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Nakatsuji M.,Nippon Telegraph and Telephone | Fujiwara Y.,NTT Software
Artificial Intelligence | Year: 2014

Subjective assessments (SAs), such as "elegant" and "gorgeous," are assigned to items by users, and they are common in the reviews and tags found on many online sites. Analyzing the linked information provided by an SA assigned by a user to an item can improve the recommendation accuracy. This is because this information contains the reason why the user assigned a high or low rating value to the item. However, previous studies have failed to use SAs in an effective manner to improve the recommendation accuracy because few users rate the same items with the same SAs, which leads to the sparsity problem during collaborative filtering. To overcome this problem, we propose a novel method, called Linked Taxonomies, which links a taxonomy of items to a taxonomy of SAs to capture the user's interests in detail. First, our method groups the SAs assigned by users to an item into subjective classes (SCs), which are defined using a taxonomy of SAs such as those in WordNet, and they reflect the SAs/SCs assigned to an item based on their classes. Thus, our method can measure the similarity of users based on the SAs/SCs assigned to items and their classes (item classes are defined using a taxonomy of items), which overcomes the sparsity problem. Furthermore, SAs that are ineffective for accurate recommendations are excluded automatically from the taxonomy of SAs using this method. This is highly beneficial for the designers of taxonomies of SAs because it helps to ensure the production of accurate recommendations. We conducted investigations using a movie ratings/tags dataset with a taxonomy of SAs extracted from WordNet and a restaurant ratings/reviews dataset with an expert-created taxonomy of SAs, which demonstrated that our method generated more accurate recommendations than previous methods. © 2013 The Authors.

Fujiwara Y.,NTT Software | Irie G.,Nippon Telegraph and Telephone | Kuroyama S.,California Institute of Technology | Onizuka M.,Osaka University
Proceedings of the VLDB Endowment | Year: 2014

Manifold Ranking is a graph-based ranking algorithm be- ing successfully applied to retrieve images from multimedia databases. Given a query image, Manifold Ranking com- putes the ranking scores of images in the database by ex- ploiting the relationships among them expressed in the form of a graph. Since Manifold Ranking effectively utilizes the global structure of the graph, it is significantly better at finding intuitive results compared with current approaches. Fundamentally, Manifold Ranking requires an inverse ma- trix to compute ranking scores and so needs O(n3) time, where n is the number of images. Manifold Ranking, un- fortunately, does not scale to support databases with large numbers of images. Our solution, Mogul, is based on two ideas: (1) It efficiently computes ranking scores by sparse matrices, and (2) It skips unnecessary score computations by estimating upper bounding scores. These two ideas re- duce the time complexity of Mogul to O(n) from O(n3) of the inverse matrix approach. Experiments show that Mogul is much faster and gives significantly better retrieval quality than a state-of-the-art approximation approach. © 2014 VLDB Endowment 21508097/ 14/12.

Fujiwara Y.,NTT Software | Nakatsuji M.,Nippon Telegraph and Telephone | Shiokawa H.,NTT Software | Onizuka M.,NTT Software
Proceedings - International Conference on Data Engineering | Year: 2013

Graphs are a fundamental data structure and have been employed to model objects as well as their relationships. The similarity of objects on the web (e.g., webpages, photos, music, micro-blogs, and social networking service users) is the key to identifying relevant objects in many recent applications. SimRank, proposed by Jeh and Widom, provides a good similarity score and has been successfully used in many applications such as web spam detection, collaborative tagging analysis, link prediction, and so on. SimRank computes similarities iteratively, and it needs O(N4T) time and O(N 2) space for similarity computation where N and T are the number of nodes and iterations, respectively. Unfortunately, this iterative approach is computationally expensive. The goal of this work is to process top-k search and range search efficiently for a given node. Our solution, SimMat, is based on two ideas: (1) It computes the approximate similarity of a selected node pair efficiently in non-iterative style based on the Sylvester equation, and (2) It prunes unnecessary approximate similarity computations when searching for the high similarity nodes by exploiting estimations based on the Cauchy-Schwarz inequality. These two ideas reduce the time and space complexities of the proposed approach to O(Nn) where n is the target rank of the low-rank approximation (n ≪ N in practice). Our experiments show that our approach is much faster, by several orders of magnitude, than previous approaches in finding the high similarity nodes. © 2013 IEEE.

