• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.1
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• pp.25-30
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• 2008

In this study, the Fourier-Domain optical measurement system, which use a commercial high power white LED as a light source and a CCD linear-array as a detector is realized. The proposed system shows the axial measurement range over $125{\mu}m$ and the axial resolution below $1.24{\mu}m$. This system has the advantage of the cost effective and compact structure and also the better resolution than the existing technologies, which have a resolution above a few of ${\mu}m$ and use bulky and/or expensive broadband light sources.

• Korean Journal of Applied Biomechanics
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• v.15 no.4
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• pp.67-74
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• 2005

The purpose of this study is to compare and analyze the muscle activations between the professional golfers without low back pain symptom and the professional golfers with low back pain symptom, and so identify the stress related to golf swings, and provide the basic data to minimize the low back pain and the injury risk. Using surface electrode electromyography, we evaluated muscle activity in 6 male professional golfers during the golf drive swing. Surface electrodes were used to record the level of muscle activity in the Abdominal Oblique, Elector Spinae, Rectus Abdominis, Gluteus Maximus muscles during the golfer's swing. These signals were compared with %RVC(Reference voluntary contraction) which was normalized by IEMG(Integrated EMG). The golf swing was divided into five phases: take away, forward swing, acceleration, early follow through, late follow through. we observed patterns of trunk muscle activity throughout five phases of the golf swing. The results can be summarized as follows: RES(Right Elector Spinae) had statistically significant difference in take away phase, LGM(Left Gluteus Maximus), LRA(Left Rectus Abdominis), LOA(Left Oblique Abdominal) had statistically significant difference in forward swing phase, RES(Right Elector Spinae), RGM(Right Gluteus Maximus), ROA(Right Oblique Abdominal) had statistically significant difference in acceleration phase, RES(Right Elector Spinae), RGM(Right Gluteus Maximus) had statistically significant difference in early follow-through phase, LES(Left Elector Spinae), RGM(Right Gluteus Maximus) had statistically significant difference in late follow through phase.

• Proceedings of the KIPE Conference
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• 2019.11a
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• pp.216-217
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• 2019

The battery powered electric vehicle (EV) is one of most promising technologies in 21^st century. Though the lithium batteries are playing an important role in the EVs, they are only applicable until their capacities reach 80%, the end of its useful first life. Yet, these batteries can live a second life such as Energy Storage Systems (ESS). In order to utilize the Residual Useful Life (RUL) of the batteries the State of Health (SOH) of them needs to be estimated by a nondestructive test such as Electrochemical Impedance Spectroscopy (EIS) technique. Though many kinds of different EIS instruments are commercially available, most of them can only test a battery module less than 10V and the price of the instrument is very high. In this paper a low-cost EIS instrument suitable for measuring the impedance spectrum of the high voltage battery module is proposed and its validity is verified through the experiments. In order to prove the accuracy of the developed EIS instrument its measured impedance spectrum is compared with the results obtained by a commercial instrument. The Chi Square value calculated between two impedance spectrum measured by both developed and commercial instruments are less than 2%, which prove the strong correlation between two results.

• Proceedings of the KIEE Conference
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• 2006.07e
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• pp.29-30
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• 2006

GIS 예방진단을 위해 개발한 "UHF 온라인 부분방전 상시감시시스템"을 실 변전소에 설치하여 실증시험을 수행하였다. 345 kV급 변전소의 GIS 2개 bay를 감시하기 위해, GIS에 설치된 총 14개의 UHF 센서로부터 측정된 방전신호를 변전소 switchyard에 설치된 local unit에서 수집하였다. Local unit에서 UHF 대역의 방전신호를 디지털 신호로 변환한 후, 광섬유를 통해 변전소 급전분소에 설치된 중앙서버에 전송토록 하였다. 중앙처리장치에서는 단위 방전신호의 분석 및 트랜드 분석이 가능하며, 사용자에게 자동으로 방전원인을 알려준다. 설치된 상시감시시스템은 우수한 외부 잡음제거능력을 보였으며, 측정된 방전신호를 요약하여 사용자에게 reporting하는 등 다양한 편의성을 제공하고 있다.

• Journal of Chest Surgery
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• v.22 no.5
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• pp.800-805
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• 1989

The roentgenologic appearance of carcinoma of the lung may vary considerably from case to case. And when it forms cavitary lesion, it is frequently confused with benign lesions and treated conservatively. Twenty-seven patients with cavitary bronchogenic carcinoma were treated in our St. Marys Hospital during the period 1984-1989. There were 24 males and 3 females. They ranged in age from 43 to 76 years. Symptoms of cough, blood-streaked sputum or pleuritic chest pain were present in all patients one month to 6 months before hospital admission and 7 patients among them were delayed in recognition of the malignancy from z month to 3 months. Of 27 malignancies with cavity, 22[81.5 %] were squamous cell ca., 3[11.1%] were large cell ca., and 2[7.4%] were adenoca. And of 22 squamous cell carcinomas, 5 were well differentiated, 13 were moderately and 4 were poorly. All lobes except Rt. middle lobe were involved [RUL 2 cases, RLL 13 cases, LUL 3 cases and LLL 9 cases]. We explored 16 patients and performed 7 lobectomy, 4 bi-lobectomy, 2 pneumonectomy and 3 08zC. Post-operative follow-up examination of the resected 13 patients indicated one and two year survival rates of 69.1 %[9/13 cases] and 37.5%[3/8 cases] respectively, and now 6 survivors whose post-operative periods were from 4 months to 37 months.

