• 제목/요약/키워드: Activation function

검색결과 1,479건 처리시간 0.032초

Effects of Mental Practice on Function and Muscle Activation of Upper Extremity in Stroke Patients

  • Park, Ju-Hyung
    • 대한물리의학회지
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    • 제11권3호
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    • pp.125-131
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    • 2016
  • PURPOSE: The objective of this research is to investigate the effectiveness of mental practice on function and muscle activation of upper extremity (UE) in stroke patients. METHODS: The mental practice was conducted on 12 subjects for 10 minutes and the related existing work treatment for 20 minutes. The evaluation for the function of UE proceeded with Fugl-Meyer assessment of motor function (FMA) and muscle activity analysis instrument. Furthermore we analyzed patients' reaching activity by two stages, reaching phase and returning to original position phase. RESULTS: According to the research results, the subjects' upper limb function improved in all of the measured items and the total scores after the mental practice (p<.05). In muscle activity, CCR value was used to efficiently analyze the patients' reaching activity in the two stages of reaching stage and returning to the original position phase. While the elbow movement only had a bit of positive change (1.1%) in the reaching stage, both the shoulder (-12.3%) and elbow (-18.2%) movements had a positive change in the returning to original position phase. CONCLUSION: This research confirmed that the mental practice is effective for the enhancement of UE function for stroke patients. The result of this research can contribute to the progress of mental practice in clinical environment.

빅 데이터 처리를 위한 증분형 FCM 기반 순환 RBF Neural Networks 패턴 분류기 설계 (Design of Incremental FCM-based Recursive RBF Neural Networks Pattern Classifier for Big Data Processing)

  • 이승철;오성권
    • 전기학회논문지
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    • 제65권6호
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    • pp.1070-1079
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    • 2016
  • In this paper, the design of recursive radial basis function neural networks based on incremental fuzzy c-means is introduced for processing the big data. Radial basis function neural networks consist of condition, conclusion and inference phase. Gaussian function is generally used as the activation function of the condition phase, but in this study, incremental fuzzy clustering is considered for the activation function of radial basis function neural networks, which could effectively do big data processing. In the conclusion phase, the connection weights of networks are given as the linear function. And then the connection weights are calculated by recursive least square estimation. In the inference phase, a final output is obtained by fuzzy inference method. Machine Learning datasets are employed to demonstrate the superiority of the proposed classifier, and their results are described from the viewpoint of the algorithm complexity and performance index.

동작관찰 시 뇌졸중 환자의 뮤리듬 변화 (The Change of Mu Rhythm during Action Observation in People with Stroke)

  • 윤태원;이문규
    • 대한물리의학회지
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    • 제6권3호
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    • pp.361-368
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    • 2011
  • Purpose : The aims of this study was to identify the activation of the mirror neuron system during action observation in people with stroke and the difference between left hemisphere and right hemisphere and to provide possibility of the use of action observation as a clinical method for improving motor function after stroke. Methods : Seventeen participants were asked to observe 3 different stimulation conditions for 80 seconds. A 30 second rest period was given between stimulations. Electroencephalogram(EEG) signals from electrodes on the participant's scalp were recorded during action observation. The activation of the mirror neuron system(MNS) between the picture observation condition and action observation condition was compared with a paired t-test. An independent t-test was used to compare difference between C3 and C4 on the activation of the mirror neuron system in the action observation condition. Results : Result of paired t-test showed a significantly decreased log ratio in the activation of the mirror neuron system in the action observation condition compared to the picture observation condition. Result of the independent t-test indicated no significant differences in the activation of the mirror neuron system in the right and left hemisphere. Conclusion : The mirror neuron system showed greater activation in the action observation condition than in the picture observation condition and activation in the both hemisphere during action observation. We conclude that these findings suggest that this may possibly be an efficient clinical intervention method for improving motor function.

