• Title/Summary/Keyword: Line Defect

Search Result 363, Processing Time 0.027 seconds

SLC-off Image Correlation and Usability Evaluation by Gapfill Function (Gapfill 함수에 의한 SLC off 영상 보정 및 활용성 평가)

  • Park, Joon-Kyu;Kim, Min-Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.13 no.8
    • /
    • pp.3692-3697
    • /
    • 2012
  • Landsat 7 ETM+ sensor is getting imageries in the SLC-off state since May 31, 2003 due to mechanical defect of SLC(Scan Line Corrector). Therefore additional correction works are required to use these imageries. In this study, Landsat 7 SLC-off imageries were corrected using Gapfill function and compared with Landsat 5 around the same time. Most of pixels in omitted areas due to SLC-off by producing SLC-off imageries and imageries without visual incompatibility could be achieved as there were not unnatural noises. Also, the corrected imageries were performed land cover classification which was compared with the classification result using reference image. To do this, it could be suggested the possibility of SLC-off imagery. Landsat 7 SLC-off corrected imageries will improve the difficult conditions to detect changes of large areas and be used to detect changes of large areas and classify imageries as well as to recover imagery loss arising regionally such as small scale cloud, etc.

Anomaly Detection System in Mechanical Facility Equipment: Using Long Short-Term Memory Variational Autoencoder (LSTM-VAE를 활용한 기계시설물 장치의 이상 탐지 시스템)

  • Seo, Jaehong;Park, Junsung;Yoo, Joonwoo;Park, Heejun
    • Journal of Korean Society for Quality Management
    • /
    • v.49 no.4
    • /
    • pp.581-594
    • /
    • 2021
  • Purpose: The purpose of this study is to compare machine learning models for anomaly detection of mechanical facility equipment and suggest an anomaly detection system for mechanical facility equipment in subway stations. It helps to predict failures and plan the maintenance of facility. Ultimately it aims to improve the quality of facility equipment. Methods: The data collected from Daejeon Metropolitan Rapid Transit Corporation was used in this experiment. The experiment was performed using Python, Scikit-learn, tensorflow 2.0 for preprocessing and machine learning. Also it was conducted in two failure states of the equipment. We compared and analyzed five unsupervised machine learning models focused on model Long Short-Term Memory Variational Autoencoder(LSTM-VAE). Results: In both experiments, change in vibration and current data was observed when there is a defect. When the rotating body failure was happened, the magnitude of vibration has increased but current has decreased. In situation of axis alignment failure, both of vibration and current have increased. In addition, model LSTM-VAE showed superior accuracy than the other four base-line models. Conclusion: According to the results, model LSTM-VAE showed outstanding performance with more than 97% of accuracy in the experiments. Thus, the quality of mechanical facility equipment will be improved if the proposed anomaly detection system is established with this model used.

Fuzzy Logic Weight Filter for Salt and Pepper Noise Removal (Salt and Pepper 잡음 제거를 위한 퍼지 논리 가중치 필터)

  • Lee, Hwa-Yeong;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.26 no.4
    • /
    • pp.526-532
    • /
    • 2022
  • With the development of IoT technology, image processing is being utilized in various fields such as image analysis, image recognition, medical industry, and factory automation. Noise is generated in image data from causes such as defect in transmission line. Image noise must be removed because it damages the performance of the image processing application program. Salt and Pepper noise is a representative type of image noise, and various studies have been conducted to remove Salt and Pepper noise. Widely known methods include A-TMF, AFMF, and SDWF. However, as the noise density increases, the performance deteriorates. Thus, this paper proposes an algorithm that performs filtering using a fuzzy logic weight mask only in case of noise after noise determination. In order to prove the noise removal performance of the proposed algorithm, an experiment was performed on images with 10% to 90% noise added and the PSNR was compared.

A Case Study on Quality Improvement of Electric Vehicle Hairpin Winding Motor Using Deep Learning AI Solution (딥러닝 AI 솔루션을 활용한 전기자동차 헤어핀 권선 모터의 용접 품질향상에 관한 사례연구)

