Our Business
Services
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Research Paper Implementation
Implement specified research papers as software.
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Algorithm Implementation
Make modules or APIs of specified algorithms as you request.
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Simple Tool Creation
Make simple application of numerical or statistical analysis at a low price.
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Research Software Development
Create software for academic research. We can also speed up existing software or add functionalities to existing software.
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Consigned Research Services
We can execute parts of your research, including surveying papers, developing necessary systems, validation, and preparing reports.
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Large Language Models
Develop large language models for practical applications to meet a wide range of needs, from practical applications to pure research purposes.
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Optimization Software Development
Develop optimization software to find optimal solutions to problems with various constraints.
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Automated Analysis
Using RPA (Robotic Process Automation), build systems for efficient analysis.
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Neuroscience Software Development
Develop software tailored to the needs of each individual researcher in the field of neuroscience.
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Food Science Software Development
Supports a wide range of food processing stages from experimental design to analysis of results.
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Geophysical Exploration and Nondestructive Testing
Develop software for signal processing of measurement data, simulation, and data assimilation.
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Quantum Beam Research Software Development
Develop specialized software to implement and accelerate the algorithms used in quantum beam research.
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Business Cases
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Observer evaluation support software using item response theory - development
We developed an observational assessment support software that can take into account the rater's level of severity by using item response theory.
Severity refers to the strength of the rater's tendency to rate the performance strictly (or leniently).This software consists of an evaluation tool and a management tool.
Assessment tools are software used to assess a subject, which takes into account the severity of the evaluator's own severity and allows for a common scale that is independent of the evaluator.
Management tools can create evaluation tools with parameters tuned to take into account the severity of the evaluator, using a statistical model that takes severity into account. It can also quantitatively determine whether each evaluator is able to evaluate from the same perspective as the other evaluators. Using the results of this analysis, licences can be issued to give access to the evaluation tool to evaluators whose evaluations meet the criteria for quality.
- Technologies
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- Python
- Item Response Theory
- Rasch Model
- Social Psychology
- Psychometric Scales
- Bayesian Models
- Multiple OS
- JAX
- AMPS
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High-speed detection of obstacles when traveling with moving objects - R&D
As an assistive technology to help moving objects avoid hazards during automatic driving, we have developed an algorithm to detect obstacles at high speed from images acquired by a camera in the direction of travel.
The algorithm had two requirements
(1) High speed processing
(2) Ability to adapt to changing daylight and lighting conditions
The algorithm used was the grid partitioning pattern matching method.
The pattern matching algorithm implements logic to find robust correlation coefficients for illumination change, shape deformation, and magnification change.This has confirmed that obstacles can be detected at high speed even in situations where daylight and proving conditions change.
- Technologies
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- Zero Mean Normalized Cross-correlation
- Incremental Code Correlation
- C/C++
- C#
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BMI framework - development
We have developed a brain-machine interface (BMI) framework that detects targeted brain activity from brain signals such as electroencephalogram (EEG) in real time and outputs feedback signals to operate external devices.
Since real-time performance is important for BMI, a C++ multi-threading mechanism was used to minimize the delay time to feedback. The framework is designed to be flexible enough to incorporate MATLAB or Python scripts which implemented the algorithms for brain signal preprocessing and brain activity detection, depending on the experiment. The BMI also uses the lab streaming layer communication technology to provide multimodal input from multiple devices (e.g., eye-tracking devices) in addition to brain signals.
- Technologies
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- Brain-machine interface (BMI)
- Electroencephalogram (EEG)
- C++
- MATLAB
- Python
- Lab streaming layer (LSL)
Engineers
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- Computational Physics
- Combinatorial Optimization
- [Introduction]
- I'm trying to develop software which is helpful, unique and amusing, taking advantage of my knowledge and experience in physics and engineering.
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- [Expertise]
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- Time Series Analysis
- Signal Processing
- Time-Frequency Analysis
- Data Analysis and Image Processing for Neuroscience Research
- [Introduction]
- I am an engineer having experience in neurophysiological research and the development of programs related to measurement systems and time series analysis. I am developing software which well fit the purpose of individual experiments and analysis by taking advantage of my research experiences. I am also trying to implement algorithms, which requires scientific expertise based on research articles.
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- [Expertise]
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- Behavioral Ecology
- Simulations
- [Introduction]
- An experienced engineer in experiments and observations of behavioral ecology. Especially, I have been researching the mating behavior of water striders. I want to support your research in each stages with software from experiment planning to data acquisition and analysis. Currently, I am studying image processing, because I am interested in software recognition of animal behavior.
Products
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Visualize correlations by high-speed partial correlation analysis with sparse structure estimation. This is useful for connectome analysis in the field of neuroscience.
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Analyzes image stacks and performs automatic counting and visualization. This is useful for analysis of confocal microscope images, etc.
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Separates and clusters spike signals from aggregate potentials of neural signals. Dramatically improves the efficiency of neurophysiology research!
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Automatically extracts location information from video footage of behavioral experiments and easily creates trajectory graphs and heat maps. No more manual work!
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Ultra-fast metagenome analysis compatible with next-generation sequencers. Rich visual functions are powerful for microbiological research and other applications! (Scheduled for release)
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News
- 2024/08/19
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We exhibited at "Industrial Plaza" in the 25th Annual Convention of the Japan Society for Food Engineering (2024), where we conducted a poster presentation and a short presentation.
- 2024/04/08
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A Ph.D. (Science) researcher was hired.
- 2024/02/21
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Participated in Kyoto University 18th ICT Innovation Industry Briefing Session.
Contact Us
If you have any inquiry
about our company, please contact us.
(Phone hours: 10:00 - 17:00, Japan Standard Time)
+81-75-321-7300