• 한국물환경학회지
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• 제38권1호
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• pp.31-42
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• 2022

Dissolved organic matter (DOM), which changes according to various factors, is ubiquitously present from natural environments to engineered treatment systems. Only limited information is available regarding the environmental functions of DOM after bulk analyses are only applied for characterization. In this paper, latest DOM analytical techniques are briefly introduced, which include fluorescence excitation-emission matrix with parallel factor analysis (EEM-PARAFAC), size-exclusion chromatography with an organic carbon detector (SEC-OCD), carbon/nitrogen stable-isotope ratio, and Fourier transform-ion cyclotron resonance-mass spectroscopy (FT-ICR-MS). Recent examples of using advanced analyses to interpret the phenomena associated with DOM occurring in natural and engineered systems are presented here. Through EEM-PARAFAC, different components like protein-like, fulvic-like, and humic-like can be identified and tracked individually through the investigated systems. SEC-OCD allows researchers to quantify different size fractions. FT-ICR-MS provides thousands of molecular formulas present in bulk DOM samples. Lastly, carbon/nitrogen stable-isotope ratio offers reasonable tools for tracking the sources in environments. We also discuss the advantages and weakness of the above-mentioned characterizing tools. Specifically, they focus on single environmental factors (different sourced-DOM and interaction of sediment-pore water) or simple changes after individual treatment processes. Through collaboration with the advanced techniques later, they help the researchers to better understand environmental behaviors in aquatic systems and serve as essential tools for addressing various pending problems associated with DOM.

• Physical Therapy Rehabilitation Science
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• 제11권4호
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• pp.478-487
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• 2022

Objective: This study was conducted to analyze the effect of wearable complex muscle support system on energy efficiency during walking in elderly. Design: Cross sectional study Methods: Twenty healthy elderly participated in this study. All subjects performed a 6 minuteswalk test(6MWT) and stair climbing test in dual, slack and no suit conditions. In each condition, oxygen consumption(VO₂), metabolic equivalents(METs), energy expenditure measures(EEm), physiological cost index(PCI), walking velocity and heartrate were measured. Through repeated measured ANOVA, it was investigated whether there was a statistically significant difference in the measurement results between the three conditions. Results: In over-ground walking, VO₂, METs and EEm showed significant differences between no suit and slack conditions(p<0.05). In stair climbing, VO₂ showed significant difference between slack and dual conditions(p<0.05). Also, METs and EEm showed significant differences between no suit and slack, and between slack and dual conditions(p<0.05). Conclusions: Wearing the wearable complex muscle support system for elderly does not have much benefit in energy metabolism efficiency in over-ground, but there is a benefit in stair walking.

• 대한환경공학회지
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• 제28권9호
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• pp.940-948
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• 2006

형광측정법은 자연유기물질을 간편하고 신속하게 분석함으로써 타 분석법에 비해 현장에서 실시간으로 수질관리에 활용할 수 있는 월등한 장점을 가지고 있다. 본 연구에서는 표준자연유기물질, 호소수 및 하천수 등 다양한 시료의 형광지표($F_{450}/F_{500}$), synchronous 스펙트럼, 형광 EEM(excitation-emission matrix)을 조사하고 시료 간 상호비교를 통해 자체생성/외부생성 유기물, 단백질계, 펄빅산계, 휴믹산계, 육질성 휴믹산계 형광특성 영역을 구분하였다. 또한 각 영역간의 형광세기 비를 이용하여 다양한 유기물 성분의 상대적인 분포를 파악하였다. 각 시료에서 얻어진 형광특성 및 형광세기 비는 시료의 수질 특징에서 예상되는 결과와 잘 일치하였다. 자연유기물의 생성지가 육지성일수록 외부생성 유기물 및 육질성 휴믹산계 형광특징이 더 크게 나타났고 하수 처리수의 영향을 받거나 조류 및 미생물 활동이 활발한 지점에서는 단백질계 형광특성이 뚜렷하게 나타났다. 특히, synchronous 형광스펙트럼이나 형광 EEM에서 얻어지는 단백질계/육질성 휴믹산계 형광세기 비는 도심지 하천의 경우 하수종말처리장 방류수 영향을 평가하는 지표로, 또한 호수의 경우 조류 및 미생물 활동 정도를 예측하는 지시자로서 사용될 수 있음을 보여 주었다. 본 연구는 현장시료를 사용한 자연유기물질 형광분석법 및 그 해석에 대한 기초자료를 제시하였으며 이 연구결과는 향후 유기물 성분분포 파악이 필요한 수질관리 분야에서 유용하게 사용될 수 있을 것으로 기대한다.

