• Title/Summary/Keyword: Long Term Memory

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Memory-saving Real-time Collaborative Editing System using Valid-Time Operational Transformation (유효시간 운영변환을 이용한 메모리 절약형 실시간 협업 편집 시스템)

  • Kwon, Oh-Seok;Kim, Young-Bong;Kwon, Oh-Jun;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.21 no.2
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    • pp.232-241
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    • 2018
  • Operational Transformation (OT) algorithms for real-time collaborative editing systems are becoming increasingly important due to the increased demand for collaborative data processing. The operational transformation algorithm is a technique for real-time concurrency control and consistency maintenance with non-locking technique, and many studies have been conducted to overcome three issues of convergence, causality-prevention, and intention-prevention. However, previous work has the disadvantage of wasting memory by storing all operations that occurred during an edit operation in the history buffer to solve this problem. Therefore, we propose a memory-saving real-time collaborative editing system that maintains a constant memory space and concurrency control through a method of applying the valid-time to each user-generated operation in order to reduce memory waste. This system prevents long-term memory occupation of client-generated operations, thus it reduces the space and time complexity even with low-rate of collaboration work, so that the performance degradation avoids.

Strengthened connections between engrams encode specific memories

  • Kim, Ji-il;Choi, Dong Il;Kaang, Bong-Kiun
    • BMB Reports
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    • v.51 no.8
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    • pp.369-370
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    • 2018
  • In previous studies, memory storage was localized to engram cells distributed across the brain. While these studies have provided an individual cellular profile of engram cells, their synaptic connectivity, or whether they follow Hebbian mechanisms, remains uncertain. Therefore, our recent study investigated whether synapses between engram cells exhibit selectively enhanced structural and functional properties following memory formation. This was accomplished using a newly developed technique called "dual-eGRASP". We found that the number and size of spines on CA1 engram cells that receive inputs from CA3 engram cells were larger than at other synapses. We further observed that this enhanced connectivity correlated with induced memory strength. CA3 engram synapses exhibited increased release probability, while CA1 engram synapses produced enhanced postsynaptic responses. CA3 engram to CA1 engram projections showed strong occlusion of long-term potentiation. We demonstrated that the synaptic connectivity of CA3 to CA1 engram cells was strengthened following memory formation. Our results suggest that Hebbian plasticity occurs during memory formation among engram cells at the synapse level.

Gene repressive mechanisms in the mouse brain involved in memory formation

  • Yu, Nam-Kyung;Kaang, Bong-Kiun
    • BMB Reports
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    • v.49 no.4
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    • pp.199-200
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    • 2016
  • Gene regulation in the brain is essential for long-term plasticity and memory formation. Despite this established notion, the quantitative translational map in the brain during memory formation has not been reported. To systematically probe the changes in protein synthesis during memory formation, our recent study exploited ribosome profiling using the mouse hippocampal tissues at multiple time points after a learning event. Analysis of the resulting database revealed novel types of gene regulation after learning. First, the translation of a group of genes was rapidly suppressed without change in mRNA levels. At later time points, the expression of another group of genes was downregulated through reduction in mRNA levels. This reduction was predicted to be downstream of inhibition of ESR1 (Estrogen Receptor 1) signaling. Overexpressing Nrsn1, one of the genes whose translation was suppressed, or activating ESR1 by injecting an agonist interfered with memory formation, suggesting the functional importance of these findings. Moreover, the translation of genes encoding the translational machineries was found to be suppressed, among other genes in the mouse hippocampus. Together, this unbiased approach has revealed previously unidentified characteristics of gene regulation in the brain and highlighted the importance of repressive controls.

Effects of Ganoderma lucidum Extract on Memory and Oxidative Stress of Senescence-Accelerated Mouse (노화촉진마우스의 기억력 및 산화 스트레스에 미치는 영지 (Ganoderma lucidum) 추출물의 영향)