• Journal of Chest Surgery
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• v.25 no.7
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• pp.711-715
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• 1992

Massive hemoptysis is defined as pulmonary hemorrhage of more than 600ml to 800ml within 24hours. Among the many causes, the most common include pulmonary tuberculosis, abscess, bronchiectasis, cystic fibrosis bronchial carcinoma. Most acute episodes of hemoptysis last less than 24 hours and gradually subside. However, when the hem-optysis is massive, it carries a mortality rate of 50% to 100%. It is generally agreed that surgery is the treatment of choice for patients with massive hemoptysis. We had the one case of 39 year-old male with recurrent massive hemoptysis. In the past history, he had pulmonary tuberculosis 20 years ago but no chest trauma, Previous chest CT showed well defined cavitary lesion with calcification on RUL Under the bronchoscope finding, we indentified active bleeding from right upper lobe bronchus without end-obronchial lesion. Therefore, emergency thoracotomy was done with impression of hem-optysis due to pulmonary tuberculosis. But operative findings were as follows ; the 4th fractured rib was impacted into the lung parenchyme with severe adhesion and middle lobe was not inflated. So, Upper and middle lobectomy were performed. He was diagnosed finally by operative and pathological findings as massive hemoptysis due to impaction of fractured rib into the lung parenchyme and discharged without complication.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.221-224
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• 2019

본 논문에서는 엣지 컴퓨팅을 무인 마켓에 도입하여 엣지 컴퓨팅의 효율성을 확인하고, 로컬 네트워크의 효율적인 대역폭 할당을 위한 두 가지 방법을 제안한다. 무인 마켓과 같이 엄청난 양의 데이터를 필요로 하고 만들어내는 서비스에서는 데이터들을 클라우드로 전송하여 소비자가 불편함을 느끼지 못하도록 빠르게 처리하는 것은 불가능에 가깝다. 그래서 우리는 Amazon Go 를 벤치마킹한 무인 마켓에 엣지 컴퓨팅을 도입하여 이를 구현한다. 그리고 구현한 시스템에서 엣지 컴퓨팅 외에 클라우드 컴퓨팅, 모바일 장치를 적용하여 처리할 때의 응답 시간을 분석하여 엣지 컴퓨팅의 높은 성능을 확인한다. 또한, 구현한 무인 마켓에서 데이터 전송의 효율성을 더욱 높이기 위해 카메라 단위와 매대 단위의 대역폭 할당 기법을 제안한다. 카메라 단위로는 모션 인식기술을 활용하여 움직임이 감지될 때만 각 이미지 프로세스에서 요구되는 고해상도로 송신하는 기법을 제안한다. 매대 단위로는 네트워크에서 수용 가능한 대역폭 임계치에 도달하지 못하게 하기 위해 매대 별 우선순위에 따른 대역폭 할당 스케줄링 기법을 제안한다. 그 결과로 평균 소모대역폭과 최대 소모대역폭을 비교하여 제안한 두 가지 기법이 기존의 방법에 비해 성능을 향상시키는 것을 보인다.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.12
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• pp.21-27
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• 2020

Lithium-ion batteries are the heart of energy-storing devices and electric vehicles. Owing to their superior qualities, such as high capacity and energy efficiency, they have become quite popular, resulting in an increased demand for failure/damage prevention and useable life maximization. To prevent failure in Lithium-ion batteries, improve their reliability, and ensure productivity, prognosticative measures such as condition monitoring through sensors, condition assessment for failure detection, and remaining useful life prediction through data-driven prognostics and health management approaches have become important topics for research. In this study, the residual useful life of Lithium-ion batteries was predicted using two efficient artificial recurrent neural networks-ong short-term memory (LSTM) and gated recurrent unit (GRU). The proposed approaches were compared for prognostics accuracy and cost-efficiency. It was determined that LSTM showed slightly higher accuracy, whereas GRUs have a computational advantage.

• The Transactions of the Korean Institute of Power Electronics
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• v.26 no.3
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• pp.167-175
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• 2021

Reusing electric vehicle batteries after they have been retired from mobile applications is considered a feasible solution to reduce the demand for new material and electric vehicle costs. However, the evaluation of the value and the performance of second-life batteries remain a problem that should be solved for the successful application of such batteries. The present work aims to estimate the remaining useful life of Li-ion batteries through the neuro-fuzzy system with the equivalent circuit parameters obtained by Electrochemical Impedance Spectroscopy (EIS). To obtain the impedance spectra of the Li-ion battery over the life, a 18650 cylindrical cell has been aged by 1035 charge/discharge cycles. Moreover, the capacity and the parameters of the equivalent circuit of a Li-ion battery have been recorded. Then, the data are used to establish a neuro-fuzzy system to estimate the remaining useful life of the battery. The experimental results show that the developed algorithm can estimate the remaining capacity of the battery with an RMSE error of 0.841%.

• Journal of IKEEE
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• v.26 no.4
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• pp.531-536
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• 2022

In order to efficeintly manage a battery, it is important to accurately estimate and manage the SOH(State of Health) and RUL(Remaining Useful Life) of the batteries. Even if the batteries are of the same type, the characteristics such as facility capacity and voltage are different, and when the battery for the training model and the battery for prediction through the model are different, there is a limit to measuring the accuracy. In this paper, We proposed the entropy index using voltage distribution and discharge time is generalized, and four batteries are defined as a training set and a test set alternately one by one to predict the health status of batteries through linear regression analysis of machine learning. The proposed method showed a high accuracy of more than 95% using the MAPE(Mean Absolute Percentage Error).