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Video Recognition by Physical Reservoir Computing in Magnetic Materials
Kaito Kobayashi,Yukitoshi Motome 한국물리학회 2023 새물리 Vol.73 No.12
Nonlinear spin dynamics in magnetic materials offers a promising avenue for implementing physical reservoir computing, one of the most accomplished brain-inspired frameworks for information processing. In this study, we investigate the practical utility of magnetic physical reservoirs by assessing their performance in a video recognition task. Leveraging a recently developed spatiotemporal parallelization scheme, our reservoir achieves accurate classifications of successively provided images. Our findings pave the way for the development of visual sensors based on the magnetic physical reservoir computing.
Kaito Oshiro,Takeo Okazaki 대한전자공학회 2018 IEIE Transactions on Smart Processing & Computing Vol.7 No.1
This research forecasts order trends for drugstores based on order history datasets. Frequency–monetary–distance (FMD) analysis, merchandise clustering, and a modified model selection criterion are used to improve forecast accuracy. FMD analysis is a store classification method that is used for considering accessibility to the store as one of its characteristics. Merchandise clustering uses a wavelet transform aimed at finding the common order trends in products from the order history. The modified model selection criterion is intended to provide forecast models that reduce either underestimated or overestimated errors. Our verification results show that FMD analysis provides forecasts with fewer errors for most products, compared to the classification method without considering accessibility. Wavelet-based clustering reduces forecast errors depending on mother wavelets. The modified model selection criterion also reduces underestimated or overestimated errors.
( Kaito Sasaki ),( Yasushi Matsufuji ),( Ayako Tachifuji ),( Yukihito Yoshimura ) 한국폐기물자원순환학회(구 한국폐기물학회) 2016 한국폐기물자원순환학회 춘계학술발표논문집 Vol.2016 No.-
Leachate which contains high concentrations of organic pollutant often causes river or ground water contaminations because of no leachate treatment facility in developing countries. However, it is difficult for such countries to build a sophisticated leachate treatment facility due to the lack of Money, Mampower, and Material (3Ms). Under such situations, Savonius-type stirrer “ECO-FAN” driving by the wind power has been developed for the biological treatment of leachate in our laboratroy. Based on some past fundamental experiments, it has already been clarified that ECO-FAN is available not only as an aerator for the biological treatment but also as a stirrer for tlie coagulation-sedimentation treatment. Nevertheless the stirring interruption caused by no-wind period under natural wind conditions might influence on the coagulation with a short reaction time. To evaluate the influence of the stirring interruption, the experiment under three kinds of operation condition after adding a coagulant were set up in this study, such as only stopping condition without stirration (Case 1), stirring condition after stopping (Case 2), and only stirring without stopping (Case 3). The stopping time (stirring interruption time) in Case 2 was changed from 30, to 60, 90, and 120 minitues respectively as shown Figure L As a result, the COD removal rates increased slightly according to the increase of the stirring interruption time, ranging 18-24%. But the COD removal rates rose dramatically by adding 30 minitues of stirring, it showed about 45% in case of 5 rpm stirring, and also about 60% in case of 20 rpm stirring. There was no difference of the stirring interruption time less than 2 hours in the COD removal rate (Figure 2). Furtheremore, the COD removal rates in Case 2 with 30 minutes stirring after stopping were mostly equal to the removal rate under only stirring condition without stopping as shown in Figure 2. These experimental results suggested that the coagulation proceed even if the stirring interruption is induced under natural wind condition, as long as the natural wind sometimes rotates ECO-FAN. It means that ECO-FAN is also under natural wind conditions. available as a stirrer for the coagulation-sedimentation treatment
Oral Session : Effects of Exercise on 24-h Fat oxidation Depend on When It is Performed
( Kumpei Tokuyama ),( Kaito Iwayama ),( Reiko Kurihara ),( Ryousuke Kawabuchi ),( In Sung Park ),( Hitomi Ogata ),( Nana Kurosawa ),( Masashi Kobayashi ),( Kazuteru Nakamura ),( Yoshiharu Nabekura ) 한국체육학회 2013 In Pursuit of Evidence-Based Sport and Exercise Sc Vol.0 No.-
Performance of elastic optical network with limited slicers
Nattapong Kitsuwan,Kaito Akaki 한국통신학회 2023 ICT Express Vol.9 No.3
A bandwidth blocking occurs due to bandwidth fragmentation in an elastic optical network, which arises from setting up and tearing down of lightpaths. An appropriate routing and spectrum allocation (RSA) approach can reduce this blocking. RSA performs under two allocation rules, which are continuous connection and consecutive slots. A slicing-and-stitching technology excludes the second rule by splitting an optical signal into spectrum components using slicers. Adopting slicers for all nodes is costly. This paper proposes EON with limited number of slicers. A set of nodes with slicers is determined. The pattern of slicers to achieve low bandwidth blocking is investigated.
