DCCS is a testbed enabling development of applications and services using various data and functions by providing them to users as a Web API.

DCCS Features

• Testbed for creating services combining diverse data and Beyond 5G
• Providing value of using NICT's strengths, such as NICT-owned data and advanced technologies
• Development environment for new services using B5G networks
• Rapid verification and introduction into practical use encouraging new services, by accumulating and sharing application samples and use cases with users
• Data and functions developement in cooperation with external organizations (Testbed Sub-Committee, joint research, etc.)

System Overview

The data linkage and analysis functions provide capabilities to combine and analyze various data, recognizing, discovering, and predicting events that are occurring. It can be used as a development environment for systems that perform predictions, mainly targeting weather data and environmental data, through Web API services. In addition, a system that predicts the Air Quality Index (AQI), which indicates air quality ("Environmental Quality Short-Term Prediction"), is also provided as a sample application that serves as a base or reference for users during development. Using these development environments and sample applications, users can also develop predictive systems using data they collect independently.

Sample applications using the data linkage and analysis functions, as well as the environmental quality short-term prediction, are available for public use. Please refer to them for your reference.

• DCCS Sample Application

The Multilingual Speech Translation Platform provides functions for speech recognition, multilingual translation, and speech synthesis, and by integrating these functions, it enables live speech translation that translates inputted speech and outputs the result as speech. Please note that the translation function is designed for short conversational sentences and does not support long sentences.

The languages targeted by the Multilingual Speech Translation Platform are as follows.

Target Languages (13 Languages)

Japanese, English, Simplified Chinese, Traditional Chinese, Korean, Thai, French, Indonesian, Vietnamese, Spanish, Myanmar(Burmese), Filipino, Brazilian Portuguese

Additionally, each function is provided through an API with interfaces for WebSocket and HTTP protocols.

	Function Overview	Corresponding API
		WebSocket API	HTTP API
Speech Recognition	It recognizes the inputted speech and outputs it as text.	〇	〇
Multilingual Translation	It translates the inputted text and outputs it as text.	〇	〇
Speech Synthesis	It synthesizes the inputted text and outputs it as speech.	〇	〇
Live Speech Translation	It translates the inputted speech in real-time and outputs it as speech.	〇	-

The SpatioTemporal Data GIS Platform provides meteorological data and GIS data. For detailed information about the data and usage policies, please refer to the data catalog.

　　　　　

Data	Overview
Himawari Satellite Numerical Data (Archive)	You can download numerical data from all Himawari satellites, from Himawari 1 launched in 1977 to the current Himawari 8 and 9. This data is useful for long-term weather data analysis using historical data. (Data source: Japan Meteorological Agency)
Himawari Satellite Numerical Data (Real-time)	You can download real-time numerical data from Himawari 8 and 9 within the last 24 hours (Himawari standard data, NetCDF data). (Data source: Japan Meteorological Agency)
Himawari Satellite Visible Light Images	You can download visible light images from Himawari 8 and 9. These are color images created from three visible bands (Blue: 0.47μm, Green: 0.51μm, Red: 0.64μm). There are images provided by the Japan Meteorological Agency with standard color tones, as well as images provided by NICT with enhanced brightness through color tone transformation.
	Images provided by the Japan Meteorological Agency		Images provided by NICT
Himawari Satellite Cloud Tile Images	The Japan Meteorological Agency provides Band 3 images from Himawari 8 and 9 (Japan region, Asia and Oceania region), which have been converted into tile images for GIS applications. With the cooperation of Center for Environmental Remote Sensing (CEReS), Chiba University, coordinate transformations have been performed to make it easier for users to access. The data can be accessed using the XYZ method. (Data source: NICT)
Solar radiation and related meteorological data created based on Himawari satellite data. (Numerical data, tile images)	This is real-time numerical data for Japan as well as the Asia-Oceania region, including surface-level solar radiation, photovoltaic (PV) output analysis values, temperature, wind speed, and wind direction. Using this numerical data, various meteorological analyses can be conducted on a 1 km mesh scale for the Japan region and a 4 km mesh scale for the Asia-Oceania region.(Data provided by: NPO Solar Radiation Consortium) The image data consists of scalable pyramid tile images that visually represent surface-level solar radiation, temperature and humidity, as well as wind speed and direction for Japan and the Asia-Oceania region, using color mapping based on numerical data. The data is accessible via the XYZ tile format.(Data provided by: NICT)
	Solar Radiation	Surface Temperature	Surface Relative Humidity	Surface Wind Direction/Wind Speed
High-resolution Precipitation Nowcast Data （Numerical data(in preparation)、Tile Image）	The high-resolution precipitation nowcast data (in GRIB2 format) is numerical data that has been converted for convenience. This numerical data can be used for data analysis at a 250m mesh resolution. Tile images are scalable pyramid tile images that use color mapping to make linear precipitation bands and localized heavy rainfall (guerrilla downpours) easier to visualize, based on numerical data. These images can be accessed using the XYZ tile format. By using these image data, it is possible to view them in real time on GIS applications and compare them with various meteorological and GIS data.(Data provided by: Weathernews Inc.)

The Spatiotemporal Data GIS Platform Project provides WebGIS applications and useful APIs and libraries for developing WebGIS applications, using data provided by DCCS. Please refer to these resources. Below, we introduce examples of WebGIS application development.

• On the Local Himawari　WebGIS application, various meteorological data can be overlaid and compared. Among the publicly available APIs and libraries, the Timeline plugin is used, which allows for easy integration of a time axis bar into web pages.

For information about the DCCS trial, please see this page.

When using DCCS, please comply with the respective terms and conditions according to the functions and platforms you intend to use.

■Reference

• Terms of Use for Information Assets
• Terms of Use for the Multilingual Speech Translation Platform
• Terms of Use for the SpatioTemporal Data GIS Platform