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Optoelectronic array of photodiodes integrated with RRAMs for energy-efficient in-sensor computing.
Light Sci Appl
January 2025
Department of Electronic Engineering, Tsinghua University, Beijing, China.
The rapid development of internet of things (IoT) urgently needs edge miniaturized computing devices with high efficiency and low-power consumption. In-sensor computing has emerged as a promising technology to enable in-situ data processing within the sensor array. Here, we report an optoelectronic array for in-sensor computing by integrating photodiodes (PDs) with resistive random-access memories (RRAMs).
View Article and Find Full Text PDFAn extensive dataset of spiking activity to reveal the syntax of the ventral stream.
Neuron
January 2025
Department of Vision & Cognition, Netherlands Institute for Neuroscience (KNAW), 1105 BA Amsterdam, the Netherlands; Department of Integrative Neurophysiology, VU University, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands; Department of Neurosurgery, Academic Medical Centre, Postbus 22660, 1100 DD Amsterdam, the Netherlands; Laboratory of Visual Brain Therapy, Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, 75012 Paris, France. Electronic address:
Visual neuroscience benefits from high-quality datasets with neuronal responses to many images. Several neuroimaging datasets have been published in recent years, but no comparable dataset with spiking activity exists. Here, we introduce the THINGS ventral stream spiking dataset (TVSD).
View Article and Find Full Text PDFvan der Waals Photonic Bipolar Junction Transistors Capable of Simultaneously Discerning Wavelength Bands and Dual-Function Chip Application.
ACS Nano
January 2025
State Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
The exponential growth of the Internet of Things (IoTs) has led to the widespread deployment of millions of sensors, crucial for the sensing layer's perception capabilities. In particular, there is a strong interest in intelligent photonic sensing. However, the current photonic sensing device and chip typically offer limited functionality, and the devices providing their power take up excessive amounts of space.
View Article and Find Full Text PDFEvolving the job demands-resources framework to JD-R 3.0: The impact of after-hours connectivity and organizational support on employee psychological distress.
Acta Psychol (Amst)
January 2025
Department of Psychology, Renmin University of China, Beijing, China.
This study extends the Job Demands-Resources (JD-R) framework by proposing JD-R 3.0, which explores the dynamic and nonlinear relationships among Work Connectivity Behavior After-Hours (WCBA), Perceived Organizational Support (POS), and employee outcomes, with a specific focus on psychological contract violation (PCV) and psychological distress. Data were collected from 625 employees in a large financial organization in China across two waves, and polynomial regression and response surface analysis were used for hypothesis testing.
View Article and Find Full Text PDFPayload State Prediction Based on Real-Time IoT Network Traffic Using Hierarchical Clustering with Iterative Optimization.
Sensors (Basel)
December 2024
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China.
IoT (Internet of Things) networks are vulnerable to network viruses and botnets, while facing serious network security issues. The prediction of payload states in IoT networks can detect network attacks and achieve early warning and rapid response to prevent potential threats. Due to the instability and packet loss of communications between victim network nodes, the constructed protocol state machines of existing state prediction schemes are inaccurate.
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