YEAR 3 INDIVIDUAL PROJECT PROPOSALS 2016/2017 KEY: ECE = Electrical, Electronic and Computer Engineering Projects (Note: projects 01-06 are also listed for ME/AUTO students) If you have your own idea for a project, then you need to find someone willing to supervise it. The best way is to review this listing and look for a supervisor who appears to have expertise and interests that fit your proposal, then arrange to meet with them to discuss it. If they agree to supervise, you enter it on your form as a special project. ECE01 Deployment mechanisms for solar sails in space Will hardware be involved? YES Solar sails offer the ability to propel spacecraft using the radiation pressure from the Sun and deorbit spacecraft by increasing atmospheric drag. The person undertaking this project will be working at the cutting edge of spacecraft engineering to investigate options for low cost, low mass, high reliability, deployment mechanisms for small satellite (e.g. CubeSat) solar sails, then carry out work with the aim of designing, building and testing a prototype mechanism. This is a practical project. Please make an appointment to discuss project with Dr Barnett before selecting. (Contact: Dr Anna Barnett. [email protected]) ECE02 A snake arm robot Will hardware be involved? YES Snake arm robots are used in applications with limited space and many obstacles that may prevent the use of “conventional” robot arms. This project will design and construct from scratch a small snake arm robot. This is a practical project. Please make an appointment to discuss project with Dr Barnett before selecting. (Contact: Dr Anna Barnett. [email protected]) ECE03 Exploration of Finger Pad Designs for Improving the Dexterous Manipulation Capabilities of Robot Hands Will hardware be involved? YES In the context of robot hands, dexterous manipulation can be broadly defined as the purposeful movement of an object within the hand by the relative movement of some fingers respect to the palm. This project focuses on evaluating the effects of novel compliant finger pads on the dexterous manipulation workspace of a two‐fingered adaptive robot hand. The project involves the implementation of the corresponding robot hand and the use of computer vision techniques for determining the motion of the manipulated object. (Contact: Dr Nicolas Rojas. [email protected]) ECE04 Implementation of a Novel Low‐Cost Robot Mechanism for Material‐Handling Applications Will hardware be involved? YES It is widely recognised that industrial automation in highly developed economies must move beyond the traditional manufacturing industries such as automotive and electronics to reach more flexible industrial environments, as those typical of small and medium‐sized enterprises (SME), in order to compete globally and increase the value added by manufacturing. A key element to increase the flexibility of industrial robots as required by SME is the development of low‐cost robotic systems for manufacturing tasks such as assembly, precision positioning, pick-and‐ place manipulation, and sorting. This project focuses on the development and control of a novel robot mechanism whose mechanical simplicity makes the whole system suitable for solving material‐handling problems in flexible production organizations. (Contact: Dr Nicolas Rojas. [email protected]) ECE05 Stretching tester Will hardware be involved? YES Nowadays, electronics is diverging from being bulky and rigid, and is becoming lightweight and flexible. This development will lead to new applications such as smart textiles and skin mount devices. The unique mechanical properties of these new electronic devices make it necessary to optimize the electrical performance, but also to characterize and improve the mechanical performance. In this respect it is necessary to bend and stretch the flexible substrates in a controllable and reliable way. The goal of this project is to use two existing motorized EARLING micrometre stages to build an automated stretching tester. Therefore, the two stages have to be mounted on a common ground plate, and two clamps to fix an arbitrary sample on the stages have to be designed. Furthermore the control electronics (including power supply, stepper motor controller, etc.) to adjust the position of the stages has to be developed. This also includes the control of the final stretching tester using a PC, e.g. based on a simple LabView program. This project combines mechanical design with the development of the corresponding electronics, and is therefore a very good example for the growing field of mechatronics. (Contact: Dr Niko Munzenrieder. [email protected]) ECE06 BB-8 Rolling Robot Will hardware be involved? YES This project will build an autonomous robot based on a sphere with a control unit balancing on top, similar to the BB-8 robot seen in Star Wars, The Force Awakens. This project is suitable for all engineers. (Contact: Dr Phil Birch. [email protected]) ECE07 Robot motion control using human movement Will hardware be involved? YES The aim of this project is to design and analyse a humanoid robot. The humanoid (skeleton) will be designed and modelled using CAD for construction using rapid prototyping facilities (3D printing, laser cutter, etc.). The design must take into consideration mechanical and motion analysis, which must be validated using simulation. It will also have to consider the use of relevant actuators which could be implemented. (Contact: Dr Luis Ponce Cuspinera. [email protected]) ECE08 Autonomous vehicles traffic management Will hardware be involved? YES The aim of this project is to design and implement a traffic management strategy for autonomous vehicles. A set of robot car chassis will be equipped with various sensors and it will be used to emulate road conditions to design an appropriate strategy. The robots should be able to follow the road and interact with each other to avoid collisions. (Contact: Dr Luis Ponce Cuspinera. [email protected]) ECE09 Advanced Driver-assistance System implementation Will hardware be involved? YES A robotic car chassis will be equipped with relevant automotive sensors (ultrasonic, gyro, hall, etc.) and a microcontroller (Arduino) in order to implement and configure an Advanced Driver-assistance System (ADAS). The implemented system will focus on safety, therefore fault diagnosis and fault tolerance control will be considered. (Contact: Dr Luis Ponce Cuspinera. [email protected]) ECE10 Series-hybrid vehicle control methodology Will hardware be involved? NO The aim of this project is to design a control methodology of a series hybrid drive train (electrically coupled). The strategy should focus on combining the two power sources using power electronics with capability for regenerative braking. Matlab and Multisim will be used to produce simulations and results (Contact: Dr Luis Ponce Cuspinera. [email protected]) ECE11 Neural network for object orientation independent pattern recognition Will hardware be involved? NO The project will employ neural network methods to design filter banks for the orientation independent recognition and discrimination of three dimensional objects, such as road vehicles, in a cluttered environment. The work will involve the development and implementation of filtering algorithms for this pattern recognition task and their comparative performance assessment on an existing image database of test imagery. The simulation code will be written in Matlab. (Contact: Dr Rupert Young. [email protected]) ECE12 Application of the fast Fourier transform algorithm to large number factorisation for cryptographic applications Will hardware be involved? NO Operations based on the Fourier transform are of considerable importance in many signal processing algorithms such as in the fast multiplication of the very large numbers encountered in various cryptographic schemes. This project will investigate application of the FFT in the factorisation of very large numbers into their prime factors. The work will involve gaining an understanding of the underlying theory and development of various FFT algorithms and some basic cryptography with the development of code being undertaken in Matlab or C (Contact: Dr Rupert Young. [email