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Miyazaki S.,Transportation and City Infrastructure Division | Miyano H.,Information and Media Processing Laboratories | Ikeda H.,Information and Media Processing Laboratories | Oami R.,Information and Media Processing Laboratories
NEC Technical Journal | Year: 2015

There is a growing need to address various social issues by applying image recognition technologies in surveillance cameras, thereby contributing to the realization of a safer and more secure society. In this paper we will introduce a crowd behavior analysis technology that utilizes NEC's image recognition technology, and as a specific example of its implementation, a new congestion estimation system based on this technology. Source


Iwase Y.,Transportation and City Infrastructure Division | Saijou M.,Transportation and City Infrastructure Division
NEC Technical Journal | Year: 2015

Since the opening of the Tohoku and Joetsu Shinkansen lines, the Centralized Information Control (CIC) system has been supporting safe and stable transportation. In order to cope with the increased speeds and volume of data transmission, NEC has adopted some innovative solutions. These have been deployed by East Japan Railway Company as an updated version of the CIC system and are contributing to the efficient supervision and maintenance of the system as well as to transportation safety. This paper summarizes the upgraded CIC system and discusses its features. Source


Kitamura M.,Transportation and City Infrastructure Division | Yamanaka Y.,Transportation and City Infrastructure Division | Orita K.,Transportation and City Infrastructure Division | Shimada T.,Transportation and City Infrastructure Division | Nakase S.,Transportation and City Infrastructure Division
NEC Technical Journal | Year: 2016

Year after year, unit prices of electricity in Japan have been going up, increasing the burden on ratepayers. To help electricity consumers manage their consumption and exert greater control over their costs, NEC has been pushing forward with the development of a Building Energy Management System (BEMS) capable of forecasting demand for electricity and controlling the facilities accordingly. In this paper, we will take a closer look at our electricity demand prediction system and show how we have elaborated on it to create a system that will help make operations smarter as exemplified by the system we configured for, and delivered to, Obayashi Corporation Technical Research Institute. Also introduced is another case study in which the knowledge gained from the Obayashi Corporation deployment was applied to NEC Tamagawa Plant, Building 9. Source


Matsumoto K.,A+ Network | Nishiyama T.,Transportation and City Infrastructure Division | Matsumoto Y.,Transportation and City Infrastructure Division | Nagai H.,Transportation and City Infrastructure Division | Yokoyama T.,Transportation and City Infrastructure Division
NEC Technical Journal | Year: 2015

The complicated network layouts around stations may impose delays on the timely implementation of planned new services. East Japan Railway Company (JR-EAST) has been facing such an issue that has been resolved by using the "common station network" (JR-STnet) that employs an SDN solution. This strategy enables the timely updating or upgrading of a network without physically necessitating the construction of another network. This paper discusses NEC SDN Solutions introduced to the "common station network" at Tokyo station. Source


Yoshinaga N.,Transportation and City Infrastructure Division | Hino I.,Transportation and City Infrastructure Division | Terasawa S.,Transportation and City Infrastructure Division | Maeda K.,Transportation and City Infrastructure Division | And 2 more authors.
NEC Technical Journal | Year: 2016

A power plant is required to operate safely, stably and efficiently so that the consumers may use electricity confidently. On the other hand, since the occurrence of faults is unavoidable, early detection and counteraction against faults are crucial. However the traditional method of monitoring threshold values of sensors have in some cases difficulty in the early detection of fault signs. The power plant fault sign monitoring system that has been developed by NEC in collaboration with power companies employs a proprietary big data technology called the system invariant analysis technology (SIAT) to detect signs of equipment faults early on and accurately by capturing any "unusual" behavior of the plant. In addition, NEC is also developing functions leading to the improvement of plant operations, with the aim of contributing to maintaining stable power supply by the power companies. Source

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