IT

This is a part of the technology seeds we introduce. If you are interested in the utilization and details of the technology seeds, please feel free to contact us.We will check your request and coordinate with seeds offering partner. ​

  • Select Technology Field

  • Keyword

Positioning system and positioning method

IT

Positioning system and positioning method

Position information plays an important role in preventing pedestrian accidents by pedestrian-to-vehicle communication. But the computation of pedestrian position, based on GPS, may fail in urban canyons due to the obstruction of roadside building. This problem can be solved by using vehicles and roadside units as anchors for pedestrian positioning, where trilateration is used to compute pedestrian position based on distances to anchors. But the performance is degraded by multipath propagation and limited by the time resolution.
To address this problem, in this work, we investigate how phase information of OFDM signals in V2X communications varies with the propagation distance, and exploit the phase difference of arrival to estimate the distance difference. We study how to deal with the inter-symbol interference in OFDM symbols and combine multiple estimations of distance difference to improve the accuracy

Encrypted control technology

IT

Encrypted control technology

Encrypted control is a next-generation control technology that provides secure implementation of control algorithms, such as PID controls, to be processed in ciphertext.
The secure implementation of the encrypted control is realized by integrating confidential computation (public-key homomorphic encryption schemes) into the computation of control algorithms. As a result, control parameters and communications including sensor measurement and control signals can be kept secret in operating the control system. One of the features of the encrypted control technology is that the control parameters are encrypted, which means the original (unencrypted) control parameters do not need to install to a control unit.
Another feature is that the encrypted control system does not need to keep the private key inside a controller unit, so key management costs and the risk of key leakage can be reduced. Moreover, we can use a secure protocol together with the encrypted control technology.
Furthermore, we developed "a dynamic-key (key-updatable) encryption scheme" which is a new encryption scheme suitable for encrypted control. The developed makes it possible to update the public and private keys in milliseconds (in place of the key generation process) without running a key-generation algorithm. Therefore, we can construct a more secure control system against cyberattacks such as a replay attack.

Memorism Processor (Search-Less information Detector)

IT

Memorism Processor (Search-Less information Detector)

Memorism Processors are processors that takes over “processing that requires data detection”, which conventional processors such as CPU and GPU struggle with.
The division of tasks between conventional processors and Memorism Processors enables a “renewal of computers that literally modernizes the information processing industry”, transforming them into user and environmentally friendly computers.
Current information processing, since current computers (von Neumann-type computers) were born in 1946, CPUs, memory, and peripherals have undergone major performance improvements, but the systems have not evolved at all.
This generated the following problems that we have today:Future information processing society In the future, the information processing industry will not only need to adapt to a low-carbon society, but also make good use of technologies such as AI, IoT, and Big Data. As the semiconductor miniaturization technology known by Moore’s law approaches its limit, enhancing the performance of CPUs and GPUs will become increasingly more difficult and will require innovations that are not tied to past common sense ideas and values concerning information processing.

Virtual fashion show where you can buy clothes

IT

Virtual fashion show where you can buy clothes

We integrated multiple deep techs to create a virtual fashion show where real clothes can be purchased. The fashion show is semi-interactive, allowing customers to check the texture and size of clothing before ordering.
To tell the specific technologies, avatar generation, motion generation, music generation, clothing pattern creation, and fabric texture creation, all use different software, which are integrated on physical simulation software. Fabric textures are captured in high quality from real cloth using our own texture scanner.
Of course, the clothing patterns are not fictitious, but producible patterns are provided. A website for online purchasing is also available.
See also the attached video under development. Note that the fabric patterns in the video are fictitious generated by AI.

Development of Metal Myoelectric Hand Prothesis with Lightweight and Robust Optimal Design generated by Generative Design

Medical Engineering Collaboration / Life SciencesITManufacturing

Development of Metal Myoelectric Hand Prothesis with Lightweight and Robust Optimal Design generated by Generative Design

We have developed a lightweight and robust metal myoelectric prosthetic hand using an optimization design tool called Generative Design. As a result, we were able to achieve the lightest weight while maintaining the robustness required for myoelectric prosthetic hands. Furthermore, by introducing a torsion spring with moving parts only in the gripping direction at the joins of the four-finger bases, the necessary pinch force (force to grasp an object) is ensured while receiving an unexpected external force.

Neural network algorithm that evaluates and outputs image quality with the same precision as human subjectivity

IT

Neural network algorithm that evaluates and outputs image quality with the same precision as human subjectivity

Up to today, the evaluation of image quality was performed by statistically processing and quantifying the subjective assessments of a large number of people, which requires many work processes. In our laboratory, we have developed an algorithm that uses neural networks to output image quality evaluation with the same precision as human subjectivity. On top of the immediate output, it is also possible to analyze image quality degradation factors such as light effects (shadows, lighting, etc.) and compression. Moreover, the technology may be applicable to video and audio quality evaluation also. For example, applications to image inspections, onboard cameras, robot vision, etc. could be possible.

The combination of measurement wavelengths can be freely selected. Multispectral camera

Medical Engineering Collaboration / Life SciencesITManufacturing

The combination of measurement wavelengths can be freely selected. Multispectral camera

It's a venture company in university. We have developed a multispectral camera to extract and analyze the reflection spectrum of any (6bands) (+ RGB : 3 bands) in a wide range of wavelengths from visible to near-infrared (350 nm to 1050 nm). We can see the material properties that we couldn't see from our own spectral functions. It is cheaper than a hyper-spectral camera or an overseas multi-spectral camera. It can be applied to various uses such as inspection and analysis. We offer flexible suggestions to customers, such as equipment sales, customization, etc.

Safer and low-cost breast cancer examination technology by utilizing microwave radar and tomography

ITManufacturing

Safer and low-cost breast cancer examination technology by utilizing microwave radar and tomography

X-ray mammography is used for breast cancer examination, but females’ acceptance rate of examination is only about 15% because the X-ray based examination causes radiation exposure and strong pain with high pressure to the breast.
In order to develop a more comfortable and frequent breast cancer examination technology, we focused on microwave mammography apparatus utilizing a physical basis for the high contrast of complex permittivity between cancer cells and normal cells. Finally, we developed a highly accurate cancer detection method by combining unique radar technology called as PRM (Range Points Migration) method and the tomography technology, also introducing machine learning system upon artificial intelligence. This new examination technology can detect cancer cells less than 1 cm on the early stage.