• Title/Summary/Keyword: particle number

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야자계 활성탄을 활용한 폼 복합체의 미세기공 구조특성 (Characteristics of Micro-pore Structure of Foam Composite using Palm-based Activated Carbon)

  • 최영철;유성원
    • 한국구조물진단유지관리공학회 논문집
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    • 제25권5호
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    • pp.157-164
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    • 2021
  • 최근 미세먼지와 관련된 환경문제를 개선하기 위해 유해물질을 제거할 수 있는 광촉매와 흡착제에 대한 연구가 활발히 진행되고 있다. 본 연구에서는 전체 공극량이 일반 건설재료에 비해 상당히 큰 폼 콘크리트에 다량의 마이크로 공극를 갖는 야자계 활성탄소를 이용해서 다공성 폼 복합체를 제작하였다. 미세먼지 흡착 가능성을 평가하기 위해 제작된 폼 복합체에 대해 공극 구조를 분석하였다. 폼 복합체의 공극구조 분석은 측정된 질소 흡착등온선으로부터 BET와 Harkins-jura이론을 적용하였다. 분석결과 활성탄소를 혼입한 폼 복합체의 비표면적과 마이크로 공극 부피가 Plain보다 크게 증가하였다. 활성탄소 혼입율이 증가할수록 폼 복합체의 비표면적과 마이크로 공극 부피가 증가하는 경향을 나타냈다. 이는 폼 복합체가 가스상의 미세먼지 전구물질 NOX에 대한 흡착성능이 높을 것으로 보인다.

태양광 폐실리콘 웨이퍼 회수 실리콘을 활용한 탄화규소 분말 합성 (Synthesis of Silicon Carbide Powder Using Recovered Silicon from Solar Waste Silicon Wafer)

  • 이윤주;권오규;선주형;장근용;최준철;권우택
    • 자원리싸이클링
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    • 제31권5호
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    • pp.52-58
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    • 2022
  • 태양광 폐실리콘 웨이퍼에서 회수한 실리콘과 카본블랙을 활용하여 탄화규소 분말을 제조하였다. 태양광 발전시장에서 결정질 실리콘 모듈이 90% 이상을 차지한다. 태양광 모듈의 사용기한이 도래함에 따라 환경과 경제적인 측면에서 실리콘을 회수하고 활용하는 기술은 매우 중요하다. 본 연구에서는 태양광 폐패널에서 회수한 실리콘을 탄화규소 원료로 활용하기 위하여, 순도 95.74% 폐실리콘 웨이퍼로부터 정제과정을 거쳐 99.99% 실리콘 분말을 회수하였다. 탄화규소 분말 합성특성을 살펴보기 위하여, 정제된 99.99% 실리콘 분말과 탄소분말을 혼합한 후, Ar 분위기에서 열처리(1,300℃, 1,400℃, 1,500℃)과정을 수행하였다. 실리콘과 탄화규소 분말의 특성을 입도분포, XRD, SEM, ICP, FT-IR 및 Raman 분석기를 사용하여 분석하였다.

An optimized deployment strategy of smart smoke sensors in a large space

  • Liu, Pingshan;Fang, Junli;Huang, Hongjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권11호
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    • pp.3544-3564
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    • 2022
  • With the development of the NB-IoT (Narrow band Internet of Things) and smart cities, coupled with the emergence of smart smoke sensors, new requirements and issues have been introduced to study on the deployment of sensors in large spaces. Previous research mainly focuses on the optimization of wireless sensors in some monitoring environments, including three-dimensional terrain or underwater space. There are relatively few studies on the optimization deployment problem of smart smoke sensors, and leaving large spaces with obstacles such as libraries out of consideration. This paper mainly studies the deployment issue of smart smoke sensors in large spaces by considering the fire probability of fire areas and the obstacles in a monitoring area. To cope with the problems of coverage blind areas and coverage redundancy when sensors are deployed randomly in large spaces, we proposed an optimized deployment strategy of smart smoke sensors based on the PSO (Particle Swarm Optimization) algorithm. The deployment problem is transformed into a multi-objective optimization problem with many constraints of fire probability and barriers, while minimizing the deployment cost and maximizing the coverage accuracy. In this regard, we describe the structure model in large space and a coverage model firstly, then a mathematical model containing two objective functions is established. Finally, a deployment strategy based on PSO algorithm is designed, and the performance of the deployment strategy is verified by a number of simulation experiments. The obtained experimental and numerical results demonstrates that our proposed strategy can obtain better performance than uniform deployment strategies in terms of all the objectives concerned, further demonstrates the effectiveness of our strategy. Additionally, the strategy we proposed also provides theoretical guidance and a practical basis for fire emergency management and other departments to better deploy smart smoke sensors in a large space.

