• Title/Summary/Keyword: performance improved

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Analysis of Photovoltaic Performance Improvement of Cu2Zn1-xCdxSn(SxSe1-x)4 Thin Film Solar Cells by Controlling Cd2+ Element Alloying Time Using CBD Method (CBD 공법을 이용하여 Cd2+ 원소 Alloying 시간을 조절한 Cu2Zn1-xCdxSn(SxSe1-x)4 박막 태양전지의 광전지 성능 향상 분석)

  • Sang Woo, Park;Suyoung, Jang;Jun Sung, Jang;Jin Hyeok, Kim
    • Korean Journal of Materials Research
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    • v.32 no.11
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    • pp.481-488
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    • 2022
  • The Cu2ZnSn(SxSe1-x)4 (CZTSSe) absorbers are promising thin film solar cells (TFSCs) materials, to replace existing Cu(In,Ga)Se2 (CIGS) and CdTe photovoltaic technology. However, the best reported efficiency for a CZTSSe device, of 13.6 %, is still too low for commercial use. Recently, partially replacing the Zn2+ element with a Cd2+element has attracting attention as one of the promising strategies for improving the photovoltaic characteristics of the CZTSSe TFSCs. Cd2+ elements are known to improve the grain size of the CZTSSe absorber thin films and improve optoelectronic properties by suppressing potential defects, causing short-circuit current (Jsc) loss. In this study, the structural, compositional, and morphological characteristics of CZTSSe and CZCTSSe thin films were investigated using X-ray diffraction (XRD), X-ray fluorescence spectrometer (XRF), and Field-emission scanning electron microscopy (FE-SEM), respectively. The FE-SEM images revealed that the grain size improved with increasing Cd2+ alloying in the CZTSSe thin films. Moreover, there was a slight decrease in small grain distribution as well as voids near the CZTSSe/Mo interface after Cd2+ alloying. The solar cells prepared using the most promising CZTSSe absorber thin films with Cd2+ alloying (8 min. 30 sec.) exhibited a power conversion efficiency (PCE) of 9.33 %, Jsc of 34.0 mA/cm2, and fill factor (FF) of 62.7 %, respectively.

Effects of β-Asarone on Pro-Inflammatory Cytokines and Learning and Memory Impairment in Lipopolysaccharide-Treated Mice (β-Asarone이 Lipopolysaccharide에 의한 생쥐 해마의 염증성 사이토카인 발현과 학습 및 기억 장애에 미치는 영향)

  • Choi, Moon-Sook;Kwak, Hee-Jun;Kweon, Ki-Jung;Hwang, Ji-Mo;Shin, Jung-Won;Sohn, Nak-Won
    • The Korea Journal of Herbology
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    • v.28 no.6
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    • pp.119-127
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    • 2013
  • Objectives : ${\beta}$-Asarone (BAS) is an active ingredient in Acori Rhizoma. This study investigated anti-neuroinflammatory and memory ameliorating effects of BAS in systemic lipopolysaccharide (LPS)-treated C57BL/6 mice. Methods : BAS was administered orally at doses of 7.5, 15, and 30 mg/kg for 3 days prior to LPS (3 mg/kg, intraperitoneal) injection. Pro-inflammatory cytokine mRNA, including tumor necrosis factor-${\alpha}$ (TNF-ㅍ), interleukin (IL)-$1{\beta}$ and IL-6, was measured in hippocampus tissue using real-time polymerase chain reaction at 4 h after the LPS injection. An ameliorating effect of 30 mg/kg BAS on learning and memory impairment in the LPS-treated mice was verified using the Morris water maze test. Results : BAS significantly attenuated up-regulation of TNF-${\alpha}$, IL-$1{\beta}$, and IL-6 mRNA in hippocampus tissue of the LPS-treated mice. In acquisition training test, BAS improved learning performance of the LPS-treated mice with a significant decrease of escape latency to the platform. In memory retention test, BAS also ameliorated memory impairment of the LPS-treated mice with a significant increase of swimming time in zones neighboring to the platform, number of target heading, and memory score. Conclusion : The results suggest that inhibition of pro-inflammatory cytokines and neuroinflammation in the hippocampus by BAS could be one of the mechanisms for BAS-mediated ameliorating effect on learning and memory impairment in LPS-treated mice.

