 Maintain the capability over the long term so population and logistics, indirectly support plans
that it is available whenever required. for evacuation.

 Deploy resources swiftly once a flooding b. Data Preprocessing: Selection, Cleaning, and
incident occurs. Transformation & Integration

 Command, control and communicate at This phase is highly important as any missing
major flooding incidents, from assessment data or noisy data could lead to inaccurate
and initial response, through to the prediction. Domain experts and department
management of recovery and authorities are required to share their
reestablishment of preparedness knowledge in data selection and ensure that
accuracy values are set at the optimum
 Introduce national mutual aid and standards standards. All data from various sources will be
such that the organizations can communicate integrated under one schema. A centralized data
and coordinate information via single warehouse will be created and data will be
channel. ready for analytics. The data comes from various
sources (cloud data, batch processed, real time,
Methodology etc.).

a. Data Acquisition: Water Overflow Detection &
Impact Data Collection

The integrated system to detect water
catchments volume and forecast overflow
______

11 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 11

Big Data Analytics in Flood Disaster Management in Malaysia

Caption: lorem ipsum lal sjdhjsj

c. Infrastructure & Data Ware House Distribution, Volunteer / Assistance
Requirement & Placement.
Supporting various types of data (structured,
unstructured, spatial, etc.) could be overloading e. Modeling Data Visualization Tool (for Mobile
during data request. Data analytics and mobile & Web Portal)
communication needs fast and prompt query
processing over secured channel. To support a The tool is available via open source channels
good architecture at an affordable cost, cloud and paid enterprise tools. The best modeling
computing is adapted. Infrastructure as a tool would be essential to demonstrate data, let
Service (IaaS) is a form of cloud computing that it be hypothetical or precise data. The modeling
provides visualized computing resources over tools should be able to synchronize with mobile
the Internet. IaaS is one of three main alert, customized to the type of data sent and
categories of cloud computing services, the hazard level.
alongside Software as a Service (SaaS) and
Platform as a Service (PaaS). Infrastructure as a f. Disaster Simulation Test Testing
Service gives us an advantage of managing our
Applications, Run times, Security & Integration A real-time scenario could lead to tremendous
as well as the database. cost and unnecessary lose. The best option for
disaster management test is simulating the
d. Data Analysis Engine process. Mobile alert & Communication can be
tested by pumping into test data and evaluation
The engine development is the functional area of the reach. Test data could be past data or
of the integrated solution. Online Analytical real-time data which is used and directed
Processing (OLAP) is a technique to visualize following a standard operating procedure. With
consolidated data and drill down into the the simulated data, a rescue exercise can be
specific details or roll up to view the generalized planned.
summation. Prediction / Forecasting are a
technique under supervised learning which has Suggested Solution
predefined class labels. This technique can be
well embedded to manage Water Overflow, The solution is incomparable to any existing
River Overflow and Speed, Evacuation Plan & solutions as it is customized to manage Flood
Navigation, Resource Procurement & disaster in Malaysia, focusing on specific region.
1_2___So_C_T_N_ew_s_le_tter • Volume 1 • June 2017 Nevertheless, the solution is developed
________

SoCT Newsletter • Volume 1 • June 2017 12

Big Data Analytics in Flood Disaster Management in Malaysia

Caption: lorem ipsum lal sjdhjsj

dynamically to manage all key users, locations, budget allocation by government. (3) Mobile /
and basic functional areas in all flood disaster handheld devices will be an added value for this
management. Thus, it is capable of expansion of solution as it can alert each key user, creating
use in other regions in Malaysia or can evolve as awareness even though they are not online with
a benchmark for any flood SAR worldwide (refer the system. This rule out all parties blaming
Figure 1). each other for not being effective in handling a
disaster.
a. Government Agency Unit Core Functionality
(1) Monitoring & Water Channeling: A b. Voluntary / Other Unit Core Functionalities
precaution solution to warn the water levels in (1) As described my MERCY (9th January 2015)
catchment areas, forecasting possible overflow report, basic assistance during the disaster
(flood alert) and proposing water diversion or focused on Health Care, Water, Sanitation and
channeling to distribute water to dry area within Hygiene, Food and Nonfood items. (2) A
the region. (2) Failing to manage overflow, Flood centralized information center for media
warning can be predicted before occurrence coverage & public awareness. (3) Donation
based on historical data analytics. This request and distribution. Compilation of items
encourages early warning to the affected areas, needed, location and quantity would be
preparation of logistics and immediate aids, and identified and updated in real-time to avoid
wastage & unauthorized campaigns.
13 SoCT Newsletter • Volume 1 • June 2017
SoCT Newsletter • Volume 1 • June 2017 13