• 한국의학물리학회지:의학물리
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• 제12권1호
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• pp.9-17
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• 2001

본 논문의 목적은 조직(Tissue)에서의 광학적 특성(Optical Properties)을 이용한 광학적 생검(Optical Biopsy)방법을 소개하고, 방사선 치료에서 치료 반응 결과를 확인하는데 적당한 도구인가를 확인하고자 한다 본 연구는 구강(Oral Cavity) 내부조직을 샘플로, 건강한 사람 4명과 구강 암환자 4명의 자원을 받았다. 연구실에서 제작한 FastEEM(Excitation Emission Matrix) 장비를 이용하여 생체 내(in vivo)상태에서 측정하였다. 건강한 구강의 정상조직(Normal Tissue)과 병이 있는 구강의 비정상조직에서 기존의 생검과 동시에 새로운 광학적 생검을 하였다. 광학적 생검 결과와 기존의 생검 결과를 비교 확인하고, 암 조직으로 진단 받은 환자들에게 2차 광학적 생검을 실시하였다. 암 조직에 대한 1차 광학적 생검과 2차 측정 결과에 대한 형광스펙트럼을 비교 분석하였고, 자료분석은 Gillenwater가 개발한 337nm에 근거한 진단 알고리즘을 이용하였다. 광학적 생검 방법은 암 조직을 정상조직과 확실하게 구분시키는 장비임을 확인하였다. 건강한 구강조직과 악성 종양 조직의 측정 형광세기를 비교하면 정상조직인 경우 암 조직의 형광세기보다 모든 환자에 대해서 크게 나타났다. 암 조직의 구성이 시간에 따라 변하였을 때(7일) 광학적 생검을 하면 측정된 4명의 환자의 형광의 세기에 변화가 있었다. 7일간 시간이 지난 암 조직이 형광세기가 더 작은 값을 갖는다. 광학적 생검은 조직을 인체에서 분리하지 않는 생체 내, 실시간, 비침습성(noninvasive)생검 방법이다. 본 연구에서는 구강의 정상조직과, 암 조직, 그리고 암 조직의 진화에 따른 구성의 변화를 형광스펙트럼으로 확인하였다. 형광분광법을 이용한 FastEEM장치는 암 조직의 변화를 확인함으로 방사선 치료 후 발생하는 암 조직 구성의 화학적, 생물학적, 형태학적 변화를 실시간으로 정확하게 측정이 가능한 장치임을 확인하였다.

• 한국식물생명공학회:학술대회논문집
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• 한국식물생명공학회 2005년도 춘계학술대회 및 국제심포지움 초록집
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• pp.102-102
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• 2005

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2011년도 춘계학술대회 논문집
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• pp.1047-1048
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• 2011

• 인터넷정보학회논문지
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• 제7권3호
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• pp.31-39
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• 2006

유비쿼터스와 퍼베이시브 환경에서의 위치인지 기술은 자동차 내비게이션, 지능형 로봇, 대화형 가상 게임, 물류 서비스, 그리고 자산 추적 등 다양한 응용 기회를 제공해 주고 있다. 더욱이 위치 인식 정보뿐 아니라 객체 혹은 센서 노드 주변의 상황 정보까지도 전달하여 제한된 공간에서의 다양한 응용에 활용될 것으로 보인다. 그러나 위치 측정에 있어 환경적 요소와 측정 매체 등에 의해 간섭이라는 문제점을 갖는다. 특히 실내 좁은 공간에서 비컨 신호간의 간섭은 거리 측정의 심각한 오류뿐 아니라 더 나아가 위치 인식 시스템 전체 성능에도 영향을 미치게 된다. 이러한 간섭 문제점을 해결하기 위해 본 논문에서는 비컨의 초음파 및 RF 신호 세기를 각 노드 별로 차별화하는 방식인 EEM을 제안한다.

• Journal of Communications and Networks
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• 제17권6호
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• pp.634-646
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• 2015

Assuming perfect channel state information (CSI) at the transmitter and receiver, the optimization problem of maximizing the minimum Euclidean distance between two received signals by a linear precoder is considered for multiple-input multiple-output (MIMO) systems with arbitrary dimensions and arbitraryary quadrature amplitude modulation (QAM) input. A general precoding framework is first presented based on the Gram matrix, which is shown for 2-dimensional (2-D) and 3-dimensional (3-D) MIMO systems when employing the ellipse expanding method (EEM). An extended precoder for high-dimensional MIMO system is proposed following the precoding framework, where the Gram matrix for high-dimensional precoding matrix can be generated through those chosen from 2-D and 3-D results in association with a permutation matrix. A complexity-reduced maximum likelihood detector is also obtained according to the special structure of the proposed precoder. The analytical and numerical results indicate that the proposed precoder outperforms the other precoding schemes in terms of both minimum distance and bit error rate (BER).

