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Mitsuo Ai

Bio: Mitsuo Ai is an academic researcher. The author has contributed to research in topics: Imaging technology & Point spread function. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, a new concept for multi-dimensional measurements is proposed by the author as "imaging technology" and it is classified into three groups: pattern imaging, tomographic imaging and microscopic imaging.
Abstract: Measurements and/or controls are normally made at one point in a wide area or space by making the assumption that conditions in the area or space are uniform, in spite of the fact that phenomena in the natural and artificial words are actually distributed. It is very desirable that distributed phenomena are measured just as they are, and because of the progress in large-scale integration (LSI) and micromachining technologies, measurements of phenomena of plural dimensions are being realized: not a point, but a line, area, space, space plus time and N dimensions. A new concept for such multi-dimensional measurements is proposed by the author as ‘imaging technology’, and it is classified into three groups: pattern imaging, tomographic imaging and microscopic imaging. Pattern imaging consists of images made from the outputs of plural sensors. Tomographic imaging is where images are made with the technology of computed tomography. In microscopic imaging images of very small size are enlarged with microscopic methods. Several examples for each type of imaging are given.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: Examples of already realised components of chemical imaging with sensor systems used to increase the number of independent chemical sensor features as a prerequisite for advanced chemical imaging are described.
Abstract: In most applications of chemical sensors today the original output of an individual sensor is monitored as one ‘feature’ (such as a certain current at a fixed potential of an electrochemical cell or a resistance of a metal oxide sensor). However, individual sensors and the determination of individual features show limited performance only for most practical applications. Often, arrays of many sensors and an extension of the feature space are required. In this context, a general trend is to be seen now towards more perfect ‘chemical imaging’: the final goal is a time and spatially resolved electronic recording of many individual chemical species, of toxicity, of odour impression etc. Part I of this paper dealt with the systematics of chemical imaging with sensor systems, i.e. with theoretical concepts to obtain a high-dimensional ‘hyperspace of chemical features’ and to deduce information from this space. This paper describes examples of already realised components of such sensor systems. They are used to increase the number of independent chemical sensor features as a prerequisite for advanced chemical imaging. The evident first strategy to produce independent features by the choice of different sensor-active materials has been treated in many reviews and is therefore not discussed here. The new practical approaches to produce features with corresponding prototype sensors presented in this overview are organised according to the following scheme: similar sensitive layers are investigated as coatings on different transducers, the same sensitive layer is investigated with a single transducer, recording occurs of different physical properties, and the same sensitive layer and transducer and the same physical property is recorded in different modes of sensor operation.

62 citations

Journal ArticleDOI
TL;DR: In this article, Fan beam projections can also be implemented in the same sensor jig without difficulty, and the image quality can be measured using the Peak Signal-to-Noise Ratio (PSNR) and the Normalized Mean-Square Error (NMSE) parameters.

16 citations

Dissertation
01 Jan 2012
TL;DR: In this paper, a new projection technique was introduced by mixing the parallel and fan beam projections that is, Mix Modality between Parallel and Fan Beam Left and Right (MPFBLR), and MixModality between Parallel and======Fan Beam Centre (MPPFBC).
Abstract: Optical tomography is widely known in tomography area to visualise and measure mass flow rate of two phases flows solid gas. In order to visualise the material inside the pipeline, parallel beam projection had been selected at all times because of its simplicity. However while producing the image, some constraints such as smear and blurriness will happen, whereas for mass flow rate, the measurement of a non-homogenous flow will always affect the accuracy of the result. Therefore, a combination between parallel and fan beam was done to produce a better spatial resolution. This research introduces a new projection technique by mixing the parallel and fan beam projections that is, Mix Modality between Parallel and Fan Beam Left and Right (MPFBLR), and Mix Modality between Parallel and Fan Beam Centre (MPFBC). These mixed projections need a specific design of a sensor jig by eliminate the collimator to enable two modes of projections to be operated and consequently, this combination will use switching/pulsing technique. Linear Back Projection (LBP) is the algorithm that will be used to reconstruct the image in real time. The image will be processed offline to filter unwanted data, and to enhance quality using Filtered Back Projection (FBP) with Averaging Grouping Color (AGC) method and Linear Back Projection with Interpolation (LBPI). A new technique using polynomial graph acquired from calibration process of gravity flow rig will be employed to measure the mass flow rate. The result demonstrated that MPFBLR gave the best values in terms of Area Error (AE) percentage, Peak Signal to Noise Ratio (PSNR) and Normalized Mean Square Error (NMSE) compared to single parallel beam projection. The mass flow rate can be easily monitored using polynomial equation from the manual calibration. In conclusion, the combination technique between parallel and fan beam can improve the image quality and enable the mass flow rate measurement.

10 citations

Journal ArticleDOI
TL;DR: It is confirmed that OT has great potential in online weighing process using a polynomial equation, and the application of novel MFR technique to accurately monitor weight loss of rice has proven to outperform the existing system in rice industry.
Abstract: The capability of Optical Tomography (OT) to visualize pipe flow is undeniably beneficial and of utmost importance to solid gas industry. The other striking feature of OT is its ability to measure and analyze real-time mass flow rate (MFR), which enables online monitoring of material weight. This paper addresses the problem posed by online weighing system in rice industry. The current system slows down the overall industrial production by impeding the device operation, and is therefore becoming obsolete. To overcome this drawback, we confirmed that OT has great potential in online weighing process using a polynomial equation. In addition, MFR measurement can gauge weight loss of rice during the enhancement process. Encouragingly, the application of novel MFR technique to accurately monitor weight loss of rice has proven to outperform the existing system in rice industry.

2 citations