Big Data Analytics in Flood Disaster Management in Malaysia

c. Special Features (1) Blending the mobile hopefully can be considered to be one of the
disaster system application with features such major solutions to manage the disaster before,
as customizing information in order to adapt during and after the event.
each victims need or (i.e.: sending a mass
general SMS SARS panic alerts to the population References
without considering the user’s location, wealth
condition / age and other peculiar information [1] CityPopulation (2014) Malaysia, [Online] Available
could just generate more panic). (2) For End from: http://www.citypopulation.de/Malaysia-UA.html
User (a) Flood Disaster Safety Tips (FAQ [Accessed on: 13 Nov 2014].
containing recommended safety tips) (b)
Identify & Navigate nearest reachable [2] Department of Statistics Malaysia (2014) Selangor
Rescue/Evacuation Center (To recommend @ a Glance, [Online], Available from:
navigation based on accessibility conditions) (c) http://www.statistics.gov.my/portal/index.php?option
Flood Disaster Reporter (To propagate any =com_content&view=article&id=533%3Aselangor-a-
potential disaster information to nearest glance&catid=115%3A-glance&Itemid=1&lang=en
Rescue/Evacuation Centre) (d) Emergency SOS [Accessed on: 9 Nov 2014].
(To send an SMS containing GPS Coordinates to
a list of contacts) (e) Tourist Helper (To confirm [3] GenerateData (2014) Generate, [Online], Available
safety of a route) (3) For Government Staff (a) from: http://www.generatedata.com/ [Accessed on:
Track Help Requests (To know location of people 25th Nov 2014].
stranded in their territory) (4) Social Media
enabled (RSS feeds, Facebook, Twitter, etc.) for [4] Hoong, Tan, and Mustafa, (2007) Contamination
immediate awareness to the nation. By doing Levels of Selected Organochlorine and
that the mobile disaster management system Organophosphate Pesticides in The Selangor River,
applications will probably become more Malaysia between 2002 to 2003, Chemosphere,
appealing to the public and as a result increase [Online], 66 (1) p.1153-1159.
people’s trust and contribution on timely
manner. [5] MapCustomizer (2014) MapCustomizer, [Online],
Available from: http://www.mapcustomizer.com/
Conclusion [Accessed on: 31 Oct 2014].

We cannot prevent the flood disaster; however [6] New Straits Times Online (2014) Mud Flood
we make better use of the current web and
mobile technologies and promote future Tragedy Lesson to Residents in Bertam Valley, 6th
advances. As mobile devices become more
common nowadays, the government has the November, [Online], Available from:
chance to provide first responders and citizens
with the tools necessary to save lives during this http://staging.nst.com.my/node/50234 [Accessed on:
threatening event. Hence this prototype
________ 9 Nov 2014].

[7] Ministry of Natural Resources and Environment

(2014a) Drought Monitoring by Dam Levels, [Online],

Available from:

http://infokemarau.water.gov.my/drought_monitor.cf

m [Accessed on: 1 Nov 2014].

[8] Sandaysoft (2013) Rain Rate, [Online], Available
from:
http://wiki.sandaysoft.com/a/Rain_measurement
[Accessed on 31 Oct 2014].

[9] World Health Organization (2014) Water Sanitation

Health, [Online], Available from:

http://www.who.int/water_sanitation_health/emerge

ncies/qa/emergencies_qa5/en/ [Accessed on: 13 Nov

2014].

[10] Ministry of Natural Resources and Environment

(2014b) Dam Station for Drought Monitoring, [Online],

Available from:

http://infokemarau.water.gov.my/drought_front.cfm

[Accessed on: 1 Nov 2014].

