Projects

Ongoing Project: The details to be updated soon

Team: Mithileysh Sathiyanarayanan, Dr Cagatay Turkay (Principal Investigator) and Prof Jason Dykes

Organisation Collaborators: City, University of London, UK and Red Sift -R&D, UK.

Ongoing Project: The details to be updated soon

Team: Mithileysh Sathiyanarayanan (Principal Investigator), Rajesh Babu Vasu, Krishna Kanth, Bharath Mahesh and Thirupathi.

Organisation Collaborators: Srishtibiz, USA & Bangalore, India

With an ascending advancement of smart technologies, the future of vehicle security systems (VSS) are changing into smart systems for various benefits. With this continuous advancement, the internet has become an integral part of one’s life where the Internet of Things (IoT) is the latest and emerging internet technology that has changed the way one looks at things. Internet of things is developing everyday from small scale machines to large scale machines that can share data and accomplish tasks while individuals are occupied with other activities. The main aim of the paper is to design a smart vehicle security system using IoT, that is to turn a customary vehicle security systems (CVSS) to a smart vehicle security systems (SVSS) for accessing and controlling vehicles remotely using a Smart phone. SVSS is also called as Intelligent Anti-Theft Tracking Systems (iATTS). To be specific, we aim to design a light-weight, low cost, extensible, flexible wireless smart vehicle security system using IoT which employs the integration of Radio Frequency Identification (RFID), Global Positioning System (GPS), Global System for Mobile communication (GSM), wireless communication, cloud networking, and fuzzy algorithm that is used for decision tree. This smart system is created to provide vehicle information such as position, time, and alarm informed to the owner of the vehicle by either using Short Message Service (SMS) or using mobile application. The combination of the above technologies can be used synergistically as a smart vehicle security key to controlling a vehicle (lock or unlock one’s vehicle with the help of SMS/app) from remote locations. The complete system is designed considering all types of vehicles by providing a simple, effective ease of installation, to provide vehicles extreme security and SVSS will be a means for preventing, detecting and counter-measuring robbery of vehicles. We have used some of the concepts from Telematics.

Team: Mithileysh Sathiyanarayanan (Principal Investigator), Rajesh Babu Vasu, Krishna Kanth, Santosh Mahendra and Bharath Mahesh.

Organisation Collaborators: Srishtibiz, USA & Bangalore, India

There is a sudden exponential use of security systems in our day to day life. For example, security in a business space, organisation, or bank locker is important to every individual now. Lately, security cameras are being utilized in order to build safe and secure places in organisations. However, this technology needs a person regularly to detect any problem in the frame taken from the camera. The main aim of this paper is to enhance the traditional security system. The security system based on the IoT platform has the potential of interacting real-time with the device. The system consists of a camera, voice sensor/microphone, motion/activity sensor and an LTE/Wi-Fi module which is interfaced with the heart of the system, processor. This entire economic system using IoT in real-time will allow mobile devices and computers to remotely track the activities occurring at the location where the IoT device is placed and records all the activities, which will be saved on one’s cloud storage account. The IoT based security system helps in added protection of the user/customer property. Security systems are designed to perform certain tasks when a secured zone is breached. In this paper, notification is sent to the concerned person as an alert where the user can take necessary actions. The main advantage of this system is the ability to remotely manage one’s property 24/7. With this IoT based smart locker, one can monitor, get alerts, notify in case of emergency from anywhere in the world using mobile application via cloud connectivity 24/7. To be specific, we aim to design a light-weight, low cost, extensible, flexible wireless smart security system using IoT which employs the integration of various latest technologies. The combination of the various technologies can be used synergistically as a smart security to control a system in a house/organisation (lock or unlock a system with the help of SMS/app) from remote locations. The complete system is designed considering all types of door locks and lockers by providing a simple, effective ease of installation, to provide homes/organisations extreme security and our system will be a means for preventing, detecting and counter-measuring robbery or burglary.

Team: Mithileysh Sathiyanarayanan (Principal Investigator), Rajesh Babu Vasu, Krishna Kanth, Santosh Mahendra and Bharath Mahesh.

