• 제목/요약/키워드: Matrix Capacity Rate

검색결과 72건 처리시간 0.03초

돼지 근육의 사후 해당속도가 돈육 수리미의 젤 특성에 미치는 영향 (Effect of Glycolysis Rate in Porcine Muscle Postmortem on Gel Property of Pork Surimi)

  • 강근호;양한술;정진연;주선태;박구부
    • 한국축산식품학회지
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    • 제25권4호
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    • pp.423-429
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    • 2005
  • 돈육을 수세하여 돈육 수리미를 제조할 때, 사후 해당 속도가 빠른 돈육을 원료육으로 이용하면 낮은 pH에 기인하여 보수성이 낮은 결과 적은 수분 함량을 보유하는 돈육 수세물을 획득하게 되어 수율이 낮아졌다. 사후 해당 속도가 빠른 돈육은 정상 돈육에 비해 육단백질의 변성이 유발되어 수분 함량이 낮고 치밀한 젤 매트릭스를 형성하여 경도가 높지만 탄력성이 낮은 돈육 수리미를 생산하였다. 뿐만 아니라 사후 해당 속도가 빠른 돈육은 변성된 근장 단백질이 근원섬유 단백질과 결합하여 수세되지 않고 돈육 수세물 내에 잔존하게 되어 돈육 수리미의 색깔을 어둡게 만드는 원인으로 작용한 것으로 사료된다.

단결정 $YBa_2Cu_3O_{7-y}$ 벌크 초전도체 제조를 위한 경제적 공정의 개발 (Development of a Cost-Effective Process for the Fabrication of Single Grain $YBa_2Cu_3O_{7-y}$ Bulk Superconductors)

  • 박순동;김광모;전병혁;한영희;김찬중
    • Progress in Superconductivity
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    • 제13권2호
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    • pp.133-138
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    • 2011
  • To reduce the processing cost of the single grain REBCO (RE: Rare-earth elements) bulk superconductors, a cost-effective process should be developed. One possible way of developing the cost-effective process is the use of low-cost precursor powders. In this study, the single grain YBCO superconductors were fabricated using a home made powder. $YBa_2Cu_3O_{7-y}$ (Y123) powders were synthesized at $850-900^{\circ}C$ in air by the powder calcination method with repeated crushing and heat treatment steps. The processing parameters for the fabrication of single grain Y123 bulk superconductors, $T_{max}$ (maximum temperature), $T_p$ (peritectic temperature) and a cooling rate through $T_p$ were optimized. To enhance the flux pinning capacity of the single grain Y123 samples, $Y_2BaCuO_5$ (Y211) particles were dispersed in the Y123 matrix by adding $Y_2O_3$ powder to the calcined Y123 powder. Applying the optimized processing condition, the single grain Y123 superconductors with $T_c=91\;K$ and $J_c=1.5{\times}10^4\;A/cm^2$ at 2 T were successfully fabricated using a home made powder. The levitation forces and trapped magnetic field at 77 K measured using a Nd-B-Fe permanent magnet of 5300 G were 47 N and 3000 G, respectively, which are comparable to those obtained for the samples fabricated using a commercial grade Y123 powders.

MIMO 채널 대각화: 선형 검출 ZF, MMSE (MIMO Channel Diagonalization: Linear Detection ZF, MMSE)

  • 양재승;신태철;이문호
    • 한국인터넷방송통신학회논문지
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    • 제16권1호
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    • pp.15-20
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    • 2016
  • 공간다중화 방식을 사용하는 MIMO 시스템은 다이버시티 기법을 사용하는 MIMO 시스템과 비교할 때 높은 전송률을 달성하지만 다이버시티 이득이 낮아 데이터 전송 신뢰도를 높이기 위하여 MIMO 수신단에서 공간정보스트림을 분리해야한다. 본 논문에서는 격자부호에 의한 채널 용량 검출 기법, 사용자 3인인 간섭채널과 선형검출기법인 ZF(Zero Forcing)와 MMSE(Minimum Mean Square Error) 검파 기법을 비교했다. 이때 채널은 Diagonal 채널이 된다. 즉, Diagonal 채널은 $[H]_N[H]_N^{-1}=[I]_N$로 역행렬이 element-wise inverse로 Jacket 행렬의 성질을 만족함을 확인했다.

소성과 황화반응에 따른 생석회의 비표면적 및 기공구조 변화 (Specific Surface Area and Pore Structure Changes of Calcined Lime with Calcination and Sulfation Reaction)

  • 강순국;정명규
    • 환경위생공학
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    • 제13권3호
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    • pp.19-29
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    • 1998
  • The calcination reactivity of limestone and physical property changes of calcined lime were investigated with a temperature($720~1000^{\circ}C$ under atmospheric gas($N_2$, $CO_2$) conditions. The mechanisms of mass transport in a lime matrix were represented by the evaporation and condensation (${\gamma}=1.7$) at $1000^{\circ}C$ and the volume diffusion (${\gamma}=2.7$) at $800^{\circ}C$, which was obtained by the specific surface area of calcined lime with sintering conditions. Also, the effect of physical property on the reactivity of sulfation reaction was determined by the changes of pore size with $lime-SO_2$ reaction in this work. The initial sulfation rate of calcined lime increased with increasing temperature, whereas the capture capacity of $SO_2$ exhibited a maximum value at $900^{\circ}C$. The pore volume of sulfated lime was decreased with increasing sulfation time, but the major pores shifted to the distribution of larger size at a temperature of $850{\;}~{\;}1000^{\circ}C$. The mean pore size of sulfated lime based on pore volume decreased gradually at $1000^{\circ}C$; however, it increased with sulfation time up to 40 min and rapidly decreased thereafter.