14 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 14

Spotlight At CREDIT we have been busy strengthening ties with both industry
and Government agencies, so as to create the most conducive
on environment in which to explore the IoT and tap into its potential.
At present our industrial partners include behemoths such as IBM
and Amazon, whilst our ties with government stem from
agreements with MDEC and MIMOS. Like to know more? Of course
you would!

Infrastructure Partners

IBM will provide relevant IoT resources,
training the trainers and assistance in
building a workforce with high-demand IoT
skills. APU faculty and s_tudents will be able to develop IoT apps,
products and services using the IBM Watson IoT Platform, which
securely connects devices to applications using cloud-based services
and rich analytics. This collaboration includes:

 Assistance in IBM Watson IoT courses being taught at APU by
providing the educators' guide, labs, tutorials and other
supporting resources to assist with the IoT curriculum;

 IBM-led Watson IoT hands-on workshops to students and faculty
as needed to build in-demand IoT skills; and

 Extended Bluemix trial (6 months for APU students and 1 year
renewable for APU academicians) to help students and faculty
become proficient with IBM Watson IoT.

SAP offers a comprehensive portfolio of
solutions for the IoT. SAP’s IoT platform and
applications can help to quickly develop,
deploy, and manage th_e__r_eal-time IoT and machine-to-machine
(M2M) applications. Under this collaboration, SAP would like to
offer the following technologies to be deployed in the IoT
Innovation Lab at APU:

 SAP HANA®, Express Edition, together with Build (a design and
prototyping tool)

 SAP MOOC course (open.sap.com)
 Industry 4.0
 Apple-SAP Partnership

15 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 15

Spotlight on CREDIT

AWS Educate is patentable technology platforms, products and
solutions. This collaboration includes:
Amazon’s global
 To work for the smooth execution of pilot run
initiative to provide the projects developed by MIMOS at APU.
1. Indoor Location Navigation and Tracking
students and educato_rs__w__ith the resources System (Mi-Tuju)
2. Fleet Management System(Mi-Fleet)
needed to accelerate cloud-related learning
 Sharing of MIMOS facility for APU
endeavors. APU has already joined this program undergraduate and masters’ students.

to put the power of cloud learning in the hands  Incorporation of Internet Services of Things
(Mi-Mist) platform in APU curriculum and
of instructors and students. With AWS Educate, review new IoT degree plan with MIMOS.

APU is able to access cloud content, training,  Providing talk/seminar for Masters’ students
for the promotion of technology facilities and
collaboration tools, the job board and AWS research opportunities at MIMOS.

technology at no cost. All APU lecturers are Industry Partners

eligible for a grant of $200 in AWS credits (all Semtech Corporation
is a supplier of analog
amounts are in USD). All students have access and mixed-signal
semiconductor products.__L_o_R_a Technology is
to the AWS Educate Student Portal and free Semtech innovation which offers a mix of long
range, low power consumption and secure data
Online Labs, along with a grant of USD $100 in transmission. Semtech is going to support any
CREDIT research projects and student’s project
AWS credits. based on LoRa technology and building LoRa
network within APU new campus.
Government Partners
REDtone has agreed
MDEC is the agency to collaborate with
APU in a wide range o_f__Io_T aspects which
responsible for includes:
 Showcase Redtone platform to promote and
overseeing MSC Malaysia understand the implementation.
 Setting an IoT platform up for APU new
implementation. APU__ has started the campus.
 Welcoming APU’s students as interns.
collaboration with MDeC on IoT since December  Providing IoT ideas for FYP projects.

2016. MDeC is agreed to provide the necessary SoCT Newsletter • Volume 1 • June 2017 16

supports to the university and CREDIT events

with the help from industry partners (e.g

arrange the case study visit to various IoT

solution providers and provide relevant

speakers to the events). Though the

collaboration, CREDIT was introduced various

potential collaboration opportunities with the

local and foreign companies.

MIMOS is a strategic agency
under the Ministry of Science,
Technology and Innovation
(MOSTI) to raise Malaysia’s
competitivenes_s_b_y__p_ioneering market creation
for Malaysian technopreneurs through
_________

16 SoCT Newsletter • Volume 1 • June 2017

Spotlight on CREDIT

Visit to MIMOS Berhad (29th June 2016)

Recent MIMOS invited CREDIT for a collaboration meeting and visit of
Activities (BITX) Lab. It was a very fruitful and productive discussion. As we
identified there are lots of opportunities where APU and MIMOS
can collaborate with each other.