protected]) ECE13 Genetic algorithms for digital filter design Will hardware be involved? NO Digital filters can be characterised in the complex frequency z-domain by the number and location of the poles and zeros of their pulse transfer function. This project will attempt to ‘evolve’ digital filter designs by applying genetic algorithm methods to determine the number and location of the pole and zero positions in the z-domain and evaluate the ‘fitness’ of the filter from its amplitude and phase response derived from the z-domain pole and zero locations. The algorithm development will be carried out in Matlab on a PC. (Contact: Dr Rupert Young. [email protected]) ECE14 Improvement of genetic algorithms for optimisation by realising a closer biological analogy Will hardware be involved? NO Genetic algorithms are a well established technique for optimisation and have been widely applied to a wide variety of applications. They are loosely based on the gene swapping that occurs as part of the meiosis process during gamete formation. However, the existing models could be improved to make them more biologically accurate. For instance, in a biological organism the genotype is expressed via the phenotype before being selected by the environment. This process involves a highly complex non-linear expression of an individual gene. Also, individual genes are activated in many cells within the body of the organism but have a very variable and often localised effect on the phenotype i.e. the physical structure of the organism. The genes are also arranged in a complex hierarchy with a few genes being important for directing the development of a fundamental body plan. This project will attempt to incorporate some of these more accurate biological representations into a genetic algorithm and then assess the performance of the resulting model in a typical optimisation problem, such as the automated focus correction of an image. The algorithm development will be carried out in Matlab on a PC. (Contact: Dr Rupert Young. [email protected]) ECE15 Encryption technique for secure image and document computer storage Will hardware be involved? NO Random phase masks may be generated and multiplied with image or document data. By performing a two dimensional Fourier transform and multiplying by a further random phase mask in the spatial frequency domain, a secure encryption can be obtained. Unscrambling of the data is only possible with knowledge of the phase masks. The project will evaluate this technique by developing code to implement the various encrypting and decrypting stages and apply the technique to test data to evaluate its performance. To allow effective internet transmission, the encryption will be combined with both lossy and lossless data compression and the reconstruction results compared. Matlab will be used for this development. (Contact: Dr Rupert Young. [email protected]) ECE16 Vehicle pattern recognition and tracking using correlation filters Will hardware be involved? NO Correlation filters implemented in the spatial frequency domain have been extensively used for the recognition and tracking of vehicles in high clutter environments. However, it has recently become clear that the performance of the filter is critically dependant on the shape of the boundary around the object that is employed giving rise to the socalled area of support of the filter in the image. This project will investigate the detailed design of correlation filters including the effectiveness of various areas of support in enhancing correlation filter performance i.e. the ability of the filter to discriminate the target object from highly cluttered environments whilst maintaining tolerance to minor distortions of the object. The work will be conducted on a PC in Matlab. (Contact: Dr Rupert Young. [email protected]) ECE17 Associative memory for machine vision based on a triple product Will hardware be involved? NO A common problem in machine vision is the recognition of a target object in spite of distortions of the object due perspective changes and/or conformational changes of the object. Associative memories that require only a partial match between the target object and a stored reference have been investigated to alleviate this difficulty. A model for auto- and hetero-associative memory devised by Gabor (the process has some analogies to ghost image formation in holography) involves the evaluation of the triple product: g’ gi * f (where * represents convolution and the correlation operators). The ith object reference, gi, is correlated with the distorted input object, g’, to produce a relatively localised signal which is then convolved with f to generate f(I), an approximation to the desired heteroassociated recall from the memory, f. The recall can be improved if the process is iterated with an intervening nonlinearity imposed on the output of the correlation prior to subsequent convolution with the f(I-1) approximation from the previous iteration cycle. The purpose of the project will be to generate in Matlab a model of this memory, using FFT techniques for fast evaluation of the correlations/convolutions, and to assess the performance of the technique in comparison to various distortion invariant correlation based filters. (Contact: Dr Rupert Young. [email protected]) ECE18 Modelling of the mammalian retina Will hardware be involved? NO The retina is responsible for a large amount of pre-processing of the image formed by the eye of a mammal before communication with the brain via the optic nerve. This includes space-variant blurring with wavelet functions and a log r-θ co-ordinate transformation in the centre of the visual field. The project will develop Matlab code for modelling these operations and examine how they are employed for such operations as edge detection. (Contact: Dr Rupert Young. [email protected]) ECE19 Image processing analysis of medical X-Ray images Will hardware be involved? NO The research group collaborates with the Medical School in developing digital image processing techniques to quantify features in x-ray and Computer Assisted Tomogram images of a variety of tissues including liver, lung and nerve. This project will continue the design and assessment of these methods to help provide quantitative measures of features in the selected tissue that can be related to various forms of disease states. The code will be written in Matlab to integrate with the existing image analysis software developed by the group. (Contact: Dr Rupert Young. [email protected]) ECE20 Computer modelling of photon counting X-ray detectors for astronomy Will hardware be involved? NO This project will develop new Monte Carlo code in Matlab to model the detection of X-ray photons with specialist semiconductor detectors and compare the results with experimental data already obtained. X-ray astronomy allows high energy processes in the universe to be understood. To address the needs of astronomers in the 21st Century, new detectors need to be developed with extremely high performance. This project will model X-ray interactions in a new generation of astronomical X-ray detectors in order to understand their performance and inform future experimental development. This is a theoretical project involving Matlab programming. Please make an appointment to discuss project with Dr Barnett before selecting. (Contact: Dr Anna Barnett. [email protected]) ECE21 Mission and payload definition for a Venus nanosatellite Will hardware be involved? NO Nanosatellites (e.g. cubesats) are already an established technology for small, low cost, technology demonstration missions in low earth orbit (LEO), but there is increasing interest in using them for science missions beyond LEO (e.g. to the Earth’s moon and the planets). This project will explore and analyse what science is achievable within the engineering limits of 3U cubesat, and make a rational engineering-led assessment of what is possible and whether nanosatellites represent a suitable platform for low cost exploration of Venus. A pre-existing interest in astronomy/space is essential. Please make an appointment to discuss project with Dr Barnett before selecting. (Contact: Dr Anna Barnett. [email protected]) ECE22 