• Title/Summary/Keyword: fatigue detection

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Sleep Environment Enhance Using Color Histogram (컬러 히스토그램을 이용한 수면 환경 개선)

  • Shin, Kwang-Seong;Rhee, Yang-Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.163-165
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    • 2011
  • In this paper we collect data concerning sleep environments in a bedroom and analyze the relationship between the collected condition data and sleep. In addition, this paper detects scene changes from the subjects in a sleeping state and presents the physical conditions, reactions during sleep, and physical sensations and stimuli. To detect scene changes in image sequences, we used color histogram for the difference between the preceding frame and the current frame. In addition, to extract the tossing and turning for different situations, the subjects were instructed to enter the level of fatigue, the level of drinking, and the level of stomach emptiness.

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Dilation and Erosion Technique using a Inspection of the Catenary System Design (침식, 팽창기법을 이용한 전차선 검측 시스템의 설계)

  • Kim, Woo-Sang;Jung, Min-Yong;Kim, Ji-Yoon
    • Journal of the Korean Society for Railway
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    • v.9 no.6 s.37
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    • pp.701-704
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    • 2006
  • The catenaries must guarantee the constant electricity to the trains, so that the safety and the estimate of fatigue degree and the inspection of abrasion degree should be done rapidly. This thesis proposes the system that can manage the performance/failure of the catenaries using the image process as the solution for the weak points of the existing inspection such as the decrease of immediateness and the lack of constancy in the human resources. This study simulates the ALD using VHSV (Virture HSV) which is the unreal HSV images, not getting the real HSV in ages to the image processing technique that repeats the erosion and the expansion of the images as the methods that can monitor the slight/critical defects of the catenaries as dealing with the result of the catenaries inspection images. The final ALD (Abnormal Line Detection) system is designed based on this simulation. I have demonstrated it with the VHSV (Virture HSV) virtual images as the materials of the test and inspected it through testing the defects of the catenaries for the thesis.

Malignancies in children who present with bone pain (뼈의 통증이 있을 때 감별해야 할 악성종양)

  • Lee, Jun Ah
    • Clinical and Experimental Pediatrics
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    • v.51 no.8
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    • pp.792-796
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    • 2008
  • Bone pain in a child could be associated with cancer as an initial manifestation of the disease. The childhood malignancies that frequently present bone pain are leukemia, neuroblastoma, and primary bone tumors such as osteosarcoma and Ewing sarcoma. Persistent bone or joint pain associated with swelling, mass, or limitation of motion implies underlying serious causes. Systemic manifestations such as lymphadenopathy, hepatosplenomegaly, fever, fatigue, night sweat, and laboratory abnormalities are also suggestive of malignancy. The index of suspicion tends to be low since less than 1% of children who complain of bone pain are diagnosed as cancer. Nonetheless, pediatricians should be alert to the possibilities of cancer since early detection and prompt treatment might reduce mortality.

Distributed crack sensors featuring unique memory capability for post-earthquake condition assessment of RC structures

  • Chen, Genda;McDaniel, Ryan;Sun, Shishuang;Pommerenke, David;Drewniak, James
    • Smart Structures and Systems
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    • v.1 no.2
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    • pp.141-158
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    • 2005
  • A new design of distributed crack sensors based on the topological change of transmission line cables is presented for the condition assessment of reinforced concrete (RC) structures during and immediately after an earthquake event. This study is primarily focused on the performance of cable sensors under dynamic loading, particularly a feature that allows for some "memory" of the crack history of an RC member. This feature enables the post-earthquake condition assessment of structural members such as RC columns, in which the earthquake-induced cracks are closed immediately after an earthquake event due to gravity loads, and are visually undetectable. Factors affecting the onset of the feature were investigated experimentally with small-scale RC beams under cyclic loading. Test results indicated that both crack width and the number of loading cycles were instrumental in the onset of the memory feature of cable sensors. Practical issues related to dynamic acquisition with the sensors are discussed. The sensors were proven to be fatigue resistant from shake table tests of RC columns. The sensors continued to show useful performance after the columns can no longer support additional loads.

