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Micromachines
Special Issues
Circuits, Systems, and Artificial Intelligence for Micromachined Applications
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Circuits, Systems, and Artificial Intelligence for Micromachined Applications

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E：Engineering and Technology".

Deadline for manuscript submissions: closed (1 October 2022) | Viewed by 12086

Special Issue Editor

Dr. Cihun-Siyong Gong

E-Mail Website
Guest Editor
1. Department of Electrical Engineering, College of Engineering, Chang Gung University, Taoyuan 33302, Taiwan
2. Department of Neurosurgery, Linkou Chang Gung Memorial Hospital, Taoyuan 33302, Taiwan
Interests: biomedical engineering; circuits and systems; sensors and transducers; vision; instrumentation and measurement
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Micromachining has been widely used in many remote sensing applications involved in biomedical, automotive, geophysics, and smart transportation fields, among others. It is an outcome of multidisciplinary collaborations between engineering and the sciences. This Special Issue aims to present the most recent advances and review surveys in the fields, with particular emphasis on integration between circuits, systems, and artificial intelligence.

Topics may include but are not limited to:

  1. Energy-harvesting-based sensing technologies;
  2. Circuits and systems for energy harvesting;
  3. Telemetry of energy harvesting;
  4. Sensors in energy harvesting;
  5. Advanced energy-harvesting systems for sensing;
  6. Unmet need of sensors and/or sensing applied to energy harvesting;
  7. Integration between micromachined sensing components and front-end circuits;
  8. Wirelessly powered readout circuits and systems for miniaturized micromachined sensors;
  9. Analog front ends for miniaturized micromachined sensing;
  10. Smart rechargeable battery techniques integrated with miniaturized micromachined applications;
  11. AI-based diagnosis towards mechanical integrity.

Dr. Cihun-Siyong (Alex) Gong
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • circuits
  • systems
  • micromachines
  • sensor
  • energy harvesting
  • wirelessly powered
  • smart sensing
  • miniaturization

Published Papers (4 papers)

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Research

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18 pages, 13214 KiB  
Article
Dynamic Analysis and Path Planning of a Turtle-Inspired Amphibious Spherical Robot
by Liang Zheng, You Tang, Shuxiang Guo, Yuke Ma and Lijin Deng
Micromachines 2022, 13(12), 2130; https://doi.org/10.3390/mi13122130 - 01 Dec 2022
Cited by 6 | Viewed by 1376
Abstract
A dynamic path-planning algorithm based on a general constrained optimization problem (GCOP) model and a sequential quadratic programming (SQP) method with sensor input is proposed in this paper. In an unknown underwater space, the turtle-inspired amphibious spherical robot (ASR) can realise the path-planning [...] Read more.
A dynamic path-planning algorithm based on a general constrained optimization problem (GCOP) model and a sequential quadratic programming (SQP) method with sensor input is proposed in this paper. In an unknown underwater space, the turtle-inspired amphibious spherical robot (ASR) can realise the path-planning control movement and achieve collision avoidance. Due to the special underwater environments, thrusters and diamond parallel legs (DPLs) are installed in the lower hemisphere to realise accurate motion control. A propulsion model for a novel water-jet thruster based on experimental analysis and a modified Denavit–Hartenberg (MDH) algorithm are developed for multiple degrees of freedom (MDOF) to realize high-precision and high-speed motion control. Simulations and experiments verify that the effectiveness of the GCOP and SQP algorithms can realize reasonable path planning and make it possible to improve the flexibility of underwater movement with a small estimation error. Full article
(This article belongs to the Special Issue Circuits, Systems, and Artificial Intelligence for Micromachined Applications)
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11 pages, 2481 KiB  
Article
A Novel Modulation and Demodulation Method Based on Binary Frequency Shift Keying for Wireless Power and Data-Parallel Transmission
by Peizhou Liu, Tiande Gao, Ruixuan Zhao, Zhaoyong Mao and Quanzhe Zhu
Micromachines 2022, 13(9), 1381; https://doi.org/10.3390/mi13091381 - 24 Aug 2022
Cited by 3 | Viewed by 1741
Abstract
It is usually necessary but difficult to achieve reliable communication between the primary side and pick-up side in the wireless power transfer (WPT) system due to magnetic interferences. In this paper, a novel parallel transmission method for wireless power and data is proposed, [...] Read more.
It is usually necessary but difficult to achieve reliable communication between the primary side and pick-up side in the wireless power transfer (WPT) system due to magnetic interferences. In this paper, a novel parallel transmission method for wireless power and data is proposed, which is based on the frequency shift keying (FSK) modulation and demodulation. The data are transmitted by changing the working frequency of the inverter and then demodulated based on the phase-locked loop (PLL) technology. In this way, the signal before the rectifier circuit for the data demodulation can overcome the influence of power transmission on the data transmission. Finally, a 426 W prototype has been built to verify the effectiveness of the proposed transmission method. The experimental results showed that when the output power changed from tens of watts to hundreds of watts, the data transmission was capable of achieving a stable transmission with a 10 kbps baud rate. Full article
(This article belongs to the Special Issue Circuits, Systems, and Artificial Intelligence for Micromachined Applications)
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Review

