• 제목/요약/키워드: process measurement

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Mask Region-Based Convolutional Neural Network (R-CNN) Based Image Segmentation of Rays in Softwoods

  • Hye-Ji, YOO;Ohkyung, KWON;Jeong-Wook, SEO
    • Journal of the Korean Wood Science and Technology
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    • v.50 no.6
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    • pp.490-498
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    • 2022
  • The current study aimed to verify the image segmentation ability of rays in tangential thin sections of conifers using artificial intelligence technology. The applied model was Mask region-based convolutional neural network (Mask R-CNN) and softwoods (viz. Picea jezoensis, Larix gmelinii, Abies nephrolepis, Abies koreana, Ginkgo biloba, Taxus cuspidata, Cryptomeria japonica, Cedrus deodara, Pinus koraiensis) were selected for the study. To take digital pictures, thin sections of thickness 10-15 ㎛ were cut using a microtome, and then stained using a 1:1 mixture of 0.5% astra blue and 1% safranin. In the digital images, rays were selected as detection objects, and Computer Vision Annotation Tool was used to annotate the rays in the training images taken from the tangential sections of the woods. The performance of the Mask R-CNN applied to select rays was as high as 0.837 mean average precision and saving the time more than half of that required for Ground Truth. During the image analysis process, however, division of the rays into two or more rays occurred. This caused some errors in the measurement of the ray height. To improve the image processing algorithms, further work on combining the fragments of a ray into one ray segment, and increasing the precision of the boundary between rays and the neighboring tissues is required.

The Effect of a Forest Healing Program on Cognitive Function, Depression, Anxiety, and Cortisol Levels in Elderly People

  • Soyeon, Kim;Jungkee, Choi
    • Journal of Forest and Environmental Science
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    • v.38 no.4
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    • pp.290-301
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    • 2022
  • Increasing life expectancy leads to a rise in the prevalence of aging-related mental diseases and a concomitant increase in the financial and societal pressures related to their prevention and management. This issue is attracting increasing attention from researchers. Therefore, this study aimed to determine whether a healing program in a forest environment is effective for improving cognitive function, depression, anxiety, and stress in elderly people. A nonequivalent control group pretest-posttest design was used. The experimental group consisted of 18 males and females aged 60 to 80 years who participated in a forest healing program for seven days, while the comparison group comprised 10 people with similar demographics. For the process of data analysis, this study performed a cross-analysis to determine the homogeneity of the data and carried out the Wilcoxon signed-rank test, a nonparametric statistical test, to verify the significance of each group. Participation in the forest healing program led to a significant improve-ment in cognitive function (p=0.030). The levels of depression decreased, but this result was not statistically significant. The levels of anxiety decreased significantly (p=0.004). The mean cortisol score, a measurement of stress, decreased, but it was not statistically significant. These findings confirmed the effectiveness of this program for improving certain mental conditions of elderly people, and affirmed that the use of long-term forest healing programs can be expected to alleviate national pressures created by aging societies.

Path Analysis of Attitude Toward Health Checkup and Breast Cancer on the Application of Physical Therapy after Breast Cancer Surgery

  • Lee, Mi-Joung;Ro, Hyo-Lyun
    • Journal of the Korean Society of Physical Medicine
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    • v.16 no.4
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    • pp.45-53
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    • 2021
  • PURPOSE: This study examined women's attitudes toward the use of physical therapy in the treatment process after breast cancer surgery and the degree of interest in this application. Path analysis was conducted to discover the approaches to improve awareness of the necessity of physical therapy intervention after breast cancer surgery. METHODS: This study was a cross-sectional survey of 230 women aged 20 years and over with no history of breast cancer. The measurement tool used in this study was a structured questionnaire, composed of 17 items in five fields: five items on the demographic characteristics, four items related to health checkups, four items involving the viewpoints on breast cancer, one item related to the interest in breast cancer, and four items related to physical therapy after surgery. RESULTS: Women's attitudes toward regular health checkups were major factors in the prevention and treatment of breast cancer. In addition, those with higher levels of interest in breast cancer showed stronger interest in using physical therapy after breast cancer surgery. CONCLUSION: Women believe that breast cancer can be prevented through the health checkups implemented by the government. Therefore, there is a need to utilize public relations to promote methods for the self-diagnosis of breast cancer in the health checkup system and the use of physical therapy after breast cancer surgery.