Interface monitoring of steel-concrete-steel sandwich structures using piezoelectric transducers

  • Yan, Jiachuan;Zhou, Wensong;Zhang, Xin;Lin, Youzhu
    • Nuclear Engineering and Technology
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    • v.51 no.4
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    • pp.1132-1141
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    • 2019
  • Steel-concrete-steel (SCS) sandwich structures have important advantages over conventional concrete structures, however, bond-slip between the steel plate and concrete may lead to a loss of composite action, resulting in a reduction of stiffness and fatigue life of SCS sandwich structures. Due to the inaccessibility and invisibility of the interface, the interfacial performance monitoring and debonding detection using traditional measurement methods, such as relative displacement between the steel plate and core concrete, have proved challenging. In this work, two methods using piezoelectric transducers are proposed to detect the bond-slip between steel plate and core concrete during the test of the beam. The first one is acoustic emission (AE) method, which can detect the dynamic process of bond-slip. AE signals can be detected when initial micro cracks form and indicate the damage severity, types and locations. The second is electromechanical impedance (EMI) method, which can be used to evaluate the damage due to bond-slip through comparing with the reference data in static state, even if the bond-slip is invisible and suspends. In this work, the experiment is implemented to demonstrate the bond-slip monitoring using above methods. Experimental results and further analysis show the validity and unique advantage of the proposed methods.

KM-based Treatment of Viral Hepatitis A accompanied with Pancreatitis: A case report

  • Son, Chang-Gue
    • The Journal of Korean Medicine
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    • v.41 no.4
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    • pp.106-111
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    • 2020
  • Objectives: Hepatitis A is a typical acute hepatitis caused by hepatovirus, and then most patients recover easily without progression to chronic condition. However, certain cases have the risk of severe symptoms or even death. This case report presented a hepatitis A accompanied with pancreatitis, which had been completely recovered in a Korean medicine hospital. Case presentation: A 38-year woman had felt the malaise, mild chilling, muscle pain and abdominal discomfort for 10 days, which led her visit doctors and took anti-pyretic analgesics and digestants. The symptoms, especially epigastric pain and fatigue, became worse, and then she hospitalized in a Korean medicine hospital. Based on the drastic elevations of hepatic enzymes (aspartate transaminase 1,604 IU/L and alanine transaminase 2,825IU/L) with an anti-HAV IgM positive, she was diagnosed with hepatitis A. After bed rest and herbal drug treatment (CGX and Innae-Tang) for 5 days, the laboratory abnormalities and subjective symptoms had been improved gradually, except the upper gastric discomfort and pain. Those symptoms had anticipated the comorbidity with HAV-induced pancreatitis, supported by the high level of serum lipase release. Another 5-day hospitalized treatment improved all subjective symptoms and then the laboratory results were completely normalized including detection of anti-HAV IgG within 15 days after discharge. Conclusion: This study presented a typical hepatitis A accompanied with pancreatitis, which should be considered in diagnosis and management of hepatitis A.

A Study on Vehicle-based Durability Evaluation for Weight-reduced Valve Parts of the Dual Clutch Transmission

  • ChanEun Kim;TaeWook Kim
    • Tribology and Lubricants
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    • v.40 no.1
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    • pp.24-27
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    • 2024
  • A monotype valve body for a dual clutch transmission has the potential to reduce costs, weight, and manufacturing time by modularizing various parts, including those of existing solenoid packs and valve bodies, into one through the application of super-precision die casting technology. However, this approach may lead to challenges such as reduced rigidity and increased interference due to modularization and compactness, impacting both product performance due to the reduced weight as well as durability and reliability. Unlike existing products, this approach requires a high-precision thin-wall block to avoid more complicated flow line formation, interference between flow lines, and leaks, as well as a strict quality requirement standard and precise inspections including detection of internal defects. To conduct precise inspections, we built an equivalent model corresponding to a driving distance of 300,000 km. Testing involved simulating actual road loads using a real vehicle and a chassis dynamometer in the FTP-75 mode (EPA Federal Test Procedure). The aim of the study was to establish a vehicle load-based part durability model for manufacturing a mono-type valve body and to develop fundamental technology for part weight reduction through preliminary design by introducing analytical weight reduction technology based on the derived results.

