Differential Coded Multiple Signaling Method With Fully Differential Receiver for Mutual Capacitive Fingerprint TSP

Heo, Su-Jeong; Park, Kyeongmin; Choi, Eun-Ho; Bien, Franklin

doi:10.1109/tcsi.2019.2948119

Cited by 12 publications

(9 citation statements)

References 19 publications

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“…Another important constraint is that the aircraft would have to take off and land at the same point in practical operation. Therefore, this problem can be transformed into a tsp [28][29][30]. the specific treatment is as follows.…”

Section: Path Directionmentioning

confidence: 99%

Global Optimization of UAV Area Coverage Path Planning Based on Good Point Set and Genetic Algorithm

et al. 2022

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When performing area coverage tasks in some special scenarios, fixed-wing aircraft conventionally adopt the scan-type of path planning, where the distance between two adjacent tracks is usually less than the minimum turning radius of the aircraft. This results in increased energy consumption during turning between adjacent tracks, which means a reduced task execution efficiency. To address this problem, the current paper proposes an area coverage path planning method for a fixed-wing unmanned aerial vehicle (UAV) based on an improved genetic algorithm. The algorithm improves the primary population generation of the traditional genetic algorithm, with the help of better crossover operator and mutation operator for the genetic operation. More specifically, the good point set algorithm (GPSA) is first used to generate a primary population that has a more uniform distribution than that of the random algorithm. Then, the heuristic crossover operator and the random interval inverse mutation operator are employed to reduce the risk of local optimization. The proposed algorithm is verified in tasks with different numbers of paths. A comparison with the conventional genetic algorithm (GA) shows that our algorithm can converge to a better solution.

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Section: Path Directionmentioning

confidence: 99%

Global Optimization of UAV Area Coverage Path Planning Based on Good Point Set and Genetic Algorithm

et al. 2022

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“…A touch causes the electrode capacitance to increase, as the human body ‘adds’ capacitance to that of the system [ 15 ]. Mutual capacitance is the intentional or unintentional capacitance between two ‘charge holding objects’ [ 16 ]. Projected capacitance touch sensors intentionally create mutual capacitance between elements of columns and rows in the vicinity where each intersects the other.…”

Section: Working Principles Of Touch Sensorsmentioning

confidence: 99%

Flexible wearable sensors - an update in view of touch-sensing

Kim

2021

Science and Technology of Advanced Materials

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Nowadays, much of user interface is based on touch and the touch sensors have been common for displays, Internet of things (IoT) projects, or robotics. They can be found in lamps, touch screens of smartphones, or other wide arrays of applications as well. However, the conventional touch sensors, fabricated from rigid materials, are bulky, inflexible, hard, and hard-to-wear devices. The current IoT trend has made these touch sensors increasingly important when it added in the skin or clothing to affect different aspects of human life flexibly and comfortably. The paper provides an overview of the recent developments in this field. We discuss exciting advances in materials, fabrications, enhancements, and applications of flexible wearable sensors under view of touch-sensing. Therein, the review describes the theoretical principles of touch sensors, including resistive, capacitive, and piezoelectric types. Following that, the conventional and novel materials, as well as manufacturing technologies of flexible sensors are considered to. Especially, this review highlights the multidisciplinary approaches such as e -skins, e -textiles, e -healthcare, and e -control of flexible touch sensors. Finally, we summarize the challenges and opportunities that use is key to widespread development and adoption for future research.

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“…However, depending on the code, the output signal may be saturated to output range. To prevent this from occurring, efficient orthogonal code was proposed [ 27 , 37 , 38 , 39 , 40 , 41 ]. As an additional problem, if the same code is repeatedly used for PDM, energy is concentrated at a specific frequency, and therefore, it may not be able to remove random noise along with the EMI problem properly.…”

Section: Technical Issues Of the Capacitive Sensor Readout Systemmentioning

confidence: 99%

“…Depending on the code, the output signal may become saturated beyond the output range as the signals for several sensors overlap. A more efficient orthogonal code was proposed [ 27 , 37 , 38 , 39 , 40 , 41 ]. PDM method may not be able to properly remove random noise along with the EMI problem if the same code is repeatedly used and concentrated at a specific frequency.…”

Section: Technical Issues Of the Capacitive Sensor Readout Systemmentioning

confidence: 99%

Readout Circuits for Capacitive Sensors

Yoo

Choi

2021

Micromachines

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The development of microelectromechanical system (MEMS) processes enables the integration of capacitive sensors into silicon integrated circuits. These sensors have been gaining considerable attention as a solution for mobile and internet of things (IoT) devices because of their low power consumption. In this study, we introduce the operating principle of representative capacitive sensors and discuss the major technical challenges, solutions, and future tasks for a capacitive readout system. The signal-to-noise ratio (SNR) is the most important performance parameter for a sensor system that measures changes in physical quantities; in addition, power consumption is another important factor because of the characteristics of mobile and IoT devices. Signal power degradation and noise, which degrade the SNR in the sensor readout system, are analyzed; circuit design approaches for degradation prevention are discussed. Further, we discuss the previous efforts and existing studies that focus on low power consumption. We present detailed circuit techniques and illustrate their effectiveness in suppressing signal power degradation and achieving lower noise levels via application to a design example of an actual MEMS microphone readout system.

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Differential Coded Multiple Signaling Method With Fully Differential Receiver for Mutual Capacitive Fingerprint TSP

Cited by 12 publications

References 19 publications

Global Optimization of UAV Area Coverage Path Planning Based on Good Point Set and Genetic Algorithm

Global Optimization of UAV Area Coverage Path Planning Based on Good Point Set and Genetic Algorithm

Flexible wearable sensors - an update in view of touch-sensing

Readout Circuits for Capacitive Sensors

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