• Title/Summary/Keyword: Memory Volume

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Real-Time GPU Technique for Extracting Mesh Isosurfaces from BCC Volume Datasets (BCC 볼륨 데이터로부터 실시간으로 메시 형태의 등가면을 추출하는 GPU 기법)

  • Kim, Hyunjun;Kim, Minho
    • Journal of the Korea Computer Graphics Society
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    • v.26 no.4
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    • pp.17-26
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    • 2020
  • We present a real-time GPU(Graphic Processing Unit) marching tetrahedra technique that extracts isosurfaces in the indexed mesh format from BCC(Body Centered Cubic) volume datasets. Compared to classical marching tetrahedra, our method shows better performance with little memory overhead. Our technique is composed of five stages. In the first stage, which needs to be done only once, we build min/max blocks that is to be used for empty space skipping to boost the performance. Next, we extract active blocks that contain the current isovalue. In the next two stages, we extract the edges and cells that contain the isosurface and then the final triangular mesh is generated in the last stage. When applied 5123 or higher resolution volume dataset, our technique shows up to 5 times speed improvement compared to the classical marching tetrahedra algorithm.

Cognitive Dysfunction and Hippocampal Damage Induced by Hypoxic-Ischemic Brain Injury and Prolonged Febrile Convulsions in Immature Rats

  • Byeon, Jung Hye;Kim, Gun-Ha;Kim, Joo Yeon;Sun, Woong;Kim, Hyun;Eun, Baik-Lin
    • Journal of Korean Neurosurgical Society
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    • v.58 no.1
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    • pp.22-29
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    • 2015
  • Objective : Perinatal hypoxic-ischemic encephalopathy (HIE) and prolonged febrile seizures (pFS) are common neurologic problems that occur during childhood. However, there is insufficient evidence from experimental studies to conclude that pFS directly induces hippocampal injury. We studied cognitive function and histological changes in a rat model and investigated which among pFS, HIE, or a dual pathologic effect is most detrimental to the health of children. Methods : A rat model of HIE at postnatal day (PD) 7 and a pFS model at PD10 were used. Behavioral and cognitive functions were investigated by means of weekly open field tests from postnatal week (PW) 3 to PW7, and by daily testing with the Morris water maze test at PW8. Pathological changes in the hippocampus were observed in the control, pFS, HIE, and HIE+pFS groups at PW9. Results : The HIE priming group showed a seizure-prone state. The Morris water maze test revealed a decline in cognitive function in the HIE and HIE+pFS groups compared with the pFS and control groups. Additionally, the HIE and HIE+pFS groups showed significant hippocampal neuronal damage, astrogliosis, and volume loss, after maturation. The pFS alone induced minimal hippocampal neuronal damage without astrogliosis or volume loss. Conclusion : Our findings suggest that pFS alone causes no considerable memory or behavioral impairment, or cellular change. In contrast, HIE results in lasting memory impairment and neuronal damage, gliosis, and tissue loss. These findings may contribute to the understanding of the developing brain concerning conditions caused by HIE or pFS.

Cross Compressed Replication Scheme for Large-Volume Column Storages (대용량 컬럼 저장소를 위한 교차 압축 이중화 기법)

  • Byun, Siwoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.5
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    • pp.2449-2456
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    • 2013
  • The column-oriented database storage is a very advanced model for large-volume data analysis systems because of its superior I/O performance. Traditional data storages exploit row-oriented storage where the attributes of a record are placed contiguously in hard disk for fast write operations. However, for search-mostly datawarehouse systems, column-oriented storage has become a more proper model because of its superior read performance. Recently, solid state drive using MLC flash memory is largely recognized as the preferred storage media for high-speed data analysis systems. In this paper, we introduce fast column-oriented data storage model and then propose a new storage management scheme using a cross compressed replication for the high-speed column-oriented datawarehouse system. Our storage management scheme which is based on two MLC SSD achieves superior performance and reliability by the cross replication of the uncompressed segment and the compressed segment under high workloads of CPU and I/O. Based on the results of the performance evaluation, we conclude that our storage management scheme outperforms the traditional scheme in the respect of update throughput and response time of the column segments.

