Author details
Author's Published Works
Scheduled Maintenance on Monday 1/13/2025
Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.
Author details
Showing 1-5 of 5 results
- Sort
Sort By
Results
Zram Instance Pool Framework for Adaptive Memory Compression in Resource-Sensitive Embedded Operating Systems
Yin Deng;Guoqi Xie;Chenglai Xiong;Sirong Zhao;Wei Ren;Kenli Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Year: 2025 | Early Access Article |
Memory compression can reduce the size of the inactive data in the random access memory (RAM), thereby freeing up unused space and allowing more programs to run; however, current mainstream memory compression frameworks (e.g., Zram and Zswap) and algorithms (e.g., Zstd and Lz4) do not effectively solve the problem of increased CPU utilization, causing they cannot be directly applied to the resourc...Show More
The study of C. elegans responses to external stimuli is crucial for understanding their locomotion patterns. Common stimuli include optogenetic stimulation, electrical stimulation, and chemical stimulation. Investigating the locomotion responses of C. elegans to these stimuli helps scientists understand how the nervous system integrates external signals to produce appropriate motor responses. How...Show More
Closed-Loop Physical Reservoir Computing with Optogenetic Control in Biological Neural Networks
Jie Li;Yin Deng;Yarong Lin;Zeying Lu;Xiaojuan Sun;Yueheng Lan;Longze Sha;Lili Gui;Kun Xu
This study introduces physical reservoir computing (PRC) using in vitro biological neural networks for efficient signal processing and computation. The system employs optogenetic control and First-Order Reduced and Controlled Error (FORCE) learning to enable a virtual car to avoid obstacles. Online neuronal activity is captured with a CMOS camera based on calcium imaging and optical stimulation is...Show More
A System for Simultaneous Optogenetics Stimulation, Calcium Imaging, Electrical Signal Detection, and Electrical Stimulation of In Vitro Neuronal Networks
Yin Deng;Yarong Lin;Shiyang Cao;Tao Li;Jie Li;Zeying Lu;Yueheng Lan;Xiaojuan Sun;Longze Sha;Lili Gui;Qi Xu;Kun Xu
In vitro neuronal networks are promising models for neural computing. Despite numerous efforts to determine the activities of these neuronal networks, achieving high spatiotemporal resolution in recording and controlling neuronal activities remains challenging. Here, we propose the OptoCaMEA system, which simultaneously records neuronal network activities with a temporal resolution of 50 microseco...Show More
Design and Implementation of The Incoming-Popup Module of Call Center System Based On WebSocket
2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
In this paper, we compare several technical schemes of developing incoming-popup function module of call center system agent client in B/S mode, and construct the incoming-popup function module based on WebSocket, which can reduce the load of the server system to the minimum, provide technical support for the stable operation of the large capacity call center, and facilitate the integration with C...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.