Mission and payload definition for a Mars nanosatellite Will hardware be involved? NO Nanosatellites (e.g. cubesats) are already an established technology for small, low cost, technology demonstration missions in low earth orbit (LEO), but there is increasing interest in using them for science missions beyond LEO (e.g. to the Earth’s moon and the planets). This project will explore and analyse what science is achievable within the engineering limits of 3U cubesat, and make a rational engineering-led assessment of what is possible and whether nanosatellites represent a suitable platform for low cost exploration of Mars. A pre-existing interest in astronomy/space is essential. Please make an appointment to discuss project with Dr Barnett before selecting. (Contact: Dr Anna Barnett. [email protected]) ECE23 Mission and payload definition for a Lunar nanosatellite Will hardware be involved? NO Nanosatellites (e.g. cubesats) are already an established technology for small, low cost, technology demonstration missions in low earth orbit (LEO), but there is increasing interest in using them for science missions beyond LEO (e.g. to the Earth’s moon and the planets). This project will explore and analyse what science is achievable within the engineering limits of 3U cubesat, and make a rational engineering-led assessment of what is possible and whether nanosatellites represent a suitable platform for low cost exploration of Earth’s moon. A pre-existing interest in astronomy/space is essential. Please make an appointment to discuss project with Dr Barnett before selecting. (Contact: Dr Anna Barnett. [email protected]) ECE24 Hardware-accelerated activity and context recognition on FPGA Will hardware be involved? YES With technological advances a myriad of sensors can be embedded into everyday accessories, garments, mobile devices or our surroundings. Recently, many wearable motion sensors have been put on the market to quantify physical activities (e.g. Jawbone, Misfit Wearables, Nike Fuelband). However, more complex gestures, physical activities and even complex daily routines can be recognized when combining the signals of multiple sensors. Currently, activity and context recognition is done in software (e.g. on a micro-controller) using streaming machine learning techniques. This implies that the processor must be permanently on to sample and process the sensor data. This increases energy consumption and is not desired in mobile and wearable computing. Instead, hardware pattern recognition offers the possibility to significantly decrease energy usage by placing the data processing in a dedicated sensor front-end within the next generation of processors. We have recently developed an optimized pattern recognition algorithm (template matching) suited for hardware implementation. The objective of this project is translate the existing reference implementation (available in C and Matlab) and design a hardware architecture suited for this algorithm on an FPGA in VHDL or Verilog. Various architectures will be considered: optimizing performance or minimizing energy. The system should allow to configure all the parameters of the system (quantization, template, thresholds, etc). The system will be evaluated against real data coming from a wearable movement sensor and its performance, energy and size will be characterized. Type of work: digital circuit design on FPGA (60%), Matlab (20%), Characterisation (20%). Requirements: good expertise in digital circuit design and VHDL on FPGAs required, Matlab knowledge. (Contact: Dr Daniel Roggen. [email protected]) ECE25 Gesture recognition demonstrator using Kinect Will hardware be involved? YES We have developed a gesture recognition algorithm called LM-WLCSS: Limited-Memory Warping Longest Common Subsequence. The objective of this project is to create a gesture recognition demonstrator under Matlab with this algorithm. This demonstrator will acquire hand movement data from a Kinect. It will allow user to demonstrate several gestures and will then find the optimal parameters to recognise these gestures with LM-WLCSS. Finally, it will perform real-time recognition of the demonstrated gestures with visualisation of the algorithm input and output, and the internal parameters, such as the degree of confidence in the recognition. A software is already available to acquire the Kinect data and provide them via a TCP server. The LM-WLCSS algorithm is available in Matlab for offline use. Type of work: programming (70%), characterisation (30%) Requirements: Matlab programming and Matlab GUI knowledge (Contact: Dr Daniel Roggen. [email protected]) ECE26 Collecting and analysing a modes of locomotion dataset Will hardware be involved? YES Activity recognition requires high quality reference datasets. The objective of this project is to collect a high quality reference dataset of "modes of locomotion" on at least 10 persons using an Android phone. Each dataset must include the following tasks (possibly more upon project start): walking, walking upstairs, walking downstairs, running slowly, running fast, bicycle, sitting (working in office), standing, laying. Each dataset must be at least one hour long with equal distribution of these activities. For each person, the data will be collected using 6 or more placement of the phone (front/back trousers pocket, shirt pocket, handback/backpack, hand, belt). The dataset must be precisely annotated (start/end time of activities). A variety of persons must be used (age, sex) for data collection. Once collected, the dataset will be curated to be placed in an easily usable format. It will finally be analysed following a sliding window approach, extracting standard features and using Weka to automatically classify the activities to create a "reference performance baseline". The quality of the work will be judged based primarily on the re-usability of the dataset and the availability of baselines, and it's suitability to be published on the UCI machine learning repository. Type of work: data collection (60%), machine learning (40%) Requirements: Android programming knowledge, Matlab knowledge, Weka and machine learning knowledge a plus. (Contact: Dr Daniel Roggen. [email protected]) ECE27 Porting a custom smartwatch to Arduino Will hardware be involved? YES We have developed a custom smartwatch based on an Atmega1284P processor and including SD card, Bluetooth, motion sensor, RTC, and expansion slot. The firmware is in C and the current code base comprises all the functions to interact with the peripherals, including a serial bootloader. Current applications must be developed in C with extensive knowledge of the API provided by the smartwatch. As a way to make it easier to use the smartwatch, we wish to make it possible to use it with the Arduino IDE. The objective of this project is to make such a port. This involves understanding what is required to make a custom hardware be Arduino compliant. This will likely include: writing libraries that map the Arduino functions to the API provided by the smartwatch; writing/adapting the bootloader; creating/adapting functions of the smartwatch API; creating demonstrator programs; creating the Arduino configuration and package files, etc. Type of work: programming (80%), API design (20%) Requirements: A solid and comprehensive low-level embedded C programming knowledge is required, Arduino knowledge a plus. (Contact: Dr Daniel Roggen. [email protected]) ECE28 LCD or E-Ink screen for custom smartwatch Will hardware be involved? YES We have developed a custom smartwatch based on an Atmega1284P processor and including SD card, Bluetooth, motion sensor, RTC, and expansion slot. The firmware is in C and the current code base comprises all the functions to interact with the peripherals, including a serial bootloader. The smartwatch comprises connectors on top and bottom for custom extensions. The objective of this project is to create a miniature extension for a screen (either LCD or E-Ink) of size similar to that of the smartwatch. This will include designing the inverter and voltage regulator circuit for the display, designing and producing the PCB, finally creating an API providing functions to draw shapes (lines, rectangles, text, etc). Type