  • 유제권;최선주;강종구;한상섭
    • Journal of Life Science
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    • v.9 no.5
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    • pp.548-555
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    • 1999
  • Long-term effects of Ganoderma lucidum (GL) on memory and oxidative stress of senescence-accelerated mice (SAM) were investigated. Senescence-resistant (R1) and prone (P8) strains of SAM were fed GL diets, premixed with low (20 mg/kg/day, T1) or high (200 mg/kg/day, T2) levels of GL powder for 9 months starting from young (3 months of age) or for 5 months starting from old (7 months of age). After the final feeding at 12 months of age, all animals were subjected to passive avoidance test for the evaluation of memory function. In addition, the changes in hepatic thiobarbituric acid-reactive substance (TBARS) and glutathione were analyzed. SAMP8 fed GL diets from old age (7 months) exhibited the improvement of memory, although GL rather inhibited the memory function of both SAMR1 and SAMP8 mice fed diets from young (3 months of age). Hepatic TBARS contents were decreased in SAMP8 fed high GL diet for 9 months and in SAMR1 fed low GL diet for 5 months. Hepatic glutathione content was also remarkably increased in SAMR1 following both feeding periods, and less extent in SAMP8 fed diet for 5 months of age. Taken together, it is proposed that GL extracts may play an anti-aging role through antioxidant action, and thereby may improve the senescence-related memory dysfunction.

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Adaptive Learning Control fo rUnknown Monlinear Systems by Combining Neuro Control and Iterative Learning Control (뉴로제어 및 반복학습제어 기법을 결합한 미지 비선형시스템의 적응학습제어)

  • 최진영;박현주
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.3
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    • pp.9-15
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    • 1998
  • This paper presents an adaptive learning control method for unknown nonlinear systems by combining neuro control and iterative learning control techniques. In the present control system, an iterative learning controller (ILC) is used for a process of short term memory involved in a temporary adaptive and learning manipulation and a short term storage of a specific temporary action. The learning gain of the iterative learning law is estimated by using a neural network for an unknown system except relative degrees. The control informations obtained by ILC are transferred to a long term memory-based feedforward neuro controller (FNC) and accumulated in it in addition to the previously stored infonnations. This scheme is applied to a two link robot manipulator through simulations.

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Deep learning model that considers the long-term dependency of natural language (자연 언어의 장기 의존성을 고려한 심층 학습 모델)

  • Park, Chan-Yong;Choi, Ho-Jin
    • Annual Conference on Human and Language Technology
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    • 2018.10a
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    • pp.281-284
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    • 2018
  • 본 논문에서는 machine reading 분야에서 기존의 long short-term memory (LSTM) 모델이 가지는 문제점을 해결하는 새로운 네트워크를 제안하고자 한다. 기존의 LSTM 모델은 크게 두가지 제한점을 가지는데, 그 중 첫째는 forget gate로 인해 잊혀진 중요한 문맥 정보들이 복원될 수 있는 방법이 없다는 것이다. 자연어에서 과거의 문맥 정보에 따라 현재의 단어의 의미가 크게 좌지우지될 수 있으므로 올바른 문장의 이해를 위해 필요한 과거 문맥의 정보 유지는 필수적이다. 또 다른 문제는 자연어는 그 자체로 단어들 간의 복잡한 구조를 통해 문장이 이루어지는 반면 기존의 시계열 모델들은 단어들 간의 관계를 추론할 수 있는 직접적인 방법을 가지고 있지 않다는 것이다. 본 논문에서는 최근 딥 러닝 분야에서 널리 쓰이는 attention mechanism과 본 논문이 제안하는 restore gate를 결합한 네트워크를 통해 상기 문제를 해결하고자 한다. 본 논문의 실험에서는 기존의 다른 시계열 모델들과 비교를 통해 제안한 모델의 우수성을 확인하였다.

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Experimental studies on the fatigue life of shape memory alloy bars

  • Casciati, Sara;Marzi, Alessandro
    • Smart Structures and Systems
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    • v.6 no.1
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    • pp.73-85
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    • 2010
  • The potential offered by the thermo-mechanical properties of shape memory alloys (SMA) in structural engineering applications has been the topic of many research studies during the last two decades. The main issues concern the long-term predictability of the material behaviour and the fatigue lifetime of the macro structural elements (as different from the one of wire segments). The laboratory tests reported in this paper are carried out on bar specimens and they were planned in order to pursue two objectives. First, the creep phenomenon is investigated for two different alloys, a classical Ni-Ti alloy and a Cu-based alloy. The attention is then focused on the Cu-based alloy only and its fatigue characteristics at given temperatures are investigated. Stress and thermal cycles are alternated to detect any path dependency.

