The Mediterranean: a history to be shared
Moving wheelchairs with your thoughts
Brain to computer interface (BCI) devices can read a person’s thoughts and turn them into commands to move objects. They can give freedom to people suffering from movement impairments. Rosanne Zerafa (supervised by Tracey Camilleri) developed a system that detects a person’s brain patterns while they are thinking of moving a particular part of their body and translates them into commands to move a cursor. The research has the potential to remove considerable lag between thinking of moving an object and it actually moving.
Brain activity can be detected using an electroencephalogram (EEG), which is made up of a cap with electrodes that touch a person’s scalp. The electrical activity captured by the electrodes is then interpreted by a software program to give commands to move a robotic arm, wheelchair, or other assistive device.
Zerafa tested the system on four individuals who were thinking about moving their left or right hand. Different brain patterns from these two tasks could be identified and translated into left or right movement of a cursor on a computer screen.
Taken together, the software could be further developed and tested to improve it for real-world needs such as assisting people with movement difficulties and even gaming.
This research was performed as part of a Bachelor of Engineering (Honours) at the Faculty of Engineering.
Gymnastic Polymers
by Alexander Hili
Literature, Philosophy, and Games
Daniel Vella shares his passion for game research
Robot Maps, Robot Moves, Robot Avoids
Robotics is a cornerstone for this century’s innovations. From robot nurses to your own personal assistant, most robots need to know: ‘where is it?’ ‘Where should it go?’ And ‘how to get there?’ Without answers to these questions a robot cannot do much.Continue reading
Well-being for all through E-health
E-health uses electronic processes and communications to enhance healthcare. The aim is to improve patient care, reduce costs, and empower patients to work towards maintaining their own well-being.
To work e-health needs a lot of data about patients. This health data is also crucial to discovering new drugs and improving patient care. Using specialised devices and telemedicine, a wide range of conditions can be monitored at home. Smartphones can process the information and transmit it to healthcare professionals and/or patients. Using e-health, conditions can be monitored continuously providing real-time monitoring of the condition and its treatment.
For the full potential of e-health to be realised electronic health records need to be linked to other information, like images and text. This combined knowledge then needs to be distributed through a cloud service, so that a patient or doctor can see it immediately. Genetic profile and socio-economic factors can also be included to provide improved diagnoses and health predictions. In addition, approaches such as data mining offer exciting research opportunities. Data mining can help identify more effective treatments, improve drug safety, reduce risk, and better public health systems. E-health can improve how diseases develop and disabilities are spread throughout different populations.
Assistive technology can be provided through an intelligent healthcare device. These devices include a dispenser that might text you to remind you to take your pills — especially useful for patients with memory problems. If the patient does not take their medication after multiple reminders, the system could automatically alert a family member or carer. This could prove a lifesaver for patients with depression or dementia. Through relatively simple technology, patients can take care of themselves at home, reducing the burden on hospitals.
At the University of Ulster we have been researching e-health solutions for decades. It ranges from cloud computer systems for ‘big’ healthcare data to home-sensor based reminder systems for Alzheimer’s patients. We have also worked with designers to embed sensors into clothing designed to help older people become more active outdoors. Our focus has been to developed new algorithms (computer programmes that do a specific task) to analyse data collected by a system of devices. What we learn from these algorithms can be used to adapt the environment to take better care of the patient. Such feedback is essential to make the technology seamlessly integrate with a patient’s needs and preferences. Feedback could either be through an audio prompt or transmit an alert to a carer indicating that assistance is required. The research opportunities are endless.
In Malta, the University of Malta is well placed to leverage research opportunities for local solutions. Key components are already in place in several faculties, where the focus on Communications and Intelligent Computer Systems is particularly relevant to Malta, with a number of ongoing e-health research projects.
E-health provides business opportunities for the private sector. It can take academic research and use it to develop new technologies, deploy it, or manage it. For example in Northern Ireland there has been a huge interest in developing these business opportunities by creating awareness among investors. This investment can bring improved health and well-being, while supporting economic development. Such developments could be relevant to Malta which is similar to Northern Ireland in having a geographically peripheral location within Europe, an integrated healthcare system, and a technically skilled workforce. Due to its objective of establishing a regional hub for a knowledge-based and ICT-enabled economy, SmartCity Malta could be well placed to bring together the research expertise of the University of Malta and businesses. Together they could advance Malta’s healthcare for everyone.
Prof. Sally McClean is a Professor of Mathematics at the University of Ulster (Belfast, Northern Ireland), and participated in the 2013, Workshop in Information and Communication Technology (WICT) organised by the Faculty of ICT at the University of Malta.
How do you cook the perfect steak?
Fillet is the best cut. Trust me. It’s worth the money.
