Bin Tong

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—As wireless power charging technology emerges, some basic principles in sensor network design are changed accordingly. Existing sensor node deployment and data routing strategies cannot exploit wireless charging technology to minimize overall energy consumption. Hence, in this paper, we (a) investigate the impact of wireless charging technology on sensor(More)
—When deployed for long-term tasks, the energy required to support sensor nodes' activities is far more than the energy that can be preloaded in their batteries. No matter how the battery energy is conserved, once the energy is used up, the network life terminates. Therefore, guaranteeing long-term energy supply has persisted as a big challenge. To address(More)
—To achieve required sensing coverage for a very long period of time is an important and challenging problem in sensor network design. Recently, Tong et al. have proposed a node replacement and reclamation (NRR) strategy, and designed an adaptive rendezvous-based two-tier scheduling (ARTS) scheme. However, the ARTS scheme only considers point coverage but(More)
—The overlay-based network architecture has been recognized as an effective way to deal with the funneling effect in sensor networks, where sensors closer to the sink are usually responsible for relaying more network traffic. Such funneling effect is particularly harmful when the number of sensors in the network is vast. In an overlay-based sensor network,(More)
We overviewed the pathophysiological features of diabetes and its complications in obese type 2 diabetic rat models: Otsuka Long-Evans Tokushima fatty (OLETF) rat, Wistar fatty rat, Zucker diabetic fatty (ZDF) rat and Spontaneously diabetic Torii (SDT) fatty rat. Pancreatic changes with progression of diabetes were classified into early changes, such as(More)
Transfer learning provides a solution in real applications of how to learn a target task where a large amount of auxiliary data from source domains are given. Despite numerous research studies on this topic, few of them have a solid theoretical framework and are parameter-free. In this paper, we propose an Extended Minimum Description Length Principle(More)
Dimensionality reduction has been considered as one of the most significant tools for data analysis. In general, supervised information is helpful for dimensionality reduction. However, in typical real applications, supervised information in multiple source tasks may be available , while the data of the target task are unlabeled. An interesting problem of(More)
  • Hideaki Yamashiro, Yasuyuki Abe, Tomokazu Fukuda, Yasushi Kino, Isao Kawaguchi, Yoshikazu Kuwahara +13 others
  • 2013
We aimed to investigate the effect of chronic radiation exposure associated with the Fukushima Daiichi Nuclear Plant accident on the testis from 2 bulls. Estimated dose of internal exposure in one bull was 0.7-1.2 mGy (¹³⁴Cs) and 0.4-0.6 mGy (¹³⁷Cs) and external exposure was 2.0 mGy (¹³⁴Cs) and 0.8 mGy (¹³⁷Cs) (196 days). Internal dose in the other was(More)
Troubleshooting search system aims at extracting relevant information to solve the problem at hand. It is often the case that documents in troubleshooting system includes an abundant amount of domain-specic categories. However, the useful information about the domain-specic categories, such as relationship between words and categories and relationship(More)