• 인지과학
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• 제16권3호
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• pp.189-197
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• 2005

본 연구에서는 $40\%$ 농도의 산소 공급에 따른 2·bark 과제 수행 능력, 혈중 산소 포화도, 심박동율의 변화를 관찰하고자 한다. 1명의 남자 (평균 $25.8\pm1.3$세)와 5명의 여자 (평균 $23.0\pm1.0$세) 대학생을 대상으로 두 가지 농도의 산소$(21\%,\;40\%)$를 공급하면서 2-back 과제를 수행하게 하였다. Rest1 (1분), 0-back Task (1분), 2-back Task (2분), Rest2 (4분)의 네 단계의 순서로 실험이 진행되었고, 전 단계에서 혈중 산소 포화도와 심박동율의 생리 신호가 측정되었다. $21\%$에 비해 $40\%$ 산소 농도에서 평균 정답률이 유의하게 증가하여, 고농도 산소 공급이 2-back 과제 수행 능력에 긍정적인 영향을 미친다는 사실을 도출할 수 있었다. $21\%$에 비해 $40\%$의 산소가 주어질 때 혈중 산소 포화도는 증가하였고 심박동율은 감소하였다. 이것은 인지 처리 수행 시 $21\%$에 비해 $40\%$의 산소 공급이 실제 혈중 산소 농도를 증가시켜 인지처리에 따른 뇌 활성화를 촉진시킬 수 있다는 사실을 의미하고, 공급된 과산소에 의해 심박동율이 감소한다는 사실을 의미하는 것이다.

• 감성과학
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• 제12권4호
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• pp.373-380
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• 2009

본 연구에서는 세 단계의 각성 수준이 3-back 과제 수행능력에 어떠한 영향을 미치는지 관찰하고자 하였다. 10명의 남자(평균 $25.7{\pm}1.5$세) 대학생과 10명의 여자(평균 $24.5{\pm}1.8$세) 대학생이 본 실험에 참여하였다. 집단검사를 통해 추출된 사진을 이용하여 세 단계의 각성 수준 즉, 긴장, 중립, 이완감성을 유발하였다. 모든 피험자는 각 각성 수준에 대해 한 번씩, 총 3번의 실험에 참여하였다. 안정1(2분), 각성유발사진제시1(2분), 3-back 과 제1(2분), 각성유발사진제시2(2분), 3-back 과제2(2분), 안정2(2분)의 6단계로 실험이 진행되었고, 전 단계에서 피부전도수준(skin conductance level: SCL)도 함께 측정하였다. 3-back 과제의 정답률은 중립 조건일 때 가장컸고, 이완, 긴장 조건 순서였다. 반응시간은 세 조건 간의 차이가 나타나지 않았다. 모든 구간에서 측정된 피부전도수준은 긴장 조건일 때 가장 컸고, 중립, 이완 순서로 나타남으로써, 사용된 각성유발사진이 적절한 각성수준을 유발하였음을 확인하였다. 본 연구결과로부터 인지 처리와 무관하게 유발된 긴장도의 증가나 감소는 과제 수행능력을 감소시킬 수 있다는 사실을 유추할 수 있다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2009년도 춘계학술대회
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• pp.75-78
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• 2009

본 연구에서는 세 가지의 각성상태(긴장, 중립, 이완감정)가 3-back 과제 수행능력에 어떠한 영향을 미치는지 관찰하고자 한다. 10명의 남자 (평균 $25.7{\pm}1.5$ 세) 대학생과 10명의 여자 (평균 $24.5{\pm}1.8$ 세) 대학생이 본 실험에 참여하였다. 집단 검사를 통해 추출된 사진을 이용하여 긴장, 중립, 이완의 세 종류의 각성상태를 유발하여 3-back 과제 수행 능력 측정 실험을 수행하였다. Rest 1 (2분), 감성유발사진제시 1 (2분), 3-back Task 1 (2분), 감성유발사진제시 2 (2분), 3-back Task2 (2분), Rest2 (2분)의 5단계로 실험이 진행되었다. 또한 제시된 감정 사진으로 적절한 arousal level 이 유발되었는지를 확인하기 위해 GSR 신호를 측정하였고, 실험 종료 후 주관적 평가를 실시하였다. 3-back 과제의 정답률은 중립감정일 때 가장 컸고, 이완, 긴장 감정 순서였다. 또한 통계적으로 유의하지는 않았지만 중립감정일 때 반응시간이 가장 빠른 경향을 보였다. 본 연구결과로부터 인지 처리와 무관하게 유발된 각성의 증가나 감소는 과제 수행능력을 감소시킬 수 있다는 사실을 유추할 수 있다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2012년도 춘계학술대회
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• pp.105-106
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• 2012

