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In recent, some researches are being developed in medical applications to improve the accuracy of the pose and the joint of the patient. One of the famous existed methods for measuring the matching rate of the pose is by using the rotation angle of the joint. However, there is a problem that the rotational direction is missing when we only consider the rotation angle of the joint. Thus, we propose...
In this paper, we target the problem of the situation-aware application (task) recommendation on mobile devices. To tackle this problem, we develop both supervised and unsupervised approaches. We use Naive Bayesian as a supervised approach, and co-clustering and vector quantization (VQ) as unsupervised approaches. We evaluate the performance of the proposed approaches with both synthetic and actual...
The goal of this proposal is to apply new MEMS fabrication techniques to demonstrate and evaluate the design of a new THz klystron amplifier. A possible MEMS-based fabrication process to realize the THz klystron amplifier will be described.
Design and analysis of a slow-wave structure (SWS) potentially applicable to high power traveling-wave tube (TWT) amplifiers at millimeter-wave frequencies are presented. The circuit characteristics, including the dispersion relation, are predicted. Hot test particle-in-cell (PIC) simulation results will be described employing VORPAL that is based on the conformal finite difference time domain (CFDTD)...
Design and analysis of a slow-wave structure potentially applicable to high power traveling-wave tube (TWT) amplifiers at millimeter-wave frequencies are presented. The circuit characteristics including dispersion relation is predicted. Hot test particle-in-cell (PIC) simulation results will be described employing VORPAL that is based on the conformal finite difference time domain (CFDTD) method.
In our daily life we frequently use mobile devices to interact with the people and things on the Internet. However, finding the right things when needed is getting difficult and frustrating. In this paper, we introduce a relatively new problem of non-collaborative personal interest mining using contexts and ratings available for items of interest. We present multi-step algorithms to extract personal...
Having reliable context sources is very important for context-aware applications and the devices around a user can be a useful context for many applications. While the importance of `devices around' as a context has been highlighted many times, to the best of our knowledge, there is no systematic mechanism reported to identify and capture this context. In this paper we report our mechanism for extracting...
To provide consumers with the right information at the time of need, we developed a SmartSearch application that is able to extract a user's situational interests from usage data. It automatically constructs search queries based on situational interests. We extract the situational interests automatically without prior training and user involvement. In addition, SmartSearch is a client-side solution...
Alternating-Offer Protocol (AOP) is the most predominant way for one-to-one bargaining. Almost all past theoretical or practical researches on bargaining issue adopt AOP as the default trading rule. In this paper, we provide an alternative protocol, Sealed-Offer Synchronous Bargaining Protocol (SOSBP), which can be useful for the automated bargaining between self-interested agents for Open E-Marketplaces...
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