Zhuo Zou

Zhuo Zou
Fudan University

Doctor of Philosophy

About

171
Publications
43,698
Reads
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1,983
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Introduction
Zhuo Zou received his Ph.D. degree in Electronic and Computer Systems from KTH Royal Institute of Technology, Sweden, in 2012. Currently, he is with Fudan University Shanghai as a Full Professor, where he is conducting research on integrated circuits and systems for IoT and ubiquitous intelligence.

Publications

Publications (171)
Article
Full-text available
The Industrial Internet of Things (IIoT) is a rapidly emerging technology that increases the efficiency and productivity of industrial environments by integrating smart sensors and devices with the internet. The advancements in communication technologies have introduced stable connectivity and a higher data transfer rate in the IIoT. The IIoT devic...
Article
This paper presents a neuromorphic processing system with a spike-driven spiking neural network (SNN) processor design for always-on wearable electrocardiogram (ECG) classification. In the proposed system, the ECG signal is captured by level crossing (LC) sampling, achieving native temporal coding with single-bit data representation, which is direc...
Article
Single-atom catalysis is mainly focused on its dispersed high-density catalytic sites, but delicate designs to realize a unique catalysis mechanism in terms of target reactions have been much less investigated. Herein an iron single atomic site catalyst anchored on 2-D N-doping graphene (Fe-SASC/G) was synthesized and further employed as a biomimet...
Article
Oxidative stress of aquatic microorganisms under heavy metal stress is closely reflected by metabolite changes in cells but it is very difficult to study due to the fast metabolism process and severe in-situ measurements hurdle. Herein, the oxidative stress of cadmium on Euglena gracilis was systematically studied through multi-combined techniques....
Article
Full-text available
The spiking neural network (SNN) is a possible pathway for low-power and energy-efficient processing and computing exploiting spiking-driven and sparsity features of biological systems. This article proposes a sparsity-driven SNN learning algorithm, namely backpropagation with sparsity regularization (BPSR), aiming to achieve improved spiking and s...
Article
The impact that artificial intelligence (AI) has made across several industries in today’s society is clearly seen in applications ranging from medical diagnosis to customer service chatbots, to financial trading. It is also evident that AI has a huge role to play in emerging and future applications and will be increasingly used in mission-critical...
Article
Full-text available
The Bayesian Confidence Propagation Neural Network (BCPNN) has been implemented in a way that allows mapping to neural and synaptic processes in the human cortexandhas been used extensively in detailed spiking models of cortical associative memory function and recently also for machine learning applications. In conventional digital implementations...
Article
It remains challenging for a Convolutional Neural Network (CNN) accelerator to maintain high hardware utilization and low processing latency with restricted on-chip memory. This paper presents an In-Execution Configuration Accelerator (IECA) that realizes an efficient control scheme, exploring architectural data reuse, unified in-execution controll...
Article
In this paper, an on-device classification of electrocardiography (ECG) with Compressed Learning (CL) for health Internet of Things (IoT) is proposed. A CL algorithm combining with one-dimensional (1-D) Convolutional Neural Network (CNN) that directly learns on ECG signals in the compression domain without expanded normalization is proposed. Such a...
Article
Implementing artificial intelligence (AI) in the Internet of Things (IoT) involves a move from the cloud to the heterogeneous and low-power edge, following an urgent demand for deploying complex training tasks in a distributed and reliable manner. This work proposes a self-aware distributed deep learning (DDL) framework for IoT applications, which...
Article
Full-text available
In recent years, the application of traceability systems in the food and drug industry has developed rapidly, but it is rarely used for wind turbines. From the aspects of low information transparency and information islands in the supply chain process for wind turbines, a reliable traceability system is essential. However, the existing traceability...
Article
Full-text available
The Industrial Internet of Things (IIoT) refers to the use of traditional Internet of Things (IoT) concepts in industrial sectors and applications. IIoT has several applications in smart homes, smart cities, smart grids, connected cars, and supply chain management. However, these systems are being more frequently targeted by cybercriminals. Deep le...
Preprint
The combination of data from multiple sensors, also known as sensor fusion or data fusion, is a key aspect in the design of autonomous robots. In particular, algorithms able to accommodate sensor fusion techniques enable increased accuracy, and are more resilient against the malfunction of individual sensors. The development of algorithms for auton...
Article
Full-text available
The smart unmanned vending machine using machine vision technology suffers from the sharp decrease of detection accuracy due to the incomplete image collection of items by monocular camera in complex environment, and the lack of obvious features in dense stacking of items. In this paper, a binocular camera system is designed to effectively solve th...
Article
Full-text available
Life cycle assessment (LCA) is conducive to the change in the wind power industry management model and is beneficial to the green design of products. Nowadays, none of the LCA systems are for wind turbines and the concept of Internet of Things (IoT) in LCA is quite a new idea. In this paper, a four-layer LCA platform of wind turbines based on IoT a...