Elevated RalA activity in the hippocampus of PI3Kγ knock-out mice lacking NMDAR-dependent long-term depression

  • Sim, Su-Eon;Lee, Hye-Ryeon;Kim, Jae-Ick;Choi, Sun-Lim;Bakes, Joseph;Jang, Deok-Jin;Lee, Kyungmin;Han, Kihoon;Kim, Eunjoon;Kaang, Bong-Kiun
    • BMB Reports
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    • v.46 no.2
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    • pp.103-106
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    • 2013
  • Phosphoinositide 3-kinases (PI3Ks) play key roles in synaptic plasticity and cognitive functions in the brain. We recently found that genetic deletion of $PI3K{\gamma}$, the only known member of class IB PI3Ks, results in impaired N-methyl-D-aspartate receptor-dependent long-term depression (NMDAR-LTD) in the hippocampus. The activity of RalA, a small GTP-binding protein, increases following NMDAR-LTD inducing stimuli, and this increase in RalA activity is essential for inducing NMDAR-LTD. We found that RalA activity increased significantly in $PI3K{\gamma}$ knockout mice. Furthermore, NMDAR-LTD-inducing stimuli did not increase RalA activity in $PI3K{\gamma}$ knockout mice. These results suggest that constitutively increased RalA activity occludes further increases in RalA activity during induction of LTD, causing impaired NMDAR-LTD. We propose that $PI3K{\gamma}$ regulates the activity of RalA, which is one of the molecular mechanisms inducing NMDAR-dependent LTD.

On the Parcel Loading System of Naive Bayes-LSTM Model Based Predictive Maintenance Platform for Operational Safety and Reliability (Naive Bayes-LSTM 기반 예지정비 플랫폼 적용을 통한 화물 상차 시스템의 운영 안전성 및 신뢰성 확보 연구)

  • Sunwoo Hwang;Jinoh Kim;Junwoo Choi;Youngmin Kim
    • Journal of the Korea Safety Management & Science
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    • v.25 no.4
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    • pp.141-151
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    • 2023
  • Recently, due to the expansion of the logistics industry, demand for logistics automation equipment is increasing. The modern logistics industry is a high-tech industry that combines various technologies. In general, as various technologies are grafted, the complexity of the system increases, and the occurrence rate of defects and failures also increases. As such, it is time for a predictive maintenance model specialized for logistics automation equipment. In this paper, in order to secure the operational safety and reliability of the parcel loading system, a predictive maintenance platform was implemented based on the Naive Bayes-LSTM(Long Short Term Memory) model. The predictive maintenance platform presented in this paper works by collecting data and receiving data based on a RabbitMQ, loading data in an InMemory method using a Redis, and managing snapshot DB in real time. Also, in this paper, as a verification of the Naive Bayes-LSTM predictive maintenance platform, the function of measuring the time for data collection/storage/processing and determining outliers/normal values was confirmed. The predictive maintenance platform can contribute to securing reliability and safety by identifying potential failures and defects that may occur in the operation of the parcel loading system in the future.

Negative Effects of City Slogan on the Retrieval of City Memory Unrelated to the Slogan (도시슬로건이 도시기억의 인출에 미치는 부정적 영향 :슬로건과 관련 없는 도시기억을 중심으로)

  • Kim, Dohyung;Hwang, Insuk
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.224-236
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    • 2022
  • This study tests the hypotheses that city slogan reduces the retrieval of city memory unrelated to the slogan from the long term memory and that some variables moderate this effect, using the experimental method. The theoretical basis for the hypotheses is from the structure of the long term memory and the principle of memory retrieval discussed in ANM(Associative Network Model). For the test of hypotheses, the study adopted 4 experimental groups (2(slogan relevance: high or low) * 2(slogan concreteness: high or low)) and 1 control group. Each experimental group was exposed to one slogan corresponding to its condition while the control group was not. Then, the recall score was compared among experimental and control groups. One hundred and seventy-four undergraduate students belonging to the college of the authors participated in the study. The sample group was between 18 and 27 years of age, with an average of 22.4 years, and 54 percent comprised males. Results showed that city slogan had a negative effect on the retrieval of city memory unrelated to the slogan in most experimental conditions. This effect was more evident when the slogan had high relevance or high concreteness. But the main effect did not appear when the slogan had low relevance and low concreteness.