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Articles 1 - 5 of 5
Full-Text Articles in VLSI and Circuits, Embedded and Hardware Systems
Creating Reel Designs: Reflecting On Arthrogryposis Multiplex Congenita In The Community, Iris Layadi
Creating Reel Designs: Reflecting On Arthrogryposis Multiplex Congenita In The Community, Iris Layadi
Purdue Journal of Service-Learning and International Engagement
Because of its extreme rarity, the genetic disease arthrogryposis multiplex congenita (AMC) and the needs of individuals with the diagnosis are often overlooked. AMC refers to the development of nonprogressive contractures in disparate areas of the body and is characterized by decreased flexibility in joints, muscle atrophy, and developmental delays. Colton Darst, a seven-year-old boy from Indianapolis, Indiana, was born with the disorder, and since then, he has undergone numerous surgical interventions and continues to receive orthopedic therapy to reduce his physical limitations. His parents, Michael and Amber Darst, have hopes for him to regain his limbic motion and are …
Verifying Spi With Universal Verification Methodology (Uvm), Yueting Zhao
Verifying Spi With Universal Verification Methodology (Uvm), Yueting Zhao
Discovery Undergraduate Interdisciplinary Research Internship
Nowadays, system-on-chips (SoC) are widely applied to perform any computing task. They are used in personal computers, embedded systems, and mobile computing. During the design of an SoC, testing and debugging play important roles to ensure the correct functionalities before sending the chip for fabrication. There are several different verification methods, among which the Universal Verification Methodology (UVM) is the one we are using. It is written in SystemVerilog and is an efficient method for verifying digital designs that is standardized in the industry. Following UVM, we can create scalable and well-formatted testbenches that can be reused for other components …
Virtual-Source Based Accurate Model For Predicting Noise Behavior At High Frequencies In Nanoscale Pmos Soi Transistors, Vaibhav R. Ramachandran, Saeed Mohammadi, Sutton Hathorn
Virtual-Source Based Accurate Model For Predicting Noise Behavior At High Frequencies In Nanoscale Pmos Soi Transistors, Vaibhav R. Ramachandran, Saeed Mohammadi, Sutton Hathorn
The Summer Undergraduate Research Fellowship (SURF) Symposium
Complementary Metal Oxide Semiconductor (CMOS) technology at the nanometre scale is an excellent platform to implement monolithically integratedsystems because of the low cost of manufacturing and ease of integration. Newly developed CMOS Silicon on Insulator (SOI) transistors that are currentlydeveloped are suitable for use in radio frequency circuits. They find applications in many areas such as 5G telecommunication systems, high speed Wi-Fi andairport body-scanners. Unfortunately, the models for CMOS SOI transistors that are currently used in these circuits are inaccurate because of their complexity.The models currently used require the optimization of more than 200 variables. This paper aims to accurately …
Reward Modulated Spike Timing Dependent Plasticity Based Learning Mechanism In Spiking Neural Networks, Shrihari Sridharan, Gopalakrishnan Srinivasan, Kaushik Roy
Reward Modulated Spike Timing Dependent Plasticity Based Learning Mechanism In Spiking Neural Networks, Shrihari Sridharan, Gopalakrishnan Srinivasan, Kaushik Roy
The Summer Undergraduate Research Fellowship (SURF) Symposium
Spiking Neural Networks (SNNs) are one of the recent advances in machine learning that aim to further emulate the computations performed in the human brain. The efficiency of such networks stems from the fact that information is encoded as spikes, which is a paradigm shift from the computing model of the traditional neural networks. Spike Timing Dependent Plasticity (STDP), wherein the synaptic weights interconnecting the neurons are modulated based on a pair of pre- and post-synaptic spikes is widely used to achieve synaptic learning. The learning mechanism is extremely sensitive to the parameters governing the neuron dynamics, the extent of …
An Ant-Based Sensor Measurement Data Gathering System, Bolun Zhang, Dimitrios Peroulis
An Ant-Based Sensor Measurement Data Gathering System, Bolun Zhang, Dimitrios Peroulis
The Summer Undergraduate Research Fellowship (SURF) Symposium
Large-scale industries involved with a great amount of sensor measurements in their work are facing many challenges in data collection. Sensors are not on the same network; therefore each measurement has to be managed separately. Gathering all the measurement data to one terminal could be difficult. Once a measurement is obtained, it takes significant amount of time to process the data.The approaches our group takes here is to build a giant ANT wireless network that holds all the sensors’ measurements. To be more specific, every sensor has an ANT chip set up on its side. Each ANT chip is as …