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Showing papers by "Nagoya Institute of Technology published in 2022"


Journal ArticleDOI
TL;DR: This article investigates the command filtered backstepping synchronization control (CFBSC) method for a servo system driven by two motors synchronously, and the effectiveness of the proposed controller is validated through experiments.
Abstract: In dual-motor servo systems, several factors seriously affect the tracking performance especially in high-speed and high-accuracy situations, which include machinery flexibilities, torque disturbance, unmodeled dynamics, and motor parameter differences. Given these factors, this article investigates the command filtered backstepping synchronization control (CFBSC) method for a servo system driven by two motors synchronously. Command filters are used to deal with the virtual control signals in backstepping design process to avoid the computational burden causing by repeated derivatives, and a compensation system is applied to reduce the tracking error. Adaptive control is used to compensate the torque disturbance and unmodeled dynamics. In addition, the speed and torque synchronization control signals are designed to guarantee high synchronization performance. The stability of the dual-motor servo system is proved. And the effectiveness of the proposed controller is validated through experiments.

33 citations


Journal ArticleDOI
TL;DR: In this article, a dual-phase TiZrNbHfTaO11 synthesized by a two-step high-pressure torsion mechanical alloying and high-temperature oxidation was examined for CO2 conversion.
Abstract: High-entropy oxides (HEOs), as a new family of materials with five or more principal cations, have shown promising properties for various applications. In this work and inspired by inherent defective and strained structure of HEOs, photocatalytic CO2 conversion is examined on a dual-phase TiZrNbHfTaO11 synthesized by a two-step high-pressure torsion mechanical alloying and high-temperature oxidation. The HEO, which had various structural defects, showed simultaneous photocatalytic activity for CO2 to CO and H2O to H2 conversion without the addition of a co-catalyst. The photocatalytic activity of this HEO for CO2 conversion was better than conventional photocatalysts such as anatase TiO2 and BiVO4 and similar to P25 TiO2. The high activity of HEO was discussed in terms of lattice defects, lattice strain, light absorbance, band structure, photocurrent generation and charge carrier mobility to activation centers. The current study confirms the high potential of HEOs as a new family of photocatalysts for CO2 conversion.

27 citations


Journal ArticleDOI
TL;DR: In this paper , the authors proposed a method to obtain a combination of type-II structure and Ohmic contact by the fabrication of WO3/Ti-WOx/TiHyOz homo/heterojunction on a WO 3 photocatalyst using ball milling.

15 citations



Journal ArticleDOI
TL;DR: In this paper , a novel temperature modulation based on heater voltage, which amplitude and frequency periodically change, was proposed to obtain responses under various temperatures and frequencies at one time, which caused the hysteresis characteristic to the gas species in the timedependent response.
Abstract: A portable electronic nose (e-nose) with miniature size and low-power consumption allows us to utilize the information of smells, greatly contributing to industry and daily life. In order to realize such a miniature and low-power e-nose, acquiring the data including plenty of information of gas species or smells with a reduced number of sensor elements is required. For this issue, this study proposes novel temperature modulation based on heater voltage, which amplitude and frequency periodically change. We first conducted gas discrimination tests based on the data obtained from a single gas sensor. The proposed method enabled to obtain responses under various temperatures and frequencies at one time. Furthermore, the periodical changes in amplitude and frequency caused the hysteresis characteristic to the gas species in the time-dependent response. Based on principal component analysis, we confirmed the improvement in the gas discrimination performance compared with that by conventional temperature modulation with sinusoidal heater voltage. Gas discrimination using machine learning algorithms was also carried out. The discrimination accuracy was revealed to increase with the dimensions of the principal component, reaching 98.8% at the maximum. Consequently, the promising properties of the proposed temperature modulation for obtaining enhanced information of gas species are demonstrated. • Novel temperature modulation inspired by radiocommunication technology was proposed. • Sensor responses including plentiful information of gas species were obtained. • Eight kinds of gases were successfully discriminated by machine learning.

10 citations


Journal ArticleDOI
TL;DR: In this article , the homology intersection form associated to regular holonomic GKZ systems was described in terms of the combinatorics of regular triangulations and the twisted period relation.