Synthesis, Characterization and Cosmetic Application of Self-Assembled Sericin-PEG Nanoparticle

  • E. S. Choung;S. Y. Eom;Kim, J. H.;Kim, K. S.;Kim, K. H.;Lee, K. G.;Lee, Y. W.;C. S. Cho
    • 대한화장품학회:학술대회논문집
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    • 대한화장품학회 2003년도 IFSCC Conference Proceeding Book I
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    • pp.501-519
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    • 2003
  • Silk Sericin(SS) is a natural protein extracted from cocoon of bombix mori and shows moisturizing effect to the skin due to a number of hydroxyl groups in the structure. But its application to cosmetics is limited due to its poor solubility in water. In order to solve this drawback and expand its application to cosmetics, polyethyleneglycol(PEG) was conjugated with sericin by reacting activated polyethyleneglycol(ActPEG). Reaction site of sericin is tyrosine residue, which was determined by using $^1$H-NMR. Random coil structure of sericin was transformed to beta-sheet structure by conjugating polyethyleneglycol. It was confirmed that melting point of sericin-PEG conjugate was lowered compared to that of each sericin and PEG due to the interaction between sericin and PEG in crystalline structure. Self-assembled sericin-PEG nanoparticle was obtained by dialyzing with alcohol solution of sericin-PEG conjugate against water. The particle is spherical and has 200-400nm of size. The moisturizing ability of sericin-PEG nanoparticle was much higher than that of sericin itself. Incorporation of vitamin A into sericin-PEG nanoparticle was carried out by diafiltration method. The content of incorporated Vitamin A in sericin-PEG nanoparticle was 8.9 wt%. Releasing behaviour of vitamin A incorporated into nanoparticle was tested in phosphate buffer, pH 7.4 at 37$^{\circ}C$. and half-life of Vitamin A release was 43hrs. Sericin-PEG nanoparticle exhibited higher moisturing effect than sericin itself and distilled water, respectively. No toxicity and irritation were observed in animal tests. It can be expected that the self-assembled sericin-PEG nanoparticle can be developed for cosmetics.

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Evaluation of Radiological Effects on the Aptamers to Remove Ionic Radionuclides in the Liquid Radioactive Waste

  • Minhye Lee;Gilyong Cha;Dongki Kim;Miyong Yun;Daehyuk Jang;Sunyoung Lee;Song Hyun Kim;Hyuncheol Kim;Soonyoung Kim
    • Journal of Radiation Protection and Research
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    • 제48권1호
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    • pp.44-51
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    • 2023
  • Background: Aptamers are currently being used in various fields including medical treatments due to their characteristics of selectively binding to specific molecules. Due to their special characteristics, the aptamers are expected to be used to remove radionuclides from a large amount of liquid radioactive waste generated during the decommissioning of nuclear power plants. The radiological effects on the aptamers should be evaluated to ensure their integrity for the application of a radionuclide removal technique. Materials and Methods: In this study, Monte Carlo N-Particle transport code version 6 (MCNP6) and Monte Carlo damage simulation (MCDS) codes were employed to evaluate the radiological effects on the aptamers. MCNP6 was used to evaluate the secondary electron spectrum and the absorbed dose in a medium. MCDS was used to calculate the DNA damage by using the secondary electron spectrum and the absorbed dose. Binding experiments were conducted to indirectly verify the results derived by MCNP6 and MCDS calculations. Results and Discussion: Damage yields of about 5.00×10-4 were calculated for 100 bp aptamer due to the radiation dose of 1 Gy. In experiments with radioactive materials, the results that the removal rate of the radioactive 60Co by the aptamer is the same with the non-radioactive 59Co prove the accuracy of the previous DNA damage calculation. Conclusion: The evaluation results suggest that only very small fraction of significant number of the aptamers will be damaged by the radioactive materials in the liquid radioactive waste.