Age-related neurocognitive changes and exercise-induced benefits: A review of cognitive neuroscientific research (노화 관련 뇌인지 변화와 운동의 긍정적 영향: 인지신경과학적 연구 개관)

  • Shin, Eunsam
    • Korean Journal of Cognitive Science
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    • v.24 no.1
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    • pp.1-24
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    • 2013
  • The elderly population continues to increase in Korea and there has been a growing interest in understanding normal aging. In response to this public interest, the present paper reviewed human aging research focusing on recently published neuroimaging studies. For the first half of the paper, I reviewed the effects of aging on the brain and cognition. In normal aging, structural changes in the brain include atrophy and volume reduction in the prefrontal and temporal cortices. Functional changes are exhibited in the form of overactivation of the brain. Moreover, age-related cognitive decline is particularly observed in inhibition and memory, which are also associated with the age-related structural changes in the brain. For the second half of the paper, I introduced physical exercise studies showing that exercise played a protective role in the age-related neurocognitive decline. More specifically, engaging in physical exercise (particularly, aerobic exercise) for a relatively long period of time (e. g., > 6 mon.) protected older adults from volume loss in the prefrontal cortex and the hippocampus, and induced better inhibition and memory. These exercise-induced benefits appear to be associated with changes in neuronal levels, indicating that the aging brain is still plastic and this plasticity can be enhanced by physical exercise.

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Conv-LSTM-based Range Modeling and Traffic Congestion Prediction Algorithm for the Efficient Transportation System (효율적인 교통 체계 구축을 위한 Conv-LSTM기반 사거리 모델링 및 교통 체증 예측 알고리즘 연구)

  • Seung-Young Lee;Boo-Won Seo;Seung-Min Park
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.2
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    • pp.321-327
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    • 2023
  • With the development of artificial intelligence, the prediction system has become one of the essential technologies in our lives. Despite the growth of these technologies, traffic congestion at intersections in the 21st century has continued to be a problem. This paper proposes a system that predicts intersection traffic jams using a Convolutional LSTM (Conv-LSTM) algorithm. The proposed system models data obtained by learning traffic information by time zone at the intersection where traffic congestion occurs. Traffic congestion is predicted with traffic volume data recorded over time. Based on the predicted result, the intersection traffic signal is controlled and maintained at a constant traffic volume. Road congestion data was defined using VDS sensors, and each intersection was configured with a Conv-LSTM algorithm-based network system to facilitate traffic.

A Case Study of the Base Technology for the Smart Grid Security: Focusing on a Performance Improvement of the Basic Algorithm for the DDoS Attacks Detection Using CUDA

  • Huh, Jun-Ho;Seo, Kyungryong
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.411-417
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    • 2016
  • Since the development of Graphic Processing Unit (GPU) in 1999, the development speed of GPUs has become much faster than that of CPUs and currently, the computational power of GPUs exceeds CPUs dozens and hundreds times in terms of decimal calculations and costs much less. Owing to recent technological development of hardwares, general-purpose computing and utilization using GPUs are on the rise. Thus, in this paper, we have identified the elements to be considered for the Smart Grid Security. Focusing on a Performance Improvement of the Basic Algorithm for the Stateful Inspection to Detect DDoS Attacks using CUDA. In the program, we compared the search speeds of GPU against CPU while they search for the suffix trees. For the computation, the system constraints and specifications were made identical during the experiment. We were able to understand from the results of the experiment that the problem-solving capability improves when GPU is used. The other finding was that performance of the system had been enhanced when shared memory was used explicitly instead of a global memory as the volume of data became larger.