기능적 전기자극에 의한 근육피로의 특성을 표현하는 근육 모델 (Musculotendon Model to Represent Characteristics of Muscle Fatigue due to Functional Electrical Stimulation)

  • 임종광;손재현;남문현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.656-658
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    • 1999
  • This paper presents musculotendon model to show the decline in muscle force during functional electrical stimulation (FES). It represent muscle activation and contraction concepts including muscle fatigue. A muscle fatigue term in activation dynamics as a function of the intracellular acidification and the pulsewidth of stimulation pulses change activation to decline muscle force. The computer simulation shows that muscle force decline in stimulation time.

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다양한 활성 함수를 사용하는 신경회로망의 구성 (Neural Networks with Mixed Activation Functions)

  • 이충열;박철훈
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.679-680
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    • 2008
  • When we apply the neural networks to applications, we need to select proper architecture of the network and the activation function of the network is one of most important characteristics. In this research, we propose a method to make a network using multiple activation functions. The performance of the proposed method is investigated through the computer simulations on various regression problems.

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Activation Energy for the Decapsulation of Small Molecules from A-Type Zeolites

  • 김정섭;황계정;홍석봉;노경태
    • Bulletin of the Korean Chemical Society
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    • 제18권3호
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    • pp.280-286
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    • 1997
  • Potential energy function sets for some ion-exchanged A-type zeolites, K-A and Rb11Na1-A, were determined by introducing the X-ray crystal structures as constraints. The potential functions reproduced well the X-ray crystal structures of the monovalent ion-exchanged zeolites. The activation energies for the en- or de-capsulation of small molecules (H2, O2, N2, and CH4) and inert gases from the α-cage of model zeolites (Na-A, K-A, Rb11Na1-A, and Cs3Na9-A) were obtained by the molecular mechanical calculations. The calculated activation energies agreed well with experimental results.

Anti-Inflammatory Role of TAM Family of Receptor Tyrosine Kinases Via Modulating Macrophage Function

  • Lee, Chang-Hee;Chun, Taehoon
    • Molecules and Cells
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    • 제42권1호
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    • pp.1-7
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    • 2019
  • Macrophage is an important innate immune cell that not only initiates inflammatory responses, but also functions in tissue repair and anti-inflammatory responses. Regulating macrophage activity is thus critical to maintain immune homeostasis. Tyro3, Axl, and Mer are integral membrane proteins that constitute TAM family of receptor tyrosine kinases (RTKs). Growing evidence indicates that TAM family receptors play an important role in anti-inflammatory responses through modulating the function of macrophages. First, macrophages can recognize apoptotic bodies through interaction between TAM family receptors expressed on macrophages and their ligands attached to apoptotic bodies. Without TAM signaling, macrophages cannot clear up apoptotic cells, leading to broad inflammation due to over-activation of immune cells. Second, TAM signaling can prevent chronic activation of macrophages by attenuating inflammatory pathways through particular pattern recognition receptors and cytokine receptors. Third, TAM signaling can induce autophagy which is an important mechanism to inhibit NLRP3 inflammasome activation in macrophages. Fourth, TAM signaling can inhibit polarization of M1 macrophages. In this review, we will focus on mechanisms involved in how TAM family of RTKs can modulate function of macrophage associated with anti-inflammatory responses described above. We will also discuss several human diseases related to TAM signaling and potential therapeutic strategies of targeting TAM signaling.

Deep-learning-based gestational sac detection in ultrasound images using modified YOLOv7-E6E model