  • Lee, Seungzoon;Sim, Jinsup;Choi, Jeongil
    • Journal of Korean Society for Quality Management
    • /
    • v.51 no.2
    • /
    • pp.283-296
    • /
    • 2023
  • Purpose: The purpose of this study is to actually implement and verify whether welding defects can be detected in real time by utilizing deep learning AI solutions in the welding process of electric vehicle hairpin winding motors. Methods: AI's function and technological elements using synthetic neural network were applied to existing electric vehicle hairpin winding motor laser welding process by making special hardware for detecting electric vehicle hairpin motor laser welding defect. Results: As a result of the test applied to the welding process of the electric vehicle hairpin winding motor, it was confirmed that defects in the welding part were detected in real time. The accuracy of detection of welds was achieved at 0.99 based on mAP@95, and the accuracy of detection of defective parts was 1.18 based on FB-Score 1.5, which fell short of the target, so it will be supplemented by introducing additional lighting and camera settings and enhancement techniques in the future. Conclusion: This study is significant in that it improves the welding quality of hairpin winding motors of electric vehicles by applying domestic artificial intelligence solutions to laser welding operations of hairpin winding motors of electric vehicles. Defects of a manufacturing line can be corrected immediately through automatic welding inspection after laser welding of an electric vehicle hairpin winding motor, thus reducing waste throughput caused by welding failure in the final stage, reducing input costs and increasing product production.

A Study on the Asset Valuation Method Based on the Performance Information of Bridge (교량 성능 정보에 기초한 자산가치 평가 방법 연구)

  • Yong-Jun Lee;Kyung-Hoon Park;Jong-Wan Sun
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.27 no.5
    • /
    • pp.57-66
    • /
    • 2023
  • Asset valuation of social infrastructure is essential for rational decision-making for efficient management of assets. In addition, it can be an indicator for correctly recognizing assets. In general, Korea applies depreciated replacement cost based on the straight-line method to evaluate asset value, yet this is unsuitable for evaluating actual value because it is depreciated at a constant rate over the useful life period. In order to evaluate the asset value considering the performance of the bridge, the performance index of the bridge is estimated using the Weibull distribution. Using the estimated performance indicators and defect index, a new asset value evaluation method is proposed and compared and analyzed with the existing method. The proposed valuation method can take into account the performance of the bridge, so it is judged to be more objective and reasonable than existing method.

Functional and esthetic improvement through systematic diagnosis and treatment procedures in patient with unaesthetic anterior teeth proportion because of tooth wear : A case report (마모를 동반한 비심미적인 상, 하악 전치부 비율을 가진 환자에서 체계적인 진단 및 치료과정을 통해 기능 및 심미성이 개선된 보철 수복 증례)

  • Jeong, Hae-Yong;Choi, Yu-Sung
    • The Journal of Korean Academy of Prosthodontics
    • /
    • v.56 no.1
    • /
    • pp.40-49
    • /
    • 2018
  • It is reported that the causes of unaesthetic proportion of anterior teeth vary widely. Especially, when the unaesthetic tooth proportion of the mandibular incisors arises due to the wear of the anterior teeth accompanied by the compensation of the alveolar bone, it may cause serious functional and aesthetic problems. In such case, it should be considered that the evaluation of vertical dimension and tooth proportion as well as smile line, soft tissue and hard tissue morphology. And, increase of vertical dimension or clinical crown lengthening followed by prosthodontic restorations is needed to improve the interdental mesial/distal, width/length ratio considering the anterior guidance. This case report demonstrates functional and aesthetic improvements through systematic diagnosis and treatment procedures in a 48-year-old male patient with unaesthetic anterior teeth proportion because of tooth wear accompanied by the compensation of alveolar bone and defect of several central incisors due to chronic periodontitis.

Application of Laser-based Ultrasonic Technique for Evaluation of Corrosion and Defects in Pipeline (배관부 부식 및 결함 평가를 위한 레이저 유도 초음파 적용 기술)

  • Choi, Sang-Woo;Lee, Joon-Hyun;Cho, Youn-Ho
    • Journal of the Korean Society for Nondestructive Testing
    • /
    • v.25 no.2
    • /
    • pp.95-102
    • /
    • 2005
  • There are many tube and pipeline in nuclear power plant under high temperature and high pressure. Erosion and corrosion defects were expected on these tube and pipe-line by environmental and mechanical factors. These erosion and corrosion defects ran be evaluated by ultrasonic technique. In these study, Scanning Laser Source(SLS) technique was applied to detect defect and construct image. This technique also makes detection possible on rough and curved surfaces such as tube and pipe-line by scanning. Conventional ultrasonic scanning technique requires immersion of specimen or water jet for transferring ultrasonic wave between transducer and specimen. However, this SLS technique does not need contacting and couplant to generate surface wave and to get flaw images. Therefore, this SLS technique has several advantages, for complicated production inspection, non-contact, remote from specimen, and high resolution. In this study, SLS images were obtained with various conditions of generation laser ultrasound and receiving in order to enhance detectability of flaws on the tube. Stress corrosion cracks were produced on tube and images of stress corrosion cracks were constructed by using SLS technique.