8 citations


Journal ArticleDOI
TL;DR: In this article, a pre-registered study investigated the relationship between the traits of the HEXACO and Dark Triad personality models and the frequency of altruistic behaviors measured by the SRAS-DR.

7 citations


Journal ArticleDOI
TL;DR: In this article , surface-enhanced Raman scattering (SERS) spectra for various metal surfaces are measured with and without excitation of plasmonic resonances in the wide frequency ranges covering both Stokes and anti-Stokes branches, including very low frequency region.
Abstract: Surface-enhanced Raman scattering (SERS) has been extensively used to obtain vibrational information at metal/dielectric interfaces because of its extremely high chemical sensitivity and surface selectivity. Since the discovery of this effect in 1970s, however, the origin of the spectral background has remained questionable. Because the “background” signals dominate in the low-frequency region, it is necessary to deeply understand this phenomenon for analyzing SERS spectra properly in the wide spectral range. Herein, scattering spectra for various metal surfaces are measured with and without excitation of plasmonic resonances in the wide frequency ranges covering both Stokes and anti-Stokes branches, including very low-frequency region. The comparison of the spectra between smooth surfaces and plasmonic rough surfaces of Au, Ag, and Pt and the theoretical evaluation of local fields at the metal/air interfaces indicate that electronic Raman scattering accounts for the background continuum in SERS spectra. This is also confirmed by the comparison of the spectra with and without ultrathin Ag films on a same Au surface. An analytical method of SERS spectra is demonstrated in which both contributions of electronic Raman scattering and vibrational Raman scattering are considered.

6 citations



Journal ArticleDOI
TL;DR: In this paper , a method to investigate the local ion flux using the non-equilibrium molecular dynamics (NEMD) is proposed, and it is demonstrated that the atomistic origin of the GB resistance in NASICON-type LiZr2(PO4)3 is clarified by local ion-flux analysis of poly-crystalline system containing over half-million atoms in combination with Li-ion site potential energy analysis.

4 citations


Journal ArticleDOI
TL;DR: In this article , the authors provide a comprehensive analysis of three major DSP-enhanced radio-over-fiber (RoF) techniques, namely, DSPbased intermediate-frequency over fiber, analog-to-digital compression RoF, and delta-sigma RoF.
Abstract: Wired-wireless convergence is considered one of the most promising concepts for the access networks in the upcoming beyond-5G era, a notable example being the radio-over-fiber (RoF) technology that delivers broadband wireless data from/to the edge cloud to/from the antenna sites seamlessly. For future radio access, the capacity, latency, and fidelity requirements pose great challenges to the RoF schemes. With the advances of field-programmable gate arrays, application specific integrated circuits, and high-speed data converters, in recent years, digital signal processing (DSP) has been able to play an increasingly important role in RoF system/processing. Such an analog-digital coordinated scheme, namely, DSP-enhanced RoF, has merits in flexibility, parallelized processing capability, and robustness. This paper aims to provide comprehensive analysis of three major DSP-enhanced RoF techniques, namely, DSP-based intermediate-frequency over fiber, analog-to-digital compression RoF, and delta-sigma RoF. Besides performance, quantitative and qualitative analysis will be presented on latency, power consumption, and system complexity, attributes that are important in practice. In addition, we will discuss the challenges to and opportunities for future research.

Journal ArticleDOI
TL;DR: In this article , the authors performed quantitative-PCR-based assays for liver tissues of children with BA and other diseases, and found that maternal cells were detected in 4/13 and 1/3 of the BA and control groups, respectively.
Abstract: Biliary atresia (BA) is a rare disorder of unknown etiology. There is a debate as to whether maternal microchimerism plays a significant role in the development of BA or in graft tolerance after liver transplantation. Here, we performed quantitative-PCR-based assays for liver tissues of children with BA and other diseases. Maternal cells were detected in 4/13 and 1/3 of the BA and control groups, respectively. The estimated number of maternal cells ranged between 0 and 34.7 per 106 total cells. The frequency and severity of maternal microchimerism were similar between the BA and control groups, and between patients with and without acute rejection of maternal grafts. These results highlight the high frequency of maternal microchimerism in the liver. This study provides no evidence for roles of microchimerism in the etiology of BA or in graft tolerance. Thus, the biological consequences of maternal microchimerism need to be clarified in future studies.

