• 제목/요약/키워드: memory yield

검색결과 92건 처리시간 0.022초

강릉 지역 공간 감마선량률의 시계열 분석 (Time Series Analysis of Gamma exposure rates in Gangneung Area)

  • 차호환;김재화
    • 한국방사선학회논문지
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    • 제7권1호
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    • pp.25-30
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    • 2013
  • 본 논문은 1998년부터 2011년까지 강릉 지역의 지방 방사능 측정소에서 측정된 공간 감마선량률의 통계 적인 성질을 조사하였다. Autocorrelation Function Analysis(ACF), Rescaled Range Analysis(R/S Analysis), Detrended Fluctuation Analysis(DFA)의 방법들이 사용되었으며, 이 중 DFA는 non-stationary한 시계열의 장거리 상관성을 보여주는 좋은 방법으로 알려져 있다. 우리는 이 연구를 통해 다음의 사실을 알았다. 첫 번째, 공간 감마선량률은 두 가지 다른 경향을 갖는 크로스 오버가 나타난다. 이것은 연중 공간 감마선량률은 강한 장기 기억 특성이 나타나는데 비해 연간으로 넘어가면 상관성이 사라지는 것을 의미한다. 두 번째, 각 분석 방법들의 지수들이 있는데 이 지수들 사이의 관계식이 맞음을 확인 하였다.

An In Vitro and In Vivo Cholinesterase Inhibitory Activity of Pistacia khinjuk and Allium sativum Essential Oils

  • Ghajarbeygi, Peyman;Hajhoseini, Ashraf;Hosseini, Motahare-Sadat;Sharifan, Anoosheh
    • 대한약침학회지
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    • 제22권4호
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    • pp.231-238
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    • 2019
  • Objectives: Alzheimer's disease (AD), an overwhelming neurodegenerative disease, has deleterious effects on the brain that consequently causes memory loss and language impairment. This study was intended to investigate the neuroprotective activity of the two essential oils (EOs) from Iranian Pistacia khinjuk (PK) leaves and Allium sativum (AS) cloves against β-Amyloid 25-35 (Aβ25-35) induced elevation of cholinesterase enzymes in AD. Methods: The EOs of PK (PKEO) and AS (ASEO) were prepared and analyzed in terms of extraction yield, phenolic content, and cholinergic markers in vitro. Moreover, both were administered orally to adult male Wistar rats at concentrations of 1, 2, and 3%. The inhibitory potential of PKEO and ASEO was compared with Donepezil (0.75 mg/kg) against the high activities of acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) enzymes. Results: PKEO reached an inhibition rate of 83.6% and 81.4% against AChE and BChE, respectively. ASEO had lower anti-cholinesterase activity (65.4% and 31.5% for the inhibition AChE and BChE). PKEO was found to have more phenolic content than ASEO. A significantly positive correlation was observed between the total phenolics and anti-cholinesterase potential. In rats, both EOs decreased the enzyme activity in a concentration-dependent manner. As compared with Donepezil, the significant difference in the AChE and BChE inhibition occurred as rats were treated with PKEO 3% (p < 0.05). Conclusion: It could be concluded that PKEO and ASEO are potent inhibitors of AChE and BChE in rats that hold promise to be used for the treatment of AD.

더블 PI:PCBM 유전체 층 기반의 초 저전력 CNT 시냅틱 트랜지스터 (Ultra-Low Powered CNT Synaptic Transistor Utilizing Double PI:PCBM Dielectric Layers)

