Minhao Yang
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View article: Research on application of intelligent robot based on AI technology in agriculture
Research on application of intelligent robot based on AI technology in agriculture Open
With the continuous progress of science and technology, artificial intelligence has profoundly changed various industries, and the agricultural field is no exception. As an important part of modern agriculture, smart agriculture is rapidly…
View article: PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition
PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition Open
At the end of Moore's law, new computing paradigms are required to prolong the battery life of wearable and IoT smart audio devices. Theoretical analysis and physical validation have shown that analog signal processing (ASP) can be more po…
View article: Comparison of Two in Pixel Source Follower Schemes for Deep Subelectron Noise CMOS Image Sensors
Comparison of Two in Pixel Source Follower Schemes for Deep Subelectron Noise CMOS Image Sensors Open
This paper compares two in-pixel source follower stage designs for low noise CMOS image sensors embedded both on a same 5 mm by 5 mm chip fabricated in a 180 nm CIS process. The presented chip embeds two pixel variants, one based on a body…
View article: MarkerGenie: an NLP-enabled text-mining system for biomedical entity relation extraction
MarkerGenie: an NLP-enabled text-mining system for biomedical entity relation extraction Open
Motivation Natural language processing (NLP) tasks aim to convert unstructured text data (e.g. articles or dialogues) to structured information. In recent years, we have witnessed fundamental advances of NLP technique, which has been widel…
View article: PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition
PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition Open
At the end of Moore's law, new computing paradigms are required to prolong the battery life of wearable and IoT smart audio devices. Theoretical analysis and physical validation have shown that analog signal processing (ASP) can be more po…
View article: Power efficient analog features for audio recognition.
Power efficient analog features for audio recognition. Open
The digital signal processing-based representations like the Mel-Frequency Cepstral Coefficient are well known to be a solid basis for various audio processing tasks. Alternatively, analog feature representations, relying on analog-electro…
View article: Always-On Sub-Microwatt Spiking Neural Network Based on Spike-Driven Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device
Always-On Sub-Microwatt Spiking Neural Network Based on Spike-Driven Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device Open
This paper presents a novel spiking neural network (SNN) classifier architecture for enabling always-on artificial intelligent (AI) functions, such as keyword spotting (KWS) and visual wake-up, in ultra-low-power internet-of-things (IoT) d…
View article: Nanowatt Acoustic Inference Sensing Exploiting Nonlinear Analog Feature Extraction
Nanowatt Acoustic Inference Sensing Exploiting Nonlinear Analog Feature Extraction Open
Ultralow-power sensing with inference functionality embedded in sensor nodes is essential for enabling the emerging pervasive intelligence. For acoustic inference sensing, the feature extraction can take advantage of power-efficient analog…
View article: A 6.3-Nanowatt-per-Channel 96-Channel Neural Spike Processor for a Movement-Intention-Decoding Brain-Computer-Interface Implant
A 6.3-Nanowatt-per-Channel 96-Channel Neural Spike Processor for a Movement-Intention-Decoding Brain-Computer-Interface Implant Open
This paper presents microwatt end-to-end neural signal processing hardware for deployment-stage real-time upper-limb movement intent decoding. This module features intercellular spike detection, sorting, and decoding operations for a 96-ch…
View article: Always-On, Sub-300-nW, Event-Driven Spiking Neural Network based on Spike-Driven Clock-Generation and Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device
Always-On, Sub-300-nW, Event-Driven Spiking Neural Network based on Spike-Driven Clock-Generation and Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device Open
Always-on artificial intelligent (AI) functions such as keyword spotting (KWS) and visual wake-up tend to dominate total power consumption in ultra-low power devices. A key observation is that the signals to an always-on function are spars…
View article: 14.1 A 510nW 0.41V Low-Memory Low-Computation Keyword-Spotting Chip Using Serial FFT-Based MFCC and Binarized Depthwise Separable Convolutional Neural Network in 28nm CMOS
14.1 A 510nW 0.41V Low-Memory Low-Computation Keyword-Spotting Chip Using Serial FFT-Based MFCC and Binarized Depthwise Separable Convolutional Neural Network in 28nm CMOS Open
Ultra-low power is a strong requirement for always-on speech interfaces in wearable and mobile devices, such as Voice Activity Detection (VAD) and Keyword Spotting (KWS) [1]-[5]. A KWS system is used to detect specific wake-up words by spe…
View article: Restricted Airspace Unit Identification Using Density-Based Spatial Clustering of Applications with Noise
Restricted Airspace Unit Identification Using Density-Based Spatial Clustering of Applications with Noise Open
This paper first calculates the departure delay and arrival delay of each flight by mining historical flight data. Then, a new method based on density clustering for identification and visualization of restricted airspace units that consid…
View article: Ultra-Low-Power Intelligent Acoustic Sensing using Cochlea-Inspired Feature Extraction and DNN Classification
Ultra-Low-Power Intelligent Acoustic Sensing using Cochlea-Inspired Feature Extraction and DNN Classification Open
We present our recent progress in ultra-low-power intelligent acoustic sensing that harnesses the high power and energy efficiency of cochlea-like analog feature extraction and binarized neural network classification. Compared with convent…
View article: Design of an Always-On Deep Neural Network-Based 1-$\mu$ W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction
Design of an Always-On Deep Neural Network-Based 1-$\mu$ W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction Open
This paper presents an ultra-low-power voice activity detector (VAD). It uses analog signal processing for acoustic feature extraction (AFE) directly on the microphone output, approximate event-driven analog-to-digital conversion (ED-ADC),…
View article: Effect of Using Mobile Phones on Driver’s Control Behavior Based on Naturalistic Driving Data
Effect of Using Mobile Phones on Driver’s Control Behavior Based on Naturalistic Driving Data Open
Distracted driving behaviors are closely related to crash risk, with the use of mobile phones during driving being one of the leading causes of accidents. This paper attempts to investigate the impact of cell phone use while driving on dri…
View article: A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method
A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method Open
In order to reduce the air pollution impacts by aircraft operations around airports, a fast and accurate prediction of air quality related to aircraft operations is an essential prerequisite. This article proposes a new framework with a co…