Ensemble Modulation Pattern based Paddy Crop Assist for Atmospheric Data

  • Sampath Kumar, S.;Manjunatha Reddy, B.N.;Nataraju, M.
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.403-413
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    • 2022
  • Classification and analysis are improved factors for the realtime automation system. In the field of agriculture, the cultivation of different paddy crop depends on the atmosphere and the soil nature. We need to analyze the moisture level in the area to predict the type of paddy that can be cultivated. For this process, Ensemble Modulation Pattern system and Block Probability Neural Network based classification models are used to analyze the moisture and temperature of land area. The dataset consists of the collections of moisture and temperature at various data samples for a land. The Ensemble Modulation Pattern based feature analysis method, the extract of the moisture and temperature in various day patterns are analyzed and framed as the pattern for given dataset. Then from that, an improved neural network architecture based on the block probability analysis are used to classify the data pattern to predict the class of paddy crop according to the features of dataset. From that classification result, the measurement of data represents the type of paddy according to the weather condition and other features. This type of classification model assists where to plant the crop and also prevents the damage to crop due to the excess of water or excess of temperature. The result analysis presents the comparison result of proposed work with the other state-of-art methods of data classification.

A study on the automatic inspection system for inner diameter and parallelism of automobile hubs (자동차 허브의 내경 및 평행도 자동검사 시스템에 대한 연구)

  • Kang, Byung-Soo;Yoo, Hyeong-Min
    • Design & Manufacturing
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    • v.16 no.3
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    • pp.16-21
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    • 2022
  • In order to reduce the weight of parts and materials for the development of high-efficiency engines in accordance with the strengthening of automobile fuel efficiency regulations, the existing casting material is changed to a iron plate material, and plastic processing and turning operations are performed to lighten the weight and reduce the manufacturing cost. Among the pulley components applied to the damper pulley, the HUB product was manufactured by plastic machining instead of the existing casting process, and the inspection standardized for automating the inner diameter and parallelism measurement of the turning result of the new hub part with improved quality, and the inspection system for this Development of design and operation software to automate the inspection of the inner diameter and parallelism of the hub was described. The representative specifications of the development equipment are a hub inner diameter 22mm inspection system, a three-point inspection system with a parallelism of 0.15mm on the top.

GNSS/Multiple IMUs Based Navigation Strategy Using the Mahalanobis Distance in Partially GNSS-denied Environments (GNSS 부분 음영 지역에서 마할라노비스 거리를 이용한 GNSS/다중 IMU 센서 기반 측위 알고리즘)

  • Kim, Jiyeon;Song, Moogeun;Kim, Jaehoon;Lee, Dongik
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.4
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    • pp.239-247
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    • 2022
  • The existing studies on the localization in the GNSS (Global Navigation Satellite System) denied environment usually exploit low-cost MEMS IMU (Micro Electro Mechanical Systems Inertial Measurement Unit) sensors to replace the GNSS signals. However, the navigation system still requires GNSS signals for the normal environment. This paper presents an integrated GNSS/INS (Inertial Navigation System) navigation system which combines GNSS and multiple IMU sensors using extended Kalman filter in partially GNSS-denied environments. The position and velocity of the INS and GNSS are used as the inputs to the integrated navigation system. The Mahalanobis distance is used for novelty detection to detect the outlier of GNSS measurements. When the abnormality is detected in GNSS signals, GNSS data is excluded from the fusion process. The performance of the proposed method is evaluated using MATLAB/Simulink. The simulation results show that the proposed algorithm can achieve a higher degree of positioning accuracy in the partially GNSS-denied environment.

