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Item type:Publication, Automatic exudate extraction for early detection of Diabetic Retinopathy(2013-01-01); ; Diabetic Retinopathy (DR) is the most common cause of blindness in diabetic patients, but early detection and timely treatment can prevent this problem. Exudates have been found to be one of the signs and serious DR anomalies so the proper detection of these lesions and the treatment should be done immediately to prevent loss of vision. The aim of this study is to automatically detect these lesions in fundus images. To achieve this goal, the proposed method first preprocesses to improve the quality of fundus image, and then Optic Disc (OD) is detected and eliminated to prevent the interference to the result of exudate detection by combination of 3 methods; image binarization, Region Of Interest (ROI) based segmentation and Morphological Reconstruction (MR). Next, exudates are detected by applying the maximum entropy thresholding to filter out the bright pixels from the result of OD region eliminated. Since the result contains some noises which appear as bright light at the edge of fundus area in some images, that affect is considered and eliminated to improve the result of false positive. Finally, exudates are extracted by using MR. The proposed technique has been tested on 100 fundus images from hospital. Experimental results show that 91 % of exudate is extracted correctly with the average process of 3.92 second per image. © 2013 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Automated microaneurysms detection in fundus images using image segmentation(2017-04-19); Hamamoto, KazuhikoDiabetic retinopathy is one of the complicated diseases which occurs in diabetic patients when the affects damage the retina. The eyes vision can lead to be lost in case of late treatment. Microaneurysms are the earliest detectable abnormalities of diabetic retinopathy, so the automated detection of the lesions is essential and useful task. This paper proposed a simple method to detect microaneurysms based on its characteristics in fundus images using some techniques in image segmentation. First, we preprocessed to reduce image noise and improve the contrast. Then we segmented them using Canny edges detection and maximum entropy thresholding. The characteristics of microaneurysms which appear as small red dots and circular shape are the specific points to discriminate them from the other lesions as well as the anatomical structures of the fundus image by applying area and eccentricity methods. Finally, the morphological operation was applied to mark out these symptoms. The results were analysis by ophthalmologist in order to define system accuracy and preciseness. According to results of comparison, we found that the accuracy is 90 % and the average processing time is 9.53 seconds per image. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Banana Plant Nutrient Deficiencies Identification using Deep Learning(2023-01-01); ; Hamamoto, KazuhikoThis paper presents nutrient deficiency multi-class classification in banana plant data sets using a deep convolutional neural network. In this paper, healthy and eight nutrient deficiency classes were studied. The performance was evaluated in different situations of two public data sets. The proposed method can provide sensitivity and specificity in Raw Images, Raw Images with combination, Augmented Images, and Augmented Images with the combination. Furthermore, nearly 88% of the F1-score was outperformed. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Polarization and Depolarization Current Characteristics of Natural Ester Stressed by Partial Discharge(2020-10-25); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Manufacturing Process Improvement by Barcode Reader using Image Processing(2024-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Routing algorithms with adaptive weight function based on total wavelengths and expected available wavelengths in optical WDM networks(2005-01-01); ; Varakulsiripunth, RuttikornThis paper studies routing and wavelength assignment in wavelength-routed (WR) optical WDM networks which are circuit-switched in nature. When a session request is given, (be hard task of routing and wavelength assignment (RWA) is to calculate the satisfiable path between two nodes, and also to assign an available set of wavelengths along this path. Therefore, we have proposed a new routing and wavelength assignment algorithm, called Total wavelengths and Expected available wavelengths (TEW) algorithm in order to achieve the effective routing and wavelength assignment that can guarantee the service for user's requirement. The link weight function is considered as the main factor for route selection in TEW algorithm. This function is calculated by using a determination factor of the number of wavelengths that are being used currently and are supposed to be available after a certain time. The session requests from users will be routed on the links that has the least number of link weights by using Dijkstra's shortest path algorithm. This means that the selected lightpath will have the minimum utilization and maximum expected available wavelengths. The impact of proposed link weight computing function on the blocking probability is investigated by means of computer simulation and comparing with the traditional mechanism. The results show that the proposed TEW algorithm can achieve better performance in terms of the blocking probability. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A "dual-acceptor channel" membraneless gas-diffusion unit for simultaneous determination of ethanol and acetaldehyde in liquors using reverse flow injection(2018-01-01); ; ; Motomizu, ShojiA new design of membraneless gas-diffusion unit with dual acceptor channels for separation, collection and simultaneous determination of two volatile analytes in liquid sample is presented. The unit is comprised of three parallel channels in a closed module. A sample is aspirated into the central channel and two kinds of reagents are introduced into the other two channels. Two analytes are isolated from the sample matrix by diffusion into head-space and absorbed into the specific reagents. Non-absorbed vapor is released by opening the programmable controlled lid. The unit was applied to liquors for measurement of ethanol and acetaldehyde using reverse flow injection. Dichromate and nitroprusside were exploited as reagents for colorimetric detection of ethanol and acetaldehyde, respectively. Good linearity ranges (r2 > 0.99) with high precision (RSD < 2%) and high accuracy (recovery: 90 - 105%) were achieved. The results were compared to the results by GC-FID and no significant difference was observed by paired t-test (95% confidence). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Apply PLC to Control 3-Axis Machines(2025-01-01); ; This report presents a method of using PLC (Programable Logic Control) to control the work instead of the 3-Axis machine position controller. PLC is popularly used in various types of control systems. It has a lot of control capabilities, is efficient, stable, durable, easy to use, and cheap. It is the use of commands to control the work of all 3 axes, 2 axes, and 1 axle. The commands used for moving in both straight lines and curves, and there are other devices that need to be controlled together with the machine that is being controlled. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Fully Digital Cosine Signal Driven Pulse Oximeter Without Bandpass Filter Based on Microcontroller(2022-04-20); In this research, almost fully digital microcontroller pulse oximeter processing by two frequencies of cosine wave-driven red and infrared light sources as well as direct recovering photoplethysmography (PPG) signals from FDM signal without bandpass filter with coherent amplitude demodulation is proposed. An ESP32 microcontroller is employed to generate two cosine waves with two difference equation algorithms instead of using the function of cosine from Arduino or C library language. Two frequency digital cosine wave signals are generated and converted to analog signals with D/A to drive two light sources while two digital cosine signals as mentioned above are recognized in order to use to be as two local oscillator cosine wave signals for recovery of two PPG signals with synchronous demodulation. The RED and IR PPG signals are later used to estimate blood oxygen saturation (SpO2). The experimental result shows that it works well with accuracy and precision of 99.4448% and 0.5551, respectively. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Automated diabetic retinopathy screening system using hybrid simulated annealing and ensemble bagging classifier(2018-07-22);