• Title/Summary/Keyword: abnormal development

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Development of a Deep Learning Prediction Model to Recognize Dangerous Situations in a Gas-use Environment (가스 사용 환경에서의 위험 상황 인지를 위한 딥러닝 예측모델 개발)

  • Kang, Byung Jun;Cho, Hyun-Chan
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.1
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    • pp.132-135
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    • 2022
  • Recently, with the development of IoT communication technology, products and services that detect and inform the surrounding environment under the name of smart plugs are being developed. In particular, in order to prepare for fire or gas leakage accidents, products that automatically close and warn when abnormal symptoms occur are used. Most of them use methods of collecting, analyzing, and processing information through networks. However, there is a disadvantage that it cannot be used when the network is temporarily in a failed state. In this paper, sensor information was analyzed using deep learning, and a model that can predict abnormal symptoms was learned in advance and applied to MCU. The performance of each model was evaluated by developing firmware that can judge and process on its own regardless of network and applying a predictive model to the MCU after 3 to 120 seconds.

Hyperkinetic Rat Model Induced by Optogenetic Parafascicular Nucleus Stimulation

  • Moonyoung Chung;Young Seok Park
    • Journal of Korean Neurosurgical Society
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    • v.66 no.2
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    • pp.121-132
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    • 2023
  • Objective : The parafascicular nucleus (PF) plays important roles in controlling the basal ganglia. It is not well known whether the PF affects the development of abnormal involuntary movements (AIMs). This study was aimed to find a role of the PF in development of AIMs using optogenetic methods in an animal model. Methods : Fourteen rats were underwent stereotactic operation, in which they were injected with an adeno-associated virus with channelrhodopsin (AAV2-hSyn-ChR2-mCherry) to the lateral one third of the PF. Behavior test was performed with and without optical stimulation 14 days after the injection of the virus. AIM of rat was examined using AIM score. After the behavior test, rat's brain was carefully extracted and the section was examined using a fluorescence microscope to confirm transfection of the PF. Results : Of the 14 rats, seven rats displayed evident involuntary abnormal movements. AIM scores were increased significantly after the stimulation compared to those at baseline. In rats with AIMs, mCherry expression was prominent in the PF, while the rats without AIM lacked with the mCherry expression. Conclusion : AIMs could be reversibly induced by stimulating the PF through an optogenetic method.

Assessment of Risk Factors for Dental Developmental Disorders in Pediatric Cancer Survivors

  • Jihyun Lee;Hyung-Jun Choi;Jaeho Lee;Je Seon Song;Chung-Min Kang
    • Journal of the korean academy of Pediatric Dentistry
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    • v.50 no.4
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    • pp.421-433
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    • 2023
  • This study was to examine the developmental dental abnormalities in childhood cancer survivors. Risk factors were assessed for 125 children with radiographic data through a retrospective analysis of medical records and panoramic images. 68.0% of childhood cancer survivors exhibited at least one dental abnormality. The types of abnormalities varied depending on the age at cancer diagnosis and treatment intensity, ranging from microdontia (43.2%), to abnormal root development (39.2%) and tooth agenesis (33.6%). Logistic regression analysis demonstrated that a young age at diagnosis (under 3 years), the use of heavy metal agents, a history of hematopoietic stem cell transplantation (HSCT), and combination treatment of chemotherapy, radiation therapy, and HSCT were associated with a significantly higher risk for overall dental abnormalities. The increased risk ratios were 6.00, 3.06, 3.22, and 7.87, respectively (p < 0.05). The results of this study will predict dental abnormality in permanent dentition according to the diagnosis age and treatment method of childhood cancer.

Research on the E-Commerce Credit Scoring Model Using the Gaussian Density Function

  • Xiao, Qiang;He, Rui-chun;Zhang, Wei
    • Journal of Information Processing Systems
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    • v.11 no.2
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    • pp.173-183
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    • 2015
  • At present, it is simple to the electronic commerce credit scoring model, as a brush credit phenomenon in E-commerce has emerged. This phenomenon affects the judgment of consumers and hinders the rapid development of E-commerce. In this paper, that E-commerce credit evaluation model that uses a Gaussian density function is put forward by density test and the analysis for the anomalies of E-commerce credit rating, it can be fond out the abnormal point in credit scoring, these points were calculated by nonlinear credit scoring algorithm, thus it can effectively improve the current E-commerce credit score, and enhance the accuracy of E-commerce credit score.

Error Analysis Study on the Veering of Marine Target and the Midcourse Guidance of Anti-ship Missile (해상표적의 변침과 대함유도탄의 중기유도 오차분석 연구)

  • Kim, In-Soo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.6
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    • pp.582-590
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    • 2020
  • This paper presents the results of new error analysis on the veering of marine target with the concept of frequency of occurrence, and shows how to apply the midcourse guidance errors of anti-ship missile. The veering error would be a dominant factor in the midcourse guidance errors with flight time increase. This study suggests the reasonable application method of the veering error based on the characteristics of abnormal error, and describes the tailoring method including trade-off between the midcourse guidance range of veering target and the value of frequency of occurrence on veering error.

