Systems Engineering Consultants Co.

Tokyo, Japan

Systems Engineering Consultants Co.

Tokyo, Japan

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Murata K.T.,Japan National Institute of Information and Communications Technology | Pavarangkoon P.,Japan National Institute of Information and Communications Technology | Yamamoto K.,Japan National Institute of Information and Communications Technology | Nagaya Y.,Japan National Institute of Information and Communications Technology | And 5 more authors.
Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016 | Year: 2016

With the tremendous development of remote sensing technologies, large-scale data sets are collected from environmental and meteorological sensors. Edge computing for large-scale data sets is hard to be conducted in real time on the sensors, thus data transfer to cloud system and data processing play an important role. One of the barriers in such system is high-speed data transfer on long-distance networks. Even low packet loss condition leads to decrease in throughput by conventional transmission control protocol (TCP)-based tools. In this paper, we overcome this issue by proposing a high-performance data transfer tool to improve real-time data processing of phased array weather radar on long-distance networks. The proposed tool, called high-performance copy (hcp), is designed based on an open source tool for file copy operations and implemented using our socket library specialized for long-distance networks. We evaluate our tool with simulations and real data transfer scenarios. The results show that the hcp enables concurrent data transfer from radar sites to cloud system (data processing site) in real time. The throughput of data transfer from a radar site to a data processing site increases from 40 Mbps using the conventional TCP-based tool to 489.2 Mbps using the hcp. © 2016 IEEE.


Murata K.T.,Japan National Institute of Information and Communications Technology | Pavarangkoon P.,Japan National Institute of Information and Communications Technology | Suzuki K.,Japan National Institute of Information and Communications Technology | Yamamoto K.,Japan National Institute of Information and Communications Technology | And 8 more authors.
International Conference on Advanced Technologies for Communications | Year: 2016

In communication systems using geostationary orbit satellites, throughput of transmission control protocol (TCP) is limited due to the impact of latency on network and packet loss caused by signal attenuation in severe weather conditions like heavy rain. It is high time to develop network techniques and applications in broadband communications over the gigabit satellite and the high throughput satellite (HTS). In this paper, we introduce a high-speed data transfer protocol, named highperformance and flexible protocol (HpFP), to achieve high throughput over a geostationary satellite link even in severe weather conditions. The HpFP is firstly evaluated on a laboratory experiment simulating a geostationary orbit satellite link. It is clarified that the HpFP shows high throughputs even when the packet loss ratio (PLR) is 0.01%. We next carry out a field experiment using the Wideband InterNetworking engineering test and Demonstration Satellite (WINDS). The performance of the HpFP over single, dual, and multiple connections are evaluated. The result shows that the aggregate throughput of dual connections of HpFP almost reaches to the maximum bandwidth, and the time to the maximum bandwidth is within 3 sec which is over 20 times faster than that by the TCP. For multiple connections, the HpFP shares the bandwidth equally among all 50 connections. © 2016 IEEE.


Imai K.,Japan Aerospace Exploration Agency | Manago N.,Chiba University | Mitsuda C.,Fujitsu FIP Corporation | Naito Y.,Kyoto University | And 27 more authors.
Journal of Geophysical Research: Atmospheres | Year: 2013

The Superconducting Submillimeter-Wave Limb-Emission Sounder (SMILES) onboard the International Space Station provided global measurements of ozone profiles in the middle atmosphere from 12 October 2009 to 21 April 2010. We present validation studies of the SMILES version 2.1 ozone product based on coincidence statistics with satellite observations and outputs of chemistry and transport models (CTMs). Comparisons of the stratospheric ozone with correlative data show agreements that are generally within 10%. In the mesosphere, the agreement is also good and better than 30% even at a high altitude of 73 km, and the SMILES measurements with their local time coverage also capture the diurnal variability very well. The recommended altitude range for scientific use is from 16 to 73 km. We note that the SMILES ozone values for altitude above 26 km are smaller than some of the correlative satellite datasets; conversely the SMILES values in the lower stratosphere tend to be larger than correlative data, particularly in the tropics, with less than 8% difference below ∼24 km. The larger values in the lower stratosphere are probably due to departure of retrieval results between two detection bands at altitudes below 28 km; it is ∼3% at 24 km and is increasing rapidly down below. © 2013. American Geophysical Union. All Rights Reserved.


Kunitake M.,Japan National Institute of Information and Communications Technology | Yamamoto K.,Japan National Institute of Information and Communications Technology | Watari S.,Japan National Institute of Information and Communications Technology | Ukawa K.,Japan National Institute of Information and Communications Technology | And 5 more authors.
Data Science Journal | Year: 2013

Cross-sectional studies have become important for an improved understanding of various Solar-Terrestrial Physics (STP) fields, given the great variety and different types of observations from the Sun to the Earth. In order to better combine, compare, and analyze different types of data together, a system named STARS (Solar-Terrestrial data Analysis and Reference System) has been developed. Cross-sectional study requires cooperative work. STARS has two functions for cooperative work, the "Stars Project List (SPL)" and the "Event Listing". The SPL is used for exchanges of plotting information by cooperating persons. The event list database provides all users of STARS hints for recognizing typical occurrences of STP phenomena.


Murata K.T.,Japan National Institute of Information and Communications Technology | Watari S.,Japan National Institute of Information and Communications Technology | Nagatsuma T.,Japan National Institute of Information and Communications Technology | Kunitake M.,Japan National Institute of Information and Communications Technology | And 13 more authors.
Data Science Journal | Year: 2013

It is often discussed that the fourth methodology for science research is "informatics". The first methodology is a theoretic approach, the second one is observation and/or experiment, and the third one is computer simulation. Informatics is a new methodology for data intensive science, which is a new concept based on the fact that most scientific data are digitalized and the amount of data is huge. The facilities to support informatics are cloud systems. Herein we propose a cloud system especially designed for science. The basic concepts, design, resources, implementation, and applications of the NICT science cloud are discussed.

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