News Article | November 3, 2016

PowWow Mobile, the leading enterprise mobility platform that allows companies to deliver powerful, modern native mobile apps quickly, simply and economically, today announced that it has partnered with NTT Software, Japan’s leading technology integrator, to drive innovation and acceleration of enterprise mobile apps to its customers. NTT Software, a subsidiary of the Nippon Telegraph and Telephone Corporation, provides system integration and networking system services, including security, CRM, mobile and service oriented architecture (SOA) to companies in the manufacturing, insurance, government and retail sectors. Although IDC projects enterprise mobility to become a top priority for enterprises in Japan, investment and deployment have been slow primarily due to security and compliance concerns. Now, as part of the partnership, NTT Software’s clients can accelerate their enterprise mobility initiatives by leveraging PowWow Mobile’s leading rapid mobile application development (RMAD) platform, SmartUX, to securely transform existing Windows and web applications and workflows into modern mobile experiences or; by creating net new apps that connect to any third-party data source, API or SQL. In addition, NTT Software customers can easily design and deploy personalized, intelligent and secure apps that run anywhere, on any device (PC, laptop, tablet, phone or watch) and any OS (iOS, Android, Windows 10, or HTML5). “NTT Software Corporation chose to partner with PowWow Mobile because we see its SmartUX Platform as a disruptor to the traditional economics of delivering large volumes of specialized and powerful enterprise mobile apps that are today needed to unleash workplace productivity,” said Mr. Yoshihiro Umemoto, SVP and General Manager of Cloud and Security Business Department, NTT Software Corporation. “NTT Software’s competitive edge in the enterprise mobility market, not only in Japan but throughout Asia Pacific, is strengthened by this partnership. PowWow Mobile enables us to maintain that innovative spirit that is core to how we deliver unique solutions to our customers.” The PowWow Mobile solution disrupts the speed, complexity and economics commonly associated with delivering productivity enhancing apps to an increasingly mobile-first workforce. With PowWow Mobile’s SmartUX Platform, users can take advantage of a powerful end-to-end platform for transforming even the most complex applications and workflows into native mobile apps that run anywhere, on any device. “Globally, mobility has become a crucial differentiator in today’s business landscape, and businesses are looking for ways to maximize their productivity, agility and ultimately, their competitive differentiation,” said Kia Behnia, CEO at PowWow Mobile. “Enterprise Mobility and Digital Transformation have strategic importance for organizations across many industries. Our partnership with NTT Software will enable us to engage a broad set of customers in Asia Pacific and help them quickly realize their mobility strategy through the use of SmartUX, our leading rapid mobile application development platform.” Earlier in 2016, PowWow Mobile was named a “Cool Vendor in Mobile App Development, 2016” by Gartner. For more information on PowWow Mobile, visit and follow us on Twitter @powwowmobile. About PowWow Mobile PowWow Mobile allows enterprises to transform business applications into modern, mobile app experiences. PowWow Mobile eliminates business-IT friction as enterprises seek competitive advantage and increased productivity through mobile for today’s digital workplace. SmartUX Platform accelerates enterprise application transformation by creating new, native mobile apps from any web or Windows app, quickly without sacrificing quality, and at a lower cost than custom solutions or other tools. PowWow Mobile works with customers across industries, including financial services, healthcare, telecom, software, consulting and public sector. PowWow Mobile is based in San Francisco. Learn more at About NTT Software NTT is one of the largest companies in Japan. NTT Software is wholly owned by Nippon Telegraph and Telephone Corporation (NTT), providing solution services based on emerging technologies from NTT R&D laboratories.

Nakagawa T.,Tohoku Institute of Technology | Kimura S.,NTT Software
Earth, Planets and Space | Year: 2011

The solar wind interaction with a non-magnetized, electrically non-conducting body is studied using a two- dimensional electromagnetic full particle simulation. The solar wind magnetic field is introduced into the simulation scheme as an initial condition together with the electric field generated by the motion of the solar wind. The solar wind magnetic field controls the direction of the thermal flow of the electrons and causes an asymmetry of the negative charging of the downstream-side surface. The negative charging and the potential drop are largest at the position where the solar wind magnetic field is perpendicular to the surface of the non- magnetized body. In the absence of photoelectrons, the solar wind electrons begin to be expelled by the negative charging at the terminator and then flow away along the field line producing streaks of enhancements of the electron density. © The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB.

Yamato Y.,NTT Software
International Conference on Ubiquitous and Future Networks, ICUFN | Year: 2015

Regarding to IaaS virtual machine operations, the problem is high operation costs because users need to distribute and verify software patches for their virtual machines. I proposed an automatic verification technology for each virtual machine patch in previous work. This paper studies an improvement of automatic verifications of system tests with plural virtual machines. © 2015 IEEE.

