• Title/Summary/Keyword: Memory support

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A Low Power Multi-Function Digital Audio SoC

  • Lim, Chae-Duck;Lee, Kyo-Sik
    • Proceedings of the IEEK Conference
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    • 2004.06b
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    • pp.399-402
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    • 2004
  • This paper presents a system-on-chip prototype implementing a full integration for a portable digital audio system. The chip is composed of a audio processor block to implements audio decoding and voice compression or decompression software, a system control block including 8-bit MCU core and Memory Management Unit (MMU) a low power 16-bit ${\Sigma}{\Delta}$ CODEC, two DC-to-BC converter, and a flash memory controller. In order to support other audio algorithms except Mask ROM type's fixed codes, a novel 16-bit fixed-point DSP core with the program-download architecture is proposed. Funker, an efficient power management technique such as task-based clock management is implemented to reduce power consumption for portable application. The proposed chip has been fabricated with a 4 metal 0.25um CMOS technology and the chip area is about 7.1 mm ${\times}$ 7.1mm with 100mW power dissipation at 2.5V power supply.

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Construction of an Automatic Generation System of Embedded Processor Cores (임베디드 프로세서 코어 자동생성 시스템의 구축)

  • Cho Jae-Bum;You Yong-Ho;Hwang Sun-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.6A
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    • pp.526-534
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    • 2005
  • This paper presents the structure and function of the system which automatically generates embedded processor cores using the SMDL. Accepting processor description in the SDML, the proposed system generates the processor core, consisting of the pipelined datapath and memory modules together with their control unit. The generated cores support muti-cycle instructions for proper handling of memory accesses, and resolve pipeline hazards encountered in the pipelined processors. Experimental results show the functional accuracy of the generated cores.

Dynamic Mechanical Interpretations of Shape Memory Behavior (형상기억 거동의 동적 기계적 해석)

  • 이상엽
    • The Korean Journal of Rheology
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    • v.9 no.1
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    • pp.33-39
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    • 1997
  • PCL, MDI, BD 및 DMPA를 이용, 폴리우레탄(PU)을 ionomer 및 nonionomergudxo 로 제조하였으며 이때 연질성분의 함량(SSC) 및 길이가 PU의 기계적, 동적기계적 특성은 물론 형상기억특성에 미치는 영향을 연구하였다. Ionomer는 nonionomer에 비하여 경도, 탄 성율 및 강도가 모두 우수하였으며 그 효과는 실온에서 경질성분의 함량(HSC)이 높은 PU 일수록 보다 뚜렷하였는데 이는 HSC가 증가할수록 ion 중심의 농도가 증가하며 ion 중심간 의 Coulob 력이 고온보다 실온에서 보다 큰데 기인하는 것으로 해석하였다. 반복인장하중실 험에서 ionomer는 nonionomer에 비해 회복변형이 크고 잔류변형이 작았는데 이는 ionomer 의 고무탄성율이 보다 큰 데 기인한 것으로 해석하였다. 나아가 재료의 형상기억거동은 기 본적으로 탄성율의 온도의존성에 크게 의존함을 알수있었다.

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A Software And Hardware Scheme For Reducing The Branch Penalty In Parallel Computers (병렬구조 컴퓨터에서 Branch penalty를 감소시키기 위한 소프트웨어와 하드웨어 방법)

  • 함찬숙;조종현;조영일
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.11
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    • pp.11-16
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    • 1993
  • VLIW architecture capable of testing multiple conditions in a cycle must support an efficient mechanism for multi-way branches. This paper proposes a mechanism to speed up the execution of multi-way branches and an efficient memory packing method of instructions, which reduced the wasted memory space. Also, we develops a new compiler technique which can transform program segments that are not applied to multi-way branches into ones that are applied to multi-way branches. The benefits gained by the transformation are to reduce branch penalty and to increase instruction-level parallelism.

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Crime amount prediction based on 2D convolution and long short-term memory neural network

  • Dong, Qifen;Ye, Ruihui;Li, Guojun
    • ETRI Journal
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    • v.44 no.2
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    • pp.208-219
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    • 2022
  • Crime amount prediction is crucial for optimizing the police patrols' arrangement in each region of a city. First, we analyzed spatiotemporal correlations of the crime data and the relationships between crime and related auxiliary data, including points-of-interest (POI), public service complaints, and demographics. Then, we proposed a crime amount prediction model based on 2D convolution and long short-term memory neural network (2DCONV-LSTM). The proposed model captures the spatiotemporal correlations in the crime data, and the crime-related auxiliary data are used to enhance the regional spatial features. Extensive experiments on real-world datasets are conducted. Results demonstrated that capturing both temporal and spatial correlations in crime data and using auxiliary data to extract regional spatial features improve the prediction performance. In the best case scenario, the proposed model reduces the prediction error by at least 17.8% and 8.2% compared with support vector regression (SVR) and LSTM, respectively. Moreover, excessive auxiliary data reduce model performance because of the presence of redundant information.

Prediction of Distillation Column Temperature Using Machine Learning and Data Preprocessing (머신 러닝과 데이터 전처리를 활용한 증류탑 온도 예측)

  • Lee, Yechan;Choi, Yeongryeol;Cho, Hyungtae;Kim, Junghwan
    • Korean Chemical Engineering Research
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    • v.59 no.2
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    • pp.191-199
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    • 2021
  • A distillation column, which is a main facility of the chemical process, separates the desired product from a mixture by using the difference of boiling points. The distillation process requires the optimization and the prediction of operation because it consumes much energy. The target process of this study is difficult to operate efficiently because the composition of feed flow is not steady according to the supplier. To deal with this problem, we could develop a data-driven model to predict operating conditions. However, data preprocessing is essential to improve the predictive performance of the model because the raw data contains outlier and noise. In this study, after optimizing the predictive model based long-short term memory (LSTM) and Random forest (RF), we used a low-pass filter and one-class support vector machine for data preprocessing and compared predictive performance according to the method and range of the preprocessing. The performance of the predictive model and the effect of the preprocessing is compared by using R2 and RMSE. In the case of LSTM, R2 increased from 0.791 to 0.977 by 23.5%, and RMSE decreased from 0.132 to 0.029 by 78.0%. In the case of RF, R2 increased from 0.767 to 0.938 by 22.3%, and RMSE decreased from 0.140 to 0.050 by 64.3%.