Similarity Analysis Between SAR Target Images Based on Siamese Network (Siamese 네트워크 기반 SAR 표적영상 간 유사도 분석)

  • Park, Ji-Hoon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.5
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    • pp.462-475
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    • 2022
  • Different from the field of electro-optical(EO) image analysis, there has been less interest in similarity metrics between synthetic aperture radar(SAR) target images. A reliable and objective similarity analysis for SAR target images is expected to enable the verification of the SAR measurement process or provide the guidelines of target CAD modeling that can be used for simulating realistic SAR target images. For this purpose, this paper presents a similarity analysis method based on the siamese network that quantifies the subjective assessment through the distance learning of similar and dissimilar SAR target image pairs. The proposed method is applied to MSTAR SAR target images of slightly different depression angles and the resultant metrics are compared and analyzed with qualitative evaluation. Since the image similarity is somewhat related to recognition performance, the capacity of the proposed method for target recognition is further checked experimentally with the confusion matrix.

Effect of Sealing on the Corrosion Resistance of Plasma-Sprayed Alumina Coatings (실링이 플라즈마 스프레이 코팅된 알루미나 코팅재의 내부식성에 미치는 영향)

  • Kwon, Eui Pyo;Kim, Se Woong;Lee, Jong Kweon
    • Korean Journal of Materials Research
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    • v.32 no.10
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    • pp.442-447
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    • 2022
  • Sealing treatment is a post-surface treatment of the plasma spray coating process to improve the corrosion resistance of the coating material. In this study, the effect of the sealing on the corrosion resistance and adhesive strength of the plasma spray-coated alumina coatings was analyzed. For sealing, an epoxy resin was applied to the surface of the coated specimen using a brush. The coated specimen was subjected to a salt spray test for up to 48 hours and microstructural analysis revealed that corrosion in the coating layer/base material interface was suppressed due to the resin sealing. Measurement of the adhesive strength of the specimens subjected to the salt spray test indicated that the adhesive strength of the sealed specimens remained higher than that of the unsealed specimens. In conclusion, the resin sealing treatment for the plasma spray-coated alumina coatings is an effective method for suppressing corrosion in the coating layer/base material interface and maintaining high adhesive strength.

A Study on Fault Diagnosis for Planar Active Phased Array Antenna (평면 능동위상배열안테나 결함소자 진단방법에 관한 연구)

  • Jin-Woo Jung;Seung-Ho Kang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.1
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    • pp.11-22
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    • 2023
  • A radiating elements fault diagnosis method with simplified radiation pattern measurement procedure was presented for planar active phased array antenna system. For presenting the mentioned method, the technique for linear approximation based on the radiation characteristics of a planar array configuration and a technique for solving a unique solution problem that occur in process of diagnosing a fault in a radiating elements were presented. Based on the presented method and a genetic algorithm, experimental simulations were performed for radiating element defect diagnosis according to various planar active phased array antenna configurations. As a result, it was confirmed that the presented radiating element fault diagnosis method can be smoothly applied to planar active phased antennas having various configurations.

Architectural Characteristic of SooMaJaiJeon in DongHwaSa (동화사 수마제전의 건축적 특징)

  • Kyung-Soo Lee
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.1
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    • pp.69-78
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    • 2023
  • For this purpose, the research is to study the architectural characteristic of SooMaJaiJeon which is one of the DongHwaSa in the traditional wooden architecture by dividing it into three section-bracket, roof structure and frame structure. This study is largely divided into four stage-section do subject, research and actual measurement and conclusion. The whole process was consistently executed through detailed steps. The com position of this study is as follows. The 1st chapter-the purpose, background, method, object and range of the research. The 2nd chapter-the history of SooMajaiJeon. the 3rd chapter-the structure of Dapo-style bracket has generally considered, the frame structure of Dapo-style, vertical and horizontal member and podium, the characteristic of bracket with member and the structure, design of bracket, roof structure. In the 4th chapter, the conclusion of this study has been summarized, Dapo-style is the building that has deep symbolism and structural characteristic of traditional wooden architecture. The frame structure has a dominant regional characteristic and a typical part of typological classification in SooMaJaiJeon.