Hilti IoT Industrial Talk ‘Current trends in IoT’
workshop
by Dr Mazlan Abbas (14th July 2016)
(2nd December
2016) CREDIT organized an industrial talk delivered by Dr Mazlan Abbas,
CEO of REDtone IOT. It is to help the students to discover and gain
an in-depth insight in IoT field.

The students IBM Watson IoT hands- MDeC IoT TTT training
benefited a lot from on workshop (1st Aug
the knowledge (10th – 14th October 2016)
shared by Hilti, and 2016)
this workshop helps Dr. Tan Chye Cheah and Suresh
them firm up on As a part of the collaboration Gobee attended the STM32 IoT
their ideas for the with IBM, IBM Watson IoT Workshop organized by MDEC &
Hilti IoT competition. hands-on workshop was IoT Labs.
organised to introduce the
Watson IoT capabilities. At
the workshop, Ms. Gayathri
Srinivasan from IBM US
provided an insight into IoT
application development from
a practical point of view.

17 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 17

Spotlight At CREDIT we have been busy strengthening ties with both industry
and Government agencies, so as to create the most conducive
on environment in which to explore the IoT and tap into its potential.
At present our industrial partners include behemoths such as IBM
and Amazon, whilst our ties with government stem from
agreements with MDEC and Mimos. Like to know more? Of course
you would!

18 SoCT Newsletter • Volume 1 • June 2017 SoCT Newsletter • Volume 1 • June 2017 18

Big Data Analytics

in Prevention, Preparedness, Response and Recovery
in Flood Disaster Management in Malaysia

Current risk management, flood mitigation and early warning systems have not been comprehensive
in tackling major disasters such as the Flood on 15 December 2014 – 3rd January 2015, which killed
21 people, more than 200 000 people impacted economically with lost accounting over 500 million.
The data obtained for analysis is focused to the main affected areas such as region surrounding Sungai
Kelantan, Sungai Pahang, Sungai Perak, Sungai Johor and the water catchment area.

The related government agencies are required to release

data to support the accuracy of the analysis. Solution

integrates real-time and past data via cloud storage: Rainfall

Data, River & Dam water level Data, Population Census, Land

& Flood Plane Spatial Data, Access Route & Transportation.

Other relevant data would be added based on needs of

validation and impact factors. This application encompasses

a holistic ICT solution which integrates key players in

Caption handling a flood hazard utilizing Mobile technology, Cloud

services (Infrastructure as a Service), Big Data analytics and

Expert system in order to establish the m_o_st effective application for risk reduction in relation to flood

disaster management in Malaysia. The solution provides an integrated communication channel

between Victims (public), Government Agencies (Police, Military (Air & Land), Health, Welfare, Civil

Defense, SPAD, etc.) & NGOs (MERCY, SPCA, Bulan Sabit Merah, IM4U, etc.). Information transmitted

via the system is verified, analyzed and intelligently distributed to the targeted functional role.

Logistics and procurement would be effectively managed and distributed to the desired location

before situation worsens. Malaysia would not suffer on economical and human lost in future and have

an effective SOP in time of disaster.

The research aim is to enhance preparedness and response by improving coordination and enhancing
the capability of those organizations involved in flood rescue via early detection and integrated
communication using ICT. The project will provide an organizational capability and structure to enable
the delivery of a coordinated national response to flooding incidents, such that organizations can
work together to minimize the loss of life and injury and to reduce the physical and financial effects of
consequential loss and collateral damage.

The desired outcome from the Project is that organizations involved in Flood Rescue will have
additional capabilities and capacity to respond to major flooding incidents so that they will be able to:

 Deal with the consequences of major flooding, by having the appropriate operational capability

ready.

 Maintain the capability over the long term so that it is available whenever required.

 Deploy resources swiftly once a flooding incident occurs.
19 CoSomCTmNeawnsldet,terc•oVnotlurmoel 1a•nJudnec2o01m7 municate at major flooding incidentsSo,CTfrNoewmsletatesrs•eVsoslummee 1n•t Juanne d201i7nitia1l9