A Study on the Strength Characteristics and Failure Detection of Single-lap Joints with I-fiber Stitching Method (I-fiber 스티칭 공법이 적용된 Single-lap Joint의 강도 특성 및 파손 신호 검출 연구)

  • Choi, Seong-Hyun;Song, Sang-Hoon;An, Woo-Jin;Choi, Jin-Ho
    • Composites Research
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    • v.34 no.5
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    • pp.317-322
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    • 2021
  • When a complex load such as torsion, low-speed impact, or fatigue load is applied, the properties in the thickness direction are weakened through microcracks inside the material due to the nature of the laminated composite material, and delamination occurs. To prevent the interlaminar delamination, various three-dimensional reinforcement methods such as Z-pinning and stitching, and structural health monitoring techniques that detect the microcrack of structures in real time have been continuously studied. In this paper, the single-lap joints with I-fiber stitching process were manufactured by a co-curing method and their strengths and failure detection capability were evaluated. AE and electric resistance method were used for detection of crack and failure signal and electric circuit for signal analysis was manufactured, and failure signal was analyzed during the tensile test of a single-lap joint. From the experiment, the strength of the single lap joint reinforced by I-fiber stitching process was improved by about 44.6% compared to the co-cured single lap joint without reinforcement. In addition, as the single-lap joint reinforced by I-fiber stitching process can detect failure in both the electrical resistance method and the AE method, it has been proven to be an effective structure for failure monitoring as well as strength improvement.

A Case of a 2-year-old Girl with Type I Gaucher Disease Presenting with Growth Retardation and Leg Pain (2세 여아에서 성장 부진과 다리 통증을 동반한 1형 고셔병 증례)

  • Park, Yesul;Hwang, Jae-Yeon;Hwang, Eun Ha;Cheon, Chong Kun;Lee, Beom Hee;Yoo, Han-Wook;Kim, Yoo-Mi
    • Journal of The Korean Society of Inherited Metabolic disease
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    • v.17 no.2
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    • pp.63-68
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    • 2017
  • Gaucher disease (GD) is caused by the deficiency of glucocerebrosidase. In pediatric patients with GD, especially Type I GD, enzyme replacement therapy (ERT) can reduce the hepatosplenomegaly and improve the hematologic finding and growth velocity. Herein, we report a 2-year-old girl with Type I GD presented with hepatosplenomegaly, bone pain and growth retardation. A 2 year-old-girl was referred to our hospital due to severe hepatosplenomegaly and growth retardation. She suffered from both leg pain and chronic fatigue. Simple x-ray showed widened distal long bones like that of an 'Erlenmeyer flask' which is associated with GD. The laboratory test showed anemia and thrombocytopenia. The enzyme activity was markedly reduced and the direct sequencing of the GBA gene showed the compound heterozygous mutations, p.G46E and p.L444P. As the G46E have been considered as the protective gene against neuronopathic genotype, we could assess the Type I GD in this patient. After one year of ERT, the growth velocity became 11 cm per year. Bone pain and fatigue disappeared. The volume of liver and spleen was reduced from $683cm^3$ and $703cm^3$ to $590cm^3$ and $235cm^3$, respectively. Although GD is an extremely rare disease in Korea, growth retardation and bone pain in children are the important signs which lead to early detection of GD and a simple radiologic finding is helpful to assess the GD at outpatient clinic. We highlight that the early diagnosis and early ERT is important for good growth and outcome for pediatric patients with GD.

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Flaw Evaluation of Bogie connected Part for Railway Vehicle Based on Convolutional Neural Network (CNN 기반 철도차량 차체-대차 연결부의 결함 평가기법 연구)

  • Kwon, Seok-Jin;Kim, Min-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.53-60
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    • 2020
  • The bogies of railway vehicles are one of the most critical components for service. Fatigue defects in the bogie can be initiated for various reasons, such as material imperfection, welding defects, and unpredictable and excessive overloads during operation. To prevent the derailment of a railway vehicle, it is necessary to evaluate and detect the defect of a connection weldment between the car body and bogie accurately. The safety of the bogie weldment was checked using an ultrasonic test, and it is necessary to determine the occurrence of defects using a learning method. Recently, studies on deep learning have been performed to identify defects with a high recognition rate with respect to a fine and similar defect. In this paper, the databases of weldment specimens with artificial defects were constructed to detect the defect of a bogie weldment. The ultrasonic inspection using the wedge angle was performed to understand the detection ability of fatigue cracks. In addition, the convolutional neural network was applied to minimize human error during the inspection. The results showed that the defects of connection weldment between the car body and bogie could be classified with more than 99.98% accuracy using CNN, and the effectiveness can be verified in the case of an inspection.