• Title/Summary/Keyword: Memory support

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A Test of Attentional Blink: Hemifield Independence and Interaction (주의 깜박임 현상의 검증: 주의 자원의 반시야 독립성과 상호작용)

  • Kim, Jung-Yul;Lee, Guk-Hee;Lee, Hyung-Chul O.;Kim, ShinWoo
    • Science of Emotion and Sensibility
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    • v.20 no.2
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    • pp.127-136
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    • 2017
  • Attentional blink is observed in an identification task of multiple targets during rapid serial visual presentation (RSVP) where performance for the second target (T2) that follows within 500ms of the first (T1) shows systematic decrease although that for T1 remains highly accurate. Theories accounting for attentional blink can be classified into two broad categories of resource depletion model and disruption of input filter model. Meanwhile, visual attention capacity shows hemifield independence between left and right visual fields, and many studies reported bilateral advantage in a range of visual working memory tasks. The current research tested two major theories of attentional blink using bilateral independence of attentional capacity. To this end, we conducted two experiments where two RSVPs were presented in either bilateral or unilateral visual fields. Experiment 1 presented two RSVPs which contained both T1 and T2 in either bilateral or unilateral visual fields and tested interaction between attentional blink and bilateral advantage. Experiment 2 removed T1 in one of the two RSVPs to test whether attentional blink obtains when identification of T1 and T2 utilize independent sources of attention across two visual fields. The results showed that subjects were more accurate when two RSVPs were presented in bilateral visual fields (i.e., bilateral advantage) although there was no interaction between attentional blink and bilateral advantage (Experiment 1). In addition, attentional blink for T2 was observed in a T1-absent RSVP even when two RSVPs were presented in bilateral visual fields (Experiment 2). These results support disruption of input filter model rather than resource depletion model.

A Design of Fractional Motion Estimation Engine with 4×4 Block Unit of Interpolator & SAD Tree for 8K UHD H.264/AVC Encoder (8K UHD(7680×4320) H.264/AVC 부호화기를 위한 4×4블럭단위 보간 필터 및 SAD트리 기반 부화소 움직임 추정 엔진 설계)

  • Lee, Kyung-Ho;Kong, Jin-Hyeung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.6
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    • pp.145-155
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    • 2013
  • In this paper, we proposed a $4{\times}4$ block parallel architecture of interpolation for high-performance H.264/AVC Fractional Motion Estimation in 8K UHD($7680{\times}4320$) video real time processing. To improve throughput, we design $4{\times}4$ block parallel interpolation. For supplying the $10{\times}10$ reference data for interpolation, we design 2D cache buffer which consists of the $10{\times}10$ memory arrays. We minimize redundant storage of the reference pixel by applying the Search Area Stripe Reuse scheme(SASR), and implement high-speed plane interpolator with 3-stage pipeline(Horizontal Vertical 1/2 interpolation, Diagonal 1/2 interpolation, 1/4 interpolation). The proposed architecture was simulated in 0.13um standard cell library. The gate count is 436.5Kgates. The proposed H.264/AVC Fractional Motion Estimation can support 8K UHD at 30 frames per second by running at 187MHz.

Research on the Utilization of Recurrent Neural Networks for Automatic Generation of Korean Definitional Sentences of Technical Terms (기술 용어에 대한 한국어 정의 문장 자동 생성을 위한 순환 신경망 모델 활용 연구)

  • Choi, Garam;Kim, Han-Gook;Kim, Kwang-Hoon;Kim, You-eil;Choi, Sung-Pil
    • Journal of the Korean Society for Library and Information Science
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    • v.51 no.4
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    • pp.99-120
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    • 2017
  • In order to develop a semiautomatic support system that allows researchers concerned to efficiently analyze the technical trends for the ever-growing industry and market. This paper introduces a couple of Korean sentence generation models that can automatically generate definitional statements as well as descriptions of technical terms and concepts. The proposed models are based on a deep learning model called LSTM (Long Sort-Term Memory) capable of effectively labeling textual sequences by taking into account the contextual relations of each item in the sequences. Our models take technical terms as inputs and can generate a broad range of heterogeneous textual descriptions that explain the concept of the terms. In the experiments using large-scale training collections, we confirmed that more accurate and reasonable sentences can be generated by CHAR-CNN-LSTM model that is a word-based LSTM exploiting character embeddings based on convolutional neural networks (CNN). The results of this study can be a force for developing an extension model that can generate a set of sentences covering the same subjects, and furthermore, we can implement an artificial intelligence model that automatically creates technical literature.