Implementation of Memory Copy Reduction Scheme for Networked Multimedia Service in Linux (리눅스 커널에서 네트워크 멀티미디어 서비스를 위한 메모리 복사 감소 기법 구현)

  • Kim, Jeong-Won
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.2B
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    • pp.129-137
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    • 2003
  • Multimedia streams, like MPEG continuously retrieve multimedia data because of their incessant playback. While these streams need an efficient support of kernel, the current buffer cache mechanism of Linux kernel such as Unix operating system was designed apt for small files, which is aperiodically requested as well as time uncritical. But, in case of continuous media, the CPU must enormously copy memory from kernel address space to user address space. This must lead to a large CPU overhead. This overhead both degrades system throughput and cannot guarantee QOS. In this paper, we have designed and implemented two memory copy reduction schemes in Linux kernel, direct I/O and one copy. The direct I/O skips the buffer cache layer of Linux kernel and results in dramatic reduction of CPU memory copy overhead. And, the one copy provides a fast disk-to-network data path without copying to user address space. The experimental results show considerable reduction of CPU overhead and throughput improvements.

β-Sitosterol treatment attenuates cognitive deficits and prevents amyloid plaque deposition in amyloid protein precursor/presenilin 1 mice

  • Ye, Jian-Ya;Li, Li;Hao, Qing-Mao;Qin, Yong;Ma, Chang-Sheng
    • The Korean Journal of Physiology and Pharmacology
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    • v.24 no.1
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    • pp.39-46
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    • 2020
  • Alzheimer's disease (AD) is the most common neurodegenerative disorder causing dementia worldwide, and is mainly characterized by aggregated β-amyloid (Aβ). Increasing evidence has shown that plant extracts have the potential to delay AD development. The plant sterol β-Sitosterol has a potential role in inhibiting the production of platelet Aβ, suggesting that it may be useful for AD prevention. In the present study, we aimed to investigate the effect and mechanism of β-Sitosterol on deficits in learning and memory in amyloid protein precursor/presenilin 1 (APP/PS1) double transgenic mice. APP/PS1 mice were treated with β-Sitosterol for four weeks, from the age of seven months. Brain Aβ metabolism was evaluated using ELISA and Western blotting. We found that β-Sitosterol treatment can improve spatial learning and recognition memory ability, and reduce plaque load in APP/PS1 mice. β-Sitosterol treatment helped reverse dendritic spine loss in APP/PS1 mice and reversed the decreased hippocampal neuron miniature excitatory postsynaptic current frequency. Our research helps to explain and support the neuroprotective effect of β-Sitosterol, which may offer a novel pharmaceutical agent for the treatment of AD. Taken together, these findings suggest that β-Sitosterol ameliorates memory and learning impairment in APP/PS1 mice and possibly decreases Aβ deposition.

An Extended R-Tree Indexing Method using Prefetching in Main Memory (메인 메모리에서 선반입을 사용한 확장된 R-Tree 색인 기법)

  • Kang, Hong-Koo;Kim, Dong-O;Hong, Dong-Sook;Han, Ki-Joon
    • Journal of Korea Spatial Information System Society
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    • v.6 no.1 s.11
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    • pp.19-29
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    • 2004
  • Recently, studies have been performed to improve the cache performance of the R-Tree in main memory. A general mothed to improve the cache performance of the R-Tree is to reduce size of an entry so that a node can store more entries and fanout of it can increase. However, this method generally requites additional process to reduce information of entries and do not support incremental updates. In addition, the cache miss always occurs on moving between a parent node and a child node. To solve these problems efficiently, this paper proposes and evaluates the PR-Tree that is an extended R-Tree indexing method using prefetching in main memory. The PR-Tree can produce a wider node to optimize prefetching without additional modifications on the R-Tree. Moreover, the PR-Tree reduces cache miss rates that occur in moving between a parent node and a child node. In our simulation, the search performance, the update performance, and the node split performance of the PR-Tree improve up to 38%. 30%, and 67% respectively, compared with the original R-Tree.

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The Effect of Emotional Content and Context on Memory Encoding: ERP Studies (자극과 맥락의 정서성이 기억 부호화에 미치는 영향: ERP 연구)

  • Park, Sun-Hee;Park, Tae-Jin
    • Korean Journal of Cognitive Science
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    • v.21 no.2
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    • pp.387-408
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    • 2010
  • This study examined the effects of emotional content on the encoding process of emotional stimuli and the effects of emotional context on those of neutral stimuli. It was examined whether the superior memory of emotional stimuli is due to attentional resource allocation. This study were performed an emotional picture and a neutral word were presented in succession at every trials. The results of recognition judgement showed superior memory of emotional pictures than neutral pictures, but showed poorer memory of neutral words in emotional context than those in neutral context. LPC(Late Positive Complex) of ERP results showed the similar pattern: higher amplitude by emotional pictures than neutral pictures, and lower amplitude by neutral words in emotional context than those in neutral context. This result is considered to support attention allocation hypothesis.

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