Organisation Collaborators: Srishtibiz, USA & Bangalore, India

Cloud-based ERP solution for workforce management for small and medium business. ERP has modules like Talent Acquisition, HR, Finance and accounts Material management, Information and Productivity, Business Applications, FMG. Application is built on a Java/J2EE platform using MVC architecture which uses HTML, CSS, Metronics that is integrated to angularJS as part of the UI, Business logic is part of the java beans, uses routing framework for navigation and authorization logic which in turn uses Jason web token for the authentication, Application runs on a JBoss application server which is hosted on an Amazon cloud. For the data persistence, PostgreSQL is used. The application uses ApacheMQ’s for asynchronous message communication and HTTP for synchronous communication.

Team: Mithileysh Sathiyanarayanan, Rajesh Babu Vasu, Krishna Kanth (Principal Investigator), Bharath Mahesh and Thirupathi.

Organisation Collaborators: Srishtibiz, USA & Bangalore, India

The Secret Intelligence Agency always use undercover agents to solve complex cases and dismantle criminal organisations or individuals. Currently, all the investigations, reports & evidence are exchanged manually which means sharing information, generating/maintaining reports, sending/receiving/maintaining evidence with a particular authority are all carried out manually. The current process is laborious, cumbersome, time-consuming, poor security to the data especially to reports & evidence which are very confidential.

To overcome all the above disadvantages in the existing process, we developed a system called “Cybernetics Confidential”, it is an intranet/internet client based system application ensuring secured communication & transfer of information/reports/evidence. In this system, investigative agents require connectivity to share or get latest reports/information and without permission of the administrator, investigative agents cannot proceed further operations.

Team: Mithileysh Sathiyanarayanan, Rajesh Babu Vasu, Krishna Kanth (Principal Investigator), Bharath Mahesh and Thirupathi.

Organisation Collaborators: Srishtibiz, USA & Bangalore, India

Ongoing Project: The details to be updated soon

Team: Mithileysh Sathiyanarayanan, Prashant SB, Dr Surekha Prashant, Dr Sharanya Rajan and Dr Nataraj PL (Principal Investigator).

Organisation Collaborators: Government of Karnataka and Nayonika Eye Care Charity Trust (NECT), Bangalore, India

The purpose of this project was to create an application that enables monitoring and management of energy consumption and cost– Smart Utility Bill. This can also be called as "Customer Management Energy Consumption (CMEC)". A lot of research went into how customers are billed, how smart meters interact with energy suppliers, what smart meters are, the types of data energy suppliers store in their database, and what information an IHD (In-house display) presents to customers. This research aided in bringing to life the monitoring and management aspect of the application which was the USP for this app. The research also helped in identifying gaps in what information is readily available on the IHD so that the application can fill those gaps. This report discussed the results, methodology literature and objectives used to produce the final output. Finally, the report discussed future improvements to the system.

Team: Mithileysh Sathiyanarayanan, Mahboob Hussain and Dr Cristina Gacek (Principal Investigator)

Organisation Collaborators: City, University of London, UK

The purpose of this project was to successfully implement a social platform for City University student that would allow societies to promote themselves and for the students themselves to have a platform on which they can find information and have discussions with their fellow students.

The application was created to solve the current problem whereby societies and events do not have a central platform on which they can be publicised. The application built by the author attempted to solve the problem by creating an application which allowed societies and events to be promoted in one central location. The following documentation will discuss in greater detail how the author carried out the various stages involved in carrying out a project of this size.

Team: Mithileysh Sathiyanarayanan, Viveak Vadivelkarasan and Dr Dympna O’Sullivan (Principal Investigator)

Organisation Collaborators: City, University of London, UK

The main objective of this project is to develop a fully automatic robot which senses the area around it (detect objects in the path) while the robot is in motion and move accordingly. This application uses camera vision as the main component and Infra-red sensor technology as a sub system to sense objects which are present in front of the robot. The processing of the image is done on a computer using MATLAB and the decision for the robot is taken according to the algorithm devised. An IR ranging device arrangement is also embedded, which senses any objects ahead of it and accordingly the robot change its direction to avoid any collision. Thus we ensure that even in cases of circumstances leading to errors in the output of the image processing algorithm, a decision can be made using the input from the IR sensors.