Article
Here unique cobalt nanoparticles were deposited on nitrogen-doped graphene as an enzyme-free biomimetic sensor for superoxide anion detection with the shortest response time and the highest sensitivity among the known...
Article
The reported biosupercapacitors are new, but their specific capacitances and power densities are pretty low. Inspiring from the suddenly blasting unusual high power of human during emergencies, we propose a...
Article
The industrial Internet of Things (IIoT) plays an important role in the industrial sector, where secure, scalable, and easily adopted technologies are being implemented for the smart industry. The traditional IIoT architectures are generally based on centralized architectures that are vulnerable to a single point of failure and to several cyber-att...
Article
This paper presents a memory-efficient CNN accelerator design for resource-constrained devices in Internet of Things (IoT) and autonomous systems. A segmented logarithmic (SegLog) quantization method is exploited to mitigate the on-chip memory and bandwidth requirements, thus accommodating more processing elements (PEs) in a given chip area to orga...
Article
This paper presents an Internet of Things (IoT) anti-counterfeiting system that uses visual features combined with the Quick Response (QR) code. The visual features guarantee the authenticity of a product with the QR code for tracking and tracing. Two visual features, i.e., natural texture features and printed micro features are exploited in the pr...
Article
Full-text available
The growth in the size of deep neural network (DNN) models poses both computational and memory challenges to the efficient and effective implementation of DNNs on platforms with limited hardware resources. Our work on segmented logarithmic (SegLog) quantization, adopting both base-2 and base-\(\sqrt {2}\) logarithmic encoding, is able to reduce inf...
Conference Paper
Industrial Internet of Things (IIoT) has arisen as an emerging trend in the industrial sector. Millions of sensors present in IIoT networks generate a massive amount of data that can open the doors for several cyber-attacks. An intrusion detection system (IDS) monitors real-time internet traffic and identify the behavior and type of network attacks...
Article
Full-text available
Unstaffed retail shops have emerged recently and been noticeably changing our shopping styles. In terms of these shops, the design of vending machine is critical to user shopping experience. The conventional design typically uses weighing sensors incapable of sensing what the customer is taking. In the present study, a smart unstaffed retail shop s...
Article
Full-text available
Precise time synchronization becomes a vital constituent due to the rigorous needs of several time-sensitive applications. The clock synchronization protocol is one of the fundamental factors that can define the quality of communication. Our study starts with a brief discussion on the application domain of precise time synchronization and comes wit...
Article
Hand paralysis is one of the most common complications in stroke patients, which severely impacts their daily lives. This paper presents a wearable hand rehabilitation system that supports both mirror therapy and task-oriented therapy. A pair of gloves, i.e., a sensory glove and a motor glove, was designed and fabricated with a soft, flexible mater...
Article
Full-text available
Aspergillus flavus (A. flavus) is a kind of ubiquitous pathgenic fungi, of which an early and accurate detection and inhibition mehtod is essential to reduce its resulted damage of Afatoxions. Here real-time monitoring superoxide anions (O2•−) released from cinnamaldehyde-treated A. flavus was performed for the first time by an electrochemical enzy...
Preprint
Full-text available
This conceptual paper discusses how different aspects involving the autonomous operation of robots and vehicles will change when they have access to next-generation mobile networks. 5G and beyond connectivity is bringing together a myriad of technologies and industries under its umbrella. High-bandwidth, low-latency edge computing services through...
Article
Nitric oxide (NO) is an important bio-regulatory and signaling molecule associated with various physiological and pathophysiological pathways, but its sensitive real-time detection is still very challenging due to the low concentration, large diffusivity and fast decay in biological samples. Here an antimony tetroxide (Sb2O4) nanoflowers/reduced gr...
Article
Full-text available
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial applications, databases, services, and people at work. The IIoT is improving our lives in several ways including smarter cities, agriculture, and e-healthcare, etc. Although the IIoT shares several characteristics with the consumer IoT, different cybersecuri...
Conference Paper
Full-text available
This conceptual paper discusses how different aspects involving the autonomous operation of robots and vehicles will change when they have access to next-generation mobile networks. 5G and beyond connectivity is bringing together a myriad of technologies and industries under its umbrella. High-bandwidth, low-latency edge computing services through...
Preprint
Full-text available
Ultra-wideband technology has emerged in recent years as a robust solution for localization in GNSS denied environments. In particular, its high accuracy when compared to other wireless localization solutions is enabling a wider range of collaborative and multi-robot application scenarios, being able to replace more complex and expensive motion-cap...
Article