Improved Anatomical Landmark Detection Using Attention Modules and Geometric Data Augmentation in X-ray Images (어텐션 모듈과 기하학적 데이터 증강을 통한 X-ray 영상 내 해부학적 랜드마크 검출 성능 향상)

  • Lee, Hyo-Jeong;Ma, Se-Rie;Choi, Jang-Hwan
    • Journal of the Korea Computer Graphics Society
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    • v.28 no.3
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    • pp.55-65
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    • 2022
  • Recently, deep learning-based automated systems for identifying and detecting landmarks have been proposed. In order to train such a deep learning-based model without overfitting, a large amount of image and labeling data is required. Conventionally, an experienced reader manually identifies and labels landmarks in a patient's image. However, such measurement is not only expensive, but also has poor reproducibility, so the need for an automated labeling method has been raised. In addition, in the X-ray image, since various human tissues on the path through which the photons pass are displayed, it is difficult to identify the landmark compared to a general natural image or a 3D image modality image. In this study, we propose a geometric data augmentation technique that enables the generation of a large amount of labeling data in X-ray images. In addition, the optimal attention mechanism for landmark detection was presented through the implementation and application of various attention techniques to improve the detection performance of 16 major landmarks in the skull. Finally, among the major cranial landmarks, markers that ensure stable detection are derived, and these markers are expected to have high clinical application potential.

An Improved Skyline Query Scheme for Recommending Real-Time User Preference Data Based on Big Data Preprocessing (빅데이터 전처리 기반의 실시간 사용자 선호 데이터 추천을 위한 개선된 스카이라인 질의 기법)

  • Kim, JiHyun;Kim, Jongwan
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.5
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    • pp.189-196
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    • 2022
  • Skyline query is a scheme for exploring objects that are suitable for user preferences based on multiple attributes of objects. Existing skyline queries return search results as batch processing, but the need for real-time search results has increased with the advent of interactive apps or mobile environments. Online algorithm for Skyline improves the return speed of objects to explore preferred objects in real time. However, the object navigation process requires unnecessary navigation time due to repeated comparative operations. This paper proposes a Pre-processing Online Algorithm for Skyline Query (POA) to eliminate unnecessary search time in Online Algorithm exploration techniques and provide the results of skyline queries in real time. Proposed techniques use the concept of range-limiting to existing Online Algorithm to perform pretreatment and then eliminate repetitive rediscovering regions first. POAs showed improvement in standard distributions, bias distributions, positive correlations, and negative correlations of discrete data sets compared to Online Algorithm. The POAs used in this paper improve navigation performance by minimizing comparison targets for Online Algorithm, which will be a new criterion for rapid service to users in the face of increasing use of mobile devices.

Immobilization Effect and Abdominal Pressure of Newly-Developed Lumbosacral Spinal Orthosis during Task Performance (새롭게 개발한 요천추 보조기의 과제 수행 중 척추의 고정효과와 복부압력)

  • Jeon, Kyung Soo;Yang, Hee Seung;Jang, Soo Woong;Shin, Hee Dong;Lee, Yun kyung;Lee, Young;Lee, Seul Bin Na;Ahn, Dong Young;Sim, Woo Sob;Cho, Min;Cho, Kyu Jik;Park, Dong Beom;Park, Kwan Soo
    • Clinical Pain
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    • v.19 no.2
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    • pp.70-79
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    • 2020
  • Objective: We evaluated the efficacy of a newly-developed spinal orthoses (V-LSO) by comparing the stabilizing effect, abdominal pressure, and comfort of 3 different semirigid LSOs (classic LSO, V-LSO, and Cybertech®) during various body movements. Method: Thirty healthy volunteers (23~47 years, 24 males, 6 females) were selected. A dual inclinometer measured the range of motion (ROM) while the participants performed flexion/extension and lateral flexion of the lumbar spine with 3 LSOs. The LSO's pressure on the abdominal surface was measured using 9 pressure sensors while lying, sitting, standing, flexion/extension, lateral flexion, axial rotation, and lifting a box. Comfort and subjective immobilization were analyzed by a questionnaire. Results: V-LSO had a statistically significant effect on flexion over Cybertech®. No significant differences were noted during extension and lateral flexion between the 3 LSOs. The abdominal pressure showed no significant differences while supine. While sitting, standing, and lifting a box, the mean abdominal pressure for V-LSO were significantly higher than those for Cybertech®. During lumbar flexion, the mean abdominal pressures for classic LSO and V-LSO were significantly higher than that of Cybertech®. For extension, lateral flexion and axial rotation, the abdominal pressure for V-LSO was significantly higher than those of classic LSO and Cybertech®. In the subjective analysis, V-LSO and Cybertech® scored best for comfort. Conclusion: The V-LSO and Cybertech® were more comfortable than the classic LSO, and hence, may have improved compliance with decreased discomfort. V-LSO may be superior to the other LSOs in restricting lumbar movement and increasing intraabdominal pressure.

