Concept Paper

LRGS CONCEPT PAPER
Prepared for:
Department of Higher Education
Ministry of Education Malaysia
A collaborative project proposal on
MalaysiaSafeTM: Unmanned RakanCop Solutions Transforming
Public Safety
Prof. Ir. Dr. Mohd Jailani Mohd Nor
(Program Leader)
1
1.0 MALAYSIASAFETM: UNMANNED RAKANCOP SOLUTIONS TRANSFORMING PUBLIC SAFETY
2.0 EXECUTIVE SUMMARY OF PROPOSAL
In today’s society, there are many forms of risk factors that threaten the safety of public as the lives of people became
more diversified and complex brought on by changes in social environments. Among these risk factors, issues on crimes
and terrorist that are becoming more cunning and violent are garnering wide attention from people. For instance, recent
sharp increase in number of national security threat (Lahad Datu and POM-POM Island terrorist attack), and crimes
(snatch theft, racial tensions and kidnap) committed make them harder to solve, wasting of manpower, equipment and
budget, while causing social unrest. Thus crime control prioritizing ‘Arrest Centered’ control is being shifted to ‘Prevention
Centered’ control. Ongoing operations of search and rescue of MH3701 and MH17 resulted in an increased demand for
intelligence, surveillance, and reconnaissance (ISR) capabilities for law enforcement officers.
Municipalities and law enforcement departments nationwide are searching for new and better ways to crack down on
crime rate, and they often look for a “force multiplier” to help them accomplish that goal. One very effective solution is
deploying Unmanned Aerial Vehicle Wireless Video Surveillance (UAVWVS), an unmanned RakanCop solutions. UAVWVS
is known as one of the most effective tools for crime prevention and this is well reflected from world wide spread of
wireless surveillance in countries such as United States, United Kingdom, France, Germany and Japan. With today’s
advanced wireless video networks powered by UAV capabilities, public safety agencies can maintain round-the clock
visual monitoring of their communities from a centralized control center. When a problem is detected, officers can be
dispatched immediately, helping to minimize response time and maximize safety and effectiveness.
Real-time images and videos from UAV’s wireless video solutions systems are paramount important helping public safety
professionals save lives and reduce crime every day. This solutions are helping communities large and small to improve
crime control, provide better and more efficiency in a number of critical areas such as top tourist attractions, hot spots,
Sabah border terrorist attack and high volume traffic areas. The most crucial part of this project is to identify roles in
which the nation can leverage these assets in the defense of the homeland, public security, disaster relief, search and
rescue, and border patrol are just a few potential roles. Finally, the paramount importance of this project will looks at
potential obstacles, both legal, privacy and policy, to implement a more established solutions way-ahead. We believe
that these technologies will create a new policy, namely “intelligence-led policing” for crimes and terrorist prevention.
The Policy will be formulated based on a National Cyber Security Framework that comprises legislation and regulatory,
technology, public-private cooperation, institutional, and international aspects2. In addition, this project have sets the
targets for the development of the National Key Economic Areas (NKEAs) and Government Transformation Program
aimed at creating a functional democracy by balancing the nation's security needs and reducing 20% of the crime rate
on the street , taking into account the complex national plurality and threats of global terrorism3.
3.0 BACKGROUND AND RATIONALE OF THE CONCEPT PAPER