The obstacle avoidance problem in robotics has been researched extensively and there are many well-established algorithms for this problem. However, most of these algorithms are developed for large robots with expensive, specialised sensors and powerful computing platforms. We developed an algorithm that can be implemented on very small robots with low-cost electronics and small computing platforms. Our vision-based obstacle detection algorithm is fast and works well even with low-resolution images. The control mechanism utilises both visual information and sonar sensor’s measurement without having to fuse the data into a model or common representation. The robot platform was tested in a structured office environment and demonstrated reliable obstacle avoidance behaviour.

Team: Mithileysh Sathiyanarayanan, Nandakishor Jahagirdar, Prof. Anand Hiremath and Sudeesh Balan (Principal Investigator)

Organisation Collaborators: Indian Space Research Organisation (ISRO) and ISRO Satellite Centre (ISAC), Bangalore, India and Visvesvaraya Technological University (VTU), Belgaum, India.

Smart Healthcare System is not only a Personal Health Records (PHR) management system but also a Medical Appointment Booking (MAB) system.

PHR is both a web-based and mobile-based application to maintain and manage lifelong health information of a patient in a private, secure, and confidential environment. A patient information can include a variety of sources such as radiology image, X-ray, CT scanning etc. Once the medical data is uploaded, patients can access the information anytime anywhere in the world. To achieve security of PHR, an Attribute-based Encryption (ABE) is used to encrypt the data before outsourcing it. The authorised users can access PHR for their personal use or professional purposes.

MAB is also both a web-based and mobile-based application to ease the process of booking an appointment with the doctor. Also, people get the details of doctors (their experience and specialization).

Team: Mithileysh Sathiyanarayanan (Principal Investigator) and Anushree

Organisation Collaborators: Visvesvaraya Technological University (VTU), Belgaum, India.

With an exponential advancement of automation technology, the future of manual systems is changing into automatic systems for various benefits. Also, the internet has become an integral part of one’s life where the Internet of Things (IoT) is the latest and emerging internet technology that has changed the way one looks at things. Internet of things is a growing network of everyday object-from industrial machine to consumer goods that can share information and complete tasks while you are busy with other activities. The main aim of the paper is to design a smart home automation system using IoT, that is to turn a customary home to a smart home using IoT. This paper presents the design of smart home automation system that employs the integration of cloud networking, wireless communication, to provide the user with remote control of various lights, fans, and appliances within their home from a smart phone, monitoring the home environment and storing sensor data onto the cloud. The system will automatically control appliances on the basis of sensors’ data. This system is designed to be low cost and expandable allowing a variety of devices to be controlled and provides user-friendly interface and ease of installation.

Team: Mithileysh Sathiyanarayanan (Principal Investigator), Vignesh Govindraj, Nasir, Reena, Keerthi and Pattabhi Raman

Organisation Collaborators: PES University, Bangalore, India and Count on Us, Bangalore, India

Team: Mithileysh Sathiyanarayanan, Dr Gem Stapleton (Principal Investigator), Prof John Howse and Dr James Burton

Organisation Collaborator: University of Brighton, UK

In this project, we improved the visualisation of large datasets for Nokia Location and Commerce (L&C) compliance team to navigate easily and improve the decision-making process that can support security & privacy in networks. The combination of using set diagrams and network diagrams helped in reducing information misuse and decreased the threat of data and identify theft in Nokia L&C. The further impact has been to lower the risk of corporate liability and consumers’ personal loss. The project involved developing a mathematical framework, conceptual designs, visualisations, empirical studies (experiments), human behaviour and statistical analysis. Our diagrams now underpin and provides rigour to Nokia L&C’s privacy engineering processes. Consequently, they can now communicate complex information across diverse teams in an intuitive and accessible manner. Ultimately, the impact is on all customers, clients and users of Nokia’s L&C’s services worldwide. NOKIA experts appreciated the use of the visualisations for effective understanding of information, its leaks, misuse and theft in data stored. Several papers pertaining to the above were published at peer-reviewed conferences.