Journal ArticleDOI
TL;DR: In this article , the density functional theory (DFT) calculation clarified the stereochemical outcome and importance of the N-cyano group for imines and showed that imines bearing a cyano group as an activating group gave chiral cyanamide derivatives with high enantioselectivity.

Journal ArticleDOI
TL;DR: In this article , a universal myristoyl-d-cys-tethered trimethoprim (mDcTMP) ligand was used for protein translocation to the plasma membrane.
Abstract: Chemogenetic methods enabling the rapid translocation of specific proteins to the plasma membrane (PM) in a single protein-single ligand manner are useful tools in cell biology. We recently developed a technique, in which proteins fused to an Escherichia coli dihydrofolate reductase (eDHFR) variant carrying N-terminal hexalysine residues are recruited from the cytoplasm to the PM using the synthetic myristoyl-d-Cys-tethered trimethoprim (mDcTMP) ligand. However, this system achieved PM-specific translocation only when the eDHFR tag was fused to the N terminus of proteins, thereby limiting its application. In this report, we engineered a universal PM-targeting tag for mDcTMP-induced protein translocation by grafting the hexalysine motif into an intra-loop region of eDHFR. We demonstrate the broad applicability of the new loop-engineered eDHFR tag and mDcTMP pair for conditional PM recruitment and activation of various tag-fused signaling proteins with different fusion configurations and for reversibly and repeatedly controlling protein localization to generate synthetic signal oscillations.

Journal ArticleDOI
TL;DR: In this article , the internal stress under 150 N load (y-direction) in the auxetic 2D-structure is simulated using finite element methods, and stress-optical measurements with polarized light verify the simulated stress distribution corresponding to pseudo-piezoelectric excitation.
Abstract: The internal stress (compression/tension) under 150 N load (y-direction) in the auxetic 2D-structure is simulated using finite element methods. Stress-optical measurements with polarized light verify the simulated stress distribution corresponding to pseudo-piezoelectric excitation. Further details can be found in article number 2100536 by Tobias Fey and co-workers.

Journal ArticleDOI
TL;DR: In this article , a strong elastic hydrogel electrolyte (PANa-LDH) with high ionic conductivity was used to construct a solid-state battery with a specific capacity of 287 mAh g −1 with high energy and power densities of 212 Wh kg −1 and 73 kW kg−1.
Abstract: Zinc-based batteries have attracted attention for their safety in aqueous electrolytes with low cost, environmental friendliness, and high capacity. In this study, layered double hydroxide, a solid-state OH − ion conductor, was hybridized with sodium polyacrylate hydrogel to construct a strong elastic hydrogel electrolyte (PANa-LDH) with high OH − ion conductivity. PANa-LDH, KOH was introduced by dipping into 6.0 M KOH solution, showed a significantly high ionic conductivity of 0.213 S cm −1 at 30 °C. A solid-state battery was fabricated using nickel-cobalt hydroxide cathode, PANa-LDH electrolyte, and zinc anode. The high specific capacity of 287 mAh g −1 was obtained at 0.1 A g −1 with high energy and power densities of 212 Wh kg −1 and 73 kW kg −1 (based on the cathode weight), respectively.

Journal ArticleDOI
TL;DR: In this paper , the effect of SrO heterogeneous nucleation site particles on the formability, microstructure, and mechanical properties of additive manufactured 316 L (Fe-17%Cr-11%Ni-2%Mo) stainless steel samples produced by laser-based powder bed fusion has been investigated.