  • 김용훈;조병진
    • 한국재료학회지
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    • 제27권11호
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    • pp.590-596
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    • 2017
  • We demonstrated a CNT synaptic transistor by integrating 6,6-phenyl-C61 butyric acid methyl ester(PCBM) molecules as charge storage molecules in a polyimide(PI) dielectric layer with carbon nanotubes(CNTs) for the transistor channel. Specifically, we fabricated and compared three different kinds of CNT-based synaptic transistors: a control device with $Al_2O_3/PI$, a single PCBM device with $Al_2O_3/PI:PCBM$(0.1 wt%), and a double PCBM device with $Al_2O_3/PI:PCBM$(0.1 wt%)/PI:PCBM(0.05 wt%). Statistically, essential device parameters such as Off and On currents, On/Off ratio, device yield, and long-term retention stability for the three kinds of transistor devices were extracted and compared. Notably, the double PCBM device exhibited the most excellent memory transistor behavior. Pulse response properties with postsynaptic dynamic current were also evaluated. Among all of the testing devices, double PCBM device consumed such low power for stand-by and its peak current ratio was so large that the postsynaptic current was also reliably and repeatedly generated. Postsynaptic hole currents through the CNT channel can be generated by electrons trapped in the PCBM molecules and last for a relatively short time(~ hundreds of msec). Under one certain testing configuration, the electrons trapped in the PCBM can also be preserved in a nonvolatile manner for a long-term period. Its integrated platform with extremely low stand-by power should pave a promising road toward next-generation neuromorphic systems, which would emulate the brain power of 20 W.

Use of equivalent spring method for free vibration analyses of a rectangular plate carrying multiple three-degree-of-freedom spring-mass systems

  • Wu, Jia-Jang
    • Structural Engineering and Mechanics
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    • 제21권6호
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    • pp.713-735
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    • 2005
  • Due to the complexity of mathematical expressions, the literature concerning the free vibration analysis of plates carrying multiple three-degree-of-freedom (dof) spring-mass systems is rare. In this paper, the three degrees of freedom (dof's) for a spring-mass system refer to the translational motion of its lumped mass in the vertical ($\bar{z}$) direction and the two pitching motions of its lumped mass about the two horizontal ($\bar{x}$ and $\bar{y}$) axes. The basic concept of this paper is to replace each three-dof spring-mass system by a set of equivalent springs, so that the free vibration characteristics of a rectangular plate carrying any number of three-dof spring-mass systems can be obtained from those of the same plate supported by the same number of sets of equivalent springs. Since the three dof's of the lumped mass for each three-dof spring-mass system are eliminated to yield a set of equivalent springs, the total dof of the entire vibrating system is not affected by the total number of the spring-mass systems attached to the rectangular plate. However, this is not true in the conventional finite element method (FEM), where the total dof of the entire vibrating system increases three if one more three-dof spring-mass system is attached to the rectangular plate. Hence, the computer storage memory required by using the presented equivalent spring method (ESM) is less than that required by the conventional FEM, and the more the total number of the three-dof spring-mass systems attached to the plate, the more the advantage of the ESM. In addition, since manufacturing a spring with the specified stiffness is much easier than making a three-dof spring-mass system with the specified spring constants and mass magnitude, the presented theory of replacing a three-dof spring-mass system by a set of equivalent springs will be also significant from this viewpoint.

식용 제비집으로부터 비극성 비드기술을 활용한 시알산의 분리정제방법에 관한 연구 (A Study on Purification Process of Sialic Acid from Edible Bird's Nest Using Affinity Bead Technology)

