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379 results on '"Ito, Kotaro"'

6. Influence of self-disassembly of bridges on collective flow characteristics of swarm robots in a single-lane and periodic system with a gap

Author

Ito, Kotaro and Nishi, Ryosuke

Subjects
Physics - Physics and Society
Abstract

Inspired by the living bridges formed by ants, swarm robots have been developed to self-assemble bridges to span gaps and self-disassemble them. Self-disassembly of bridges (SDB) may increase the transport efficiency of swarm robots by increasing the number of moving robots, and also may decrease the efficiency by causing gaps to reappear. Our aim is to elucidate the influence of SDB on the collective flow characteristics of swarm robots in a single-lane and periodic system with a gap. In the system, robots span and cross the gap by self-assembling a single-layer bridge. We consider two scenarios in which SDB is prevented (prevent-scenario) or allowed (allow-scenario). We represent the horizontal movement of robots with a typical car-following model, and simply model the actions of robots for self-assembling and self-disassembling bridges. Numerical simulations have revealed the following results. Flow-density diagrams in both the scenarios shift to the higher-density region as the gap length increases. When density is low, allow-scenario exhibits the steady state of repeated self-assembly and self-disassembly of bridges. If density is extremely low, flow in this state is greater than flow in prevent-scenario owing to the increase in the number of robots moving horizontally. Otherwise, flow in this state is smaller than flow in prevent-scenario. Besides, flow in this state increases monotonically with respect to the velocity of robots in joining and leaving bridges. Thus, SDB is recommended for only extremely low-density conditions in periodic systems. Moreover, we have found hysteresis under the absence of periodic boundary conditions (in an open system). This study contributes to the development of the collective dynamics of self-driven particles that self-assemble structures, and stirs the dynamics with other self-assembled structures, such as ramps, chains, and towers., Comment: 16 pages, 11 figures. Abstract is shortened

Published
2023
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20. Re-discovery of MS-347a as a fungicide candidate through a new drug discovery platform with a multidrug-sensitive Saccharomyces cerevisiae screening system and the introduction of a global secondary metabolism regulator, laeA gene

Author

Honma, Sota, primary, Kimishima, Aoi, additional, Kimishima, Atsushi, additional, Honsho, Masako, additional, Kojima, Hiroki, additional, Tokiwa, Toshiyuki, additional, Nishitomi, Atsuka, additional, Kato, Satoshi, additional, Kondo, Naozumi, additional, Araki, Yasuko, additional, Takahashi, Tadashi, additional, Chinen, Takumi, additional, Usui, Takeo, additional, Fuji, Shin-ichi, additional, Ito, Kotaro, additional, and Asami, Yukihiro, additional

Published
2024
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22. Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error

Author

Suzuki, Taiji, Abe, Hiroshi, Murata, Tomoya, Horiuchi, Shingo, Ito, Kotaro, Wachi, Tokuma, Hirai, So, Yukishima, Masatoshi, and Nishimura, Tomoaki

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

Compression techniques for deep neural network models are becoming very important for the efficient execution of high-performance deep learning systems on edge-computing devices. The concept of model compression is also important for analyzing the generalization error of deep learning, known as the compression-based error bound. However, there is still huge gap between a practically effective compression method and its rigorous background of statistical learning theory. To resolve this issue, we develop a new theoretical framework for model compression and propose a new pruning method called {\it spectral pruning} based on this framework. We define the ``degrees of freedom'' to quantify the intrinsic dimensionality of a model by using the eigenvalue distribution of the covariance matrix across the internal nodes and show that the compression ability is essentially controlled by this quantity. Moreover, we present a sharp generalization error bound of the compressed model and characterize the bias--variance tradeoff induced by the compression procedure. We apply our method to several datasets to justify our theoretical analyses and show the superiority of the the proposed method., Comment: 17 pages, 4 figures. Accepted in IJCAI-PRICAI 2020. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, pages 2839--2846

Published
2018

34. Re-discovery of MS-347a as a fungicide candidate through a new drug discovery platform with a multidrug-sensitive Saccharomyces cerevisiaescreening system and the introduction of a global secondary metabolism regulator, laeAgene