Effects of Fermented Scutellaria Baicalensis Extract on H2O2 - Induced Impairment of Long-term Potentiation in Hippocampal CA1 Area of Rats (흰쥐 해마 CA1 영역에서 H2O2에 의한 장기강화 억제에 대한 발효황금 추출물의 효과)

  • Heo, Jun Ho;Rong, Zhang Xiao;Kim, Min Sun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.33 no.6
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    • pp.356-362
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    • 2019
  • Scutellaria baicalensis (SB) has widely used in the treatment for various brain diseases in the field of Oriental medicine. Biofermantation of SB can make major chemical constituents of SB to pass blood-brain barrier easily and to have more potent anti-oxidant ability. There is a little information about the contribution of fermented SB (FSB) to the formation or maintenance of the neural plasticity in the hippocampus. The purpose of this study was to evaluate effects of FSB extract on hydrogen peroxide (H2O2) - induced impairments of the induction and maintenance of long-term potentiation (LTP), an electrophysiological marker for the neural plasticity in the hippocampus. From hippocampal slices of rats, the field excitatory postsynaptic potentials (fEPSPs) were evoked by the electrical stimulation to the Schaffer collaterals - commissural fibers in the CA1 areas and LTP by theta-burst stimulation by using 64 - channels in vitro multi-extracellular recording system. In order to induce oxidative stress to hippocampal slices two different concentrations (200, 400 μM) of H2O2 were given to the perfused aCSF before and after the LTP induction, respectively. The ethanol extract of FBS with concentration of 25 ㎍/ml, 50 ㎍/ml was diluted in perfused aCSF that had 200 μM H2O2, respectively. Oxidative stress by the treatment of H2O2 resulted in decrease of the induction rate of LTP in the CA1 area with a dose - dependent manner. However, the ethanol extract of FSB prevented the reduction of the induction rate of LTP caused by H2O2 - induced oxidative stress with a dose - dependent manner. These results may support a potential application of FSB to ameliorate impairments of hippocampal dependent neural plasticity or memory caused by oxidative stress.

The Influence of Location Uncertainty and Visibility of Targets on the Strength of Attentional Blink (표적 위치의 불확실성과 표적 가시성이 주의깜박거림 강도에 미치는 영향)

  • Kim, Giyeon;Hyun, Joo-Seok
    • Korean Journal of Cognitive Science
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    • v.27 no.2
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    • pp.275-301
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    • 2016
  • Attentional blink (AB) refers to the phenomena where conscious report for a target (T2) subsequent to the first target (T1) in a stream of items under rapid serial visual presentation (RSVP) becomes difficult if the T2 follows no later than 500ms after the T1. The present study examined the effect of T1 visibility on T2 AB strength according to the bottleneck account proposing that the amount of allocated resources for T1 memory consolidation determines the strength of AB against T2. In the low-visibility condition, the T1 had a gray color for a low stimulus contrast against the black background whereas had a bright and saturated color in the high-visibility condition. In both visibility conditions, the T1 was also highly distinct from the remaining distractors. A multi-RSVP method was also used for increasing location uncertainty of the targets supposedly consuming on average attentional resources for the targets. Two experiments revealed that AB strength was more intense in the low-visibility than high-visibility condition, and the pattern of difference went more pronounced if T2 visibility was improved. The results indicate that T1 visibility can affect more strongly when attentional resources are relatively lacking for resolving the T1 bottleneck, and support for the bottleneck account proposing that the level of T1's visibility can determine the intensity of the T1 bottleneck.

Design and Implementation of An I/O System for Irregular Application under Parallel System Environments (병렬 시스템 환경하에서 비정형 응용 프로그램을 위한 입출력 시스템의 설계 및 구현)

