This research develops the RT-Seed middleware for real-time trading systems in order to realize automatic trading for stocks and exchanges. RT-Seed can guarantee timing constraints and improve quality of trading strategy. Therefore, software platforms for real-time trading systems can be realized.

Currently, core network is not enough efficiently. By assigning resources (bandwidth) according to the characteristics of the application, taking into account Quality of Experience (QoE) of users, efficient use of the network is achieved.

We are developing FPGA-based hardware accelerators for various NOSQL storages that cover key-value store, column store, and graph database.

The spread of IoT, sensors, smartphones, and wearable terminals cause large traffic amount and increasing number of terminals. In addition, services have been diversified including mission critical services such as data center access and mobile back hole. In order to solve this problem, researches are conducted toward the development of “5G,” a next-generation mobile communication system. As the 5G infrastructure, multi-QoS, multi-service Elastic Lambda Aggregation Network having multi-virtual service network has been proposed.

Currently, transaction platforms for application software and contents such as music or movie video are available via Amazon and App Store. With coming of IoT era, we think a transaction platform for sensor data is also needed. IoT sensor needs huge number and huge data send into the network. However, such data is not friendly to the user or application. For this application, we have been developed IoT trading platform having transaction, charging and pre-data processing capability. And also platform has data abstraction called virtual sensor functions.

Recently, atmospheric aerosols such as PM2.5 are of serious concern for human health. Physical and chemical properties of aerosols such as chemical composition, surface area and surface potential are important as they provide metrics for their adverse health effects. We develop original methods to measure them based on atmospheric chemistry and aerosol engineering.

In ultrasonic cleaning, bubbles are nucleated acoustically in water and their oscillations contribute to the removal of contaminant particles at target surfaces. However, violent bubble collapse often gives rise to material damage. Here, we aim to develop a damage-free ultrasonic cleaning technique based on mild dynamics of bubbles driven by low-intensity sonication.

We are developing a terahertz polarization measurement system in order to, for example, investigate internal stress distribution in plastic samples. In this panel, we introduce a current state of the equipment, and its application.

The magnonics has a potential to realize ultralow-power consumption devices with powerful signal processing. By utilizing the magnetism, the magnonics will exceed the semiconductor-based signal processing. This project seeks for a high efficient use and a new function of magnetic materials.

This project develops microthermofluidic devices for life science research by the integration of microfluidic devices, which have been developed from the standpoint of bioengineering and bioMEMS, and micro-optical detection systems, which have been developed from the standpoint of thermal engineering and optical MEMS.

We reported the present status and future prospect of nano-carbon interconnect technologies (CNT vertical and graphene horizontal interconnects). Their superior electrical properties for replacing Cu interconnects were demonstrated. This work was performed as “Ultra-Low Voltage Device Project” funded and supported by METI and NEDO.

Activities of the International Electrotechnical Commission (IEC) for Nanoelectronics (TC113) and our latest proposals on characterization methods for organic/nano-devices from Japan. This study was supported by the Joint R&D Project of International Standards funded by METI.

Transformation of force sensation between remote areas is realized by bilateral control with master-slave robots. In this control, position tracking and the action-reaction law achievement are realized. In our study, the technology is applied to medical robots, and we aim to support the operators with transmission of force sensation.