Team: Mithileysh Sathiyanarayanan, Dr Gem Stapleton, (Principal Investigator), Prof John Howse and Dr James Burton

Organisation Collaborators: University of Brighton, UK and NOKIA Research Center, Finland.

In this project, we proposed and investigated the performance of a multi-channel scheduling algorithm based on the well-known deficit round-robin (DRR) calling it as multi-channel DRR (MCDRR). The original DRR was then extended to the case of multiple channels with tunable transmitters and fixed receivers to provide efficient fair queueing in a hybrid time division multiplexing (TDM)/ wavelength division multiplexing (WDM) optical networks. The availability of channels and tunable transmitters are taken into account in extending the DRR and allows the overlap of `rounds' in scheduling to efficiently utilize channels and tunable transmitters. When the tunable transmitter is available, it triggers the scheduling process. At the start of the First Round, the Round-robin pointer starts from the first flow, if the packet size is lesser than the deficit counter, the packets are served successfully to their dedicated channels with channel available at that instant. The packets which cannot be served due to the packet size greater than the deficit counter and the channel available at that particular instant of time is neglected. Also, if the Flows are empty, then the particular Flows are neglected. The pointer moves sequentially as the tunable transmitter triggers at a particular instant of time and scheduling process starts. The pointer continues from the next flow after the packets are served successfully/unsuccessfully in the previous flow. Once the pointer moves through all the given flows, we define it as “Completion of one Round’’. Simulation results show that the proposed MCDRR can provide nearly perfect fairness with ill-behaved flows for different sets of conditions for interframe times and frame sizes in hybrid TDM/WDM optical networks with tunable transmitters and fixed receivers.

Team: Mithileysh Sathiyanarayanan and Dr Kyeong Soo Kim (Principal Investigator)

Organisation Collaborators: Swansea University, UK and Stanford Networking Research Lab, USA

Our project “Unmanned Ground Vehicle” is built to undertake missions like border patrol, surveillance and in active combat both as a standalone unit (automatic) as well as in coordination with human soldiers (manual). It is a prototype illustrating the ever-expanding need for sophisticated technology and precision-driven vehicles catering to the present day needs for the first line of defence. A person from a remote place can comfortably control the motion of the robot wirelessly and in situations where manual control is not prudent, the vehicle is capable of reaching the pre-programmed destination on its own. This defence system of ours has two units- one is the control unit (to control mobility) and the other is the motion tracking unit. Both these units have two modes- Automatic and Manual. This robot would be armed with an automatic weapon mounted onto a turret and a remote operator would be getting a live video feed from the camera to help him manually control both the above-mentioned units of the rover. The rover is also capable of automatically tracking movement of objects in its range of vision.

The manual modes of the rover are controlled by a human operator and live video is fed back to the base station. The turret will follow the movement of a joystick or a mouse. There is an additional ARMCON controller which helps the soldier on war field to control the rover using a wireless modem. The UGV will be controlled by hand gestures which are tracked by the IMU (Inertial Measurement Unit). In the automatic mode, the turret uses Image Processing techniques to track motion. The vehicle has GPS navigation and commands to navigate can be given wirelessly. Additionally, infrared sensors aid in obstacle detection and path mapping. There is one onboard computer, which receives a command from command centre control and issues command to the onboard microcontroller for controlling the stepper motors, servo motors, wireless data reception, GPS navigation, and obstacle detection. The command centre control computer allows the remote user to see the direct video stream and control the various features of the rover, using a GUI.

Team: Mithileysh Sathiyanarayanan, Syed Azzarudin, Gibran Khan, Santhosh Kumar and KV Balachandra (Principal Investigator)

Organisation Collaborators: Rajiv Gandhi Institute of Technology, Bangalore, India and Alpha Technologies, Bangalore, India.