Author

Honma, Sota, Kimishima, Aoi, Kimishima, Atsushi, Honsho, Masako, Kojima, Hiroki, Tokiwa, Toshiyuki, Nishitomi, Atsuka, Kato, Satoshi, Kondo, Naozumi, Araki, Yasuko, Takahashi, Tadashi, Chinen, Takumi, Usui, Takeo, Fuji, Shin-ichi, Ito, Kotaro, and Asami, Yukihiro

Abstract

We found that the culture broth of fungi showed anti-fungal activity against multidrug-sensitive budding yeast. However, we could not identify the anti-fungal compound due to the small quantity. Therefore, we attempted to increase the productivity of the target compound by the introduction of a global secondary metabolism regulator, laeAto the strain, which led to the successful isolation of 10-folds greater amount of MS-347a (1) than Aspergillussp. FKI-5362. Compound 1was not effective against Candida albicansand the detailed anti-fungal activity of 1remains unverified. After our anti-fungal activity screening, 1was found to inhibit the growth of broad plant pathogenic fungal species belonging to the Ascomycota. It is noteworthy that 1showed little insecticidal activity against silkworms, suggesting its selective biological activity against plant pathogenic fungi. Our study implies that the combination strategy of multidrug-sensitive yeast and the introduction of laeAis useful for new anti-fungal drug discovery.Graphical AbstractDrug discovery platform with a multidrug-sensitive yeast screening system and the introduction of laeAgene.

Published
2024
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35. Comparing apparent diffusion coefficient values of the masticatory muscles on diffusion‐weighted magnetic resonance imaging in patients with temporomandibular joint osteoarthrosis.

Author

Sawada, Eri, Ito, Kotaro, Hirahara, Naohisa, Muraoka, Hirotaka, Tokunaga, Satoshi, Okada, Shunya, Iwata, Koji, and Kaneda, Takashi

Abstract

Aim: This study aimed to compare the apparent diffusion coefficient (ADC) values of the masticatory muscles between patients with and without temporomandibular joint osteoarthritis (TMJ‐OA) on diffusion‐weighted magnetic resonance imaging. Methods: This prospective study included 120 patients with temporomandibular disorders (TMD), including 60 patients with TMJ‐OA and 60 without TMJ‐OA, and 60 without TMD patients. All patients underwent magnetic resonance imaging of the TMJs at our hospital between November 2011 and January 2017. The regions of interest included the right and left lateral pterygoid muscles, medial pterygoid muscles, and masseter muscles on axial slices. Magnetic resonance images from the TMJ‐OA and control groups were independently evaluated by two oral and maxillofacial radiologists. ADC values were compared between the two groups using Mann–Whitney U tests. Results: The respective mean ADC values of the lateral pterygoid muscles in patients with TMJ‐OA and controls were 1.18 × 10−3 and 1.33 × 10−3 mm2/s, respectively. Those for the medial pterygoid muscles were 1.14 × 10−3 and 1.25 × 10−3 mm2/s, while those for the masseter muscles were 1.20 × 10−3 and 1.28 × 10−3 mm2/s, respectively. The mean ADC values of the normal lateral pterygoid, normal medial pterygoid, and normal masseter muscles were 1.29 × 10−3, 1.09 × 10−3, and 1.08 × 10−3 mm2/s, respectively. Conclusion: Among patients with TMDs, the ADC values of the masticatory muscles were significantly higher in patients without TMJ‐OA than in those with TMJ‐OA. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Fast Lithium Intercalation Mechanism on Surface‐Modified Cathodes for Lithium‐Ion Batteries (Adv. Energy Mater. 44/2023)

Author

Zhou, Huangkai, primary, Izumi, Jun, additional, Asano, Sho, additional, Ito, Kotaro, additional, Watanabe, Kenta, additional, Suzuki, Kota, additional, Nemoto, Fumiya, additional, Yamada, Norifumi L., additional, Aso, Kohei, additional, Oshima, Yoshifumi, additional, Kanno, Ryoji, additional, and Hirayama, Masaaki, additional

Published
2023
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