한대석,Kiyoyuki Kaito,Kiyoshi Kobayashi,Kazuya Aoki 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.5
Road agencies provide maintenance work to serve a satisfactory level of road services to the public. However, as time goes on, pavement structure deteriorates for many reasons. Since repeated maintenance work upon deteriorated pavement structures can accelerate the deterioration speed, the pavements require periodic reconstruction work to recover original integrity. However, in the real world, it is difficult to carry out such a high level of maintenance work due to insufficient budgets, and no evidence for a guarantee of better economic efficiency. To support decision making in asset management, this study tries to define changing pavement performance by repeated maintenance work with empirical data. As an analytical tool, mixed hazard model with hierarchical Bayesian estimation method was applied. With the results, a best maintenance scheme on reconstruction timing was suggested by life cycle cost analysis. For the empirical study, a maintenance history data on Korean national highways, accumulated from 1965, was applied. The analysis procedures and results of this paper could be a good reference to build much realistic long-term maintenance strategy and reasonable budget allocation. In addition, the mixed hazard model with the hierarchical Bayesian estimation method is expected to be a useful tool in solving problems with heterogeneous population sampling, and in finding best practice and gaps among competitive alternatives.
Performance Evaluation of Advanced Pavement Materials by Bayesian Markov Mixture Hazard Model
한대석,Kiyoyuki Kaito,Kiyoshi Kobayashi,Kazuya Aoki 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.2
Optimized maintenance and management strategies are often emphasized in infrastructure management. Although such strategies serve to facilitate decision making, it is important to recognize that revolutions in asset management can come from improvements to hardware performance rather than managerial techniques. Underlying the managerial solutions, this study focused on the utility of various pavement materials and a special layer to support a performance-oriented asset management plan. This study compared the life expectancy and uncertainties of Stone Mastic Asphalt (SMA), Polymer Modified Asphalt (PMA), Rut-resistant Asphalt (RRA), Porous Asphalt (PA), and conventional hot-mix asphalt (HMA), which are widely introduced in field maintenance works. Problems associated with insufficient data due to short elapsed time and insufficient time-series performance data were mitigated by employing an advanced statistical method, the Markov mixture hazard model applying hierarchical Bayesian estimation. Empirical studies were conducted using historical performance data covering a period of 5 years (2002-2007) from 150 special monitoring sections in the K-Network. The results provide useful information for developing improved specifications for maintenance design and performance-based contracts that may lead to radical reform of infrastructure asset management. The Markov mixture hazard model with hierarchical Bayesian estimation is also a powerful tool for solving critical limitations in the post-evaluation of short-term projects.
Daeseok Han,Kiyoyuki Kaito,Kiyoshi Kobayashi 대한토목학회 2014 KSCE Journal of Civil Engineering Vol.18 No.7
The heart of asset management systems for road infrastructure is the deterioration forecasting model. It provides the most fundamental information for better asset management. So far, there are many practices to build a reliable forecasting model using inspection data in conjunction with statistical theories. In many applications, however, an inadequate stock of inspection data or difficulty in applying sophisticated statistical methods have often been serious obstacles. As a solution, this paper suggests applying the Bayesian estimation method with a multi-state exponential hazard Markov chain model for simple and reliable deterioration forecasting for infrastructure. The main contents of this paper are an introduction of the model’s framework combining Markov chain, hazard theory, and Bayesian estimation method, and a demonstration of its practical application with an empirical study. The empirical study was conducted with time-series inspection data of pavement from the Korean National Highways. The estimation results from the suggested method would be useful for improving the current pavement maintenance strategy for Korean National Highways. However, the most important message of this paper is that the framework of the Bayesian Markov hazard model could be the best model to use for other civil infrastructure that has gradual changes in condition. The great advantages from the Bayesian estimation method may facilitate development of customized asset management systems.