Development of Tension Leveller Condition Monitoring and Diagnosis System (TENSION LEVELLER 상태감시 및 진단시스템 개발)

  • 신남호;김수광;최석욱
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.350-354
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    • 1995
  • The Tension Leveller of Cold Rolling Mill In POSCO performs levelling the strip in high speed line. But minor variations in operating condition of driving machines such as motor, gear box, and support bearings, a small gap-variation of supporter and strip slip by poor roll revolutions can cause serious problems in the quality of strip. In this study, firstly, A condition monitoring standard for each sensor is made through with the detail analysis of vibration and strip slip. Secondly, An automatic monitoring and diagnosing system was developed to monitor the condition of Tension Leveller, and diagnose the cause of abnormal condition. Finally, A diagnosing algorithm for abnormal condition and man-machine interface (MMI) for easy operation are developed.

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Development of the Fluorescence Endoscope System with Dual Light Source Apparatus (복합 광원을 갖는 형광 내시경 개발)

  • Bae, Soo-Jin;Kang, Uk
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.1
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    • pp.222-226
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    • 2007
  • We suggest the fluorescence endoscope system that has light source apparatus providing selectable white or excitation light. White light source generates normal color images and is easily switched over to excitation light with the wide spectrum range from 380 nm to 580 nm. 5-ALA is deposited selectively in the abnormal tissue like cancer and causes fluorescence in the red spectrum range when excited by blue spectrum range. In addition, the others of excitation light make the color background image by reflected light to allow accurate orientation and visualization of the abnormal tissue and around. According to clinical studies, the fluorescence intensity contrast that defines the fluorescence intensity of lesion over the fluorescence intensity of around has more than 2 in tumour. Proposed system is useful and objective way in early diagnosis. Furthermore, it can be used in the biopsy for tumour classification at the highest fluorescence intensity point.

A case report of congenitally abnormal rabbit-headed stillbirth Najdi lamb

  • Elsokary, Mohamed M.M.;Shehata, Seham F.;Saadedin, Islam M.
    • Journal of Animal Reproduction and Biotechnology
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    • v.35 no.3
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    • pp.265-267
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    • 2020
  • The congenital head anomalies are most often used to describe defects in the eyes, mouth, nose, skull, and or brain. The faulty embryogenesis most likely found to be associated with abnormal genetic or epigenetic causes during pregnancy. Eventually it leads to congenital anomalies. Rabbit-headed Lamb (RH) is a disorder in sheep breeding that is characterized by some deformities in the head and the face. A dead -day old- crossbred white Najdi lamb with a deformed face and head was reported to be born in the current case. The external and physical examination revealed a deformed skull and facial region with a unilateral eye, fused mouth, pig-like nose, and patent skull with the brain coming out from left eye orbit. Additionally, the lamb was very skinny with unusual long extremities. This is the first report of this syndrome that describes such deformities in a stillbirth Najdi breed lamb.

Diagnosing the Condition of Air-conditioning Compressors by Analyzing the Waveform of the Raw AE Signal

  • Kim Jeon-Ha;Lee Gam-Gyu;Kang Ik-Soo;Kang Myung-Chang;Kim Jeong-Suk
    • International Journal of Precision Engineering and Manufacturing
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    • v.7 no.3
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    • pp.14-17
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    • 2006
  • To diagnosis abnormal compressor conditions in an air-conditioner, the acoustic emission (AE) signal, which is derived from wear condition, compressed air, and assembly error, was analyzed experimentally. Burst and continuous type AE signals resulted from metal contact and compressed air, and the raw AE signal of compressors was acquired in the production line. After extracting samples using waveforms, the Early Life Test (ELT) was conducted and the waveform was classified as normal or abnormal. Efficient parameters in the waveform pattern were investigated in time and frequency domains and a diagnosis algorithm for air-conditioners using Neural Network estimation is suggested.

Fault Detection System Development for a Spin Coater Through Vibration Assessment (스핀코터의 진동 평가를 통한 이상 검출 시스템 개발)

  • Moon, Jun-Hee;Lee, Bong-Gu
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.11
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    • pp.47-54
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    • 2009
  • Spin coaters are the essential instruments in micro-fabrication processes, which apply uniform thin films to flat substrates. In this research, a spin coater diagnosis system is developed to detect the abnormal operation of TFT-LCD process in real time. To facilitate the real-time data acquisition and analysis, the circular-buffered continuous data transfer and the short-time Fourier transform are applied to the fault diagnosis system. To determine whether the system condition is normal or not, a steady-state detection algorithm and a frequency spectrum comparison algorithm using confidence interval are newly devised. Since abnormal condition of a spin coater is rarely encountered, algorithm is tested on a CD-ROM drive and the developed program is verified by a function generator. Actual threshold values for the fault detection are tuned in a spin coater in process.