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Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original...
This demonstration shows a variable-capacitance electrostatic generator made with 3D-printing techniques powering loads through a DC/DC converter. The generator is similar in structure to a microelectromechanical device, and forms an unstable electrostatic generator when connected to a 2-phase diode-capacitor voltage multiplier. As load, a simple bidirectional digital wireless communication system...
The energy harvesting technologies are going to replace the chemical batteries by providing an ever-lasting power solution for future dispersive devices in the Internet of Things (IoT), in particular, wireless sensor networks (WSN) and wearable electronics. The power conditioning circuit plays an crucial role for enhancing the energy harvesting capability [1]. This live demonstration shows a vibration-powered...
A highly flexible software platform for automated data acquisition, production of research objects with data provenance and curation of experiment results throughout the life cycle of the data will be introduced and demonstrated along with a custom miniaturized electrochemical sensor system. The software platform, called eGor, allows users to define test procedures and components through a user friendly...
A wearable electrical impedance tomography system for lung respiratory monitoring will be demonstrated. The system features an active electrode integrated circuit (IC) fabricated in 0.35-μm CMOS technology. The IC is mounted on a flexible printed circuit board which is then embedded in a textile belt. During the live demonstration, the belt can be put on the volunteers' chest, and through a back-end...
Optical methods based on voltage sensitive proteins and Ca2+/voltage sensitive dyes have significantly benefited the field of electrophysiology, parallelizing intracellular recording from a network of electrogenic cells. Creating an analogous all-electrical device — an electrode array capable of intracellular recording from a network of electrogenic cells — has long been an outstanding challenge....
Growth transform neuron models provide a neuromorphic approach for implementing well established machine learning algorithms while producing neural and population dynamics similar to what have been observed in biology, for example, spiking, bursting and noise-shaping [1]. In this demonstration, we will show some of these dynamics in real-time using an FPGA based acceleration platform that implements...
A flexible, versatile, and visually rich memristor crossbar simulator is presented in this paper. The system is represented by a Python graphical user interface (GUI) and memristor simulator engine which can instantiate crossbars of any size made out of any available memristor model. This system serves as an education tool, allowing the user to experiment with memristors in a crossbar configuration.
We present a dynamic voltage and frequency scaling technique within SoCs for per-core power management: the architecture allows for individual, self triggered performance-level scaling of the processing elements (PEs) within less than 100ns. This technique enables each core to adjust its local supply voltage and frequency depending on its current computational load. A test chip has been implemented...
This demonstration presents a convolutional neural network (CNN) playing “RoShamBo” (“rock-paper-scissors”) against human opponents in real time. The network is driven by dynamic and active-pixel vision sensor (DAVIS) events, acquired by accumulating events into fixed event-number frames.
We demonstrate a desktop platform which has the ability of modeling ReRAM TiO2 samples in a highly automated manner. The system consists of a bespoke RRAM characterization instrument that hosts packaged RRAM devices and is operated via a PC. The system's python-based software includes a module that automatically applies strategically chosen sequences of pulses to a test device and then extracts the...
Real-time results obtained from an unsupervised feature extraction system using Restricted Boltzmann Machines (RBMs) implemented on FPGA are presented. The feature extraction application is demonstrated using the MNIST dataset, and the weights storing features are visualized in real-time. A digit classification is also performed based on the learning results. Our demonstration system performs 134...
Pulsars emit broadband electromagnetic radiation, with an individual signature (period and shape), ranging from radio to X-ray and gamma-ray frequencies. For the purpose of navigation the pulsars of interest are fast rotating neutron stars that emit short stable periodic pulses, having periods between milliseconds and seconds. By detecting a set of known pulsars, it is possible to use them as beacons...
We present live demonstration of a hardware that can learn visual features on-line and in real-time during presentation of objects. Input Spikes are coming from a bio-inspired silicon retina or Dynamic Vision Sensor (DVS) and are processed in a Spiking Convolutional Neural Network (SCNN) that is equipped with a Spike Timing Dependent Plasticity (STDP) learning rule implemented on FPGA.
This is a live demonstration of the work described in [l]. The paper ID of this submission is 1292. The goal of this work is to maintain specific pressures on the model residual limb (MRL) to counteract the pressure changes caused by loading/limb movement. Custom textile force sensors are embedded in between the air bladders and the socket. These force sensors communicate with the fluidic control...
The demonstration will presents a battery powered multichannel wireless optogenetic headstage providing neural recording and optical stimulation capabilities simultaneously. The proposed headstage, which is entirely built using commercial off-the-shelf components, includes 32 electrophysiological recording channels and up to 32 high-power optical stimulation channels. It can process 32 neuronal signals...
We demonstrate a 3D imaging system that produces sparse depth maps. It consists in a liquid focus-tunable lens whose focal power can be changed at high speed, placed in front of a SCAMP5 vision-chip embedding processing capabilities in each pixel. The focus-tunable lens performs focal sweeps with shallow depth of fields. These are sampled by the vision chip taking multiple images at different focus...
In this demonstration, we present a frequency-based system serving as the stimulator for biocompatible ionic electroactive polymers (iEAPs). We will demonstrate that we can wirelessly tune both the magnitude and the polarity of the voltage provided by the stimulator, by changing the frequency of the input signal, to control the degree and the direction of the movement of iEAPs.
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