  • Tae-kyeong Kim;Jin Soo Kim;Hyun-chong Cho
    • Journal of Animal Science and Technology
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    • 제65권3호
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    • pp.627-637
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    • 2023
  • As the population and income levels rise, meat consumption steadily increases annually. However, the number of farms and farmers producing meat decrease during the same period, reducing meat sufficiency. Information and Communications Technology (ICT) has begun to be applied to reduce labor and production costs of livestock farms and improve productivity. This technology can be used for rapid pregnancy diagnosis of sows; the location and size of the gestation sacs of sows are directly related to the productivity of the farm. In this study, a system proposes to determine the number of gestation sacs of sows from ultrasound images. The system used the YOLOv7-E6E model, changing the activation function from sigmoid-weighted linear unit (SiLU) to a multi-activation function (SiLU + Mish). Also, the upsampling method was modified from nearest to bicubic to improve performance. The model trained with the original model using the original data achieved mean average precision of 86.3%. When the proposed multi-activation function, upsampling, and AutoAugment were applied, the performance improved by 0.3%, 0.9%, and 0.9%, respectively. When all three proposed methods were simultaneously applied, a significant performance improvement of 3.5% to 89.8% was achieved.

CH3OH/H2O 가스의 기상활성법을 이용한 다이아몬드 박막성장 과정에서의 OES분석 (OES Analysis for Diamond Film Growth by Vapor Activation Method Using CH3OH/H2O Gas)

  • 이권재;고재귀;신재수
    • 한국재료학회지
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    • 제13권1호
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    • pp.31-35
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    • 2003
  • The intensity is measured as functions of both distance from filament to substrate and $CH_3$OH/($CH_3$OH+$H_2$O) ratio by OES(Optical Emission Spectroscopy) to investigate the effects of activation species such as $H_{\alpha}$, $H_{\beta}$, H$\Upsilon\;C_3$, CH on diamond film growth.$ H_{\alpha}$ increases as $CH_3$OH composition decreases, while CH increases as $CH_3$OH composition increases. The intensity of $H_{\alpha}$ decreases as the distance increases and that of CH increases as the distance increases. The intensities of other activation species of $H_{\beta}$, H$\Upsilon\;C_3$, do not vary as a function of measured position distance. It varies randomly. It means that various parameters for depositing diamond thin film can be explained by the intensity(density) change of activation species, as a function of the distance of the filament.

기능획득 돌연변이 인삼 모상근의 대량생산 (Mass Production of Gain-of-Function Mutants of Hair Roots in Ginseng)

  • 고석민;인동수;정화지;최동욱;유장렬
    • Journal of Plant Biotechnology
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    • 제34권4호
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    • pp.285-291
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    • 2007
  • 본 연구는 아그로박테리움 공동배양법을 이용한 기능획득 인삼 모상근의 대량생산을 위한 조건 확립에 대한 것이다. 일반적으로, 인삼과 같이 형질전환을 통한종자의 확보가 어려운 식물에서는 loss-of-function을 이용한 기능유전체 연구에 한계가 있다. 한편, 유전자의 기능을 활성화시키는 방법 (gain-of-function)인 activation tagging 기술은 이러한 문제점을 극복할 수 있는 대안이 될 수 있으며, Agrobacterium rhizogenes를 이용한 모상근 생산 시스템은 대량의 돌연변이체를 안정적으로 용이하게 얻을 수 있다는 점에서 최적의 시스템이라고 할 수 있다. 본 연구에서는 activation-tagging된 효율적인 형질전환 모상근 생산에 있어서의 최적의 아그로박테리움 균주 및 인삼조직, 배지조성 등에 대한 조건을 확립하였으며, 다양한 배지에서의 형질전환 모상근의 생장률 및 분지율, 표현형 등을 조사하였다. 엽병 절편을 activation-tagging vector pKH01을 가지고 있는 A. rhizogenes R1000와 공동배양하였을 때 배양 4주후 85.9%의 빈도로 모상근이 생산되었다. 모상근의 최대 생장과 분지도를 나타내는 배양조건을 조사한 바 엽병절편을 1/2 SH 배지에서 4주 배양하였을 때 왕성하게 생장하였으며 2.6의 분지도를 보여주었다. 최종적으로 1,989개체의 독립적인 형질전환 모상근 line을 생산하였으며, 이들 모상근 line은 인삼 진세노사이드 생합성 관련 유전자의 발굴 및 기능해석에 유용하게 쓰일 것이다.