Journal ArticleDOI
TL;DR: In this paper , the authors provided evidence-based measures that used exact and reliable follow-up data of the PCR-positive COVID-19 cases to complement lockdowns and reduce adverse effects.
Abstract: Indiscriminate regional lockdowns aim to prevent the coronavirus disease 2019 (COVID-19) infection by restricting the movement of people; however, this comes with psychological, social, and economic costs. Measures are needed that complement lockdowns and reduce adverse effects. Epidemiological studies, to date, have identified high-risk populations, but not workplaces appropriate for closure. This study was conducted to provide evidence-based measures that used exact and reliable follow-up data of the PCR-positive COVID-19 cases to complement lockdowns. The data are not subjected to selection or follow-up biases, since the Japanese government, by law, must register and follow all the PCR-positive cases until either recovery or death. Direct customer exposure may affect the quantity of viral inoculum received, which, in turn, may affect the risk of the severity of disease at infection. Therefore, the professions of the cases were grouped according to their frequency of direct customer exposure (FDCE) based on subjective observations, which resulted in five workplaces; hospital, school, food service, outdoor service, and indoor office being identified. Analyzing the follow-up data, we obtained precise estimates for the risk of severe disease, defined as intensive care unit (ICU) hospitalization or death, for the workplaces adjusted for age, sex, family status, and comorbidity. Major findings are as follows: hospital and school are the lowest risk, food and outdoor services are, despite higher FDCE, safer than indoor office. Unemployed and unclear are the highest risk, despite low FDCE. These results suggest the following workplace-specific measures complementing the lockdown: school should not be closed and indiscriminate closing of food and outdoor service industries should be avoided, since it would be more effective to reinforce their efforts to promote adherence to public health guidelines among students and customers. These actions would also reduce the adverse effects of the lockdown. This study is the first to address the causality between the workplaces and severe disease. We introduce FDCE and adherence to public health guidelines (APHGs) to associate the workplace characteristics with the risk of COVID-19 severity, which provided the basis for the measures complementing lockdowns.

Journal ArticleDOI
TL;DR: In this paper , the authors conducted key informant interviews to better understand the impact of Project ECHO on health systems collaboration and opioid crisis efforts, including the need for strategic and proactive program reevaluation and the convenience of collaborative peer learning networks.
Abstract: Background: The opioid epidemic continues to erode communities across Pennsylvania (PA). Federal and PA state programs developed grants to establish Hub and Spoke programs for the expansion of medications for opioid use disorders (MOUD). Employing the telementoring platform Project ECHO (Extension for Community Health Outcomes), Penn State Health engaged the other seven grant awardees in a Collaborative Health Systems (CHS) ECHO. We conducted key informant interviews to better understand impact of the CHS ECHO on health systems collaboration and opioid crisis efforts. Methods: For eight one-hour sessions, each awardee presented their unique strategies, challenges, and opportunities. Using REDCap, program characteristics, such as number of waivered prescribers and number of patients served were collected at baseline. After completion of the sessions, key informant interviews were conducted to assess the impact of CHS ECHO on awardee's programs. Results: Analysis of key informant interviews revealed important themes to address opioid crisis efforts, including the need for strategic and proactive program reevaluation and the convenience of collaborative peer learning networks. Participants expressed benefits of the CHS ECHO including allowing space for discussion of challenges and best practices and facilitating conversation on collaborative targeted advocacy and systems-level improvements. Participants further reported bolstered motivation and confidence. Conclusions: Utilizing Project ECHO provided a bidirectional platform of learning and support that created important connections between institutions working to combat the opioid epidemic. CHS ECHO was a unique opportunity for productive and convenient peer learning across external partners. Open dialogue developed during CHS ECHO can continue to direct systems-levels improvements that benefit individual and population outcomes.

Journal ArticleDOI
TL;DR: The elastic properties and room-temperature aging behaviors of body-centered cubic Mg-40Li and Mg−40Li−5Al single crystals, developed for biodegradable orthopedic implants, were investigated by measuring their single-crystalline elastic constants.

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the effects of cosubstitution of Zn and Sb for Sn on the crystal structure and electrical conductivity of SnP2O7, Sn1−x(Zn2/3Sb1/3)

Journal ArticleDOI
TL;DR: In this article , the authors used X-ray fluorescence holography (XFH) to visualize the metal active site in sperm whale myoglobin (Mb), a monomeric oxygen storage heme protein.

