Uncertain Method for Optimal Control Problems With Uncertainties Using Chebyshev Inclusion Functions

Razmjooy, Navid; Ramezani, Maryam

doi:10.1002/asjc.1777

Cited by 11 publications

(4 citation statements)

References 30 publications

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“…The width of the interval number (x w ), the radius (x r ), and mid-point value (x c ) of an interval integer X is obtained by the following formulas [31,32].…”

Section: Interval Analysismentioning

confidence: 99%

A robust method for skin cancer diagnosis based on interval analysis

et al. 2020

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Early diagnosis of skin cancer from dermoscopy images significantly reduces the mortality due to this cancer. However, several reasons impact the system diagnosis precision. One of the important problems in this process happens during image acquisition. Often, in medical photography, there are some uncertainties like noises and brightness variations, initial digitalization and sampling which affect the image quality. This study presents a new approach for border detection of the cancer area by considering the uncertainties. Interval analysis is utilized to extend the proposed edge detection method and the Hukuhara method is utilized for developing the differentiation formula for edge detection in the interval space. Simulation results are applied to two different skin cancer atlas and the results are compared with three popular methods by considering two types of noises including Gaussian noise and salt-and-pepper noise. The results showed that the introduced method gives better results than the compared methods.

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“…The width of the interval number (x w ), the radius (x r ), and mid-point value (x c ) of an interval integer X is obtained by the following formulas [31,32].…”

Section: Interval Analysismentioning

confidence: 99%

A robust method for skin cancer diagnosis based on interval analysis

et al. 2020

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“…The control method of general home audio systems is mainly via a mechanical button. Regarding the control methods, previous studies mentioned some methods and mathematical solutions to solve the optimal control problems with uncertainties [8,9].…”

Section: Introduction 1smart Speakers and Home Audio Systemsmentioning

confidence: 99%

Applying Affordance Factor Analysis for Smart Home Speakers in Different Age Groups: A Case Study Approach

Wong

Hsu

et al. 2022

Sustainability

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Many people use smart speakers at home nowadays for various reasons, such as playing music, checking news and weather, setting timers/alarms, etc. However, before smart speakers were created and available on the market, people used to have home audio systems for similar applications. Nonetheless, the control systems of smart speakers have many different appearances. Affordance is the information given by an object, which is determined by its appearance and supplies clues about its appropriate operation. Therefore, smart speakers should have affordances. Since smart speakers are the main device in the sustainable lifestyle of human beings in smart homes, this study analyzed the affordances of its appearance affect people and the result is essential to the sustainability of smart home. The present study presents a review of the smart speakers in Taiwan, focusing on the four main affordances (physical, cognitive, sensory, functional) and three different age groups (60 participants) based on four appearance categories of smart speaker control, namely, mechanical button control, no-button–no-touch control, touchscreen control, and touch sensor control. By examining the comparison of three age groups, 18–24, 25–49 and 50+, the results of one-way ANOVA showed that the smart speakers with touchscreen control and touch sensor control had a significant difference (p < 0.01) in four main affordances among these three age groups. The smart speakers with mechanical button control and no-button–no-touch control had no significant difference (p > 0.01) in four main affordances among these three age groups. In conclusion, age-range and cultural group affect the affordance of smart home speakers.

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“…Moreover, the binaural digital filters have to meet the requirement of the real-time signal processing. The modification of the Butterworth filter was therefore proposed in [8], and the applications of the Chebyshev filter were presented in [9,10]. Instead of using bilinear transformation, Yao et al [11] investigated the positions of the poles in the s-plane and zeros in the z-plane.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Technology for 2.1 Channel Audio Systems

Yao¹,

Huang²

2022

Electronics

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During the COVID-19 pandemic, smart home requirements have shifted toward entertainment at home. The purpose of this research project was therefore to develop a robotic audio system for home automation. High-end audio systems normally refer to multichannel home theaters. Although multichannel audio systems enable people to enjoy surround sound as they do at the cinema, stereo audio systems have been popularly used since the 1980s. The major shortcoming of a stereo audio system is its narrow listening area. If listeners are out of the area, the system has difficulty providing a stable sound field. This is because of the head-shadow effect blocking the high-frequency sound. The proposed system, by integrating computer vision and robotics, can track the head movement of a user and adjust the directions of loudspeakers, thereby helping the sound wave travel through the air. Unlike previous studies, in which only a diminutive scenario was built, in this work, the idea was applied to a commercial 2.1 audio system, and listening tests were conducted. The theory and the simulation coincide with the experimental results. The approximate rate of audio quality improvement is 31%. The experimental results are encouraging, especially for high-pitched music.

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Uncertain Method for Optimal Control Problems With Uncertainties Using Chebyshev Inclusion Functions

Cited by 11 publications

References 30 publications

A robust method for skin cancer diagnosis based on interval analysis

A robust method for skin cancer diagnosis based on interval analysis

Applying Affordance Factor Analysis for Smart Home Speakers in Different Age Groups: A Case Study Approach

Autonomous Technology for 2.1 Channel Audio Systems

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