JAMIOLAS 2.0: Supporting to Learn Japanese Mimetic Words and Onomatopoeia with Wireless Sensor Networks

نویسندگان

  • Masayuki Miyata
  • Hiroaki Ogata
  • Tomoo Kondo
  • Yoneo Yano
چکیده

This paper proposes an improved context-aware language supported system for learning Japanese mimetic words and onomatopoeia (MIO) using wireless sensor network “MOTE”. In our previous work, a learner wears sensors so that the system provides the appropriate MIO expressions at his/her place. In this current system called JAMIOLAS (Supporting Japanese Mimetic words and Onomatopoeia Learning with Sensors for Non-Japanese) 2.0, MOTE is used to get appropriate data from the environment, for example, temperature and light. The system recommends the right place for the right person to learn right MIO expressions. This paper describes the implementation, the interface and usage scenario of JAMIOLAS 2.0.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

JAMIOLAS2: supporting Japanese mimetic words and onomatopoeia learning with wireless sensor networks for overseas students

This paper proposes an improved context-aware language supported system for learning Japanese mimetic words and onomatopoeia (MIO) using wireless sensor network “MOTE”. In our previous work, a learner wears sensors so that the system provides the appropriate MIO expressions at his/her place. In this current system called JAMIOLAS (Supporting Japanese Mimetic words and Onomatopoeia Learning with...

متن کامل

JAMIOLAS 3.0: Supporting Japanese Mimicry and Onomatopoeia Learning Using Sensor Data

In this article, the authors propose an improved context-aware system to support the learning of Japanese mimicry and onomatopoeia (MIO) using sensor data. In the authors’ two previous studies, they proposed a context-aware language learning assistant system named JAMIOLAS (JApanese MImicry and Onomatopoeia Learning Assistant System). The authors used wearable sensors and sensor networks, respe...

متن کامل

LPKP: location-based probabilistic key pre-distribution scheme for large-scale wireless sensor networks using graph coloring

Communication security of wireless sensor networks is achieved using cryptographic keys assigned to the nodes. Due to resource constraints in such networks, random key pre-distribution schemes are of high interest. Although in most of these schemes no location information is considered, there are scenarios that location information can be obtained by nodes after their deployment. In this paper,...

متن کامل

An Adaptive Congestion Alleviating Protocol for Healthcare Applications in Wireless Body Sensor Networks: Learning Automata Approach

Wireless Body Sensor Networks (WBSNs) involve a convergence of biosensors, wireless communication and networks technologies. WBSN enables real-time healthcare services to users. Wireless sensors can be used to monitor patients’ physical conditions and transfer real time vital signs to the emergency center or individual doctors. Wireless networks are subject to more packet loss and congestion. T...

متن کامل

Coverage Improvement In Wireless Sensor Networks Based On Fuzzy-Logic And Genetic Algorithm

Wireless sensor networks have been widely considered as one of the most important 21th century technologies and are used in so many applications such as environmental monitoring, security and surveillance. Wireless sensor networks are used when it is not possible or convenient to supply signaling or power supply wires to a wireless sensor node. The wireless sensor node must be battery powered.C...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008