Mishima T.,NTT Software | Fujiwara Y.,NTT Software
Proceedings of the ACM SIGMOD International Conference on Management of Data | Year: 2015

Database-as-a-service has been gaining popularity in cloud computing because multitenant databases can reduce costs by sharing off-the-shelf resources. However, due to heavy workloads, resource sharing often causes a hot spot; one node is overloaded even while others are not. Unfortunately, a hot spot can lead to violation of service level agreements and destroy customer satisfaction. To efficiently address the hot spot problem, we propose a middleware approach called Madeus that conducts database live migration. To make efficient database live migration possible, we also introduce the lazy snapshot isolation rule (LSIR) that enables concurrently propagating syncsets, which are the datasets needed to synchronize slave with master databases. Madeus provides efficient database live migration by implementing the LSIR under snapshot isolation. Unlike current approaches, Madeus is pure middleware that is transparent to the database management system and based on commodity hardware and software. To demonstrate the superiority of our approach over current approaches, we experimentally evaluated Madeus by using PostgreSQL with the TPC-W benchmark. The results indicate that Madeus achieves more efficient live migration than three other types of middleware approaches, especially under heavy workloads; therefore, it can effectively resolve hot spots. Copyright © 2015 ACM.

Yamato Y.,NTT Software
Journal of Cloud Computing | Year: 2015

We propose here a technique for automatic verification of software patches for user virtual environments on Infrastructure as a Service (IaaS) Cloud to reduce the cost of verifying patches. IaaS services have been spreading rapidly, and many users can customize virtual machines on IaaS Cloud like their own private servers. However, users must install and verify software patches of the OS or middleware installed on virtual machines by themselves. This task increases the user’s operation costs. Our proposed method replicates user virtual environments, extracts verification test cases for user virtual environments from a test case database (DB), distributes patches to virtual machines in the replicated environments, and executes the test cases automatically on the replicated environments. To reduce test cases creation efforts, we propose an idea of two-tier abstraction which groups software to software groups and function groups and selects test cases belonging to each group. We applied the proposed method on OpenStack using Jenkins and confirmed its feasibility. We evaluated the effectiveness of test case creation efforts and the automatic verification performance of environment replications, test cases extractions, and test case executions. © 2015, Yamato; licensee Springer.