of work: PCB design (40%), C programming (40%), characterisation (20%). Requirements: digital and analog circuit design knowledge, C programming knowledge (Contact: Dr Daniel Roggen. [email protected]) ECE29 Atmospheric pressure sensor for custom smartwatch Will hardware be involved? YES We have developed a custom smartwatch based on an Atmega1284P processor and including SD card, Bluetooth, motion sensor, RTC, and expansion slot. The firmware is in C and the current code base comprises all the functions to interact with the peripherals, including a serial bootloader. The smartwatch comprises connectors on top and bottom for custom extensions. The objective of this project is to create a miniature extension for an atmospheric pressure sensor (e.g. MS5637). This will include designing the sensor extension, producing the PCB, creating an API providing functions to query pressure, and finally creating a demonstrator program using the pressure sensor. We would like to detect that somebody is in an elevator by combining the data of the motion sensor and the pressure sensor. Type of work: PCB design (40%), C programming (40%), characterisation (20%). Requirements: digital and analog circuit design knowledge, C programming knowledge (Contact: Dr Daniel Roggen. [email protected]) ECE30 Text to speech for custom smartwatch Will hardware be involved? YES We have developed a custom smartwatch based on an Atmega1284P processor and including SD card, Bluetooth, motion sensor, RTC, and expansion slot. The firmware is in C and the current code base comprises all the functions to interact with the peripherals, including a serial bootloader. The smartwatch comprises connectors on top and bottom for custom extensions. The objective of this project is to create a miniature extension for the smartwatch that includes a text-to-speech chip (e.g. TTS256) and a miniature loudspeaker. This will include designing the extension, producing the PCB, creating an API providing functions to issue speech, and finally creating a demonstrator program. For instance the smartwatch should speak the time or say what is the current activity of the person (standing still, walking). Type of work: PCB design (40%), C programming (40%), characterisation (20%). Requirements: digital and analog circuit design knowledge, C programming knowledge (Contact: Dr Daniel Roggen. [email protected]) ECE31 Electric Potential Sensor extension for smartwatch Will hardware be involved? YES Electric potential sensors (EPS) act as perfect voltmeters and can measure without contact the electric field (and change in it). Among other applications, it can be used to measure muscle activity (surface electromyography). The current chip (manufactured by Plessey Semiconductors) provides an analog output and requires positive and negative power supply, which makes the system inconvenient for integration, for instance in a smartwatch. The objective of this project is to create an extension for a custom smartwatch comprising the electric potential sensor. The extension must offer programmable gain, and programmable high and low-pass filters. This work includes designing designing and producing the PCB, creating an API providing functions to configure the gain and filters, and create a demonstrator of the circuit. Type of work: PCB design (40%), C programming (20%), filter design (20%), characterisation (20%). Requirements: digital and analog circuit design knowledge, filter knowledge, C programming knowledge (Contact: Dr Daniel Roggen. [email protected]) ECE32 Oscilloscope and digital logic analyser for mobile phone Will hardware be involved? YES Current mobile phones have already a multitude of sensors built-in: accelerometers, light sensors, camera, microphone, etc. However they do not have any analog or digital input that could be used as a portable oscilloscope and/or digital logic analyser. The objective of this project is to create a phone extension, connected and powered via USB, that will: serve as oscilloscope (2 channels) and 8 channel digital logic analyser. The software (on Android) will be developed to acquire, visualise, store and interpret the acquired sensor data. In particular it should be able to decode common digital protocols (I2C, UART). The project involves 3D rapid prototyping of the case, design of the sensing electronics in the case, interfacing the sensors with the phone (Android) over USB, and readout of the sensor values from the phone and design of the oscilloscope application. Type of work: PCB design (40%), Android programming (40%), characterisation (20%). Requirements: digital and analog circuit design knowledge, Android programming knowledge (Contact: Dr Daniel Roggen. [email protected]) ECE33 Low-power wearable gesture control Will hardware be involved? YES The objective of this project is to program a wrist-worn device (e.g. our custom-designed miniature sensor or a Pebble Watch, Moto 360, or a miniature internal sensor) comprising accelerometer and microcontroller with a "Warping Longest Common Subsequence" algorithm (C++ code available) to recognise gestures in real time. This algorithm is a an elastic template matching algorithm which compares a typical movement with the actual movement of the user. You will first implement a way to "program the gesture" to recognise in the system (by repeating the gesture several times). Then you will assess the performance of the system at the gestures in real-time (latency, reliability). Finally you will interconnect (e.g. over Bluetooth) the sensor with a piece of equipment (e.g. computer) to be able to do gesture control. For example, a target could be to control PowerPoint slides by the system. Type of work: Android programming (70%), characterisation (30%) Requirements: Android and Java programming knowledge, Matlab knowledge, Android Wear knowledge a plus (Contact: Dr Daniel Roggen. [email protected]) ECE34 People-aware displays (smart mirror) Will hardware be involved? NO Have you ever wondered how many people use the soft drink vending machine at the entrance? Or the water dispenser? Or how long people look at a poster or advert? The objective of this project is to create system with a camera and a display (e.g. using a laptop) that acts as a "mirror" (people see themselves when facing the screen). In addition the system indicates on the screen how many people stood in front of the screen, for how long on average, and tries also to detect sex, age and facial expressions. The data is logged, stored locally, and can be accessed over Bluetooth. The system will be implemented with Qt and OpenCV, unless a better approach is suggested. Type of work: programming (40%), computer vision and machine learning (40%), characterisation (20%) Requirements: C/C++ programming knowledge, Qt and OpenCV knowledge a plus. (Contact: Dr Daniel Roggen. [email protected]) ECE35 Tunnel microscope Will hardware be involved? YES The world of nanometer small objects, this means the observation and manipulation of features as small as one millionth of millimeter is of high importance for different industries. Just think about dirt-repellent surfaces or modern microprocessors. Although these kind of tiny features are extremely important, the most important tool to characterize them, the tunnel microscope, has only been developed (and awarded a noble price) 30 years ago. These microscopes do not work with light, but by measuring small current variations between a tip raster scanning a sample and the sample surface. Nevertheless, there was an impressive development, and in the meantime tunnel microscopes have been built even by students all around the globe. In this project a scanning tunneling microscope previously built by a student of the Sensor Technology Research Centre should be brought into operation again. Based on the existing documentation, the mechanics has to be reviewed and the control electronics has to be updated and connected to a computer. Finally a proof of concept scan of a structured surface should be performed. This project focuses on the maintenance and improvement of an electrometrical system used for the characterization of nanometer small geometrical features. (Contact Dr Niko Munzenrieder. [email