• Title/Summary/Keyword: Sensory signal

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MR Imaging of Radiation-Induced Lumbosacral Plexopathy, as a Rare Complication of Concomitant Chemo-Radiation for Cervical Cancer

  • Hwang, Eun Taeg;Son, Hye Min;Kim, Jin Young;Moon, Sung Min;Lee, Ho Seok
    • Investigative Magnetic Resonance Imaging
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    • v.24 no.1
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    • pp.46-50
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    • 2020
  • Radiation-induced lumbosacral plexopathy (RILSP) is an uncommon complication of pelvic radiotherapy that can result in different degrees of sensory and motor deficits. An age 59 female with cervical cancer, who had received combined chemotherapy and radiation therapy two years before, presented with bilaterally symmetric lower-extremity weakness and tingling sensation. The magnetic resonance imaging showed diffuse T2 bright signal intensity and mild enhancement along the bilateral lumbosacral plexus with no space-occupying masses. RILSP was diagnosed after the exclusion of malignant and inflammatory plexopathies.

Development of Fuzzy Controller for Camera Autotracking System (원격 감시카메라 자동추적시스템의 퍼지제어기 개발에 관한 연구)

  • 윤지섭;박영수
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.8
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    • pp.2062-2072
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    • 1994
  • This paper presents the development of a fuzzy controller for driving camera pan/tilt device so that the camera's viewing direction can automatically track a moving object. To achieve computational efficiency a non-contact type displacement follower is used as a feedback sensor instead of a vision camera. The displacement follower, however, is extremely sensitive to object's lighting condition and results in unstable response at high speed. To this end, a fuzzy controller is developed in such a way to provide stable tracking performance at high speed where the sensory signal is subjected to intermittant disturbances of large magnitude. The test result shows stable tracking response even for high speed and non-uniform lighting condition. The resulting camera autotracking system can be adopted as an effective tool for visual transfer in the context of teleoperation and autonomous robotics.

A Case of Acute Cerebral Motor Cortical Infarction Coincidentally Occurred in Segmental Zoster Paresis (분절성 대상포진마비와 동시에 발병한 급성 뇌운동피질경색 1예)

  • Do, Young Rok;Lee, Dong Kuck
    • Annals of Clinical Neurophysiology
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    • v.7 no.1
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    • pp.31-33
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    • 2005
  • Segmental zoster paresis (SZP) is a clinically rare complication of herpes zoster. But it has not been reported that acute cerebral motor cortical infarction coincidentally occurred in SZP. A 86-year-old woman was admitted due to pain, tingling sensation, and weakness of left arm. She had an acute onset of pain and tingling sensation in left arm at first day, shoulder weakness at second day, and multifocal vesicles at fourth day. Deep tendon reflexes of left arm were decreased than right. Electromyography showed an axonal polyneuropathy at superior trunk level of left brachial plexus. Median and ulnar sensory evoked potential tests were normal. Brain MRI showed a high signal in right primary motor cortex on diffusion weighted image. We report a case of acute cerebral motor cortical infarction coincidentally occurred in SZP.

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The Role of the ATP in the Pain Signal Transmission (통증 신호 전달에 있어서 ATP의 역할)

  • Koo Hyun-Mo;Nam Ki-Won;Kim Jin-sang
    • The Journal of Korean Physical Therapy
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    • v.14 no.4
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    • pp.20-27
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    • 2002
  • A role for ATP in nociception and pain induction was proposed. ATP-gated P2X ion channel receptors are localized throughout the nervous system and have been identified on neurons which participate in conduction of nociceptive information from the periphery to central nervous system. We consider the role of ATP as a peripheral activator of nociceptive sensory neuron via ATP-gated ion channels.

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Development of In process Condition Monitoring System on Turning Process using Artificial Neural Network. (신경회로망 모델을 이용한 선삭 공정의 실시간 이상진단 시스템의 개발)

    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.7 no.3
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    • pp.14-21
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    • 1998
  • The in-process detection of the state of cutting tool is one of the most important technical problem in Intelligent Machining System. This paper presents a method of detecting the state of cutting tool in turning process, by using Artificial Neural Network. In order to sense the state of cutting tool. the sensor fusion of an acoustic emission sensor and a force sensor is applied in this paper. It is shown that AErms and three directional dynamic mean cutting forces are sensitive to the tool wear. Therefore the six pattern features that is, the four sensory signal features and two cutting conditions are selected for the monitoring system with Artificial Neural Network. The proposed monitoring system shows a good recogniton rate for the different cutting conditions.