Improved Estimation of Hourly Surface Ozone Concentrations using Stacking Ensemble-based Spatial Interpolation (스태킹 앙상블 모델을 이용한 시간별 지상 오존 공간내삽 정확도 향상)

  • KIM, Ye-Jin;KANG, Eun-Jin;CHO, Dong-Jin;LEE, Si-Woo;IM, Jung-Ho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.3
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    • pp.74-99
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    • 2022
  • Surface ozone is produced by photochemical reactions of nitrogen oxides(NOx) and volatile organic compounds(VOCs) emitted from vehicles and industrial sites, adversely affecting vegetation and the human body. In South Korea, ozone is monitored in real-time at stations(i.e., point measurements), but it is difficult to monitor and analyze its continuous spatial distribution. In this study, surface ozone concentrations were interpolated to have a spatial resolution of 1.5km every hour using the stacking ensemble technique, followed by a 5-fold cross-validation. Base models for the stacking ensemble were cokriging, multi-linear regression(MLR), random forest(RF), and support vector regression(SVR), while MLR was used as the meta model, having all base model results as additional input variables. The results showed that the stacking ensemble model yielded the better performance than the individual base models, resulting in an averaged R of 0.76 and RMSE of 0.0065ppm during the study period of 2020. The surface ozone concentration distribution generated by the stacking ensemble model had a wider range with a spatial pattern similar with terrain and urbanization variables, compared to those by the base models. Not only should the proposed model be capable of producing the hourly spatial distribution of ozone, but it should also be highly applicable for calculating the daily maximum 8-hour ozone concentrations.

Tuning Electrical Performances of Organic Charge Modulated Field-Effect Transistors Using Semiconductor/Dielectric Interfacial Controls (유기반도체와 절연체 계면제어를 통한 유기전하변조 트랜지스터의 전기적 특성 향상 연구)

  • Park, Eunyoung;Oh, Seungtaek;Lee, Hwa Sung
    • Journal of Adhesion and Interface
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    • v.23 no.2
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    • pp.53-58
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    • 2022
  • Here, the surface characteristics of the dielectric were controlled by introducing the self-assembled monolayers (SAMs) as the intermediate layers on the surface of the AlOx dielectric, and the electrical performances of the organic charge modulated transistor (OCMFET) were significantly improved. The organic intermediate layer was applied to control the surface energy of the AlOx gate dielectric acting as a capacitor plate between the control gate (CG) and the floating gate (FG). By applying the intermediate layers on the gate dielectric surface, and the field-effect mobility (μOCMFET) of the OCMFET devices could be efficiently controlled. We used the four kinds of SAM materials, octadecylphosphonic acid (ODPA), butylphosphonic acid (BPA), (3-bromopropyl)phosphonic acid (BPPA), and (3-aminopropyl)phosphonic acid (APPA), and each μOCMFET was measured at 0.73, 0.41, 0.34, and 0.15 cm2V-1s-1, respectively. The results could be suggested that the characteristics of each organic SAM intermediate layer, such as the length of the alkyl chain and the type of functionalized end-group, can control the electrical performances of OCMFET devices and be supported to find the optimized fabrication conditions, as an efficient sensing platform device.