Ensemble deep learning-based models to predict the resilient modulus of modified base materials subjected to wet-dry cycles

  • Mahzad Esmaeili-Falak;Reza Sarkhani Benemaran
    • Geomechanics and Engineering
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    • 제32권6호
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    • pp.583-600
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    • 2023
  • The resilient modulus (MR) of various pavement materials plays a significant role in the pavement design by a mechanistic-empirical method. The MR determination is done by experimental tests that need time and money, along with special experimental tools. The present paper suggested a novel hybridized extreme gradient boosting (XGB) structure for forecasting the MR of modified base materials subject to wet-dry cycles. The models were created by various combinations of input variables called deep learning. Input variables consist of the number of W-D cycles (WDC), the ratio of free lime to SAF (CSAFR), the ratio of maximum dry density to the optimum moisture content (DMR), confining pressure (σ3), and deviatoric stress (σd). Two XGB structures were produced for the estimation aims, where determinative variables were optimized by particle swarm optimization (PSO) and black widow optimization algorithm (BWOA). According to the results' description and outputs of Taylor diagram, M1 model with the combination of WDC, CSAFR, DMR, σ3, and σd is recognized as the most suitable model, with R2 and RMSE values of BWOA-XGB for model M1 equal to 0.9991 and 55.19 MPa, respectively. Interestingly, the lowest value of RMSE for literature was at 116.94 MPa, while this study could gain the extremely lower RMSE owned by BWOA-XGB model at 55.198 MPa. At last, the explanations indicate the BWO algorithm's capability in determining the optimal value of XGB determinative parameters in MR prediction procedure.

A Study of Double Dark Photons Produced by Lepton Colliders using High Performance Computing

  • Park, Kihong;Kim, Kyungho;Cho, Kihyeon
    • Journal of Astronomy and Space Sciences
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    • 제39권1호
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    • pp.1-10
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    • 2022
  • The universe is thought to be filled with not only Standard Model (SM) matters but also dark matters. Dark matter is thought to play a major role in its construction. However, the identity of dark matter is as yet unknown, with various search methods from astrophysical observartion to particle collider experiments. Because of the cross-section that is a thousand times smaller than SM particles, dark matter research requires a large amount of data processing. Therefore, optimization and parallelization in High Performance Computing is required. Dark matter in hypothetical hidden sector is though to be connected to dark photons which carries forces similar to photons in electromagnetism. In the recent analysis, it was studied using the decays of a dark photon at collider experiments. Based on this, we studies double dark photon decays at lepton colliders. The signal channels are e+e- → A'A' and e+e- → A'A'γ where dark photon A' decays dimuon. These signal channels are based on the theory that dark photons only decay into heavily charged leptons, which can explain the muon magnetic momentum anomaly. We scanned the cross-section according to the dark photon mass in experiments. MadGraph5 was used to generate events based on a simplified model. Additionally, to get the maximum expected number of events for the double dark photon channel, the detector efficiency for several center of mass (CM) energy were studied using Delphes and MadAnalysis5 for performance comparison. The results of this study will contribute to the search for double dark photon channels at lepton colliders.

A Disk-based Archival Storage System Using the EOS Erasure Coding Implementation for the ALICE Experiment at the CERN LHC

