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Fingertip Force and Muscle Activation Patterns at Varying grasp Objects
Suji Park(Suji Park),Juhyun Park(Juhyun Park),Seyeon Oh(Seyeon Oh),Chaeyeon Heo(Chaeyeon Heo),Sieun Ho(Sieun Ho),Seonhong Hwang(Seonhong Hwang) 호서대학교 기초과학연구소 2022 기초과학연구 논문집 Vol.30 No.1
In this study, we tried to collect and analyze the kinetic and neurological information such as finger-tip forces and EMG for several representative (the most commonly used) grasp movements to explore their force and muscle activation patterns based on the newly defined grasp taxonomy. Ten able-bodied (five males, five females) volunteered to participate and they performed five different grasp tasks: holding a bottle (Bottle), turning a doorknob (Knob), cutting with a knife (Knife), brushing with a toothbrush (Toothbrush), holding a thick book (Book) after we attached five force sensitive resistor (FSR) sensors on the tip of fingers and four surface electromyogram (sEMG) electrodes on the lower arm of the subject’s dominant hand. Root Mean Square (RMS) and Mean Absolute Value (MAV) from the mean maximum values of sEMG(%) and fingertip force(kgf) of all ten subjects were extracted as features. The classification from the feature dataset using convolutional neural network (CNN) was applied and analyzed the results of accuracy and repeatability. The mean maximum values of EMG and fingertip forces during five different grasp tasks, and the MAV and RMS which were extracted features from the above were compared with task pairs. They showed significant differences in comparison of four pairs of tasks which were Bottle and Knife (p = 0.005 in both MAV and RMS), Bottle and Toothbrush (p = 0.005in both MAV and RMS), Bottle and Book (p = 0.013 in both MAV and RMS), Knob and Toothbrush (p = 0.047 in MAV and p = 0.028 in RMS). The classification accuracy of the Bottle grasp task was the largest at 60% (true positive predictive rate is 60% and false postive rate is 40%), while the other tasks showed an 30-40% of accuracy. Repeatability was 60% in the Bottle task and 50% in the Knob task, and those of the other tasks were ranged 30-40%. Overall, it is believed that the small number of samples in the study is the main reason of the low accuracy and repeatability of the classification. A total of nine variables (four sEMG and five forces) showed different significances in paired mean comparisons for five grasp tasks (graspping a bottle, turning a doorknob, cutting with a knife, brushing teeth with a toothbrush, holding a thick book). A comparison of the reduced variable from feature extraction also showed different classification accuracy for five grasp tasks.
Inflammatory Markers and Brain Volume in Patients with Post-traumatic Stress Disorder
Chaeyeon Yang(Chaeyeon Yang),Kang-Min Choi(Kang-Min Choi),Jungwon Han(Jungwon Han),Hyang Sook Kim(Hyang Sook Kim),Sang-Shin Park(Sang-Shin Park),Seung-Hwan Lee(Seung-Hwan Lee) 대한정신약물학회 2023 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.21 No.2
Objective: Posttraumatic stress disorder (PTSD) is characterized by increased inflammatory processing and altered brain volume. In this study, we investigated the relationship between inflammatory markers and brain volume in patients with PTSD. Methods: Forty-five patients with PTSD, and 70 healthy controls (HC) completed clinical assessments and self-reported psychopathology scales. Factors associated with inflammatory responses including brain-derived neurotrophic factor and four inflammatory biomarkers (C-reactive protein, cortisol, Interleukin-6, and homocysteine) and T1-magnetic resonance imaging of the brain were measured. Results: In the PTSD group, cortisol level was significantly lower (t = 2.438, p = 0.046) than that of the HC. Cortisol level was significantly negatively correlated with the left thalamus proper (r = −0.369, p = 0.035), right thalamus proper (r = −0.394, p = 0.014), right frontal pole (r = −0.348, p = 0.039), left occipital pole (r = −0.338, p = 0.044), and right superior occipital gyrus (r = −0.397, p = 0.008) in patients with PTSD. However, these significant correlations were not observed in HC. Conclusion: Our results indicate that increased cortisol level, even though its average level was lower than that of HC, is associated with smaller volumes of the thalamus, right frontal pole, left occipital pole, and right superior occipital gyrus in patients with PTSD. Cortisol, a major stress hormone, might be a reliable biomarker to brain volumes and pathophysiological pathways in patients with PTSD.
박채연 ( Chaeyeon Park ),박이지 ( Yiji Park ),김경민 ( Gyungmin Kim ),서채연 ( Chaeyeon Seo ),한결아 ( Gyeol-a Han ) 한국정보처리학회 2023 한국정보처리학회 학술대회논문집 Vol.30 No.2
클라우드 네이티브(Cloud Native) 환경인 쿠버네티스(Kubernetes)에서 컨테이너(Container)는 가볍고 배포 주기가 빠르기 때문에, 쿠버네티스에서 상태를 지속적으로 모니터링하는 시스템이 필요하다. 쿠버네티스는 파드(Pod)를 기본 단위로하여 다수의 컨테이너를 관리·감독한다. 쿠버네티스 모니터링을 위해 프로메테우스는 주기적으로 메트릭을 수집하며 많은 양의 정보를 빠르게 검색한다. 이를 활용하여 쿠버네티스를 모니터링 한다.