  • 김동명;정주영;이형곤;권용성;백진홍;한인석
    • 한국해양바이오학회지
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    • 제12권2호
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    • pp.81-90
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    • 2020
  • Sialic acid, which is contained in about 60-160 mg/kg in the edible bird's nest (EBN), is known to facilitate in the proper formation of synapses and improve memory function. The objective of this study is to extract effectively the sialic acid from edible bird's nest using affinity bead technology (ABT). After preparing the non-polar polymeric bead "KJM-278-28A" having a porous network structure, and then desorbed sialic acid was concentrated and dried. The analysis of the physicochemical properties of bead "KJM-278-28A" showed that the particle size was 400-700 ㎛, the moisture holding capacity was 67-70%, the surface area (BET) was 705-900 ㎡/g, and the average pore diameter 70-87 Å. The adsorption capacity of the bead "KJM-278-28A" for sialic acid was shown a strong physical force to bind sialic acid to the bead surface of 400 mg/L. In addition, as a result of analyzing the adsorption and desorption effects of sialic acid on water, ethanol, and 10% ethanol on the bead, it was confirmed that desorption effectively occurs from the beads when only ethanol is used. As a result of HPLC measurement of the separated sialic acid solution, a total of four sialic acid peaks of N-acetyl-neuraminic acid (Neu5Ac), α,β-anomer of Neu5Ac and N-glycoly-neuraminic acid were identified. Through these results, it was confirmed that it is possible to separate sialic acid from EBN extract with efficient and high yield when using ABT.

Dental-derived cells for regenerative medicine: stem cells, cell reprogramming, and transdifferentiation

  • Young-Dan Cho;Kyoung-Hwa Kim;Yong-Moo Lee;Young Ku;Yang-Jo Seol
    • Journal of Periodontal and Implant Science
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    • 제52권6호
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    • pp.437-454
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    • 2022
  • Embryonic stem cells have been a popular research topic in regenerative medicine owing to their pluripotency and applicability. However, due to the difficulty in harvesting them and their low yield efficiency, advanced cell reprogramming technology has been introduced as an alternative. Dental stem cells have entered the spotlight due to their regenerative potential and their ability to be obtained from biological waste generated after dental treatment. Cell reprogramming, a process of reverting mature somatic cells into stem cells, and transdifferentiation, a direct conversion between different cell types without induction of a pluripotent state, have helped overcome the shortcomings of stem cells and raised interest in their regenerative potential. Furthermore, the potential of these cells to return to their original cell types due to their epigenetic memory has reinforced the need to control the epigenetic background for successful management of cellular differentiation. Herein, we discuss all available sources of dental stem cells, the procedures used to obtain these cells, and their ability to differentiate into the desired cells. We also introduce the concepts of cell reprogramming and transdifferentiation in terms of genetics and epigenetics, including DNA methylation, histone modification, and non-coding RNA. Finally, we discuss a novel therapeutic avenue for using dental-derived cells as stem cells, and explain cell reprogramming and transdifferentiation, which are used in regenerative medicine and tissue engineering.

A Method for Generating Malware Countermeasure Samples Based on Pixel Attention Mechanism

  • Xiangyu Ma;Yuntao Zhao;Yongxin Feng;Yutao Hu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권2호
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    • pp.456-477
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    • 2024
  • With information technology's rapid development, the Internet faces serious security problems. Studies have shown that malware has become a primary means of attacking the Internet. Therefore, adversarial samples have become a vital breakthrough point for studying malware. By studying adversarial samples, we can gain insights into the behavior and characteristics of malware, evaluate the performance of existing detectors in the face of deceptive samples, and help to discover vulnerabilities and improve detection methods for better performance. However, existing adversarial sample generation methods still need help regarding escape effectiveness and mobility. For instance, researchers have attempted to incorporate perturbation methods like Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and others into adversarial samples to obfuscate detectors. However, these methods are only effective in specific environments and yield limited evasion effectiveness. To solve the above problems, this paper proposes a malware adversarial sample generation method (PixGAN) based on the pixel attention mechanism, which aims to improve adversarial samples' escape effect and mobility. The method transforms malware into grey-scale images and introduces the pixel attention mechanism in the Deep Convolution Generative Adversarial Networks (DCGAN) model to weigh the critical pixels in the grey-scale map, which improves the modeling ability of the generator and discriminator, thus enhancing the escape effect and mobility of the adversarial samples. The escape rate (ASR) is used as an evaluation index of the quality of the adversarial samples. The experimental results show that the adversarial samples generated by PixGAN achieve escape rates of 97%, 94%, 35%, 39%, and 43% on the Random Forest (RF), Support Vector Machine (SVM), Convolutional Neural Network (CNN), Convolutional Neural Network and Recurrent Neural Network (CNN_RNN), and Convolutional Neural Network and Long Short Term Memory (CNN_LSTM) algorithmic detectors, respectively.