protected]) ECE36 Electrostatic simulation of flexible oxide thin-film transistors Will hardware be involved? NO Due to the thermal and mechanical properties of polymer substrates it is not possible to fabricate standard electronic devices on flexible plastic foils. That’s why flexible transistors are fabricated using novel materials like Indium-Gallium-ZincOxide (IGZO). The goal of this project is the simulation of the electrostatic field distribution of IGZO based thin-film transistors (TFTs) using an electric field simulation tool like “ElecNet”. The simulations should then be used to determine the optimal layer thicknesses to achieve an optimized electrostatic control of TFTs smaller than 1 µm. Additionally it can be evaluated if IGZO TFTs can be used as electric field sensors. (Contact Dr Niko Munzenrieder. [email protected]) ECE37 XYZ stage Will hardware be involved? YES The feature sizes of modern mechanical and electric devices can be amazingly small. The pixel size of the new retina displays for example is as small as 0.1 mm. This means equipment used for the fabrication and characterization of such devices must be placed with a similar level of precision. Positioning in the sub-millimeter range is in general done using micrometer screws connected to a movable stage, whereas more advanced system can be actuated using highly precise stepper motors. In this project the control electronics for an EARLING digital positioning system XY stage should be developed. This positioning system has 5 degrees of freedom (x, y and z translation, rotation, tilt), and could potentially be used for applications like ultra-precise positioning of sensor probes. The commercial micrometer stages exhibit excellent special resolution, but the corresponding control electronics is not anymore up to date, and also generates too much electronic noise. This project focuses on the realization of a digital control system for high resolution stepper motors, whereas one potential focus could be the minimization of the generated electronic noise. (Contact Dr Niko Munzenrieder. [email protected]) ECE38 TFT measurement Will hardware be involved? YES Nowadays thin film transistors (TFTs) are one of the most important electronic devices, mainly because of their low price and the possibility of large area fabrication- just think about the great success of TFT displays or touch screens in the last few years! As the name suggests a TFT consists of various very thin layers deposited and structured one after the other using different semiconductor fabrication technologies. We are fabricating TFTs using novel oxide semiconducing materials such as amorphous indium-gallium-zinc-oxide (IGZO). These novel fabrication technologies and materials have big advantages in some fields, but also cause problems for example concerning the electrical long term stability. In this project the stability of our transistors will be evaluated. Therefore the electrical performance of this transistors has to be measured using the existing high-end characterization equipment, and the important performance parameters have to be extracted. In a next step the variability of these performance parameters, in particular of the threshold voltage, has to be evaluated. Here the influence of aging effects can be investigated. This project focuses on the electrical characterization of transistors, and their long-term stability. (Contact Dr Niko Munzenrieder. [email protected]) ECE39 Spice model for flexible short channel TFTs and simulation of high speed circuits Will hardware be involved? NO Flexible thin-film transistors (TFTs) can be fabricated on polymer substrates using novel high performance semiconductors like Indium-GalliumZinc-Oxide (IGZO). Nevertheless, the performance of these TFTs is restricted by the fact that the minimum feature size of the transistors is in general limited to several micrometers. This is due to the mechanical instability of the available plastic substrates. Recently it was possible to fabricate flexible TFTs with smaller channel length using innovative fabrication methods. Before this new short channel TFTs can be integrated into flexible systems and circuits it is necessary to model and simulate their performance. This can for example be done using “Spice” which is a very common simulation tool. It is for example the basic concept of MultiSim. While “spice” models for flexible IGZO TFTs with channel length >2.5 µm are available, the goal of tis projects is to extract the performance parameters of TFTs smaller than 1 µm and to model their behavior using e.g. MultiSim. (Contact Dr Niko Munzenrieder. [email protected]) ECE40 Sensor glove Will hardware be involved? YES Wearable electronics is one of the big trends concerning the integration of electronic devices into our everyday life. One of the main applications of such devices is monitoring and supporting of humans in areas like healthcare, sports, or while performing professional activities. In particular monitoring of body postures is of importance for several applications. One possibility to measure the posture of a human body is to use strain sensors and to evaluate the position of every single joint by recording the deformation of the skin around it. Here, a strain sensor developed in a previous student project should be used to fabricate a sensor glove able to detect the posture of a human hand without the need to attach any sensors to the skin. Therefore a conventional glove has to be equipped with at least 5 strain sensors, and the gathered sensor data has to be evaluated. This project focuses on the integration of resistive strain sensors into a glove, and on the evaluation of its performance. (Contact Dr Niko Munzenrieder. [email protected]) ECE41 Capacitance tester Will hardware be involved? YES YES Nowadays electronic devices are not only fabricated on standard silicon semiconductor wafers, but also on a multiplicity of other substrates made from different materials. The variety of available substrates ranges from glass slides, to paper and numerous organic and inorganic polymers. The only common thing among all these substrates is their form factor, like a piece of paper, all substrates exhibit a small thickness compared to their width and length. The fabrication and performance of electronic devices on such kinds of substrates is influenced by several material specific properties, but one of the most important one is the electric capacitance of substrate. In this project the goal is to build a test setup to measure the specific capacity of arbitrary sheet like materials. This can for example be done using two parallel metallic plates as plate capacitors, whereas the distance and the material between the plates can be changed. If the material under test is place between the plates it acts as dielectric, therefore its properties can easily be measured using a commercial LRC meter. This project focuses on the mechanical aspects of the developed capacitance tester, but can also include the characterization of different substrates concerning their capacitance. (Contact Dr Niko Munzenrieder. [email protected]) ECE42 Microscopy Image Recognition Will hardware be involved? YES This project will use Matlab and some custom built hardware to automatically piece together images taken from a microscope to generate super resolution images and 3D reconstructions. Mostly software, but stepper motors or piezos are required to move the samples. No image processing knowledge is required. (Contact: Dr Phil Birch. [email protected]) ECE43 Traffic Sign and Road Recognition Will hardware be involved? YES This project will look at and implement a system for the automatically recognition of road traffic signs and roads. This is an important step in autonomous vehicle control. The project will be mostly software but modified camera will be developed. (Contact: Dr Phil Birch. [email protected]) ECE44 Robotic Navigation Will hardware be involved? YES This project will develop a robot with a camera to automatically build a map of the room and navigate itself. The robot will be controlled using an Arduino board and a single board computer (eg Raspberry Pi or something more powerful). (Contact: Dr Phil Birch. [email