  • Ahn, Sang Un;Betev, Latchezar;Bonfillou, Eric;Han, Heejune;Kim, Jeongheon;Lee, Seung Hee;Panzer-Steindel, Bernd;Peters, Andreas-Joachim;Yoon, Heejun
    • Journal of Information Science Theory and Practice
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    • 제10권spc호
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    • pp.56-65
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    • 2022
  • Korea Institute of Science and Technology Information (KISTI) is a Worldwide LHC Computing Grid (WLCG) Tier-1 center mandated to preserve raw data produced from A Large Ion Collider Experiment (ALICE) experiment using the world's largest particle accelerator, the Large Hadron Collider (LHC) at European Organization for Nuclear Research (CERN). Physical medium used widely for long-term data preservation is tape, thanks to its reliability and least price per capacity compared to other media such as optical disk, hard disk, and solid-state disk. However, decreasing numbers of manufacturers for both tape drives and cartridges, and patent disputes among them escalated risk of market. As alternative to tape-based data preservation strategy, we proposed disk-only erasure-coded archival storage system, Custodial Disk Storage (CDS), powered by Exascale Open Storage (EOS), an open-source storage management software developed by CERN. CDS system consists of 18 high density Just-Bunch-Of-Disks (JBOD) enclosures attached to 9 servers through 12 Gbps Serial Attached SCSI (SAS) Host Bus Adapter (HBA) interfaces via multiple paths for redundancy and multiplexing. For data protection, we introduced Reed-Solomon (RS) (16, 4) Erasure Coding (EC) layout, where the number of data and parity blocks are 12 and 4 respectively, which gives the annual data loss probability equivalent to 5×10-14. In this paper, we discuss CDS system design based on JBOD products, performance limitations, and data protection strategy accommodating EOS EC implementation. We present CDS operations for ALICE experiment and long-term power consumption measurement.

Discrete element numerical simulation of dynamic strength characteristics of expanded polystyrene particles in lightweight soil

  • Wei Zhou;Tian-shun Hou;Yan Yang;Yu-xin Niu;Ya-sheng Luo;Cheng Yang
    • Geomechanics and Engineering
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    • 제34권5호
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    • pp.577-595
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    • 2023
  • A dynamic triaxial discrete element numerical model of lightweight soil was established using the discrete element method to study the microscopic mechanism of expanded polystyrene (EPS) particles in the soil under cyclic loading. The microscopic parameters of the discrete element model of the lightweight soil were calibrated depending on the dynamic triaxial test hysteresis curves. Based on the calibration results, the effects of the EPS particles volume ratio and amplitude on the contact force, displacement field, and velocity field of the lightweight soil under different accumulated strains were studied. The results showed that the hysteresis curves of lightweight soil exhibit nonlinearity, hysteresis, and strain accumulation. The strain accumulated in remolded soil is mainly tensile strain, and that in lightweight soil is mainly compressive strain. As the volume ratio of EPS particles increased, the contact force first increased and then decreased, and the displacement and velocity of the particles increased accordingly. With an increase in amplitude, the dynamic stress of the particle system increased, and the accumulation rate of the dynamic strain of the samples also increased. At 5% compressive strain, the contact force of the particles changed significantly and the number of particles deflected in the direction of velocity also increased considerably. These results indicated that the cemented structure of the lightweight soil began to fail at a compressive strain of 5%. Thus, a compressive strain of 5% is more reasonable than the dynamic strength failure standard of lightweight soil.

해안 유사에서 수체로의 플라스틱 입자 방출에 관한 실험적 연구 (Experimental study on release of plastic particles from coastal sediments to fluid body)

  • 황동욱;박용성
    • 한국수자원학회논문집
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    • 제56권2호
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    • pp.125-137
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    • 2023
  • 지속적으로 증가하는 플라스틱의 사용으로 인하여 현재 해안·해양 환경에서 플라스틱을 찾기란 어렵지 않은 일이 되었다. 하천을 통해 해양으로 유출된 플라스틱 폐기물은 해안 지역에서 장기간 머물며, 파랑, 바람, 유사, 인간 활동 등과 같은 다양한 요인들과 상호작용하며 물리적·화학적 변화를 겪게 된다. 이에, 실험적 연구를 통하여 해안 유사에서 수체로의 플라스틱 입자 방출 과정을 고찰하고자 하였다. 본 연구는 고 레이놀즈 수를 가지는 왕복 흐름과 유사 이동을 구현하기 위한 왕복흐름발생장치를 제작하여 진행되었고, 세 가지의 크기를 가지는 매끈한 구형의 플라스틱 입자를 사용하였다. 실험 결과, 유사 내 플라스틱 입자의 방출은 유사 이동에 가장 큰 영향을 받았으며, 이는 흐름의 세기에 비례한다. 더불어, 입자가 작을수록 더 많은 입자가 방출되었다. 결과를 종합하여 입자의 방출을 결정하는 무차원 매개변수들의 임계값을 제시하였다.