こんにちは。研究開発室の岡田です。
前回の記事では、Amazon Chime SDK JSを用いたビデオ会議システムやゲーム配信システム(Among us auto mute)において、複数ユーザのビデオ映像を単一の映像に合成することでデータ通信量を削減する方法をご紹介しました。 今回は、データ通信量を削減する別の方法として、ビデオ映像の送信時には解像度を落として受信後に超解像技術を用いる方法を試みてみましたので、これを紹介したいと思います。
下図が実際にやったときの画像です。一番右側の画像が超解像を使用した結果です。赤線左右で左のほうが高解像度化されています。
画像だと潰れてしまってわかりにくいと思うので、次のリンクから動画をダウンロードして確認してみてください。 download
続きを読むみなさまこんにちは、CI事業部の釜谷です。
フレクトでは、2020年度からMuleSoftに注力しています。
MuleSoftに興味のあるそこの貴方！是非フレクトにご相談ください！！
今回は、Anypoint Platformの機能の１つ「Design Center」の使い方を紹介します。
Design CenterでAPI仕様を作成してみよう。
API仕様作成には、以下の言語を使用します。
次回は、引き続きDesign Centerの使用方法を紹介したいと思います。
本記事で、少しでもMuleSoftに興味を持って頂けたら幸いです！
こんにちは。研究開発室の岡田です。
前回の記事では、Amazon Chime SDK for javascript(Amazon Chime SDK JS)を用いて、"Among usをAuto Muteする機能"と"ゲーム画面を配信する機能"を持つゲーム実況システムを構築する方法についてご紹介しました。
前回のシステムでは、最大15名のユーザのゲーム画面をリアルタイムに配信します。このため、映像を受信する側にはそれなりのネットワーク帯域が前提とされます。また、受信するデータの総量も増えるため今どきの言い方（？）でいうと、長時間使用すると「ギガ」が枯渇しやすくなるとも言えます。さらに、受信した分だけ映像をデコードする必要があるためブラウザのCPU負荷が大きくなります。
今回は、このように多くの映像データを配信する際に、ネットワークの帯域やCPUが制限されるユーザでも映像を受信して表示できるようにするためのアイデアをご紹介したいと思います。
下図はアイデアを動かした結果です。赤矢印の部分が受信データ量です。4.4Mbpsから1.6Mbpsに削減できていますね。
みなさまこんにちは、CI事業部の釜谷です。
フレクトでは、2020年度からMuleSoftに注力しています。
MuleSoftに興味のあるそこの貴方！是非フレクトにご相談ください！！
今回は、以前紹介したAnypoint Platformの機能の１つ「Anypoint Visualizer」について、紹介したいと思います。
アーキテクチャ視覚化
トラブルシューティング視覚化
ポリシー視覚化
次回は、Design Centerの使用方法を紹介したいと思います。
本記事で、少しでもMuleSoftに興味を持って頂けたら幸いです！
This is Shuochen Wang from Flect research lab. Today I am going to focus on the NLP task for the Japanese language. Specifically I am going to demonstrate:
How to use fastText for text classification
The effect of text preprocessing and for text classification.
Table of contents
Natural Language Processing (NLP) allows machines to break down and interpret human language. It is used in a variety of tasks, including text classification, spam filter, machine translation, search engine and chatbots.
To put it simply, text classification is type of NLP task that classifies a set of predefined categories to any text. It is a type of supervised learning.
Introduction
What is text classification?
研究開発室の馮 志聖(マイク)です。 Following the previous article: AR Remote Instructions base on ARKit
This time we will further discuss and explain in detail how to share 3D virtual objects.
The development of science and technology and the popularization of the Internet have brought many conveniences to people, especially the distance is no longer a barrier between each other. Due to the epidemic, the popularity of remote work has been accelerated. Video chat tools are often used in remote meetings, but the scope of applications is still limited, such as:
Case 1: In the factory. In the case of machine equipment failure, a maintenance person cannot arrive immediately because of remote work. When they try to remote maintenance use video chat on guide maintenance. They are impossible to grasp the damage of the equipment in detail, which will increase time and maintenance costs. If they use the AR remote instructions application to scan the target machine, it will have a 3d object with a good structure of the machine. Also sharing this 3d object with the maintenance person. The maintenance person can share the drawing of the mark on 3d object. It will improve this problem.
Case 2: In the field of interior design. The client wants to know whether the designer's work is suitable for his environment. In the absence of any environmental data file where the client is located, the designer only uses video chat, unable to observe the differences and details in detail. If they use the AR remote instructions application to scan the target area(like room or kitchen, etc...) or product(like chair or table, etc...), it will have a 3d object with a good structure and material of the target area or product. Also sharing this 3d object with the designer or client. The designer can add the product to 3d object of the target area, and design its style. The client can add the product to 3d object of the target area, and know whether the designer's work is suitable for his environment. It will improve this problem.
At present, only two cases are cited. Generally speaking, there may be more other cases. Based on various restrictions, we hope to develop software that can break through these restrictions.
続きを読む研究開発室の馮 志聖(マイク)です。
With the rapid development of science and technology and the popularization of the Internet, people are pursuing a better quality of life, and relaxed and happy work has become the first choice. At the same time, many labor-intensive and overtime jobs have gradually appeared in the labor gap. To make up for the labor gap, it is an inevitable trend for robots to replace humans. In our daily life, we often benefit from services provided by robots, such as sweeping robots, restaurant front desk services, home delivery services, etc., Many products we use are also made by robots in factories. To facilitate production, robots have gradually become indispensable.
In recent years, due to the spread of the epidemic and for security reasons, most people choose to work at home. Some software and tools based on remote collaboration have gradually gained attention. Among them, video chat services, which can increase the chances of discussions, especially have grown dramatically. The fluency of meetings allows members to quickly reach a consensus. For this reason, remote work is becoming no longer a barrier, but remote collaboration also has many limitations. Many researchers and developers have discussed how to break through these limitations.
What is the correlation between the above two? For example, in the following two situations, remotely controlling the robot would be a better choice. First, there are some areas in the world that are hazardous to humans or living things. The remote control can allow robots to perform tasks in these dangerous areas. Second, some emergency tasks require the assistance of senior personnel from other countries. Based on the epidemic, time, and distance considerations, remote control robots can be used to perform tasks.
In this blog, we will discuss a fast and effective way to establish a simple interface operation and monitoring robot system, and verify the feasibility of remote execution of tasks.
続きを読む