protected]) ECE45 Robotic Face Tracking Will hardware be involved? YES The project will developed a camera mounted on a robotic arm which will automatically locate the people in a room and track them using face detection algorithms. Face detection is an important computer vision task and has numerous applications from crowd monitoring to airport security. There are several methods of detecting faces within an image. This project will concentrate on developing wavelet analysis to locate and count the number of faces within an image. Training sets of faces will be used. The arm will be controlled either by an Arduino board or USB from a host PC. (Contact: Dr Phil Birch. [email protected]) ECE46 Human Detection in Images Will hardware be involved? NO There is extensive research carried out throughout the world to enable computers to detect the presence of humans within an image or video stream. Since the shape is so variable a multiple set of techniques have to be used. This project will explore methods of building a robust detector. Matlab or another programming language can be used. (Contact: Dr Phil Birch. [email protected]) ECE47 Classification of web based images Will hardware be involved? NO The automated classification of images for sorting databases is big growth area of research. Goggle’s image search would be better if you could specify what type of image you were looking for, e.g., graphical, natural image, indoor image, etc. This project will look at deep learning neural networks. (Contact: Dr Phil Birch. [email protected]) ECE48 Cycling Power Meter Will hardware be involved? YES This project will build a power meter for a bicycle. The normal method of measuring the energy output is calculated by measuring the distance and the force applied to the crank arm. The force measurement is however more difficult since it requires sensors built into the bicycle. This project will develop a low powered system for estimating the force, possibly based on GPS, elevation and the gradient of the road. (Contact: Dr Phil Birch. [email protected]) ECE49 Modbus - enabled controller for Distributed Energy Resources using Java Will hardware be involved? YES The integration of Distributed Energy Resources (DER), e.g. solar panel, small battery, electric vehicle charger, in the electricity system is increasing. Several control methods are being developed, to coordinate these DER. All of the control concepts require an implementation, i.e. a controller which physically receives and transmits signals from/to the DER. Novel control algorithms are usually developed in Java-based platforms. Hence, it is required to implement a controller that will be able to receive control signals (e.g. set-points for power output) from Java and translate those to commands under a specific protocol. The opposite must also be possible (receive measurements and translate them to Java). One of the industry standard protocols is Modbus, which involves a master-slave communication mode, either through serial I/O (RS232, RS485), or through TCP/IP. An appropriate platform for hosting Java code is the Raspberry Pi, a credit-card-sized computer running a version of Linux. The aim of this project is to develop an interface for a Raspberry Pi to be able to receive and transmit control/measurement signals using the Modbus protocol. (Contact: Dr Spyros Skarvelis-Kazakos. [email protected]) ECE50 IEC61850 - enabled controller for electrical substation automation systems using Java Will hardware be involved? YES The IEC61850 standard aims to simplify and standardise the operation of power system equipment and enable supervisory control and data acquisition (SCADA). SCADA systems require a controller implementation, which physically receives and transmits signals from/to the equipment. Novel control algorithms are usually developed in Java-based platforms. Hence, it is required to implement a controller that will be able to receive control signals (e.g. set-points for power output) from Java and translate those to commands under a specific protocol. The opposite must also be possible (receive measurements and translate them to Java). An appropriate platform for hosting Java code is the Raspberry Pi, a credit-card-sized computer running a version of Linux. The aim of this project is to develop an interface for a Raspberry Pi to be able to receive and transmit control/measurement signals using the IEC61850 protocol. (Contact: Dr Spyros Skarvelis-Kazakos. [email protected]) ECE51 IEC60870-5-104 - enabled controller for telecontrol in power system automation applications using Java Will hardware be involved? YES The IEC60870-5-104 is a generally established standard for telecontrol, i.e. supervisory control and data acquisition (SCADA), of power system equipment. SCADA systems require a controller implementation, which physically receives and transmits signals from/to the equipment. Novel control algorithms are usually developed in Java-based platforms. Hence, it is required to implement a controller that will be able to receive control signals (e.g. set-points for power output) from Java and translate those to commands under a specific protocol. The opposite must also be possible (receive measurements and translate them to Java). An appropriate platform for hosting Java code is the Raspberry Pi, a credit-card-sized computer running a version of Linux. The aim of this project is to develop an interface for a Raspberry Pi to be able to receive and transmit control/measurement signals using the IEC60870-5-104 protocol. (Contact: Dr Spyros Skarvelis-Kazakos. [email protected]) ECE52 Investigation of the potential of grid-connected energy storage to provide synthetic inertia Will hardware be involved? NO Energy storage devices connected to the grid is gaining popularity, but their active control is not fully developed. Inertia in electrical systems refers to the energy that is stored in machine rotating parts and may damp oscillations in power supply. With the introduction of low-inertia energy resources (e.g. photovoltaics), there is a need to compensate for this lack of inertia in the electricity system. Synthetic inertia is when an energy resource in the electricity network responds to the change of the network frequency, for example by providing active power to prevent frequency drop. This simulates the inertial capabilities of rotating machines. The purpose of this project is to study the potential of common energy storage devices to provide synthetic inertia and derive functional specification requirements for such devices (i.e. response times, ramping rates, etc). In addition, a simple reliability analysis will be performed using simulation software, to evaluate the impact of fast-acting energy storage on the reliability of a simple power system. (Contact: Dr Spyros Skarvelis-Kazakos. [email protected]) ECE53 Impact of electric vehicle charging on electrical network reliability Will hardware be involved? NO Electric vehicles bear great promise for the reduction of carbon emissions from transport. Charging an electric vehicle can be regarded as a load, from the electricity grid perspective. This may have an effect on the reliability indices of the electricity network (such as SAIFI, SAIDI, LOLE, EENS, etc). The aim of this project is to model a simple electricity distribution network and perform a complete reliability analysis to evaluate the impact of electric vehicle charging on reliability indicators. Different locations of vehicles, power ratings, etc. will be considered. (Contact: Dr Spyros Skarvelis-Kazakos. [email protected]) ECE54 Power system cascading failure model in DIgSILENT PowerFactory Will hardware be involved? NO Cascading failures occur in electrical power systems when an important component (e.g. a transformer substation) fails. This then causes another component to be overloaded, which in turn fails as well, thus causing a chain reaction. The final outcome is a partial or complete electrical system blackout. Cascading failures are fairly rare (once every few years) but their consequences are significant, including sometimes loss of life. In order to study cascading failures and mechanisms to prevent them, appropriate models are needed, to