scispace - formally typeset
Search or ask a question

Showing papers in "Journal of the Institute of Industrial Applications Engineers in 2020"


Journal ArticleDOI
Lin Dong1, Kohei Inoue1
TL;DR: A breast cancer diagnosis method based on an improved CNN (Convolutional Neural Networks) was proposed, which showed that the classification accuracy of the model reached 91.4%, which was significantly improved compared with the existing MIBCAD system.
Abstract: Breast cancer has become the most common malignant tumor with the highest incidence of death in women. The MIBCAD (Medical Image Based Computer-Aided Diagnosis) system currently in use has a low diagnostic accuracy rate of only 85%. Furthermore, this system has major limitations for image processing of mammogram. To address these issues, this paper proposed a breast cancer diagnosis method based on an improved CNN (Convolutional Neural Networks). To avoid the image overfitting problem, transfer learning and data augmentation methods were used. The image classification accuracy was improved by using different CNN structures and changing the classifier type. Our results showed that the classification accuracy of the model reached 91.4%, which was significantly improved compared with the existing MIBCAD system.

7 citations


Journal ArticleDOI
TL;DR: In this paper, the authors describe the expression of subjective evaluation for the participation attitude to the Internet of male college students using univariate scatter plots and box-and-whisker plots based on visual analog scale (VAS).
Abstract: This paper describes the expression of subjective evaluation for the participation attitude to the Internet of male college students using univariate scatter plot and box-and-whisker plot based on visual analog scale (VAS) by employing a small number of subjective evaluation measurement. 19 healthy male college students were invited as the experiment participants. In order to analyze their subjective evaluation for the participation attitude to the Internet, they were requested to answer the questionnaire on VAS (17 questions). The numerical results to show their subjective evaluation ("applicable” or "not applicable ") for the participation attitude to the Internet have been obtained, and they are shown by using the combination of univariate scatter plots and box-and-whisker plots. Moreover, it has been discovered that the question based on the similar subjective evaluation belongs to the same cluster. This fact is supported by the results of published article [12] analyzed in factor analysis. In addition, it has been also discovered that participants who have similar subjective evaluation values belong to the same cluster. The relationships and meanings for these questions or participants have been found by a small number of subjective evaluation measurement based on VAS.

3 citations


Journal ArticleDOI
TL;DR: Experiments show that the wireless sensor system can make the real-time data acquisition of temperature and humidity, which has not only good efficiency and scalability, but also high reliability and excellent stability.
Abstract: Based on the Z-Stack protocol Stack, with the CC2530 radio frequency transceiver chip and DHT22 digital temperature and humidity sensor as the core, this article puts forward a new implementation designed for the wireless temperature and humidity acquisition system on the basis of the Zigbee wireless communication technology. With the method of upper machine software by GUI, changes in temperature and humidity can be shown on the display terminal intuitively. The article mainly expounds the system structure design, temperature andhumiditydataacquisitionprocessandgraphicalinterfacemonitoringimplementation. Experimentsshowthat the wireless sensor system can make the real-time data acquisition of temperature and humidity, which has not only good efficiency and scalability, but also high reliability and excellent stability.

2 citations


Journal ArticleDOI
TL;DR: A variable-angle dual wiimote 3D localization system is developed and corresponding localization performance and sensitivity analysis is carried out for clarifying the above concern and shows the high possibility for this system developing into an effective external sensor for robot arm control.
Abstract: Indoor localization has been receiving great interest and 2D localization system based on infrared LED-based wiimote camera is also well-developed. Although 3D positioning techniques based on infrared LED detection have been proposed and validated, it is not yet matured for general indoor localization due to its insufficient sensing zone and specific layout attitude, which may not always have been satisfied. In this work, based on previous research, a layout is proposed to extend the sensing region to cover the entire indoor space by deploying many wiimote 3D pairs and make sure the object can be detected by at least two wiimote pairs during motion. However, this also implies that the original optimal deployed attitude cannot be maintained. As a result, to deal with this problem, a variable-angle dual wiimote 3D system is developed and corresponding localization performance and sensitivity analysis is carried out for clarifying the above concern. From sensitivity analysis result, better performance in X displacement detection is achieved with the orientation setting in 90°, and the results also show the system to be more sensitive to the error in orientation. Furthermore, the scheme is also applied to robot arm attitude determination and shows the high possibility for this system developing into an effective external sensor for robot arm control. It is expected that this wiimote 3D localization system to have a great potential on inexpensive and precise general indoor localization system.Keywords: Wiimote, indoor localization, robustness analysis, 3D positioning, robot attitude determination