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Immobilization of Prussian blue nanoparticles in acrylic acid-surface functionalized poly(vinyl alcohol) sponges for cesium adsorption

  • Wi, Hyobin;Kang, Sung-Won;Hwang, Yuhoon
    • Environmental Engineering Research
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    • 제24권1호
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    • pp.173-179
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    • 2019
  • Prussian blue (PB) is known to be an effective material for radioactive cesium adsorption, but its nano-range size make it difficult to be applied for contaminated water remediation. In this study, a simple and versatile approach to immobilize PB in the supporting matrix via surface functionalization was investigated. The commercially available poly vinyl alcohol (PVA) sponge was functionalized by acrylic acid (AA) to change its major functional group from hydroxyl to carboxylic, which provides a stronger ionic bond with PB. The amount of AA added was optimized by evaluating the weight change rate and iron(III) ion adsorption test. The FTIR results revealed the surface functional group changing to a carboxyl group. The surface functionalization enhanced the attachment of PB, which minimized the leaching out of PB. The $Cs^+$ adsorption capacity significantly increased due to surface functionalization from 1.762 to 5.675 mg/g. These findings showed the excellent potential of the PB-PAA-PVA sponge as a cesium adsorbent as well as a versatile approach for various supporting materials containing the hydroxyl functional group.

셀소재를 고려한 리튬2차전지 제조공정 위험성 평가 방법 연구 (Research on Risk Assessment of Lithium-ion Battery Manufacturing Process Considering Cell Materials)

  • 김태훈
    • 한국안전학회지
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    • 제37권2호
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    • pp.76-87
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    • 2022
  • Lithium-ion batteries (LIBs) have attracted much interest for their high energy density (>150 mAh/g), high capacity, low self-discharge rate, and high coulombic efficiency. However, with the successful commercialization of LIBs, fire and explosion incidents are likely to increase. The thermal runaway is known as the major factor in battery-related accidents that can lead to a series of critical conditions. Considering this, recent studies have shown an increased interest in countering the safety issues associated with LIBs. Although safety standards for LIB use have recently been formulated, little attention has been paid to the safety around the manufacturing process for battery products. The present study introduces a risk assessment method suitable for assessing the safety of the LIB-manufacturing process. In the assessment method, a compensation parameter (Z-factor) is employed to correctly evaluate the process's safety on the basis of the type of material (e.g., metal anode, liquid electrolyte, solid-state electrolytes) utilized in a cell. The proposed method has been applied to an 18650 cell-manufacturing process, and three sub-processes have been identified as possibly vulnerable parts (risk index: >4). This study offers some crucial insights into the establishment of safety standards for battery-manufacturing processes.

세피올라이트를 활용한 시멘트 경화체의 미세먼지 흡착 특성 (Fine Dust Adsorption of Cement Matrix Using Sepiolite )

  • 전은영;이상수
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2023년도 가을학술발표대회논문집
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    • pp.71-72
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    • 2023
  • As industrialization and urbanization accelerate, environmental issues have moved from local concerns to global issues. Among them, air pollution is the most important issue. Modern people spend more than 88% of their day indoors, but the concentration of fine dust and pollutants flowing indoors is increasing. The indoor environment has its own complexity, and various substances used indoors, such as building materials, furniture, electronics, and cleaning agents, emit chemical substances and cause various diseases. Therefore, when selecting building materials and interior finishing materials, the pollutant emission and adsorption capacity must be greatly considered. These considerations will ensure the construction of a sustainable future environment and a healthy life within that environment. Therefore, in order to reduce the generation of indoor air pollutants, this study aims to examine the fine dust adsorption properties of cement hardening materials using sepiolite, which has a porous structure and high absorption power among clay minerals. As a result of the experiment, it was found that the concentration of fine dust decreased as the addition rate of sepiolite increased. It is believed that the fine dust concentration was reduced due to the high porosity due to the microfibrous structure and large specific surface area of sepiolite, which has a porous structure among clay minerals. It is believed that these experimental results can be used as basic research for future use of sepiolite as a construction material.