build simulated cases of cascading failures. The purpose of this project is to develop a model in DIgSILENT PowerFactory simulation software, which simulates at least one occurrence of a cascading failure in a power system. (Contact: Dr Spyros Skarvelis-Kazakos. [email protected]) ECE55 Identification of electrical load and generation not notified to network operator Will hardware be involved? POSSIBLY Currently, if a customer wants to connect a load or a generator to the electricity distribution network, there is a chance that the network operator would not realise. This is because in some cases the measurements that are taken are aggregating a number of customers, hence any additional load/generation gets lost in the crowd. In addition, sometimes the data is just too much for the operator to analyse effectively. The electricity distribution industry needs methods for recognising the fingerprint of different load types on the network and quantifying them, such as electric vehicles and heat pumps that have not been notified to the network operator. Similarly methods of locating and quantifying microgeneration on the electricity network such as PV that has not been notified to the network operator are also necessary. The aim of this project is to develop such methods. (Contact: Dr Spyros Skarvelis-Kazakos. [email protected]) ECE56 Impact of power electronic based generation and loads on power system harmonics Will hardware be involved? NO Power electronic based generation and loads, such as electric vehicles and photovoltaics are increasingly being introduced in the low voltage levels of modern power systems. Large amounts of power electronic switching could potentially have an effect on power system harmonics, thus reducing power quality. The aim of this project is to model a simple electricity distribution network and perform a harmonics analysis to evaluate the impact of power electronic based generation and loads on harmonics levels. Different locations of power electronic components, power ratings, etc. will be considered. (Contact: Dr Spyros Skarvelis-Kazakos. [email protected]) ECE57 Wind Speed Data Acquisition and Storage for a demonstration project Will hardware be involved? YES It is very important to have wind speed data for any wind power generation project. A small wind turbine is to be installed to demonstrate a new innovation design, at a farm about 7.5 miles away from the University. While some historical wind speed data may be obtained from the nearest met office weather station, on-site data is essential for the success of this demonstration project. This student project will use an anemometer, electronics, and a microcomputer to build a data acquisition and storage system. The project requires site visiting by car, therefore it is the sole responsibility of the student who works on this project to have an existing driving insurance policy that covers such visits. (Contact: Dr Tai Yang. [email protected]) ECE58 Embedded systems design for connected vehicles Will hardware be involved? YES Connected vehicles are very important for the future network infrastructure in vehicular environments to integrate every “object” (e.g., in-vehicles’ sensors, passengers’ smart phones, infrastructures) and form an intelligent ITS. In this project, students will have the opportunity to develop innovative embedded systems to simulate connected vehicles by having multiple mini-robot connected and mobilize in smart ways to improve the efficiency of road transportation. Programming skills, such as C/C++, will be needed for embedded system design. (Contact: Dr Zhengguo Sheng. [email protected]) ECE59 Internet-of-vehicles to support multimedia streaming Will hardware be involved? YES The Internet-of-Vehicles (IoV) is an inevitable convergence of vehicles and the Internet of Things. As a result it is predicted that future vehicles will be connected and integrated with Ethernet. In the IoV paradigm, one important application is to play multimedia streaming, which requires high bandwidth and reliable communications. This project is sponsored by the NXP University Program to design and develop a wireless controlled model racing car to recognize traffic lines using line scanner sensors. Programming skills, such as C/C++, will be needed for embedded system design. (Contact: Dr Zhengguo Sheng. [email protected]) ECE60 Application design to support big data analysis in smart cities Will hardware be involved? YES This project proposes developing a reference application that will highlight the benefits of the proposed connected communications architecture. The application will be able to remotely connect with model vehicles to collect status data and control vehicles. A further goal of the application will use data from connected vehicles and environmental sensors & cameras and external media sources to build a real-time picture of an urban area. Program skills, such as JAVA, C++, will be needed to develop Android based applications. (Contact: Dr Zhengguo Sheng. [email protected]) ECE61 Power line communications for electric vehicles Will hardware be involved? YES The technology, known as power line communications (PLC), has been considered a niche technology until recently and the intra-vehicle communication tasks can be accommodated through PLC, avoiding extra wires and thus having the potential to reduce costs and improve vehicle energy efficiency. In this project, the student will have the opportunity to study the communications environment and protocols to support PLC automotive communication networks, and develop a test environment to evaluate the performance of in-vehicle PLC. (Contact: Dr Zhengguo Sheng. [email protected]) ECE62 Wireless sensor networks for eHealth Will hardware be involved? YES One highly appealing aspect of the embedded devices is its potential contribution to eHealth, defined as the use of mobile information and communication technologies for healthcare. With several sensors, cameras, and biomedical devices implemented throughout the sensor platform, the health conditions of users are continuously monitored. This project is to design a sensor platform and enable it’s connectivity with your smart phone to monitoring health status. Development boards, such as Arduino, will be considered in our project. (Contact: Dr Zhengguo Sheng. [email protected]) ECE63 Cloud platform design for big data monitoring Will hardware be involved? YES The integration of sensor devices and cloud computing creates new opportunities to empower more intelligent sensor based applications. Therefore, the remote cloud platform plays an important role to store and manage data. In this project, the student will develop a simple prototype cloud platform based on free and open source IoT cloud services, and store and monitor our data from sensor devices. (Contact: Dr Zhengguo Sheng. [email protected]) ECE64 Designing DSRC capable On Board Units (OBU) for autonomous vehicles Will hardware be involved? YES The Vehicular Ad Hoc Network (VANET) is a network type that has received a lot of interest the last few years from researchers, standardisation bodies and developers since it has the potential to improve road safety, enhance traffic and travel efficiency as well as make transportation more convenient and comfortable for both drivers and passengers. It is envisioned to be a critical building block of Intelligent Transport Services (ITS), Smart City as well as the Internet of Things (IoT). The key enabling technology, is Dedicated Short Range Communication (DSRC). The DSRC radio technology is essentially IEEE 802.11a adjusted for low overhead operations in the DSRC spectrum. It is being standardized as IEEE 802.11p. The purpose of this project is to design DSRC compliant OBUs for vehicles, using embedded systems and the most appropriate radio, as well as demonstrate their operation through applications such as emergency message exchange as well as video and road map data transfer. (Contact: Dr Zhengguo Sheng. [email protected]) ECE65 Cloud Assisted Vehicular Communications Will hardware be involved? NO Cloud computing enables new types of applications for Vehicular Networks. Various stationary units within such a network can act as