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28 pages, 16269 KiB  
Review
How to Implement Automotive Fault Diagnosis Using Artificial Intelligence Scheme
by Cihun-Siyong Alex Gong, Chih-Hui Simon Su, Yu-Hua Chen and De-Yu Guu
Micromachines 2022, 13(9), 1380; https://doi.org/10.3390/mi13091380 - 24 Aug 2022
Cited by 2 | Viewed by 5915
Abstract
The necessity of vehicle fault detection and diagnosis (VFDD) is one of the main goals and demands of the Internet of Vehicles (IoV) in autonomous applications. This paper integrates various machine learning algorithms, which are applied to the failure prediction and warning of [...] Read more.
The necessity of vehicle fault detection and diagnosis (VFDD) is one of the main goals and demands of the Internet of Vehicles (IoV) in autonomous applications. This paper integrates various machine learning algorithms, which are applied to the failure prediction and warning of various types of vehicles, such as the vehicle transmission system, abnormal engine operation, and tire condition prediction. This paper first discusses the three main AI algorithms, such as supervised learning, unsupervised learning, and reinforcement learning, and compares the advantages and disadvantages of each algorithm in the application of system prediction. In the second part, we summarize which artificial intelligence algorithm architectures are suitable for each system failure condition. According to the fault status of different vehicles, it is necessary to carry out the evaluation of the digital filtering process. At the same time, it is necessary to preconstruct its model analysis and adjust the parameter attributes, types, and number of samples of various vehicle prediction models according to the analysis results, followed by optimization to obtain various vehicle models. Finally, through a cross-comparison and sorting, the artificial intelligence failure prediction models can be obtained, which can correspond to the failure status of a certain car model and a certain system, thereby realizing a most appropriate AI model for a specific application. Full article
(This article belongs to the Special Issue Circuits, Systems, and Artificial Intelligence for Micromachined Applications)
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19 pages, 3357 KiB  
Review
IC-Based Rectification Circuit Techniques for Biomedical Energy-Harvesting Applications
by Cihun-Siyong Alex Gong
Micromachines 2022, 13(3), 411; https://doi.org/10.3390/mi13030411 - 05 Mar 2022
Cited by 3 | Viewed by 2437
Abstract
Energy harvesting can be achieved through many different mechanisms. Such technology has been drawing researchers’ attention to its practical applications for a decade, as it can be widely applied to countless scenarios. It steals the show in the modern development of the biomedical [...] Read more.
Energy harvesting can be achieved through many different mechanisms. Such technology has been drawing researchers’ attention to its practical applications for a decade, as it can be widely applied to countless scenarios. It steals the show in the modern development of the biomedical electronics, especially implantable applications, as it allows the patients to move freely without restriction. To prolong lifetime of the battery inside/outside a patient’s body, the electrical conversion efficiency of the electronic implant is of primary importance in energy harvesting. The conversion can be achieved by a so-called miniaturized rectification circuit (also known as “rectifier”). This study aims to compare different state-of-the-art techniques focusing on the conversion efficiency of the rectification. Particular emphasis is put on semiconductor-based circuits capable of being integrated with tiny chips on the implants. Full article
(This article belongs to the Special Issue Circuits, Systems, and Artificial Intelligence for Micromachined Applications)
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