2 citations


Journal ArticleDOI
TL;DR: The usefulness of the proposed system to measure the environmental information in the greenhouse by the mobile robot using ROS is confirmed from the verification experiment using a prototype mobile robot.
Abstract: The environmental information in the greenhouse is one of the essential items in precision agriculture for improving the productivity of crops. In many cases of environmental measurement in the greenhouse, a fixed sensor can measure near the installation location. However, to estimate the distribution of environmental information in the whole greenhouse, it is necessary to install many sensors, which increases the cost. Therefore, in this study, to acquire more detailed environmental information, we propose the system to measure the environmental information in the greenhouse by the mobile robot using ROS. The proposed mobile robot consists of the CO2 sensor, the temperature sensor, the humidity sensor, and LRF for environmental sensing. In this paper, we confirmed the usefulness of the proposed system from the verification experiment using a prototype mobile robot.

1 citations


Journal ArticleDOI
TL;DR: In this paper, the surface roughness of fine-grained graphite machined by micro milling was investigated using a tungsten carbide end mill with or without diamond-coating dedicated to graphite cutting.
Abstract: This paper presents an experimental research on surface roughness of fine-grained graphite machined by micro milling. POCO EDM-3 and POCO EDM-AF5 fine-grained graphite were adopted as workpiece material. A full groove milling was performed respectively using a tungsten carbide end mill with or without diamond-coating dedicated to graphite cutting. EDM-AF5, which has a smaller grain size than EDM-3, showed better property for surface roughness. The diamond-coated tool demonstrated more excellent abilities for micro milling than the uncoated tool, achieving more beautiful machining surface under higher cutting speed and feed rate condition. The influence degree of the grain size and the cutting parameters including cutting speed, feed rate and cutting depth on surface roughness was analyzed by using ANOVA method. The analysis results proved that the feed rate and the grain size have the most significant influence and the cutting depth only has a minor effect on the surface roughness, while the cutting speed is not an influence factor. Regression equations to predict the surface roughness value from related factors were derived with the regression analysis. Through additional verification experiments, the effectiveness of these equations was also confirmed.

1 citations


Journal ArticleDOI
TL;DR: Using a method that judges the ease of tripping from the MinTC height measured by a One Dimensional Brightness Distribution Sensor (Obrid-Sensor), the difference between normal and dangerous gaits is detected, and significant differences between two gait types are found.
Abstract: Elderly people are at the risk of serious injuries by falling. As most of falls result from tripping, researchers assess the ease of tripping using the minimum toe clearance (MinTC) measure, which is known to be more variable in the elderly than in younger people. This paper proposes a method that judges the ease of tripping from the MinTC height measured by a One Dimensional Brightness Distribution Sensor (Obrid-Sensor). Using our method, we detected the difference between normal and dangerous gaits, and found significant differences between two gait types. In conclusion, our proposed system clearly distinguished normal from dangerous gaits. In future work, the method will be further adapted to actual environments by widening its detection area.

1 citations


Journal ArticleDOI
TL;DR: In this article, the authors examined whether classification of pork products into categories (product type, product part, and cooking method) is possible using inorganic components (sodium, potassium, calcium, magnesium, phosphorus, iron, zinc, copper, iodine, selenium, and chromium).
Abstract: In this report, we examined whether classification of pork products into categories—product type, product part, and cooking method—is possible using inorganic components—sodium, potassium, calcium, magnesium, phosphorus, iron, zinc, copper, iodine, selenium, and chromium—quantified by inductively coupled plasma mass spectrometry (ICP-MS). For the examination, we use the neural network method and provide a preliminary report of the results and plans for future development. Data were prepared in consideration of analysis errors of eleven inorganic components that can be quantified by ICP-MS. Therefore, measurement errors expected when 88 pork products were analyzed by ICP-MS were considered. The assumed measurement error for the 11 types of inorganic components is ± 10%. Thereafter, classification and collation into each category (product type, product part, cooking method) were carried out using a neural network for 264 types of pork products, considering errors. As aresult we presented the possibility of classification collation of pork products using inorganic components that can be quantified by ICP-MS as a preliminary report.