gateways to the “cloud”, offering new types of services, media and information for the driver, as well as act as data collectors from the cars for infrastructure applications (toll collection, mapping common routes, traffic congestion information, smart traffic light system etc.). The aim of this project is to build a cloud platform using the free and open source software for collecting and managing vehicle data. (Contact: Dr Zhengguo Sheng. [email protected]) ECE66 Future Vehicular Communications Will hardware be involved? YES The aim of this project is to design and implement a vehicular communication platform with wired and wireless networks enabled capabilities for future connected cars. It is expected to consist of controller area network, Ethernet and wireless technologies such as Zigbee and WiFi to provide intra- and inter-vehicular communication functionalities using commercially available components. This project is already underway and it is intended to continue the work and develop different applications for future cars. (Contact: Dr Falah Ali. [email protected]) ECE67 Border Monitoring using Wireless Sensor Networks Will hardware be involved? YES Border monitoring and surveillance is an important issue among all countries. Wireless sensor network (WSN) consists of a number of devices with sensing and wireless communication capabilities. WSNs have been deployed in many applications from environment monitoring to health. The aim of this project is to design and implement a WSN for border monitoring and surveillance. The system may use fixed and mobile nodes to be constructed using off-the-shelf components. The project involves both hardware and software. (Contact: Dr Falah Ali. [email protected]) ECE68 Development of Mobile Applications Will hardware be involved? POSSIBLY Mobile communications is playing an important role on our daily lives. The aim of the project is to utilize the computing power capabilities of smartphones, data storage, and interface with sensors as a platform to implement a mobile application. The mobile phone has the power to develop variety of applications from gaming to data gathering and medical mobile health. It is expected to make use of the sensors available on smart telephones. The application will be decided in discussion with the student. The project welcomes student with good knowledge in mobile telephone platforms and programming skills. (Contact: Dr Falah Ali. [email protected]) ECE68 Development of Mobile Applications Will hardware be involved? POSSIBLY Mobile communications is playing an important role on our daily lives. The aim of the project is to utilize the computing power capabilities of smartphones, data storage, and interface with sensors as a platform to implement a mobile application. The mobile phone has the power to develop variety of applications from gaming to data gathering and medical mobile health. It is expected to make use of the sensors available on smart telephones. The application will be decided in discussion with the student. The project welcomes student with good knowledge in mobile telephone platforms and programming skills. (Contact: Dr Falah Ali. [email protected]) ECE69 Wireless Sensor Network for Environment Monitoring Will hardware be involved? YES The aim of the project is to design and implement a low cost wireless sensor system for environment monitoring. The system consists of combination sensors, microcontrollers and wireless modules to provide the sensing functions, processing and transmission to a central logging node. It is expected to use commercially available off-the-shelf components. Example sensors include temperature, light, humidity, air pollutants, and gasses. This project is a continuation from last year for wide scale applications. It involves both hardware and software work. (Contact: Dr Falah Ali. [email protected]) ECE70 Optimization of WiFi Will hardware be involved? NO Wireless local area network (WLAN) or as commonly known Wi-Fi is one of the most widely used networking interface in many devices. There is also a huge demand for wireless data driven by new applications and services. This is forcing the need for higher standards and optimizations of Wi-Fi. The aim of the project is to investigate by research and simulations high spectral efficiency solutions such as higher order modulation, multicarrier, and multiple antenna technologies as proposed in latest standards such as IEEE802.11ac to deliver high data rates in excess of gigabit per sec. This project is mainly software programming in MATLAB. (Contact: Dr Falah Ali. [email protected]) ECE71 Unmanned Ground Vehicles Will hardware be involved? YES This project focuses on the application of mobile sensor networks to environment mapping. The project will consist of a number of unmanned ground vehicles (UGVs) each equipped with sensors, an Arduino microcontroller kit and an XBee wireless communications module. This project requires the student to program the UGVs to create a functional autonomous terrain mapping group of vehicles. Typical tasks include UGVs movement over the network area, localisation, and relay information from the UGVs to a central location (sink). (Contact: Dr Falah Ali. [email protected]) ECE71 Smart Home Will hardware be involved? YES The aim of this project is to design and implement a low cost and power efficient smart home automation system where you can control the different appliances within home using sensor nodes with microcontroller and wireless communication technologies. It involves both hardware and software. (Contact: Dr Falah Ali. [email protected]) ECE72 Eco Street Lighting Will hardware be involved? NO Design and analysis of a high efficiency solar panel array and energy storage scheme to support LED street lighting. Generate a requirements specification high-lighting compromises. Create a general assembly or systems schematic of your concept and complete an analysis of this. Complete a detailed design of the elements of the system that you have designed, this should include analysis and calculations. Explore the life cycle and environmental impact of your design. You may not complete all of these activities but you may add others like generating the business case for making the system into a new product. (Contact: Prof Chris Chatwin. [email protected]) FORMULA STUDENT RELATED PROJECTS The Mobil 1 Sussex Team of Formula Student Racing Car is supported by the School/Department and mainly sponsored by Mobil 1. The detail about Formula Student competition can be found at http://www.formulastudent.com/ . For the 2016/2017 team, a new car will be developed and it will be taken to the 2017 Class 1 competition at Silverstone circuit in July 2017. While the project will be basically managed by Year 4 MEng group, a number of Electrical/Elecvtronic/Computer Engineers may undertake projects in the areas shown below. In addition to the main Class 1 competition, the Department also enters the Class 2 competition, which is a design exercise. There is the opportunity for the students doing any of the following projects to undertake design studies and enter this competition as a team along with the Mech/Auto year 3 students entering class 2. ECE73a Formula Student: electrical telemetry Will hardware be involved? POSSIBLY - Design of telemetry system - Model in software (Simulink or other) (Contact: Dick Atkins and/or Dr Helen Prance. [email protected], [email protected] ) ECE73b Formula Student: car electrical system design Will hardware be involved? POSSIBLY - Design of electrical system considering all the current drawing components of the car - Wiring loom diagram - Design a system so that it runs two circuits, one for critical components that is extremely robust, secondary for additional devices to achieve sustainability (Contact: Dick Atkins and/or Dr Helen Prance. [email protected], [email protected] ) ECE73c Formula Student: Electric power recovery Will hardware be involved? YES - Design and test a kinetic energy recovery system capable of powering a small battery and second circuit for telemetry. (Contact: Dick Atkins and/or Dr Helen Prance. [email protected], [email protected] )
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