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Geometric Accuracy Measurement of Machined Surface Using the OMM (On the Machine Measurement) System

  • Kim, Sun-Ho;Lee, Seung-Woo;Kim, Dong-Hoon;Lee, An-Sung;Lim, Sun-Jong;Park, Kyoung-Taik
    • International Journal of Precision Engineering and Manufacturing
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    • v.4 no.4
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    • pp.57-63
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    • 2003
  • Machining information such as form accuracy and surface roughness is an important factor for manufacturing precise parts. To this regard, OMM (On the Machine Measurement) has been researched for last several decades to alternate CMM (Coordinate Measurement Machine) process. In this research, the OMM system with a laser displacement sensor was developed for measuring form accuracy and surface roughness of the machined workpiece on the machine tool. The surface roughness was estimated comparing the sensory signal with the reference data measured from master specimen. Also, form accuracy was determined from the moving averaged raw data. In addition, the geometric error map constructed beforehand using the geometric errors of the machine tool was used to compensate the obtained form accuracy. The overall performance was compared with CMM result, and verified the feasibility of the measurement system.

A Case of Cerebral Adrenomyeloneuropathy with Extensive Cerebral Lesions (광범위한 대뇌병터를 보인 대뇌형 부신척수신경병증 1예)

  • Kim, Hyun-Jung;Min, Ju-Hong;Lee, Kwang-Woo
    • Annals of Clinical Neurophysiology
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    • v.9 no.2
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    • pp.97-101
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    • 2007
  • We report a 31-year-old man with cerebral adrenomyeloneuronopathy variant, who presented as progressive gait disturbance. He had spastic paraparesis, hyperreflexia without Babinski's sign and sensory symptom. No adrenal insufficiency was noted. Brain MRI showed extensive high signal intensities in bilateral temporal lobes and posterior periventricular white matter in T2 weighed imaging without cerebrospinal fluid abnormality. His nerve conduction study showed sensorimotor demyelinating polyneuropathy and the level of saturated very-long-chain fatty acids was high in his plasma, although neuropsychological test was normal.

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Delayed Post-Traumatic Spinal Cord Infarction with Quadriplegia: A Case Report

  • Kim, Tae Hoon
    • Journal of Trauma and Injury
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    • v.34 no.4
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    • pp.279-283
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    • 2021
  • Traumatic spinal cord infarction is a rare condition that causes serious paralysis. The regulation of spinal cord blood flow in injured spinal cords remains unknown. Spinal cord infarction or ischemia has been reported after cardiovascular interventions, scoliosis correction, or profound hypotension. In this case, a 52-year-old man revisited the emergency center with motor and sensory abnormalities in all four extremities 56 hours after a motor vehicle collision. Despite the clinical presentation and imaging examination, there were no specific findings on the patient's first visit to the trauma center. Cervical spine computed tomography angiography showed a narrow vertebral artery, and diffusion-weighted imaging revealed spinal cord infarction from C3 to C5 with high signal intensity. It should be kept in mind that delayed-onset spinal cord infarction may occur in minor or major trauma patients as a result of head and neck injuries.

In-process Monitoring of Milling Chatter by Artificial Neural Network (신경회로망 모델을 이용한 밀링채터의 실시간 감시에 대한 연구)

  • Yoon, Sun-Il;Lee, Sang-Seog;Kim, Hee-Sool
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.5
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    • pp.25-32
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    • 1995
  • In highly automated milling process, in-process monitoring of the malfunction is indispensable to ensure efficient cutting operation. Among many malfunctions in milling process, chatter vibration deteriorates surface finish, tool life and productivity. In this study, the monitoring system of chatter vibration for face milling process is proposed and experimentally estimated. The monitoring system employs two types of sensor such as cutting force and acceleration in sensory detection state. The RMS value and band frequency energy of the sensor signals are extracted in time domain for the input patterns of neural network to reduce time delay in signal processing state. The resultes of experimental evaluation show that the system works well over a wide range of cutting conditions.

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Tool Wear Monitoring in Milling Operation Using ART2 Neural Network (ART2 신경회로망을 이용한 밀링공정의 공구마모 진단)

  • Yoon, Sun-Il;Ko, Tae-Jo;Kim, Hee-Sool
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.12
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    • pp.120-129
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    • 1995
  • This study introduces a tool wear monitoring technology in face milling operation comprised of an unsupervised neural network. The monitoring system employs two types of sensor signal such as cutting force and acceleration in sensory detection state. The RMS value and band frequency energy of the sensor signals are calculated for te input patterns of neural network. ART2 neural network, which is capable of self organizing without supervised learning, is used for clustering of tool wear states. The experimental results show that tool wear can be effectively detected under various cutting conditions without prior knowledge of cutting processes.

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