1 citations


Journal ArticleDOI
TL;DR: A new histogram named aggregated histogram (AgH) is introduced, which is computed with R, G and B components of all pixels in a color image, and then equalize AgH to obtain an enhanced color image in a similar manner to conventional grayscale histogram equalization (GHE).
Abstract: In color image enhancement, gamut problem is one of the fundamental issues for practical image processing tasks. However, recent color image enhancement methods without gamut problem fail to preserve or enhance color saturation, which is an essential property for visual perception. In this paper, we propose a color image enhancement method, in which we introduce a new histogram named aggregated histogram (AgH), which is computed with R, G and B components of all pixels in a color image, and then equalize AgH to obtain an enhanced color image in a similar manner to conventional grayscale histogram equalization (GHE). As a result, the proposed method is free from gamut problem as well as GHE. Moreover, we extend the proposed AgH equalization (AgHE) method to adaptive AgHE (AAgHE), which equalizes a local histogram at each pixel of a color image. Experimental results show that the proposed methods produce better results than existing color image enhancement methods. Consequently, the proposed methods can be a good alternative to conventional color image enhancement methods without gamut problem.

Journal ArticleDOI
TL;DR: In this paper, a functional evaluation method with the ideal function of stabilizing the resin filling density based on the original definition of material mechanics is proposed to solve the quality issues regarding the strength and dimensional stability of resin materials.
Abstract: In recent years, along with the increasing demand for plastic products and the deepening of academics, mass production, weight reduction, and higher precision are progressing. In the field of design development and production technology, there is an increasing need for analysis technology related to resin flow and behavior in order to solve problems related to quality assurance such as molding defects and product strength. Especially in the resin molding process, it is an important issue to create a quality function that applies the analysis of complex multidimensional information because of the high degree of freedom in product shape and mold structure. In order to solve the quality issues regarding the strength and dimensional stability of resin materials, it is effective to apply the “Functionality Evaluation Method” in robust design which is an analytical evaluation method. In this study, we focus on the function of managing the resin filling density in the mold (the input/output relationship of the melting energy related to the resin filling characteristics) for the optimization of resin strength and dimensional stability. We propose a functional evaluation method with the ideal function of stabilizing the resin filling density based on the original definition of material mechanics. As a result of verification of the proposed method, it was clarified that it is extremely important to make the resin filling density in the mold uniform to stabilize the strength of the resin injection molded product.

Journal ArticleDOI
TL;DR: In this paper, the influence of active gate drive (AGD) on reverse recovery characteristics and the mechanism of loss and surge reduction are discussed for system reliability improvement for rectification diode.
Abstract: The active gate drive (AGD) technique is payed attention as a switching technique which can reduced both of switching loss and surge voltage. So far, only switching loss and surge voltage of main switch have been discussed, and the reverse recovery characteristic of rectification diode has not been discussed. In addition, the mechanism of loss and surge reduction has not been clarified. In this paper, the influence of AGD on reverse recovery characteristics, and the mechanism of loss and surge reduction are discussed for system reliability improvement. As a result, the mechanism of loss and surge reduction is clarified.

Journal ArticleDOI
TL;DR: The experiments show that the best color space is the RLAB color space while the geometrical method is quantitatively better than the statistical method for most of a large number of images.
Abstract: Color transfer is a technical means of changing the appearance of an image (source image) such that the image has characteristics similar to those of a specified image (target image). There exist first-order statistics-based and geometry-based color transfer methods. These color transfer methods can be applied in different color spaces via space transformation. In this report, we review the fundamental principles of two color transfer methods in different color spaces and present a comprehensive comparative study on color transfer using statistical and geometrical methods in different color spaces. We assess the quality of color transfer by computing the consistency between the normalized histograms of the source image and target image and discuss the performance of each method for different color spaces. Our experiments show that the best color space is the RLAB color space while the geometrical method is quantitatively better than the statistical method for most of a large number of images.

Journal ArticleDOI
TL;DR: This paper discusses the design consideration of high efficiency and fast response POL using 3D Power-SoC (Supply on Chip), and proposes the optimal structure according to the switching frequency based on simulations.
Abstract: Power-SoC, which integrates MCU, power device, control circuits and passive devices on the same chip has been attracted attention. In this paper, we discuss the design consideration of high efficiency and fast response POL using 3D Power-SoC (Supply on Chip). We propose the optimal structure according to the switching frequency based on simulations.