Use molecular gastronomy to take advantage of decades of researching how meat changes with heat. Science indicates that the best cooking temperature is around 55˚C, and definitely not above 60˚C. At a high temperature, myofibrillar (hold 80% of water) and collagen (hold beef together) proteins shrink. Shrinking leads to water loss. In the water lies the flavour.
To cook the fillet use a technique called sous vide. It involves vacuum wrapping the beef and keeping it at 55˚C in a water bath for 24–72 hours. This breaks down the proteins without over heating. The beef becomes tender but retains flavour and juiciness.
Take the beef out. It will look unpalatable. Quickly fry it on high heat on both sides to brown it. The high heat triggers the reduction of proteins or the Maillard reaction. Enjoy with a glass of your favourite red.
The School of Games
In ancient times games played an integral role in society. Whilst in today’s hyperlinked world, games have evolved into complex, sophisticated mechanisms that enthral millions. Now, however, games are dismissed as trivial, and of no real value. But is this really the case? Cassi Camilleri meets the research team gamED from the University of Malta to find out.
Wear Resistant Aluminium
Aluminium alloys have a low density and are easy to make. These qualities make them popular in the transport industry which can range from cars to planes. A low density makes them perfect to reduce weight in large metal structures. Unfortunately due to poor wear resistance, aluminium alloys can deteriorate quickly which severely limits their applications.
Dr Clayton D’Amato (supervised by Dr John C. Betts and Dr Joseph Buhagiar) modified the surface of an aluminium alloy (called A356) to overcome such limitations by improving wear resistance. D’Amato used a high power industrial CO2 laser to rapidly melt specific regions of the alloy’s surface. He simultaneously introduced additional alloying elements in the melt pool, which mix with the base metal to form new compounds that reinforce the soft aluminium surface. In this way, he formed a strong composite modified surface. Additional experimentation allowed D’Amato to reduce the loss of material due to wear by about 20 times. He optimised the conditions needed to laser process the surface of the aluminium in a uniform and repeatable manner. Adding nickel increased surface hardness 7-fold due to formation of aluminium-nickel compounds. Additional strength was achieved by adding hard ceramics to this aluminium-nickel structure. D’Amato created fine titanium carbide (TiC) particles in a matrix structure (pictured) by alloying a mixture of nickel, titanium and carbon (Ni-Ti-C). Aluminium treated in this way was much stronger.
The exact hardness was related to the mix of alloying elements in the modified surfaces. Hardness improved wear resistance, with large improvements in both surfaces alloyed with nickel and Ni-Ti-C. They lost 20 times less material than normal aluminium preventing severe damage.
Using a high powered laser allows improved wear resistance just where needed. This saves costs and increases versatility. The above technique could be used to manufacture aircraft pump parts, fittings and control parts, and in automotive water-cooled cylinder blocks.
This research was performed as part of a Ph.D. in Engineering within the Faculty of Engineering at the University of Malta. It was partially funded by the Strategic Educational Pathways Scholarship (Malta). This Scholarship is part-financed by the European Union — European Social Fund (ESF) under Operational Programme II — Cohesion Policy 2007–2013, “Empowering People for More Jobs and a Better Quality Of Life”. The laser processing equipment used in this project was financed by the 4th Italian protocol whilst the characterisation equipment was financed by the European Regional Fund (ERDF) through the project “Developing an Interdisciplinary Material Testing and Rapid Prototyping R&D Facility (Ref. no. 012)”.
Making 3D multi-view TV a reality
Research in 3DTV has been active for the past decades. Its popularity is growing rapidly driven by market forces and new technologies that are bringing down costs enabling a more widespread distribution. Normal 3D video uses only one camera to generate two video streams for each eye. Multi-view video allows the viewer to choose which angle they want to watch (pictured).
Multi-view video needs to process huge amounts of data since it needs to transmit many different camera angles of the same scene. If the 3D videos are being streamed in real time, the processing power needs grow even further. To reduce computer processing the multi-view plus depth concept was introduced. Using this idea not all the alternative videos are used. Instead a few are selected and the angles in between are filled using sophisticated computer algorithms. The challenge with this approach is to generate high quality videos at different angles whilst keeping the amount of data transmitted as low as possible.
To attempt to overcome these problems, Maverick Hili (supervised by Dr Ing. Reuben Farrugia) analysed the current state-of-the-art video coding standard called H.264. The idea is to compress the amount of data which is transmitted without losing video quality. To achieve a better compression, the depth information in a video was represented with a few parameters. The receiver then has to use these parameters to reconstruct the original depth information. Hili managed to improve compression using this technique, an important step to be able to stream live 3D video into our homes.
This research was performed as part of Masters in Telecommunications within the Faculty of ICT at the University of Malta. It was partially funded by the Strategic Educational Pathways Scholarship (Malta). This Scholarship is part-financed by the European Union — European Social Fund (ESF) under Operational Programme II — Cohesion Policy 2007–2013, “Empowering People for More Jobs and a Better Quality Of Life”.