The Lahad Datu and POM-POM Island terrorist attack4 recently can be classified as the transnational terrorist attack. This
is because of the vast border with open high sea makes security forces difficult to manage the border and led such lapse
had occurred, for instant, eastern coast of Sabah alone has stretch along 1,400 km. These expansive borders and vast
amounts of coastline at Peninsular Malaysia and East Coast of Malaysia present a large challenge to those agencies
responsible for law enforcement officers.
Therefore blaming the current security forces of their lapse is inappropriate. One should engaged by evaluate the existing
methods and procedures so that the security forces are able to incorporate new and innovative methods and modes to
enhance the security level in Sabah. Today, numerous federal and state organizations are charged with different
responsibilities in maintaining the security and defense of the homeland. Many of these organizations operate under
strained budgets and may lack of sufficient funding and personnel to acquire and maintain all of the surveillance
capabilities they are seek on. It is imperative to leverage existing capabilities and know-how in order to improve
effectiveness and reduce redundant capabilities in an effort to save money and life. Specifically, one such capability is
deploying UAVWVS, an Unmanned RakanCop Solutions transforming public safety, also called as MalaysiaSafeTM.
2
UAVs have been referred to variously as drones, robot planes, pilotless aircraft and other terms which describe aircraft
that fly under the control of an operator with no person aboard. They are most often called UAVs, and when combined
with ground control stations and data links, form unmanned aerial systems. UAVs technology has been regarded by
some industry experts as the most dynamic growth sector of the aerospace industry in this decade. A study by the Teal
Group estimated that the world market for UAV research and development and procurement was US $6 billion in 2011.
This figure is expected to double in the next 10 years5.
On the overall process system, the design will be constructed from advanced aerospace composites materials and is
remotely controlled. This UAV can transmit real-time video imagery to the ground station and can be programmed for
autonomous flight using cloud technology. The major breakthrough is anticipated on the development competitive,
lightweight and long endurance surveillance UAVs powered by solar technology. Advanced surveillance analytics system
can apply artificial intelligence in collecting and processing considerable amounts of video data. By combining facial
recognition method, this system can be used to continuously track individuals while in public and also in private. In
addition, privacy embedded into the design of UAVs is a biggest challenge to make sure it will improve a security and
safety for the public.
Finally, fully integrating video technology and solutions into public safety operations will be evaluated and monitored to
improve the effectiveness and efficiency of first responders and other professionals from the command centers to the
incident. We expect, most public safety agencies will have the capability of streaming live video from rapidly moving
patrol cars, back to the command center or other mobile units in real time, even units from other departments. Intelligent
analytics software will be more advanced and further access and integration into interagency and departmental
databases will enable the software to search in crowds for suspects, weapons or other dangerous items. Additionally,
links to private sector video will be more commonplace, greatly enhancing the quality of data and making it easier to act