박채연 ( Chaeyeon Park ) 한국리스크관리학회 2023 리스크 管理硏究 Vol.34 No.2
기후변화로 인해서 폭염의 강도와 빈도가 증가할 것으로 예측되고 있다. 폭염의 증가는 여러 분야에서 리스크 및 손실을 증가시킬 것이며, 그중에서도 노동자의 열 스트레스를 높여 작업역량을 낮출 것으로 예측된다. 열 스트레스 지표 중 하나인 WBGT(Web Bulb Globe Temperature)는 작업역량 및 노동생산성과 연관이 있다. 기존의 연구에서는 일 평균 WBGT를 구하여 평균적인 노동력 손실을 예측해왔다. 하지만 본 연구에서는 시간별 WBGT를 구해 더욱 정확한 노동력 손실을 예측하고, 작업 시간 변화에 따른 적응 효과를 확인하였다. 서울시를 대상으로 두 가지 기후변화 시나리오에 따라 여름철 총 노동시간을 예측한 결과, 기후변화에 따라 2050년도에는 노동시간이 총 82―354 백만 시간 저감 되고 2080년도에는 171―1,169 백만 시간이 저감 되었다. 기후변화 완화 수준에 따른 차이가 컸으며, 이 차이는 먼 미래가 될수록 증가했다. 작업 시간을 기존보다 2시간 이른 시간으로 바꾼다면, 위와 같은 손실이 70∼80% 수준으로 감소 될 수 있었다. 기후변화로 인한 노동력 손실을 정확히 예측한다면 노동력 손실이 가져오는 추가적인 생산 손실액을 확인하는 데 도움을 줄 수 있으며, 적응대책 및 기후보험 등과 같은 기후변화 대책에 도움이 될 수 있을 것이다. Climate change is increasing the intensity and frequency of heatwaves, leading to escalated economic losses and risks to human life. Among these risks, reduced working capacity due to increased heat stress on laborers is a significant concern. The Wet Bulb Globe Temperature (WBGT), a heat stress indicator, is closely associated with work capacity and labor productivity. While previous studies have focused on estimating the average daily WBGT to predict overall labor productivity loss, this study advances the field by estimating hourly WBGT to predict future labor productivity in Seoul, Korea. This advancement enables more accurate projection of labor productivity and assessment of the benefits associated with an adaptation strategy involving the shifting of working hours. Our findings reveal that total working hours in Seoul are projected to decrease to a range of 82― 354 million hours in the 2050s and 171―1,169 million hours in the 2080s. The difference varied depending on the level of climate change mitigation, with larger differences observed as we look further into the future. By shifting working hours two hours earlier, it is possible to reduce the total loss to 70―80% of the projected level. Projecting hourly labor loss due to climate change facilitates the identification of additional production losses resulting from labor capacity reduction. This information is instrumental in establishing effective climate change measures, including adaptation strategies and climate insurance.
Soowung Park,Chaeyeon Son,Seokwoo Kang,Seungmin Baek,YONGJINKIM,O-Pil Kwon,Jongwook Park,Sang-Wook Kim 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.88 No.-
Highly efficient blue-emitting halide-passivated QDs with the emission of 445 450 nm were developed. First, we prepared large ZnSe QDs and evaluated their wavelength, but 440 nm was the upper limit. Then,ZnSe1-xTex QDs were synthesized, and thus 410 nm emission was achieved. To improve the quantum yield(QY) and obtain a red-shifted wavelength, repeated ZnSe shell coating, ZnS coating, and halidepassivation were conducted. The optimum were ZnSe1-xTex/ZnSe/ZnS QDs with 5% or 2% Te. Thefinal QDswith 5% Te have a higher QY of 81% and the performance of the deep-blue QLEDs (turn-on voltage: 5.13 V,maximum luminance: 3200 cd/m2, maximum current efficiency: 2.73 cd/A, and maximum EQE: 4.06%,CIE: (0.151, 0.056)); however, a long emission tail due to the surface trap will hinder practical application. The QDs with 2% Te have a good emission profile and FWHM of 16 nm, but their QY is slightly lower.
박채연(Park Chaeyeon),이민상(Lee Minsang),이민혁(Lee Minhyeok),최현성(Choi Hyeonseong) 한국정보기술학회 2022 Proceedings of KIIT Conference Vol.2022 No.12
사용자의 콘텐츠 선택에는 많은 시간이 소요된다. 추천시스템 알고리즘은 사용자에게 다양한 콘텐츠를 추천하여 콘텐츠 선택의 시간을 단축한다. 딥러닝을 활용한 협업 필터링 기반의 추천시스템인 Self-Attentive Sequential Recommendation과 Neural Collaborative Filtering 알고리즘을 사용하여 영화 추천시스템을 구축하고 성능을 비교하고자 한다. It takes a lot of time for the user to select content. The recommendation system algorithm shortens the time to select content by recommending various contents to the user. Using Self-Attractive Sequential Recommendation and Neural Collaborative Filtering algorithm, a collaborative filtering-based recommendation system using deep learning, we intend to build a movie recommendation system and compare its performance.