LSTM Networks 딥러닝 기법과 SWAT을 이용한 유량지속곡선 도출 및 평가 (A study on the derivation and evaluation of flow duration curve (FDC) using deep learning with a long short-term memory (LSTM) networks and soil water assessment tool (SWAT))

  • 최정렬;안성욱;최진영;김병식
    • 한국수자원학회논문집
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    • 제54권spc1호
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    • pp.1107-1118
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    • 2021
  • 지구온난화로 인해 발생한 기후변화는 한반도의 홍수, 가뭄 등의 발생빈도를 증가시켰으며, 이로 인해 인적, 물적 피해가 증가한 것으로 나타났다. 수재해 대비 및 대응을 위해서는 국가 차원의 수자원 관리 계획 수립이 필요하며, 유역 단위 수자원 관리를 위해서는 장기간 관측된 유량 자료를 이용하여 도출된 유량지속곡선이 필요하다. 전통적으로 수자원 분야에서 유량지속곡선을 도출하기 위하여 물리적 기반의 강우-유출 모형이 많이 사용되고 있으며, 최근에는 데이터 기반의 딥러닝 기법을 이용한 유출량 예측 기법에 관한 연구가 진행된 바 있다. 물리적 기반의 모형은 수문학적으로 신뢰도 높은 결과를 도출할 수 있으나, 사용자의 높은 이해도가 요구되며, 모형 구동 시간이 오래 걸릴 수 있는 단점이 있다. 데이터 기반의 딥러닝 기법의 경우 입력 자료가 간단하며, 모형 구동 시간이 비교적 짧으나 입력 및 출력자료 간의 관계가 블랙박스로 처리되어 수리·수문학적 특성을 반영할 수 없는 단점이 있다. 본 연구에서는 물리적 기반 모형으로 국내외에서 적용성이 검증된 Soil Water Assessment Tool (SWAT)의 매개변수 보정(Calibration)을 통해 장기간의 결측치 없는 데이터를 산출하고, 이를 데이터 기반 딥러닝 기법인 Long Short-term Memory (LSTM)의 훈련(Training) 데이터로 활용하였다. 시계열 데이터 분석 결과 검·보정 전체 기간('07-'18) 동안 Nash-Sutcliffe Efficiency (NSE)와 적합도 비교를 위한 결정계수는 각각 0.04, 0.03 높게 도출되어 모형에서 도출된 SWAT의 결과가 LSTM보다 전반적으로 우수한 것으로 나타났다. 또한, 모형에서 도출된 연도별 시계열 자료를 내림차순하여 산정된 유량지속곡선과 관측유량 기반의 유량지속곡선과 비교한 결과 NSE는 SWAT과 LSTM 각각 0.95, 0.91로 나타났으며, 결정계수는 0.96, 0.92로 두 모형 모두 우수한 성능을 보였다. LSTM 모형의 경우 저유량 부분 모의의 정확도 개선이 필요하나, 방대한 입력 자료로 인해 모형 구축 및 구동 시간이 오래 걸리는 대유역과 입력 자료가 부족한 미계측 유역의 유량지속곡선 산정 등에 활용성이 높을 것으로 판단된다.