The hosted cloud-based environment will provide a highly scalable end-to-end Platform-as-a-Service (PaaS) business analytics solution for the Japanese market. The offering, named InfoCabina Yellowfin Cloud, combines an initial five-user license for Yellowfin’s 100 percent Web-based consumer-oriented BI solution, and Appresso’s DataSpider ETL tool, with either Amazon’s Relational Database Service (RDS) or Amazon Redshift – AWS’s petabyte-scale columnar data warehouse service for Big Data Analytics. Maintenance, support and upgrades are also included in the monthly subscription-based licensing model, which contains no up-front costs. NTT Software, a subsidiary company of Japanese telecommunications giant NTT, will assist clients with implementation, integration and ongoing management of the InfoCabina Yellowfin Cloud solution. “As a 100 percent Web-based BI solution, Yellowfin is a fantastic fit for deploying Cloud BI on the AWS platform,” said Yellowfin CEO, Glen Rabie. “By partnering with Appresso, NTT Software and AWS, the Japanese market can take advantage of our combined technology and implementation strengths. Together, we are delivering a total PaaS reporting and analytics environment with an incredibly affordable total cost of ownership. “With NTT Software overseeing deployment, configuration, integration and ongoing management of the InfoCabina Yellowfin Cloud solution, Japanese organizations can quickly start performing sophisticated Big Data Analytics, and seamlessly scale throughout the enterprise, as data volumes and usage demands increase.” President and CEO of NTT Software Corporation, Shinichi Yamada, said it was exciting to be involved in a strategic partnership that had the ability to create a new Cloud BI market in Japan. “NTT Software Corporation has agreed to be the official delivery and integration partner for InfoCabina in Japan,” said Yamada. “We’ve done so because we believe the Yellowfin – Appresso – Amazon offering delivers a unique set of innovative technologies that will make cloud-based reporting and analytics financially and technologically accessible to organizations of all sizes in the Japanese market. “NTT Software Corporation will deliver InfoCabina Yellowfin Cloud as a fully-managed hosted environment. Japanese organizations will have all the components needed to quickly begin loading and exploring Big Data at scale in a secure hosted environment on AWS. “Combining Yellowfin’s BI platform, Appresso’s ETL and Amazon’s RDS or Redshift technologies, with NTT Software Corporation’s professional services package, will deliver everything an organization needs to generate fast BI return on investment – from environment set-up, data collection, processing and analysis, to ongoing maintenance and support.” Yamada said that NTT Software Corporation would also offer additional and ongoing consulting, report development and training services to assist clients to “attain superior return on investment” from their InfoCabina Yellowfin Cloud environment. Apresso President, Kazutoshi Ono, said Apresso was “excited to be involved with Yellowfin, Amazon and NTT Software to deliver this pioneering PaaS solution.” “InfoCabina will enable our Japanese clients to develop a fully-fledged world-class BI environment in a very short space of time,” said Ono. “With the data linkage and automation features of Appresso’s ETL tool, DataSpider, InfoCabina clients will be able to quickly and easily combine data from multiple source systems, deliver intuitive reporting and analytics throughout the enterprise with Yellowfin, and power Big Data Analytics with Amazon Redshift.” Senior Manager for Strategic Alliances at Amazon Data Services Japan, Yoshihiro Konno, said that offering Yellowfin to the Japanese market as a fully-managed hosted solution on AWS would help drive Yellowfin’s growth throughout Japan. “Amazon Data Services Japan welcomes the fact that NTT Software has started to provide Yellowfin on AWS,” said Konno. “The scalability of AWS, combined with NTT Software’s fully-managed service delivery, will make sophisticated and intuitive BI capabilities available to companies that may have struggled with the cost and complexities of BI in the past. “InfoCabina on AWS is an ideal service model for those organizations wanting to easily grow their BI environment inexpensively over time as their business grows – they can seamlessly scale up and down as usage demands and data capacities change. With InfoCabina on AWS, organizations will be able to begin performing data analysis quickly, at low costs, with minimal internal resources.” The announcement of the joint InfoCabina Yellowin Cloud solution follows Yellowfin’s release of a free Cloud BI offering on the AWS Marketplace in November 2014 (AWS usage fees apply). The complimentary trial enables organizations to deploy an enterprise-grade BI solution in minutes, which includes a free 12-month three-user subscription license for Yellowfin. Yellowfin’s credentials as a cloud-based BI solution were also recently recognized in the Business Applications Research Center’s (BARC) The BI Survey 14 – the world’s largest annual survey of BI users. Yellowfin was voted the top ranked Cloud BI solution, in the ‘Dashboard’ and ‘Ad-hoc Reporting’ Vendor Peer Groups, for the third year in a row. “Cloud BI is clearly a space that Yellowfin dominates,” said Founder and CEO of BARC, Dr Carsten Bange. “Yellowfin has obviously invested heavily in Cloud BI and was early to market with its solution. Yellowfin’s cloud-based clients reported strong achievement of the business benefits sought from their BI implementations.” NTT is an innovative ICT solutions business and one of the largest companies in Japan. NTT Software is wholly owned by Nippon Telegraph and Telephone Corporation (NTT), providing system integration and networking system solution services based on emerging technologies from NTT R&D laboratories. For more information, visit Appresso KK is a Japanese software vendor that develops, produces, distributes and maintains enterprise infrastructure, storage and integration solutions. Appresso KK has developed a strong reputation, particularly in Japan’s domestic market, for their Enterprise Application Integration, Business Process Management and collaboration products as well as software engineering services. Appresso KK’s flagship data collaboration and ETL product, DataSpider, has been installed at over 1500 end-user premises. Appresso serves a wide range of industries and businesses in Japan and internationally. For more information, visit Yellowfin is a global Business Intelligence (BI) and analytics software vendor passionate about making BI easy. Founded in 2003 in response to the complexity and costs associated with implementing and using traditional BI tools, Yellowfin is a highly intuitive 100 percent Web-based reporting and analytics solution. Yellowfin is a leader in mobile, collaborative and embeddable BI as well as Location Intelligence and data visualization. Over 10,000 organizations, and more than one million end-users across 70 different countries, use Yellowfin every day. For more information, visit Amazon Web Services (AWS) was launched in 2006, and provides a highly reliable, scalable, low-cost infrastructure platform in the cloud. AWS powers over one million enterprise, government and startup organizations in 190 countries around the world. For further media information, interviews, images or product demonstration, please contact: For regular updates and news, follow Yellowfin on Twitter (@YellowfinBI), LinkedIn (Yellowfin Business Intelligence) or email pr(at)yellowfin(dot)bi to subscribe to Yellowfin’s free e-newsletter.

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