• 대한의용생체공학회:의공학회지
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• 제43권1호
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• pp.52-60
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• 2022

Purpose: For now, cognitive load is assessed based on survey-based methods, which can be difficult to track the amount of cognitive load in real-time. In this study, we investigated the difference in electrophysiological activation due to different levels of cognitive load not only at sensor-level but also at source-level using electroencephalogram that might be potentially used for quantitative cognitive load evaluation. Materials and Methods: In this study, ten healthy subjects (mean age 24.3 ± 2.1, three female) participated the experiment. All participants performed 4 sessions of n-back task in different difficulties: 0-, 1-, 2-, and 3-back during electroencephalogram recording. For sensor-level analysis, we calculated the event-related potential and event-related spectral perturbation while low resolution brain electromagnetic tomography (LORETA) to estimate the source activation. Each result was compared between different workload conditions using statistical analysis. Results: Statistical results revealed that the accuracy of the task performance was significantly different between different cognitive loads (p = 0.018). The post-hoc analysis confirmed that the accuracy of the 3-back task was significantly decreased compared to 1-back condition (p = 0.018), but not with 2-back condition (p = 0.180). ERP results showed that P300 target amplitude between 1-back and 3-back had a marginal difference in Cz (p = 0.059) and Pz(p = 0.093). A significant inhibition in Cz high-beta activation (p = 0.017) and decrease in source activation of right parahippocampal gyrus was found in 3-back condition compared to 1-back condition (p < 0.05). Conclusion: In this study, we compared the sensor- and source-level differences in electroencephalogram between different levels of cognitive load, that were found to be in line with the previous reports related to cognitive load evaluation. We expect that the outcome of the current study can be used as a feature to establish a quantitative cognitive load assessment system.

• 한국산업보건학회지
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• 제18권3호
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• pp.239-247
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• 2008

Low back disorders (LBDs) have been the most common musculoskeletal problem in Korean workplaces. It affects many workers, and is associated with high costs to many companies as well as the individual, which can negatively influence even the quality of life of workers. The _evaluation of low back disorder risk associated with manual materials handling tasks can be performed using variety of ergonomic assessment tools such as National Institute for Occupational Safety and Health (NIOSH) Revised Lifting Equation (NLE), the Washington Administrative Code 296-62-0517 (WAC), the Snook Tables etc. But most of these tools provide limited information for choosing the most appropriate assessment method for a particular job and in finding out advantage and disadvantage of the methods, and few have been assessed for their predictive ability. The focus of this study was to _evaluate spinal loads in real time with lifting and pulling heavy cow leathers in variety of postures. Data for estimating mean trunk motions were collected as employees did their work at the job site, using the Lumbar Motion Monitor. Eight employees (2 males, 6 females) were selected in this study, in which the load weight and the vertical start and destination heights of the activity remained constant throughout the task. Variance components (three dimensional spaces) of mean trunk kinematic measures were estimated in a hierarchical design. They were used to compute velocity and acceleration of multiple employees performing the same task and to repetitive movements within a task. Therefore, a results of this study could be used as a quantitative, objective measure to design the workplace so that the risk of occupationally related low back disorder should be minimized.

