The purpose of this study is to develop and investigate a new rough clustering based on optimization. We propose a restructured algorithm using only one variable, instead of the algorithm described using two variables...
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ISBN:
(数字)9798350373332
ISBN:
(纸本)9798350373349
The purpose of this study is to develop and investigate a new rough clustering based on optimization. We propose a restructured algorithm using only one variable, instead of the algorithm described using two variables in existing methods. We also perform numerical examples using artificial data and the Iris and Wine datasets. This research has the potential to be used as a method for determining false negatives and false positives in cancer diagnosis.
We evaluated the nutritional composition and quantified the bioactive compounds present in the soursop pulp and peel and investigated the impact of in vitro simulated gastrointestinal digestion on antioxidants and phe...
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Research has been carried out to monitor vehicle tires before they are used and can reduce damage, including overcoming vehicle fuel waste because air pressure is continuously monitored. This research aims to utilize ...
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Spectral singularities (SSs) emerge at isolated real frequencies when the scattering coefficients of a system diverge, producing scattering anomalies in non-Hermitian systems. Here, based on parity-time symmetry, we i...
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Spectral singularities (SSs) emerge at isolated real frequencies when the scattering coefficients of a system diverge, producing scattering anomalies in non-Hermitian systems. Here, based on parity-time symmetry, we introduce SSs for evanescent waves, and explore their exotic features. We show that evanescent wave SSs can realize highly reconfigurable unidirectional lasers and absorbers, and offer the opportunity to observe extreme scattering anomalies associated with SSs in fully passive platforms, decoupling their extreme scattering responses from energy considerations. More broadly, our study opens avenues for non-Hermitian wave engineering, showcasing a link between non-Hermitian physics and structured waves, with implications in nano-optics for extreme wave-matter interactions and functional devices.
This paper presents an off-board charger system for any electric vehicle based on a single-stage power converter operation that performs as a three-phase pulse width modulation rectifier. To enhance the safety issue b...
This paper presents an off-board charger system for any electric vehicle based on a single-stage power converter operation that performs as a three-phase pulse width modulation rectifier. To enhance the safety issue by itself, a step-down transformer with galvanic isolation is added. Additionally, the off-board charger system allows bidirectional power flow in both grid-to-vehicle (G2V) and vehicle-to-grid operations. To analyze this system, only G2V operation is shown by comparing a two-level power converter charger with a three-level neutral point clamped power converter charger. In light of its controller, the off-board charger is designed to charge a battery in constant current and constant voltage mode in compliance with Level 2 of charging power. Based on this controller, it can support grid power quality under a unity power factor. Simulation-based verification is conducted on a maximum power rating of 22 kW to claim the performance of steady-state operation and dynamic operation.
We measured the $${\varvec{\mu }}^{\varvec{+}}$$ SR Knight shift in the hole-doped organic metal $$\varvec{\kappa }$$ -(ET) $$_{\varvec{4}}$$ Hg $$_{\varvec{3-\delta }}$$ Cl $$_{\varvec{8}}$$ , $$\varvec{\delta }$$ =2...
We measured the $${\varvec{\mu }}^{\varvec{+}}$$ SR Knight shift in the hole-doped organic metal $$\varvec{\kappa }$$ -(ET) $$_{\varvec{4}}$$ Hg $$_{\varvec{3-\delta }}$$ Cl $$_{\varvec{8}}$$ , $$\varvec{\delta }$$ =22%, and re-analyzed temperature dependence of $${\varvec{\mu }}^{\varvec{+}}$$ SR Knight shift of the isostructural compound $$\varvec{\kappa }$$ -(ET) $$_{\varvec{4}}$$ Hg $$_{\varvec{3-\delta }}$$ Br $$_{\varvec{8}}$$ , $$\varvec{\delta }$$ =11%. The former underwent insulating and the latter has superconducting ground state. By lowering temperature the Knight shift gradually increased and was almost unchanged for $$\varvec{\kappa }$$ -HgCl and $$\varvec{\kappa }$$ -HgBr metals, respectively. We found a prominent deviation from linearity in the $$\varvec{K(\chi )}$$ plot of $$\varvec{\kappa }$$ -HgCl below 100 K whereas the result of reanalysis of $$\varvec{\kappa }$$ -HgBr shows there is almost no linearity of the $$\varvec{K(\chi )}$$ plot, although the absolute value of the $$\varvec{{\mu }}^{\varvec{+}}$$ Knight shift $$\varvec{K}$$ is comparable with that of $$\varvec{\kappa }$$ -HgCl at low-temperature. The hyperfine coupling constant of $$\varvec{\kappa }$$ -HgCl was estimated as $$\varvec{A}_{\varvec{hf}}(\varvec{\kappa }$$ -HgCl) = 282 Oe/ $$\varvec{\mu }_{\varvec{B}}$$ . This value is comparable with our calculation assuming a point dipole between muon site, determined by the electronic potential calculation using density functional theory, and the localized spin at the Cl site. In consideration of both samples being in the vicinity of same quantum criticality, the muon Knight shift is more sensitive to the insulating sample with enhanced antiferromagnetic fluctuations. We discuss the relation between enhanced antiferromagnetic spin fluctuations, Non-Fermi liquidity, and superconductivity in these systems.
