Artificial Intelligence Chip and Advanced Integrated Circuit Design

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: closed (22 December 2023) | Viewed by 2345

Special Issue Editors


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Guest Editor
Department of Communication Engineering, National Penghu University of Science and Technology, Magong City 880011, Taiwan
Interests: driver IC design; power IC design

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Guest Editor
Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung City 41170, Taiwan
Interests: analog IC design; RF IC design; power IC design

Special Issue Information

Dear Colleagues,

About 6th International Symposium on Computer, Consumer and Control (IS3C2023). This Special Issue pertains to the 6th International Symposium on Computer, Consumer and Control (IS3C2023) to be held in Taichung, Taiwan, June 30 - July 3, 2023. This conference offers a great opportunity for scientists, engineers, and practitioners to present the latest research results, ideas, developments, and applications. IS3C, held every two years, is hosted and sponsored by National Chin-Yi University of Technology, Taichung, Taiwan. As suggested by the name of the conference, the themes of this conference cover advanced multimedia, computer, telecommunication, sensors and semiconductor, consumer electronics, renewable energy, systems and control, and digital signal processing. Original high-quality papers related to these themes are especially solicited, including theories, methodologies, and applications in Computing, Consumer and Control.

Chips have a significant impact on people's livelihood, national defense, science and technology and other fields. Therefore, the United States, China, Japan, Germany and other major countries in the world have launched industrial competition. These events have repeatedly highlighted the importance of this industry. In this symposium, there is a chapter dedicated to this topic. So we would like to ask your journal for a special issue on chip design.

Dr. Hsiao-Hsing Chou
Dr. San-Fu Wang
Guest Editors

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Keywords

  • systems on chip application of microelectronics
  • biomedical circuit
  • biomedical sensor
  • artificial intelligence chip advanced integrated circuit design
  • communication circuit
  • low power analog circuit design
  • AIoT circuit
  • wireless communication
  • circuits for 5G applications
  • power circuit and energy harvesting

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Published Papers (2 papers)

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Research

14 pages, 2985 KiB  
Article
Adaptive Trajectories’ Constant False Alarm Rate Mirror Filters and Elevation Angle Evaluation for Multiple-Input Multiple-Output Radar-Based Hand Gesture Recognition
by Tzu-Jung Tseng and Jian-Jiun Ding
Electronics 2024, 13(4), 682; https://doi.org/10.3390/electronics13040682 - 7 Feb 2024
Viewed by 950
Abstract
Gesture recognition technology has been quickly developed in the field of human–computer interaction. The multiple-input multiple-output (MIMO) radar is popular in gesture recognition because of its notable spatial resolution. This work proposes a MIMO radar-based hand gesture recognition algorithm with low complexity. We [...] Read more.
Gesture recognition technology has been quickly developed in the field of human–computer interaction. The multiple-input multiple-output (MIMO) radar is popular in gesture recognition because of its notable spatial resolution. This work proposes a MIMO radar-based hand gesture recognition algorithm with low complexity. We leverage low-complexity adaptive signal processing to extract trajectory information and minimize noise to create a system that can be applied in real-world applications with small training datasets. First, a spectrum analysis is utilized on range-Doppler maps (RDMs), and a cell-averaging constant false alarm rate (CA-CFAR) with mirror filters is applied to improve the robustness of noise. Then, the features related to the distance, speed, direction, and elevation angle of the moving object are determined using the proposed adaptive signal analysis techniques. For classification, the random forest algorithm is implemented. The proposed system can precisely distinguish and identify eight gestures, including waving, moving to the left or right, patting, pushing, pulling, and rotating clockwise or anti-clockwise, with an accuracy of 95%. Experiments demonstrate the capability of the proposed hand gesture recognition system to classify different movements precisely. Full article
(This article belongs to the Special Issue Artificial Intelligence Chip and Advanced Integrated Circuit Design)
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26 pages, 13125 KiB  
Article
High Step-Up Converter
by Kuo-Ing Hwu and Pei-Ching Tseng
Electronics 2023, 12(19), 4000; https://doi.org/10.3390/electronics12194000 - 22 Sep 2023
Cited by 1 | Viewed by 952
Abstract
A new high-boost converter derived from a charge-pump capacitor-based dual-boost converter is presented herein. Compared with the existing charge-pump capacitor-based dual-boost inductor converter, this structure adds an additional voltage-doubling circuit and additional coil to the original circuit to increase the voltage conversion ratio [...] Read more.
A new high-boost converter derived from a charge-pump capacitor-based dual-boost converter is presented herein. Compared with the existing charge-pump capacitor-based dual-boost inductor converter, this structure adds an additional voltage-doubling circuit and additional coil to the original circuit to increase the voltage conversion ratio and winds the three coils around the same magnetic element. By this way, the overall size of the circuit can be reduced, and the leakage energy of the coupled inductor can be recovered. In this paper, the proposed new high-boost converter is firstly explained and analyzed, followed by simulations to demonstrate the feasibility of the proposed circuit and finally the experimental results to verify its effectiveness. Full article
(This article belongs to the Special Issue Artificial Intelligence Chip and Advanced Integrated Circuit Design)
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