Evaluation of Environmental Stability and Durability of Cementitious Mixed Soil (시멘트계 혼합토의 환경안정성 및 내구성 평가)

  • Oh, Sewook;Bae, Wooseok;Kim, Hongseok
    • Journal of the Korean GEO-environmental Society
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    • v.23 no.9
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    • pp.17-23
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    • 2022
  • Using cement as a road subbase is economical, easily modified and supplemented and has excellent road pavement quality control. In addition, cement adheres well to sandy soils without adhesion, and it plays a role of permanently preserving adhesion in viscous soils with adhesion, so it can be widely applied as stable treatment with the advantages of increased strength, reduced compressibility. and improved durability. However, while cement is excellent in terms of strength for a road subbase, the material properties mean that it is difficult to maintain and reinforce when cracks or fractures occur due to dry shrinkage, and the pH increases in the ground due to hexavalent chromium eluting from cement. which can cause environmental problems such as groundwater contamination. Therefore, this study evaluates the usability of alternatives in the road base layer such as environmentally cementitious stabilizer and on-site soil generated from the site. We intend to reduce the environmental damage and evaluate the durability. To evaluate the applicability of the site, Environmental stability test and freeze-thaw test and wetting-drying test was conducted to evaluate the strength characteristics of alternative materials on the road through the limited performance evaluation of environmentally cementitious stabilizer. The test ranges were set at mixing ratios of 10%, 20%, and 30% and ages of three days, and 28 days old to evaluate the early strength and reference strength according to the mixing ratio of the environmentally cementitious stabilizer.

Full-scale Shaking Table Test of Uninterruptible Power Supply Installed in 2-stories Steel Structure (2층 철골 구조물에 설치된 무정전전원장치의 실규모 진동대 실험연구)

  • Lee, Ji-Eon;Park, Won-Il;Choi, Kyoung-Kyu;Oh, Sang-Hoon;Park, Hoon-Yang
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.3
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    • pp.29-38
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    • 2022
  • In this study, the shaking table tests were carried out on six types of non-structural elements installed on a full-scale two-story steel structure. The shaking table tests were performed for non-structural elements with and without seismic isolators. In this study, the seismic performance of Uninterruptible Power Supply (UPS) specimens was tested and investigated. Non-seismic details were composed of conventional channel section steel beams, and the seismic isolators were composed of high damping rubber bearing (HDRB) and wire isolator. The input acceleration time histories were artificially generated to satisfy the requirements proposed by the ICC-ES AC156 code. Based on the test results, the damage and dynamic characteristics of the UPS with the seismic isolator were investigated in terms of the natural frequency, damping ratio, acceleration time history responses, dynamic amplification factors, and relative displacements. The results from the shaking table showed that the dynamic characteristics of the UPS including the acceleration response were significantly improved when using the seismic isolator.

Multi parameter optimization framework of an event-based rainfall-runoff model with the use of multiple rainfall events based on DDS algorithm (다중 강우사상을 반영한 DDS 알고리즘 기반 단일사상 강우-유출모형 매개변수 최적화 기법)

  • Yu, Jae-Ung;Oh, Se-Cheong;Lee, Baeg;Kwon, Hyun-Han
    • Journal of Korea Water Resources Association
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    • v.55 no.11
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    • pp.887-901
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    • 2022
  • Estimation of the parameters for individual rainfall-rainfall events can lead to a different set of parameters for each event which result in lack of parameter identifiability. Moreover, it becomes even more ambiguous to determine a representative set of parameters for the watershed due to enhanced variability exceeding the range of model parameters. To reduce the variability of estimated parameters, this study proposed a parameter optimization framework with the simultaneous use of multiple rainfall-runoff events based on NSE as an objective function. It was found that the proposed optimization framework could effectively estimate the representative set of parameters pertained to their physical range over the entire watershed. It is found that the difference in NSE value of optimization when it performed individual and multiple rainfall events, is 0.08. Furthermore, In terms of estimating the observed floods, the representative parameters showed a more improved (or similar) performance compared to the results obtained from the single-event optimization process on an NSE basis.