Tokyo, Japan
Tokyo, Japan

NTT Comware Corporation is a system integration company which serves mainly the NTT Group. It started as the old NTT's IT Services department and was incorporated as a wholly owned subsidiary of NTT in 1997. Wikipedia.


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Kawamae N.,Nippon Telegraph and Telephone | Kawamae N.,NTT Comware | Higashinaka R.,Nippon Telegraph and Telephone
Proceedings of the 19th International Conference on World Wide Web, WWW '10 | Year: 2010

This paper presents a topic model that detects topic distributions over time. Our proposed model, Trend Detection Model (TDM) introduces a latent trend class variable into each document. The trend class has a probability distribution over topics and a continuous distribution over time. Experiments using our data set show that TDM is useful as a generative model in the analysis of the evolution of trends. © 2010 Copyright is held by the author/owner(s).


Suto I.,Nagoya University | Kawamura K.,Nissei Gakuen | Hagimoto S.,ADMATECHS Co. | Teraishi A.,NTT Comware | Tanaka Y.,Japan National Institute of Advanced Industrial Science and Technology
Palaeogeography, Palaeoclimatology, Palaeoecology | Year: 2012

Long-term evolution is thought to take opportunities that arise as a consequence of mass extinction (as argued, for example, by Gould, 2002) and the following biotic recovery, but there is absolutely no evidence for this being the case. However, our study shows that eutrophication by oceanic mixing also played a part in the enhancement of several evolutionary events amongst marine organisms, and these results could indicate that the rates of oceanic biodiversification may be slowed if upwelling becomes weakened by future global warming. This paper defines three distinct evolutionary events of resting spores of the marine diatom genus Chaetoceros, to reconstruct past upwelling through the analysis of several DSDP, ODP and land-based successions from the North, South and equatorial Pacific as well as the Atlantic Ocean during the past 40. million years. The Atlantic Chaetoceros Explosion (A. CE) event occurred across the E/O boundary in the North Atlantic, and is characterized by resting spore diversification that occurred as a consequence of the onset of upwelling following changes in thermohaline circulation through global cooling in the early Oligocene. Pacific Chaetoceros Explosion events-1 and -2 (PA. CE-1 and PA. CE-2) are characterized by relatively higher occurrences of iron input following the Himalayan uplift and aridification at 8.5. Ma and ca. 2.5. Ma in the North Pacific region. These events not only enhanced the diversification and increased abundance of primary producers, including that of Chaetoceros, other diatoms and seaweeds, but also stimulated the evolution of zooplankton and larger predators, such as copepods and marine mammals, which ate these phytoplankton and plants. Current thinking suggests new evolutionary niches open up after a mass extinction, but our study finds that eutrophication can also stimulate evolutionary diversification. Moreover, in the opposite fashion, our results show that as thermohaline circulation abates, global warming progresses and the ocean surface becomes warmer, many marine organisms will be affected by the environmental degradation. © 2012 Elsevier B.V.


Kawamae N.,NTT Comware
SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval | Year: 2010

To realize services that provide serendipity, this paper assesses the surprise of each user when presented recommendations. We propose a recommendation algorithm that focuses on the search time that, in the absence of any recommendation, each user would need to find a desirable and novel item by himself. Following the hypothesis that the degree of user's surprise is proportional to the estimated search time, we consider both innovators' preferences and trends for identifying items with long estimated search times. To predict which items the target user is likely to purchase in the near future, the candidate items, this algorithm weights each item that innovators have purchased and that reflect one or more current trends; it then lists them in order of decreasing weight. Experiments demonstrate that this algorithm outputs recommendations that offer high user/item coverage, a low Gini coefficient, and long estimated search times, and so offers a high degree of recommendation serendipitousness. © 2010 ACM.


Kawamae N.,NTT Comware
WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion | Year: 2012

Our proposal, identifying sentiments in N-grams (ISN), focuses on both word order and phrases, and the interdependency between specific ratings and corresponding sentiments in texts to detect subjective information. Copyright is held by the International World Wide Web Conference Committee (IW3C2).


Kawamae N.,NTT Comware
SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval | Year: 2010

This paper presents a hierarchical topic model that simultaneously captures topics and author's interests. Our proposed model, the Author Interest Topic model (AIT), introduces a latent variable with a probability distribution over topics into each document. Experiments on a research paper corpus show that AIT is very useful as a generative model. © 2010 ACM.


Asano T.,NTT Comware
NTT Technical Review | Year: 2012

NTT COMWARE Corporation America Branch is focusing on providing new business value by monitoring emerging trends of venture-capital companies and the telecommunications industry in Silicon Valley and disseminating this information to its customers as well as to the NTT Group. This article introduces our business and activities.


Kawamae N.,NTT Comware
WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining | Year: 2014

We propose a Bayesian nonparametric topic model that represents relationships between given labels and the corresponding words/phrases, from supervised articles. Unlike existing supervised topic models, our proposal, supervised N-gram topic model (SNT), focuses on both a number of topics and power-law distribution in the word frequencies to extract topic specific N-grams. To achieve this goal, SNT takes a Bayesian nonparametric approach to topic sampling, which generates word distribution jointly with the given variable in textual order, and then form each N-gram word as a hierarchy of Pitman-Yor process priors. Experiments on labeled text data show that SNT is useful as a generative model for discovering more phrases that complement human experts and domain specific knowledge than the existing alternatives. The results show that SNT can be applied to various tasks such as automatic annotation. © 2014 ACM.


Jiang H.,NTT Comware
NTT Technical Review | Year: 2011

This article reports the most recent standardization trends in the TeleManagement Forum (TM Forum), such as the Frameworx integrated business architecture and the user-led cloud study group Cloud Service Initiative (CSI) as well as the latest trends seen at Management World 2010 in May.


News Article | June 21, 2007
Site: www.techradar.com

Force-feedback joysticks that rumble and jerk in time to action in a game are all very well but they don't actually give much of an impression of the real experience. That's something a Japanese company is hoping to change with its virtual-reality glove that allows users to physically feel on-screen objects. The ' Tangible-3D ' system from NTT Comware combines a monitor that gives the illusion of three-dimensional images with a robotic glove. In this way it is able to convey the shape and size of whatever is on the screen to the human hand. Those images are created using two cameras to give a 'stereo' effect. And the same data is then fed into the glove, which responds through actuator motors as the user moves his hand around the object he perceives. The result is pressure on the fingertips, just as a real object would create. Comware hopes to develop the system further to allow users to alter the virtual objects and to enable more than one glove to operate at the same time. It'll likely be a learning aid for medical students and scientists of the future.

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