Adaptive filtering plays an essential role in digital signal processing (DSP), being present in many application fields such as noise reduction, telecommunication, and audio signal processing. Notably, the least mean ...
Adaptive filtering plays an essential role in digital signal processing (DSP), being present in many application fields such as noise reduction, telecommunication, and audio signal processing. Notably, the least mean square (LMS) and its normalized version (NLMS) are the most used algorithms due to their simplicity and robustness, which turn them attractive to hardware solutions. This work proposes architectural solutions for LMS and NLMS algorithms targeting an energy-efficient VLSI design. We explore fully sequential, fully parallel, and semi-parallel architectures reusing the hardware as much as possible for both algorithms. It allows for investigating the number of steps necessary for each architecture, demonstrating the energy per operation, circuit area, and throughput savings. The synthesis results highlight the semi-parallel architectures LMS-2 steps and NLMS-3 steps have the best trade-off energy-speed. In addition, we proved the architecture’s energy efficiency in a harmonic canceling case study, achieving more than 60% in energy savings using both filters.
This paper presents a pose synchronization method for semi-autonomous dynamic robotic swarms with a passivityshort human operator. In the human-robot network, a human operator sends a command signal to and receives vi...
This paper presents a pose synchronization method for semi-autonomous dynamic robotic swarms with a passivityshort human operator. In the human-robot network, a human operator sends a command signal to and receives visual information from only a part of the robotic group. In this setting, the proposed dynamic control scheme achieves not only pose synchronization of all mobile robots but also convergence to the reference pose that the human operator specifies. The main advantage of the proposed method is to guarantee convergence of not only the position but also the orientation to the reference ones in the human-robot network. Finally, we provide human-in-the-loop simulation results through the human operation using a tablet PC to illustrate the performance of the proposed control method.
Bakanae disease,caused by Fusarium fujikuroi,poses a significant threat to rice production and has been observed in most rice-growing *** disease symptoms caused by different pathogens may vary,including elongated and...
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Bakanae disease,caused by Fusarium fujikuroi,poses a significant threat to rice production and has been observed in most rice-growing *** disease symptoms caused by different pathogens may vary,including elongated and weak stems,slender and yellow leaves,and dwarfism,as *** disease is likely to cause necrosis of diseased seedlings,and it may cause a large area of infection in the field through the transmission of ***,early disease surveillance plays a crucial role in securing rice *** monitoring methods are both time-consuming and labor-intensive and cannot be broadly *** this study,a combination of hyperspectral imaging technology and deep learning algorithms were used to achieve in situ detection of rice seedlings infected with bakanae *** data were obtained on the 9th,15th,and 21st day after rice infection to explore the physiological and biochemical performance,which helps to deepen the research on the disease *** data were obtained over these same periods of infection,and a deep learning model,named Rice Bakanae Disease-Visual Geometry Group(RBD-VGG),was established by leveraging hyperspectral imaging technology and deep learning *** on this model,an average accuracy of 92.2%was achieved on the 21st day of *** also achieved an accuracy of 79.4%as early as the 9th *** characteristic wavelengths were extracted to increase the feasibility of using portable spectral equipment for field ***,the model offers an efficient and non-destructive surveillance methodology for monitoring bakanae disease,thereby providing an efficient avenue for disease prevention and control.
Understanding the workings of anaerobic digestion in the production of biogas from carbon waste has been an issue for many scientists. Recently, advancement in techniques finally paved the way in providing a solution ...
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