  • No, Jae-Chun;Park, Seong-Sun;;Gwon, O-Yeong
    • Journal of KIISE:Computer Systems and Theory
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    • v.26 no.11
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    • pp.1318-1332
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    • 1999
  • 본 논문에서는 입출력 응용을 위해 collective I/O 기법을 기반으로 한 실행시간 시스템의 설계, 구현 그리고 그 성능평가를 기술한다. 여기서는 모든 프로세서가 동시에 I/O 요구에 따라 스케쥴링하며 I/O를 수행하는 collective I/O 방안과 프로세서들이 여러 그룹으로 묶이어, 다음 그룹이 데이터를 재배열하는 통신을 수행하는 동안 오직 한 그룹만이 동시에 I/O를 수행하는 pipelined collective I/O 등의 두 가지 설계방안을 살펴본다. Pipelined collective I/O의 전체 과정은 I/O 노드 충돌을 동적으로 줄이기 위해 파이프라인된다. 이상의 설계 부분에서는 동적으로 충돌 관리를 위한 지원을 제공한다. 본 논문에서는 다른 노드의 메모리 영역에 이미 존재하는 데이터를 재 사용하여 I/O 비용을 줄이기 위해 collective I/O 방안에서의 소프트웨어 캐슁 방안과 두 가지 모형에서의 chunking과 온라인 압축방안을 기술한다. 그리고 이상에서 기술한 방안들이 입출력을 위해 높은 성능을 보임을 기술하는데, 이 성능결과는 Intel Paragon과 ASCI/Red teraflops 기계 상에서 실험한 것이다. 그 결과 응용 레벨에서의 bandwidth는 peak point가 55%까지 측정되었다.Abstract In this paper we present the design, implementation and evaluation of a runtime system based on collective I/O techniques for irregular applications. We present two designs, namely, "Collective I/O" and "Pipelined Collective I/O". In the first scheme, all processors participate in the I/O simultaneously, making scheduling of I/O requests simpler but creating a possibility of contention at the I/O nodes. In the second approach, processors are grouped into several groups, so that only one group performs I/O simultaneously, while the next group performs communication to rearrange data, and this entire process is pipelined to reduce I/O node contention dynamically. In other words, the design provides support for dynamic contention management. Then we present a software caching method using collective I/O to reduce I/O cost by reusing data already present in the memory of other nodes. Finally, chunking and on-line compression mechanisms are included in both models. We demonstrate that we can obtain significantly high-performance for I/O above what has been possible so far. The performance results are presented on an Intel Paragon and on the ASCI/Red teraflops machine. Application level I/O bandwidth up to 55% of the peak is observed.he peak is observed.

An Efficient Reasoning Method for OWL Properties using Relational Databases (관계형 데이터베이스를 이용한 효율적인 OWL 속성 추론 기법)

  • Lin, Jiexi;Lee, Ji-Hyun;Chung, Chin-Wan
    • Journal of KIISE:Databases
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    • v.37 no.2
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    • pp.92-103
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    • 2010
  • The Web Ontology Language (OWL) has become the W3C recommendation for publishing and sharing ontologies on the Semantic Web. To derive hidden information from OWL data, a number of OWL reasoners have been proposed. Since OWL reasoners are memory-based, they cannot handle large-sized OWL data. To overcome the scalability problem, RDBMS-based systems have been proposed. These systems store OWL data into a database and perform reasoning by incorporating the use of a database. However, they do not consider complete reasoning on all types of properties defined in OWL and the database schemas they use are ineffective for reasoning. In addition, they do not manage updates to the OWL data which can occur frequently in real applications. In this paper, we compare various database schemas used by RDBMS-based systems and propose an improved schema for efficient reasoning. Also, to support reasoning for all the types of properties defined in OWL, we propose a complete and efficient reasoning algorithm. Furthermore, we suggest efficient approaches to managing the updates that may occur on OWL data. Experimental results show that our schema has improved performance in OWL data storage and reasoning, and that our approaches to managing updates to OWL data are more efficient than the existing approaches.

Elementary Teachers' Perception, Practice, and Background Factors in Using Students' Everyday Experience in Teaching Science (과학수업에서 학생의 일상경험 도입에 대한 초등교사의 인식과 실행 및 배경요인)

  • Na, Jiyeon;Song, Jinwoong
    • Journal of The Korean Association For Science Education
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    • v.34 no.7
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    • pp.635-645
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    • 2014
  • The purpose of this study is to identify elementary school teachers' perceptions, practices, and background factors related to introducing students' everyday experience in science teaching process. The participants of this study were four elementary school teachers who have different features such as major, teaching period, gender, growth area, and age. The data was collected through semi-constructed and in-depth interviews. The results of the research are as follows: Teachers mostly used students' everyday experience during the introduction phase of science lessons for the purpose of motivation. They hold a positive view of using students' everyday experience during science lessons and thought that science teaching needs to actively use more of students' everyday experience, while in actual practice they disregarded or only passively introduced students' everyday experience. The various background factors found to affect teachers' practice are as follows: positive memory on their science class; educational experience of their own children; their own childhood environment; their learning style; their insufficient knowledge or enthusiasm; perceived educational value of everyday life in science education; teacher's duties; importance of students' achievement; difficulty in guiding experiment; reaction of students on introducing everyday experience; characteristics of science textbook and teacher's guidebook; lack of lesson time; realization of national common basic education; characteristics of their students; demands from parents or students; effect of introducing everyday experience. In addition, we found that the teachers behave not in accordance with what they thought due to external factors related to their profession and that, for a more active use of students' everyday experience in their teaching, teachers need support from textbooks and teachers' guidebooks.