upon retrieving from the cloud. In short, public safety professionals will soon rely on video or images and view it in the
same manner they do voice communications—it’s mission critical.
4.0 PROGRAM DESCRIPTION
The overall objectives of this program are given below:
i. To identify prospect criminal using forensics psychology model to understand the thoughts and anticipate actions
of criminals through analytical mind;
ii. To design, develop and integrate the distributed sensing and UAV Scheduling that could provide data obtained
from an UAVs platform;
iii. To develop a new cloud computing model, intelligent surveillance analytics system, crimes target detection
and analysis, wireless surveillance infrastructure which require to process vast amount of video and image contents
generated to protect public safety and national security; and
iv. To run efficacy test of the newly developed Unmanned Aerial Vehicle Wireless Video Surveillance Solutions, to
analyze stakeholder involvement and conducting the acceptance technology model on privacy, security and public
safety issues.
Table 1: Projects, Project Leaders and Institution of MalaysiaSafeTM Program
PROJECT
PROJECT LEADER
(INSTITUTION)
MEMBERS
Program Leader
Prof. Ir. Dr. Mohd Jailani Mohd Nor (UTeM)
Project 1: The fundamental fabrics in identifying
prospect criminal using forensics psychology model
AP. Dr. Rozmi Ismail
(UKM)
Prof. Ir. Dr. Mohd Jailani Mohd Nor (UTeM) , Prof. Nor Ghani Md
Nor (UKM), AP Dr. Raja Roslan Raja Abd. Rahman (UTeM),
3
Project 2: Design and Develop a Competitive and
lightweight autonomous UAV control for Persistent
Surveillance
Prof. Ir. Dr. Mohd Jailani
Mohd Nor (UTeM)
Datuk Prof. Dr. Mohd. Ruddin Abd. Ghani, Dr. Asmala Ahmad, Dr
Gan Chin Kim, Dr. Muhammad Zahir Hassan (UTeM), AP Dr. Hazry
Desa (UNIMAP)
Project 3: MalaysiaSafeTM Cloud: A Novel Framework
for Modeling of Emerging Cloud-based Surveillance
Data and Application Security
AP Dr. Goh Ong Sing
(UTeM)
Prof Dr Shahrin Sahib, AP Dr Rabiah Ahmad, (UTeM), Dr
Sollahudin Shamsuddin (Cyber Security Malaysia)
Project 4: Unstructured Pattern Analysis using
Proactive Approach for Crime Target Detection in
Public Area
Dr. Choo Yun Huoy
(UTeM)
Dr Azah Kamilah Muda, Noor Azilah Muda, Nurul Akmar Emran,
(UTeM), Dr. Michael Goh Kah Ong (MMU)
Project 5: Building Effective Intelligent Surveillance
Analytics System (ISAS): A Case Study of Sabah
Border Security
Tuan Hj. Mustapa Abd.
Talip, (UMS)
AP Dr. Abd. Samad Hasan Basari, Dr Sharifah Sakinah Syed
Ahmad, Dr. Zuraida Abal Abas (UTeM)
Figure 1: Projects Integration within Universities and Research Centers
Note: Achievements
Publications:
Published more than 200 refereed journals (Indexed by ISI Thomson and Scopus)
H-Index:
Project Leader / Researcher
Prof. Ir. Dr. Mohd Jailani Mohd Nor (UTeM)
AP. Dr, Rozmi Ismail (UKM)
Prof. Nor Ghani Md Nor (UKM)
Tuan Hj. Mustapa Abd. Talip, (UMS)
AP Dr Rabiah Ahmad (UTeM)
AP Dr. Hazry Desa (UNIMAP)
Dr. Michael Goh Kah Ong (MMU)
Datuk Prof. Dr. Mohd. Ruddin Abd. Ghani (UTeM)
AP Dr. Goh Ong Sing (UTeM)
Prof. Dr. Dr Shahrin Sahib (UTeM)
Dr. Gan Chin Kim (UTeM)
Dr. Asmala Ahmad (UTeM)
Dr. Azah Kamilah Muda
Google H-Index
15
2 (scopus)
2 (scopus)
2 (scopus)
13
11
10
9
8
7
7
6
5
Citation
722
NA
NA
NA
617
454
795
494
200
203
151
86
123
4
Dr. Choo Yun Huoy (UTeM)
AP. Dr Abd. Samad Hasan Basari (UTeM)
Noor Azilah Muda (UTeM)
Dr. Muhammad Zahir Hassan (UTeM)
Dr. Sharifah Sakinah Syed Ahmad (UTeM)
Nurul Akmar Emran (UTeM)
AP. Dr. Raja Roslan Raja Abd. Rahman (UTeM)
Dr Zuraida Abal Abas (UTeM)
5
4
4
3
2
2
1
1
58
34
34
31
14
6
11
3
5.0 RESEARCH METHODOLOGY
The overview methodology of the MalaysiaSafeTM Program (Figure 2) is summarized as below:
Figure 2: Brief Methodology of MalaysiaSafeTM Program
Project 1: The fundamental fabrics in identifying prospect criminal using forensics psychology model