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WDM 링 네트워크의 비용 절감을 위한 트래픽 통합 기법 : 유니폼 트래픽 경우 (Cost-Effective Traffic Grooming in WDM Ring Networks : Uniform-Traffic Case)

  • 조원홍;장민석
    • 한국통신학회논문지
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    • 제25권8A호
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    • pp.1247-1253
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    • 2000
  • SONET/ADM 망의 용량을 최대한 활용하기 위해선 트래픽 통합(grooming)이 필요하다 이는 저속의 여러 트랙픽들을 한 개의 고속 스트림으로 다중화하거나 그 반대로 함으로서 이루어진다 SONET 링 네트워크의 용량은 다중 파장상에서 운용됨으로서 증가될 수 있다 하더라도 이를 위해선 망 설계 시 많은 ADM을 사용하여 높은 비용이 들 수 있다 비용 측면에서 효과적인 설계를 위해선 제공되는 트래픽을 수용하면서 최대한 ADM개수를 줄이는 것이므로 본 논문에서는 WDM 링 네트워크를 위해 새롭게 제시된 다중 홉 트래픽 통합 방식의 특성과 성능을 소개하고 평가한다 다중 홉방식에서는 트래픽 행렬에서 요구되는 트래픽에 기반을 해석 각 노드에 ADM을 둔 다음 통합될 수 있는 파장들을 통합한다 그리고 노드들 중 하나를 각 파장 당 하나씩의 ADM을 가지는 허브노드로 선택한다 이렇게 함으러써 허브 노드는 모든 파장 사이에 존재하는 트래픽을 연결할 수 있다 알고리즘은 간단한 예를 통해서 설명되었다 본 논문의 결과에 의하면 통합 비율이 낮을 경우에는 단일 홉 접근 방식을 사용하는 것이 유리하지만 비율이 높고 노드수가 많을수록 제안한 다중 홉 방식이 좋은 성능을 보였다.

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빠른 클러스터 개수 선정을 통한 효율적인 데이터 클러스터링 방법 (Efficient Data Clustering using Fast Choice for Number of Clusters)

  • 김성수;강범수
    • 산업경영시스템학회지
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    • 제41권2호
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    • pp.1-8
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    • 2018
  • K-means algorithm is one of the most popular and widely used clustering method because it is easy to implement and very efficient. However, this method has the limitation to be used with fixed number of clusters because of only considering the intra-cluster distance to evaluate the data clustering solutions. Silhouette is useful and stable valid index to decide the data clustering solution with number of clusters to consider the intra and inter cluster distance for unsupervised data. However, this valid index has high computational burden because of considering quality measure for each data object. The objective of this paper is to propose the fast and simple speed-up method to overcome this limitation to use silhouette for the effective large-scale data clustering. In the first step, the proposed method calculates and saves the distance for each data once. In the second step, this distance matrix is used to calculate the relative distance rate ($V_j$) of each data j and this rate is used to choose the suitable number of clusters without much computation time. In the third step, the proposed efficient heuristic algorithm (Group search optimization, GSO, in this paper) can search the global optimum with saving computational capacity with good initial solutions using $V_j$ probabilistically for the data clustering. The performance of our proposed method is validated to save significantly computation time against the original silhouette only using Ruspini, Iris, Wine and Breast cancer in UCI machine learning repository datasets by experiment and analysis. Especially, the performance of our proposed method is much better than previous method for the larger size of data.

NMF와 LDA 혼합 특징추출을 이용한 해마 학습기반 RFID 생체 인증 시스템에 관한 연구 (A Study on the RFID Biometrics System Based on Hippocampal Learning Algorithm Using NMF and LDA Mixture Feature Extraction)

  • 오선문;강대성
    • 대한전자공학회논문지SP
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    • 제43권4호
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    • pp.46-54
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    • 2006
  • 최근 각종 온라인 상거래 및 개인 신분카드 이용이 늘어나면서 개인 인증의 중요성이 부각되고 있다. RFID(Radio Frequency Identification) tag가 내장된 개인 신분 카드가 점차 증가하고 있지만, 본인의 인증을 할 수 있는 방법이 미비하기 때문에, 자동화 할 수 있는 대책이 시급하다. RFID tag는 현재 메모리 용량이 매우 작기 때문에, 개인의 생체정보를 저장하기 위해서는 효율적인 특징추출 방법이 필요하며, 저장된 특징들을 비교하기 위해서는 새로운 인식방법이 필요하다. 본 논문에서는 인간의 인지학적인 두뇌 원리인 해마 신경망을 공학적으로 모델링하여 얼굴 영상의 특징 벡터들을 고속 학습하고, 각 영상의 최적의 특정을 구성할 수 있는 해마 신경망 모델링 알고리즘을 이용한 개인생체 인증 시스템에 관한 연구를 수행하였다. 시스템은 크게 NMF(Non-negative Matrix Factorization)와 LDA(Linear Discriminants Analysis) 혼합 알고리즘을 이용한 특징 추출 부분과 해마신경망을 모델링하고 인식 성능을 실험하는 것으로 구성 되어 있다. 제안한 시스템의 성능을 평가하기 위하여 실험은 표정변화와 포즈변화가 포함된 이미지를 각각 구분하여 인식률을 확인하였다. 실험 결과, 본 논문에서 제안하는 특정 추출 방법과 학습 방법을 다른 방법들과 비교하였을 때, 학습시간비용과 인식률에서 우수함을 확인하였다.