Knowledge Discovery Research Laboratories

Discovery, Japan

Knowledge Discovery Research Laboratories

Discovery, Japan

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Machida F.,Knowledge Discovery Research Laboratories | Kohno S.,Knowledge Discovery Research Laboratories | Maebara K.,NEC Corp | Nakagawa M.,NEC Communication Systems Ltd.
Proceedings of the 11th International Conference on Network and Service Management, CNSM 2015 | Year: 2015

Mobile thin-client services are gaining lots of attention from companies who concern about the security yet recognize the benefits of mobile computing in their businesses. The service is based on a private cloud system hosting virtual machines that can execute mobile OS instances. The owner of the private cloud needs to prepare sufficient server resources for hosting those virtual machines. In this paper, we propose a framework to guide server procurement decisions in a private cloud for mobile thin-client service, which aims to minimize the cost of unused servers while avoiding service level violation due to the lack of resources. To make a timely server procurement decision, the framework combines the techniques for workload estimation to individual VMs, demand estimation of newly created VMs and repetitive simulation of VM replacement algorithm. Through a simulation study, we show that the proposed framework can reduce the cost of unused servers by 25% while satisfying a service level, compared with a time-based heuristic decision method. © 2015 IFIP.


Otsuka N.,1st Manufacturing Industries Solutions Division | Nishina M.,Manufacturing and Process Industries Systems Development Division | Higashihara K.,Global Products and Services Development Division | Umezu K.,Knowledge Discovery Research Laboratories | And 4 more authors.
NEC Technical Journal | Year: 2015

The optimization of spare parts inventories is an issue that is commonly found in the manufacturing industry. NEC Fielding, who are the subsidiary of the NEC Group and manage the maintenance business, also have similar concerns, because traditional statistical techniques have had limited accuracy in predicting the future demand for repair parts. The company therefore has decided to adopt NEC's big data analysis technology "heterogeneous mixture learning." This has enabled them to forecast demands with high accuracy. They have thereby succeeding in reducing by about 20% the inventory of the high-rotation parts that occupy a large share of the spare parts shipments. As the stockout risk is also estimated, this approach has allowed the company to challenge a more thorough optimization of the inventory. This paper describes the spare parts demand forecasting procedures performed at NEC Fielding by using the heterogeneous mixture learning engine and includes discussion of its resulting effects.


Fujimaki R.,NEC Laboratories America Inc. | Morinaga S.,Knowledge Discovery Research Laboratories
NEC Technical Journal | Year: 2012

Recently, the acquisition of knowledge from big data analysis is becoming an essential feature of business efficiency. However, the analysis of big data can be troublesome because it often involves the collection and storage of mixed data based on different patterns or rules (heterogeneous mixture data). This has made the heterogeneous mixture property of data a very important issue. This paper introduces "heterogeneous mixture learning," which is the most advanced heterogeneous mixture data analysis technology developed by NEC, together with details of some actual applications. The possibility of the utilization of data that has previously been collected without any specific aim is also discussed.


Tsuchida M.,Knowledge Discovery Research Laboratories | Ishikawa K.,Knowledge Discovery Research Laboratories | Kusui D.,Knowledge Discovery Research Laboratories | Kusumura Y.,Knowledge Discovery Research Laboratories | Nakao T.,Knowledge Discovery Research Laboratories
NEC Technical Journal | Year: 2012

Since a huge amount of the texts included in big data consists of data created by humans for communicating information or expressing intentions to other humans, it is an important information source containing valuable information. NEC is tackling the development of technology for extracting "customers' voices" and "rumors" from large amounts of text data and for utilizing them in marketing, corporate risk management and customer management. This paper introduces some of the recent research results of NEC. Included are: the recognizing textual entailment technology for recognizing included relationships of semantic content between texts, the technology for rumor detection from cyber information and the semantic search technology for improving the operation efficiency of contact centers.


Tanikawa Y.,Knowledge Discovery Research Laboratories | Okubo R.,Knowledge Discovery Research Laboratories | Fukuzumi S.,Knowledge Discovery Research Laboratories
NEC Technical Journal | Year: 2014

Usability has recently been increasing in importance for business information systems. In response to this trend, NEC is developing a software engineer support method to enable the efficient development of systems with higher usability. The support method is being developed with the viewpoint that it is important to clarify usability-related customer needs during upstream processes of system development. This method consists of a procedure for deriving usability-related customer needs from the properties of the target system's users and tasks and connecting them to usability requirements. The verification experiments of this method succeeded in recognizing the validity of the output requirements and the effectiveness of the method. This paper introduces this method for supporting the clarification of customer needs.


Ikegami T.,Knowledge Discovery Research Laboratories | Tanikawa Y.,Knowledge Discovery Research Laboratories
NEC Technical Journal | Year: 2014

In recent years, providing countermeasures to human error has become increasingly important among business operation systems. This trend is especially significant in the fields of aerospace and medical treatment, in which social solutions with high security and reliability are essential. We have developed a Color Combinations Evaluation Method to reduce human error and have applied it to an air traffic control system. This method quantifies three requirements for color combinations that are effective in reducing human error: "Harmony," "Visual attention of important information" and "Fatigue of eyes." It also quantifies "user's perceptual load" that users might receive from color combinations. Developers can determine the optimal color combinations based on calculated value. This paper introduces the Color Combinations Evaluation Method and its practical applications.


Yanoo K.,Knowledge Discovery Research Laboratories | Furumaki K.,Knowledge Discovery Research Laboratories | Izukura S.,Knowledge Discovery Research Laboratories | Sakaki H.,Knowledge Discovery Research Laboratories
NEC Technical Journal | Year: 2015

Even with system integration in the cloud computing, platforms need to be designed that are customized with non-functional requirements to meet the specific needs of each customer while still providing combined infrastructure and service. The effectiveness of model-based design can be enhanced in a cloud environment as the design process can be automated using software. This paper discusses model-based platform design support technology (CARDO) targeted at system integration in the cloud computing. © 2015, NEC Mediaproducts. All rights reserved.


Mizuguchi H.,Knowledge Discovery Research Laboratories | Ishizawa Y.,Knowledge Discovery Research Laboratories | Muraoka Y.,Knowledge Discovery Research Laboratories | Nakao T.,Knowledge Discovery Research Laboratories
NEC Technical Journal | Year: 2013

NEC has been developing a technology that can lead to one-to-one communication activity by offering topics to encourage conversation. By supporting communication, this technology will be able to prevent the isolation of the elderly and the detachment of youth from the community. These are two issues that become important social problems. In our user trials, we provided users with news articles for topics. As a result, we found that the amount of communication increased twofold compared to using conventional technologies. We also conducted a field trial of this technology at the temporary housing for victims of the 2011 Tohoku Earthquake and found that there was great interest in topics related to reconstruction and residents' associations.

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