Column-aware Polarization Scheme for High-Speed Database Systems (고속 데이터베이스 시스템을 위한 컬럼-인지 양분화 기법)

  • Byun, Si-Woo
    • Journal of Internet Computing and Services
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    • v.13 no.3
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    • pp.83-91
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    • 2012
  • Recently, column-oriented storage has become a progressive model for high-speed database systems because of its superior I/O performance. In this paper, we analysis traditional raw-oriented storage model and then propose a new column-aware storage management model using flash memory drive and assist drive to improve the effective performance of the high-speed column-oriented database system. Our storage management scheme called column-aware polarization improves the performance of update operation by dividing and compressing table columns into active-columns or inactive-columns, and balancing congested update operations using a assist drive in high workload periods. The results obtained from experimental tests show that our scheme improves the update throughput of column-oriented storage by 19 percent, and the response time by up to 49 percent.

A Study of Dynamic Characteristics of Segmented Shape Memory Alloy Wire (구간 분할된 형상기억합금 와이어의 동특성에 관한 연구)

  • Jeong S.H.;Kim J.H.;Kim G.H.;Lee S.H.;Shin S.M.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.329-330
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    • 2006
  • The research and development of an actuator are accelerating in the robotics industry. The electricity polymer and SMA actuator are designed simply and are produced a lot of forces per unit volume. Their motions are similar to human's motion, But the repeatability of the electricity polymer actuator is lower. The reaction velocity of the SMA actuator is slow and the travel is short. In this paper, the dynamic characteristic of the segmented SMA is studied. The SMA wire is divided by using the Thermo-electric module(TEM) to control each of segments independently. The MOSFET circuit is used to supply constant currents fer the Thermo-electric module(TEM). The hysteresis and displacement of the SMA wire according to load are measured.

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Wire frame drive unit ofa SMA-based 3D shape display (SMA을 이용한 3차원 형상제시기의 와이어프레임 구동 유닛)

  • Chu Y.J.;Kim Y.M.;Song J.B.;Park S.S.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.439-440
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    • 2006
  • This research proposes a novel method of shape display to present 3-dimensional objects. Shape displays allow us to feel the actual volume of the object, unlike conventional 2D visual displays of 3D objects. The proposed method employs a wire frame structure to present 3D objects. The wire frame is composed of small units driven by shape memory alloy(SMA) actuators. The drive unit is analogous to the agonist-antagonist system of animal musculoskeletal systems, where the SMA actuators serve as agonist and antagonist muscles. The force in the SMA actuator is controlled by electrical current. The drive unit is equipped with the locking mechanism so that it can sustain the external force exerted by the user as well as the own weight of the wire frame structure. By controlling the current into the SMA actuator and locking mechanism, we call control the angle of the drive unit. A chain of drive units enables presentation of 2 dimensional objects. 3 dimensional presentations are possible by collecting the chains of drive units.

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Effect of Thermal Cycling on Shape Memory Effect and Stabilization of Parent Phase in Fe-21%Mn Alloy (Fe-21%Mn 합금의 형상기억효과와 모상의 안정화에 미치는 반복열처리의 영향)

  • Jin, W.;Choi, C.S.
    • Journal of the Korean Society for Heat Treatment
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    • v.4 no.3
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    • pp.31-38
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    • 1991
  • Effect of thermal cycling on shape memory effect and stabilization of austenite was investigated in Fe-21%Mn alloy. The thermal cyclic treatment was carried out with two types, room temperature${\leftrightarrow}215^{\circ}C$ and room temperature${\leftrightarrow}260^{\circ}C$. In case of the room temperature${\leftrightarrow}215^{\circ}C$, the SME was rapidly increased up to 3 cycles and maintained nearly constant value regardless of further cycles. In case of the room temperature${\leftrightarrow}260^{\circ}C$, however, the SME was increased with increasing the thermal cycle up to 5 cycles and decreased gradually with further cycle. The variation of the ${\varepsilon}$ martensite volume pet with the thermal cycle was in good agreement with the variation of the SME. Therefore, the change of the SME due to the cyclic treatment was explained with the change of the ${\varepsilon}$ martensite content. As the thermal cycle was increased, the $M_s$ temperature was decreased, and the $A_s$ and $A_f$ temperatures were increased, respectively.

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