• Structural Engineering and Mechanics
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• 제70권6호
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• pp.737-750
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• 2019

This paper investigates the static and dynamic behaviors of imperfect single walled carbon nanotube (SWCNT) modeled as a beam structure by using energy-equivalent model (EEM), for the first time. Based on EEM Young's modulus and Poisson's ratio for zigzag (n, 0), and armchair (n, n) carbon nanotubes (CNTs) are presented as functions of orientation and force constants. Nonlinear Euler-Bernoulli assumptions are proposed considering mid-plane stretching to exhibit a large deformation and a small strain. To simulate the interaction of CNTs with the surrounding elastic medium, nonlinear elastic foundation with cubic nonlinearity and shearing layer are employed. The equation governed the motion of curved CNTs is a nonlinear integropartial-differential equation. It is derived in terms of only the lateral displacement. The nonlinear integro-differential equation that governs the buckling of CNT is numerically solved using the differential integral quadrature method (DIQM) and Newton's method. The linear vibration problem around the static configurations is discretized using DIQM and then is solved as a linear eigenvalue problem. Numerical results are depicted to illustrate the influence of chirality angle and imperfection amplitude on static response, buckling load and dynamic behaviors of armchair and zigzag CNTs. Both, clamped-clamped (C-C) and simply supported (SS-SS) boundary conditions are examined. This model is helpful especially in mechanical design of NEMS manufactured from CNTs.

• 대한인간공학회지
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• 제36권3호
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• pp.183-196
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• 2017

Objective: The purpose of this research was to assess the agreement between job physical risk factor analysis by ergonomists using ergonomic methods and physical examinations made by occupational physicians on the presence of musculoskeletal disorders of the upper extremities. Background: Ergonomics is the systematic application of principles concerned with the design of devices and working conditions for enhancing human capabilities and optimizing working and living conditions. Proper ergonomic design is necessary to prevent injuries and physical and emotional stress. The major types of ergonomic injuries and incidents are cumulative trauma disorders (CTDs), acute strains, sprains, and system failures. Minimization of use of excessive force and awkward postures can help to prevent such injuries Method: Initial data were collected as part of a larger study by the University of Utah Ergonomics and Safety program field data collection teams and medical data collection teams from the Rocky Mountain Center for Occupational and Environmental Health (RMCOEH). Subjects included 173 male and female workers, 83 at Beehive Clothing (a clothing plant), 74 at Autoliv (a plant making air bags for vehicles), and 16 at Deseret Meat (a meat-processing plant). Posture and effort levels were analyzed using a software program developed at the University of Utah (Utah Ergonomic Analysis Tool). The Ergonomic Epicondylitis Model (EEM) was developed to assess the risk of epicondylitis from observable job physical factors. The model considers five job risk factors: (1) intensity of exertion, (2) forearm rotation, (3) wrist posture, (4) elbow compression, and (5) speed of work. Qualitative ratings of these physical factors were determined during video analysis. Personal variables were also investigated to study their relationship with epicondylitis. Logistic regression models were used to determine the association between risk factors and symptoms of epicondyle pain. Results: Results of this study indicate that gender, smoking status, and BMI do have an effect on the risk of epicondylitis but there is not a statistically significant relationship between EEM and epicondylitis. Conclusion: This research studied the relationship between an Ergonomic Epicondylitis Model (EEM) and the occurrence of epicondylitis. The model was not predictive for epicondylitis. However, it is clear that epicondylitis was associated with some individual risk factors such as smoking status, gender, and BMI. Based on the results, future research may discover risk factors that seem to increase the risk of epicondylitis. Application: Although this research used a combination of questionnaire, ergonomic job analysis, and medical job analysis to specifically verify risk factors related to epicondylitis, there are limitations. This research did not have a very large sample size because only 173 subjects were available for this study. Also, it was conducted in only 3 facilities, a plant making air bags for vehicles, a meat-processing plant, and a clothing plant in Utah. If working conditions in other kinds of facilities are considered, results may improve. Therefore, future research should perform analysis with additional subjects in different kinds of facilities. Repetition and duration of a task were not considered as risk factors in this research. These two factors could be associated with epicondylitis so it could be important to include these factors in future research. Psychosocial data and workplace conditions (e.g., low temperature) were also noted during data collection, and could be used to further study the prevalence of epicondylitis. Univariate analysis methods could be used for each variable of EEM. This research was performed using multivariate analysis. Therefore, it was difficult to recognize the different effect of each variable. Basically, the difference between univariate and multivariate analysis is that univariate analysis deals with one predictor variable at a time, whereas multivariate analysis deals with multiple predictor variables combined in a predetermined manner. The univariate analysis could show how each variable is associated with epicondyle pain. This may allow more appropriate weighting factors to be determined and therefore improve the performance of the EEM.