Rate Effects on Peak and Residual Strengths of Overconsolidated Clay in Ring Shear Tests

Overconsolidated (OC) clay soil is widely distributed in landslide slopes. This soil is often fissured, jointed, contains slickensides, and is prone to sliding. Thus, the shear strength behavior of OC clayey soil is complicated and has received much attention in the literature and in practice in terms of evaluating and predicting landslide stability. However, the behavior of the shear strength of OC clayey soil at different shear rates, as seen in ring shear tests, is still only understood to a limited extent and should be examined further, especially in terms of the residual strength characteristics. In this study, a number of ring shear tests were conducted on kaolin clay at overconsolidation ratios (OCRs) ranging from 1 to 6 under different shear displacement rates in the wide range of 0.02 mm/min to 20.0 mm/min to investigate the shear behavior and rate dependency of the shear strength of OC clay. Variations in the cohesion and friction angles of OC clay under different shear rates were also examined. The results indicated that the rate effects on the peak strength of OC and normally consolidated (NC) clays are opposite at fast shear displacement rates. At the residual state, as with NC clay, the positive rate effect on the residual strength is also exhibited in OC clay, but at a lower magnitude. Regarding the shear strength parameters, the variations in the cohesion and friction angles of OC clay at different shear rates were found to be different at peak and residual states

An automatic acquisition method of statistic finite-state automaton for sentences

PROCEEDINGS OF IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS SPEECH, AND SIGNAL PROCESSIN

カンジョウ ニンシキ オヨビ カンジョウ ソウセイ ニ モトズク チテキ ガクナイ アンナイ ロボット ノ コウチク

Recent years, a huge amount of information is available through the internet, and many information retrievers have been developed. However, these retrievers only show retrieved results without hearty communication. In this paper, an intelligent campus navigation robot is developed. It recognizes a user’s utterance using a speech recognizer, and retrieves information from a knowledge database. Finally, the agent makes an appropriate answer from retrieved results, and give it to the user. In order to communicate with a user warmheartedly, the agent also recognizes user’s emotion from a voice and a facial expression, and the agent represents it’s own emotion using voice and behaviour

The Autonomous System Architecture of the Small SAR Satellite Operation System and On-Orbit Autonomous Operation Experiences

We are developing a small SAR (Synthetic Aperture Radar) satellite for our commercial solution business. Our goal is to deploy at least 30 small SAR satellites in orbit and enable frequent and persistent observations until the Mid 2020s. We launched the satellite on 15th December 2020 by Rocket Lab\u27s Electron. We waited for a month until we took the first image to confirm the complete evacuation of the residual air and contaminations to prevent any hazardous electrical discharge. We took the first image on 8th February. The satellite is now operating in a fine state and acquiring images requested by the customers. We will make six satellite constellation until 2023. We also describe our system architecture including our solution business and the satellite development. Our business development team and the satellite development team are communicating with each other for adequate system architecture and agile satellite development. Our business development team acquires many novel needs from our customers. One of our goals is an agile reflection of the user\u27s needs for the satellite development. We are now establishing a process and an organization to extract those business needs, analyze them and identify the key requirements for the satellite performances and functions. We believe that one important challenge is to achieve application layer integration from a customer business system to a satellite on-board software through solution platform, data platform, satellite control ground system, and the satellite itself. We try to harmonize the software and information processes of the application layer, although the platform where the application is located, the organization where staffs belong, and their culture are different. We wish our activities contribute to our small satellite community or ecosystem and a system architecture including component suppliers, communication service providers, and data processing service providers

チノウ エージェント オヨビ コウガクブ ナビゲーション システム ノ カイハツ

Recent years, a huge amount of information is available through the internet, and many information retrievers have been developed. However, these retrievers only show retrieved results without hearty communication. In this paper, an intelligent agent is developed. It recognizes a user’s utterance using a speech recognizer, and retrieves information from the World Wide Web. Finally, the agent makes an appropriate answer from retrieved results, and give it to the user. In order to communicate with a user warmheartedly, the agent also recognizes user’s emotion from a voice and a facial expression, and the agent represents it’s own emotion using voice and behaviour. We also develop the intelligent campus navigation robot using the proposed intelligent agent. The robot can give a user campus information, chat with a user, and communicate with a user warmheartedly

コウガクブ アンナイ ノ コクサイカ タイオウ プロジェクト

We have developed an intelligent campus navigation robot, which can communicate with a human by speech. It also recognizes user’s emotion from a voice and a facial expression, and the agent represents it’s own emotion using voice and behavior. Inthispaper, we improve the robot to be able to deal with multi languages. It is needed to guide campus information with English, Chinese, and other languages, but it is hard to develop many communication systems each of which corresponds to each language. Therefore, we have introduced a machine translation system in the robot. It realized that the core dialog system can be used for many languages. We also have introduced an ontology as a knowledge representation. It represented a knowledge smaller than conventional representations, and it realized that the robot can accept more various representation as input