• 한국차세대컴퓨팅학회논문지
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• 제15권4호
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• pp.18-29
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• 2019

동적 적응 스트리밍 서버는 일시에 많은 양의 트랜스코딩 연산을 처리하기 때문에 높은 프로세서 전력을 소모한다. 많은 연산량을 위하여 다중 프로세서 구조가 필요하고, 이에 대한 효과적인 트랜스코딩 태스크 분배가 필요하다. 본 논문에서는 2 티어 (프론트엔드 노드 (frontend node)와 백엔드 노드 (backend node)) 트랜스코딩 서버의 전력 상한을 보장하고 스트리밍 되는 비디오의 인기도 및 품질을 고려한 트랜스코딩 서버의 설계 및 구현 방법을 제안한다. 이를 위하여 1) 각 백엔드 노드에 트랜스코딩 태스크 분배, 2) 백엔드 노드에서의 태스크 스케줄링, 3) 프론트엔드와 백엔드 노드 통신 기법들을 구현하고, 테스트베드를 구축하였다. 실제 테스트베드에서의 예상 소모 전력과 실제 소모 전력을 비교하는 실험을 진행함으로써 본 시스템의 효용성을 확인했다. 또한 본 시스템이 각 노드의 부하를 감소시킴으로써 트랜스코딩에 사용되는 전력 및 시간 최적화가 가능함을 보였다.

• 대한의용생체공학회:의공학회지
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• 제27권6호
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• pp.323-331
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• 2006

The purpose of this study was to investigate the effect of performing a cognitive task during treadmill walking on the stride rate variability. Ten university students(age $24.0{\pm}0.25$, height $172{\pm}3.1cm$, weight $66{\pm}5.3kg$) were participated in dual task experiments which consist of both walking alone and walking with a cognitive task. Two-back task was selected for the cognitive task since it did not have learning effect during the experimental procedure.3D motion analysis system was used to measure subject's position data by changing walking speed with 4.8, 5.6, 6.4, 6.8, and 7.2 km/hr. Stride rate was calculated by the time between heel contact and heel contact. Accuracy rate of a cognitive task during walking, coefficient of variance, allometric scaling methods and Fano factor were used to estimated the stride rate variability. As the walking speed increased, accuracy rate decreased and the logarithmic value of Fano factor increased which showed the statistical difference. Thus it can be concluded that the gait control mechanism is distracted by the secondary attention focus which is the cognitive task ie. two-back task. Further study is needed to clarify this by increasing the number of subject and experiment time.

• Safety and Health at Work
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• 제2권3호
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• pp.236-242
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• 2011

Objectives: To determine the feasibility of predicting static and dynamic peak back-compressive forces based on (1) static back compressive force values at the lift origin and destination and (2) lifting speed. Methods: Ten male subjects performed symmetric mid-sagittal floor-to-shoulder, floor-to-waist, and waist-to-shoulder lifts at three different speeds (slow, medium, and fast), and with two different loads (light and heavy). Two-dimensional kinematics and kinetics were captured. Linear regression analyses were used to develop prediction equations, the amount of predictability, and significance for static and dynamic peak back-compressive forces based on a static origin and destination average (SODA) backcompressive force. Results: Static and dynamic peak back-compressive forces were highly predicted by the SODA, with R2 values ranging from 0.830 to 0.947. Slopes were significantly different between slow and fast lifting speeds (p < 0.05) for the dynamic peak prediction equations. The slope of the regression line for static prediction was significantly greater than one with a significant positive intercept value. Conclusion: SODA under-predict both static and dynamic peak back-compressive force values. Peak values are highly predictable and could be readily determined using back-compressive force assessments at the origin and destination of a lifting task. This could be valuable for enhancing job design and analysis in the workplace and for large-scale studies where a full analysis of each lifting task is not feasible.

• 디지털산업정보학회논문지
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• 제16권1호
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• pp.11-19
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• 2020

IoT has been consistently used in various fields such as smart home, wearables, and healthcare. Since IoT devices are small terminals, relatively simple wireless communication protocols such as IEEE 802.15.4 and ISO 18000 series are used. In this paper, we designed the 802.15.4q 2.4 GHz TASK physical layer. Physical protocol data unit of TASK supports bit-level interleaving and shortened BCH encoding. It is spread by unique ternary sequences. There are four spreading factors to choose the data rate according to the communication channel environment. The TASK physical layer was designed using verilog-HDL and verified through the loop-back test of the transceiver. The designed TASK physical layer was implemented in a fpga and tested using MAXIM RFICs. The PER was about 0% at 10 dB SNR. It is expected to be used in small, low power IoT applications.