Identify technological innovations including Soft Technologies ( Social information-based technologies) Hard Technologies (material-based
technologies)

Study on how technology is used to support specific crime prevention and law enforcement strategies.

Empirical research on the impact of these technological innovations on crime prevention and technological changes in policing for the public
 New data-driven police strategies, including computerized crime analysis and crime mapping software for early intervention systems
Project 2: Design and Develop a Competitive and lightweight autonomous UAV control for Persistent Surveillance
a)
Develop a low-cost modular UAV platform

Optimizing and integrate functional UAV

Design a multi-modal control to push higher levels of autonomy for UAVs drives
b) Solar Power High Altitude Long Endurance Applications for Unmanned Aerial Vehicle



Establish the energy balances for the UAV
Converter design with novel solar charging strategy
Realization of UAV power system integration
5
c) Distributed Sensing and UAV Scheduling for Surveillance and Tracking



Integration of intelligent and autonomous control procedure to UAV for detection and tracking moving target
Develop a real-time data transfer/link from UAV into cloud
Performance measure and testing
Project 3: MalaysiaSafeTM Cloud: A Novel Framework for Modeling of Emerging Cloud-based Surveillance Data and Application Security
a)
b)
c)
d)
Quantifying the performance of scheduling and allocation policy on a Cloud Computing Infrastructures and management surveillance data and
application security
Provides novel support for modeling and simulation of virtualized Cloud-based surveillance at Control Center environments
Identify data correlativity model in Digital Security Analysis
Perform tests based on surveillance scenarios and configurations, hence allowing the development of best practices in all the critical aspects
related to emerging Cloud Computing
Project 4: Unstructured Pattern Analysis using Proactive Approach for Crime Target Detection in Public Area
a)
b)
c)
d)
Unstructured Data Transformation and Preprocessing
Crowd Dynamics Characterization
Modelling Automated Agent for Suspicious Scene Tracking
Localizing Abnormality for Dangerous Target Identification
.
Project 5: Building Effective Intelligent Surveillance Analytics System (ISAS): A Case Study of Sabah Border Security
a)
b)
c)
Design and develop a robust intelligent surveillance analytics software
Custom built video based analytics algorithms
Perform intelligent industry leading analytics study on Sabah Security case
6.0 EXPECTED OUTPUT/BENEFITS
OUTCOMES
Novel theories/new
findings/knowledge
TWO YEARS TARGET


Unmanned Aerial Vehicle Wireless Video
Surveillance (UAVWVS)
Crowd Dynamics Characterization
FIVE YEARS TARGET
 Intelligence-led policing
 Privacy embedded into the Design
publications
20 - high impact refereed journal
30 - high impact refereed journal
Potential Applications and
Innovations
 Contribute to public acceptance model
towards implementation of the UAVWVS
 MalaysiaSafeTM Cloud for Surveillance Data
Human Resource
 New Crimes and Terrorist prevention approach using
UAVWVS.
 New “Intelligence-led- policing” policy
 New model for Intelligent Surveillance Analytics
System (ISAS)
 New Data Digital Correlativity Model
15 MSc Students
Trademarks/copyrights/IPR
MalaysiaSafeTM , Unmanned RakanCop Solutions
and Application Security
 A low-cost and lightweight autonomous UAV
10 PhD students
©UAVWVS, ©ISAS,
6.0 REFERENCES
1.
2.
3.
4.
5.
Goh Ong Sing (2014), “CrowdRank Algorithm used for Searching Flight MH370”, http://ainibot.com/osgoh/crowdrankalgorithm-used-for-search-flight-mh370/ , Nanyang Press.
Cyber Security Technology Framework, http://nitc.kkmm.gov.my/index.php/national-ict-policies/national-cyber-securitypolicy-ncsp , accessed on 31 July 2014
Government Transformation Programme 2010, http://www.pemandu.gov.my/gtp/upload/GTP_AR2010_Eng.pdf, and GTP
Annual Report 2013,
http://www.pemandu.gov.my/gtp/annualreport2013/upload/file/Pemandu_GTP_AnnualReport_2013_Spread_0804_LOWRE
S_Combine.pdf , accessed on 31 July 2014
R. Paneir Selvam , Border Security Issues in Sabah, http://www.theborneopost.com/2014/01/03/border-security-issues-insabah/ , The Borneo Post, 3 Jan 2014
Gertler, J. (2012). Homeland security: unmanned aerial vehicles and border surveillance. Congressional Research Service.
Online: http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA524297
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APPENDICES
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Appendix 1: Sample of Scoring Methodology
NKRA: Reducing Crime
Source: Government Transformation Program 2010
8
Appendix 2: Increase in Crime Rates
9
Appendix 3: Response from Public Opinion Polls
10
Appendix 4: 20% Reduction in Street Crime
Source: Reducing Crime NKRA - Workstreams and Focus Areas, GTP Annual Report 2013
11
Appendix 5: Reducing Crime Rate
12
Appendix 6: RKU: Rakan Keselamatan Universiti
13
Appendix 7: RKU: Aplikasi Android
14
Appendix 8: Letter of Intent from Ketua Polis Melaka
15
Appendix 9: Letter of Intent from Polis Bantuan UTeM