Post Discharge Nursing Needs of Patients with Open Heart Surgery (개심술 환자의 퇴원후 간호요구에 대한 조사연구)

  • 김명희
    • Journal of Korean Academy of Nursing
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    • v.23 no.4
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    • pp.664-677
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    • 1993
  • The purpose of this study was to provide basic data for the development of educational material in Korean for patient3 being discharge after open heart surgery. The subjects were 45 adult patients who were seen in the out -patient department of the thoracic surgery unit of P University hospital between February 1993 and May 1993. The data were collected through a chart review and interview. Nursing needs, and the patients status related to diet, activity, medication, physical and psychoemotional limitations were analyzed. The results are summarized as follows ; 1. Mitral valve replacement was the most frequent type of surgery(91.2%). In most cases, a mechanical valve was used (91.0%) . The duration of admission after the operation was two to four weeks for most of the patients(48.9%). The follow-up period was between one and two years for 28.9% of the patients and below 6 years for all of the patients. 2. Many Patients didn’t know the importance of a low salt diet(57.8%), and did not get any education on low salt diet (66.7%). Gimchi was included as one of the most commonly ingested foods (77.8%). All of the patients indicated nursing needs related to education about low salt diets and further they indicated a major interest in foods that are harmful (57.7%) or foods that are safe(51.1% ). 3. Most patients did not recognize the need for limitations on physical activity(84.4%). Further, 31.1% of them could not return to work at the time of the study. All patients had nursing needs related to physical activity, with the most frequent questions being about the permissble degree of activity and special cautions dictated by their illness (60.0%). 4. Many patients were ignorant of the necessity of medication(55.6%) . Forty percent of the patients were taking additional drugs, usually herb drugs. The time and duration of medication and the side effects of drugs were common concerns (57.7%) related to nursing. needs about medication and were mentioned by all of the patients. 5. All of the patients complained of physical discomfort including the following : memory disturbance(62.2%), weight gain(60.0%), chest tightness (55.6%), hair loss(51.1%), sleep disturbance(46.7%) and other symptoms in that order of frequency. Nursing needs related to physical condition were a concern for all of them. The viability and function of the replaced valve(53.3%) and weight gain(60.0%) were mal or concerns. 6. Looking at their psychoemotional condition it was found that 36 patients(80.0%) were emotionally unstable. The causes were physical discomfort(17 patients), insufficient knowlege of open heart surgery(6 patients), fear of death(6 patients), familial over protection(2 patients ) and lack of support (5 patients).

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A High Speed Block Turbo Code Decoding Algorithm and Hardware Architecture Design (고속 블록 터보 코드 복호 알고리즘 및 하드웨어 구조 설계)

  • 유경철;신형식;정윤호;김근회;김재석
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.41 no.7
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    • pp.97-103
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    • 2004
  • In this paper, we propose a high speed block turbo code decoding algorithm and an efficient hardware architecture. The multimedia wireless data communication systems need channel codes which have the high-performance error correcting capabilities. Block turbo codes support variable code rates and packet sizes, and show a high performance due to a soft decision iteration decoding of turbo codes. However, block turbo codes have a long decoding time because of the iteration decoding and a complicated extrinsic information operation. The proposed algorithm using the threshold that represents a channel information reduces the long decoding time. After the threshold is decided by a simulation result, the proposed algorithm eliminates the calculation for the bits which have a good channel information and assigns a high reliability value to the bits. The threshold is decided by the absolute mean and the standard deviation of a LLR(Log Likelihood Ratio) in consideration that the LLR distribution is a gaussian one. Also, the proposed algorithm assigns '1', the highest reliable value, to those bits. The hardware design result using verilog HDL reduces a decoding time about 30% in comparison with conventional algorithm, and includes about 20K logic gate and 32Kbit memory sizes.