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Institution

Waseda University

EducationTokyo, Japan
About: Waseda University is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Large Hadron Collider & Catalysis. The organization has 24220 authors who have published 46859 publications receiving 837855 citations. The organization is also known as: Waseda daigaku & Sōdai.


Papers
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Journal ArticleDOI
TL;DR: The new product pattern together with the innovative manufacturing paradigm is called service-oriented manufacturing, and the characteristics of each type of PSS’s and the shift between them are discussed.
Abstract: Service plays an increasingly important role in modern manufacturing: (a) Services and physical products are integrated into one product service system (PSS) to provide a comprehensive solution for customers; (b) The companies involved in offering PSS focus on specialized sectors, and provide producer services for one another. In this paper, the new product pattern together with the innovative manufacturing paradigm is called service-oriented manufacturing. The competitive advantage of a PSS can be originated from products or services, and the ownership of PSS's may or may not be transferred from sellers to buyers during transactions. Various PSS's were categorized into three classes. The characteristics of each type of PSS's and the shift between them are discussed. Many companies, which provide producer services and manufacturing services to one another, form a service-based manufacturing network. The reasons why producer services act as intermediate goods among different companies and motivations for companies to outsource their business processes are analyzed economically. Many companies in different segments of the production-chain may have discrepant profitability. Technology strength and industry insight competences are adopted to explain the discrepant values added from various segments along the production chain. Service-oriented manufacturing is summarized from the perspectives of business model, industry insight and technology strength (BIT).

184 citations

Journal ArticleDOI
Markus Ackermann1, Marco Ajello1, Alice Allafort1, Luca Baldini2  +197 moreInstitutions (35)
TL;DR: In this article, the authors reported upper limits on the photon flux in the range 0.2-100 GeV towards a sample of observed clusters (typical values 1-5 x 10^-9 ph cm^-2 s^-1) considering both point-like and spatially resolved models for the high energy emission, and discuss how these results constrain the characteristics of energetic leptons and hadrons, and magnetic fields in the intracluster medium.
Abstract: The detection of diffuse radio emission associated with clusters of galaxies indicates populations of relativistic leptons infusing the intracluster medium. Those electrons and positrons are either injected into and accelerated directly in the intracluster medium, or produced as secondary pairs by cosmic-ray ions scattering on ambient protons. Radiation mechanisms involving the energetic leptons together with decay of neutral pions produced by hadronic interactions have the potential to produce abundant GeV photons. Here, we report on the search for GeV emission from clusters of galaxies using data collected by the Large Area Telescope (LAT) on the Fermi Gamma-ray Space Telescope (Fermi) from August 2008 to February 2010. Thirty-three galaxy clusters have been selected according to their proximity and high mass, X-ray flux and temperature, and indications of non-thermal activity for this study. We report upper limits on the photon flux in the range 0.2-100 GeV towards a sample of observed clusters (typical values 1-5 x 10^-9 ph cm^-2 s^-1) considering both point-like and spatially resolved models for the high-energy emission, and discuss how these results constrain the characteristics of energetic leptons and hadrons, and magnetic fields in the intracluster medium. The volume-averaged relativistic-hadron-to-thermal energy density ratio is found to be < 5-10% in several clusters.

184 citations

Journal ArticleDOI
TL;DR: Fe3C‐Fe,N/C hollow spheres exhibit an ORR performance comparable to that of commercially available 20 wt% Pt/C in alkaline electrolyte, with a similar half‐wave potential, an electron transfer number close to 4, and lower H2O2 yield of less than 5%.
Abstract: Sub-50 nm iron-nitrogen-doped hollow carbon sphere-encapsulated iron carbide nanoparticles (Fe3C-Fe,N/C) are synthesized by using a triblock copolymer of poly(styrene-b-2-vinylpyridine-b-ethylene oxide) as a soft template. Their typical features, including a large surface area (879.5 m2 g-1), small hollow size (≈16 nm), and nitrogen-doped mesoporous carbon shell, and encapsulated Fe3C nanoparticles generate a highly active oxygen reduction reaction (ORR) performance. Fe3C-Fe,N/C hollow spheres exhibit an ORR performance comparable to that of commercially available 20 wt% Pt/C in alkaline electrolyte, with a similar half-wave potential, an electron transfer number close to 4, and lower H2O2 yield of less than 5%. It also shows noticeable ORR catalytic activity under acidic conditions, with a high half-wave potential of 0.714 V, which is only 59 mV lower than that of 20 wt% Pt/C. Moreover, Fe3C-Fe,N/C has remarkable long-term durability and tolerance to methanol poisoning, exceeding Pt/C regardless of the electrolyte.

184 citations

Journal ArticleDOI
Kotaro Hirasawa1, T. Eguchi1, Jin Zhou1, Lu Yu1, Jinglu Hu1, Sandor Markon 
01 Jul 2008
TL;DR: A new group supervisory control system for DDESs using GNP is proposed, and its optimization and performance evaluation are done through simulations, and the reduction of space requirements compared with SDESs is confirmed.
Abstract: Elevator group supervisory control systems (EGSCSs) are designed so that the movement of several elevators in a building is controlled efficiently. The efficient control of EGSCSs using conventional control methods is very difficult due to its complexity, so it is becoming popular to introduce artificial intelligence (AI) technologies into EGSCSs in recent years. As a new approach, a graph-based evolutionary method named genetic network programming (GNP) has been applied to the EGSCSs, and its effectiveness is clarified. The GNP can introduce various a priori knowledge of the EGSCSs in its node functions easily, and can execute an efficient rule-based group supervisory control that is optimized in an evolutionary way. Meanwhile, double-deck elevator systems (DDESs) where two cages are connected in a shaft have been developed for the rising demand of more efficient transport of passengers in high-rise buildings. The DDESs have specific features due to the connection of cages and the need for comfortable riding; so its group supervisory control becomes more complex and requires more efficient group control systems than the conventional single-deck elevator systems (SDESs). In this paper, a new group supervisory control system for DDESs using GNP is proposed, and its optimization and performance evaluation are done through simulations. First, optimization of the GNP for DDSEs is executed. Second, the performance of the proposed method is evaluated by comparison with conventional methods, and the obtained control rules in GNP are studied. Finally, the reduction of space requirements compared with SDESs is confirmed.

183 citations


Authors

Showing all 24378 results

NameH-indexPapersCitations
Yusuke Nakamura1792076160313
Yoshio Bando147123480883
Charles Maguire142119795026
Kazunori Kataoka13890870412
Senta Greene134134690697
Intae Yu134137289870
Kohei Yorita131138991177
Wei Xie128128177097
Susumu Kitagawa12580969594
Leon O. Chua12282471612
Jun Kataoka12160354274
S. Youssef12068365110
Katsuhiko Mikoshiba12086662394
Yusuke Yamauchi117100051685
Teruo Okano11747647081
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202380
2022237
20212,347
20202,467
20192,367
20182,289