Journal ArticleDOI
TL;DR: In this article , the temperature dependence of the aging effect of permittivity in the paraelectric phase of 70.5%Pb(Mg 1/3 Nb 2/3 ).
Abstract: Abstract The temperature dependence of the aging effect of permittivity in the paraelectric phase of 70.5%Pb(Mg 1/3 Nb 2/3 )O 3 –29.5%PbTiO 3 (PMN–29.5%PT) is investigated. Time dependences of permittivity due to the aging effect at constant temperatures without DC biasing field can be empirically analyzed with the Williams–Watts relaxation function. Using the distribution function of relaxation frequency for the Williams–Watts relaxation function, we discuss the temperature dependence of the characteristic time of the aging effect. We clarify that the distribution width of the characteristic time markedly increases with decreasing temperature.


Book ChapterDOI
23 Oct 2022
TL;DR: In this paper , the impact of artificial intelligence and supply chain resilience on the supply chain performance of engineering, electrical, and information technology companies registered with the Jordan Chamber of Industry was investigated.
Abstract: In light of the information revolution, this study aims to clarify the impact of artificial intelligence and supply chain resilience on the supply chain performance of engineering, electrical, and information technology companies registered with the Jordan Chamber of Industry. This study expands knowledge by exploring the relationships between artificial intelligence and the moderating supply chain dynamism. This study looks at artificial intelligence as an important resource, in addition to resilience supply chains, an important resource in raising the supply chain performance for companies. The questionnaire was conducted via e-mail and the study sample included (208) companies registered with the Jordanian Chamber of Industry and Commerce. The data was analyzed using the smart (Pls) software and its direct link with artificial intelligence and supply chain resilience. In addition, the analysis shows that there is a direct relationship between the mediating variables supply chain dynamism and supply chain resilience and supply chain performance. These results provide an insight into the relationship between artificial intelligence and supply chains, and the Moderating variable on the performance of a company's supply chains, which may be an entry point for companies to enhance their performance due to the importance of this sector to the Jordanian economy.

Posted ContentDOI
17 Sep 2022
TL;DR: In this article , the authors evaluated the effect of human behavior on COVID-19 vaccination effectiveness and found that the reduction of daily vaccination effectiveness was correlated with the number of tweets related to social gathering in Twitter.
Abstract: Abstract Variability of COVID-19 vaccination effectiveness (VE) should be assessed with a resolution of a few days assuming that VE is influenced by public behavior and social activity. Here the VE for the Omicron variants (BA.2 and BA.5) is numerically derived for Japan’s population for the second and third vaccination doses. We then evaluated the daily VE variation caused by our social behavior from the daily data reports for Tokyo. The vaccination effectiveness for Omicron variants (BA.1, BA.2, and BA.5) are derived from the data of Japan and Tokyo with a computational approach. In addition, the effect of different parameters regarding human behavior on VE is assessed using daily data in Tokyo. The individual VE for the Omicron BA.2 in Japan was 61% (95%CI: 57%–65%) for the vaccination second dose from our computation, whereas that for the third dose was 86% (95% CI: 84%–88%). The individual BA.5 VE for the second and third doses are 37% (95% CI: 33%–40%) and 63% (95% CI: 61%–65%). The reduction of daily VE from estimated value was close correlated to the number of tweets related to social gathering in Twitter. The number of tweets considered here would be one of new candidates for VE evaluation and surveillance affecting the viral transmission.


Journal ArticleDOI
TL;DR: In this paper , the effects of sample transparency on powder diffraction intensity data are examined using double convolutional formulas. But the model is based on the first-order approximation about the deviation angle and is not suitable for realistic measurement and computing systems.
Abstract: Exact and approximate mathematical models for the effects of sample transparency on the powder diffraction intensity data are examined. Application of the formula based on the first-order approximation about the deviation angle is justified for realistic measurement and computing systems. The effects of sample transparency are expressed by double convolution formulas applying two different scale transforms, including three parameters, goniometer radius R , penetration depth μ −1 , and thickness of the sample t . The deconvolutional treatment automatically recovers the lost intensity and corrects the peak shift and asymmetric deformation of peak profile caused by the sample transparency.