CONSTRUCTION OF RECOMBINANT HSCC-1 ADENOVIRUS VECTOR FOR ORAL CANCER GENE THERAPY (구강암 유전자 치료를 위한 재조합 HSCC-1 아데노바이러스의 개발)

  • Kim, Chang-Hyen;Kim, Jin-Woo;Kim, Myung-Jin;Pyo, Sung-Woon
    • Maxillofacial Plastic and Reconstructive Surgery
    • /
    • v.27 no.2
    • /
    • pp.103-109
    • /
    • 2005
  • In spite of the ongoing advances, standard therapies for oral cancer still has some limitations in efficacy and in ability to prolong survival rate of advanced disease and result in significant functional defect and severe cosmetic deformity. Currently gene therapy using tumor suppressor gene is considered as a potent candidate for new therapeutic approaches that can improve efficacy and reduce complications. The purpose of this research is to identify the role of adenoviral vector to transfer HCCS-1 tumor suppressor gene in oral cancer cells and to find out whether there is a possibility for it to serve in the field of gene therapy. The human SCC-25 cell line was used for transfection. To determine the efficiency of the adenovirus as a gene delivery vector cell line was transduced with LacZ gene and analysed with X-gal staining. Northern blot was performed to confirm the tranfection with HSCC-1 gene and cell viability was assessed by cell cytotoxicity assay. We had successfully construct the recombinant HSCC-1 adenovirus(Ad5CMV-HCCS-1). DNA extracted from Ad5CMV-HCCS-1 revealed HCCS-1 gene is incorporated. The transduction efficiencies were over than 50% of SCC-25 cells with a MOI of 2 and over 95% with a MOI of 50. Northern blot analysis showed that a single 0.6kb mRNA transcript was expressed in Ad5CMV-HCCS-1 transduced SCC-25 cells. There was no or very low transcription HCCS-1 mRNA in wild and Ad5CMV-LacZ transduced SCC-25 cells. Cells transduced with Ad5CMV-HCCS-1 showed significant growth inhibition. By day 6, Ad5CMV-HCCS-1 treated cell count was decreased to 30% of mock-infected cells, while that of Ad5CMV-LacZ treated cells was 90% of mock-infected cells (p<0.05). Finally, these result suggest that the Ad5CMV-HCCS-1 has potential as a gene therapy tool for oral cancer.

Determined Car Door Latch Injection Molding Process Conditions through the Finite Elements Analysis (유한요소 해석을 통한 차량용 도어 래치 사출성형 공정조건 결정)

  • Lee, Jung-Hyun;Lee, Seon-Bong
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.17 no.10
    • /
    • pp.499-508
    • /
    • 2016
  • Injection molding is a method for manufacturing many products, wherein a plasticized resin is injected into a mold at high pressure and hardened. According to the method, the product can be manufactured into various forms, and the mass production of up to tens of thousands of products is possible. The purpose of this study was to determine the process conditions for manufacturing a door latch for automobiles, through an analysis of the injection molding method. To calculate an appropriate injection flow for injection molding, a primary analysis for comparing the injection time, pressure, flow pattern, consolidation range, shear stress, shear rate, and weld line, as well as a secondary analysis for determining the conditions for stabilizing the molding temperature, holding pressure, and cooling process, were conducted. The characteristics of injection molding, and their influence on the product quality are discussed. No weld line and pores were observed on the products that had been manufactured based on the process conditions determined above. In addition, there were no flaws regarding the deformation compared to the prototype. Therefore, the manufacture of a product under the conditions determined in this study can reduce the defect rate compared to the existing production, and the process is also more competitive due to reduced production time.

Environmental Test Tailoring for Fighter Aircraft Intended for Operating in Korean Peninsula (대한민국에서 운용될 전투기의 환경시험 테일러링 기법 연구)

  • Park, Jung Min;Lee, Jae Won;Myong, Rho Shin
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.47 no.5
    • /
    • pp.344-357
    • /
    • 2019
  • Operational failures may occur even though there had been no signs of defect during the manufacturing process, which may be caused due to exposure to environmental stress which had not been addressed properly during the design process. It is thus necessary to perform environmental testing to determine the cause of the failures. Environmental testing is also used to determine whether a materiel has enough tolerance to the environmental stress during its operation. In this study, the method and level for each environmental testing are properly tailored and applied to a fight aircraft intended to operate in ROK (Republic of Korea), based on the MIL-STD-810G Change 1. Since each part of a fighter aircraft may be exposed to each different environment, LRUs (Line Replaceable Units) exposed to similar environment should be tested similarly. In addition, the decision whether to apply specific test and the tailoring technique in test level were derived for natural and induced environments, respectively. As a fight aircraft is assumed to operate in ROK, the tailoring of test methods and test level to fit to the environment in Korean peninsula is necessary. Further research is needed in determining a specific procedure and a specific level in a test method, and also in determining the test sequence, when conducting more than one is needed, because it can alter test results and it hence becomes an essential element in test design.