총명탕(聰明湯) 열수(熱水) 추출물의 마우스 단회 경구투여 독성 실험 (Mouse Single Oral Dose Toxicity Test of Chongmyung-tang Aqueous Extracts)

  • 황하연;장우석;백경민
    • 대한한방내과학회지
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    • 제35권1호
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    • pp.37-49
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    • 2014
  • 목적 및 방법 : 본 연구에서는 한의학에서 전통적으로 신경보호 약물로 사용되어온 총명탕 물 추출물의 급성 독성증상을 관찰하기 위하여 한국식품의약품안전청 고시 제 2009-116호에 따라 암수 ICR마우스 단회 경구투여 독성 실험을 실시하였다. 반수치사량, 개략적치사량, 표적장기 등을 관찰하기 위하여, 수율 9.70% 총명탕 물 추출물 2,000, 1,000 및 500 mg/kg을 암수 마우스에 단회 경구 투여하고, 투여 후 14일 동안의 임상증상, 사망례, 체중 및 증체량의 변화 및 부검소견을 관찰하였으며, 투여 14일 후 14개 주요 실질 장기에 대한 중량 및 조직병리학적 관찰을 실시하였다. 또한 별도의 암수 매체 대조군을 두어 그 결과를 비교하였다. 결 과 : 본 실험의 결과, 설치류 최대 한계투여 용량인 2,000 mg/kg까지 총명탕 물 추출물 투여와 관련된 사망례가 인정되지 않았으며, 암수 매체 대조군을 포함하여, 모든 실험군에 걸쳐 산발적으로 관찰된 일부 우발적인 육안부검 및 조직병리학적 소견을 제외하고, 총명탕 물 추출물 투여와 관련된 임상증상, 체중 및 장기 중량의 변화, 14개 주요장기에 대한 육안부검 및 조직병리학적 소견이 인정되지 않았다. 결 론 : 따라서 마우스 단회 경구투여 독성실험에서 총명탕 물 추출물의 반수치사량 및 개략적 치사량은 각각 설치류 투여 한계용량인 2,000 mg/kg 이상으로 관찰되어, 매우 안전한 약물로 판단되며, 임상사용에는 별 다른 문제를 일으키지는 않을 것으로 판단된다.

Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances

  • SuJin Bak
    • 한국컴퓨터정보학회논문지
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    • 제28권10호
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    • pp.133-153
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    • 2023
  • 본 논문에서 우리는 뇌 신호 측정 기술 중 하나인 뇌전도를 활용한 새로운 접근방식을 제안한다. 전통적으로 연구자들은 감정 상태의 분류성능을 향상시키기 위해 뇌전도 신호와 생체신호를 결합해왔다. 우리의 목표는 뇌전도와 결합된 생체신호의 상호작용 효과를 탐구하고, 뇌전도+생체신호의 조합이 뇌전도 단독사용 또는 임의로 생성된 의사 무작위 신호와 결합한 경우에 비해 감정 상태의 분류 정확도를 향상시킬 수 있는지를 확인한다. 네 가지 특징추출 방법을 사용하여 두 개의 공개 데이터셋에서 얻은 데이터 기반의 뇌전도, 뇌전도+생체신호, 뇌전도+생체신호+무작위신호, 및 뇌전도+무작위신호의 네 가지 조합을 조사했다. 감정 상태 (작업 대 휴식 상태)는 서포트 벡터 머신과 장단기 기억망 분류기를 사용하여 분류했다. 우리의 결과는 가장 높은 정확도를 가진 서포트 벡터 머신과 고속 퓨리에 변환을 사용할 때 뇌전도+생체신호의 평균 오류율이 뇌전도+무작위신호와 뇌전도 단독 신호만을 사용한 경우에 비해 각각 4.7% 및 6.5% 높았음을 보여주었다. 우리는 또한 다양한 무작위 신호를 결합하여 뇌전도+생체신호의 오류율을 철저하게 분석했다. 뇌전도+생체신호+무작위신호의 오류율 패턴은 초기에는 깊은 이중 감소 현상으로 인해 감소하다가 차원의 저주로 인해 증가하는 V자 모양을 나타냈다. 결과적으로, 우리의 연구 결과는 뇌파와 생체신호의 결합이 항상 유망한 분류성능을 보장할 수 없음을 시사한다.