The combination of data from multiple sensors, also known as sensor fusion or data fusion, is a key aspect in the design of autonomous robots. In particular, algorithms able to accommodate sensor fusion techniques enable increased accuracy, and are more resilient against the malfunction of individual sensors. The development of algorithms for auton...
Article
Full-text available
Ultra-wideband technology has emerged in recent years as a robust solution for localization in GNSS denied environments. In particular, its high accuracy when compared to other wireless localization solutions is enabling a wider range of collaborative and multi-robot application scenarios, being able to replace more complex and expensive motion-cap...
Article
Interplay between ions and electrons endows memristor with promising applications from the high density storages, memory logic gates to neuromorphic chips. The interplay-induced memristor evolution stage involving an original stage (non-standard faradic capacitance, NFC), transition stage (battery-like capacitance, BLC) and resistive switching stat...
Conference Paper
Full-text available
The combination of data from multiple sensors, also known as sensor fusion or data fusion, is a key aspect in the design of autonomous robots. In particular, algorithms able to accommodate sensor fusion techniques enable increased accuracy, and are more resilient against the malfunction of individual sensors. The development of algorithms for auton...
Conference Paper
Full-text available
A recent trend in the IoT is to shift from traditional cloud-centric applications towards more distributed approaches embracing the fog and edge computing paradigms. In autonomous robots and vehicles, much research has been put into the potential of offloading computationally intensive tasks to cloud computing. Visual odometry is a common example,...
Conference Paper
Full-text available
Offloading computationally intensive tasks such as lidar or visual odometry from mobile robots has multiple benefits. Resource constrained robots can make use of their network capabilities to reduce the data processing load and be able to perform a larger number tasks in a more efficient manner. However, previous works have mostly focused on cloud...
Conference Paper
The need of data compression at smart Edge/Fog-based gateways is undeniable as data compression can significantly reduce the amount of data that has to be transmitted over a network. This, in turn, has a direct impact on reducing transmission latency and increasing network bandwidth. In time-critical and data sensitive IoT applications such as heal...
Article
Full-text available
Direct electrochemistry, a direct electron transfer process between enzymes and electrode possesses, has important fundamental significance in bioelectrochemistry while offering very efficient electrocatalysis for enzyme‐based sensors. Herein, the pore structure of bacterial cellulose porous carbon nanofibers (BPCNFs) is tailored by controlled ther...
Conference Paper
Full-text available
The development of autonomous vehicles has seen considerable advances over the past decade. However, specific challenges remain in the area of autonomous waterborne navigation. Two key aspects in autonomous surface vehicles are sensor calibration and segmentation of water surface. Cameras and other sensors in a car or drone can be installed accurat...
Conference Paper
Full-text available
The agricultural and farming industries have been widely influenced by the disruption of the Internet of Things. The impact of the IoT is more limited in countries with less penetration of mobile internet such as sub-Saharan countries, where agriculture commonly accounts for 10 to 50% of their GPD. The boom of low-power wide-area networks (LPWAN) i...
Conference Paper
Full-text available
The cooperation of multiple robots towards a common goal requires a certain spatial distribution, or formation configuration, of the agents in order to succeed. Centralized controllers that have information about the absolute or relative positions of all agents, or distributed approaches using communication to share system-wide information between...
Conference Paper
Full-text available
Low power wide area networks (LPWAN) are widely used in IoT applications as they offer low power consumption and long-range communication. LoRaWAN and SigFox have taken the top positions in the unlicensed ISM bands, while LTE-M and NB-IoT have emerged within cellular networks. We focus on unlicensed bands operation because of their availability for...
Conference Paper
Full-text available
Three-dimensional representations and maps are the key behind self-driving vehicles and many types of advanced autonomous robots. Localization and mapping algorithms can achieve much higher levels of accuracy with dense 3D point clouds. However, the cost of a multiple-channel three-dimensional lidar with a 360°field of view is at least ten times th...
Article
Full-text available
The dental disease is a common disease for a human. Screening and visual diagnosis which are currently performed in clinics possibly cost a lot in various manners. Along with the progress of the Internet of Things (IoT) and Articial Intelligence (AI), the internet-based intelligent system have shown great potential in applying home-based healthcare...
Conference Paper
Protocols enable things to connect and communicate, thus making the Internet of Things possible. The performance aspect of the Internet of Things protocols, vital to its widespread utilization, have received much attention. However, one aspect of IoT protocols, essential to its adoption in the real world, is a protocols’ feature set. Comparative an...
Conference Paper
Full-text available
Internet of Things (IoT) applications for healthcare are one of the most studied aspects in the research landscape due to the promise of more efficient resource allocation for hospitals and as a companion tool for health professionals. Yet, the requirements in terms of low power, latency and knowledge extraction from the large amount of physiologic...